Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye

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Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe.Subscribe nowAI is accelerating some types of progress but not others:…A nice METR study lays out where acceleration is showing up…Here’s a little analysis from METR which looks at where AI may be accelerating different types of science and technology. The study looks at three different areas: cyber, math, and AI research, and finds that AI has contributed a lot to cyber, a little bit to math, and it’s hard to say for AI.Where have LLMs actually made a difference to scientific discovery?Cyber vulnerabilities: Major acceleration. “The rate of vulnerabilities reported across many projects has dramatically accelerated in 2026 compared with 2025, both for specific projects (cURL, OpenSSL, Firefox, and Microsoft) and for aggregate vulnerability databases (the US NVD, and OSV)”.Mathematics research: Minor acceleration, but harder to measure. “AI is clearly contributing to more work being done (arXiv submissions have doubled in some areas in less than 12 months) but quantifying the value of those contributions is difficult.” Some math problems from prestigious lists have been solved, e.g., “the Jacobian conjecture from Smale’s list, Problem 44 from Green’s list (the halving sieve), and the sofic half of Green’s Problem 100”. However, it may be too early to determine how sustained a trend this is.Optimization of AI research: No measurable acceleration. When you look at algorithmic progress across seven significant …

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