Anandkumar: Scientific AI Bottleneck Is Real-World Testing, Not Hypothesis Generation
Anima Anandkumar · 🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech · Aug 26, 2026 · at 4:20
Caltech Professor Anima Anandkumar discusses the limitations of using large language models alone for scientific discovery.
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“Yes, you can do a lot of hypothesis generation. You can have ideas, but ideas are not enough, right? So you can have a lot of ideas. The bottleneck is going, testing, and verifying that they work in the real world.”
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