this post was submitted on 20 May 2025
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Fuck AI

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[–] [email protected] 0 points 4 days ago (1 children)

I want to be clear I'm not talking about the layman here (though I hear chatgpt is pretty good at creating quizzes based on notes you give it) - actual scientific work is being done with the help of LLMs

A concrete example of this would be www.OpenCatalystProject.com or IBM using it to discover a new COVID drug.

I'd bring up all the machine learning breakthroughs - of which there are likely hundreds - but I'd imagine you'd skewer me as they're not LANGUAGE models (which is fair as I said LLM, not ML).

What you won't hear me defending AI marketed to the masses. Pretty much any value it provides is offset by the things mentioned in the OP. But for science? Hell yeah keep up the good work

[–] [email protected] 7 points 4 days ago* (last edited 4 days ago) (2 children)

You're right those arent fucking LLMs, stick with the program. Everybody else in here is talking about one specific thing and its not research oriented machine learning algorithms. It's bullshit generators.

[–] [email protected] 2 points 4 days ago

This is the exact same technology, as if using semantic reasoning will make your argument any stronger

[–] [email protected] -1 points 4 days ago (1 children)

You were supposed to argue with fervor, not make stuff up..

You're wrong, they both use LLMs.

[–] [email protected] -1 points 4 days ago (1 children)

Any research using LLM, not on it, is publishing bullshit.

[–] [email protected] 0 points 4 days ago (1 children)

Why double down on being wrong? My two examples aren't publishing bullshit.

If OP was only talking about chatgpt and the like, maybe they should have said that instead of lumping all LLMs together??

Either way I think we're done here, a shame you never actually argued with fervor

[–] [email protected] 0 points 4 days ago* (last edited 4 days ago) (1 children)

Fine then:

  1. IBM - Not an LLM

  2. Meta Open Catalyst - Not an LLM

In fact the Open Catalyst in the paper specifically compares it's model to LLMs in that both different models improved with larger datasets (and increased processing power).

Eat shit

[–] [email protected] -1 points 4 days ago
  1. IBM DeepSearch. But you're half right, the drug I was thinking of was BenevolentAI...using an LLM similar to IBM.

  2. CatBERTa

But nice try. Eat shit, I guess