The reason i believe is good is because with very few tokens you encode two properties, for which Paul Dirac is most famous for.
* a great scientist (which hopefully encourages researching and verifying answers)
* a person who doesn't like to use many words at all
The later hopefully compensates the apparent "output-prose-greediness" most models seem to have. No idea if that "token greedines" (or slop) is a result from the companies business models or inherent for the models and their training :/
* a great scientist (which hopefully encourages researching and verifying answers)
* a person who doesn't like to use many words at all
The later hopefully compensates the apparent "output-prose-greediness" most models seem to have. No idea if that "token greedines" (or slop) is a result from the companies business models or inherent for the models and their training :/