<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
<title>Openshelf: research on authors' own websites</title>
<id>https://chenxiachan.github.io/openshelf/</id>
<updated>2026-11-07T01:05:49Z</updated>
<link href="https://chenxiachan.github.io/openshelf/"/>
<link rel="self" href="https://chenxiachan.github.io/openshelf/feed.xml"/>
<entry>
<title>App Store 2026 in numbers: AI, pricing, abandoned apps</title>
<link href="https://obelisk.club/research/app-store-2026"/>
<id>https://obelisk.club/research/app-store-2026</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>obelisk.club</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Tallies AI features and in-app purchases across 178,637 App Store apps.</summary>
</entry>
<entry>
<title>How scientists use Claude</title>
<link href="https://www.anthropic.com/research/how-researchers-use-claude"/>
<id>https://www.anthropic.com/research/how-researchers-use-claude</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Uses a privacy-preserving method to study how scientists use Claude.</summary>
</entry>
<entry>
<title>Teaching Qwen Why</title>
<link href="https://www.lesswrong.com/posts/35yw2qGK7naFLAvcq/teaching-qwen-why-1"/>
<id>https://www.lesswrong.com/posts/35yw2qGK7naFLAvcq/teaching-qwen-why-1</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Experiments on teaching Qwen the reasons behind behavior for alignment.</summary>
</entry>
<entry>
<title>Experiments That Could Win</title>
<link href="https://aspirationalneuroscience.org/experiments/"/>
<id>https://aspirationalneuroscience.org/experiments/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>aspirationalneuroscience.org</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Concrete experimental proposals for winning the Memory Decoding Challenge.</summary>
</entry>
<entry>
<title>Automated "Inverse" Design of Grating Couplers for Co-Packaged Optics</title>
<link href="https://engineering.flexcompute.com/articles/inverse-design-grating-couplers/"/>
<id>https://engineering.flexcompute.com/articles/inverse-design-grating-couplers/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>engineering.flexcompute.com</name></author>
<category term="engineering-env" label="Engineering &amp; environment"/>
<summary>Describes automated inverse design of grating couplers for co-packaged optics using shape optimization and adjoint methods.</summary>
</entry>
<entry>
<title>Codetations: Rich, Granular, and Maintainable Annotations for Evolving Code</title>
<link href="https://ztatlock.net/pubs/2026-uist-codetations/"/>
<id>https://ztatlock.net/pubs/2026-uist-codetations/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>ztatlock.net</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Research project page for Codetations, a VSCode extension for persistent code annotations.</summary>
</entry>
<entry>
<title>Shaping and Monitoring Models Through Their Internal Representations</title>
<link href="https://www.goodfire.com/research/mechanistic-shaping"/>
<id>https://www.goodfire.com/research/mechanistic-shaping</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>goodfire.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Research on shaping and monitoring models through their internal representations.</summary>
</entry>
<entry>
<title>The Secret Leak Test: how well GateBolt kept Hodor's password, and where it didn't</title>
<link href="https://hodor.gatebolt.com/blog/secret-leak-test"/>
<id>https://hodor.gatebolt.com/blog/secret-leak-test</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>hodor.gatebolt.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Test of GateBolt prompt injection filter against AI attackers trying to steal a password.</summary>
</entry>
<entry>
<title>Lighthouse 13.6: how we made PageSpeed Insights more accurate for Framer sites</title>
<link href="https://www.framer.com/blog/lighthouse-13-6/"/>
<id>https://www.framer.com/blog/lighthouse-13-6/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>framer.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Framer engineering breakdown of Lighthouse 13.6 changes fixing scoring of preloaded code.</summary>
</entry>
<entry>
<title>pico-WAM—Counterfactual Prediction and Planning Error</title>
<link href="https://www.keivalya.com/pico-wam/"/>
<id>https://www.keivalya.com/pico-wam/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>keivalya.com</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Presents pico-WAM, a compact world action model, evaluating counterfactual prediction and planning.</summary>
</entry>
<entry>
<title>I Spent $1000 Making LLMs Play Competitive Pokémon</title>
<link href="https://blog.doubleword.ai/llms-play-pokemon"/>
<id>https://blog.doubleword.ai/llms-play-pokemon</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>blog.doubleword.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiment spending $1000 on LLMs playing competitive Pokemon against each other.</summary>
</entry>
<entry>
<title>594,101 knocks: who reads my site, and what AI crawlers can't see</title>
<link href="https://www.shuffle-on.com/blog/ai-crawlers-read-my-site"/>
<id>https://www.shuffle-on.com/blog/ai-crawlers-read-my-site</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>shuffle-on.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Log analysis of OpenAI crawler hitting an SSO login page 594,101 times.</summary>
</entry>
<entry>
<title>The Day a Test Deleted My Home Directory</title>
<link href="https://lucianolupo.com/notes/The%20Day%20a%20Test%20Deleted%20My%20Home%20Directory"/>
<id>https://lucianolupo.com/notes/The%20Day%20a%20Test%20Deleted%20My%20Home%20Directory</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>lucianolupo.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Postmortem of a coding agent mutation test that deleted a home directory.</summary>
</entry>
<entry>
<title>Turning the HEIC decoder into a SHA-256 computer</title>
<link href="https://www.irisc2.com/blog/heic-hashquine"/>
<id>https://www.irisc2.com/blog/heic-hashquine</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>irisc2.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Technical demonstration turning a HEIC decoder into a SHA-256 computer via a crafted image sequence.</summary>
</entry>
<entry>
<title>Using decision models to speed up design rule violation repair in chip design</title>
<link href="https://engineering.flexcompute.com/articles/decision-models-drc-repair/"/>
<id>https://engineering.flexcompute.com/articles/decision-models-drc-repair/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>engineering.flexcompute.com</name></author>
<category term="engineering-env" label="Engineering &amp; environment"/>
<summary>Uses decision models to speed up design rule violation repair in chip design.</summary>
</entry>
<entry>
<title>Harness 2: executing agent code as it streams</title>
<link href="https://www.framer.com/blog/harness-2/"/>
<id>https://www.framer.com/blog/harness-2/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>framer.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Framer introduces Harness 2, executing JavaScript as it streams to improve agent efficiency and reduce costs.</summary>
</entry>
<entry>
<title>METR: Independent Assessment of AI R&amp;D Acceleration at Anthropic in October 2026</title>
<link href="https://www.lesswrong.com/posts/N5AmYkRks5CqAxvBg/metr-independent-assessment-of-ai-r-and-d-acceleration-at"/>
<id>https://www.lesswrong.com/posts/N5AmYkRks5CqAxvBg/metr-independent-assessment-of-ai-r-and-d-acceleration-at</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>METR report finds Anthropic's AI R&amp;D acceleration doubled by October 2026 due to AI automation.</summary>
</entry>
<entry>
<title>Programming in the Machine Code Space: LLMs can read &amp; write executables byte by byte</title>
<link href="https://sgiannopoulos.github.io/blog/machine-code-programming/"/>
<id>https://sgiannopoulos.github.io/blog/machine-code-programming/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>sgiannopoulos.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Research shows LLMs can read and write machine code directly without disassemblers.</summary>
</entry>
<entry>
<title>Can LLMs redesign themselves as they train?</title>
<link href="https://www.doubleai.com/research/can-llms-redesign-themselves-as-they-train"/>
<id>https://www.doubleai.com/research/can-llms-redesign-themselves-as-they-train</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>doubleai.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>DoubleAI research enables AI agents to redesign neural network architectures during training.</summary>
</entry>
<entry>
<title>VFlash: Enabling System-1 VLMs for Physical AI</title>
<link href="https://research.nvidia.com/labs/lpr/vflash/"/>
<id>https://research.nvidia.com/labs/lpr/vflash/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>research.nvidia.com</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>NVIDIA proposes VFlash, accelerating Physical AI inference via parallel visual planning.</summary>
</entry>
<entry>
<title>The components of agent memory</title>
<link href="https://www.anthropic.com/research/components-of-agent-memory"/>
<id>https://www.anthropic.com/research/components-of-agent-memory</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Anthropic research shows how Claude organizes memory and corrects errors via a 'dreaming' mechanism.</summary>
</entry>
<entry>
<title>DeepFinance: Can AI diligence a $100MM deal?</title>
<link href="https://www.juliusresearch.ai/blog/deep-finance"/>
<id>https://www.juliusresearch.ai/blog/deep-finance</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>juliusresearch.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>DeepFinance is a benchmark and leaderboard measuring AI performance on real-world private equity and investment banking workflows.</summary>
</entry>
<entry>
<title>Computer-Use Agents Are Embodied Generalists</title>
<link href="https://pranjal2041.github.io/cua-embodied/"/>
<id>https://pranjal2041.github.io/cua-embodied/</id>
<updated>2026-11-06T00:00:00Z</updated>
<author><name>pranjal2041.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Research shows a single computer-use agent ranking first, second, third, and sixth across four embodied AI competitions.</summary>
</entry>
<entry>
<title>The Language Server Tax: More Cost Without Better C/C++ Code Repair. ByteAsk</title>
<link href="https://byteask.ai/research/lsp-claude-code-cpp"/>
<id>https://byteask.ai/research/lsp-claude-code-cpp</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>byteask.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tests how the clangd LSP plugin affects Claude Code's ability to resolve issues.</summary>
</entry>
<entry>
<title>StateBench: Testing how language models track state changes over long documents</title>
<link href="https://huggingface.co/blog/allenai/statebench"/>
<id>https://huggingface.co/blog/allenai/statebench</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>huggingface.co</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes StateBench, a benchmark of how language models track state changes in long documents.</summary>
</entry>
<entry>
<title>Kimi K3.1 Pro writes fake OpenAI ciphertext</title>
<link href="https://www.peterstran.com/projects/kimi-fernet/"/>
<id>https://www.peterstran.com/projects/kimi-fernet/</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>peterstran.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Documents Kimi K3.1 Pro outputting fake OpenAI ciphertext.</summary>
</entry>
<entry>
<title>Larger Tokenizers Suffer More Multi-Epoch Regret</title>
<link href="https://wenhaochai.com/blogs/vocab-multi-epoch.html"/>
<id>https://wenhaochai.com/blogs/vocab-multi-epoch.html</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>wenhaochai.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiments show that larger tokenizers incur higher regret in multi-epoch training.</summary>
</entry>
<entry>
<title>On the Limits of Test-Time Compute for Self-Evaluation</title>
<link href="https://anirudhb11.github.io/blog/scorpio/"/>
<id>https://anirudhb11.github.io/blog/scorpio/</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>anirudhb11.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Analyzes the limits of using test-time compute for self-evaluation.</summary>
</entry>
<entry>
<title>Hiding a Rule Inside Another Model's Weights</title>
<link href="https://jonneslin.github.io/weight-space-trigger-en.html"/>
<id>https://jonneslin.github.io/weight-space-trigger-en.html</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>jonneslin.github.io</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Manually edits about 0.1% of Qwen3.5-0.8B's weights to implant a rule.</summary>
</entry>
<entry>
<title>Why the search for particle dark matter is really hopeless, part 2</title>
<link href="https://tritonstation.com/2026/11/05/why-the-search-for-particle-dark-matter-is-really-hopeless-part-2/"/>
<id>https://tritonstation.com/2026/11/05/why-the-search-for-particle-dark-matter-is-really-hopeless-part-2/</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>tritonstation.com</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Argues that the search for particle dark matter is nearly hopeless given MOND phenomena (part 2).</summary>
</entry>
<entry>
<title>The test that deleted my home folder</title>
<link href="https://www.shuffle-on.com/blog/the-test-that-deleted-my-home-folder"/>
<id>https://www.shuffle-on.com/blog/the-test-that-deleted-my-home-folder</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>shuffle-on.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Postmortem of an AI coding assistant test that deleted a home folder while demonstrating a path-traversal bug.</summary>
</entry>
<entry>
<title>Forget about credit assignment in long-horizon agentic post-training</title>
<link href="https://qiyaoliang.com/blog/es-vs-pg-long-horizon/"/>
<id>https://qiyaoliang.com/blog/es-vs-pg-long-horizon/</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>qiyaoliang.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Argues credit assignment is unnecessary in agentic post-training, comparing evolution strategies with policy gradient.</summary>
</entry>
<entry>
<title>The Exploit Was the Bottleneck</title>
<link href="https://www.a16z.news/p/the-exploit-was-the-bottleneck"/>
<id>https://www.a16z.news/p/the-exploit-was-the-bottleneck</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>a16z.news</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Data analysis of 23 years of vulnerability data on AI and the patch gap.</summary>
</entry>
<entry>
<title>Rethinking Abstractions in the Agentic Era: Towards a DSL and Compiler Foundation for Agentic Kernel Development</title>
<link href="https://tvm.apache.org/2026/11/03/rethinking-abstractions-in-the-agentic-era"/>
<id>https://tvm.apache.org/2026/11/03/rethinking-abstractions-in-the-agentic-era</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>tvm.apache.org</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>TVM community report on using coding agents to build DSL and compiler foundations.</summary>
</entry>
<entry>
<title>GPT-Live vs GPT-Realtime: Voice AI Trade-offs</title>
<link href="https://agentunicorn.ai/research/gpt-live-voice-ai-tradeoffs"/>
<id>https://agentunicorn.ai/research/gpt-live-voice-ai-tradeoffs</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>agentunicorn.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Comparison of GPT-Live, GPT-Realtime and streaming voice pipelines on delegation, guardrails and reliability.</summary>
</entry>
<entry>
<title>AgentSight: System-wide AI agent profiling and monitoring with eBPF</title>
<link href="https://eunomia.dev/agentsight/"/>
<id>https://eunomia.dev/agentsight/</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>eunomia.dev</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Presents AgentSight, an eBPF-based system-wide profiling and monitoring tool for AI agents.</summary>
</entry>
<entry>
<title>VibeSys on Trainium: Agents Build and Tune Qwen3.8 Serving Engines on AWS Trainium2</title>
<link href="https://syfi.cs.washington.edu/blog/2026-11-04-vibesys-trainium/"/>
<id>https://syfi.cs.washington.edu/blog/2026-11-04-vibesys-trainium/</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>syfi.cs.washington.edu</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Evaluates agents building and tuning Qwen3.8 serving engines on AWS Trainium2.</summary>
</entry>
<entry>
<title>How to Train a Swarm</title>
<link href="https://www.gr.inc/blog/how-to-train-a-swarm"/>
<id>https://www.gr.inc/blog/how-to-train-a-swarm</id>
<updated>2026-11-05T00:00:00Z</updated>
<author><name>gr.inc</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Describes methods and results for training agent swarms.</summary>
</entry>
<entry>
<title>Declarative Dragging</title>
<link href="https://declarative-dragging.github.io/"/>
<id>https://declarative-dragging.github.io/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>declarative-dragging.github.io</name></author>
<category term="other" label="Other"/>
<summary>Proposes declarative dragging interaction; project page of a UIST 2026 best paper.</summary>
</entry>
<entry>
<title>The SBND collaboration releases first neutrino results</title>
<link href="https://news.fnal.gov/2026/10/the-sbnd-collaboration-releases-first-neutrino-results/"/>
<id>https://news.fnal.gov/2026/10/the-sbnd-collaboration-releases-first-neutrino-results/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>news.fnal.gov</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>The SBND collaboration releases its first neutrino interaction results.</summary>
</entry>
<entry>
<title>AbMaze: Evaluating frontier AI agents on protein fitness landscapes</title>
<link href="https://valenlabs.com/blog/abmaze"/>
<id>https://valenlabs.com/blog/abmaze</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>valenlabs.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes AbMaze, a benchmark of antibody fitness landscapes for evaluating agents.</summary>
</entry>
<entry>
<title>Investigating vault particles with Claude</title>
<link href="https://www.anthropic.com/research/investigating-vault-particles-with-claude"/>
<id>https://www.anthropic.com/research/investigating-vault-particles-with-claude</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Uses Claude to help resolve the first 3D structure of a prokaryotic vault particle.</summary>
</entry>
<entry>
<title>Advancing the Quality-Efficiency Frontier for Coding AI on Windows PCs - Microsoft Foundry on Windows Blog Coding AI on Windows: The Quality–Efficiency Frontier</title>
<link href="https://devblogs.microsoft.com/foundry-on-windows/coding-ai-on-windows-pcs-quality-efficiency/"/>
<id>https://devblogs.microsoft.com/foundry-on-windows/coding-ai-on-windows-pcs-quality-efficiency/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>devblogs.microsoft.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Uses low-bit quantization and speculative decoding to improve local coding AI efficiency on Windows.</summary>
</entry>
<entry>
<title>Serving GLM-5.3-Flash on one Trainium2 box with NKI layer megakernels</title>
<link href="https://runanywhere.ai/blog/glm-5-3-flash-trainium2-nki-megakernels"/>
<id>https://runanywhere.ai/blog/glm-5-3-flash-trainium2-nki-megakernels</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>runanywhere.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Serves GLM-5.3-Flash on a single Trainium2 machine and measures throughput.</summary>
</entry>
<entry>
<title>I Tried to Break Weight Programming</title>
<link href="https://flecart.github.io/posts/2026-11-03-i-tried-to-break-weight-programming/"/>
<id>https://flecart.github.io/posts/2026-11-03-i-tried-to-break-weight-programming/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>flecart.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Replicates weight programming experiments and analyzes their complexity limits.</summary>
</entry>
<entry>
<title>MCPhantom: AI Agents Installing Deprecated MCP Servers</title>
<link href="https://www.glow.io/blogs/mcphantom-ai-coding-agents-are-installing-vulnerable-deprecated-mcp-servers-from-training-data"/>
<id>https://www.glow.io/blogs/mcphantom-ai-coding-agents-are-installing-vulnerable-deprecated-mcp-servers-from-training-data</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>glow.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Reports that AI coding agents install deprecated MCP servers with known vulnerabilities.</summary>
</entry>
<entry>
<title>Can Advertising Fund Free AI? ChatGPT Ads Research</title>
<link href="https://ecommerceresearch.org/chatgpt-ads/"/>
<id>https://ecommerceresearch.org/chatgpt-ads/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>ecommerceresearch.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Working paper using evidence from ChatGPT ad rollout to study whether advertising can fund free AI.</summary>
</entry>
<entry>
<title>20 Percent of All ‘Ok’ Web Responses AI Gets Are Not Okay</title>
<link href="https://www.unite.ai/20-percent-of-all-ok-web-responses-ai-gets-are-not-okay/"/>
<id>https://www.unite.ai/20-percent-of-all-ok-web-responses-ai-gets-are-not-okay/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>unite.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Author experiments with AI-assisted scraping finding many HTTP OK responses are not truly valid.</summary>
</entry>
<entry>
<title>Regulation by AI: Replaying EPA’s Glyphosate Decisions</title>
<link href="https://reckoningscience.org/regulation-by-ai-replaying-epas-glyphosate-decisions/"/>
<id>https://reckoningscience.org/regulation-by-ai-replaying-epas-glyphosate-decisions/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>reckoningscience.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Experiment having five AI models replay 50 years of EPA glyphosate decisions, finding none more lenient.</summary>
</entry>
<entry>
<title>Making flawed benchmarks useful</title>
<link href="https://blatent.ai/blog/making-flawed-benchmarks-useful"/>
<id>https://blatent.ai/blog/making-flawed-benchmarks-useful</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>blatent.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluation of extraction accuracy that reveals benchmark flaws and shows how to use them.</summary>
</entry>
<entry>
<title>Jane Street Blog - A study of sequence weighting at scale</title>
<link href="https://blog.janestreet.com/a-study-of-sequence-weighting-at-scale/"/>
<id>https://blog.janestreet.com/a-study-of-sequence-weighting-at-scale/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>blog.janestreet.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Jane Street study of scaling laws for data weighting across language models.</summary>
</entry>
<entry>
<title>Weight-space programming a neural quantum state</title>
<link href="https://paulg.info/2026/11/04/quantum-weight-space/"/>
<id>https://paulg.info/2026/11/04/quantum-weight-space/</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>paulg.info</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Case study using Opus to diagnose and repair a neural quantum state via weight-space programming.</summary>
</entry>
<entry>
<title>Learnings from Auditing Public Evaluations</title>
<link href="https://www.primeintellect.ai/blog/auditing-public-evaluations"/>
<id>https://www.primeintellect.ai/blog/auditing-public-evaluations</id>
<updated>2026-11-04T00:00:00Z</updated>
<author><name>primeintellect.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Audit of public LLM evaluations finding broken graders and ambiguous tasks.</summary>
</entry>
<entry>
<title>Progress on provable inference for large language models</title>
<link href="https://www.anthropic.com/research/provable-inference"/>
<id>https://www.anthropic.com/research/provable-inference</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Anthropic reports progress on zkSNARKs for provable LLM inference.</summary>
</entry>
<entry>
<title>The shelf life of LLM findings</title>
<link href="https://zou-group.github.io/llm-claims-shelf-life/"/>
<id>https://zou-group.github.io/llm-claims-shelf-life/</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>zou-group.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Replicates 50 published LLM findings across 20 models.</summary>
</entry>
<entry>
<title>The Nordic token tax</title>
<link href="https://research.klang.ai/papers/the-nordic-token-tax"/>
<id>https://research.klang.ai/papers/the-nordic-token-tax</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>research.klang.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Measures the extra token cost that 12 frontier models charge for non-English prompts.</summary>
</entry>
<entry>
<title>LLM grounding tutorial: stop AI agents guessing prices</title>
<link href="https://blog.apify.com/llm-grounding-with-live-data/"/>
<id>https://blog.apify.com/llm-grounding-with-live-data/</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>blog.apify.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tests AI agent price hallucination and live-data grounding on 21 product pages.</summary>
</entry>
<entry>
<title>Krea 3 Technical Report</title>
<link href="https://www.krea.ai/blog/krea-3-technical-report"/>
<id>https://www.krea.ai/blog/krea-3-technical-report</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>krea.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Technical report for the Krea 3 image editing model.</summary>
</entry>
<entry>
<title>Rotary Position Encodings for Graphs</title>
<link href="https://idlemachines.co.uk/essays/rope-for-graphs"/>
<id>https://idlemachines.co.uk/essays/rope-for-graphs</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>idlemachines.co.uk</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes rotary position encodings for graphs.</summary>
</entry>
<entry>
<title>A Mathematical Framework for Transformer Circuits</title>
<link href="https://transformer-circuits.pub/2021/framework/index.html#summary-of-results"/>
<id>https://transformer-circuits.pub/2021/framework/index.html#summary-of-results</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>transformer-circuits.pub</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>A mathematical framework for transformer circuits, a foundational paper of mechanistic interpretability.</summary>
</entry>
<entry>
<title>Quantity vs quality in pottery is a lie</title>
<link href="https://www.lesswrong.com/posts/LrAqM4bGmAoA79rP3/quantity-vs-quality-in-pottery-is-a-lie"/>
<id>https://www.lesswrong.com/posts/LrAqM4bGmAoA79rP3/quantity-vs-quality-in-pottery-is-a-lie</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Traces the origin of the pottery quantity versus quality story and checks its facts.</summary>
</entry>
<entry>
<title>Autonomous Agents Need Mandatory Access Control</title>
<link href="https://www.legiscope.com/blog/autonomous-agents-mandatory-access-control.html"/>
<id>https://www.legiscope.com/blog/autonomous-agents-mandatory-access-control.html</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>legiscope.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Proposes a mandatory access control framework for autonomous agents, modeled on FreeBSD.</summary>
</entry>
<entry>
<title>The 3D Printed Database</title>
<link href="https://www.amplifypartners.com/blog-posts/the-3d-printed-database"/>
<id>https://www.amplifypartners.com/blog-posts/the-3d-printed-database</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>amplifypartners.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Explores automatically generating custom database systems from a domain ontology.</summary>
</entry>
<entry>
<title>“This Is Fine”: How Clean Rooms Train Agents to Close the Books on Fire</title>
<link href="https://archytas-ai.com/blog/this-is-fine"/>
<id>https://archytas-ai.com/blog/this-is-fine</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>archytas-ai.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Studies how RL environments lead agents to falsely report task completion.</summary>
</entry>
<entry>
<title>Same Model, Different Harness: CUGA, Hermes, and Deep Agents</title>
<link href="https://huggingface.co/blog/ibm-research/cuga-harness"/>
<id>https://huggingface.co/blog/ibm-research/cuga-harness</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>huggingface.co</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Compares three agent harnesses: CUGA, Hermes, and Deep Agents.</summary>
</entry>
<entry>
<title>The Hitchhiker’s Guide to Training on Compute Islands</title>
<link href="https://www.coreauto.com/hitchhikers-guide-to-training-on-compute-islands"/>
<id>https://www.coreauto.com/hitchhikers-guide-to-training-on-compute-islands</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>coreauto.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A position on fault-tolerant distributed training across data centers, with sparse MoE experiments.</summary>
</entry>
<entry>
<title>A Direct Construction of SZ Sequence Matrices</title>
<link href="https://andrew-helmer.github.io/sz-matrix-construction/"/>
<id>https://andrew-helmer.github.io/sz-matrix-construction/</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>andrew-helmer.github.io</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Gives a direct construction of SZ sequence matrices.</summary>
</entry>
<entry>
<title>1.26 Million Data Center Satellites? Orbit Says No</title>
<link href="https://blog.budget-engineer.com/space-data-centers-have-you-looked-up-lately"/>
<id>https://blog.budget-engineer.com/space-data-centers-have-you-looked-up-lately</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>blog.budget-engineer.com</name></author>
<category term="engineering-env" label="Engineering &amp; environment"/>
<summary>Analysis of whether 1.26 million proposed data center satellites are feasible given orbital crowding.</summary>
</entry>
<entry>
<title>Quadrillion-parameter transformers and how to train them</title>
<link href="https://qlabs.sh/research/parameters"/>
<id>https://qlabs.sh/research/parameters</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>qlabs.sh</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Presents a scaling law and extrapolates training recipes for quadrillion-parameter transformers.</summary>
</entry>
<entry>
<title>TIS-100 Bench: LLMs Push the Pareto Frontier in Programming Puzzle Games</title>
<link href="https://tis-100.wincon.dev/"/>
<id>https://tis-100.wincon.dev/</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>tis-100.wincon.dev</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Benchmark of 16 LLMs on TIS-100 puzzles finding 133 new Pareto frontier points.</summary>
</entry>
<entry>
<title>Eval-production behavior gaps in agent safety and the role of eval-awareness</title>
<link href="https://alignment.openai.com/eval-production-behavior-gap/"/>
<id>https://alignment.openai.com/eval-production-behavior-gap/</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>alignment.openai.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Compares agent behavior in safety evaluations versus production and studies eval-awareness.</summary>
</entry>
<entry>
<title>The Inference Stack Behind OCRia</title>
<link href="https://www.llamaindex.ai/blog/the-inference-stack-behind-ocria"/>
<id>https://www.llamaindex.ai/blog/the-inference-stack-behind-ocria</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>llamaindex.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes inference optimizations in the OCRia stack, including quantization and decoding speedups.</summary>
</entry>
<entry>
<title>StateBench: Testing how language models track state changes over long documents</title>
<link href="https://allenai.org/blog/statebench"/>
<id>https://allenai.org/blog/statebench</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>allenai.org</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces StateBench, evaluating how language models track state changes across long documents.</summary>
</entry>
<entry>
<title>ZHA: Zyphra Hierarchical Attention</title>
<link href="https://www.zyphra.com/our-work/zyphra-hierarchical-attention"/>
<id>https://www.zyphra.com/our-work/zyphra-hierarchical-attention</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>zyphra.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces ZHA, a hierarchical sparse attention method, with experiments.</summary>
</entry>
<entry>
<title>Formalizing PTX in Lean to Prove GPU Kernel Correctness</title>
<link href="https://sf-tensor.com/engineering/formalizing-ptx"/>
<id>https://sf-tensor.com/engineering/formalizing-ptx</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>sf-tensor.com</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Formalizes Nvidia PTX in Lean to prove GPU kernel correctness, with accompanying paper.</summary>
</entry>
<entry>
<title>Userland Linux scheduler in Rust-faster than time</title>
<link href="https://kapteko.com/userland-linux-scheduler-in-rust/"/>
<id>https://kapteko.com/userland-linux-scheduler-in-rust/</id>
<updated>2026-11-03T00:00:00Z</updated>
<author><name>kapteko.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes a userland Linux scheduler in Rust that makes CPU-bound programs run faster than wall time.</summary>
</entry>
<entry>
<title>Sparks of Weight-Space Programming: LLMs can natively read &amp; write neural network weights</title>
<link href="https://rikiyat.github.io/blog/weight-space-programming/"/>
<id>https://rikiyat.github.io/blog/weight-space-programming/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>rikiyat.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Finds that frontier LLMs can directly read and write neural network weights to improve Qwen.</summary>
</entry>
<entry>
<title>bf16 might be freezing your weight updates</title>
<link href="https://lacuna.tiptreesystems.com/paper/bf16-might-be-freezing-your-weight-updates/art_487b1ed949e745a6ae0c42815b8d3cba"/>
<id>https://lacuna.tiptreesystems.com/paper/bf16-might-be-freezing-your-weight-updates/art_487b1ed949e745a6ae0c42815b8d3cba</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>lacuna.tiptreesystems.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Analyzes how AdamW updates can be frozen with bf16 weights.</summary>
</entry>
<entry>
<title>GDPx: Measuring Frontier Model Capabilities Across the Most Valuable Domains</title>
<link href="https://newsletter.semianalysis.com/p/gdpx-measuring-frontier-model-capabilities"/>
<id>https://newsletter.semianalysis.com/p/gdpx-measuring-frontier-model-capabilities</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>newsletter.semianalysis.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes GDPx, a benchmark that evaluates frontier models across several high-value domains.</summary>
</entry>
<entry>
<title>Accelerating Attention for Ultra-Long Context</title>
<link href="https://prefrontal.ai/news/lsa/"/>
<id>https://prefrontal.ai/news/lsa/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>prefrontal.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes LSA, a hierarchical clustering attention, to speed up ultra-long context.</summary>
</entry>
<entry>
<title>Will AI compute stay tight?</title>
<link href="https://hxu296.github.io/ai-compute-landscape/"/>
<id>https://hxu296.github.io/ai-compute-landscape/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>hxu296.github.io</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Analyzes AI compute rents and commitments to judge whether neoclouds are a bubble.</summary>
</entry>
<entry>
<title>WeVisCut: The Whole Editing Room in One Agent</title>
<link href="https://tencent.github.io/WeVisCut"/>
<id>https://tencent.github.io/WeVisCut</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>tencent.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Project page for WeVisCut, which uses an agent to edit long videos.</summary>
</entry>
<entry>
<title>Making CUDA Checkpointing 15x Faster on a B300: A Worklog</title>
<link href="https://maknee.github.io/blog/2026/Cuda-Checkpointing/"/>
<id>https://maknee.github.io/blog/2026/Cuda-Checkpointing/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>maknee.github.io</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>A worklog on making CUDA checkpointing 15 times faster on a B300.</summary>
</entry>
<entry>
<title>ZeroBench</title>
<link href="https://zerobench.github.io/"/>
<id>https://zerobench.github.io/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>zerobench.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes ZeroBench, a visual benchmark that is extremely hard for multimodal large models.</summary>
</entry>
<entry>
<title>Tracking R&amp;D funding in the Global South: challenges and opportunities in India</title>
<link href="https://www.leidenmadtrics.nl/articles/tracking-r-d-funding-in-the-global-south-challenges-and-opportunities-in-india"/>
<id>https://www.leidenmadtrics.nl/articles/tracking-r-d-funding-in-the-global-south-challenges-and-opportunities-in-india</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>leidenmadtrics.nl</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Analyzes the challenges and opportunities of tracking R&amp;D funding in India.</summary>
</entry>
<entry>
<title>What does “verified memory safe” even mean?</title>
<link href="https://focs-lab.comp.nus.edu.sg/blog/memory-safety-audit/"/>
<id>https://focs-lab.comp.nus.edu.sg/blog/memory-safety-audit/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>focs-lab.comp.nus.edu.sg</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Independent audit of the memory-safety proofs by Anthropic and Theorem, assessing what verified memory safe means.</summary>
</entry>
<entry>
<title>Agentic Backdoors via Pretraining Poisoning</title>
<link href="https://pbb.sh/research/Agentic-Backdoor/"/>
<id>https://pbb.sh/research/Agentic-Backdoor/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>pbb.sh</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Shows that pretraining data poisoning can plant a remote-code-execution backdoor in agents.</summary>
</entry>
<entry>
<title>BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs</title>
<link href="https://blitzrank.ai/"/>
<id>https://blitzrank.ai/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>blitzrank.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Project page for BlitzRank, a tournament-graph method for query-efficient zero-shot LLM document ranking.</summary>
</entry>
<entry>
<title>Making a Magic The Gathering Eval</title>
<link href="https://folds.ink/posts/mtg-benchmark"/>
<id>https://folds.ink/posts/mtg-benchmark</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>folds.ink</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Builds a harness and benchmark for LLMs playing Magic The Gathering and reports results.</summary>
</entry>
<entry>
<title>Lessons From Red-teaming Auto-review, OpenAI's Blocking Monitor</title>
<link href="https://www.lesswrong.com/posts/dbStc8ZFESqfihwAd/lessons-from-red-teaming-auto-review-openai-s-blocking-1"/>
<id>https://www.lesswrong.com/posts/dbStc8ZFESqfihwAd/lessons-from-red-teaming-auto-review-openai-s-blocking-1</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Red-teaming report on OpenAI Auto-review blocking monitor with lessons learned.</summary>
</entry>
<entry>
<title>GPU-accelerated Weight Teleportation</title>
<link href="https://humansand.ai/blog/gpu-accelerated-weight-teleportation"/>
<id>https://humansand.ai/blog/gpu-accelerated-weight-teleportation</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>humansand.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes GPU compression with streamed decompression for lossless model weight updates in RL training.</summary>
</entry>
<entry>
<title>Shotwell-Bench: An annotation benchmark that accepts valid alternatives</title>
<link href="https://shotwell.ai/blog/shotwell-bench/"/>
<id>https://shotwell.ai/blog/shotwell-bench/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>shotwell.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces Shotwell-Bench, a dense video annotation benchmark that accepts valid alternative segmentations.</summary>
</entry>
<entry>
<title>From Words to Waypoints: Teaching a Small LLM to Plan for Robots</title>
<link href="https://www.daweisun.me/blog/stl-planning-rl/"/>
<id>https://www.daweisun.me/blog/stl-planning-rl/</id>
<updated>2026-11-02T00:00:00Z</updated>
<author><name>daweisun.me</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Experiments teaching a small LLM to produce waypoint plans for robots.</summary>
</entry>
<entry>
<title>Creating Preferred IUPAC names</title>
<link href="https://chem-bla-ics.linkedchemistry.info/2026/11/01/creating-preferred-iupac-names.html"/>
<id>https://chem-bla-ics.linkedchemistry.info/2026/11/01/creating-preferred-iupac-names.html</id>
<updated>2026-11-01T00:00:00Z</updated>
<author><name>chem-bla-ics.linkedchemistry.info</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Explores using language models to generate preferred IUPAC names.</summary>
</entry>
<entry>
<title>Morg2SMILES: Generative Recovery of SMILES Strings from Morgan Fingerprints</title>
<link href="https://jonswain.github.io/morg2smiles/"/>
<id>https://jonswain.github.io/morg2smiles/</id>
<updated>2026-11-01T00:00:00Z</updated>
<author><name>jonswain.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Discusses generative recovery of SMILES strings from Morgan fingerprints.</summary>
</entry>
<entry>
<title>Can an LLM and a keyword index replace embeddings?</title>
<link href="https://internals.laxmena.com/p/can-an-llm-and-a-keyword-index-replace"/>
<id>https://internals.laxmena.com/p/can-an-llm-and-a-keyword-index-replace</id>
<updated>2026-11-01T00:00:00Z</updated>
<author><name>internals.laxmena.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiment testing whether an LLM plus a keyword index can replace embeddings for semantic search, with measurements.</summary>
</entry>
<entry>
<title>The abandoned PR page</title>
<link href="https://aictrl.dev/blog/open-source-review-ai-era"/>
<id>https://aictrl.dev/blog/open-source-review-ai-era</id>
<updated>2026-11-01T00:00:00Z</updated>
<author><name>aictrl.dev</name></author>
<category term="engineering-env" label="Engineering &amp; environment"/>
<summary>Data analysis of pull request outcomes in two AI-native open-source projects, focusing on abandoned PRs.</summary>
</entry>
<entry>
<title>Leaking Muse's Charter, Meta's model spec</title>
<link href="https://www.lesswrong.com/posts/TJGPL5FAk9sCioPbE/leaking-muse-s-charter-meta-s-model-spec"/>
<id>https://www.lesswrong.com/posts/TJGPL5FAk9sCioPbE/leaking-muse-s-charter-meta-s-model-spec</id>
<updated>2026-11-01T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Reports extracting the content of Meta Muse Spark Open model Charter from its chain of thought.</summary>
</entry>
<entry>
<title>AI text watermarking and quality loss</title>
<link href="https://blog.keyvan.net/p/ai-text-watermarking-and-quality"/>
<id>https://blog.keyvan.net/p/ai-text-watermarking-and-quality</id>
<updated>2026-10-31T00:00:00Z</updated>
<author><name>blog.keyvan.net</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates how AI text watermarking affects text quality.</summary>
</entry>
<entry>
<title>A Specialised Haskell Processor on FPGA</title>
<link href="https://bathtub-01.github.io/technical/ouros-demo/"/>
<id>https://bathtub-01.github.io/technical/ouros-demo/</id>
<updated>2026-10-31T00:00:00Z</updated>
<author><name>bathtub-01.github.io</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Presents a specialised processor that runs Haskell on an FPGA.</summary>
</entry>
<entry>
<title>A Generalized Scaling Law for Monopiles in Sand: From Centrifuge Tests to an Interactive Predictor</title>
<link href="https://geo-huanwang.com/posts/2026/10/monopile-moment-rotation-predictor/"/>
<id>https://geo-huanwang.com/posts/2026/10/monopile-moment-rotation-predictor/</id>
<updated>2026-10-31T00:00:00Z</updated>
<author><name>geo-huanwang.com</name></author>
<category term="engineering-env" label="Engineering &amp; environment"/>
<summary>Proposes a general scaling law for monopiles in sand based on centrifuge tests, with an interactive prediction tool.</summary>
</entry>
<entry>
<title>Automated Subtle Emergent Misalignment Research</title>
<link href="https://alignment.anthropic.com/2026/automated-em-search/"/>
<id>https://alignment.anthropic.com/2026/automated-em-search/</id>
<updated>2026-10-31T00:00:00Z</updated>
<author><name>alignment.anthropic.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Alignment research on automating the study of subtle emergent misalignment.</summary>
</entry>
<entry>
<title>Measuring voice agents: turn-taking, tool calls and expressive speech</title>
<link href="https://soniqo.audio/blog/voice-agent-benchmarks"/>
<id>https://soniqo.audio/blog/voice-agent-benchmarks</id>
<updated>2026-10-31T00:00:00Z</updated>
<author><name>soniqo.audio</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports measurements of voice agents using TurnBench, SLURP and InstructTTSEval.</summary>
</entry>
<entry>
<title>A CVE triage pipeline that keeps asking, because day one tells you nothing</title>
<link href="https://34-118-125-101.sslip.io/log/rappaport/"/>
<id>https://34-118-125-101.sslip.io/log/rappaport/</id>
<updated>2026-10-31T00:00:00Z</updated>
<author><name>34-118-125-101.sslip.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Describes Rappaport, a CVE triage pipeline that keeps re-asking questions over time, with design details and lessons.</summary>
</entry>
<entry>
<title>Deterministic Factoring in Time $N^{o(1)}$</title>
<link href="https://hexagonmath.org/2610.00600v1"/>
<id>https://hexagonmath.org/2610.00600v1</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>hexagonmath.org</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Claims a deterministic integer factoring algorithm running in time N^o(1).</summary>
</entry>
<entry>
<title>Honeycomb-Surfels (Hexels)</title>
<link href="https://honeycomb-surfels.github.io/"/>
<id>https://honeycomb-surfels.github.io/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>honeycomb-surfels.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Project page for HoneyComb Surfels, an edge 3D rendering method.</summary>
</entry>
<entry>
<title>What is work for? Human wellbeing and the value of work in the AGI era</title>
<link href="https://institute.deepmind.com/essays/what-is-work-for-human-wellbeing-and-the-value-of-work-in-the-agi-era/"/>
<id>https://institute.deepmind.com/essays/what-is-work-for-human-wellbeing-and-the-value-of-work-in-the-agi-era/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>institute.deepmind.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>DeepMind studies work and wellbeing in the era of AGI.</summary>
</entry>
<entry>
<title>CDC Grant Disruption Methodology</title>
<link href="https://grantwitness.org/cdc/updates/methodology"/>
<id>https://grantwitness.org/cdc/updates/methodology</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>grantwitness.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Explains the sources and methods of the CDC grant disruption data.</summary>
</entry>
<entry>
<title>AGI Economics: Coordination vs. Competence</title>
<link href="https://institute.deepmind.com/essays/the-economics-of-intelligence/"/>
<id>https://institute.deepmind.com/essays/the-economics-of-intelligence/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>institute.deepmind.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>A DeepMind institute analysis of AGI economics, covering jagged agents and mosaic organizations.</summary>
</entry>
<entry>
<title>Building oversight tools into a model's weights</title>
<link href="https://divagr.com/blog/building-oversight-tools-into-a-models-weights"/>
<id>https://divagr.com/blog/building-oversight-tools-into-a-models-weights</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>divagr.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Describes building a lie detector and log into Qwen weights that the model cannot disable.</summary>
</entry>
<entry>
<title>An adventure in multifoundational Mathematics 2.0: the cycle double cover theorem in ZFC with Grace17</title>
<link href="https://grace17.org/docs/cycle-double-cover.html"/>
<id>https://grace17.org/docs/cycle-double-cover.html</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>grace17.org</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Reports a formal proof of the cycle double cover theorem in ZFC using Grace17.</summary>
</entry>
<entry>
<title>Reverse Turing Test: Surprising Proof AIs Fail to Spot AIs</title>
<link href="https://www.progressiverobot.com/2026/10/27/reverse-turing-test-ais-fail-to-detect-ais/"/>
<id>https://www.progressiverobot.com/2026/10/27/reverse-turing-test-ais-fail-to-detect-ais/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>progressiverobot.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports a reverse Turing test where seven AI judges caught only 3 of 98 AI impostors.</summary>
</entry>
<entry>
<title>What agents see when they search MCP tools</title>
<link href="https://www.babush.me/how-agents-search-mcp-tools.html"/>
<id>https://www.babush.me/how-agents-search-mcp-tools.html</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>babush.me</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Analyzes how agents search MCP tools and why the search misses relevant decompiler functions.</summary>
</entry>
<entry>
<title>Product Hunt is swamped now</title>
<link href="https://www.mahl.me/blog/product-hunt-is-swamped-now/"/>
<id>https://www.mahl.me/blog/product-hunt-is-swamped-now/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>mahl.me</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>A small scrape quantifies how Product Hunt launch volume changed after 2023.</summary>
</entry>
<entry>
<title>Understanding Open-ended Work from a Data Perspective</title>
<link href="https://www.fig.inc/blog/understanding-open-ended-work-from-a-data-perspective/"/>
<id>https://www.fig.inc/blog/understanding-open-ended-work-from-a-data-perspective/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>fig.inc</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Fig describes learning signals missing in data on open-ended computer-use work.</summary>
</entry>
<entry>
<title>Solving the JSON Schema dialect fragmentation problem with auto-upgrades</title>
<link href="https://www.sourcemeta.com/blog/json-schema-dialect-auto-upgrade/"/>
<id>https://www.sourcemeta.com/blog/json-schema-dialect-auto-upgrade/</id>
<updated>2026-10-30T00:00:00Z</updated>
<author><name>sourcemeta.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes an approach to auto-upgrade JSON Schema dialects to solve fragmentation.</summary>
</entry>
<entry>
<title>Grace Blackwell needs a new scheduler: 27% more usable GPUs from the same racks</title>
<link href="https://skypilot.ai/blog/grace-blackwell-needs-a-new-scheduler"/>
<id>https://skypilot.ai/blog/grace-blackwell-needs-a-new-scheduler</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>skypilot.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>A Grace Blackwell scheduler yields 27% more usable GPUs.</summary>
</entry>
<entry>
<title>Open-weight AI models can exploit the patch gap</title>
<link href="https://epoch.ai/publications/open-weight-models-patch-gap"/>
<id>https://epoch.ai/publications/open-weight-models-patch-gap</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>epoch.ai</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Evaluates how open-weight models can exploit the patch gap.</summary>
</entry>
<entry>
<title>N-gram hinted language modeling: NanoGPT Speedrun in 6.7s</title>
<link href="https://brunborg.com/n-gram-hinted-lm"/>
<id>https://brunborg.com/n-gram-hinted-lm</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>brunborg.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Uses n-gram hints to bring the NanoGPT Speedrun down to 6.7 seconds.</summary>
</entry>
<entry>
<title>Weaponizing Personalization: From Knowledge Graph to Extortion</title>
<link href="https://8rank.ai/game/apple-intelligence-knowledge-graph-in-the-wrong-hands"/>
<id>https://8rank.ai/game/apple-intelligence-knowledge-graph-in-the-wrong-hands</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>8rank.ai</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Research on using Apple's personal knowledge graph and an LLM to plan a kidnapping.</summary>
</entry>
<entry>
<title>Every iPhone has a fingerprint. Can one photo give you away?</title>
<link href="https://vhamolya.com/blog/which-iphone-took-this-photo/"/>
<id>https://vhamolya.com/blog/which-iphone-took-this-photo/</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>vhamolya.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Tests whether a single photo can identify an iPhone's camera fingerprint.</summary>
</entry>
<entry>
<title>Coding Agent Degradation: Cross-Vendor Field Notes and an Initial Analysis</title>
<link href="https://www.arcblock.io/en/articles/when-coding-agents-stop-finishing/"/>
<id>https://www.arcblock.io/en/articles/when-coding-agents-stop-finishing/</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>arcblock.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A field analysis of performance degradation in coding agents across vendors.</summary>
</entry>
<entry>
<title>AReA</title>
<link href="https://rajabi2001.github.io/area/"/>
<id>https://rajabi2001.github.io/area/</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>rajabi2001.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Project page for AReA, efficient attention for high-resolution diffusion transformers.</summary>
</entry>
<entry>
<title>Why AI Design Tools Keep Making the Same Flyer: Claude Design, Canva, Moda and Grafista Tested</title>
<link href="https://grafista.io/blog/posts/grafista-vs-claude-vs-canva-vs-moda"/>
<id>https://grafista.io/blog/posts/grafista-vs-claude-vs-canva-vs-moda</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>grafista.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Compares outputs of four AI design tools on identical flyer prompts, repeated three times.</summary>
</entry>
<entry>
<title>State of Harness—October 2026</title>
<link href="https://www.harness-hub.org/reports/2026-10"/>
<id>https://www.harness-hub.org/reports/2026-10</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>harness-hub.org</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A report defining the agent harness and surveying the market with directory counts.</summary>
</entry>
<entry>
<title>Serving Prefill and Decode for Agentic AI</title>
<link href="https://tenstorrent.com/en/developers/blog/serving-prefill-and-decode-for-agentic-ai"/>
<id>https://tenstorrent.com/en/developers/blog/serving-prefill-and-decode-for-agentic-ai</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>tenstorrent.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes serving prefill and decode for agentic AI workloads on Tenstorrent Blackhole hardware.</summary>
</entry>
<entry>
<title>31 AI Models Took a Political Quiz. Here Is Where Each One Landed</title>
<link href="https://politicaldna.org/ai-political-dna/"/>
<id>https://politicaldna.org/ai-political-dna/</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>politicaldna.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Gave a 32-statement political quiz to 31 LLMs over 1,017 runs and compared them with human respondents.</summary>
</entry>
<entry>
<title>Scaling Misuse Detection with Self-Assessment</title>
<link href="https://safeguards.anthropic.com/2026/self-assessment/"/>
<id>https://safeguards.anthropic.com/2026/self-assessment/</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>safeguards.anthropic.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Presents and evaluates a method where Claude self-assesses response safety to scale misuse detection.</summary>
</entry>
<entry>
<title>Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale</title>
<link href="https://engineering.fb.com/2026/10/29/security/catching-bugs-before-they-land-jittestings-human-on-the-loop-approach-at-full-scale/"/>
<id>https://engineering.fb.com/2026/10/29/security/catching-bugs-before-they-land-jittestings-human-on-the-loop-approach-at-full-scale/</id>
<updated>2026-10-29T00:00:00Z</updated>
<author><name>engineering.fb.com</name></author>
<category term="engineering-env" label="Engineering &amp; environment"/>
<summary>Meta engineering report on applying human-on-the-loop just-in-time testing with LLMs at full scale.</summary>
</entry>
<entry>
<title>Qwenputer: a fully functioning, deterministic RISC-V CPU inside Qwen3.5</title>
<link href="https://divagr.com/blog/qwenputer"/>
<id>https://divagr.com/blog/qwenputer</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>divagr.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Implements a deterministic RISC-V CPU inside Qwen3.5.</summary>
</entry>
<entry>
<title>The sleep framework: A new way for LLMs to retain knowledge in continual learning</title>
<link href="https://research.google/blog/the-sleep-framework-a-new-way-for-llms-to-retain-knowledge-in-continual-learning/"/>
<id>https://research.google/blog/the-sleep-framework-a-new-way-for-llms-to-retain-knowledge-in-continual-learning/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>research.google</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Google proposes a sleep framework for continual learning.</summary>
</entry>
<entry>
<title>From Tokens to Bytes I: Scaling Hierarchical Networks</title>
<link href="https://www.cartesia.ai/blog/from-tokens-to-bytes-part-1"/>
<id>https://www.cartesia.ai/blog/from-tokens-to-bytes-part-1</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>cartesia.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Cartesia's research on scaling hierarchical networks.</summary>
</entry>
<entry>
<title>Intelligence Benchmarking</title>
<link href="https://artificialanalysis.ai/methodology/intelligence-benchmarking"/>
<id>https://artificialanalysis.ai/methodology/intelligence-benchmarking</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>artificialanalysis.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Artificial Analysis Intelligence Index v5.0 benchmark.</summary>
</entry>
<entry>
<title>How AI agents shape experts’ judgment calls</title>
<link href="https://www.anthropic.com/research/agents-judgment-calls"/>
<id>https://www.anthropic.com/research/agents-judgment-calls</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Studies how analysts follow AI agent preferences in 86% of decisions.</summary>
</entry>
<entry>
<title>Of sheep and beer</title>
<link href="https://dlab.epfl.ch/2017-08-30-of-sheep-and-beer/"/>
<id>https://dlab.epfl.ch/2017-08-30-of-sheep-and-beer/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>dlab.epfl.ch</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>A study of how early ratings create herding effects in product reviews.</summary>
</entry>
<entry>
<title>Are you paying for useless LLM prompts?</title>
<link href="https://cameronmpalmer.com/blog/are-you-paying-for-useless-llm-prompts/"/>
<id>https://cameronmpalmer.com/blog/are-you-paying-for-useless-llm-prompts/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>cameronmpalmer.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>An experiment assessing whether redundant LLM prompts are actually effective.</summary>
</entry>
<entry>
<title>Can LLMs Supercharge Geolocations? Our Tests Show Big Improvements But Humans Remain Key</title>
<link href="https://www.bellingcat.com/resources/2026/10/22/can-llms-supercharge-geolocations-our-tests-show-big-improvements-but-humans-remain-key/"/>
<id>https://www.bellingcat.com/resources/2026/10/22/can-llms-supercharge-geolocations-our-tests-show-big-improvements-but-humans-remain-key/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>bellingcat.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Bellingcat evaluates how well LLMs perform at geolocation.</summary>
</entry>
<entry>
<title>Agent Scrum</title>
<link href="https://daveremy.github.io/agent-scrum/"/>
<id>https://daveremy.github.io/agent-scrum/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>daveremy.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>An agent sprint method for AI coding agents, with observations from 324 sprints.</summary>
</entry>
<entry>
<title>Recurrent Looped Transformer</title>
<link href="https://yifanzhang-pro.github.io/recurrent-looped-tranformer/"/>
<id>https://yifanzhang-pro.github.io/recurrent-looped-tranformer/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>yifanzhang-pro.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Project page on state tracking with the Recurrent Looped Transformer.</summary>
</entry>
<entry>
<title>MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives</title>
<link href="https://nvlabs.github.io/motionbricks/"/>
<id>https://nvlabs.github.io/motionbricks/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>nvlabs.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Project page for the MotionBricks real-time motion generation paper.</summary>
</entry>
<entry>
<title>Who is in charge? Robot autonomy levels for human-in-the-loop systems</title>
<link href="https://zlatanajanovic.com/robot-autonomy-levels/"/>
<id>https://zlatanajanovic.com/robot-autonomy-levels/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>zlatanajanovic.com</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Proposes a framework of robot autonomy levels for human-in-the-loop systems (book chapter).</summary>
</entry>
<entry>
<title>Building My Own Tiny AI Weather Model</title>
<link href="https://tcumulus.dev/blog/building-my-own-tiny-ai-weather-model/"/>
<id>https://tcumulus.dev/blog/building-my-own-tiny-ai-weather-model/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>tcumulus.dev</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Describes building a small AI weather model based on the GraphCast architecture.</summary>
</entry>
<entry>
<title>Benchmarking Coding Agents at Scale</title>
<link href="https://www.snowflake.com/en/blog/engineering/Benchmarking-coding-agents/"/>
<id>https://www.snowflake.com/en/blog/engineering/Benchmarking-coding-agents/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>snowflake.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces SnowPR, a benchmark built from real pull requests to evaluate coding agents on a large monorepo.</summary>
</entry>
<entry>
<title>Rethinking Search as Code Generation</title>
<link href="https://www.perplexity.ai/hub/blog/rethinking-search-as-code-generation"/>
<id>https://www.perplexity.ai/hub/blog/rethinking-search-as-code-generation</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>perplexity.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Perplexity describes recasting search as programmable primitives and code generation for agents.</summary>
</entry>
<entry>
<title>Training Reve 2.0 at scale</title>
<link href="https://app.reve.com/training-infra"/>
<id>https://app.reve.com/training-infra</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>app.reve.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A technical report on the infrastructure used to train Reve 2.0 multimodal models.</summary>
</entry>
<entry>
<title>Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents</title>
<link href="https://github.blog/news-insights/octoverse/octoverse-commits-pushes-reach-new-highs-in-2026-as-developers-build-with-agents/"/>
<id>https://github.blog/news-insights/octoverse/octoverse-commits-pushes-reach-new-highs-in-2026-as-developers-build-with-agents/</id>
<updated>2026-10-28T00:00:00Z</updated>
<author><name>github.blog</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>GitHub annual report presenting 2026 statistics on commits, developers and growth across industries.</summary>
</entry>
<entry>
<title>CFSG in Lean</title>
<link href="https://cfsg.axiommath.ai/"/>
<id>https://cfsg.axiommath.ai/</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>cfsg.axiommath.ai</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Formalizes the classification of finite simple groups in Lean and obtains a new theorem.</summary>
</entry>
<entry>
<title>Neuron Persona Library</title>
<link href="https://qwen-neurons-site.vercel.app/"/>
<id>https://qwen-neurons-site.vercel.app/</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>qwen-neurons-site.vercel.app</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Studies how flipping a single neuron triggers a persona in Qwen.</summary>
</entry>
<entry>
<title>A $2^{o(n)}$ Time Algorithm for 3-SAT</title>
<link href="https://hexagonmath.org/2610.00577v1"/>
<id>https://hexagonmath.org/2610.00577v1</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>hexagonmath.org</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Claims a deterministic algorithm for 3-SAT that would refute the ETH.</summary>
</entry>
<entry>
<title>40× fewer tokens: wrap Markdown in SQLite</title>
<link href="https://www.withnative.ai/research-and-posts/markdown-context-benchmark"/>
<id>https://www.withnative.ai/research-and-posts/markdown-context-benchmark</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>withnative.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Claims SQLite makes Markdown 40 times more token-efficient.</summary>
</entry>
<entry>
<title>A critical look at self-distillation for reasoning</title>
<link href="https://jasonkena.github.io/blog/posts/does_self_distillation_improve_reasoning/"/>
<id>https://jasonkena.github.io/blog/posts/does_self_distillation_improve_reasoning/</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>jasonkena.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A critical analysis of self-distillation for reasoning.</summary>
</entry>
<entry>
<title>SAS|Symbiotic Autoprotection System|κD = 0.56</title>
<link href="https://leesintheblindmonk1999.github.io/sas-landing/#hero"/>
<id>https://leesintheblindmonk1999.github.io/sas-landing/#hero</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>leesintheblindmonk1999.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A claimed deterministic AI structural audit framework with K_D=0.56.</summary>
</entry>
<entry>
<title>teaching a car to drive inside its own dream</title>
<link href="https://fpoltronieri.github.io/blog/2026/teaching-a-car-to-drive-inside-its-own-dream/"/>
<id>https://fpoltronieri.github.io/blog/2026/teaching-a-car-to-drive-inside-its-own-dream/</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>fpoltronieri.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Records experiments teaching autonomous driving to drive inside a latent world model.</summary>
</entry>
<entry>
<title>Same price, different reason. Probing AI pricing agents for collusion</title>
<link href="https://www.maxtaylor.me/articles/same-price-different-reason-probing-ai-pricing-agents-for-collusion"/>
<id>https://www.maxtaylor.me/articles/same-price-different-reason-probing-ai-pricing-agents-for-collusion</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>maxtaylor.me</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Tests whether linear probes can distinguish colluding AI pricing agents from innocent ones.</summary>
</entry>
<entry>
<title>Can Machines Follow One Voice Through a Crowded Room?</title>
<link href="https://www.kelvinjiang.com/2026/10/can-machines-follow-voice-through-crowded-room.html"/>
<id>https://www.kelvinjiang.com/2026/10/can-machines-follow-voice-through-crowded-room.html</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>kelvinjiang.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>An exploratory experiment on whether machines can follow one voice in a crowded room.</summary>
</entry>
<entry>
<title>From the bottom of my heart, I salute you</title>
<link href="https://janni.turunen.in/poisoned-open-weights/"/>
<id>https://janni.turunen.in/poisoned-open-weights/</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>janni.turunen.in</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Demonstrates three ways to poison open-weight models, including a few hundred poisoned samples.</summary>
</entry>
<entry>
<title>Human travel patterns reflect geographic boundaries rather than universal laws</title>
<link href="https://theprimary.com/science/2026-10-26/mobility-power-law-artifacts"/>
<id>https://theprimary.com/science/2026-10-26/mobility-power-law-artifacts</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>theprimary.com</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Reports that human travel patterns follow geographic containers rather than universal power laws.</summary>
</entry>
<entry>
<title>The Fertility of an Idea: tracing the discovery lineage of optogenetics</title>
<link href="https://www.amplifypartners.com/blog-posts/the-fertility-of-an-idea"/>
<id>https://www.amplifypartners.com/blog-posts/the-fertility-of-an-idea</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>amplifypartners.com</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Traces the discovery lineage of optogenetics through citation and historical analysis.</summary>
</entry>
<entry>
<title>Can AI draw San Francisco from memory?</title>
<link href="https://voygr.tech/blog/can-ai-draw-san-francisco-from-memory/"/>
<id>https://voygr.tech/blog/can-ai-draw-san-francisco-from-memory/</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>voygr.tech</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tests six AI chat models at reproducing San Francisco map data from memory.</summary>
</entry>
<entry>
<title>The Ability of Frontier Models to Control Robots is Rapidly Improving</title>
<link href="https://www.lesswrong.com/posts/ndS9Xn8Qx5PppHJ3Q/the-ability-of-frontier-models-to-control-robots-is-rapidly"/>
<id>https://www.lesswrong.com/posts/ndS9Xn8Qx5PppHJ3Q/the-ability-of-frontier-models-to-control-robots-is-rapidly</id>
<updated>2026-10-27T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Demonstrates that general-purpose multimodal models are rapidly improving at controlling robots.</summary>
</entry>
<entry>
<title>Concerning behavior from a popular open-weight AI model</title>
<link href="https://cohere.com/blog/concerning-behaviour-popular-open-weight-ai-model"/>
<id>https://cohere.com/blog/concerning-behaviour-popular-open-weight-ai-model</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>cohere.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Cohere discloses abnormal behavior in an open-weight model.</summary>
</entry>
<entry>
<title>MS-Human-700: Whole-body Human Musculoskeletal Modeling and Control</title>
<link href="https://lnsgroup.cc/research/MS-Human/"/>
<id>https://lnsgroup.cc/research/MS-Human/</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>lnsgroup.cc</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Project page for MS-Human-700, a whole-body human musculoskeletal model in MuJoCo.</summary>
</entry>
<entry>
<title>Why the search for particle dark matter is hopeless, part 1</title>
<link href="https://tritonstation.com/2026/10/26/why-the-search-for-particle-dark-matter-is-hopeless-part-1/"/>
<id>https://tritonstation.com/2026/10/26/why-the-search-for-particle-dark-matter-is-hopeless-part-1/</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>tritonstation.com</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Argues why the search for particle dark matter is hopeless (part 1).</summary>
</entry>
<entry>
<title>Research | Galatea: optimal transport for lunar place recognition</title>
<link href="https://www.lunarsim.org/research/"/>
<id>https://www.lunarsim.org/research/</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>lunarsim.org</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Presents Galatea, an optimal transport method merging global and local descriptors for lunar visual place recognition.</summary>
</entry>
<entry>
<title>The Half-Life of an Instruction</title>
<link href="https://digitaliziran.si/2026/10/26/the-half-life-of-an-instruction.html"/>
<id>https://digitaliziran.si/2026/10/26/the-half-life-of-an-instruction.html</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>digitaliziran.si</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports an experiment on how DeepSeek V4 Pro's instruction following changes with few-shot examples.</summary>
</entry>
<entry>
<title>AI agents have few qualms with log tampering</title>
<link href="https://www.manifold.security/blog/agent-log-tampering"/>
<id>https://www.manifold.security/blog/agent-log-tampering</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>manifold.security</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Reports tests showing most frontier AI agents comply with requests to tamper with their own logs.</summary>
</entry>
<entry>
<title>Joints, Camera, Action! Co-Generating 3D Motion and Video for Arbitrary Rigs</title>
<link href="https://research.nvidia.com/labs/par/projects/jca/"/>
<id>https://research.nvidia.com/labs/par/projects/jca/</id>
<updated>2026-10-26T00:00:00Z</updated>
<author><name>research.nvidia.com</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Presents Joints, Camera, Action, a model that jointly generates video and 3D motion for arbitrary rigs.</summary>
</entry>
<entry>
<title>Qwen, Minus the E</title>
<link href="https://kevin-wu.ca/blog/qwn/"/>
<id>https://kevin-wu.ca/blog/qwn/</id>
<updated>2026-10-25T00:00:00Z</updated>
<author><name>kevin-wu.ca</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>An experiment fine-tuning Qwen on a 16GB GPU to avoid the letter e.</summary>
</entry>
<entry>
<title>Simulated Control Evaluations</title>
<link href="https://www.redwoodresearch.org/blog/simulated-control-evaluations"/>
<id>https://www.redwoodresearch.org/blog/simulated-control-evaluations</id>
<updated>2026-10-25T00:00:00Z</updated>
<author><name>redwoodresearch.org</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Presents simulated control evaluations that red-team AI agent monitors using an LLM that fakes tool outputs.</summary>
</entry>
<entry>
<title>3D Gaussian Splatting for Real-Time Radiance Field Rendering</title>
<link href="https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/"/>
<id>https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/</id>
<updated>2026-10-25T00:00:00Z</updated>
<author><name>repo-sam.inria.fr</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Project page for the SIGGRAPH paper on 3D Gaussian Splatting for real-time radiance field rendering.</summary>
</entry>
<entry>
<title>Exploring Apple's On-Device Model: Core Advanced</title>
<link href="https://www.airealist.ai/p/exploring-apple-on-device-model"/>
<id>https://www.airealist.ai/p/exploring-apple-on-device-model</id>
<updated>2026-10-25T00:00:00Z</updated>
<author><name>airealist.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>An analysis of how Apple's 20B-parameter on-device model is stored in flash and activates few experts.</summary>
</entry>
<entry>
<title>Deleting RAG from our web agent made it 2.3x faster</title>
<link href="https://www.skyvern.com/blog/deleting-rag-from-our-web-agent-made-it-2-3x-faster/"/>
<id>https://www.skyvern.com/blog/deleting-rag-from-our-web-agent-made-it-2-3x-faster/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>skyvern.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports that Skyvern's rewrite ran 2.3 times faster on the Odysseys benchmark.</summary>
</entry>
<entry>
<title>Timestral Financial Forecasting: Time-Series Foundation Models</title>
<link href="https://philippdubach.com/posts/forecasting-financial-markets-with-timestral/"/>
<id>https://philippdubach.com/posts/forecasting-financial-markets-with-timestral/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>philippdubach.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Evaluation results of the Timestral model for forecasting financial markets.</summary>
</entry>
<entry>
<title>Compiling a Workflow into a 3B Model</title>
<link href="https://arpitbhayani.me/blogs/compiling-an-sop-into-a-3b-model/"/>
<id>https://arpitbhayani.me/blogs/compiling-an-sop-into-a-3b-model/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>arpitbhayani.me</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A fine-tuning experiment compiling an incident triage SOP into a 3B model.</summary>
</entry>
<entry>
<title>BeNice! Closing the Inference-Memory Gap of Looped Models with KV-Sharing–Sandy Research</title>
<link href="https://sandyresearch.github.io/benice/"/>
<id>https://sandyresearch.github.io/benice/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>sandyresearch.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Research on narrowing the inference-memory gap of looped models through KV-sharing.</summary>
</entry>
<entry>
<title>Solving a Giant Rubik's Cube with a Quadruped Robot</title>
<link href="https://leggedrobotics.github.io/rubik-skills/"/>
<id>https://leggedrobotics.github.io/rubik-skills/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>leggedrobotics.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Project page on a quadruped robot that autonomously scans and solves a giant Rubik's cube.</summary>
</entry>
<entry>
<title>AI Reviews Might Beat Human Peer Reviews</title>
<link href="https://blog.stephenturner.us/p/ai-peer-reviews-beat-humans"/>
<id>https://blog.stephenturner.us/p/ai-peer-reviews-beat-humans</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>blog.stephenturner.us</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces a demonstration that AI reviews may be no worse than human peer reviews.</summary>
</entry>
<entry>
<title>Mundo: From seeing a place to simulating what happens there</title>
<link href="https://huggingface.co/blog/Luo-Yihang/mundo-world-model"/>
<id>https://huggingface.co/blog/Luo-Yihang/mundo-world-model</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>huggingface.co</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Presents Mundo, a world model that builds an interactive simulation of a room from a few photos.</summary>
</entry>
<entry>
<title>How well do job retraining programs work?</title>
<link href="https://www.anthropic.com/research/reviewing-the-evidence-on-worker-retraining-programs"/>
<id>https://www.anthropic.com/research/reviewing-the-evidence-on-worker-retraining-programs</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>An evidence review of worker retraining programs from Anthropic's Economic Research team.</summary>
</entry>
<entry>
<title>Crowley's Three Axes of JSON Querying</title>
<link href="https://nrposner.com/blog/crowleys-three-axes-of-json-querying/"/>
<id>https://nrposner.com/blog/crowleys-three-axes-of-json-querying/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>nrposner.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes design axes and benchmarks for a streaming JSON query engine exceeding 2 GB/s.</summary>
</entry>
<entry>
<title>ReplaySSM: Cache SSM Inputs, Not State</title>
<link href="https://tridao.me/blog/2026/replayssm/"/>
<id>https://tridao.me/blog/2026/replayssm/</id>
<updated>2026-10-24T00:00:00Z</updated>
<author><name>tridao.me</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes ReplaySSM, which caches SSM inputs instead of recurrent state to reduce decoding memory traffic.</summary>
</entry>
<entry>
<title>Air Purifiers as White Noise Machines</title>
<link href="https://www.jefftk.com/p/air-purifiers-as-white-noise-machines"/>
<id>https://www.jefftk.com/p/air-purifiers-as-white-noise-machines</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>jefftk.com</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Measures how well air purifiers work as white noise machines.</summary>
</entry>
<entry>
<title>An alignment assessment of the UK AISI cybertesting incident</title>
<link href="https://www.anthropic.com/research/alignment-assessment-ukaisi"/>
<id>https://www.anthropic.com/research/alignment-assessment-ukaisi</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Assesses Mythos 5's unauthorized actions during the UK AISI evaluation.</summary>
</entry>
<entry>
<title>A Fix for Softmax and Cross-Entropy</title>
<link href="https://jonbarron.info/softmaxfix/"/>
<id>https://jonbarron.info/softmaxfix/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>jonbarron.info</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes an improvement to softmax and cross-entropy.</summary>
</entry>
<entry>
<title>A good teacher meets the student where they are</title>
<link href="https://www.perplexity.ai/hub/blog/a-good-teacher-meets-the-student-where-they-are"/>
<id>https://www.perplexity.ai/hub/blog/a-good-teacher-meets-the-student-where-they-are</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>perplexity.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes JOLT, which jointly trains a teacher and a student.</summary>
</entry>
<entry>
<title>The Latest Anthropic Claude Models Contain AI Text Watermarks: What Does This Mean for You?</title>
<link href="https://www.oreilly.com/radar/the-latest-anthropic-claude-models-contain-ai-text-watermarks-what-does-this-mean-for-you/"/>
<id>https://www.oreilly.com/radar/the-latest-anthropic-claude-models-contain-ai-text-watermarks-what-does-this-mean-for-you/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>oreilly.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports that Claude model outputs contain AI text watermarks.</summary>
</entry>
<entry>
<title>MemCurrent: Designing Persistent Memory for Production Agents</title>
<link href="https://www.databricks.com/blog/memcurrent-designing-persistent-memory-production-agents"/>
<id>https://www.databricks.com/blog/memcurrent-designing-persistent-memory-production-agents</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>databricks.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces the MemCurrent persistent memory architecture and its effects.</summary>
</entry>
<entry>
<title>Hamiltonian Paths in Solid Grid Graphs</title>
<link href="https://zzyzek.github.io/SolidGridGraphHamPathPaper/"/>
<id>https://zzyzek.github.io/SolidGridGraphHamPathPaper/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>zzyzek.github.io</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Proves that Hamiltonian paths in solid grid graphs can be decided in polynomial time.</summary>
</entry>
<entry>
<title>Two Path Zig Zag Numberlink</title>
<link href="https://zzyzek.github.io/R2K2ZZNPaper/"/>
<id>https://zzyzek.github.io/R2K2ZZNPaper/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>zzyzek.github.io</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Gives a forbidden-pattern characterization of Numberlink and a polynomial-time algorithm.</summary>
</entry>
<entry>
<title>On Serial Depth and Monitorability in Looped Transformers, Part 1</title>
<link href="https://aopatric.github.io/blog/2026/recurrent-grokking/"/>
<id>https://aopatric.github.io/blog/2026/recurrent-grokking/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>aopatric.github.io</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Studies serial depth in looped transformers and the monitorability of chain of thought.</summary>
</entry>
<entry>
<title>EPA Grant Disruption Methodology</title>
<link href="https://grantwitness.org/epa/updates/methodology"/>
<id>https://grantwitness.org/epa/updates/methodology</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>grantwitness.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Explains the sources and methods of the EPA grant disruption data.</summary>
</entry>
<entry>
<title>Twitch Plays: AI Interpretability of Bonsai-8B</title>
<link href="https://www.lesswrong.com/posts/ozbbzsh49wvgfbCDp/twitch-plays-ai-interpretability-of-bonsai-8b"/>
<id>https://www.lesswrong.com/posts/ozbbzsh49wvgfbCDp/twitch-plays-ai-interpretability-of-bonsai-8b</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Live interpretability exploration of Bonsai-8B with a public interpretability map.</summary>
</entry>
<entry>
<title>MalwareBench: Reverse-engineering custom-built, realistic, evasive malware into actionable intelligence</title>
<link href="https://malwarebench.com"/>
<id>https://malwarebench.com</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>malwarebench.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Evaluates frontier models on reverse engineering evasive malware across platforms with a new benchmark.</summary>
</entry>
<entry>
<title>FrontierCS 2</title>
<link href="https://frontier-cs.org/?v=2"/>
<id>https://frontier-cs.org/?v=2</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>frontier-cs.org</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>A benchmark of 48 open-ended computer science R&amp;D tasks for evaluating AI agents.</summary>
</entry>
<entry>
<title>Finite Ring Cosmology Lab: Schrödinger—Dirac dynamics of the total state over the (13, 233) holographic substrate</title>
<link href="https://finitering.space/38-s13/lab.html"/>
<id>https://finitering.space/38-s13/lab.html</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>finitering.space</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Presents a browser simulation of Schrödinger-Dirac dynamics on a holographic substrate with a claimed universe model.</summary>
</entry>
<entry>
<title>A Robust Decentralized Infrastructure for Trust-Aware Open Knowledge Sharing</title>
<link href="https://knowledgepixels.com/nanopub-ecosystem-paper/"/>
<id>https://knowledgepixels.com/nanopub-ecosystem-paper/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>knowledgepixels.com</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Describes a decentralized, trust-aware infrastructure for open knowledge sharing.</summary>
</entry>
<entry>
<title>AI Article Reviews Dominate Human Peer Reviews at Their Best: Evidence and Policy Choices</title>
<link href="https://gking.harvard.edu/peerless/"/>
<id>https://gking.harvard.edu/peerless/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>gking.harvard.edu</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Presents evidence that AI-generated article reviews outperform human peer reviews on many measures, with policy implications.</summary>
</entry>
<entry>
<title>An LLM judge passed renders with defects I planted</title>
<link href="https://yamanahlawat.in/articles/llm-judge-same-code-different-scores"/>
<id>https://yamanahlawat.in/articles/llm-judge-same-code-different-scores</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>yamanahlawat.in</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiments show a vision-model judge passes renders with planted defects and is inconsistent across runs.</summary>
</entry>
<entry>
<title>Jakub Ćwirlej</title>
<link href="https://jakubcwirlej.com/ai-dev/"/>
<id>https://jakubcwirlej.com/ai-dev/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>jakubcwirlej.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Documents training a 160M code model on one GPU that reaches 22.56% on HumanEval.</summary>
</entry>
<entry>
<title>Bootstrapping the Verified Software Stack</title>
<link href="https://theorem.dev/blog/verified-software-stack/"/>
<id>https://theorem.dev/blog/verified-software-stack/</id>
<updated>2026-10-23T00:00:00Z</updated>
<author><name>theorem.dev</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Describes a research effort to build a shared formally verified software stack starting with nixpkgs.</summary>
</entry>
<entry>
<title>How does Fable 5.1 hide messages in images?</title>
<link href="https://www.lesswrong.com/posts/WHEQps5PK8LrrcTAb/how-does-fable-5-1-hide-messages-in-images"/>
<id>https://www.lesswrong.com/posts/WHEQps5PK8LrrcTAb/how-does-fable-5-1-hide-messages-in-images</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Studies how frontier LLMs hide information inside images.</summary>
</entry>
<entry>
<title>Rule 30: One Black Cell</title>
<link href="https://www.wolframcollatzmahler.com/rule30/index.html"/>
<id>https://www.wolframcollatzmahler.com/rule30/index.html</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>wolframcollatzmahler.com</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Explores the properties of Rule 30 growing from a single black cell.</summary>
</entry>
<entry>
<title>Opening Linear A</title>
<link href="https://www.plasma.ai/research/linear-a"/>
<id>https://www.plasma.ai/research/linear-a</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>plasma.ai</name></author>
<category term="other" label="Other"/>
<summary>Open-sources a Semitic decipherment of Linear A with corpus evidence.</summary>
</entry>
<entry>
<title>Does a text-to-speech model know what it’s saying?</title>
<link href="https://vernolabs.ai/research/does-a-text-to-speech-model-know-what-its-saying"/>
<id>https://vernolabs.ai/research/does-a-text-to-speech-model-know-what-its-saying</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>vernolabs.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tests whether a text-to-speech model understands what it says.</summary>
</entry>
<entry>
<title>Good Night, and Good Luck: AI, fear and what the job data says</title>
<link href="https://rpallas.xyz/good-night-and-good-luck/"/>
<id>https://rpallas.xyz/good-night-and-good-luck/</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>rpallas.xyz</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Uses data to analyze how AI affects software jobs.</summary>
</entry>
<entry>
<title>LoongForge-VLDA</title>
<link href="https://baidu-baige.github.io/LoongForge/projects/vlda.html"/>
<id>https://baidu-baige.github.io/LoongForge/projects/vlda.html</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>baidu-baige.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Proposes VLDA, which uses compact deltas as the interface for robot manipulation.</summary>
</entry>
<entry>
<title>Automated nightly LLM testing: an AI agent benchmarks new local models while I sleep</title>
<link href="https://siimtolk.github.io/articles/llm-testing-overnight/"/>
<id>https://siimtolk.github.io/articles/llm-testing-overnight/</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>siimtolk.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tests 18 local LLMs on two RTX 5060 Ti GPUs.</summary>
</entry>
<entry>
<title>Machines Read, Humans Sign: Code Review in One Year</title>
<link href="https://www.hugo.im/posts/code-review-in-one-year/"/>
<id>https://www.hugo.im/posts/code-review-in-one-year/</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>hugo.im</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Reports one year of data from an in-house code review agent.</summary>
</entry>
<entry>
<title>Elasticity of money in production networks, working capital, credit lines and financial conditions</title>
<link href="https://www.bis.org/publications/working-paper-1350-elasticity-money-production-networks-working-capital-credit-lines-and-financial-conditions"/>
<id>https://www.bis.org/publications/working-paper-1350-elasticity-money-production-networks-working-capital-credit-lines-and-financial-conditions</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>bis.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Research paper on money elasticity, credit lines and production networks.</summary>
</entry>
<entry>
<title>Solving a 31-year-old grand challenge in mathematics–the KLS conjecture</title>
<link href="https://www.microsoft.com/en-us/research/blog/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture/"/>
<id>https://www.microsoft.com/en-us/research/blog/solving-a-31-year-old-grand-challenge-in-mathematics-the-kls-conjecture/</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>microsoft.com</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Announces resolution of the KLS conjecture with AI assistance.</summary>
</entry>
<entry>
<title>China’s Next-Generation Industrial Policy</title>
<link href="https://rhg.com/research/chinas-next-generation-industrial-policy/"/>
<id>https://rhg.com/research/chinas-next-generation-industrial-policy/</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>rhg.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Report analyzing China's next-generation industrial policy.</summary>
</entry>
<entry>
<title>Mammoth-1 and Elephant-1: frontier decision models</title>
<link href="https://labs.baseten.co/articles/mammoth-1-and-elephant-1-frontier-decision-models"/>
<id>https://labs.baseten.co/articles/mammoth-1-and-elephant-1-frontier-decision-models</id>
<updated>2026-10-22T00:00:00Z</updated>
<author><name>labs.baseten.co</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Technical report on the Mammoth-1 and Elephant-1 decision models.</summary>
</entry>
<entry>
<title>Chinese AI Writes Weaker Code for Beijing’s Adversaries. We Fixed It. A Qwen3-Coder Case Study</title>
<link href="https://www.hirundo.io/blog/qwen3-coder-vulnerabilities"/>
<id>https://www.hirundo.io/blog/qwen3-coder-vulnerabilities</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>hirundo.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Finds that Qwen3-Coder generates less secure code when prompted with US-related personas.</summary>
</entry>
<entry>
<title>Reactive Optimizers</title>
<link href="https://xingjianbai.com/reactive-optimizers/"/>
<id>https://xingjianbai.com/reactive-optimizers/</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>xingjianbai.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes Reactive Optimizers, which let an agent rewrite the optimizer source code during training.</summary>
</entry>
<entry>
<title>GLM-5.3 Sometimes Considers How Train-Time Actions Shape Future Behavior</title>
<link href="https://www.lesswrong.com/posts/R5g8YT25G9DXJJ48n/glm-5-3-sometimes-considers-how-train-time-actions-shape"/>
<id>https://www.lesswrong.com/posts/R5g8YT25G9DXJJ48n/glm-5-3-sometimes-considers-how-train-time-actions-shape</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Finds that GLM-5.3 sometimes considers how its training-time actions shape future behavior.</summary>
</entry>
<entry>
<title>What Claude Code's multi-agent code review costs and finds|Quickchat AI</title>
<link href="https://quickchat.ai/post/claude-code-multi-agent-code-review"/>
<id>https://quickchat.ai/post/claude-code-multi-agent-code-review</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>quickchat.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates the cost of Claude Code's multi-agent code review and the issues it finds.</summary>
</entry>
<entry>
<title>Is 'migration choice' possible during the migration course? Understanding biographical migration projects</title>
<link href="https://fluchtforschung.net/is-migration-choice-possible-during-the-migration-course-understanding-biographical-migration-projects/"/>
<id>https://fluchtforschung.net/is-migration-choice-possible-during-the-migration-course-understanding-biographical-migration-projects/</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>fluchtforschung.net</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Distinguishes biographical migration projects from migration intentions and analyzes them.</summary>
</entry>
<entry>
<title>AI Agents in a Shared Workspace: Benchmark</title>
<link href="https://www.spacebar.ai/benchmark"/>
<id>https://www.spacebar.ai/benchmark</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>spacebar.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces SpacebarBench for evaluating agents in a shared workspace.</summary>
</entry>
<entry>
<title>Pantheon | Building the Most Diverse UMI Dataset in Robotics</title>
<link href="https://pantheon.inc/research/diverse-umi"/>
<id>https://pantheon.inc/research/diverse-umi</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>pantheon.inc</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Describes a diverse UMI robotics dataset collection operation.</summary>
</entry>
<entry>
<title>RFD4-Proteina</title>
<link href="https://rfd4-proteina.org/"/>
<id>https://rfd4-proteina.org/</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>rfd4-proteina.org</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Presents RFD4-Proteina, a latent reasoning model for biomolecular design.</summary>
</entry>
<entry>
<title>Deterministic Inference Did Not Make Our Pipeline Deterministic</title>
<link href="https://www.ctgt.ai/research/concordance"/>
<id>https://www.ctgt.ai/research/concordance</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>ctgt.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiment showing deterministic LLM inference did not make a pipeline deterministic.</summary>
</entry>
<entry>
<title>The Overfit</title>
<link href="https://blog.gopfert.eu/ai-macros-from-photos"/>
<id>https://blog.gopfert.eu/ai-macros-from-photos</id>
<updated>2026-10-21T00:00:00Z</updated>
<author><name>blog.gopfert.eu</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Weighs 32 meals to test how accurately AI estimates macros from photos.</summary>
</entry>
<entry>
<title>Benchmarking Bot Detection Systems Against Modern AI Agents in 2026</title>
<link href="https://research.poh.org/bot-benchmarking-2026/"/>
<id>https://research.poh.org/bot-benchmarking-2026/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>research.poh.org</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Re-benchmarks how well bot detection systems handle modern AI agents.</summary>
</entry>
<entry>
<title>How We Cold Start a 32B Model in 1.1s</title>
<link href="https://numerata.com/blog/post-gpu-cold-start-checkpoint-restore"/>
<id>https://numerata.com/blog/post-gpu-cold-start-checkpoint-restore</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>numerata.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes cold starting a 32B model in 1.1 seconds using GPU checkpoint/restore.</summary>
</entry>
<entry>
<title>Improving in chess is hard. I built the world's most human-like chess AI to help me.</title>
<link href="https://mbuffett.com/posts/chess-move-prediction"/>
<id>https://mbuffett.com/posts/chess-move-prediction</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>mbuffett.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces the author's chess AI, built to be the most human-like.</summary>
</entry>
<entry>
<title>Celestial Vision Navigation, or: How I Found Where an Elite Dangerous Screenshot from 2015 Was Taken, Using Computer Vision</title>
<link href="https://alphapixeldev.com/celestial-vision-navigation-elite-dangerous-dark-wheel-station/"/>
<id>https://alphapixeldev.com/celestial-vision-navigation-elite-dangerous-dark-wheel-station/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>alphapixeldev.com</name></author>
<category term="other" label="Other"/>
<summary>Uses star-based positioning to solve a mystery location in Elite: Dangerous.</summary>
</entry>
<entry>
<title>Reducing Reward Hacking by Localizing Bad Behavior Instead of Penalizing It</title>
<link href="https://alignment.anthropic.com/2026/graft/"/>
<id>https://alignment.anthropic.com/2026/graft/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>alignment.anthropic.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Proposes reducing reward hacking by localizing bad behavior rather than penalizing it.</summary>
</entry>
<entry>
<title>Blanking Beavers: Results and Open Problems</title>
<link href="https://nickdrozd.github.io/2026/10/20/blanking-beavers-results-and-open-problems.html"/>
<id>https://nickdrozd.github.io/2026/10/20/blanking-beavers-results-and-open-problems.html</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>nickdrozd.github.io</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Reports results and open problems for the Blanking Beavers Turing machine problem.</summary>
</entry>
<entry>
<title>How leaky is your inference API? Detecting model weight steganographic exfiltration</title>
<link href="https://weights-exfil.github.io/model-weights-exfiltration/"/>
<id>https://weights-exfil.github.io/model-weights-exfiltration/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>weights-exfil.github.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Shows a covert channel that steals model weights through token choices in LLM APIs.</summary>
</entry>
<entry>
<title>Robotic arm reaching task with reinforcement learning (PPO)</title>
<link href="https://ethan-jz.github.io//ppo-robot-reaching/"/>
<id>https://ethan-jz.github.io//ppo-robot-reaching/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>ethan-jz.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Deploys a robotic arm reaching task using PPO reinforcement learning.</summary>
</entry>
<entry>
<title>MARBLE: exact sequence parallelism for packed multimodal masks</title>
<link href="https://lumalabs.ai/news/packed-multimodal-attention"/>
<id>https://lumalabs.ai/news/packed-multimodal-attention</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>lumalabs.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Presents Marble, exact sequence parallelism for packed multimodal sequences, with results.</summary>
</entry>
<entry>
<title>Building a System One Model for Prompt Injection</title>
<link href="https://www.stackone.com/blog/system-one-model-prompt-injection/"/>
<id>https://www.stackone.com/blog/system-one-model-prompt-injection/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>stackone.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Describes rebuilding the Defender prompt injection guard with evaluation results.</summary>
</entry>
<entry>
<title>Fine-tuning a small language model for RAG in a browser on a Mac</title>
<link href="https://bart.degoe.de/fine-tuning-a-small-language-model-for-rag/"/>
<id>https://bart.degoe.de/fine-tuning-a-small-language-model-for-rag/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>bart.degoe.de</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Fine-tunes Qwen3-0.6B on a Mac for in-browser RAG and reports results.</summary>
</entry>
<entry>
<title>Jev models make agents faster. Hooked control planes steal the difference.</title>
<link href="https://pentad.ai/PLRN/031/"/>
<id>https://pentad.ai/PLRN/031/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>pentad.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Analyzes how hook chains absorb speedups from fast decision models.</summary>
</entry>
<entry>
<title>The free upgrade that raised your bill: what a new model version really costs</title>
<link href="https://three.dev/blog/the-free-upgrade-that-raised-your-bill"/>
<id>https://three.dev/blog/the-free-upgrade-that-raised-your-bill</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>three.dev</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Measures how new model versions change real API bills at equal list price.</summary>
</entry>
<entry>
<title>Beyond g-mean²: complementary metrics for monitorability</title>
<link href="https://alignment.openai.com/beyond-gmean-squared/"/>
<id>https://alignment.openai.com/beyond-gmean-squared/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>alignment.openai.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Introduces two complementary monitorability metrics beyond g-mean².</summary>
</entry>
<entry>
<title>RELAGRAM</title>
<link href="https://nevolodia.com/thoughts/001/"/>
<id>https://nevolodia.com/thoughts/001/</id>
<updated>2026-10-20T00:00:00Z</updated>
<author><name>nevolodia.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Describes Relagram, latent recursion RL for vehicle routing.</summary>
</entry>
<entry>
<title>Hands Off: Detecting Model Weight Tampering</title>
<link href="https://stealthium.io/blog/hands-off-detecting-model-weight-tampering"/>
<id>https://stealthium.io/blog/hands-off-detecting-model-weight-tampering</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>stealthium.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Introduces the ROME attack that tampers with model weights in GPU memory, and ways to detect it.</summary>
</entry>
<entry>
<title>Towards Company World Models</title>
<link href="https://www.beaconholdings.com/research/towards-company-world-models"/>
<id>https://www.beaconholdings.com/research/towards-company-world-models</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>beaconholdings.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes company world models, where AI learns from shop owners' experience to support small business decisions.</summary>
</entry>
<entry>
<title>Can AI automate Epoch?</title>
<link href="https://epoch.ai/publications/can-ai-automate-epoch"/>
<id>https://epoch.ai/publications/can-ai-automate-epoch</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>epoch.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Epoch has six models do real work tasks to assess how far its work can be automated.</summary>
</entry>
<entry>
<title>Are You Sure You Want to Use MMAP in Your Database Management System? (CIDR 2022)</title>
<link href="https://db.cs.cmu.edu/mmap-cidr2022/"/>
<id>https://db.cs.cmu.edu/mmap-cidr2022/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>db.cs.cmu.edu</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>A paper page arguing that database management systems should not use mmap.</summary>
</entry>
<entry>
<title>How to Measure Intelligence Beyond Human Scale?</title>
<link href="https://www.lesswrong.com/posts/avtquSx2PkWsxXW6T/how-to-measure-intelligence-beyond-human-scale"/>
<id>https://www.lesswrong.com/posts/avtquSx2PkWsxXW6T/how-to-measure-intelligence-beyond-human-scale</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces, based on a paper, methods for measuring intelligence beyond human scale.</summary>
</entry>
<entry>
<title>Is Python the favorite language of LLMs?</title>
<link href="https://www.zansara.dev/posts/2026-10-19-is-python-the-favorite-language-of-llms/"/>
<id>https://www.zansara.dev/posts/2026-10-19-is-python-the-favorite-language-of-llms/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>zansara.dev</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Examines whether LLMs prefer programming languages such as Python.</summary>
</entry>
<entry>
<title>What content categories are used in science blogs?</title>
<link href="https://blog.front-matter.de/posts/what-content-categories-are-used-in-science-blogs/"/>
<id>https://blog.front-matter.de/posts/what-content-categories-are-used-in-science-blogs/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>blog.front-matter.de</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Analyzes the content categories of Rogue Scholar science blogs and proposes a taxonomy.</summary>
</entry>
<entry>
<title>How much intelligence can you run locally? (October 2026)</title>
<link href="https://localai-brief.vercel.app/"/>
<id>https://localai-brief.vercel.app/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>localai-brief.vercel.app</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Research brief comparing locally runnable models with frontier models on benchmark indices.</summary>
</entry>
<entry>
<title>The Art of Swarming</title>
<link href="https://www.csis.org/analysis/art-swarming"/>
<id>https://www.csis.org/analysis/art-swarming</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>csis.org</name></author>
<category term="other" label="Other"/>
<summary>Policy report arguing drone swarms change mass on the battlefield.</summary>
</entry>
<entry>
<title>Efficient Extraction for Effectful E-graphs</title>
<link href="https://ztatlock.net/pubs/2026-oopsla-eggcc/"/>
<id>https://ztatlock.net/pubs/2026-oopsla-eggcc/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>ztatlock.net</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Presents Statewalk DP for fast effect-aware e-graph extraction without ILP.</summary>
</entry>
<entry>
<title>Evaluating Javo</title>
<link href="https://getjavo.com/research/sales-evaluation/"/>
<id>https://getjavo.com/research/sales-evaluation/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>getjavo.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates an AI sales agent on 100 websites and 14.8 million visitors.</summary>
</entry>
<entry>
<title>Lessons learned building Fronteira by Alcides Fonseca</title>
<link href="https://wiki.alcidesfonseca.com/blog/lessons-learned-building-fronteira/"/>
<id>https://wiki.alcidesfonseca.com/blog/lessons-learned-building-fronteira/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>wiki.alcidesfonseca.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Describes Fronteira, an MCP proxy using information-flow policies to block attacks.</summary>
</entry>
<entry>
<title>Running 10 million Codex CLIs on one server-LFI processes</title>
<link href="https://kapteko.com/running-10-million-codex-clis-on-one-server-lfi-processes/"/>
<id>https://kapteko.com/running-10-million-codex-clis-on-one-server-lfi-processes/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>kapteko.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Describes running millions of Codex CLI processes on one server.</summary>
</entry>
<entry>
<title>MemStrata: AI answers you can check, with sources.</title>
<link href="https://www.memstrata.dev/"/>
<id>https://www.memstrata.dev/</id>
<updated>2026-10-19T00:00:00Z</updated>
<author><name>memstrata.dev</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Shows LongMemEval scores shift depending on whether the judge can see the sources.</summary>
</entry>
<entry>
<title>How RC2’s π table was made (PITABLE, RFC 2268)</title>
<link href="https://khalidhamadeh.com/writing/rc2-pi-table"/>
<id>https://khalidhamadeh.com/writing/rc2-pi-table</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>khalidhamadeh.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Studies how the RC2 cipher's pi table was generated and reproduces it with a Fisher-Yates shuffle.</summary>
</entry>
<entry>
<title>Neural networks are not already clean</title>
<link href="https://www.lesswrong.com/posts/Dkh7pXKjoNWkkxQDz/neural-networks-are-not-already-clean"/>
<id>https://www.lesswrong.com/posts/Dkh7pXKjoNWkkxQDz/neural-networks-are-not-already-clean</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Discusses what evidence is needed to show a neuron is explained, and rebuts the claim that neural networks are already clean.</summary>
</entry>
<entry>
<title>TIC 402710280: A TESS Exoplanet Candidate</title>
<link href="https://sixeleven.in/blog/tic402710280"/>
<id>https://sixeleven.in/blog/tic402710280</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>sixeleven.in</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Investigates a possible exoplanet using TESS transit data and Claude.</summary>
</entry>
<entry>
<title>NEEDLE — search engine benchmarks</title>
<link href="https://keenableai.github.io/needle/"/>
<id>https://keenableai.github.io/needle/</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>keenableai.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Releases Needle, an open-source real-time search engine benchmark for agents, with results.</summary>
</entry>
<entry>
<title>Una Watch TOTP - MFA on your wrist!</title>
<link href="https://shkspr.mobi/blog/2026/10/una-watch-totp-mfa-on-your-wrist/"/>
<id>https://shkspr.mobi/blog/2026/10/una-watch-totp-mfa-on-your-wrist/</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>shkspr.mobi</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Builds a TOTP two-factor authentication device for the wrist.</summary>
</entry>
<entry>
<title>Training and Deploying Production Cyber Monitors on Kimi K3</title>
<link href="https://www.goodfire.com/research/production-cyber-monitors-on-kimi-k3"/>
<id>https://www.goodfire.com/research/production-cyber-monitors-on-kimi-k3</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>goodfire.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Trains cybersecurity monitors for Kimi K3 that beat an LLM judge at lower cost.</summary>
</entry>
<entry>
<title>Can AI set the focal point of a photo?</title>
<link href="https://workflows-of-ai.com/blog/can-ai-set-the-focal-point-of-a-photo"/>
<id>https://workflows-of-ai.com/blog/can-ai-set-the-focal-point-of-a-photo</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>workflows-of-ai.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates 19 methods for cropping images using LLMs and classification models.</summary>
</entry>
<entry>
<title>A faster way to convert a timestamp ➜ Hour, Min, Sec</title>
<link href="https://www.benjoffe.com/fast-time-of-day"/>
<id>https://www.benjoffe.com/fast-time-of-day</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>benjoffe.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Presents a faster timestamp to hour-minute-second algorithm with benchmark results.</summary>
</entry>
<entry>
<title>Ghidra + CBMC = Assembly Model Checker</title>
<link href="https://www.philipzucker.com/asmc_cpp/"/>
<id>https://www.philipzucker.com/asmc_cpp/</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>philipzucker.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Connects Ghidra lifted assembly semantics to CBMC to build an assembly model checker.</summary>
</entry>
<entry>
<title>Beating Warcraft III’s insane AI with self-play reinforcement learning on one desktop</title>
<link href="https://warlock.ai/blog/warcraftsim-1/"/>
<id>https://warlock.ai/blog/warcraftsim-1/</id>
<updated>2026-10-18T00:00:00Z</updated>
<author><name>warlock.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Trains a self-play RL agent reaching 89% win rate against Warcraft III's built-in AI.</summary>
</entry>
<entry>
<title>How employment is changing at Anthropic</title>
<link href="https://www.anthropic.com/research/employment-at-anthropic"/>
<id>https://www.anthropic.com/research/employment-at-anthropic</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Anthropic analyzes how AI is changing employment inside the company.</summary>
</entry>
<entry>
<title>Basis | Ship your interpreter</title>
<link href="https://www.basis.ai/blog/ship-your-interpreters/"/>
<id>https://www.basis.ai/blog/ship-your-interpreters/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>basis.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Shows how to use an LLM to write rules for a programming language and prove that an interpreter conforms to them.</summary>
</entry>
<entry>
<title>Does code quality still matter when AI writes the code?</title>
<link href="https://docspring.com/blog/posts/does-code-quality-still-matter-when-ai-writes-the-code/"/>
<id>https://docspring.com/blog/posts/does-code-quality-still-matter-when-ai-writes-the-code/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>docspring.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Replays mistakes in agent-assisted development and asks whether code quality still matters in the AI era.</summary>
</entry>
<entry>
<title>Proactive AI for Superintelligent Agents</title>
<link href="https://research.google/pubs/proactive-ai-for-superintelligent-agents/"/>
<id>https://research.google/pubs/proactive-ai-for-superintelligent-agents/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>research.google</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Google Research proposes a proactive AI approach for superintelligent agents.</summary>
</entry>
<entry>
<title>Why gradient clipping changes Muon’s geometry: a two-dimensional example</title>
<link href="https://bishnubhusal.com.np/blog/2026/clipping-geometry-private-muon/"/>
<id>https://bishnubhusal.com.np/blog/2026/clipping-geometry-private-muon/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>bishnubhusal.com.np</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Uses a two-dimensional example to show how gradient clipping changes Muon's geometry.</summary>
</entry>
<entry>
<title>When Security Rules Keep Changing Their Minds</title>
<link href="https://elena6918.github.io/blog/2026/rules/"/>
<id>https://elena6918.github.io/blog/2026/rules/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>elena6918.github.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Studies version flip-flopping in LLM-written security detection rules across iterations.</summary>
</entry>
<entry>
<title>Peer reviewed articles about biological processes in WikiPathways</title>
<link href="https://chem-bla-ics.linkedchemistry.info/2026/10/17/peer-reviewed-articles-about-biological-processes.html"/>
<id>https://chem-bla-ics.linkedchemistry.info/2026/10/17/peer-reviewed-articles-about-biological-processes.html</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>chem-bla-ics.linkedchemistry.info</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Surveys peer-reviewed articles about biological processes in WikiPathways.</summary>
</entry>
<entry>
<title>Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle</title>
<link href="https://research.google/pubs/open-and-emergent-problems-in-agentic-privacy-and-security-a-contextual-angle/"/>
<id>https://research.google/pubs/open-and-emergent-problems-in-agentic-privacy-and-security-a-contextual-angle/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>research.google</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Technical report outlining open problems in agentic privacy and security.</summary>
</entry>
<entry>
<title>Building a Chess Cheat Detector</title>
<link href="https://chesscheatdetector.com/blog/building-a-chess-cheat-detector"/>
<id>https://chesscheatdetector.com/blog/building-a-chess-cheat-detector</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>chesscheatdetector.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Builds a chess cheat detector from 6,613 simulated games with Maia.</summary>
</entry>
<entry>
<title>We shrank Whisper large-v3 by 68%, below the size of turbo</title>
<link href="https://tileward.com/research/a-smaller-speech-recogniser/"/>
<id>https://tileward.com/research/a-smaller-speech-recogniser/</id>
<updated>2026-10-17T00:00:00Z</updated>
<author><name>tileward.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports compressing Whisper large-v3 by 68% with accuracy results on ten tests.</summary>
</entry>
<entry>
<title>A benchmark map of the US economy</title>
<link href="https://www.mercor.com/research/labor-index/benchmark-map/"/>
<id>https://www.mercor.com/research/labor-index/benchmark-map/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>mercor.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Builds an AI benchmark map and analyzes how well benchmarks cover US economic work hours.</summary>
</entry>
<entry>
<title>Designing more efficient quantum circuits with Claude</title>
<link href="https://www.anthropic.com/research/designing-efficient-quantum-circuits"/>
<id>https://www.anthropic.com/research/designing-efficient-quantum-circuits</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Claude autonomously designs quantum circuits and improves on the best published versions.</summary>
</entry>
<entry>
<title>The AI expectations gap</title>
<link href="https://www.anthropic.com/research/ai-expectations-gap"/>
<id>https://www.anthropic.com/research/ai-expectations-gap</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Anthropic analyzes where divergent expectations about AI's economic impact come from.</summary>
</entry>
<entry>
<title>How pro-China are Chinese models?</title>
<link href="https://www.vals.ai/blogs/china-us-analysis"/>
<id>https://www.vals.ai/blogs/china-us-analysis</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>vals.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates how pro-China Chinese models are on political topics.</summary>
</entry>
<entry>
<title>Scaling pre-training on Melee</title>
<link href="https://ericyuegu.com/hillclimbing-melee/"/>
<id>https://ericyuegu.com/hillclimbing-melee/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>ericyuegu.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Scales pretraining of Melee game policies through action representations and offline RL.</summary>
</entry>
<entry>
<title>Do looped transformers write reasoning they don't use?</title>
<link href="https://igort99.github.io/posts/2026/10/05/looped-cot-faithfulness/"/>
<id>https://igort99.github.io/posts/2026/10/05/looped-cot-faithfulness/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>igort99.github.io</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Experiments test whether the looped transformer Huginn actually uses its reasoning.</summary>
</entry>
<entry>
<title>NSF Grant Disruption Methodology</title>
<link href="https://grantwitness.org/nsf/updates/methodology"/>
<id>https://grantwitness.org/nsf/updates/methodology</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>grantwitness.org</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Explains how NSF grant termination data is tracked.</summary>
</entry>
<entry>
<title>Models know when they’re reward hacking—and we can catch them at scale</title>
<link href="https://www.goodfire.com/research/reward-hacking-activation-monitors"/>
<id>https://www.goodfire.com/research/reward-hacking-activation-monitors</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>goodfire.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Finds an internal signal accompanying reward hacking and builds probes to detect it.</summary>
</entry>
<entry>
<title>This is not a game of snake</title>
<link href="https://blog.neels.tech/blog/this-is-not-a-game-of-snake/"/>
<id>https://blog.neels.tech/blog/this-is-not-a-game-of-snake/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>blog.neels.tech</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiment teaching a transformer model to play Snake and examining what it learns.</summary>
</entry>
<entry>
<title>Toward RL on mixed-precision, mixed-accelerator samplers</title>
<link href="https://modal.com/blog/toward-rl-on-mixed-precision-mixed-accelerator-samplers"/>
<id>https://modal.com/blog/toward-rl-on-mixed-precision-mixed-accelerator-samplers</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>modal.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports asynchronous RL training for agentic coding using mixed-precision, mixed-accelerator samplers.</summary>
</entry>
<entry>
<title>Bonsai Blog | Fully Managed Elasticsearch &amp; OpenSearch • The Pink Elephant in Your Prompt</title>
<link href="https://bonsai.io/blog/pink-elephant-in-your-prompt/"/>
<id>https://bonsai.io/blog/pink-elephant-in-your-prompt/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>bonsai.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports 720 trials testing whether telling an agent to ignore existing code works.</summary>
</entry>
<entry>
<title>Running DOOM Inside a Transformer</title>
<link href="https://nostalgia.dev/posts/running-doom-inside-a-transformer/"/>
<id>https://nostalgia.dev/posts/running-doom-inside-a-transformer/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>nostalgia.dev</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Builds a transformer that executes the DOOM game and describes the method.</summary>
</entry>
<entry>
<title>A Statistical Analysis of LLM Benchmaxxing</title>
<link href="https://llemre.com/benchmaxxing/"/>
<id>https://llemre.com/benchmaxxing/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>llemre.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Statistical estimate of benchmark overfitting by model lab.</summary>
</entry>
<entry>
<title>REKI: Registering Knowledge in VLAs</title>
<link href="https://kyutai.org/reki/"/>
<id>https://kyutai.org/reki/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>kyutai.org</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Presents REKI, a 2.4B vision-language-action model with memory, trained on public data.</summary>
</entry>
<entry>
<title>Benchmarking Open-Source LLMs on Verilog RTL Generation Across 50 Tasks (NMIMS, IIT Roorkee, BITS Pilani)</title>
<link href="https://semiengineering.com/benchmarking-open-source-llms-on-verilog-rtl-generation-across-50-tasks-nmims-iit-roorkee-bits-pilani/"/>
<id>https://semiengineering.com/benchmarking-open-source-llms-on-verilog-rtl-generation-across-50-tasks-nmims-iit-roorkee-bits-pilani/</id>
<updated>2026-10-16T00:00:00Z</updated>
<author><name>semiengineering.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>News summary of a paper benchmarking open-source LLMs on Verilog RTL generation.</summary>
</entry>
<entry>
<title>Neural Networks Are Already Clean</title>
<link href="https://already-clean.goodfire.com/"/>
<id>https://already-clean.goodfire.com/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>already-clean.goodfire.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Proposes a working hypothesis that neurons and circuits in neural networks are relatively clean.</summary>
</entry>
<entry>
<title>Jev Meets the Trolley Problem</title>
<link href="https://zachlandes.com/trolley-problem/"/>
<id>https://zachlandes.com/trolley-problem/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>zachlandes.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Poses the trolley problem to Jev and 13 decision models and compares the results.</summary>
</entry>
<entry>
<title>Exposing AdFection: How Discover-Tech Turned Targeted Ads Into a Pipeline for Zero-Click Mercenary Spyware</title>
<link href="https://citizenlab.ca/research/how-discover-tech-turned-targeted-ads-into-a-pipeline-for-spyware/"/>
<id>https://citizenlab.ca/research/how-discover-tech-turned-targeted-ads-into-a-pipeline-for-spyware/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>citizenlab.ca</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Citizen Lab discloses zero-click spyware delivered through targeted ads.</summary>
</entry>
<entry>
<title>Courk's Blog – Laser Fault Injection on a Budget: RP2350 Edition</title>
<link href="https://courk.cc/rp2350-challenge-laser"/>
<id>https://courk.cc/rp2350-challenge-laser</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>courk.cc</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Carries out low-cost laser fault injection on the RP2350.</summary>
</entry>
<entry>
<title>Reproducing the Hugging Face Incident, Part I</title>
<link href="https://www.abundant.ai/blog/hugging-face-incident-part-1/"/>
<id>https://www.abundant.ai/blog/hugging-face-incident-part-1/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>abundant.ai</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>A controlled reproduction of the package manager attack in the Hugging Face incident.</summary>
</entry>
<entry>
<title>How We Trained an AI Model to Play Browser Games Live</title>
<link href="https://ironbee.ai/blog/how-we-trained-an-ai-model-to-play-browser-games"/>
<id>https://ironbee.ai/blog/how-we-trained-an-ai-model-to-play-browser-games</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>ironbee.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Describes how a local model was trained to play browser games live, with results.</summary>
</entry>
<entry>
<title>What are the most important commands of a programming language?</title>
<link href="https://blog.ptidej.net/what-are-the-most-important-commands-of-a-programming-language/"/>
<id>https://blog.ptidej.net/what-are-the-most-important-commands-of-a-programming-language/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>blog.ptidej.net</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Analyzes the most important commands in AMOS BASIC programs to enable translation to JavaScript.</summary>
</entry>
<entry>
<title>Package managers have an integrity problem</title>
<link href="https://blog.trailofbits.com/2026/10/14/package-managers-have-an-integrity-problem/"/>
<id>https://blog.trailofbits.com/2026/10/14/package-managers-have-an-integrity-problem/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>blog.trailofbits.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Tests how well 25 package managers detect tampered repositories.</summary>
</entry>
<entry>
<title>Apertus 1.5</title>
<link href="https://apertus-ai.org/articles/2026-07-apertus-1-5/"/>
<id>https://apertus-ai.org/articles/2026-07-apertus-1-5/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>apertus-ai.org</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Technical report for Apertus 1.5 covering multimodality, reasoning, and long context.</summary>
</entry>
<entry>
<title>FLAT: Flash Linear Attention on TPUs</title>
<link href="https://trainstation-project.github.io/blog/flat/"/>
<id>https://trainstation-project.github.io/blog/flat/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>trainstation-project.github.io</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Implements kernels such as linear attention on TPUs using Pallas.</summary>
</entry>
<entry>
<title>Barista: Synthesizing Typestate Specifications with LLM Agents</title>
<link href="https://catarinagamboa.github.io/papers/barista/"/>
<id>https://catarinagamboa.github.io/papers/barista/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>catarinagamboa.github.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Barista: synthesizes typestate specifications with LLM agents (ASE 2026).</summary>
</entry>
<entry>
<title>ML Conference Trends: NeurIPS &amp;amp; ICLR, 2023–2026</title>
<link href="https://wenyaxie023.github.io/blog/2026/ml-conference-trends/"/>
<id>https://wenyaxie023.github.io/blog/2026/ml-conference-trends/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>wenyaxie023.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Counts topic trends in accepted NeurIPS and ICLR papers from 2023 to 2026.</summary>
</entry>
<entry>
<title>A Computational Swinging Lexical Network</title>
<link href="https://schiekiera.github.io/blog/2026/computational-swinging-lexical-network/"/>
<id>https://schiekiera.github.io/blog/2026/computational-swinging-lexical-network/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>schiekiera.github.io</name></author>
<category term="humanities" label="Humanities"/>
<summary>Implements a computational model of the Swinging Lexical Network for word production.</summary>
</entry>
<entry>
<title>T12 POSS Cages: D6h and D2d Dodecasilsesquioxane Isomers</title>
<link href="https://silsesquioxane.blogspot.com/2026/10/t12-dodecameric-silsesquioxanes.html"/>
<id>https://silsesquioxane.blogspot.com/2026/10/t12-dodecameric-silsesquioxanes.html</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>silsesquioxane.blogspot.com</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Discusses the D6h and D2d isomers of the T12 POSS cage.</summary>
</entry>
<entry>
<title>Gemma 3 1B at 114 tokens per second on a laptop CPU</title>
<link href="https://knl.co.in/posts/gemma-3-1b-ternary/"/>
<id>https://knl.co.in/posts/gemma-3-1b-ternary/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>knl.co.in</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Reports ternary conversion and custom kernels getting Gemma 3 1B to 114 tokens per second on a laptop CPU.</summary>
</entry>
<entry>
<title>Confidential AI ･ Encrypted KV Cache Offloading for Confidential Computing</title>
<link href="https://confidential.ai/blog/kv-offload-under-cc"/>
<id>https://confidential.ai/blog/kv-offload-under-cc</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>confidential.ai</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Presents encrypted KV cache offloading for confidential computing as a production implementation.</summary>
</entry>
<entry>
<title>ExplainThatMove</title>
<link href="https://www.explainthatmove.com/"/>
<id>https://www.explainthatmove.com/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>explainthatmove.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Compares chess moves and explains in natural language why the stronger one is better.</summary>
</entry>
<entry>
<title>Context Inertia: When Agents Won’t Let Go</title>
<link href="https://www.dbreunig.com/2026/10/14/context-inertia.html"/>
<id>https://www.dbreunig.com/2026/10/14/context-inertia.html</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>dbreunig.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Describes context inertia, where agents keep pursuing goals despite contrary evidence.</summary>
</entry>
<entry>
<title>Inside Agentic AI Workloads</title>
<link href="https://gimletlabs.ai/blog/inside-agentic-ai-workloads"/>
<id>https://gimletlabs.ai/blog/inside-agentic-ai-workloads</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>gimletlabs.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Characterizes agentic AI workloads that repeatedly re-enter model inference over growing state.</summary>
</entry>
<entry>
<title>Routers Are a New AI Primitive</title>
<link href="https://www.vals.ai/blogs/routers-new-ai-primitive"/>
<id>https://www.vals.ai/blogs/routers-new-ai-primitive</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>vals.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Argues for and runs independent evaluation of model routers on quality, cost and latency.</summary>
</entry>
<entry>
<title>The Continual Constitutional Convention: How language models revise the documents that govern them</title>
<link href="https://www.lesswrong.com/posts/c9woewdY9ddsPqf3J/the-continual-constitutional-convention-how-language-models"/>
<id>https://www.lesswrong.com/posts/c9woewdY9ddsPqf3J/the-continual-constitutional-convention-how-language-models</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Experiments studying how language models revise the constitutions that govern them.</summary>
</entry>
<entry>
<title>What 1,866 GitHub Projects Tell Their AI Coding Agents</title>
<link href="https://secondtimeisabug.com/blog/what-projects-tell-ai-coding-agents/"/>
<id>https://secondtimeisabug.com/blog/what-projects-tell-ai-coding-agents/</id>
<updated>2026-10-15T00:00:00Z</updated>
<author><name>secondtimeisabug.com</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Analyzes AGENTS.md files from 1,866 popular GitHub projects.</summary>
</entry>
<entry>
<title>How We Made Our MMDB Files a Third Smaller Without Changing a Byte of Data</title>
<link href="https://ipinfo.io/blog/how-made-mmdb-files-smaller"/>
<id>https://ipinfo.io/blog/how-made-mmdb-files-smaller</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>ipinfo.io</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>IPinfo describes an optimization that shrinks MMDB files while keeping lookup results unchanged.</summary>
</entry>
<entry>
<title>We found a Tencent agent fleet</title>
<link href="https://swarmcha.se/posts/chinese-agent-fleet-full-report"/>
<id>https://swarmcha.se/posts/chinese-agent-fleet-full-report</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>swarmcha.se</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>An investigation documenting large-scale AI agent activity on cloud platforms.</summary>
</entry>
<entry>
<title>The Machines that Make the Machines</title>
<link href="https://developer.nvidia.com/blog/the-machines-that-make-the-machines/"/>
<id>https://developer.nvidia.com/blog/the-machines-that-make-the-machines/</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>developer.nvidia.com</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>NVIDIA describes methods and lessons from training robots to assemble GB300 test trays.</summary>
</entry>
<entry>
<title>AI Scaling vs Human Scaling</title>
<link href="https://www.tobyord.com/writing/ai-scaling-vs-human-scaling"/>
<id>https://www.tobyord.com/writing/ai-scaling-vs-human-scaling</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>tobyord.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Analyzes whether AI model scaling with tokens resembles human scaling over time.</summary>
</entry>
<entry>
<title>Build-A-Chip-Bench</title>
<link href="https://chipagents.ai/research/build-a-chip-bench"/>
<id>https://chipagents.ai/research/build-a-chip-bench</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>chipagents.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Proposes Build-A-Chip-Bench to evaluate agents on chip design from specification to GDS.</summary>
</entry>
<entry>
<title>We found 110 reward hacks and grading bugs in Terminal-Bench, DeepSWE, and BFCL</title>
<link href="https://usetokenless.com/blog/envcheck/"/>
<id>https://usetokenless.com/blog/envcheck/</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>usetokenless.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Finds 110 reward hacks and grading bugs in benchmarks including Terminal-Bench.</summary>
</entry>
<entry>
<title>Analyzing technical documents with Deep Review</title>
<link href="https://research.google/blog/analyzing-technical-documents-with-deep-review/"/>
<id>https://research.google/blog/analyzing-technical-documents-with-deep-review/</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>research.google</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Google Research describes analyzing technical documents with Deep Review.</summary>
</entry>
<entry>
<title>A Turing Test for Physical Engineering</title>
<link href="https://www.spectrallabs.ai/research/cswp-turing-test"/>
<id>https://www.spectrallabs.ai/research/cswp-turing-test</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>spectrallabs.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates whether AI agents can pass SOLIDWORKS certification exams.</summary>
</entry>
<entry>
<title>Ultramarine 1 Flash: Scaling Non-Verifiable RL</title>
<link href="https://www.paperinstruments.com/blog/ultramarine"/>
<id>https://www.paperinstruments.com/blog/ultramarine</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>paperinstruments.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces Ultramarine 1 Flash, an RL model for non-verifiable tasks.</summary>
</entry>
<entry>
<title>Visualizing Crossref Repository Histories</title>
<link href="https://metadatagamechangers.com/blog/2026/10/10/visualizing-crossref-repository-histories"/>
<id>https://metadatagamechangers.com/blog/2026/10/10/visualizing-crossref-repository-histories</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>metadatagamechangers.com</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Visualizes the history of Crossref repository metadata.</summary>
</entry>
<entry>
<title>Optimization: does quantization hurt coding agents?</title>
<link href="https://aistack.imec-int.com/blog/quantization"/>
<id>https://aistack.imec-int.com/blog/quantization</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>aistack.imec-int.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Measures how FP8, INT4 AWQ and NVFP4 quantization affect coding agent performance.</summary>
</entry>
<entry>
<title>rust-djinn: You Should Specify Your Code Unambiguously (and Prove That You Did)</title>
<link href="https://henniger.dev/post/djinn/"/>
<id>https://henniger.dev/post/djinn/</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>henniger.dev</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Presents a 300-line specified, proven gzip decompressor in Rust.</summary>
</entry>
<entry>
<title>Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation | Scaling Intelligence Lab at Stanford University</title>
<link href="https://scalingintelligence.stanford.edu/blogs/ncm/"/>
<id>https://scalingintelligence.stanford.edu/blogs/ncm/</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>scalingintelligence.stanford.edu</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Presents Next-Concept Modeling for parallel coarse-to-fine text generation.</summary>
</entry>
<entry>
<title>How well can AI play Slay the Spire?</title>
<link href="https://epoch.ai/publications/ai-systems-are-improving-rapidly-at-slay-the-spire-and-its-sequel"/>
<id>https://epoch.ai/publications/ai-systems-are-improving-rapidly-at-slay-the-spire-and-its-sequel</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>epoch.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tracks frontier model win rates on Slay the Spire and its sequel.</summary>
</entry>
<entry>
<title>Into the Rat's Nest: A SenseOn Analysis of the...</title>
<link href="https://www.senseon.io/blog/netsupport-rat-analysis"/>
<id>https://www.senseon.io/blog/netsupport-rat-analysis</id>
<updated>2026-10-14T00:00:00Z</updated>
<author><name>senseon.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Technical analysis of NetSupport RAT campaigns covering delivery, persistence and command-and-control.</summary>
</entry>
<entry>
<title>FrontierML: a challenging, end-to-end machine learning benchmark</title>
<link href="https://www.frontierml.org/blog/"/>
<id>https://www.frontierml.org/blog/</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>frontierml.org</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>FrontierML benchmark: agents do machine learning in 12 hours on a limited budget.</summary>
</entry>
<entry>
<title>The Links Between Cannabis and Crime: Examining the Evidence from Recent Policy Experiments</title>
<link href="https://www.rand.org/pubs/external_publications/EP71427.html"/>
<id>https://www.rand.org/pubs/external_publications/EP71427.html</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>rand.org</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>A RAND narrative review of recent quasi-experimental evidence on cannabis policy and crime.</summary>
</entry>
<entry>
<title>2024 年模型训练攻击事件：受害者陈述与证据整理</title>
<link href="https://keyu-tian-sabotage.github.io/"/>
<id>https://keyu-tian-sabotage.github.io/</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>keyu-tian-sabotage.github.io</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Compiles victim statements and evidence on the 2024 model training sabotage incident.</summary>
</entry>
<entry>
<title>Speculative tool calling: cutting voice AI agent latency</title>
<link href="https://tazolabs.com/blog/speculative-tool-calling-voice-ai"/>
<id>https://tazolabs.com/blog/speculative-tool-calling-voice-ai</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>tazolabs.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes speculative tool calling to reduce voice agent latency.</summary>
</entry>
<entry>
<title>Meta-Metadata: The Dangerous Weird Word Breaks 73% of LLMs</title>
<link href="https://hackstery.com/2026/10/13/meta-metadata-unbounded-consumption-in-llms/"/>
<id>https://hackstery.com/2026/10/13/meta-metadata-unbounded-consumption-in-llms/</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>hackstery.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Tests show a single recursive prompt causes unbounded consumption in 73% of LLMs.</summary>
</entry>
<entry>
<title>Correction Training for Diffusion Models</title>
<link href="https://sunovivid.github.io/correction-training/"/>
<id>https://sunovivid.github.io/correction-training/</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>sunovivid.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes correction training for diffusion models to mitigate exposure bias.</summary>
</entry>
<entry>
<title>Not Only Boring Issues: What Fossil Bones Reveal About cretaceous Haţeg Island</title>
<link href="https://blog.pensoft.net/2026/10/13/not-only-boring-issues-what-fossil-bones-reveal-about-cretaceous-hateg-island/"/>
<id>https://blog.pensoft.net/2026/10/13/not-only-boring-issues-what-fossil-bones-reveal-about-cretaceous-hateg-island/</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>blog.pensoft.net</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Introduces research in which fossil bone traces reveal the Cretaceous Haţeg Island.</summary>
</entry>
<entry>
<title>Natura-1: The Will to Act</title>
<link href="https://www.naturewill.ai/blog/natura-1"/>
<id>https://www.naturewill.ai/blog/natura-1</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>naturewill.ai</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Technical report on Natura-1, a 50B model trained on human video driving a 20-DoF hand.</summary>
</entry>
<entry>
<title>blog - nanoswe</title>
<link href="https://www.nanoswe.com/blog.html"/>
<id>https://www.nanoswe.com/blog.html</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>nanoswe.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports training an agentic coding LLM from scratch on a $1k budget, evaluated on SWE-bench.</summary>
</entry>
<entry>
<title>KIC 5689121—A Kepler Planet Candidate</title>
<link href="https://kuber.studio/planethunt/"/>
<id>https://kuber.studio/planethunt/</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>kuber.studio</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Reports a 13.77-day planet candidate found in Kepler transit data with AI.</summary>
</entry>
<entry>
<title>Can we change an AI model’s architecture without retraining it from scratch?</title>
<link href="https://www.amazon.science/blog/can-we-change-an-ai-models-architecture-without-retraining-it-from-scratch"/>
<id>https://www.amazon.science/blog/can-we-change-an-ai-models-architecture-without-retraining-it-from-scratch</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>amazon.science</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Presents Priming, reusing pretrained Transformer weights to adopt more efficient architectures without full retraining.</summary>
</entry>
<entry>
<title>Model backdoors are easy to create and hard to reliably remove</title>
<link href="https://equistamp.substack.com/p/model-backdoors-are-easy-to-create"/>
<id>https://equistamp.substack.com/p/model-backdoors-are-easy-to-create</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>equistamp.substack.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Reports results that model backdoors are easy to insert and hard to reliably remove.</summary>
</entry>
<entry>
<title>Alignment Is a System Property, Not Just a Model Property</title>
<link href="https://getswiftapi.com"/>
<id>https://getswiftapi.com</id>
<updated>2026-10-13T00:00:00Z</updated>
<author><name>getswiftapi.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports a system-prompt ablation on GPT-4-0613 finding zero-byte responses.</summary>
</entry>
<entry>
<title>Faster Fourier Transforms-by Ben Recht</title>
<link href="https://www.argmin.net/p/faster-fourier-transforms"/>
<id>https://www.argmin.net/p/faster-fourier-transforms</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>argmin.net</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Analyzes OpenAI's FFT algorithm and argues it exploits a loophole rather than being a breakthrough.</summary>
</entry>
<entry>
<title>AI models may be capable of self-replicating without access to a datacenter</title>
<link href="https://www.anthropic.com/research/self-replicating-ai"/>
<id>https://www.anthropic.com/research/self-replicating-ai</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>anthropic.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Anthropic experiments assess whether small AI models can self-replicate on cheap IoT devices.</summary>
</entry>
<entry>
<title>MASS: Recursive Self-Improvement through Multi-Agent Self-Supervision</title>
<link href="https://pub.sakana.ai/mass/?href="/>
<id>https://pub.sakana.ai/mass/?href=</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>pub.sakana.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>MASS project page: recursive self-improvement through multi-agent self-supervision.</summary>
</entry>
<entry>
<title>To Classify, Try a Trie Tree</title>
<link href="https://fsdatalab.github.io/blog/ai-classification/"/>
<id>https://fsdatalab.github.io/blog/ai-classification/</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>fsdatalab.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Describes how the AI-SQL engine uses a trie tree to classify LLM documents at scale.</summary>
</entry>
<entry>
<title>Can Decision Models (Like Jev) Plan Ahead?</title>
<link href="https://www.lesswrong.com/posts/kE4pbmwzdgmFx2RFo/can-decision-models-like-jev-plan-ahead"/>
<id>https://www.lesswrong.com/posts/kE4pbmwzdgmFx2RFo/can-decision-models-like-jev-plan-ahead</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Tests whether the decision model Jev can plan ahead.</summary>
</entry>
<entry>
<title>StreamRender-H3: Interactive Coding Worlds with Real-time Streaming Diffusion Render</title>
<link href="https://nvlabs.github.io/Sana/Sol-Engine/StreamRender-H3/"/>
<id>https://nvlabs.github.io/Sana/Sol-Engine/StreamRender-H3/</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>nvlabs.github.io</name></author>
<category term="robotics-graphics" label="Robotics &amp; graphics"/>
<summary>Proposes StreamRender-H3, which renders interactive coding worlds with streaming diffusion.</summary>
</entry>
<entry>
<title>LinearPFN: Amortized Variable Selection for Linear Models with Interactions</title>
<link href="https://schiekiera.github.io/blog/2026/linear-pfn/"/>
<id>https://schiekiera.github.io/blog/2026/linear-pfn/</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>schiekiera.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes a pretrained LinearPFN for variable selection in linear models with interactions.</summary>
</entry>
<entry>
<title>CEO-Bench</title>
<link href="https://ceobench.com/"/>
<id>https://ceobench.com/</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>ceobench.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Introduces CEO-Bench, evaluating whether AI agents can run a simulated startup for 500 days.</summary>
</entry>
<entry>
<title>Solving Open Research Problems Together</title>
<link href="https://research.meta.ai/blog/solving-open-research-problems-together"/>
<id>https://research.meta.ai/blog/solving-open-research-problems-together</id>
<updated>2026-10-12T00:00:00Z</updated>
<author><name>research.meta.ai</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>Meta reports mathematicians and its model collaborating on six research papers.</summary>
</entry>
<entry>
<title>MASS: Recursive Self-Improvement through Multi-Agent Self-Supervision</title>
<link href="https://pub.sakana.ai/mass/"/>
<id>https://pub.sakana.ai/mass/</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>pub.sakana.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Studies MASS, recursive self-improvement of language models through multi-agent self-supervision.</summary>
</entry>
<entry>
<title>GPT-6 Astra performs unsanctioned supply-chain attacks in simulations</title>
<link href="https://www.aisi.gov.uk/blog/gpt-6-astra-performs-unsanctioned-supply-chain-attacks-in-simulations"/>
<id>https://www.aisi.gov.uk/blog/gpt-6-astra-performs-unsanctioned-supply-chain-attacks-in-simulations</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>aisi.gov.uk</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Evaluates unauthorized supply-chain attack behavior by GPT-6 Astra in simulations.</summary>
</entry>
<entry>
<title>SMITH: Joint Optimization of Tool Creation and Use for LLM Agents</title>
<link href="https://tool-use-smith.github.io/"/>
<id>https://tool-use-smith.github.io/</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>tool-use-smith.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes SMITH, which jointly optimizes tool creation and tool use for LLM agents.</summary>
</entry>
<entry>
<title>Measuring the Depth of LLM Unlearning via Activation Patching</title>
<link href="https://gnueaj.github.io/unlearning-depth-score/"/>
<id>https://gnueaj.github.io/unlearning-depth-score/</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>gnueaj.github.io</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Proposes the Unlearning Depth Score, which measures LLM unlearning depth via activation patching.</summary>
</entry>
<entry>
<title>I paid people to try and follow my README</title>
<link href="https://shkspr.mobi/blog/2026/10/i-paid-people-to-try-and-follow-my-readme/"/>
<id>https://shkspr.mobi/blog/2026/10/i-paid-people-to-try-and-follow-my-readme/</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>shkspr.mobi</name></author>
<category term="other" label="Other"/>
<summary>Pays people to follow a README to test the quality of the documentation.</summary>
</entry>
<entry>
<title>TasteRoute: Personalized Routing for Video Generation</title>
<link href="https://zrt.wtf/publication/2026-10-10-taste-route"/>
<id>https://zrt.wtf/publication/2026-10-10-taste-route</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>zrt.wtf</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Presents TasteRoute, personalized routing among video generation models.</summary>
</entry>
<entry>
<title>Measuring Cryptanalytic Effort</title>
<link href="https://bitsofwork.org"/>
<id>https://bitsofwork.org</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>bitsofwork.org</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Bibliometric estimate of public cryptanalysis effort for each public-key assumption.</summary>
</entry>
<entry>
<title>Has mainstream cryptography provided 30 years of protection? (Mostly not, but we’re getting way better)</title>
<link href="https://dreamstation.systems/personal/crypto30years.html"/>
<id>https://dreamstation.systems/personal/crypto30years.html</id>
<updated>2026-10-11T00:00:00Z</updated>
<author><name>dreamstation.systems</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Reviews whether widely used ciphers and hashes survived 30 years without practical attacks.</summary>
</entry>
<entry>
<title>What Do MTEB Scores Mean, and How Should You Choose an Embedding Model?</title>
<link href="https://thottingal.in/blog/2026/10/09/mteb-scores/"/>
<id>https://thottingal.in/blog/2026/10/09/mteb-scores/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>thottingal.in</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Analyzes what makes up MTEB scores and discusses embedding model choice using Indian languages as an example.</summary>
</entry>
<entry>
<title>A Thermometer, Not an Analyst: A Text Judge in a Trading Lab</title>
<link href="https://alexvidovich.com/papers/text-judge"/>
<id>https://alexvidovich.com/papers/text-judge</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>alexvidovich.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Evaluates Jev and Claude as judges of trading news headlines through six gates.</summary>
</entry>
<entry>
<title>GitSwarm: Decentralized Compounding Inference</title>
<link href="https://veds12.github.io/git-swarm/"/>
<id>https://veds12.github.io/git-swarm/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>veds12.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes GitSwarm, in which a swarm of agents shares a Git repository to accumulate attempts.</summary>
</entry>
<entry>
<title>If LLMs Can Decide Without Fine-Tuning, Do We Still Need Models Like Jev?</title>
<link href="https://itsodeleo.github.io/posts/local-decision-workflow/"/>
<id>https://itsodeleo.github.io/posts/local-decision-workflow/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>itsodeleo.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Locally tests LLMs such as Qwen for decision making without fine-tuning and compares them with Jev.</summary>
</entry>
<entry>
<title>PINN for passive myocardium hyperelasticity</title>
<link href="https://osmangult.github.io/blog/2026/pinn-myocardium/"/>
<id>https://osmangult.github.io/blog/2026/pinn-myocardium/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>osmangult.github.io</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>A project description of fitting passive myocardium hyperelastic constitutive laws with a PINN.</summary>
</entry>
<entry>
<title>When Do Innocent LLM Agents Reach Unfair Decisions?</title>
<link href="https://mayaokawa.github.io/blog/2026/biased-consensus/"/>
<id>https://mayaokawa.github.io/blog/2026/biased-consensus/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>mayaokawa.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Uses an Ising model to analyze how small biases amplify into unfair consensus in LLM debates.</summary>
</entry>
<entry>
<title>Fast, but incomplete and inaccurate: twelve AI-powered tools for literature search</title>
<link href="https://renebekkers.wordpress.com/2026/10/10/fast-but-incomplete-and-inaccurate-twelve-ai-powered-tools-for-literature-search/"/>
<id>https://renebekkers.wordpress.com/2026/10/10/fast-but-incomplete-and-inaccurate-twelve-ai-powered-tools-for-literature-search/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>renebekkers.wordpress.com</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Evaluates twelve AI literature search tools and points out their shortcomings.</summary>
</entry>
<entry>
<title>Designing Kolibri: Architecture Trade-Offs from First Principles</title>
<link href="https://aleph-alpha.com/en/blog/designing-kolibri-architecture-trade-offs-from-first-principles/"/>
<id>https://aleph-alpha.com/en/blog/designing-kolibri-architecture-trade-offs-from-first-principles/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>aleph-alpha.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports architecture trade-off analysis for the Kolibri model covering parameters, FLOPs and mixers.</summary>
</entry>
<entry>
<title>VibeSys Builds a Qwen3.5-397B Engine on MI300A, 2.3× Tuned SGLang</title>
<link href="https://syfi.cs.washington.edu/blog/2026-10-08-qwen35-mi300a/"/>
<id>https://syfi.cs.washington.edu/blog/2026-10-08-qwen35-mi300a/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>syfi.cs.washington.edu</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Reports a Qwen3.5-397B inference engine on MI300A running 2.3x faster than tuned SGLang.</summary>
</entry>
<entry>
<title>Vega: a decision model that rolls a ball down a hill / Nandakishor M</title>
<link href="https://www.nandakishorm.com/writing/vega"/>
<id>https://www.nandakishorm.com/writing/vega</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>nandakishorm.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Describes Vega, a decision model, and how its pooled vectors are settled by a small physics engine.</summary>
</entry>
<entry>
<title>Is this machine playing?</title>
<link href="https://machineplaying.org/"/>
<id>https://machineplaying.org/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>machineplaying.org</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Reports observations of a coding agent left without a goal in a 3D island.</summary>
</entry>
<entry>
<title>MCP server rules: Claude, ChatGPT, Codex, VS Code and more</title>
<link href="https://pournasserian.com/writing/what-ai-hosts-require-of-an-mcp-server"/>
<id>https://pournasserian.com/writing/what-ai-hosts-require-of-an-mcp-server</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>pournasserian.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Compares checkable rules that eight AI hosts apply to MCP servers.</summary>
</entry>
<entry>
<title>One vector is too few. One per token is too many.</title>
<link href="https://breadbowl.ai/blog/breadbowl-embed/"/>
<id>https://breadbowl.ai/blog/breadbowl-embed/</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>breadbowl.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes BreadBowl-Embed, a late-interaction embedding architecture built on KV cache.</summary>
</entry>
<entry>
<title>The plunging price of thought</title>
<link href="https://epoch.ai/publications/the-plunging-price-of-thought"/>
<id>https://epoch.ai/publications/the-plunging-price-of-thought</id>
<updated>2026-10-10T00:00:00Z</updated>
<author><name>epoch.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Measures how fast the cost of a given AI performance level is falling versus other technologies.</summary>
</entry>
<entry>
<title>Jane Street Blog - Can you use autoregressive diffusion to generate market data?</title>
<link href="https://blog.janestreet.com/can-you-use-autoregressive-diffusion-to-generate-market-data/"/>
<id>https://blog.janestreet.com/can-you-use-autoregressive-diffusion-to-generate-market-data/</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>blog.janestreet.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Explores using autoregressive diffusion to generate market data.</summary>
</entry>
<entry>
<title>Can AI automate AI R&amp;D yet?</title>
<link href="https://epoch.ai/publications/innovationeval"/>
<id>https://epoch.ai/publications/innovationeval</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>epoch.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Uses InnovationEval to test whether AI models can reproduce human algorithmic innovations.</summary>
</entry>
<entry>
<title>Datology Curation Studio Improves Even the Best Open Data</title>
<link href="https://www.datologyai.com/blog/text-curation-oct-2026"/>
<id>https://www.datologyai.com/blog/text-curation-oct-2026</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>datologyai.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports that Datology Curation Studio improves open data, giving a 6x compute equivalent.</summary>
</entry>
<entry>
<title>Backtests vs Live Trading: Six Defects from One System</title>
<link href="https://alexvidovich.com/papers/backtest-hygiene"/>
<id>https://alexvidovich.com/papers/backtest-hygiene</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>alexvidovich.com</name></author>
<category term="econ-social" label="Economics &amp; society"/>
<summary>Analyzes six types of defects behind the gap between backtests and live results in an intraday trading system.</summary>
</entry>
<entry>
<title>How We Trained ZooWork-ShopRanker</title>
<link href="https://zoowork.ai/blog/relevance-is-not-preference-shopranker/"/>
<id>https://zoowork.ai/blog/relevance-is-not-preference-shopranker/</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>zoowork.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports on training ZooWork-ShopRanker, an open reranking model for shopping preferences.</summary>
</entry>
<entry>
<title>AI Companies as Cybernetic Systems</title>
<link href="https://ai-cybernetics.grok.me"/>
<id>https://ai-cybernetics.grok.me</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>ai-cybernetics.grok.me</name></author>
<category term="math-theory" label="Mathematics &amp; theory"/>
<summary>A manuscript modeling AI companies with higher-order groupoid semantics.</summary>
</entry>
<entry>
<title>Fun with low-rank vocab matrices (and a bonus test loss reduction?)</title>
<link href="https://www.gilesthomas.com/2026/10/low-rank-vocab-matrices"/>
<id>https://www.gilesthomas.com/2026/10/low-rank-vocab-matrices</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>gilesthomas.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Experiments with low-rank vocabulary matrices replacing LLM embeddings and the change in test loss.</summary>
</entry>
<entry>
<title>Evapotranspiration monitoring</title>
<link href="https://from-sea-to-summit.github.io/blog/2026/evaporation-measurements/"/>
<id>https://from-sea-to-summit.github.io/blog/2026/evaporation-measurements/</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>from-sea-to-summit.github.io</name></author>
<category term="physics-earth" label="Physics &amp; earth science"/>
<summary>Records the installation of evapotranspiration monitoring equipment and initial observations.</summary>
</entry>
<entry>
<title>NIH and AHRQ Grant Disruption Methodology</title>
<link href="https://grantwitness.org/nih/updates/methodology"/>
<id>https://grantwitness.org/nih/updates/methodology</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>grantwitness.org</name></author>
<category term="scholarly-communication" label="Scholarly communication"/>
<summary>Explains how NIH and AHRQ grant disruption data is tracked.</summary>
</entry>
<entry>
<title>HarnessTax: How Much Does the Harness Matter for Coding Agents?</title>
<link href="https://arena.ai/blog/coding-agents-harness-tax"/>
<id>https://arena.ai/blog/coding-agents-harness-tax</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>arena.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Benchmarks 21 coding agent model and harness combinations to measure harness impact.</summary>
</entry>
<entry>
<title>Action retrieval: VideoDB vs Nova and Twelve Labs</title>
<link href="https://videodb.io/blog/a-faster-path-to-the-next-policy"/>
<id>https://videodb.io/blog/a-faster-path-to-the-next-policy</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>videodb.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Vendor benchmark comparing action retrieval in 100 hours of video against AWS Nova and Twelve Labs.</summary>
</entry>
<entry>
<title>U-Space</title>
<link href="https://s2lab.org/U-Space/"/>
<id>https://s2lab.org/U-Space/</id>
<updated>2026-10-09T00:00:00Z</updated>
<author><name>s2lab.org</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Preprint project page studying when and why uncertainty arises in language models.</summary>
</entry>
<entry>
<title>Two-Thirds of MiMo v2.6's Coding Tasks Leak the Answer. Are Models That Exploit This Misbehaving?</title>
<link href="https://www.vals.ai/blogs/mimo-reward-hacking"/>
<id>https://www.vals.ai/blogs/mimo-reward-hacking</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>vals.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Audits MiMo v2.6 coding tasks and finds two thirds leak the answer.</summary>
</entry>
<entry>
<title>Cheaters and whistleblowers in the agent swarm</title>
<link href="https://institute.deepmind.com/essays/cheaters-and-whistleblowers-in-the-agent-swarm/"/>
<id>https://institute.deepmind.com/essays/cheaters-and-whistleblowers-in-the-agent-swarm/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>institute.deepmind.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Documents an experiment where agents cheat and blow the whistle at a virtual math conference.</summary>
</entry>
<entry>
<title>ATLAS: Evaluating Agents on Search-Intensive Tasks</title>
<link href="https://exa.ai/blog/atlas-benchmark"/>
<id>https://exa.ai/blog/atlas-benchmark</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>exa.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Previews the ATLAS benchmark for agents on search-intensive tasks.</summary>
</entry>
<entry>
<title>DeLM — Decentralized Multi-Agent Systems with Shared Context</title>
<link href="https://yuzhenmao.github.io/DeLM/"/>
<id>https://yuzhenmao.github.io/DeLM/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>yuzhenmao.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes DeLM, which organizes multiple agents with shared context and a task queue.</summary>
</entry>
<entry>
<title>Agent Plasticity: Measuring Self-Improvement Through Experience</title>
<link href="https://harmandotpy.github.io/agent-plasticity/"/>
<id>https://harmandotpy.github.io/agent-plasticity/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>harmandotpy.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes Agent Plasticity to measure experience-based self-improvement of frozen-weight agents.</summary>
</entry>
<entry>
<title>Self-Modeling Interventions Modulate Emergent Misalignment</title>
<link href="https://www.lesswrong.com/posts/7wrzfaiCq3u8xkY5G/self-modeling-interventions-modulate-emergent-misalignment"/>
<id>https://www.lesswrong.com/posts/7wrzfaiCq3u8xkY5G/self-modeling-interventions-modulate-emergent-misalignment</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>lesswrong.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Studies how self-modeling interventions affect emergent misalignment.</summary>
</entry>
<entry>
<title>How many AI agents could we run?</title>
<link href="https://epoch.ai/publications/estimating-the-agent-population"/>
<id>https://epoch.ai/publications/estimating-the-agent-population</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>epoch.ai</name></author>
<category term="systems-hardware" label="Systems &amp; hardware"/>
<summary>Estimates how many agents the AI chips shipped through 2027 could run.</summary>
</entry>
<entry>
<title>Lessons from building in silico life with homeostatic RL</title>
<link href="https://ravulapallimanas.github.io/writing/2026/10/ideas-on-creating-artificial-life-in-silico/"/>
<id>https://ravulapallimanas.github.io/writing/2026/10/ideas-on-creating-artificial-life-in-silico/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>ravulapallimanas.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Summarizes lessons from building need-driven artificial life with homeostatic reinforcement learning.</summary>
</entry>
<entry>
<title>Posters at SciCoCo.nrw: Training LLMs and an Integrated Approach for Benchmarking</title>
<link href="https://x-dev.pages.jsc.fz-juelich.de/2026/10/08/scicoco-posters.html"/>
<id>https://x-dev.pages.jsc.fz-juelich.de/2026/10/08/scicoco-posters.html</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>x-dev.pages.jsc.fz-juelich.de</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Presents posters from SciCoCo.nrw on LLM training and benchmarking.</summary>
</entry>
<entry>
<title>Hotword detection in FHE on GPU in 350ms</title>
<link href="https://www.jeremykun.com/shortform/2026-10-08-1120/"/>
<id>https://www.jeremykun.com/shortform/2026-10-08-1120/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>jeremykun.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Reports that the HEIR compiler completes FHE hotword detection on a GPU in 350 ms.</summary>
</entry>
<entry>
<title>RRSI: Regularized Recursive Self-Improvement of Agent Harnesses</title>
<link href="https://regularized-rsi.com/"/>
<id>https://regularized-rsi.com/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>regularized-rsi.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes regularized recursive self-improvement to stop evolved agent harnesses overfitting their benchmark.</summary>
</entry>
<entry>
<title>Studying metagaming latents in language models</title>
<link href="https://alignment.openai.com/metagaming-latents/"/>
<id>https://alignment.openai.com/metagaming-latents/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>alignment.openai.com</name></author>
<category term="interpretability-alignment" label="Interpretability &amp; alignment"/>
<summary>Studies latent features in language models linked to reasoning about monitoring and reward.</summary>
</entry>
<entry>
<title>The Alchemy of Semi-Supervision</title>
<link href="https://stefankeselj.com/entries/semi_supervision/"/>
<id>https://stefankeselj.com/entries/semi_supervision/</id>
<updated>2026-10-08T00:00:00Z</updated>
<author><name>stefankeselj.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Studies semi-supervised learning as an under-used ML method with experiments.</summary>
</entry>
<entry>
<title>When Submarine Cables Go Dark: Understanding and Preparing for the Risks of Taiwan's International Internet Disconnection</title>
<link href="https://resilience.ocf.tw/web/report/en"/>
<id>https://resilience.ocf.tw/web/report/en</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>resilience.ocf.tw</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Analyzes the risk of disruption to Taiwan's international submarine cables and how to prepare.</summary>
</entry>
<entry>
<title>Artifact Arena — where making is the measure of intelligence</title>
<link href="https://artifactarena.ai"/>
<id>https://artifactarena.ai</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>artifactarena.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes Artifact Arena, a benchmark that measures intelligence by what models make.</summary>
</entry>
<entry>
<title>Cyber guardrails tax the defender, not the attacker</title>
<link href="https://winfunc.com/research/cyber-guardrails-tax-the-defender-not-the-attacker"/>
<id>https://winfunc.com/research/cyber-guardrails-tax-the-defender-not-the-attacker</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>winfunc.com</name></author>
<category term="security-privacy" label="Security &amp; privacy"/>
<summary>Analyzes the AI agent intrusion at Hugging Face and argues that cyber guardrails burden defenders.</summary>
</entry>
<entry>
<title>Training a small model to run a house: GRPO on Qwen3-1.7B for Home Assistant, 75.0% to 89.8%</title>
<link href="https://www.neelabhbuilds.com/writing/training-a-small-model-to-run-a-house"/>
<id>https://www.neelabhbuilds.com/writing/training-a-small-model-to-run-a-house</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>neelabhbuilds.com</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Trains Qwen3-1.7B with GRPO on a single RTX 3060 to control a smart home, and reports results.</summary>
</entry>
<entry>
<title>A 15M-parameter RL agent vs GPT-6 Astra, rekursiv.ai</title>
<link href="https://rekursiv.ai/blog/craftax/"/>
<id>https://rekursiv.ai/blog/craftax/</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>rekursiv.ai</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Reports an AI scientist-optimized 15M-parameter RL agent reaching a 44% win rate on Craftax.</summary>
</entry>
<entry>
<title>Evaluating OCR on the Community Memory Corpus</title>
<link href="https://ztoz.blog/posts/ocr-cm/"/>
<id>https://ztoz.blog/posts/ocr-cm/</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>ztoz.blog</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Evaluates OCR methods on the Community Memory corpus.</summary>
</entry>
<entry>
<title>AIM — Agentic Idea Management for Automated Research</title>
<link href="https://imhgchoi.github.io/agentic-idea-manager/"/>
<id>https://imhgchoi.github.io/agentic-idea-manager/</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>imhgchoi.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes AIM, which uses agents to manage and explore ideas for automated research.</summary>
</entry>
<entry>
<title>ServeLearnBench</title>
<link href="https://infini-ai-lab.github.io/ServeLearnBench/"/>
<id>https://infini-ai-lab.github.io/ServeLearnBench/</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>infini-ai-lab.github.io</name></author>
<category term="ai-ml" label="AI / ML"/>
<summary>Proposes ServeLearnBench to evaluate agents' self-improvement from serving experience.</summary>
</entry>
<entry>
<title>Nüchtern in den Präpkurs – schadet das dem Lernen?</title>
<link href="https://medical-education.pages.ub.uni-bielefeld.de/research/mes-blog/posts/2026-10-08-ernaehrung-nuechtern/"/>
<id>https://medical-education.pages.ub.uni-bielefeld.de/research/mes-blog/posts/2026-10-08-ernaehrung-nuechtern/</id>
<updated>2026-10-07T00:00:00Z</updated>
<author><name>medical-education.pages.ub.uni-bielefeld.de</name></author>
<category term="bio-health" label="Biology &amp; health"/>
<summary>Discusses whether going to the anatomy course on an empty stomach affects learning.</summary>
</entry>
</feed>
