AI Scaling Laws and Market Structure with Anton Korinek | Markus Academy | Episode 133
Автор: Markus' Academy
Загружено: 2024-11-26
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On Tuesday, November 26, Anton Korinek joined Markus’ Academy for a conversation on AI Scaling Laws and Market Structure. Anton Korinek is a Professor of Economics at the University of Virginia. Introductory remarks by Markus Brunnermeier.
A summary in three bullets:
● The effective computing power employed to train AI models is growing by a factor of 10x per year. Investing has been enabled by AI’s scaling laws, whereby performance improves predictably from additional computing power
● There are concerns that AI models are hitting a “data wall,” but further model improvements could come from synthetic data, more efficient training algorithms, and scaling outside of the training stage
● The LLM market is highly competitive, but high training costs, network effects, and vertical integration between LLM developers and chips manufacturers raise concerns about future market concentration
Timestamps:
[9:47] The AI Scaling laws
[27:48] Snapshot of the AI market
[39:43] Where is this all going?
[47:54] Concentration concerns
[1:04:58] Regulation and conclusion
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