this post was submitted on 26 Nov 2024
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[โ€“] [email protected] 49 points 15 hours ago (3 children)

Seems pretty smart to me. Copilot took all the data out there that says that women earn 80% of what their male counterparts do on average, looked at the function and interred a reasonable guess as the the calculation you might be after.

[โ€“] [email protected] 24 points 12 hours ago* (last edited 9 hours ago) (1 children)

I mean, what it's probably actually doing is recreating a similarly named method from its training data. If copilot could do all of that reasoning, it might be actually worth using ๐Ÿ™ƒ

[โ€“] [email protected] 1 points 2 hours ago

Yeah llms are more suited to standardizing stuff but they are fed low quality buggy or insecure code, instead of taking the time to create data sets that would be more beneficial in the long run.

[โ€“] [email protected] 17 points 13 hours ago (1 children)

That's the whole thing about AI, LLMs and the like, its outputs reflect existing biases of people as a whole, not an idealized version of where we would like the world to be, without specific tweaking or filters to do that. So it will be as biased as what generally available data will be.

[โ€“] [email protected] 8 points 12 hours ago (2 children)

Turns out GIGO still applies but nobody told the machines.

[โ€“] [email protected] 2 points 2 hours ago

It applies but we decided to ignore it and just hope things work out

[โ€“] [email protected] 4 points 11 hours ago

Thr machines know, they just don't understand what's garbage vs what's less common but more correct.

[โ€“] [email protected] 1 points 13 hours ago

More likely it pulled that but directly from other salary calculating code.