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"Please learn from our mistakes. Don't do exactly the same things that we did, or you'll end up in ten years with having nothing to show for it." — Nicholas Carlini urging AI researchers to avoid the pitfalls of past adversarial ML research at the Vienna Alignment Workshop 2024.

5,370,650 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

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FAR.AIvor 1 Jahr

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Profilbild von Nilesh Trivedi
Nilesh Trivedivor 1 Jahr

Sounds good if the problem you're trying to solve is "how to publish 9000 papers in 10 years". 😁

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floating pointvor 1 Jahr

I actually listened to the talk and I am not sure what’s the advice? It appears the advice is to study why adversarial papers are still so easy to break and maybe try not to put such a difficult problem as a target? Eg limit jailbreak to 100 queries via API (no weights access).

Profilbild von Janosch
Janoschvor 1 Jahr

One of the first things I used Chat-GPT for was having it write for me a Python keylogger. I just had to avoid that word and prompt around it. The second thing I did was having it write porn stories. Worked incredibly well, with some understanding of context windows.

Profilbild von Noir Tintin -
Noir Tintin -vor 1 Jahr

He looks like Andrew tate if he went to school

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Kass Poppervor 1 Jahr

Alignment evals for LLMs based purely on input-output pattern recognition are bound to fail.

Profilbild von Gianluca
Gianlucavor 1 Jahr

Making mistake it's a fundamental part of human nature, if you don't make mistakes you don't progress,it's necessary and it's thanks to the mistakes of the past that progress was made possible. If you eliminate mistake, you cut a central part of human nature.

Profilbild von Tensor Templar
Tensor Templarvor 1 Jahr

Oh someone elaborating on negative results for once, cool.

Profilbild von Burek
Burekvor 1 Jahr

Top G looks different

Profilbild von Revised Basics
Revised Basicsvor 1 Jahr

These AI researchers are just working together to create more recessions and crisis for middle and lower class.

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