←back to thread

The AI Investment Boom

(www.apricitas.io)
271 points m-hodges | 1 comments | | HN request time: 0s | source
Show context
apwell23 ◴[] No.41896263[source]
> AI products are used ubiquitously to generate code, text, and images, analyze data, automate tasks, enhance online platforms, and much, much, much more—with usage expected only to increase going forward.

Why does every hype article start with this. Personally my copilot usage has gone down while coding. I tried and tried but it always gets lost and starts spitting out subtle bugs that takes me more time to debug than if i had written it myself.

I always have this feeling of 'this might fail in production in unknown ways' because i might have missed checking the code throughly . I know i am not the only one, my coworkers and friends have expressed similar feelings.

I even tried the new 'chain of thought' model, which for some reason seems to be even worse.

replies(10): >>41896295 #>>41896310 #>>41896325 #>>41896327 #>>41896363 #>>41896380 #>>41896400 #>>41896497 #>>41896670 #>>41898703 #
bongodongobob ◴[] No.41896295[source]
Well I have the exact opposite experience. I don't know why people struggle to get good results with llms.
replies(4): >>41896332 #>>41896335 #>>41896492 #>>41897988 #
thuuuomas ◴[] No.41896332[source]
Would you feel comfortable pushing generated code to production unaudited?
replies(2): >>41896359 #>>41896360 #
bongodongobob ◴[] No.41896359[source]
Would you feel comfortable pushing human code to production unaudited?
replies(3): >>41896393 #>>41896438 #>>41904561 #
1. johnnyanmac ◴[] No.41904561[source]
Nope. But AI's sales pitch is that it's an oracle to lean on. Which is part of the problem.

As a start, let me know when an AI can fail test cases, re-iterate on its code to correct the test case, and re-submit. But I suppose that starts to approach AGI territory.