zlacker

> (1) They can give away the model but sell an API - but they can’t serve a model as cheap as Goog/Msft/Amzn who have better unit economics on their cloud and better pricing on GPUs (plus custom inference chips).

Which has a simple solution, release the model weights with a license which doesn't let anyone to commercially host them (like AGPL-ish) without your permission. That is what Stability.ai does it.

>>treesc+(OP)
But who cares? Like not morally-open-access-sounds-nice but actual impact. Open-access to these models is nice but only commercial enterprises can afford the compute requirements for a massive LLM. So an AGPL type model would just sit on the hard drives of like 30 people who have a hobby to heat their home with GPUs.

>>treesc+(OP)
It's still not clear if model weights are under copyright protection at all.

>>vineya+Kb1
It allows for research to continue, which might eventually benefit everyone. The primary advantage in my mind is giving academy a chance to learn from it and community to build cool stuff on top of it.