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51 points

Can we fucking stop anthropomorphising software?

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76 points

“Hallucinate” is the standard term used to explain the GenAI models coming up with untrue statements

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24 points
*

in terms of communication utility, it’s also a very accurate term.

when WE hallucinate, it’s because our internal predictive models are flying off the rails filling in the blanks based on assumptions rather than referencing concrete sensory information and generating results that conflict with reality.

when AIs hallucinate, it’s due to its predictive model generating results that do not align with reality because it instead flew off the rails presuming what was calculated to be likely to exist rather than referencing positively certain information.

it’s the same song, but played on a different instrument.

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5 points

when WE hallucinate, it’s because our internal predictive models are flying off the rails filling in the blanks based on assumptions rather than referencing concrete sensory information and generating results that conflict with reality.

Is it really? You make it sound like this is a proven fact.

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2 points

I think a more accurate term would be confabulate based on your explanation.

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-12 points

They don’t come up with any statements, they generate data extrapolating other data.

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16 points

So just like human brains?

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-38 points

What standard is that? I’d like a reference.

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19 points
12 points
*

Where have you been in the last two years, brah?

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12 points

No?

An anthropomorphic model of the software, wherein you can articulate things like “the software is making up packages”, or “the software mistakenly thinks these packages ought to exist”, is the right level of abstraction for usefully reasoning about software like this. Using that model, you can make predictions about what will happen when you run the software, and you can take actions that will lead to the outcomes you want occurring more often when you run the software.

If you try to explain what is going on without these concepts, you’re left saying something like “the wrong token is being sampled because the probability of the right one is too low because of several thousand neural network weights being slightly off of where they would have to be to make the right one come out consistently”. Which is true, but not useful.

The anthropomorphic approach suggests stuff like “yell at the software in all caps to only use python packages that really exist”, and that sort of approach has been found to be effective in practice.

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2 points

Woops sorry mate, too late.

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0 points

Here is an alternative Piped link(s):

too late

Piped is a privacy-respecting open-source alternative frontend to YouTube.

I’m open-source; check me out at GitHub.

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