Hacker News new | ask | show | jobs
by energy123 236 days ago
I don't see any reason to think that transformers are not capable of deductive reasoning. Stochasticity doesn't rule out that ability. It just means the model might be wrong in its deduction, just like humans are sometimes wrong.
1 comments

But it can't actually deduce, can it? If 136891438 * 1294538 isn't in the training data, it won't be able to give you a valid answer using the model itself. There's no process. It has to offload that task to a tool, which will then calculate and return.

Further, any offloading needs to be manually defined at some point. You could maybe give it a way to define its own tools, but even then they would still be defined by what has come before.