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.
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.
I mean, what it’s probably actually doing is recreating a similarly named method from it’s training data. If copilot could do all of that reasoning, it might be actually worth using 🙃
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.
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.
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.
Turns out GIGO still applies but nobody told the machines.
It applies but we decided to ignore it and just hope things work out
Thr machines know, they just don’t understand what’s garbage vs what’s less common but more correct.
More likely it pulled that but directly from other salary calculating code.
I mean, what it’s probably actually doing is recreating a similarly named method from it’s training data. If copilot could do all of that reasoning, it might be actually worth using 🙃
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.