if the frontier models are commoditized, compute concentration matters even more if you can train better models for fewer flops, compute concentration matters even more compute is the primary means of production of the future and owning more will always be good

I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed in AI. You may not always be utilizing it fully but I would never bet against compute as the upper bound for achievable intelligence in the long run. Not just for an individual final training run, but also for the entire innovation / experimentation engine that silently underlies all the algorithmic innovations.

i cant believe ChatGPT lost its job to AI