If you’re not actively publishing at top conferences (I.e. NeurIPS), than this is a trash question and shows the lack of knowledge that many who are now entering the field will have.

Anything that you or others can answer to this which isn’t some stupid “gotcha” puzzle shit (lol it’s video cus LLMs aren’t video models amiright?) will be wrong because of things like structured decoding and the fact that ultra high temperature works with better samplers like min_p.

https://openreview.net/forum?id=FBkpCyujtS&noteId=mY7FMnuuC9

3e4a3ad9f05fdfb609dda6e5f512e52506f4c1053962e21bfd93f1ed81582d16ca0fef9574fb07ab62f8f5b1373b4ddd541804c0d176f4a557d900b05047e853

(This is the hash of a string randomly popped in my mind. An LLM will write this with almost 0 probability --- until this is crawled into the training sets)

You go first.

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