Automating AI Research
The article argues that based on public data, there is a >60% chance of human-free AI R&D by end of 2028, where AI systems autonomously build their successors. Evidence from benchmarks like SWE-Bench, METR, CORE-Bench, MLE-Bench, and others shows rapid progress in coding, scientific skills, and meta-skills. The author discusses implications for alignment, economic productivity, and the rise of a machine economy.
Automating AI Research
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