Just reading the headline, I say good.
A) These models are trained by ignoring IP. It is hypocritical and absurd to then try to assert IP over them. And I am for the destruction of IP on all ends.
B) What this essentially means is that the Chinese labs are taking the work of these mega corporations into making it freely accessible to other labs and businesses, to serve inference, fine tune, and host privately on prem. That's clearly a good thing for competition in the market as a whole.
C) I don't see why we should have to duplicate the massive energy and infrastructure investment of building foundation models over and over forever just because we want to preserve the IP rights of a few companies. That seems a shame and it seems better to me for everything to learn from everything else for the whole ecosystem to get better by topping each other and building off each other; that's also why publishing research into the architecture and training of these models is so much better than what the proprietary labs do (keeping everything a secret), although tbf Anthropic's interpretability research is cool.
D) these Chinese models give 90% of the performance of frontier proprietary models at a 10th or 20th of the cost. That seems like a win for everyone. Not to mention the fact that this distilling also allows them to make much smaller local models that everyone can run. This is a win for actual democratization, decentralization, and accessibility for the little guy.
A) These models are trained by ignoring IP. It is hypocritical and absurd to then try to assert IP over them. And I am for the destruction of IP on all ends.
B) What this essentially means is that the Chinese labs are taking the work of these mega corporations into making it freely accessible to other labs and businesses, to serve inference, fine tune, and host privately on prem. That's clearly a good thing for competition in the market as a whole.
C) I don't see why we should have to duplicate the massive energy and infrastructure investment of building foundation models over and over forever just because we want to preserve the IP rights of a few companies. That seems a shame and it seems better to me for everything to learn from everything else for the whole ecosystem to get better by topping each other and building off each other; that's also why publishing research into the architecture and training of these models is so much better than what the proprietary labs do (keeping everything a secret), although tbf Anthropic's interpretability research is cool.
D) these Chinese models give 90% of the performance of frontier proprietary models at a 10th or 20th of the cost. That seems like a win for everyone. Not to mention the fact that this distilling also allows them to make much smaller local models that everyone can run. This is a win for actual democratization, decentralization, and accessibility for the little guy.