Danksy

There is not enough activity to sustain niche communities.

In this case it is more a feature being called a bug

If we ignore the other poster, do you think the logic in my previous comment is circular?

That was what I was trying to say, I can see that the wording is ambiguous.

I agree, it's a massive issue. It's a very complex topic that most people have no way of understanding. It is superb at generating text, and that makes it look smarter than it actually is, which is really dangerous. I think the creators of these models have a responsibility to communicate what these models can and can't do, but unfortunately that is not profitable.

If a solution is correct then a solution is correct. If a correct solution was generated randomly that doesn't make it less correct. It just means that you may not always get correct solutions from the generating process, which is why they are checked after.

It's not circular. LLMs cannot be fluent because fluency comes from an understanding of the language. An LLM is incapable of understanding so it is incapable of being fluent. It may be able to mimic it but that is a different thing. (In my opinion)

It's not a bug, it's a natural consequence of the methodology. A language model won't always be correct when it doesn't know what it is saying.

It is indeed a stupid meme

Meta holds the record for the largest gdpr fine at 1,2 billion euro.

And he discredits his own argument 20 minutes later.

This is still based on fit, evolution, and technology in the context of Earth and humans. Who knows how (or if) evolution could or would work on other planets. Who knows which traits fit would select for, and what process that selection would be based on.

Also, who knows how else technology could look. We have tech that HUMANS couldn't imagine just 100 years ago. How are we supposed to imagine what technology would look like on alien planets.

My point is: you shouldn't look at the probability of human technological intelligence. And we naturally can't look at non-human technology since we haven't found any. We can't know the probability. All we know is that it has happened at least once.