"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis cover image

Scaling "Thinking": Gemini 2.5 Tech Lead Jack Rae on Reasoning, Long Context, & the Path to AGI

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Navigating AI Reasoning and Interpretability

This chapter explores the complexities of human reasoning and its implications for artificial intelligence models, focusing on the challenges of capturing thought processes accurately. It discusses the balance between pre-training and post-training phases in model development, emphasizing the need for models to evolve their capabilities through reinforcement learning. The conversation also addresses the critical issue of interpretability in AI, highlighting the significance of understanding decision-making processes as AI technologies increasingly operate in vital sectors.

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