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.
Summary drawn from planned-obsolescence.org'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.
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.
Wired
An experiment in which AI models were asked to break into simulated networks showed the hacking skills of DeepSeek and GLM to be not far behind OpenAI’s most advanced cyber model, which isn’t public.