New episode of The Information Bottleneck with Sara Hooker (@sarahookr) , co-founder and…
This is a AI post classified by Jev as AI research (a free resource), kept by the AI Radar because it carries real work, not commentary.
New episode of The Information Bottleneck with Sara Hooker (@sarahookr) , co-founder and CEO of Adaptation Lab. What comes after scaling? We talked about why today’s models are still mostly static, and what it would take to build AI systems that continuously adapt to new tasks, data, and users. We also get into: • AutoScientist and self-improving AI • Why non-verifiable tasks may be the next bottleneck • Why interfaces may matter as much as models • Open vs. closed models • Distillation and Chinese AI labs • AI safety, cyber risk, and biorisk • What comes after Transformers and tokenization
Posted by Ravid Shwartz Ziv (15k followers) 2 days ago · 19 likes · 2.2k views · view the original post on X. Kept by the AI Radar as AI research.
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