This is coming from Dileep George and the Jeff Hawkins adjacent theories around hierarchical temporal memory, cortical columns, and much of the higher level theory around what it is that the brain is doing in its smallest, repeated functional units. They split some time back, but they're both quite rigorous and have done exciting research. This paper goes over allocentric framing of learning, allowing cortical networks to be built through learning and thinking over time, driving a more complex and nuanced model of the world to be built throughout the networks in the brain, where the hippocampus seems to hold the long term memory, with connections that feed back up to nearly every region in the cortex. It's not complete, but it abstracts a level away from phenomenological observations like the notion of Jennifer Aniston cells, or mirror neurons, or things that occur as a consequence of some underlying functionality. We're getting much closer to a complete picture of the algorithms underlying human intelligence, and those may unlock human level machine intelligence, the understanding of consciousness, and all sorts of great medicine and technology. Google made a good choice in hiring Dileep George.
First thing that came to mind was the song-lines of Indigenous Australians, they code long journeys through country through narratives and songs, it's the macro form of this research
> CSCGs build on top of cloned HMMs by augmenting the model with the actions of an agent.
pretty interesting take, and reminds me of the models that Karl Friston and many colleagues make under the umbrella term "active inference", involving free energy minimization.
observationist ·88 days ago
Show replies
oliyoung ·88 days ago
https://en.wikipedia.org/wiki/Songline
marmaduke ·88 days ago
pretty interesting take, and reminds me of the models that Karl Friston and many colleagues make under the umbrella term "active inference", involving free energy minimization.
kovezd ·88 days ago
We are simply the node at the center in a coordinate system, connected to the same emotions, rewards, and memories that every other node in the graph.
Show replies
altairprime ·88 days ago