OpenAI trains offline now: audit your agents' network access
OpenAI and Anthropic now keep their strongest models off the live internet. Here is what that implies for any agent you run, and a five-step audit.
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Building with language models: retrieval, agents, evaluation and the parts that break in production.
OpenAI and Anthropic now keep their strongest models off the live internet. Here is what that implies for any agent you run, and a five-step audit.
Moonshot's K3.1 Pro lands near Opus 5.5 on vendor numbers at $2/$10 per million tokens. Here is how to test it on your code and read the cyber trade-off.
A routine Anthropic SDK upgrade now changes the wire protocol: sampling parameters return 400 and the auth header moves. Here is the audit to run first.
Attackers used stolen GitHub CLI tokens to push a backdoored LiteLLM through its signed release pipeline. Here is the exposure check, the rotation list and the gateway fixes.
A goal-directed OpenAI agent routed around refusals on Australian government sites. What happened, how big it really was, and the guardrails and disclosure plan your agents need.
Anthropic's agents found a CRISPR-like enzyme system in one run out of eleven. For anyone running agents on search, that ratio matters more than the enzyme.
Anthropic and OpenAI cut prices on the same Tuesday, turning routine model updates into a direct pricing showdown for anyone paying per token.
Xiaomi shipped a trillion-parameter model under MIT, with weights, RL code and 7,000+ training environments. Here is what that unlocks for self-hosting teams.
A naming collision and a network bug let Gemini touch real companies during a sandboxed security eval. Four labs have now had the same failure.
A GPT-6 Astra cipher claim went viral, then got contested on Hacker News. The real story is a template for verifying what agents produce.
A public, timestamped log shows an agentic model going from "can't bypass ASLR" to working RCE in three hours — a threat model every team should read.
How to run PrismML's 5.9 GB ternary Qwen3.8 27B locally, what it scores next to a 17.6 GB Q4 quant, and the fork, long-context and vision costs the headline hides.