Compute Investment Drives Efficiency Optimization
_aidan_clark_ · x · 2026-07-16
This post pushes back against the notion that scaling skeptics are entirely right, arguing that Silicon Valley's massive multi-billion dollar investments in supercomputers inherently drive a strong incentive to optimize system efficiency rather than waste compute.
The author suggests that claims about large models hitting diminishing marginal returns are likely premature. Drawing a parallel to early criticisms that ChatGPT was "bad at math," the post implies that people consistently underestimate the trajectory of AI capabilities.
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