It's already being trained on "public" (ethical or otherwise) data. So, it already has ingested that kind of "optimization" during pre-training and training.

I don't think you can fine-tune your way out of it.

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fsflover 2 hours ago | parent | next [-]

This is far from widespread at the moment, so it'll be possible to at least use the current cutting-edge models locally in the future.

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bayindirh 2 hours ago | parent [-]

Far from widespread? SEO has seeped to all crevices of the internet for the last 20 years.

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fsflover an hour ago | parent [-]

By this measure, any information you can get whatsoever is biased and there is no reason to trust anything at all.

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latexr an hour ago | parent [-]

The major difference is that right now when you land on a page you can do your due diligence and decide if you trust the source. You can still be tricked, but it’s harder and you can get better at the detection.

With LLMs, everything is given the same importance so you have no idea if the data came from a reputable source or an obvious SEO junk website.

	▲	fsflover 26 minutes ago \| parent [-]
		AI can also provide the sources. And if you need to be certain, you should ask for that.

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ToucanLoucan 2 hours ago | parent | prev [-]

People still think these things are smart. That if their word generator eats enough of the Internet, it will somehow give them the real information that's otherwise hidden. Or perhaps a better word; filter the bullshit.

To filter bullshit it would first have to understand bullshit, and it doesn't. That's why an LLM will tell you the solution to a problem that doesn't work, and argue with you when you correct it.

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bayindirh 2 hours ago | parent [-]

This is what bothers me a lot. For the people who doesn't know how it's made or want to believe, it's a miracle.

For me, it's a resource wasting text generator. I'll not lie, I don't use OpenAI, Mistral or Anthropic's models, even for coding. I prefer to read my API docs and cry once.

I used Gemini, five or six times in total. Twice I asked a couple of very specific things, and it unearthed them. Since they were not products, but information, that was helpful. Twice, it has given wrong information. When I "told" it, there was another way, it said "of course there are two ways", etc. Tasteless and time wasting.

I don't like using an LLM all day long, or offload my thinking to them. It's the ultimate self-poisoning incident.

And as you say, these algorithms can't know right/wrong/logical/bullshit, etc. They just spew out text.

	▲	latexr 41 minutes ago \| parent [-]
		Something I’ve also seen multiple times is an LLM giving wrong information, I tell it it’s not right, then it tells me I’m “absolutely right” and it provides the exact same answer and tells me that one will work.