Jack Clark moves self-improving AI prediction to 2027
The Decoder: Anthropic co-founder Jack Clark moves his prediction for self-improving AI forward to 2027
A new benchmark by P-Zero Research measures how well AI models design and evaluate experiments on their own. The results are improving so fast that Anthropic co-founder Jack Clark now thinks self-improving AI could arrive by 2027. The article Anthropic co-founder Jack Clark moves his prediction for self-improving AI forward to 2027 appeared first on The Decoder.
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A new benchmark called TasteVal measures how well AI systems can design and interpret scientific experiments on their own. The benchmark shows that leading AI models have roughly doubled their capability in this area every three months since late 2025, and the top model outperformed a group of human experts while using less than half the compute. An Anthropic co-founder cited this progress as reason to move his prediction for recursive self-improvement, where AI systems develop their own successors, forward from 2028 to 2027. This matters because skeptics had specifically identified the ability to plan and evaluate experiments as a barrier to major AI breakthroughs, so this benchmark directly addresses a capability that was thought to be far away.
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