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Interfacing with AI, with Linus Lee of Notion
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
Exploring the Evolution of AI Reasoning Abilities
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This chapter delves into the scale of models used, concerns about upgrading core models for relevant investigations, training frontier models for interpretability work, different categories of facts associated with neural networks and transformers, and the evolution of interpretability in vision models. The discussion also touches on the challenges of transitioning from memorization to true reasoning in transformer models, the role of training data in enhancing models' reasoning abilities, and the desire for AI models to progress in reducing hallucinations and enhancing reasoning capabilities.
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