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Ranked signal · finite reading
One shared ranking. Scan what changed, save what matters, and stop when the finish line appears.
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A single-author repo of instruction files, not code, Ponytail passed 44,000 GitHub stars in nine days by making coding agents stop over-building. Its headline claim of 80-94% less code came from a flawed baseline; aft... Context & related coverage →
I released LLM 0.32 this morning, the most significant new version of LLM since the initial launch of the project. The new version includes support for visible reasoning traces, server-side provider tools, redesigned... Context & related coverage →
Every company I see has an automated code review agent set up in their repository. It doesn't solve the code review problem. The automated review agents cannot be trusted the same way coding agents cannot be trusted.... Context & related coverage →
Large language models (LLMs), and the agents built on top of them, are now benchmarked heavily on whether they can finish a task -- fix a bug, drive a browser, operate a GUI. A complementary social ability, namely how... Context & related coverage →
We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web exploration. Prelimin... Context & related coverage →
Fixed worktree-isolated sessions and their subagents being able to run destructive git commands against the main checkout; isolation now applies to file edit... · Fixed PreToolUse auto-allow hooks bypassing tool restr... Context & related coverage →
Learn how to evaluate voice agents across execution, outcomes, and caller experience using LangSmith traces, code evaluators, LLM judges, and human review. Context & related coverage →
Existing scaling strategies for Multimodal Large Language Models (MLLMs) typically expand either model parameters or sequential inference computation, incurring substantial memory or latency overhead. More importantly... Context & related coverage →
Release: llm-anthropic 0.26 Includes new features enabled by LLM 0.32 : New models: claude-fable-5 , claude-sonnet-5 , and claude-opus-5 . #75 , #76 Added server-side tools for WebSearch , WebFetch , CodeExecution , a... Context & related coverage →
China uses DeepSeek in Attempted Hermes Agent Cyber Attacks Cybersecurity Insiders Context & related coverage →
Large language models can solve substantially harder reasoning problems with more inference-time compute. The term "test-time scaling," however, now covers diverse inference algorithms that extend deliberation along a... Context & related coverage →
An external reconstruction of how Memory, Proactivity, Scheduling, Browser Use, Plugins, Skills and Tools work in the new ChatGPT Work. Context & related coverage →