Extropic founder @beffjezos predicts 1000X more efficient AI inference could have a multi-trillion-dollar impact on the economy: "It shows it's possible to create arbitrarily scalable models on a new hardware substrate. We released our first results about a year ago, and it was MNIST, which is the very early days. It's the '80s of machine learning." "Today we have models that are GPT-2 level that can run on our hardware. Algorithmic progress is blazing fast." "If we can get to 1000x greater energy efficiency for inference sooner rather than later, that changes the whole world. That has a multi-trillion dollar impact on the economy." "Even if you're new to machine learning, you can vibe code this. You can use auto research. This is a whole new territory that's barely explored. It's just been a couple of our scientists." @extropic