When I can train the ai on my own in the same way I can compile a program (yes I understand the huge difference in computing power necessary, that’s not what I’m talking about) then I’ll consider it equivalent.
As far as I’m concerned open weights are effectively compiled code. I can technically modify it, but I cannot rearrange the base components that were used to create it.
Even AI developers themselves cannot train AI in the same way as one compiles a program. Storing all the necessary data is just not feasible. To achieve results comparable to modern flagship models, one needs to obtain data in real time, use large amounts of generated data that is deleted after single use.
And the training algorithm itself is not deterministic.
And I still fail to see how this is any different from requiring a git commit history. There is an algorithm present - that’s it. It has no other forms in which it can be presented.
When I can train the ai on my own in the same way I can compile a program (yes I understand the huge difference in computing power necessary, that’s not what I’m talking about) then I’ll consider it equivalent.
As far as I’m concerned open weights are effectively compiled code. I can technically modify it, but I cannot rearrange the base components that were used to create it.
Even AI developers themselves cannot train AI in the same way as one compiles a program. Storing all the necessary data is just not feasible. To achieve results comparable to modern flagship models, one needs to obtain data in real time, use large amounts of generated data that is deleted after single use. And the training algorithm itself is not deterministic.
And I still fail to see how this is any different from requiring a git commit history. There is an algorithm present - that’s it. It has no other forms in which it can be presented.