this post was submitted on 20 May 2025
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Fuck AI
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What do you think they are useful for? Be aware I'm going to argue against any answer you give with fervor.
There's so many casual examples that LLMs excel at. Learning a second language? Having something that can break down context, provide examples, or have practice conversations with is incredibly helpful and easy with LLMs. There's an endless amount of little things it makes easier and is great at: planning a trip and want a quick itinerary suggestion? Need help running a Dungeons and Dragons campaign? Want something to help you summarize a topic or plan you a basic learning on a topic? There's so many valid helpful uses where is faster or better than current options.
It hallucinates at a percentage that makes it completely unusuable for all of those tasks. If it's strictly inferior to non-LLM solutions for all of these problems then clearly you're better off not using it at all.
You can search up an itinerary for popular tourism locations.
There are platforms, free or paid, that teach you a second language instead of making random shit up.
There are countless DnD campaigns you can find online or tools to make planning them easy.
You can learn that 2+2=4 and not 5, or logic puzzles which are variations of common ones that ChatGPT are incapable of parsing due to its statistical nature, for free from sites like Khan Academy.
ChatGPT is shit, mate. It has no concept of anything, it just generates the next token in a chain of tokens until it produces some garbage which roughly approximates an answer. Why not just get an actual answer 100% accurate to human output from a real person?
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
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.
This is the exact same technology, as if using semantic reasoning will make your argument any stronger
You were supposed to argue with fervor, not make stuff up..
You're wrong, they both use LLMs.
Any research using LLM, not on it, is publishing bullshit.
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
Fine then:
IBM - Not an LLM
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
IBM DeepSearch. But you're half right, the drug I was thinking of was BenevolentAI...using an LLM similar to IBM.
CatBERTa
But nice try. Eat shit, I guess