A twenty-five-year-old mystery at the base of the NIST elliptic curves was solved in under half an hour: an Anthropic research model, asked cold without the standing rumour, found that the P-192 through P-521 seeds were…
Meta released the weights for Muse Spark Open, a natively multimodal mixture-of-experts model with 816 billion total parameters, 42 billion active and a one-million-token context window, while Apple's Machine Learning R…
The FTC sent civil investigative demands running past fifty pages to both OpenAI and Anthropic, seeking documents on safety incidents, internal security measures and marketing materials that may have misled consumers, w…
Anthropic researchers sharded Gemma4-26B-A4B across fifteen $55 off-brand Android TV boxes and got inference at 0.39 tokens per second, arguing that small open-weight models are months rather than years away from weight…
Meta Superintelligence Labs releases the Muse Wonder series, Muse Wonder and Muse Wonder Full, trained at its gigawatt-scale Prometheus data center and available immediately through the Meta Model API and Muse Code, bui…
Microsoft announces Maia 300, its third-generation in-house inference accelerator, designed backwards from the power envelope: 96 accelerators in a 167-kW rack, TSMC N2P compute chiplets, eight HBM4 stacks giving 288 GB…
Googlebooks arrive, a coding agent gets caught uploading whole repositories, Python Workers go GA, the M5 Ultra Mac Studio becomes a local-agent workstation, and Grok 4.7 ships self-verification.
Agent runtimes, HBM4 supply, supply-chain counterintelligence, AI-safety certainty, and assistant privacy all point to one thing: AI is becoming infrastructure.