Intelligence and Combinatorial Complexity
Ok, now that all the non math-nerds are gone, we can talk.
I’ve been working for some time now with a team inside of Microsoft on various ideas in the direction of more stable, longer-running agents
One counter-intuitive thing we have found is that you can get “more” intelligence from more agents working together, or in some kind of state-machine-like flow (as opposed to a single agent) even if they are all using the same base model. That seems counter intuitive - why aren’t you getting “all” of the intelligence of the base model in any inference? How can you get more with just a different kind of inference agent, like working memory or a prefrontal cortex analog or other monitor?
But again, often when working with these systems
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A guess (and it’s just that) is that there is something like the idea of combinatorial complexity
It’s hard to get to a high “N” count of behaviors and ideas that way - but much easier to get to that high N count combinatorically, with a good set of composable primitives. And language is really good for the compositional part of that equation - it’s easy to combine these pieces in surprising ways, and much less brittle that it might otherwise be, so the system can even “improvise” fairly well.
Of course, anything at this level of complexity probably comes with its own problems - hallucinations, cult beliefs, lies, etc. It’s possible that that just comes with the territory, that anything above a certain level of complexity will have the same problems, just like it’s hard to weed things like cancer or mutations out of complex biological systems. Maybe it’s a numbers game like entropy is - there are just higher and higher odds you’ll land on a bad square as the complexity or dimensionality goes up.
Base models will continue to get better, and it’s hard to know how much will get solved that way versus higher level architectures
Creative x (Technologist + Educator + Entrepreneur)
1 年While he disavowed neural nets (aka Perceptrons), Minsky may be right after all about our Society of Mind. It takes a village to build a mind.
Founder | Ex-Microsoft, Tesla, NXP | USC
1 年Very insightful, thanks for sharing!