- cross-posted to:
- hackernews@lemmy.smeargle.fans
- cross-posted to:
- hackernews@lemmy.smeargle.fans
How stupid do you have to be to believe that only 8% of companies have seen failed AI projects? We can’t manage this consistently with CRUD apps and people think that this number isn’t laughable? Some companies have seen benefits during the LLM craze, but not 92% of them. 34% of companies report that generative AI specifically has been assisting with strategic decision making? What the actual fuck are you talking about?
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I don’t believe you. No one with a brain believes you, and if your board believes what you just wrote on the survey then they should fire you.
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I just don’t bother, under the assumption that I’ll spend more time correcting the mistakes than actually writing the code myself. Maybe that’s faulty, as I haven’t tried it myself (mostly because it’s hard to turn on in my editor, vim).
Nah perfectly fine take. Each their own I say. I would absolutely say that where it is, not bothering with it is completely fine. You aren’t missing all that much really. At the end of the day it might have saved me ten-fifteen minutes here and there. Nothing that’s a tectonic shift in productivity.
Yeah, most of my dev time is spent reading, and I’m a pretty fast typist, so I never bothered.
Maybe I’ll try it eventually. But my boss isn’t a fan anyway, so I’m in no hurry.
It can be useful in explaining concepts you’re unsure about, in regards to the reading part, but you should always verify that information.
But it has helped me understand certain concepts in the past, where I struggled with finding good explanations using a search engine.
Ah, ok. I’m pretty good with concepts (been a dev for 15-ish years), I’m usually searching for specific API usage or syntax, and the official docs are more reliable anyway. So the biggest win would probably be codegen, but that’s also a relatively small part of my job, which is mostly code reviews and planning.
Yeah. I haven’t bothered with it much but the best use I can see of it is just rubber ducking.
Last time I used it was to asked how to change contrast in a numpy image. It said to multiply each channel by contrast. (I don’t even think this is right and it should be
((original value-128) * contrast) + 128)
notoriginal value * contrast
as it suggested), but it did remind me I can just run operations on colour channels.Wait what’s my point again? Oh yeah, don’t trust anyone that can’t tell you what the output is supposed to do.