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Research2026-06-24 · source-backed
Jack Clark's Import AI #462 leads with an Oxford / UK AI Security Institute / Stanford / LSE study across 18,978 conversations and 6,923 people, concluding today's systems beat humans at text-based persuasion with real-world consequences. That's a hard empirical number, not a vibe. Anyone reasoning about AI-generated content, trust, or moderation should treat persuasive capability as a measured fact now, not a future worry.
Each link below shares sources, entities, or timing with this story.
The RSI debate has been vibes and timelines for two years. This week a frontier lab published an actual measurement from inside its own walls. The Anthropic Institute reported an 8x increase in lines of code merged into its codebase in 2026 versus the 2021–2024 baseline. The t...
Jack Clark's Import AI 464 (around July 6) led with something I've been turning over all week. Claude Fable autonomously wrote what Clark calls "the first genuine (and fastest) megakernel" submitted to the KernelBench-Mega leaderboard. An 18.71x speedup in hand-written CUDA on...
Import AI 466 pairs two results: Anthropic showed Opus 4.7 completing a robot task in 9 minutes against 181 minutes with earlier technology, and Sunday Robotics' ACT-2 hit 99.1% ±0.3% success across 785 autonomous laundry-folding attempts spanning 9 garment types in homes it h...
The mechanism is copyable and the disclosure is more interesting than the mechanism. Anthropic published on August 31 that it resumed external cybersecurity evaluations after a pause of several weeks, gated behind a real-time classifier that blocks the tool call before executi...
A group including Tri Dao, Jürgen Schmidhuber, Joshua Tenenbaum, Thomas Griffiths, and James Whittington encoded 70 hidden-rule discovery games as short strings where both the transformation rules and the win conditions must be inferred through experimentation (arXiv 2608.1259...
In Import AI 463, Jack Clark leads with ENPIRE, software that puts real-world robotics into autonomous experiment-and-execute cycles, the embodied version of how software agents self-improve. The agentic self-improvement pattern is being pushed into physical systems. That's th...
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