The Decoder
OpenAI is talking about the AGI era, and Nvidia CEO Jensen Huang says AGI has arrived. At the same time, co-creators of today's models are leaving OpenAI, Google DeepMind, and Meta to start their own labs, raising billions with no product to show.
Summary drawn from The Decoder's own description of the story.
The Decoder
Google Research built an AI that spots signs of high blood pressure using only the pulse and motion sensors in a standard smartwatch, no cuff needed. In a 196-person study, its 65.8 percent detection rate beat the traditional in-office measurement.
planned-obsolescence.org
If acceleration compounds, the naive extrapolation implies superintelligence within a year This post discusses a public METR report on AI R&D acceleration at Anthropic. I did not work on this project or see the unredacted report.
The Decoder
Ricursive Intelligence is releasing Ripple-65B Preview, a 65-billion-parameter open-weight language model that the company says achieves the top score among open-source U.S. models on the TerminalBench 2.1 coding benchmark at a total R&D cost of $32 million. On other benchmarks, however, Ripple falls behind the likewise newly released western open model Inkling 2 Small.
TechCrunch
Meta's Muse agents continue to get new features and integrations. Spaces promises to be a new way to interact with the AI helpers.