this post was submitted on 28 Jan 2025
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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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[–] theacharnian@lemmy.ca 14 points 2 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.

[–] Prunebutt@slrpnk.net 5 points 2 months ago* (last edited 2 months ago) (1 children)

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

[–] theacharnian@lemmy.ca 4 points 2 months ago

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

[–] Poik@pawb.social 4 points 2 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.

[–] Aqarius@lemmy.world 1 points 2 months ago (1 children)

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

[–] theacharnian@lemmy.ca 3 points 2 months ago* (last edited 2 months ago) (2 children)

Isn't all software just data plus algorithms?

[–] Aqarius@lemmy.world 1 points 2 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.

[–] intensely_human@lemm.ee 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.

[–] intensely_human@lemm.ee 1 points 2 months ago

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