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You can just change your definition of "AI". Back in the 60s the pinnacle of AI was things like automatic symbolic integration and these would certainly be completely deterministic. Nowadays people associate "AI" with stuff like LLMs and diffusion etc. that have randomness included in to make them seem "organic", but it doesn't have to be that way.

I actually think a large part of people's amazement with the current breed of AI is the random aspect. It's long been known that random numbers are cool (see Knuth volume 2, in particular where he says randomness make computer-generated graphics and music more "appealing"). Unfortunately being amazed by graphics and music (and now text) output is one thing, making logical decisions with real consequences is quite another.



In 2025, 99% of people are talking about LLMs or stable diffusion.


So then your question boils down to "how could X, which I've defined as Y, be Z?"


The cutting edge of AI research is LLMs. Those aren't deterministic.

You can build an "AI" with whatever you want, but context matters and we live in 2025, not 1985.




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