The point that you brought up seemed to rest a lot on Hinton’s claims, so it seems that his opinions on timelines and AI progress should be quite important
Do you have any recent source on his claims about AI progress?
More generally, I think the belief that there’s some kind of important advantage that cutting edge AI systems have over humans comes more from human-AI performance comparisons e.g. GPT-4 way outstrips the knowledge about the world of any individual human in terms of like factual understanding (though obv deficient in other ways) with probably 100x less params. A bioanchors based model of AI development would imo predict that this is very unlikely. Whether the core of this advantage is in the form or volume or information density of data, or architecture, or something about the underlying hardware I am less confident.
The point that you brought up seemed to rest a lot on Hinton’s claims, so it seems that his opinions on timelines and AI progress should be quite important
Do you have any recent source on his claims about AI progress?
See e.g. “So I think backpropagation is probably much more efficient than what we have in the brain.” from https://www.therobotbrains.ai/geoff-hinton-transcript-part-one
More generally, I think the belief that there’s some kind of important advantage that cutting edge AI systems have over humans comes more from human-AI performance comparisons e.g. GPT-4 way outstrips the knowledge about the world of any individual human in terms of like factual understanding (though obv deficient in other ways) with probably 100x less params. A bioanchors based model of AI development would imo predict that this is very unlikely. Whether the core of this advantage is in the form or volume or information density of data, or architecture, or something about the underlying hardware I am less confident.