There are a lot of people who don't know stuff. Nothing wrong with that. He says in his video "I love Google, I use all the products. But I was never expecting for all the smart engineers and all the billions that they spent to create such a product to allow that to happen. Even if there was a 1% chance, this seems unbelievable to me" and for the average person, I honestly don't see how you can blame them for believing that.

Yup, 100%. A lot of the comments here are "people should know better" - but in fairness to the people doing stupid things, they're being encouraged by the likes of Google, ChatGPT, Anthropic etc, to think of letting a indeterminate program run free on your hard drive as "not a stupid thing".

The amount of stupid things I've done, especially early on in programming, because tech-companies, thought-leaders etc suggested they where not stupid, is much large than I'd admit.

> So basically a consumer with no idea of anything.

Not knowing is sort of the purpose of AI. It's doing the 'intelligent' part for you. If we need to know it's because the AI is currently NOT good enough.

Tech companies seem to be selling the following caveat: if it's not good enough today don't worry it will be in XYZ time.

This is engagement bait. It’s been flooding Reddit recently, I think there’s a firm or something that does it now. Seems very well lubricated.

Note how OP is very nonchalant at all the responses, mostly just agreeing or mirroring the comments.

I often see it used for astroturfing.

And is vibing replies to comments too in the Reddit thread. When commenters points out they shouldn’t run in YOLO/Turbo mode and review commands before executing the poster replies they didn’t know they had to be careful with AI.

Maybe AI providers should give more warnings and don’t falsely advertise capabilities and safety of their model, but it should be pretty common knowledge at this point that despite marketing claims the models are far from being able to be autonomous and need heavy guidance and review in their usage.

Natural selection is a beautiful thing.

It will, especially with the activist trend towards dataset poisoning… some even know what they’re doing

There’s a lot of power in letting LLM run commands to debug and iterate.

Frankly, having a space in a file path that’s not quoted is going to be an incredibly easy thing to overlook, even if you’re reviewing every command.

I have been recently experimenting with Antigravity and writing a react app. I too didn't know how to start the server or what is "npm run dev". I consider myself fairly technical so I caught up as I went along.

While using the vibe coding tools it became clear to me that this is not something to be used by folks who are not technically inclined. Because at some point they might need to learn about context, tokens etc.

I mean this guy had a single window, 10k lines of code and just kept burning tokens for simplest, vague prompts. This whole issue might be made possible due to Antigravity free tokens. On Cursor the model might have just stopped and asked to fed with more money to start working again -- and then deleting all the files.

Well but 370% of code will be written by machines next year!!!!!1!1!1!!!111!