LLMs fill in underspecified parts of the users' request with frog DNA.

  • LLMs fill in underspecified parts of the users' request with frog DNA.
    • The frog DNA is inherently mushy; average.
    • This means that the under-specified parts become more average, pulling toward mediocrity.
    • That's bad… but also, without that frog DNA filling in the gaps, the idea might not have been fully specified enough to be viable.
    • It's better to have a viable request that you can interact with the results and tweak and specify better, than to get a brick wall of "sorry, does not compute".

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