this post was submitted on 28 Jan 2025
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About as open source as a binary blob without the training data (slrpnk.net)
submitted 3 months ago by [email protected] to c/[email protected]
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Office space meme:

"If y'all could stop calling an LLM "open source" just because they published the weights... that would be great."

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[–] [email protected] 14 points 3 months ago (3 children)

Arguably they are a new type of software, which is why the old categories do not align perfectly. Instead of arguing over how to best gatekeep the old name, we need a new classification system.

[–] [email protected] 5 points 3 months ago* (last edited 3 months ago) (1 children)

There were e|forts. Facebook didn't like those. (Since their models wouldn't be considered open source anymore)

[–] [email protected] 4 points 3 months ago

I don't care what Facebook likes or doesn't like. The OSS community is us.

[–] [email protected] 4 points 3 months ago

... Statistical engines are older than personal computers, with the first statistical package developed in 1957. And AI professionals would have called them trained models. The interpreter is code, the weights are not. We have had terms for these things for ages.

[–] [email protected] 1 points 3 months ago (1 children)

Is it even really software, or just a datablob with a dedicated interpreter?

[–] [email protected] 3 points 3 months ago* (last edited 3 months ago) (2 children)

Isn't all software just data plus algorithms?

[–] [email protected] 1 points 3 months ago (1 children)

Well, yes, but usually it's the code that's the main deal, and the part that's open, and the data is what you do with it. Here, the training weights seem to be "it", so to speak.

[–] [email protected] 1 points 2 months ago

The weights are the (rough) equivalent of a binary. If anything this is shareware more than it’s open source.

[–] [email protected] 1 points 2 months ago

Yes. The algorithms are hard wired into the processor, and the rest is all data.