this post was submitted on 17 May 2024
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[–] [email protected] 6 points 5 months ago

Holy shit. Dunning Kruger is fully engaged in these post comments

[–] [email protected] 32 points 5 months ago (2 children)

it's only going to get worse, especially as datasets deteriorate.

With things like reddit being overrun by AI, and also selling AI training data, i can only imagine what mess that's going to cause.

[–] [email protected] 5 points 5 months ago (1 children)

Hallucinations, like depression, is a multifaceted issue. Training data is only a piece of it. Quantized models, overfitted training models rely on memory at the cost of obviously correct training data. Poorly structured Inferences can confuse a model.

Rest assured, this isn't just training data.

[–] [email protected] 2 points 5 months ago

yeah there's also this stuff as well, though i consider that to be a more technical challenge, rather than a hard limit.

[–] [email protected] 4 points 5 months ago (1 children)

I think you are spot on. I tend to think the problems may begin to outnumber the potentials.

[–] [email protected] 5 points 5 months ago (1 children)

and we haven't even gotten into the problem of what happens when you have no more data to feed it, do you make more? That's an impossible task.

[–] [email protected] 1 points 5 months ago

There's already attempts to create synthetic data to train on

[–] [email protected] 5 points 5 months ago (1 children)

>The verge

Don't take away the hallucinations, how am I supposed to do ERP with the models then?

[–] [email protected] 2 points 5 months ago

You do enterprise resource planning with AI hallucinations?

[–] [email protected] 17 points 5 months ago

Yeah! Just like water's "wetness" problem. It's kinda fundamental to how the tech operates.

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