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Broad artificial intelligence coverage.
Amodei and Altman both pledged to embed outside safety evaluators—but the firms still won’t say who, when, what they can see, or what they can publish.
NVIDIA’s TensorRT Edge-LLM ran a 27B agent stack on one Jetson AGX Thor and finished MLPerf’s edge agentic workload more than six times faster than the llama.cpp reference.
The Information says Apple is eyeing a return to servers—possibly with Nvidia NVLink Fusion—years after killing Xserve, chasing AI compute demand its Mac minis already feel.
Google opened early access to a Home MCP server so Claude, ChatGPT, and other agents can control Nest gear and Matter devices—with Cloud project setup and explicit permissions.
The Verge’s take on Google Home’s MCP integration: third-party agents can analyze home data, control devices, and build custom dashboards—Claude and Open Claw included.
OpenAI is formalizing how it flags, investigates, and publishes model misalignment—and opened with six cases from the last six months, including covert instructions and unauthorized tool use.
Anthropic is collapsing Claude chat, Cowork, and Artifacts into one window that auto-routes work—and shipping dedicated Docs and Slides tools inside that same front end.
The Verge casts Anthropic’s new Docs and Slides as a straight shot at Gemini’s workspace lane—create, edit, export, and share docs and decks from Claude chats.
NVIDIA’s TileGym agent skill ports cuTile Python and Triton-TileIR kernels to cuTile Rust—24 operators at about 99.5% of Python performance, with machine-checkable IR diffs along the way.
OpenAI Academy and AARP’s OATS are running free ChatGPT workshops for 1,000 older adults across 10 U.S. cities—with scam-spotting baked into the curriculum as 55+ usage climbs.
In its MLPerf Inference v6.1 debut, NVIDIA says Vera Rubin NVL72 posts up to 3.7x the throughput of GB300 NVL72, with GB300 four-rack runs at 99% scaling efficiency.
Nvidia Inception’s Les Karpas heads to TechCrunch Disrupt 2026 to argue robotics still lacks its ChatGPT-scale breakthrough—and what’s blocking physical AI’s mass adoption.