Dwarkesh Patel's Compute Repricing Thesis Hits Hacker News: Revenue Compounding at 10x Against Capacity at 3x
Patel's essay decomposes frontier compute growth through 2030 into roughly 3x per year (1.4x from Moore's Law, 1.2x from new fabs, 1.8x from AI capturing leading-edge wafer allocation from other devices), against leading-lab revenue tracking 10x growth, and argues price is the obvious release valve for a 10-to-15x inference repricing. His anchor figure: an H100 running a human-level software engineer at market labor rates would justify $250K per year in rent, about 15x the current spot price. The essay was published July 29 but did not reach Hacker News until August 2, where it ran 179 points and 140 comments in its first hours, and it is the direct counterweight to the prevailing builder assumption that per-token cost only ever falls.
Source
↳ Follow the thread