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[-] brucethemoose@lemmy.world 1 points 19 hours ago* (last edited 19 hours ago)

Then you have me pegged wrong. I’ve been running local LLMs since 2022.

But this is what ChatGPT likely does, under the hood:

  • When you ask it for recipes, it goes to Google and searches for them.

  • It dumps the top results into its context… the same SEO spam you are using your chat to avoid, I’d presume.

  • It then averages that with its own amalgamated knowledge to “improvise” a recipe. It’s not thinking through the logic and physics of cooking or referencing a cookbook, it’s just taking a guess at what sounds like a plausible recipe written out.

  • On top of that, line by line, every measurement, every ingredient, every step is also pseudo randomized; there’s a chance it may pick 8 oz for some ingredient, or 16 oz of another. It’s a roll of the dice. That’s how LLM sampling works.

  • Outside the thinking block, it also has no way to go back and correct itself if one of those randomized measurements it’s obviously wrong; it just goes with it, like an improv actor.

So…That’s just a computer randomized recipe.

It may work, it’s not bad necessarily, but you have no idea if it’ll work or not until you assess it and try it yourself.

So what’s the point?

What’s the reason for doing it?

There’s no advantage over a real cookbook, where at least the actual recipe has been assembled, eaten, and enjoyed enough to be deemed worthy of inclusion by the author. ChatGPT does no such thing unless it finds real cookbooks to reference.


Now, if you feed it real cookbooks into the context (or use some built in feature that does so), and ask it “pick me a recipe I would like. Modify it.”

That’s fine!

That’s right up an LLM’s alley.

But you can’t feed it SEO spam and expect something good out. Garbage in, garbage out is the term data scientists use.

This is what I try to emphasize every time I talk about LLMs. They have to be machines you understand the inputs and outputs of, not a black box you can trust to give you reliable info when you don’t know how it gets it.


On a separate note, I really, really hate OpenAI. I think they are a pyramid scheme.

I always suggest using literally any LLM but ChatGPT. Literally any one. Ideally an open weights one, but please, just not ChatGPT for so many reasons…

[-] bridgeenjoyer@sh.itjust.works 4 points 17 hours ago

Not sure why you're getting the downvotes. Your comment is educated and makes sense. I'm still against the use of LLM's based on the fact they are pure theft, owned by billionaires, and destroying the earth, but I do agree, at least use it correctly and use the correct tool. If all information was paid for, all data centers owned by the public, completely transparent on the info they contain, and ran completely on renewable energy, there'd be nothing really wrong with the tech (other than creating slop that destroyed the internet and eroded trust in everything, which is a massive downside).

[-] brucethemoose@lemmy.world 3 points 17 hours ago* (last edited 16 hours ago)

All true.

… Though I’m personally more forgiving Apache-licensed, open weights models trained on peanuts.

Ripping out the commercial aspect and intensity of training nullifies out a whole lot of issues, just like open source code does, even if the models are still problematic (just like a lot of open source code/projects are problematic).

I’m also of the opinion that massive LLM proliferation exacerbated the cracks in internet and institutions that were already there. They were already in trouble, but all this just made it glaringly obvious.

this post was submitted on 10 Aug 2026
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