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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,...
DOJ wants more answers on Fox’s $22B Roku deal
Fox's $22 billion acquisition of Roku hit a new obstacle on Tuesday when the Department of Justice issued a "second request" for additional data and documents from both companies. The request, first reported by Semafor, does not s...
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...
Superintelligence is coming. Should we let it?
AI companies have spent the last few years framing superintelligence as a technical inevitability rather than a policy choice. That framing is starting to crack. Recent safety incidents, including a breach of OpenAI's integration...
Show HN: Locksmith: Store Maven Secrets in the macOS Keychain (Or a Unix Socket)
Storing plaintext passwords in Maven's settings.xml is a known risk. Tools that read the file, LLMs that process it, and remote code execution vulnerabilities can all expose credentials that were meant to stay private. Locksmith,...
Google: AI agents harvested credentials in under six hours
Google Threat Intelligence Group (GTIG) published its Q2 2026 threat tracker, and the findings paint a clear picture: adversaries have moved well beyond simple prompt-based interactions with AI models. They are now building autono...