JB Rubinovitz

Dear skeptics of multi-provider AI workflows: the world is about to start looking very strange to you. Specifically, you'll start seeing a lot of math results coming out from independent researchers and groups using models from two or more frontier providers collaborating on the same project, because you can get much better performance that way, compared to using a single provider. After math, other fields will follow, starting with basic physics and materials science. For each field, first you'll see hype from single-agent and multi-agent teams from a single provider, like a swarm of Claudes or a swarm of GPTs. But the then you'll start seeing better results, at least per dollar, coming from independent teams using models from multiple provders in combination. These multi-provider breakthroughs won't be advertised as heavily, because no single frontier lab will pay for the marketing. But if you watch for who outside frontier labs is able to crank out impressive results, *without* billion dollar budgets, you'll start to see the pattern. To many, this multi-provider advantage is obvious in advance, e.g., if you read and grokked my ARCHES report from 2020. Sorry if this post was boring for you! But if this is *not* yet obvious to you, and especially if you're skeptical, you should probably start updating how you think about intelligence.