1,854 karma · joined June 28, 2016
Would something like LMCache help here?
Now there are times when I let the model keep its own docs in its own language, for its own future reference; but, it is not intended for human distribution due to its odd selection of words and phrases (aka slop).
Going back to first principles, wikipedia mentions [0] inference as:
> "Inferences are steps in logical reasoning, moving from premises to logical consequences. Inference is traditionally divided into deduction and induction"
Is that exactly what next token predictor means, or is it correlated?
Of course, there are outliers who use tech individually to improve the human/world experience, but it isn't the norm.
This defined a huge set of possible work.
> I've spent around $100-$120k in api calls
Have multiple $200 subs and just use Codex as the intermediary, save yourself $90k-$110k
Similar to zero knowledge proof (ZNP) and its use cases?
[0] https://med.stanford.edu/news/all-news/2026/09/two-separate-...
It just processes data, so change the data and it will produce different aggregate data, as in y=f(x). We just feed it the internet, so it spits out (mimics) internet as its derivatives. You are only personifying the current state of affairs.