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#459 – DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters

Lex Fridman Podcast

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Navigating AI Censorship and Alignment

This chapter examines the complexities of model censorship and information alignment in AI systems, focusing on real-world examples like the Gemini model. It discusses the impact of biases in training data and the methods employed to enhance model behaviors through reinforcement learning from human feedback (RLHF). Additionally, it considers the future of AI learning processes and the potential of multimodal models to improve reasoning and adapt to various domains.

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