Dileep George @dileeplearning's Avatar

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

11,533 Followers  |  691 Following  |  327 Posts  |  Joined: 04.07.2023  |  1.7797

Latest posts by dileeplearning.bsky.social on Bluesky

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AI consciousness, qualia, and personhood. A note on my current positions, in a FAQ format.

Can AIs be conscious? Should we consider them as persons? Here are my current thoughts.....

blog.dileeplearning.com/p/ai-conscio...

07.11.2025 16:35 โ€” ๐Ÿ‘ 8    ๐Ÿ” 1    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 0
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Quick notes from vibe-coding a comic website Hate less, vibe more!

blog.dileeplearning.com/p/quick-note...

TLDR: It was fun and the process felt 'magical' at times. If you have lots of small project ideas you want to prototype, vibe-coding is a fun way to do that as long as you are willing to settle for 'good enough'.

20.10.2025 16:19 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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AGI Comics โ€” #2: Artificial General Breakthrough Self-congratulatory learning would be a cool name for a real learning algorithm.

Those who think there's an AI bubble are unaware of a recent breakthrough....
www.agicomics.net/c/ag-breakth...

20.10.2025 00:41 โ€” ๐Ÿ‘ 10    ๐Ÿ” 0    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0
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AGI Comics โ€” #1: Artificial General Productivity A comic series.

New and improved and 10000% vibe-coded! Check out www.agicomics.net

20.10.2025 00:25 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Paradigms of Intelligence Team Advance our understanding of how intelligence evolves to develop new technologies for the benefit of humanity and other sentient life - Paradigms of Intelligence Team

1/4) Iโ€™m excited to announce that I have joined the Paradigms of Intelligence team at Google (github.com/paradigms-of...)! Our team, led by @blaiseaguera.bsky.social, is bringing forward the next stage of AI by pushing on some of the assumptions that underpin current ML.

#MLSky #AI #neuroscience

23.09.2025 15:06 โ€” ๐Ÿ‘ 180    ๐Ÿ” 11    ๐Ÿ’ฌ 23    ๐Ÿ“Œ 2

Jesus Christ.

17.09.2025 17:46 โ€” ๐Ÿ‘ 3518    ๐Ÿ” 1398    ๐Ÿ’ฌ 49    ๐Ÿ“Œ 52

Yes, it counts.

18.09.2025 05:56 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐Ÿšจ New preprint! ๐Ÿšจ

Excited and proud (& a little nervous ๐Ÿ˜…) to share our latest work on the importance of #theta-timescale spiking during #locomotion in #learning. If you care about how organisms learn, buckle up. ๐Ÿงต๐Ÿ‘‡

๐Ÿ“„ www.biorxiv.org/content/10.1...
๐Ÿ’ป code + data ๐Ÿ”— below ๐Ÿคฉ

#neuroskyence

17.09.2025 19:32 โ€” ๐Ÿ‘ 125    ๐Ÿ” 56    ๐Ÿ’ฌ 10    ๐Ÿ“Œ 6

Thank you! Looks like I was able to fix it by adding one more rule to the domain forwarding setup at squarespace.

17.09.2025 18:00 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Hmmmโ€ฆ.i need to vibe fix thisโ€ฆ.tomorrow!

17.09.2025 10:11 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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AGI Comics โ€” #23: Artificial General Productivity A comic series.

#AGIComics now has a website! And it is 100% vibe coded!

Check out agicomics.net

17.09.2025 10:01 โ€” ๐Ÿ‘ 11    ๐Ÿ” 1    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0
Illustration of the brain in blue and yellow

Illustration of the brain in blue and yellow

12 leading neuroscientists tackle a big question: Will we ever understand the brain?

Their reflections span philosophy, complexity, and the limits of scientific explanation.

www.sainsburywellcome.org/web/blog/wil...

Illustration by @gilcosta.bsky.social & @joanagcc.bsky.social

06.08.2025 08:41 โ€” ๐Ÿ‘ 15    ๐Ÿ” 3    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 2

๐ŸŽฏ

05.06.2025 21:53 โ€” ๐Ÿ‘ 11    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Ohh ok I realize that @tyrellturing.bsky.social mentioned evolution. Fine then. But then which neuroscientist believes this?

15.05.2025 18:04 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Hmmโ€ฆI donโ€™t think itโ€™s impossible.

Evolution could create structures in the brain that are in correspondence with structure in the world.

15.05.2025 18:02 โ€” ๐Ÿ‘ 5    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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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) โ€“ can explain how the hippocampus learns cognitive maps. CSCG provides novel explanati...

Here's the CSCG paper: www.nature.com/articles/s41...

And here' the CML paper:
www.nature.com/articles/s41...

15.05.2025 01:24 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Good conclusion :-).

15.05.2025 01:22 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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somehow chatGPT understand my opinion about successor representations? 4/

15.05.2025 01:22 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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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/

15.05.2025 01:22 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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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/

15.05.2025 01:22 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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This paper turned up on a feed, I was intrigued by it and started reading...

..but then I was quite baffled because our CSCG work seem to have tackled many of these problems in a more general setting and it's not even mentioned!

So I asked ChatGPT... ...I'm impressed by the answer1. 1/๐Ÿงต

15.05.2025 01:22 โ€” ๐Ÿ‘ 11    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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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...

Some of our work could explain this kind of latent graph learning and schema-like abstraction. 2/
arxiv.org/abs/2302.07350

29.04.2025 00:06 โ€” ๐Ÿ‘ 7    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Wow, very cool to see this work from Alla Karpova's lab. She had shown me the results when I visited @hhmijanelia.bsky.social and I was blown away.

www.biorxiv.org/content/10.1...

1/

29.04.2025 00:05 โ€” ๐Ÿ‘ 33    ๐Ÿ” 5    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

it takes a bit of getting immersed in the field to know this :-)

27.04.2025 21:15 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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. ...

27.04.2025 21:14 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Brain dynamics and spatiotemporal trajectories during threat processing

๐—›๐—ผ๐˜„ ๐˜€๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐˜„๐—ฒ ๐—ฑ๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ฒ๐˜๐—ฒ๐—ฟ๐—บ๐—ถ๐—ป๐—ฒ ๐—ฎ ๐—ฏ๐—ฟ๐—ฎ๐—ถ๐—ป ๐—ฟ๐—ฒ๐—ด๐—ถ๐—ผ๐—ป'๐˜€ ๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐—ฐ๐—ฒ?
We introduce the idea of "importance" in terms of the extent to which a region's signals steer/contribute to brain dynamics as a function of brain state.
Work by @codejoydo.bsky.social
elifesciences.org/reviewed-pre...

27.04.2025 17:17 โ€” ๐Ÿ‘ 55    ๐Ÿ” 17    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1

It's kinda obvious. #AGIComics has already figured out which brain region is the most important. ๐Ÿ˜‡

27.04.2025 20:56 โ€” ๐Ÿ‘ 25    ๐Ÿ” 5    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 0
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And whether top-down't influence is multiplicative or not is very context-dependent. (this is also what is seen in neurobiology). www.science.org/doi/10.1126/...

26.04.2025 00:59 โ€” ๐Ÿ‘ 5    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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www.science.org/doi/10.1126/...

26.04.2025 00:57 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Explaining away is a concrete role for feedback computations, and here is one example showing its effect. ....there are many more examples in the paper.
www.science.org/cms/10.1126/...

26.04.2025 00:57 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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