Comment by gmerc 13 hours ago That sounds like Anthrophics watermark explanation though. 2 comments gmerc Reply LPisGood 13 hours ago Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it. The models always relied on some randomness, here the randomness is fixed and remembered for querying later. thaumasiotes 8 hours ago > Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it.Wouldn't that mean that checking the watermark...(1) Required knowing the prompt used to generate the text; and(2) was just as expensive as generating the text?
LPisGood 13 hours ago Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it. The models always relied on some randomness, here the randomness is fixed and remembered for querying later. thaumasiotes 8 hours ago > Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it.Wouldn't that mean that checking the watermark...(1) Required knowing the prompt used to generate the text; and(2) was just as expensive as generating the text?
thaumasiotes 8 hours ago > Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it.Wouldn't that mean that checking the watermark...(1) Required knowing the prompt used to generate the text; and(2) was just as expensive as generating the text?
Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it. The models always relied on some randomness, here the randomness is fixed and remembered for querying later.
> Anthropic’s watermark is just using a known collection of random seeds during output token generation. That’s it.
Wouldn't that mean that checking the watermark...
(1) Required knowing the prompt used to generate the text; and
(2) was just as expensive as generating the text?