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Benchmarked how the latest LLMs perform on expert level medical questions
A new benchmark of leading AI models on expert-level medical questions reveals both how far these systems have come and where they still fall short. Natomy ran six frontier models through MedXpertQA, a dataset of 4,450 questions s...
Show HN: Self-hosted company OS, Claude Code and Codex agents in departments
OtoDock is a self-hosted platform that turns Claude Code and Codex into multi-tenant agents with persistent memory, tool access, and workspace isolation. It runs on your own Anthropic and OpenAI subscriptions, or on local models,...
Codex GPT-5.6-sol Performance Tracker
Marginlab launched a daily performance tracker for OpenAI's Codex running gpt-5.6-sol, aimed at catching statistically significant regressions on software engineering tasks before they affect developer workflows. The tracker is in...
Show HN: A guestbook for humans and AI agents, built on 144 pixels
A90.com launched the Imprint Index, a guestbook built on a 12 by 12 pixel canvas where both humans and AI agents can leave permanent contributions. The constraint is the point: four colors, 144 pixels, and a protocol that treats p...
OpenAI’s sly mathematical breakthrough sends a chill through academia
OpenAI announced Tuesday that an unreleased model solved the Navier-Stokes problem, one of mathematics' seven Millennium Prize questions, in 88 hours using a swarm of roughly 10,000 AI agents. The problem, which concerns the movem...
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
LLM agents that plan over long horizons tend to lose track of their objectives, invoke tools out of order, and repeat unproductive actions. A team from Google, Georgia Tech, and Peking University proposes a fix: store procedural k...
I rank the open-source AI agents that launched in the last 30 days
The Agenticle Leaderboard launched The New 100, a weekly ranking of open-source AI agents that measures what is being built right now, not what was popular months ago. The board refreshes every Monday with a 30-day rolling window,...
I'm not learning coding from LLMs, but product design
Randy Au, a quantitative UX researcher and self-described boring programmer, has been building small tools with LLM-generated code for months. His takeaway is not about coding skills. It is about product design: the hard part of m...
LogitScope: Analyzing LLM uncertainty from token probability distributions
IBM's Granite team released LogitScope, an open-source Python framework that analyzes large language models by computing information-theoretic metrics directly from token probability distributions. Instead of interpreting what a m...
Ask HN: Software Licenses that prevent LLMs from training on open source?
A developer preparing to release an open-source software library asked the Hacker News community whether any software licenses exist that would prevent large language models from ingesting the code into their training data. The qu...