The AI Scaling Debate Is Over. Compute Won Every Time.

Añadido: 2026-06-03

[00:00:00]There is this calculation that came out of Open AI. Essentially, it's this idea that is if you have data, compute, and parameters, you can linearly extend the capabilities of a model as much as you just keep on adding on to it. There's some people who pushed back and said, like, "Well, data is most important."

[00:00:16]Those people quickly lost. And then there's some people who said, "Well, no, you know, parameter is more important."

[00:00:21]Those people also have been to loss over time. Compute has still remained that important thing where we're seeing it now. We have a compute shortage happening right now. Where people go like, "Okay, just throw more compute at it."