Better AI code comment detector (entropicthoughts.com)
dcss_gardener 3 hours ago
mermadicsolutio 3 hours ago
bcrosby95 an hour ago
xlayn 3 hours ago
LambdaComplex 3 hours ago
mermadicsolutio 3 hours ago
Developers write plenty of bad code and comments too, trying to detect AI just feels more like treating the symptom than the actual problem.
amelius 3 hours ago
Anyway, I wish the LLMs were trained with a human-text-detector in their training loop. And they can still use a different LLM to produce code and mathematics. However, using the same LLM for both tasks, and we're going to have a hard time understanding what is happening.
fnord77 3 hours ago
I know exactly what you mean and it's fatiguing if you used the tool or whatever for more than a few hours
wren6991 2 hours ago
paimapi 2 hours ago
amelius 2 hours ago
The problem is that Anthropic and others use the text generated by LLMs also to power the AI's internal thinking loop. This means that text is used in two different ways: one as input to AI, and the other as input to humans.
They are always trying to make the LLMs more intelligent. Guess what kind of output will suffer?
pessimizer an hour ago
My entire day is getting praised and apologized to for "holding me to a higher standard" and "pointing out the obvious contradiction." Meanwhile, I'm stuck and can't move forward (because every suggestion is dumb but asserted with the same confidence as the last) and the tokens are draining dry.
When I hear about people converting huge projects to Rust, I'm starting to think that translation is the only thing that they're good at. If you've already entirely specified the problem they can restate the problem without making more than a couple hundred (and getting fewer every day) mistakes.
It's just making it up, and when the things that it is making up are not obvious, it bullshits, it doesn't retrace. Then it builds on that bullshit.
It's not you that's dumb, it's them that are dumb. The people evaluating its output in post-training are also too often deciding that it's they themselves that are misunderstanding, especially when it buries the topic at hand with a bunch of excess verbiage and strange assumptions that they don't have time to independently verify. The need to believe something based on expediency often results in the rationalization that some 3D chess is being played. More like 3 card monte.
mason55 an hour ago
I use AI a lot in my workflow and feel like I get a lot out of it. When I first started, I kept reading code & explanations and thinking "man, I just do not understand this explanation, I guess I'm not as good at this as I thought."
Then I started digging with the AI to have it explain stuff to me and I realized, no, it's the AI that's dumb.
Now when I don't understand something that AI generated I understand it's a great sign that it's wrong.
barbazoo 4 hours ago
> One thing in this comment caught my mind: the small parenthetical that says “the usual case”. If that were true, it would be important information! However, this comment is generated by the llm model Claude, which has no sense of what counts as the usual case in this domain.
That's from the post referenced early on. I think that's the fundamental misunderstanding of what these tools are supposed to be used for. And I'm just as guilty myself at work. The problem isn't that the LLM generated that text, the problem is that a human didn't read it properly and ask what that meant and fix it before pushing.
troupo 3 hours ago
The amount of garbage AI generates quickly overwhelms the human. The whole reason for computers to exist is to remove burden from humans. And yet here we are.
I ended up vibe-coding a comment linter for my projects that catches the garbage and forces the models to rewrite. Just look at this: https://xcancel.com/dmitriid/status/2097632371650552084#m
saejox 3 hours ago
you are not the only one, Pangram and GPTZero also think it is written by a bot.
ai detection may be an unsolvable issue.
EGreg 3 hours ago