432
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 21 Jul 2023
432 points (95.8% liked)
Technology
34092 readers
206 users here now
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed
founded 5 years ago
MODERATORS
Can it still solve programming problems?
It can probably still write boilerplate code, but I wouldn't currently trust it for algorithmic design.
I've tried to use it for debugging by copying code into it, and it gives me the same code back as the corrected version. I was wondering why it's been getting worse
My guess is they've been trying to make it cheaper by decreasing the amount of time it spends on each response or by decreasing the amount of computing power that goes into the instance you're speaking to. Coding and math are products of high-level cognition and arise emergently out of neural networks that are very sophisticated, but take just a bit of power out and the abilities degenerate rapidly.
I also experienced this issue last week. I asked for a specific correction and got unchanged code back. Sometimes it does update, though. Maybe like 50-70% of requests.
Tried basic embedded tasks a week ago: Complete trainwreck.
From using I2C to read out the internal temperature sensor on a Puya F030 (retested with an STM MCU and AVR: same answer but F030 replaced by STM32F103 within the code) to calling the WCH CH32V307 made by STM utilizing ARM M4.
After telling it to not use I2C it gave a different answer. Once more gibberish that looked like code.
What made this entirely embarrassing all a human would need to solve the question would be copy-pasting the question into Google and clicking the first link to the manufacturer example project/code hosted on GitHub.
Today it randomly decided to hide the results from some code that was supposed to be returned from a function. I asked it why it chose to hide the results and it couldn't tell me, it just apologized and then gave me the code without the hide logic. Pretty strange actually since we had been working on the code for half an hour and then all of the sudden it just decided to hide it all on its own.
Yes! I use it at work almost every day. Sometimes it takes longer to get it to solve the problem than it would have taken me to write it, since it makes mistakes, but sometimes it saves me hours of coding and thinking. It is very helpful in debugging error codes and stuff like that since it can evaluate an entire 1000 line script file in half a second.
I've never been able to get a solution that was even remotely correct. Granted, most of the times I ask ChatGPT is when I'm having a hard time solving it myself.
You need to be able to clearly describe the problem, and your expected solution, to get it to give quality answers. Type out instructions for it like you would type for a junior developer. It'll give you senior level code back, but it absolutely needs clear and constrained guidelines.
I mostly agree, I've had good results with similar prompts, but there's usually some mistake in there. It seems particularly bad with python imports, it just uses class A, B, C and imports class A, B and X and calls it a day.
Here are a few prompts that gave pretty good results:
For this one, it ignored the method I asked it to use -- but it was possibly correct in doing so, as it doesn't support arbitrary sizes (but I think that's only for the request?):
It should have told me why it ignored using TransactNamedPipe, but when I told it that it ignored my request it explained why.