3 ms·
> Being able to mix what you have seen before But humans clearly do that. It's not all we do, but we clearly do that. And given the impressive results that L
by ta8645 3y ago
> Being able to mix what you have seen before
But humans clearly do that. It's not all we do, but we clearly do that. And given the impressive results that LLMs produce, my guess is it or something like it, will play a significant role in the AGI of the future.
- XorNot 3y agoI'd say possibly it is all we do, we just have a lot more hidden inputs. i.e. we're all dealing with inputs from our physical bodies now, and can't not be. There's a whole bit of social advice about dealing with people which is "remember you may be encountering someone on the worst day of their life" (the idea being, 95+% of the time you shouldn't escalate, particularly with strangers). What I do now, and how I think about things is being affected in ways I know are directly related to blood sugar, fatigue, pain (i.e. my legs are a little uncomfortable in a way yours aren't, but I moved them just now so they feel better - all unique inputs to me, all always there). But the other problem with the notion is people thinking of the knowledge bounds these systems derive as being "limits" - they're not. The whole point of machine learning is they're not interpolating between known datapoints, but rather extracting the rules which fit those data points. So stay between the points, and sure - it's some type of complex interpolation of seen inputs. But you don't have to stay between those datapoints - you can move of either end and extrapolate new ones entirely.
- Guvante 3y agoI would say LLM is at best a precursor for a memory system. But saying we almost have AGI because we have a template for HDDs isn't exactly representative IMHO.