Well, I don't think even 1% of professionals would be able to. The model used novel zero-days, there are many people in this filed, not many of them discover such vulnerabilities, and probably not on the spot.
Researcher: hack me Model: I committed a crime Researcher: oh my god
[flagged]
This implementation has an explicit mutation rate! That's not in the spirit of the original paper, where programs "mutate" from interacting with other random pre seeded programs.
>Greg Egan's "Rifters" By Peter Watts actually.
"free will" also known as digits of pi mod 2
Yes, absolute majority of new ones use CoTs, long chain of reasoning you don't see. Also some of them use such a weird style of talking in them e.g. o3 talks about watchers and marinade, and cunning schemes…
I agree with this. This a remarkably bad podcast. And also pretty bad paper to focus on. As the podcast was quite bad, I just read it and it was about nothing at all. Like, it's a basically blogpost that muses about…
Well, it's also an indicator for how well its other claims would hold up if you dug deeper on them too.
CNNs are CA if you don't insert fully connected layers, actually.
Well, kinda? I often know what chunks / functions I need, but too lazy to think how to implement them exactly, how they should works inside. Yeah, you need to have overall idea of what you are trying to make.
What do you mean several years, it became feasible like 6 months ago lol. No, gpt3.5 doesn't count, it's a completely useless thing.
"Wild mammals" nice one, journalism
why not make AI on the same platform as the human brain? what is so exceptional about it, and even if it is an exceptional material, why not just use it?
Well, I don't think even 1% of professionals would be able to. The model used novel zero-days, there are many people in this filed, not many of them discover such vulnerabilities, and probably not on the spot.
Researcher: hack me Model: I committed a crime Researcher: oh my god
[flagged]
This implementation has an explicit mutation rate! That's not in the spirit of the original paper, where programs "mutate" from interacting with other random pre seeded programs.
>Greg Egan's "Rifters" By Peter Watts actually.
"free will" also known as digits of pi mod 2
Yes, absolute majority of new ones use CoTs, long chain of reasoning you don't see. Also some of them use such a weird style of talking in them e.g. o3 talks about watchers and marinade, and cunning schemes…
I agree with this. This a remarkably bad podcast. And also pretty bad paper to focus on. As the podcast was quite bad, I just read it and it was about nothing at all. Like, it's a basically blogpost that muses about…
Well, it's also an indicator for how well its other claims would hold up if you dug deeper on them too.
CNNs are CA if you don't insert fully connected layers, actually.
Well, kinda? I often know what chunks / functions I need, but too lazy to think how to implement them exactly, how they should works inside. Yeah, you need to have overall idea of what you are trying to make.
What do you mean several years, it became feasible like 6 months ago lol. No, gpt3.5 doesn't count, it's a completely useless thing.
"Wild mammals" nice one, journalism
why not make AI on the same platform as the human brain? what is so exceptional about it, and even if it is an exceptional material, why not just use it?