Frontier AI is an industrial process, not just software

Leopold AschenbrennerLeopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of historyat 2:00

From the conversation

I should mention this for the context of the podcast. Today you’re releasing a series called Situational Awareness. We’re going to get into it. First question about that is, tell me about the trillion-dollar cluster. Unlike most things that have recently come out of Silicon Valley, AI is an industrial process. The next model doesn’t just require some code. It’s building a giant new cluster. It’s building giant new power plants. Pretty soon, it’s going to involve building giant new fabs. Since ChatGPT, this extraordinary techno-capital acceleration has been set into motion. Exactly a year ago today, Nvidia had their first blockbuster earnings call. It went up 25% after hours and everyone was like, "oh my God, AI is a thing." Within a year, Nvidia data center revenue has gone from a few billion a quarter to $25 billion a quarter and continues to go up. Big Tech capex is skyrocketing. It’s funny. There’s this crazy scramble going on, but in some sense it’s just the continuation of straight lines on a graph. There’s this long-run trend of almost a decade of training compute for the largest AI systems growing by about half an order of magnitude, 0.5 OOMs a year. Just play that forward. GPT-4 was reported to have finished pre-training in 2022. On SemiAnalysis, it was rumored to have a cluster size of about 25,000 A100s. That’s roughly a $500 million cluster. Very roughly, it’s 10 megawatts. Just play that forward half a year.…

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Summary

AI development at the frontier is fundamentally an industrial process, not merely a software endeavor. Training the next generation of models requires building massive compute clusters, new power plants, and eventually new chip fabrication facilities. Since ChatGPT's release, a large-scale techno-capital acceleration has been set in motion to provision these physical inputs.

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