[jll29]

Running the built-in "strings" command to extract a few file names from a binary is hardly hacking/cracking.

Ironically, though, getting the source code of Gemini perhaps wouln't be valuable at all; but if you had found/obtained access to the corpus that the model was pre-trained with, that would have been kind of interesting (many folks have many questions about that...).

[dvt]

> but if you had found/obtained access to the corpus that the model was pre-trained with, that would have been kind of interesting

Definitionally, that input gets compressed into the weights. Pretty sure there's a proof somewhere that shows LLM training is basically a one-way (lossy) compression, so there's no way to go back afaik?

[jdiff]

Not the original, but a lossy facsimile that's Good Enough for almost anything. And as the short history of LLMs and other nets has shown us, they're often not even all that lossy.