Liquid AI's Ramin Hasani on liquid neural networks, AI advancement, the race to AGI & more! | E1928

(0:00) Liquid AI CEO and co-founder Ramin Hasani joins Jason
(1:09) Liquid AI's mission and concept of liquid neural networks
(7:06) LinkedIn Jobs - Post your first job for free at / twist
(8:34) Demo of Liquid AI: traditional vs. liquid neural networks in autonomous driving
(16:07) Practical applications of Liquid AI
(20:07) Eppo. Accelerate your experimentation velocity with Eppo. Visit geteppo.com/twist
(21:37) Commercializing worm-inspired AI systems, building a team, and solving problems across various sectors
(27:30) Efficiency of liquid neural networks in compact devices like the Raspberry Pi and the transformative potential of AI modeled after worms.
(34:15) Attio - Head to attio.com/twist to get 15% off for your first year.
(35:24) Data ownership in AI and incentivizing data providers
(41:18) Role of AI in real-world applications
(43:57) Societal impact of AI, job displacement, and the optimistic view on AI's potential
(50:25) Explanation of physical models vs statistical models in AI and the challenge of understanding black box AI systems
(57:01) Speculations about AGI's market cap, who might achieve AGI first, and the potential of using AI systems to build various applications
(1:00:12) Comparison between open-source and closed-source models in AI and the trend of open-source moves in the AI industry
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www.capgemini.com/us-en
www.ctc-g.co.jp/en
www.accenture.com
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www.cnn.com/videos/media/2024...
Source of C. elegans worm footage:
• A brief introduction t...
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LinkedIn:
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/ raminhasani
Thanks to our partners:
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[@zacharydaniels3186]

I have been waiting for an update on this company for about a year. Thanks for having them on!

[@SB324]

Catch that Joscha Bach name drop at the end! If Joscha is on the team, they’re on an entirely different level

[@ashh3051]

I think Jason got a bit confused at 13:20 and the interviewer didn’t do a good job of catching this. I’m guessing that Jason was thinking that current neural networks are like “human brains” and the liquid neural network was based on a worm brain. This is a mistake as current neural networks are not like human brains. I think the liquid guy would claim that his architecture is closer to the human brain than traditional NNs as his design is more based on biology.

[@SteveMayzak]

Hilarious that our current neural networks are named as such. I guess that name was take so Liquid it is! Seriously cool

[@MichaelCoker-st3cd]

Why didn't the liquid AI driving test also contain the same amount of noise as the standard test? It seems slightly unfair and the liquid AI attention map seemed to just have attention *everywhere*. I'd love to see a test where they throw a ball out in front of the vehicle as well. I'm still super interested in this tech to see how it works and the potential for lower power/processing needs.

[@circlelabs]

Wow, insane tech

[@DonaldHarvey-yi2tg]

0:22

[@gridvid]

Awesome. Liquid Networks are awesome. Keep it up

[@pjdava]

This Week in Startups, Your videos always make me happy, so I subscribed!

[@knextkoder]

Ramin Hasani!!!!!!!!!!!!

[@SB324]

Glad you had Ramin on!

[@Renaudpc]

I love this approach. Why try to create the human brain when you can create an earliest version of it, learn the ins and out and evolve.

[@Renaudpc]

I love this.

[@petratilling2521]

They should go for the high-end personal market as well. I want a whole-house self contained model that comes with the ability to plug in verticals and learns as we go. I really hope they blow past ALL current architectures.

[@droh_it]

Technical question for the founder. Can you do multivariate time series anomaly detection with liquid neural networks?

[@roycedsouza2963]

Why don’t you just use tabular analysis?

[@talentsherpa]

This week in startups us my compass. Thanks

[@petratilling2521]

This is the way.

[@juliusapriadi]

...and as usual, no word about AI Safety. Let's continue the race to AGI with better and better architecture, and then act surprised if we accidentally get killed, since no one bothered waiting for alignment to be solved.

[@PeterNooteboom]

This almost feel to good to be true. But I suppose time will tell.

[@nicktrish2008]

Please give Elon this guy’s number?

[@danielscott2062]

No. I've seen his code. Spent too much time fixing it... His Liquid CNC paper was interesting but ultimately couldn't be reproduced. The best minds create and publish clean code. Sorry Ramin.

[@ps3301]

Since Elon is a first principle analysis kind of guy, if he is presented the liquid neural network which is much better in self drive and consumes a lot less power, Elon will be adopting it if it consumes 10 times less power. Self drive chip consumes a lot of energy.

[@hobocraft0]

Finally, some good old fashioned bio mimicry. Who is the reference? God.

[@zacharydaniels3186]

Excellent point.

[@petratilling2521]

This idea that only “bad” jobs will disappear is silly. The “best” jobs will probably be the first to go.

[@user-lp9vp8ln8w]

Can someone explain to me what this "liquid" stuff is? I dont see the special of this, just a varient of ODE and even worst experiment result, in the end is this just another RNN like model?

[@abdulshabazz8597]

This technology is promising. The reason transformer models have so many parameters is for controlled tunability which can always be controlled due to the limited way hyper parameters are employed in transformer models.. What is not advised are proposed advanced architectures with builtin runaway geometric cross-learning capabilities which this model is not.

[@hamandchees3]

Wish jcal asked more about how liquid neural networks work in practice-- how are they pretrained, how sample efficient are they, do they have published scaling laws, etc.-- rather than diverge off into hot topics.

[@zacharydaniels3186]

It strikes me that this will be the sort of "brain stem" of AI that interacts with the real world while the "right brain" creativity will be transformers. My question is: where does the logical "left brain" architecture lie? Mamba?

[@innomind]

Is he Persian?

[@kuo-yingwang2273]

Lots and lots of embedded add in this channel.

[@ashh3051]

This guy seems like a quack to me :(

[@SB324]

That’s a good sign, we need a new paradigm