Dileep George Profile
Dileep George

@dileeplearning

Followers
13K
Following
12K
Media
752
Statuses
6K

AGI research @DeepMind. Ex cofounder & CTO @vicariousai (acqd by Alphabet) and @Numenta. Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics

San Francisco, CA
Joined June 2017
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@rudzinskimaciej
Rudzinski Maciej
1 day
This discusion thread is really nice - Deleep always forces one to think more and provides creative logical additions
@dileeplearning
Dileep George
1 day
AI Consciousness, qualia, and personhood...my current thoughts. Can AI systems have consciousness? Yes, I think it is possible to build AI systems to have consciousness. While we haven’t pinned down exactly what it means, we will. Consciousness is related to information
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@AlexCorrino
Alex Corrino
53 minutes
Is the "New Math" behind the AI trade a fraud? Let me break down the three pillars of the AI economy and why even bulls like me are getting concerned about the numbers 🧵
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@dileeplearning
Dileep George
1 day
AI Consciousness, qualia, and personhood...my current thoughts. Can AI systems have consciousness? Yes, I think it is possible to build AI systems to have consciousness. While we haven’t pinned down exactly what it means, we will. Consciousness is related to information
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@dileeplearning
Dileep George
1 day
A note on AI consciousness, qualia, personhood....etc. https://t.co/2iish1hxNO
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blog.dileeplearning.com
A note on my current positions, in a FAQ format.
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@dileeplearning
Dileep George
2 days
I think @KordingLab and @eboyden3 got this wrong. We can simulate microprocessors because we understand the abstractions that connect the components to overall function…..not the other way around.
@_TheTransmitter
The Transmitter
19 days
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology, and how neurons generate behavior, write @eboyden3 and @koerding. https://t.co/TMjnGwbAPh
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@mamo
Mamo
8 days
Everyone starts somewhere. The person with $100,000 invested today once had their first $100. The difference? They started. Your turn. Let Mamo grow your @USDC, always earning the best rate and auto-compounding returns without needing to lift a finger.
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@sethbannon
Seth Bannon
2 days
10 out of 10. Would recommend. BillionToOne is a wonderful example of what's possible when you take on the most important, hardest problem you can. Oguzhan and David didn’t set out to “start a startup.” They wanted to solve a globally important problem -- and building a company
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@sundarpichai
Sundar Pichai
4 days
Our TPUs are headed to space!  Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100
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@_onionesque
Shubhendu Trivedi
8 days
A large fraction of interpretability work that interprets very broadly to produce dramatic narratives rather than grounded science certainly can't help with this. ["The model deceives us," "we have discovered the fear neuron," "this subspace encodes and plans deception!"]
@pfau
David Pfau
9 days
I really genuinely believed that the deeper we got into interpretability, the more demystified these models would become and that the tendency towards anthropomorphization would fade away. I still don't understand why that doesn't seem to be happening.
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@dileeplearning
Dileep George
9 days
I'm reminded that "functional networks" in neuroscience mean networks that are not going to work at all. (Not a joke, this is what it means). I guess "functional form" here is in a similar vein?
@AnthropicAI
Anthropic
10 days
New Anthropic research: Signs of introspection in LLMs. Can language models recognize their own internal thoughts? Or do they just make up plausible answers when asked about them? We found evidence for genuine—though limited—introspective capabilities in Claude.
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@FWDind
Forward Ind. | NASDAQ-$FORD
1 day
It was a pleasure joining @furrier, founder of SiliconANGLE, on the floor of the NYSE to discuss the future of finance on Solana. Our Chairman @KyleSamani was asked about Internet Capital Markets and its global potential
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@dileeplearning
Dileep George
10 days
"you can't version-lock intelligence that doesn't actually **understand** what it is doing". LLM s don't *understand* the world like we do. What are the real ingredients of understanding? https://t.co/LRGkhhvpfZ
@tomfgoodwin
Tom Goodwin
14 days
Gen AI is what happens when you ship something about 8 years too early and hope it doesn't catch up with you.
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@dileeplearning
Dileep George
15 days
Friday evening with an injured foot....#AGIComics is how I'm coping with plantar fasciitis 😬 https://t.co/C486Tm6s5v
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agicomics.net
A comic series.
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@woj_zaremba
Wojciech Zaremba
15 days
Super excited for OpenAI to supporting growth of AI safety ecosystem -- in this case bio-defense.
@jasonkwon
Jason Kwon
15 days
One of the greatest opportunities in AI safety and security is the chance to help support the creation of new industry verticals that help maximize the benefits and minimize the risks. The technology is moving fast. One of the best ways to keep up is with more technology, more
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@dileeplearning
Dileep George
15 days
this is not a blog...this is investigative reporting.
@beenwrekt
Ben Recht
15 days
Revisiting last week’s open problems scandal, I wrote about LLMs as Lore Laundering Machines and why some are blind to the novelty whitewashing.
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@HedaSudhanshu
Sudhanshu Heda
17 days
‘Intelligence is not about knowing! It is about knowing how to know! Measuring intelligence should be about measuring what the model knows about how to know‘
@dileeplearning
Dileep George
17 days
The one word in @RichardSSutton's Bitter Lesson that misled silicon valley. ----- A large portion of silicon valley misunderstood the Bitter Lesson essay to think that LLMs are bitter-lesson-pilled. I won't blame them. Some poor word choices in the essay give that impression.
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@MultiversX
Multiversᕽ
4 days
A New Dawn rises. Supernova marks the next evolution of the network. Engineered for speed, scale, and true decentralization. Five years ago, the first Battle of Nodes tested the limits before mainnet launch. An epic competition still remembered today. Now, the competition
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@dileeplearning
Dileep George
16 days
thank you :)
@erikbryn
Erik Brynjolfsson
17 days
@dileeplearning @RichardSSutton Excellent point!
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@dileeplearning
Dileep George
17 days
The one word in @RichardSSutton's Bitter Lesson that misled silicon valley. ----- A large portion of silicon valley misunderstood the Bitter Lesson essay to think that LLMs are bitter-lesson-pilled. I won't blame them. Some poor word choices in the essay give that impression.
@dileeplearning
Dileep George
18 days
.@RichardSSutton’s Bitter Lesson essay is popular in Silicon Valley, for reasons Rich didn’t intend. Why? One poor word choice in Rich’s essay!! Had he used a different word in one place in the essay the world wouldn’t have thought LLMs are bitter-lesson pilled. Want to
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@dileeplearning
Dileep George
17 days
I have an English text string to send. Is DeepSeek-OCR’s “10x compression” saying that by converting the text string to an image and compressing the image and sending it is 10x more efficient (at 3% error rate) compared to a lossy text compression method that would achieve the
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@dileeplearning
Dileep George
18 days
.@RichardSSutton you’re welcome to make a guess too :)
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@Balt_USA_Neuro
Balt USA Neuro
2 months
Get to the face of the clot with Carrier Delivery Catheter: new data reports Carrier delivered the aspiration catheter to the face of the clot in 100% of cases! Choose consistency, choose Carrier. Check out the article here.
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@dileeplearning
Dileep George
18 days
.@RichardSSutton’s Bitter Lesson essay is popular in Silicon Valley, for reasons Rich didn’t intend. Why? One poor word choice in Rich’s essay!! Had he used a different word in one place in the essay the world wouldn’t have thought LLMs are bitter-lesson pilled. Want to
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@AndrejBicanski
AndrejBicanski
19 days
This is a fun analogy :)
@dileeplearning
Dileep George
19 days
And here's the dirigibles analogy:
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