Dileep George @dileeplearning
@dileeplearning.bsky.social
AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
Yes, it counts.
September 18, 2025 at 5:56 AM
Yes, it counts.
Thank you! Looks like I was able to fix it by adding one more rule to the domain forwarding setup at squarespace.
September 17, 2025 at 6:00 PM
Thank you! Looks like I was able to fix it by adding one more rule to the domain forwarding setup at squarespace.
Hmmm….i need to vibe fix this….tomorrow!
September 17, 2025 at 10:11 AM
Hmmm….i need to vibe fix this….tomorrow!
Ohh ok I realize that @tyrellturing.bsky.social mentioned evolution. Fine then. But then which neuroscientist believes this?
May 15, 2025 at 6:04 PM
Ohh ok I realize that @tyrellturing.bsky.social mentioned evolution. Fine then. But then which neuroscientist believes this?
Here's the CSCG paper: www.nature.com/articles/s41...
And here' the CML paper:
www.nature.com/articles/s41...
And here' the CML paper:
www.nature.com/articles/s41...
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps - Nature Communications
Higher-order sequence learning using a structured graph representation - clone-structured cognitive graphs (CSCG) – can explain how the hippocampus learns cognitive maps. CSCG provides novel explanati...
www.nature.com
May 15, 2025 at 1:24 AM
Here's the CSCG paper: www.nature.com/articles/s41...
And here' the CML paper:
www.nature.com/articles/s41...
And here' the CML paper:
www.nature.com/articles/s41...
Good conclusion :-).
May 15, 2025 at 1:22 AM
Good conclusion :-).
somehow chatGPT understand my opinion about successor representations? 4/
May 15, 2025 at 1:22 AM
somehow chatGPT understand my opinion about successor representations? 4/
I didn't mention partial observability specifically, so it is impressive that this was picked up. Looks like we did something right in our CSCG paper in making this explicit? 3/
May 15, 2025 at 1:22 AM
I didn't mention partial observability specifically, so it is impressive that this was picked up. Looks like we did something right in our CSCG paper in making this explicit? 3/
It is quite impressive that chatGPT picked up these nuances, picks up a relevant quote from the paper and even emphasizes portions of the response. 2/
May 15, 2025 at 1:22 AM
It is quite impressive that chatGPT picked up these nuances, picks up a relevant quote from the paper and even emphasizes portions of the response. 2/
Some of our work could explain this kind of latent graph learning and schema-like abstraction. 2/
arxiv.org/abs/2302.07350
arxiv.org/abs/2302.07350
Graph schemas as abstractions for transfer learning, inference, and planning
Transferring latent structure from one environment or problem to another is a mechanism by which humans and animals generalize with very little data. Inspired by cognitive and neurobiological insights...
arxiv.org
April 29, 2025 at 12:06 AM
Some of our work could explain this kind of latent graph learning and schema-like abstraction. 2/
arxiv.org/abs/2302.07350
arxiv.org/abs/2302.07350
it takes a bit of getting immersed in the field to know this :-)
April 27, 2025 at 9:15 PM
it takes a bit of getting immersed in the field to know this :-)
This comic would be an inside joke. Many neuroscience papers that study a brain region postulate that the current does a simple transformation of the input to make it easy for brain regions that are 'downstream' to solve the real problem effectively deferring the real problem. ...
April 27, 2025 at 9:14 PM
This comic would be an inside joke. Many neuroscience papers that study a brain region postulate that the current does a simple transformation of the input to make it easy for brain regions that are 'downstream' to solve the real problem effectively deferring the real problem. ...