Ramin Hassani
๐ค SpeakerAppearances Over Time
Podcast Appearances
We looked into brains of animals, and in particular, a very, very tiny worm called C. elegans.
The fascinating fact about the brain of the worm is that it shares 75% of the genome that it has with humans.
We have the entire genome mapped.
So we understand a whole lot about the functionality of its nervous system as well.
So if you understand the properties of cells in the worm...
Maybe we can build intelligent systems that are as good as the worm and then evolve them into systems that are better than even humans.
The reason why we are studying nature is the fact that we can actually bring a shortcut through evolution.
exploring all the possible kind of algorithms that you can design you can look into nature that would give you like a shortcut to really faster get into efficient because nature has done a lot of search billions of years of evolution right so we learned so much from those principles i just brought a tiny principle from the worm
into artificial neural networks, and now they are flexible and they can solve problems in an explainable way that was not possible before.
AI is becoming very capable, right?
The reason why AI is hard to regulate is because we cannot understand the system.
Even the people who design the systems, we don't understand those systems.
They are black boxes.
With liquid, because we are fundamentally using mathematics that are understandable, we have tools to really understand and pinpoint which part of the system is responsible for what.
You're designing white box systems.
So if you have systems that you can understand their behavior, that means even if you scale them into something very, very intelligent, you can always have a lot of control over that system because you understand it.
You can never let it go rogue.
So all of the crises we're dealing with right now, you know, doomsday kind of scenarios, is all about scaling a technology that we don't understand.
We liquidate our purposes to really calm people down and show people that, hey, you can have very powerful systems
that you have a lot of control and visibility into their working mechanisms.