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…
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…
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…
Ryan Dahl announces that the entire Deno team is joining Cloudflare, with the Deno runtime receiving one more year of monthly bug-fix and security releases before development ends, Deno Deploy shutting down in six month…
Mistral launches a public preview of Mistral Large 4, a 1.05 trillion parameter natively multimodal model with 49 billion active parameters, trained from scratch on 3,800 Grace Blackwell GPUs in Mistral's own European d…
Google ships Gemini 4 Argon to vetted cyber defenders first - new state of the art on DeepSWE v1.1 at 77.9%, #1 on the GDP-weighted Vals Index and Zapier AutomationBench, a 1M-token output limit, and internal agents tha…
Agent runtimes, HBM4 supply, supply-chain counterintelligence, AI-safety certainty, and assistant privacy all point to one thing: AI is becoming infrastructure.
Debian chooses accountable AI use, Samsung moves compute into memory, music publishers escalate against Anthropic, SK hynix anchors U.S. HBM packaging, and Google pushes search deeper into generated answers.