Replicating something exactly is a lot harder than making something that does the same thing in a different way. We can build planes that travel far faster than a bird could but that doesn’t mean it’s easy for us to exactly replicate how a bird flies, so I don’t think this says anything about how far away we are from a superintelligence

It's not only about exact simulation. And we actually do understand how birds can fly on a mechanical basis. This is not true for C.elegans' inner workings.

The bird and the airplane is such an excellent analogy!

I got it from a video I saw so I didn’t make it myself

https://youtube.com/watch?v=eaYIU6YXr3w?t=106

I’m not sure the timestamp works but it’s at 1:46

This. Submarines don't swim like fish, airplanes don't fly like birds and cars don't run like gepards.

Edit: I am surprised at the downvotes. In general, we learn from the nature, but aping it usually proved too difficult and often unpractical at the same time. Do we really want to replicate worm intelligence for practical purposes, or do we want something different?

I would say that a machine which can, say, analyze chemical compounds for their potential biological functions, is a very practical form of "intelligence" and yet very far from any biological intelligence that was ever produced in vivo. Worms cannot do that and even humans struggle with such tasks.

Yeah, but we understand why birds can fly and why fish can swim and how gepards can run, at least on a mechanical basis.

This is not true for how this 302 cell organism works. We don't know and struggle to understand. That's actually the reason why the project exists. To find out how everything works with an bottom-up approach.

While we may find shortcuts or even superior forms of intelligence without understanding how intelligence works in biological creatures, it is still curious how we struggle even with a "simple" organism like C.elegans.

Except understanding how a bird can fly had little bearing on building the Wright brothers flyer.

And most of the details of bird flight were not exactly discovered till well after commercial air travel was commonplace.

While the exact details were not understood, the mechanics were visible and explainable to some extent. The Wright brothers were at least inspired by birds. https://www.wright-brothers.org/History_Wing/Wright_Story/In...

We still don't know how cells in C. elegans work together. It's neither visible nor explainable on a satisfying level.

No but we observably do know that that the connections between cells are important, to the point that by mimicking that we've derived significant benefit.

The Wright flyer didn't flap, and the wings only superficially look like anything a bird has.

> No but we observably do know that that the connections between cells are important, to the point that by mimicking that we've derived significant benefit.

That is true and it shows even more how important observabilty is for science and engineering. That's also why a simulation that actually provides an accurate enough model of reality might help us so much. The problem with AI right now is, that we try or even claim to understand Unix by mimicking the functionality of transistors.

> The Wright flyer didn't flap, and the wings only superficially look like anything a bird has.

They tried to mimick bird wings when coming up with flight control mechanisms.

And for some reason it is because somehow life is not able the produce rotating axles?

Not only, it's also because of the square/cube law making it impossible to have a 50 ton flyer that flies in the same manner as a 5 kg flyer, you can't simply scale things up.

Rotating molecular motors exist (a proton powered turbine in the video)

http://biovisions.mcb.harvard.edu/anim_mitochondria.html

You mean like this? https://en.wikipedia.org/wiki/Flagellum

In defense of the project: they’ve been working a lot over the last 10 years. They recently published what they call a “liquid neural network” where they’ve isolated the neuron structure doing the work. It outperforms CNNs for some niche tasks, and it uses a fraction of the resources.

Just to make this clear, I think this project is actually one of the few sane engineering approaches for starting to understand how our brain works. Sure, claims of simulating a cat brain or even a human brain in some manner are much more catchy, but it seems to be pretty arrogant if we struggle even with C.elegans.