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Lol... I noticed it does weird stuff sometimes. I'll see it generate a python script inline on the CLI to edit files. Like... Yo what the fuck? It literally used the edit tool until 5 turn ago.

Also, it'll run a formatter, read, edit to undo auto formatting and then continue on its merry way. What is the point of that??? Lol


I’ve seen Claude write a one line Perl script to pull items from a json file.

The achievements of thousands of of agents vibe coding in parallel. Marvellous, simply marvellous. And the news fearmonger how AI will replace jobs. Lol


I'm 99% sure my old boss was pasting Slack messages in and out of ChatGPT. Some people are feral with this AI bullshit


Yes, but if chokemegently420 on some random sub Reddit gave them that advice, nobody would be the wiser. It's not like ChatGPT is a certified clinician


Why would they believe that when AI is smarter than any human and is going to replace doctors and themselves?

If it isn't going to replace doctors, why is ChatGPT giving medical advice at all, especially deadly medical advice?


What?

It's an algorithm (albeit an expensive one) designed to produce engaging output. It's not a doctor, it's definitely not more capable than experts in their fields. It's not replacing anyone, same way pocket calculators didn't replace people 50 years ago.

Unless you're being sarcastic because of all the fearmongering in news? In that case, the joke went over my head lol


Don't you lose really users by making it easy for bots to complete a sign up, but hard for humans?


Maybe 5 required fields and 30 optional fields. Apart from "census dweebs" [1] I don't know of many people that fill in more than the required.

[1]: https://thebeaverton.com/2026/05/local-nerd-disappointed-he-...


I'm not familiar with the specific example, but as a first hunch, if I had to implement such a system, it'd be part of the flow after the successful signup, not during.


You could also pretend to pass-through and watch the behavior of the "user" after success.


It's not much to go on by, but I kinda feel ya. I think one exception I'd perhaps make is doing a large mechanic refactor. I find them incredibly daunting. So, I'll just ask AI for that. I mean it probably takes me a similar time to do, but it feels less daunting.

I've been trying to get into agentic coding and there are non-refactoring instances where I might reac for it (like any time I need to work on something using tailwind; I'm dyslexic and I'd get actual headaches, not exaggerating, trying to decipher Tailwind gibberish while juggling their docs before AIs came around)


I use Jetbrains features for that usually, it has great tools for that.

Lets say on that JSON API I want to extract part of the logic in a repositiory file i CTRL + W the function then I have almost all of my shortcuts with left alt + two character shortcuts. So once marked i do LAlt + E + M for Extract Method then it puts me in a step in between to rename the function and then LAlt + M+V for MoVe and then it puts me in an interface to name the function.

Once you used to it its like a gamer doing APMS and its deterministic and fast. I also have R+N (rename), G+V (generate vitest) Q+C(query console), Q+H(Query history) and many more. Really useful. Probably also doable with other editors.


I highly recommend looking into codemods for larger mechanical refactorings. I did things like converting large test suites from one testing library to another by having codex write a codemod to convert it as a first pass.


If I'm very tired (after I had insomnia for two or so days) I have mild hallucinations, and they're pretty boring/benign. But mine are more auditory than visual.

This isn't unusual when people are sleep deprived though. I think lots of people just don't realise they are hallucinating in that state


"Be gay; do crimes" has a new twist


The thing is, the development timeline is so compressed that you lose intimate knowledge of the codebase. Like, I don't think humans can form memories that detailed that quickly? Maybe it's just a me problem though. Anyway, so when you need to debug or fix stuff, AI's reasoning will be "welp makes sense, I suppose" and your mental mood of the codebase is now slippery. Eventually there comes a time where at best you can draw an incoherent high-level diagram of the architecture.

And AIs solution to problem is generally "more of the same" to fix it. It rarely looks at fixing design problems


Memory _is_ data at the level Rust works. It just has a few abstractions in the stdlib that hide this. And the code you highlighted is taking steps in the "let's add abstraction" direction


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