OpenAI Habitat storage: 22M requests/sec for 1 billion users
OpenAI's Habitat storage platform now handles 22 million requests per second for 1 billion ChatGPT users, evolved from a Python library.
The AI knowledge 99.9% of people never discover
OpenAI news explained — GPT model releases, pricing, safety reports and the business decisions behind them, and what each one means for people who use the tools at work.
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OpenAI's Habitat storage platform now handles 22 million requests per second for 1 billion ChatGPT users, evolved from a Python library.
César de la Fuente's lab turns OpenAI's coding tools on living and extinct genomes to find antimicrobial molecules, but no peer-reviewed results exist yet.
OpenAI's new Agents API runs cloud agents on the same Codex harness it uses internally, with orchestration and long-running sessions built in.
Paul Christiano, an AI alignment researcher with NIST ties and early OpenAI roots, joins the Foundation Board and Safety and Security Committee.
NVIDIA's DSX platform will power up to 2 gigawatts of Australian AI compute by 2027, with local operators building and running the facilities.
OpenAI published an AI-generated Navier-Stokes solution with a Lean proof on September 8. Nobody has verified it. The Clay Institute has not accepted it.
OpenAI's $5 million grant program invites independent researchers to study how generative AI shapes teen development, well-being and safety.
A new maturity model finds prohibition-based AI policies leave residual risk near baseline, while layered controls cut exfiltration risk substantially.
OpenWhispr, a free open-source voice-to-text app running NVIDIA Parakeet locally, is trending on GitHub with 7,613 stars and a fresh 1.9.0 release.
Qwen, Mistral and Llama accepted a fake developer identity without external proof, a new arXiv preprint reports, exposing a gap in AI identity handling.
X's For You feed algorithm repo is trending on GitHub after August updates added production training code, visibility filters, and a Brazil election
OpenAI says coding agents are reshaping its internal AI research, with early data on agent usage and experiment velocity, but no verifiable metrics.