alt Hacker News> LLMs can generate code quickly. But there's no guarantee that it's syntactically, let alone semantically, accurate.
This has been a non-issue with self-correcting models and in-context learning capabilities for so long that saying it today highlights highly out of date priors.
You're referring to tools that fetch content from the web, read my data on disk, and feed it to the models?
I can see how that would lead to a better user experience, but those are copouts. The reality is that the LLM tech without it still has the same issues it has had all along.
Besides, I'll be damned if I allow this vibe coded software to download arbitrary data from the web on my behalf, scan my disk, and share it with companies I don't trust. So when, and if, I can do so safely and keep it under my control, I'll give it a try. Until then, I'll use the "dumb" versions of these models, feed them context manually myself, and judge them based purely on their actual performance.