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A general problem to action mapper. We have those in biological form with varying degrees of generality. We can use those to infer what synthetic ones will beha
by ImHereToVote 1y ago
A general problem to action mapper. We have those in biological form with varying degrees of generality. We can use those to infer what synthetic ones will behave like.
- horhay 1y agoYou keep saying reiterating this like the people in charge of researching for this agree with this bar that you set. These qualified people can't even agree amongst themselves. Also. That second point is like the most unhelpful point I've ever seen saying that "we just need to look at us, we're the real GI, we're proof AGI can exist". What are you even talking about? You don't think people have taken that philosophy before? We're not even close to figuring out all the nuts and bolts that go into /natural/ general intelligence. What makes you think it's easier here?
- ImHereToVote 1y agoIt doesn't get easier. Nobody predicted LLMs. Intelligence is much easier to grow than it is to understand. This is obvious.
- horhay 1y agoYou mean /knowledge/ is easier to collect lol. Not even grow. And if it's easy to grow with what we know then space travel to outside our solar system might already be a thing today. "Growing intelligence" requires scientific study that gets harder the more you understand a problem. "Easier" is such a dismissive thing to describe the science that goes into it. Nobody predicted LLM's? Despite the fact that it shares mechanisms from other older branches of machine learning. Right. I'd recommend you stop right here lol. You are no longer speaking from the point of view of the industry or research, just looking at what laymen think.