alt Hacker Newsyou will need to collect data for every decision/usecase and then train a model. But this can be used for different use cases with just a prompt.
Founders response to a similar question on X: https://x.com/CompleteSkeptic/status/2100067328620896408?s=2...
pasting it here: zero-shot + general == programmable
I would assume any extreme scale narrow task could then be fine-tuned for, but we'll see - I suspect putting it all in shared cognitive core has bit maintainability/generalization benefits
Thanks. I do concede it’s very general but that is a double-edged sword. I don’t need a general fraud identification algorithm. I need an accurate one. If I have another classification task I’ll train another model for that task.