trevor

My use of the word “stealing” is not a condemnation, so substitute it with “borrowing” or “using” if you want. It was already stolen by other tech oligarchs.

You can call the algo open source if the code is available under an OSS license. But the larger project still uses proprietary training data, and therefor the whole model, which requires proprietary training data to function is not open source.

I mean, god bless 'em for stealing already-stolen data from scumfuck tech oligarchs and causing a muti-billion dollar devaluation in the AI bubble. If people could just stop laundering the term “open source”, that’d be great.

You won’t see me on the side of the “debate” that launders language in defense of the owning class ¯_(ツ)_/¯

Yes. That solution would be to not lie about it by calling something that isn’t open source “open source”.

That’s fine if you think the algorithm is the most important thing. I think the training data is equally important, and I’m so frustrated by the bastardization of the meaning of “open source” as it’s applied to LLMs.

It’s like if a normal software product provides a thin wrapper over a proprietary library that you must link against calling their project open source. The wrapper is open, but the actual substance of what provides the functionality isn’t.

It’d be fine if we could just use more honest language like “open weight”, but “open source” means something different.

The training data is the important piece, and if that’s not open, then it’s not open source.

I don’t want the data to avoid using the official one. I want the data so that so that I can reproduce the model. Without the training data, you can’t reproduce the model, and if you can’t do that, it’s not open source.

The idea that a normal person can scrape the same amount and quality of data that any company or government can, and tune the weights enough to recreate the model is absurd.

I’m not seeing the training data here… so it looks like the answer is yes, it’s not actually open source.

Is it actually open source, or are we using the fake definition of “open source AI” that the OSI has massaged into being so corpo-friendly that the training data itself can be kept a secret?

Has anyone here tried Rust dev on Haiku OS? I love these “niche” OSes, and it’d be cool to write some utilities for it. I assume that a lot of the syscalls might be completely different, so it’d be more challenging as well?