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One of the key advantages of computers has, historically, been their ability to compute and remember things accurately. What value is there in backing out of these in favour of LLM-based computation?


They're able to handle large variance in their input, right out've the box.

I think the appeal is code that handles changes in the world without having to change itself.


That's not very useful though, unless it is predictable and repeatable?


I think that's the argument from some of the other commenters: making it predictable and repeatable is the engineering task at hand.

Some ways they're approaching it:

- Reduce the requirement from 100% predictable to something lower yet acceptable.

- continuously add layers of checks and balances until we consistently hit an acceptable ratio of success:failure

- Wait and see if this is all eventually cost-efficient




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