this post was submitted on 21 Jan 2026
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Workers should learn AI skills and companies should use it because it's a "cognitive amplifier," claims Satya Nadella.

in other words please help us, use our AI

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[–] ViatorOmnium@piefed.social 24 points 3 hours ago (2 children)

menial tasks that are important such as unit test coverage

This is one of the cases where AI is worse. LLMs will generate the tests based on how the code works and not how it is supposed to work. Granted lots of mediocre engineers also use the "freeze the results" method for meaningless test coverage, but at least human beings have ability to reflect on what the hell they are doing at some point.

[–] Buddahriffic@lemmy.world 1 points 1 minute ago

You could have it write unit tests as black box tests, where you only give it access to the function signature. Though even then, it still needs to understand what the test results should be, which will vary from case to case.

[–] JoeBigelow@lemmy.ca 0 points 2 hours ago

I think machine learning has a vast potential in this area, specifically things like running iterative tests in a laboratory, or parsing very large data sets. But a fuckin LLM is not the solution. It makes a nice translation layer, so I don't need to speak and understand bleep bloop and can tell it what I want in plain language. But after that LLM seems useless to me outside of fancy search uses. It's should be the initial processing layer to figure out what type of actual AI (ML) to utilize to accomplish the task. I just want an automator that I can direct in plain language, why is that not what's happening? I know that I don't know enough to have an opinion but I do anyway!