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by seu 1176 days ago
> This has interesting implications because it means people will gravitate towards languages/frameworks/libraries that GPT knows well, which means even less training data will be generated for the new stuff. This is a form of value lock-in.

That's the kind of problem that most people are just failing to see. The usage of this models might not in itself be problematic, but the changes that it bring are often unexpected and too deep for us to see clearly now. And yet, people are rushing towards them at full speed.

1 comments

It's inevitable, really. But that's like saying Washing Machine changed fashion. It might have, but the changes aren't all that abominable, either.