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Anthropic, labs, and AI scaling context
Podcast and interview clips referencing Anthropic and lab economics. Source labels flag commentary vs. tutorials — listen to the full segment before citing.
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"anthropic"
Dylan Patel — The single biggest bottleneck to scaling AI compute
0:46
so presumably that's paying for compute that is going to be coming online over the coming years. How should we think about the timeline around when that CapEx comes online? Similar question for the labs. OpenAI just announced they raised $110 billion, and Anthropic just
"a failure of OpenAI's training—where they have the intentions and they haven't met them yet— versus what is something th"
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
2:07:38
developers. So, essentially, you can know what is a failure of OpenAI's training—where they have the intentions and they haven't met them yet— versus what is something that they actually wanted to do and that you don't like.
"ASI, Artificial Superintelligence, and what are the language models that we have today capable of doing"
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
2:39:10
AGI, which is Artificial General Intelligence, and what is ASI, Artificial Superintelligence, and what are the language models that we have today capable of doing? I think the language models can solve a lot
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