Are they buying them to try and slow down open source models and protect the massive amounts of money they make from OpenAI, Anthropic, Meta ect? It quite obvious that open source models are catching up to closed source models very fast they about 3-4 months behind right now, and yeah they are trained on Nvidia chips, but as the open source models become more usable, and closer to closed source models they will eat i…
Shy of an algo breakthrough, open source isn't going to catch up with SOTA, their main trick for model improvement is distilling the SOTA models. That's why they they have perpetually been "right behind".
Could you elaborate? How is this done and what does this mean?