Lots of people struggle to use it. Don’t feel bad. I think to use it correctly, one must first want to use it. After that, it becomes easier.
I recall when ChatGPT first came out, a coworker was criticizing it. I asked for a demonstration, and they just kept gaming it. Just actively trying to make it fail to do things it already struggled to do. I asked them to do something I already knew worked pretty well, and they tried to game again. I asked them to stop gaming it, and they just refused.
Clearly, they were not the target audience for AI. And that’s fine!
What I find is that people who love ai, think it is the greatest thing on earth and can do all things ever better than humans. Then there are the rest of us.
The problem for me personally, is that for my job, there simply isn’t enough information for the AI companies to steal train models on. I do industrial programming. It’s programming with fucking crayons. AI is hilariously wrong every single time I have asked it anything.
Not OP, but I was pretty disappointed trying Claude 4.6
Prompted
Write a C program to find the longest word in a static5x5 arrayof characters.
These characters shall be defined in a header file, you may allocate it withany letters for now
This program should find the longest word, using words available in a file at/usr/share/dict/words
This file will have one word per line
The rules of the longest word are that you may select the next letter inany direction from your current letter onecharacter away, including diagonals
Any index may be the starting point, and you may not repeat a space on the grid
It did a breadth first search for the longest path, then checked if that longest path was a word, rather than checking each step, so it never found any words
When I asked it to fix that, it then opened and reread the entire dictionary for each character
Once I got it to fix that, I asked it to read the input array from a file, and after 30 minutes of asking it in different ways, it never managed to successfully read that file in
All in all, it took longer than just writing it myself, even for what I would call an interview question
In a single prompt I would not expect that specific exercise to produce efficient code, but within a few prompts it should. Certainly less time than it would take someone to write it themselves.
There are always creative ways to squeeze extra performance out of code if you spend enough time on it.
Certainly less time than it would take someone to write it themselves.
I mean, sure - for you and I, who aren’t qualified to write that specific code, maybe we can prompt the electronic idiot to get there. Of course, neither we nor the electroic idiot knows where there is, and at best we will copy in exisitng better code that we should have imported from a library. So we gave up automated updates to avoid reading the manual pages.
In contrast, for domains I’m an expert in, babysitting the electric idiot is always a complete waste of time. I can just call the correct library, the correct way, on the first attempt.
Today’s AI really highlights exisitng technical debt. If there’s already a mountain of it, I can see how the learning model may help wrangle it, and how it may be hard to see the added costs.
Mine worked fine. I didn’t use your prompt cut and paste though. It was inefficient on the first prompt, but it worked, and by the third it was pretty speedy. I used codex 5.5, which imo is better than Claude for the time being.
I’ll be surprised if there is any information to be had. Most people stop at this point because it either never happened or they never actually put any effort into it which is why it failed.
I usually stop at this point because it’s a complete waste of my fucking time. I already know where the relevant sources of information are, and the current AI models have proven themselves to be incapable of distinguishing between firmware versions or subtle differences in model numbers. I try things again every once in a while to see if anything has improved, and so far, no dice.
Lots of people struggle to use it. Don’t feel bad. I think to use it correctly, one must first want to use it. After that, it becomes easier.
I recall when ChatGPT first came out, a coworker was criticizing it. I asked for a demonstration, and they just kept gaming it. Just actively trying to make it fail to do things it already struggled to do. I asked them to do something I already knew worked pretty well, and they tried to game again. I asked them to stop gaming it, and they just refused.
Clearly, they were not the target audience for AI. And that’s fine!
What I find is that people who love ai, think it is the greatest thing on earth and can do all things ever better than humans. Then there are the rest of us.
I guess you don’t know many people.
Probably not…
The problem for me personally, is that for my job, there simply isn’t enough information for the AI companies to
stealtrain models on. I do industrial programming. It’s programming with fucking crayons. AI is hilariously wrong every single time I have asked it anything.Give me an example of what you’ve asked it to do? And, what model and app did you use?
Not OP, but I was pretty disappointed trying Claude 4.6
Prompted
Write a C program to find the longest word in a static 5x5 array of characters. These characters shall be defined in a header file, you may allocate it with any letters for now This program should find the longest word, using words available in a file at /usr/share/dict/words This file will have one word per line The rules of the longest word are that you may select the next letter in any direction from your current letter one character away, including diagonals Any index may be the starting point, and you may not repeat a space on the gridIt did a breadth first search for the longest path, then checked if that longest path was a word, rather than checking each step, so it never found any words
When I asked it to fix that, it then opened and reread the entire dictionary for each character
Once I got it to fix that, I asked it to read the input array from a file, and after 30 minutes of asking it in different ways, it never managed to successfully read that file in
All in all, it took longer than just writing it myself, even for what I would call an interview question
In a single prompt I would not expect that specific exercise to produce efficient code, but within a few prompts it should. Certainly less time than it would take someone to write it themselves.
There are always creative ways to squeeze extra performance out of code if you spend enough time on it.
I mean, sure - for you and I, who aren’t qualified to write that specific code, maybe we can prompt the electronic idiot to get there. Of course, neither we nor the electroic idiot knows where there is, and at best we will copy in exisitng better code that we should have imported from a library. So we gave up automated updates to avoid reading the manual pages.
In contrast, for domains I’m an expert in, babysitting the electric idiot is always a complete waste of time. I can just call the correct library, the correct way, on the first attempt.
Today’s AI really highlights exisitng technical debt. If there’s already a mountain of it, I can see how the learning model may help wrangle it, and how it may be hard to see the added costs.
Aren’t qualified? I mean… I’m qualified. You aren’t?
What “domains” are you an expert in?
If it can’t output ~50 lines of code that is reasonably common from textbooks with one minor modification, I’m not clear what the benefit is
It’s certainly not faster
I already stated I kept prompting it for over 30 minutes and it still hadn’t fully completed the problem
Well, if it took you 30 minutes, it’s not the AI’s fault.
So, it’s the same answer as every other time I’ve tried to talk to people supporting AI…
If it didn’t work, I just I didn’t guide it enough, and if I did guide it, it’s a skill issue…
It is pretty hard to come up with an easier problem for it to solve for an example case
Mine worked fine. I didn’t use your prompt cut and paste though. It was inefficient on the first prompt, but it worked, and by the third it was pretty speedy. I used codex 5.5, which imo is better than Claude for the time being.
Kibblebits wants to make the information known so newer models can train on it and win at life
I’ll be surprised if there is any information to be had. Most people stop at this point because it either never happened or they never actually put any effort into it which is why it failed.
I usually stop at this point because it’s a complete waste of my fucking time. I already know where the relevant sources of information are, and the current AI models have proven themselves to be incapable of distinguishing between firmware versions or subtle differences in model numbers. I try things again every once in a while to see if anything has improved, and so far, no dice.
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