All of glazgogabgolab's Comments + Replies

Oops, strangely enough I just wasn't thinking about that possibility. It's obvious now, but I assumed that SL vs RL would be a minor consideration, despite the many words you've already written on reward.

Hey Steve, I might be wrong here but I don't think Jon's question was specifically about what architectures you'd be talking about. I think he was asking more specifically about how to classify something as Brain-like-AGI for the purposes of your upcoming series.

The way I read your answer makes it sound like the safety considerations you'll be discussing depend more on whether the NTM is trained via SL or RL rather than whether it neatly contains all your (soon to be elucidated) Brain-like-AGI properties.

Though that might actually have been what you meant so I probably should have asked for clarification before I presumptively answered Jon for you.

0Steve Byrnes2y
I'm confused; this statement makes it sound like "whether it's trained via SL or RL" is NOT a possible candidate for a "brain-like-AGI property". Why can't it be? Or maybe I'm reading too much into your wording.

If I'm reading your question right I think the answer is:

I’m going to make a bunch of claims about the algorithms underlying human intelligence, and then talk about safely using algorithms with those properties. If our future AGI algorithms have those properties, then this series will be useful, and I would be inclined to call such an algorithm "brain-like".

i.e. The distinction depends on whether or not a given architecture has some properties Steve will mention later. Which, given Steve's work, are probably the key properties of "A learned population of Compositional Generative Models + A largely hardcoded Steering Subsystem".

0Steve Byrnes2y
OK that's fair, I didn't really answer Jon's question. So: What makes an AI algorithm brain-like for present purposes? Probably the biggest single thing is whether it's an actor-critic model-based RL algorithm. If yes, there's a good chance that some of the things I talk about in this series will be at least somewhat applicable to it. If no, probably not. But I'm not too sure and wouldn't want to make any promises. "Actor-critic model-based RL" is AFAIK a big diverse group of a thousand different models that work in a thousand different ways. Probably all of them have some kinds of safety-relevant differences from what I'm gonna talk about. But it's hard for me to say anything in general.