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G Ironically these kinds of warnings are really helpful in raising capital to inve… ytc_UgzSILqXZ… G good documentary.. i can see this job also have been in spread to other country … ytc_UgzLHHxl-… G Does that mean truckers are even more emotionally unstable and we can expect mor… ytc_Ugz6dIB52… G Nah, it stops people from actually learning to draw. Anyone can learn but since … ytr_Ugy7rSyr6… G For those who were wondering The History and Evolution of Clocks and Timekeep… ytc_Ugxr6SDUT… G At least digital art still uses human abilities. Yes, the paint bucket and other… ytc_Ugx9Olj2L… G I'm a software engineer. I also do a lot of 3D modeling on the side. As far as s… ytc_Ugy586bJV… G We need to stop make robots look like human. It will never feel right. And if it… ytc_UgyYnShrM…
Comment
also you were wrong about the fact that these algorithms are “too complicated to look inside.” you can actually train neural networks to accurately classify whether a language model thinks it’s lying already, regardless of its scale, from tiny ones up to the largest available. and during in-context learning, that’s actually not a mutable property of the model; it can’t fool the lie detector without changing its output (which is sort of the point, yeah)? of course if “trained,” it can jointly maximize the objective and minimize the lie detector given a gradient of it, but why would a fully trained model be doing gradient updates, and better yet, why would the lie detector be available to it as a white box? it just makes no sense.
youtube AI Moral Status 2023-08-21T08:1…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningmixed
Policynone
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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