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Jakub Pachocki

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Headlines · 3

  1. Google DeepMind: no measurable acceleration from AI-driven AI research

    Google DeepMind engineer Haydn Belfield says there is no measurable acceleration of AI research driven by AI itself, and self-improving AI remains far off. Automation is already substantial: AI writes over 75 percent of production code, about 88 percent of code changes still need human oversight or review, and fully delegated changes rose from 7.5 to 11.9 percent. Across 1,389 internal Argon agent runs, success without human input dropped sharply as complexity grew, and on the in-house RE-Bench of 74 realistic ML engineering tasks, Argon solves about half versus 27 percent for Gemini 3.7 Flash. A General Capability Index covering 123 models and 92 benchmarks shows Gemini capabilities growing about 0.1 GCI points per month with no significant acceleration; Gemini 4 Argon sits slightly above the trend line, which the team attributes to compute and organizational investment. Belfield rates AI-driven research automation risk as low but is building measurement infrastructure, while over 20 researchers, including Geoffrey Hinton, Yoshua Bengio and OpenAI's Jakub Pachocki, warn of a possible intelligence explosion.

    The Decoder · 🔥 0
  2. Rumor roundup: Google, OpenAI, Anthropic and xAI said to be racing toward RSI

    A Chinese-language article from 新智元, republished by 36Kr and Cyzone, argues that Google, OpenAI, Anthropic and xAI are all racing toward recursive self-improvement (RSI), but attributes most specifics to unnamed people and rumor. It cites Anthropic's "When AI builds itself" account that Claude authored over 80% of its merged internal code as of May and that AI-led development work rose to roughly 26% by August, and says Anthropic is training a next-generation model it calls Fable 6. It repeats unverified claims of a Google launch cadence cut from 125 days to 44 days, an unreleased OpenAI model called Bel, RSI-Exam scores of 0.384 for Grok 4.7 versus 0.53 for Opus 5.5, and the withdrawal of a planned GPT-6.1 Astra release.

    36氪 人工智能 · 🔥 0
  3. Building AI, digging bunkers: Silicon Valley's safety hedge

    This commentary, written by the outlet 摩登AI and republished across several Chinese tech sites, says OpenAI's Sam Altman has argued society must tolerate some AI-related harms — hacking, scams and misuse — while early Anthropic employees are reportedly considering buying remote US land to flee if "AI goes wrong." It also cites Wired's review of planning documents describing an underground shelter of roughly 465 square meters at Mark Zuckerberg's Kauai property. The author criticizes Anthropic for softening its Responsible Scaling Policy into a public roadmap plus external review, with a competitive condition attached, arguing this gives labs a ready excuse to keep accelerating.

    36氪 人工智能 · 🔥 0

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