what's the core question deAI faces? imo, it's perfectly captured by @PonderingDurian: "do the benefits of low-cost latent compute at the infra layer, open source compounding at the model layer, and creativity at the application layer ultimately outweigh the costs of orchestration which the big labs mitigate by bringing everything under the roof of a single company?" the answer depends on how you weigh immediate friction vs longterm leverage. big labs are betting that orchestration costs are so painful that people will pay premium prices to avoid them. they're probably right, in the short term. but once orchestration is solved (breakthroughs by @PluralisHQ, @NousResearch, & @PrimeIntellect are making me more confident this will happen), open ecosystems can unleash collective intelligence at a speed + scale that no centralized lab can match. this is where decentralized AI wins.