Lex Fridman Podcast
#459 – DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters
Dylan Patel
So it doesn't... The space of language and the space of tokens, whether you're generating language or tasks for a robot, is so big that you might say that it's like... I mean, the tokenizer for a language model can be like 200,000 things. So at each step, it can sample from that big of a space. So if it... can generate a bit of a signal that it can climb onto.
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