Measurements for understanding the pace of AI development inside frontier labs \ Anthropic

kept by eddie sep 18

Anthropic unveils three metrics—AI-led R&D share (26%), agent oversight coverage (100%), and safety compute share (6%)—to increase transparency in frontier AI development.

How far behind are open models? — LessWrong
Open models lag behind closed frontier models by 8–10 months on private benchmarks and 4–6 months on public, with the gap growing since DeepSeek R1.
also on Epoch AI, METR, #ai-research, Claude, #ai
On Recursive Self-Improvement (Part I) - by Dean W. Ball
Frontier AI labs are automating research to create vast AI workforces that self-improve, radically accelerating capability growth by 2026.
also on Epoch AI, Dario Amodei, #ai-research, #software-engineering
dario, please! - POP RDI; RET;
The article criticizes Dario Amodei's proposal to regulate open-weight models and grant antitrust waivers as a self-serving power grab by frontier labs, not genuine risk mitigation.
also on METR, Dario Amodei, #ai-safety, Claude, Anthropic
Something Big Is Happening — matt shumer
Matt Shumer argues that frontier AI models released in early 2026 can autonomously build software and are on track to eliminate most white-collar knowledge work within a few years.
also on METR, Dario Amodei, Claude, Anthropic, #automation, #software-engineering, #ai
Exclusive | Anthropic Researcher Jacob Coxon Quits Over ‘Out-of-Control’ AI Fears - WSJ
Anthropic researcher Jacob Coxon resigns, warning that the industry's rush toward self‑improving AI could lead to uncontrollable systems within a year.
also on Dario Amodei, #ai-safety, #ai-research, Anthropic, #ai