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<v Speaker 1>Welcome to the Neuralink presentation. This is an update for

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<v Speaker 1>the progress from the neuralink team. It's been an incredible

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<v Speaker 1>amount of progress.

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<v Speaker 2>This is.

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<v Speaker 1>We're going to start off high level generally describing what

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<v Speaker 1>neuralink is doing, and then we're going to have a

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<v Speaker 1>very deep technical dive so you can actually get an

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<v Speaker 1>understanding of what exactly we're doing at a granule level

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<v Speaker 1>and what we can do to enhance human capabilities and

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<v Speaker 1>ultimately build a great future for humanity. So that's a neuronspiring.

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<v Speaker 1>It's funny thing that me talking right now is a

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<v Speaker 1>bunch of neurons firing that then result in speech.

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<v Speaker 2>That you here. Of course, neurons to fire in your brain.

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<v Speaker 3>Part of.

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<v Speaker 1>This presentation is about demystifying the brain. It is a

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<v Speaker 1>remarkable organ. I mean we are the brain. Basically when

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<v Speaker 1>you say you that really is uh, you're the brain.

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<v Speaker 1>Like you can you can get a heart transplant, you

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<v Speaker 1>can get a kidney transplant, but I don't know anyone

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<v Speaker 1>who's gotten a brain transplant.

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<v Speaker 2>So you are your brain.

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<v Speaker 1>And your experiences are these neurons firing with the trillions

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<v Speaker 1>of synapses.

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<v Speaker 2>That somehow lead to conscious comprehension of the world.

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<v Speaker 1>This is something that we have only begun to understand.

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<v Speaker 1>We're really just barely at the beginning of understanding of

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<v Speaker 1>what is the nature of consciousness. And I've thought a

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<v Speaker 1>lot about what what is consciousness?

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<v Speaker 2>What is it? Where does consciousness arise?

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<v Speaker 1>Because if you start at the beginning of the universe,

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<v Speaker 1>assuming physics is true, the physic current, the standard model

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<v Speaker 1>of physics is true, then you have this.

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<v Speaker 2>Big bang, the matter condensing.

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<v Speaker 1>Into stars, those stars exploding, a lot of the atoms

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<v Speaker 1>that are in your body. Right now, we're once at

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<v Speaker 1>the center of stars, those stars exploded, recondensed. Fast forward

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<v Speaker 1>thirteen point eight billion years, and here we are. And

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<v Speaker 1>somewhere along that very long journey to us, at least

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<v Speaker 1>consciousness arose or the molecules started talking to each other.

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<v Speaker 1>And it begs the question of what is consciousness? Is

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<v Speaker 1>is everything conscious? Maybe it's hard to say where along

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<v Speaker 1>that line that there's no sort of discrete point where

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<v Speaker 1>consciousness didn't exist, and then suddenly it does exist. It

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<v Speaker 1>seems to be maybe you have a condensation of matter

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<v Speaker 1>that has a density of like we don't know what

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<v Speaker 1>really the real answer is, we don't know what consciousness is.

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<v Speaker 1>But with the neural link and the progress of the

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<v Speaker 1>company's making, will begin to understand a lot more about

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<v Speaker 1>consciousness and what does it mean to to be. Along

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<v Speaker 1>the way, we're we're going to solve a lot of

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<v Speaker 1>a lot of brain issues where the brains get uh

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<v Speaker 1>injury or damaged in some way or didn't develop in

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<v Speaker 1>quite the right way. But there's yeah, there's there's a

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<v Speaker 1>lot of brain in spine injuries that will so along

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<v Speaker 1>the way. And I do want to have size that

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<v Speaker 1>this is all going to happen quite slowly, meaning you'll

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<v Speaker 1>you'll see it coming. Sometimes people think that suddenly there

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<v Speaker 1>will be vast numbers of neural links all over the place.

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<v Speaker 1>This is not going to be sudden. You'll be able

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<v Speaker 1>to watch it happen, you know, over the course of

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<v Speaker 1>several years. And we go through exhaustive regulatory approvals. So

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<v Speaker 1>this is not something that we're just doing there by

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<v Speaker 1>ourselves without governor oversight. We work closely with the regulators

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<v Speaker 1>every sepular way. We're very cautious with the neural links

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<v Speaker 1>and humans. That's the reason we're not moving faster than

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<v Speaker 1>we are is because we're taking great care with each

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<v Speaker 1>individual to make sure we never miss and so far

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<v Speaker 1>we haven't, and I hope that continues into the future.

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<v Speaker 1>Every single one of our implants and humans is working

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<v Speaker 1>and working quite well, and you'll get to hear from

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<v Speaker 1>some of the people that have received the implants and

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<v Speaker 1>care it in their words. So what we're creating here

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<v Speaker 1>with a neuralink device is a generalized input output.

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<v Speaker 2>Technology for the brain.

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<v Speaker 1>So it's how do you get information into or out

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<v Speaker 1>of the brain and do so in a way that

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<v Speaker 1>does not damage the brain or you know, of course

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<v Speaker 1>any negative side effects. So it's a very hard problem

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<v Speaker 1>and generally the reactions I've seen to this range from

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<v Speaker 1>it's impossible to it's already been done before those people

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<v Speaker 1>should meet. Actually, the reality is that there actually have

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<v Speaker 1>been limited brain to computer interfaces for several decades on

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<v Speaker 1>a very basic basis. Just what we're doing with neurlink

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<v Speaker 1>is dramatically increasing the bandwidth by many or as the magnitude,

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<v Speaker 1>so you can you can a human bandwidth output is

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<v Speaker 1>less than one bit per second over the course of

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<v Speaker 1>a day, so there's eighty six seconds in a day.

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<v Speaker 1>It's very rare for a person to do more than

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<v Speaker 1>eighty six thousand, four hundred bits of output per day.

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<v Speaker 1>You'd have to be really talking a lot or typing

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<v Speaker 1>all day and you might exceed that. So what we're

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<v Speaker 1>talking about here is going from maybe one bit per

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<v Speaker 1>second to ultimately megabits and then gigabits per second, and

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<v Speaker 1>the ability to do conceptual consensual tlepathy. Now, the input

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<v Speaker 1>to the rate is much higher because especially because of vision,

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<v Speaker 1>depending upon how you counted, it might be on the

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<v Speaker 1>order of a megabit or in the megabt range for input,

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<v Speaker 1>primarily due to site, but even for input, we think

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<v Speaker 1>that can be traumatic increased to the.

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<v Speaker 2>Gig of it plus level.

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<v Speaker 1>And a lot of the thinking that we do is

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<v Speaker 1>which we take a concept in our mind and we

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<v Speaker 1>compress that into a small number of symbols. So when

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<v Speaker 1>you're trying to communicate with somebody else, you're actually trying

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<v Speaker 1>to model their mind state and then take peraps quite

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<v Speaker 1>a complex idea that you have, maybe even a complex

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<v Speaker 1>image or scene or kind of mental video, and try

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<v Speaker 1>to compress that into a few woods or a few keystrokes,

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<v Speaker 1>and it's necessarily.

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<v Speaker 2>Going to be very lossy.

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<v Speaker 1>Your ability to communicate is very limited by how fast

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<v Speaker 1>you can talk and how fast you can type, and

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<v Speaker 1>what we're talking about is unlocking that potential to enable

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<v Speaker 1>you to communicate, like I said, thousands, perhaps millions of

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<v Speaker 1>times faster than is currently possible. This is an incredibly

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<v Speaker 1>profound breakthrough. This would this would be a fundamental change

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<v Speaker 1>to what it means to be a human. So we're

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<v Speaker 1>starting off with reducing human suffering, so or addressing issues

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<v Speaker 1>that people have, save if they've been in an accident,

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<v Speaker 1>or they have some uh neural disease that's degenerative, so

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<v Speaker 1>they're losing capability to move their body, or some some

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<v Speaker 1>kind of injury. Essentially, so enabling the first products is

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<v Speaker 1>called telepathy, and that enables someone who has lost the

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<v Speaker 1>ability to command their body to be able to communicate

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<v Speaker 1>with a computer and move the mouse and actually operate

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<v Speaker 1>a computer with roughly the same dexterity, ultimately much more

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<v Speaker 1>dexterity than a human with working hands. Then our next

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<v Speaker 1>product is blind sight, which will enable those who have

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<v Speaker 1>total loss of visioning they've lost their eyes or the

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<v Speaker 1>optic nerve or maybe i've never seen, we're even blind

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<v Speaker 1>from birth, to be able to see again, initially low resolution,

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<v Speaker 1>but ultimately very high resolution, and then in multiple wavelengths,

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<v Speaker 1>so you could be like Jordie LaForge in Star Trek

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<v Speaker 1>and you can see in radar, you can see infrared, ultraviolet,

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<v Speaker 1>superhuman capabilities, sebernetic enhancement essentially, and then along the way

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<v Speaker 1>this should help us understand a lot more about consciousness,

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<v Speaker 1>what does it mean to be a conscious creature? Well,

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<v Speaker 1>understand vastly more about the nature of consciousness as a

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<v Speaker 1>result of this, and then ultimately I think this helps

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<v Speaker 1>mitigate the civilizational risk of artificial intelligence. We are actually

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<v Speaker 1>already we're ready to sort of have three layers of thinking.

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<v Speaker 1>There's the olympic system, which is your kind of your instincts,

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<v Speaker 1>your cortical system, which is your higher level planning and thinking.

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<v Speaker 1>And then the tertiary layer, which is the computers and

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<v Speaker 1>machines that you interact with, like your phone, all the

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<v Speaker 1>applications you use.

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<v Speaker 2>So people actually are already a cyborg.

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<v Speaker 1>You can maybe have an intuitive sense for this by

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<v Speaker 1>how much you miss your phone if you leave it behind.

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<v Speaker 1>Leaving your phone behind is like it's almost like missing

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<v Speaker 1>limbs syndrome.

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<v Speaker 2>Your phone is somewhat of an extension of yourself, as

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<v Speaker 2>is your computer.

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<v Speaker 4>So you.

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<v Speaker 1>Already have this digital tertie layer, but the bandwidth between

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<v Speaker 1>your cortex and your digital tertie layer is limited by

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<v Speaker 1>speech and by and by half fast you can move

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<v Speaker 1>your fingers, and how fast you can consume information visually.

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<v Speaker 1>So so, but I think it's actually very important for

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<v Speaker 1>us to address that input output boundwidth constraint in order

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<v Speaker 1>for the collective will of humanity to match the will

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<v Speaker 1>of artificial intelligence. That's my intuition at least. So let's see,

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<v Speaker 1>and what this presentation is mostly about is attracting smart

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<v Speaker 1>humans to come and work with us on this problem.

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<v Speaker 1>So this is not a presentation to raise money or

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<v Speaker 1>anything like that.

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<v Speaker 2>We're actually, you know, very well funded.

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<v Speaker 1>We have a lot of great investors, some of the

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<v Speaker 1>smartest people in the world are invested in neur Link.

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<v Speaker 1>But we we need smart humans to come here and

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<v Speaker 1>help solve this problem. So with that, let's uh, let's proceed.

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<v Speaker 5>Hey everyone, my name is DJ I'm my co founder

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<v Speaker 5>and president of Neuralink. And as Elon mentioned, well, actually

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<v Speaker 5>we're standing in the middle of our robust space. We

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<v Speaker 5>have a stage set up, but you know, this is

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<v Speaker 5>actually where some of the next generation, most advanced surgical

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<v Speaker 5>robots are being built, so welcome to our space. It's

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<v Speaker 5>important to highlight that this technology is not being built

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<v Speaker 5>in the dark. This is not a secret lab where

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<v Speaker 5>we're not sharing any of the progress. In fact, we're

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<v Speaker 5>actually sharing you know, the progress very openly and as

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<v Speaker 5>well as also telling you exactly what we're going to

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<v Speaker 5>be doing, and we're hoping to progress on that as

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<v Speaker 5>as diligently and as safely and as carefully as possible.

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<v Speaker 5>So to start off, two years ago, when we did

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<v Speaker 5>our previous fundraising round, we outlined this path and timeline

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<v Speaker 5>to first human and we currently have a clinical trials

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<v Speaker 5>in the US for a product that we call Telepathy,

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<v Speaker 5>which allows users to control phone or computer purely with

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<v Speaker 5>their thoughts. And you're going to see how we do

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<v Speaker 5>this and what the impact that this has had. And

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<v Speaker 5>not only have we launched this clinical trial, but as

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<v Speaker 5>of today we have not just one, but seven.

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<v Speaker 6>Participants and we have an approval.

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<v Speaker 5>And we also have an approval to launch this trial

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<v Speaker 5>in Canada, UK and the UAE. So I guess before

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<v Speaker 5>we dive into what this technology is and what we built,

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<v Speaker 5>but I wanted to quickly share a video with you

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<v Speaker 5>guys of when our first five parts participants met each

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<v Speaker 5>other for the first time.

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<v Speaker 2>So here you go.

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<v Speaker 6>All right, we have everyone together up.

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<v Speaker 2>Guys, thanks everybody joining. Want to use of you.

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<v Speaker 7>Yeah, I'm Nolan aka P one.

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<v Speaker 8>My name is Alex. I am the second participant in

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<v Speaker 8>the Neuralink study.

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<v Speaker 2>I am Brad Smith. Let's cycle P three.

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<v Speaker 9>My name and my G four have.

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<v Speaker 4>Less like.

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<v Speaker 3>Uh yeah, I'm marj I'm P five and I just yes,

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<v Speaker 3>I'm kind of to one of the team heres. So yeah,

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<v Speaker 3>appreciate it. No trail blazer, you know, somebody's got to

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<v Speaker 3>get first. Man, that was you.

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<v Speaker 2>Appreciate that.

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<v Speaker 10>What's been your favorite thing you've been able to do

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<v Speaker 10>with the neuralink so far.

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<v Speaker 7>I've just had a good time being able to use

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<v Speaker 7>it as I travel buying and drawn.

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<v Speaker 2>A little mustache on a cat.

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<v Speaker 7>Had a lot of fun doing that. I mean, I've

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<v Speaker 7>just had a good time playing around with it.

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<v Speaker 2>Oh you know what, But I.

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<v Speaker 7>Do know what My favorite BCI feature is probably not

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<v Speaker 7>a feature, but I just I love web Grid more

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<v Speaker 7>than I love anything in my life. Probably I think

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<v Speaker 7>I could play that game NonStop forever.

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<v Speaker 8>Has to be Fusion three sixty being able to design parts,

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<v Speaker 8>design the hat logo with the BCI.

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<v Speaker 2>That's what's up?

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<v Speaker 11>Pretty sweet?

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<v Speaker 2>That's sweet?

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<v Speaker 8>Yeah, Yeah, I have a little uh are do we know?

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<v Speaker 8>That takes input from my quad stick converts it into

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<v Speaker 8>a PPM signal to go to an RC truck.

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<v Speaker 9>Cool little rock crawler.

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<v Speaker 8>Well with the BCI, I room code to drive the

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<v Speaker 8>plane with the quad stick.

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<v Speaker 6>That's awesome.

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<v Speaker 1>The best thing I like Abunerline is being able to

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<v Speaker 1>continue to provide.

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<v Speaker 7>For my family and continue working.

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<v Speaker 3>I think my favorite things probably been able to turn

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<v Speaker 3>on my TV. Yeah, like the first time in two

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<v Speaker 3>and a half years. I was able to do that.

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<v Speaker 3>That's pretty sweet with a right shooting the all base.

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<v Speaker 3>That's that's sound nice. Excited to see it. BCIs got

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<v Speaker 3>going on?

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<v Speaker 11>They got a car?

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<v Speaker 8>What's your shirts say?

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<v Speaker 11>Is it?

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<v Speaker 3>I do a thing called whatever I want.

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<v Speaker 6>Now.

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<v Speaker 5>One of the major figure of merits that we have

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<v Speaker 5>is to keep track of monthly hours of independent DCI use. Effectively,

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<v Speaker 5>are they using the BCI and not at the clinic

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<v Speaker 5>but at their home? And what we have noticed, and

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<v Speaker 5>this is a plot of all of the different participants,

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<v Speaker 5>first five participants and their usage per month over the

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<v Speaker 5>course of the last year and a half and we're

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<v Speaker 5>averaging around fifty hours a week of usage and in

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<v Speaker 5>some cases peak usage of more than one hundred hours

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<v Speaker 5>a week, which is pretty much every waking moments. So

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<v Speaker 5>I think it's been incredible to see all of our

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<v Speaker 5>participants demonstrating greater independence through their use of PCI. Not

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<v Speaker 5>only that, we've also accelerated our implantation cadence as we've

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<v Speaker 5>amassed evidence of both clinical safety as well as value

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<v Speaker 5>to our participants. So to date, we have four spinal

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<v Speaker 5>cord injury participants as well as three ALS participants, with

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<v Speaker 5>the last two surgeries happening within one week of each other,

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<v Speaker 5>and we're just beginning.

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<v Speaker 6>This is just tip of the iceberg.

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<v Speaker 5>Our end goal is to really build a whole brand interface.

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<v Speaker 5>And what do we mean by whole brand interface. We

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<v Speaker 5>mean being able to listen to neurons everywhere, be able

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<v Speaker 5>to write information to neurons anywhere, be able to have

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<v Speaker 5>that fast data wireless transfer, to enable that high bandwidth

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<v Speaker 5>connection from our biological brain to the external machines, and

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<v Speaker 5>be able to do all of this with fully automated surgery,

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<v Speaker 5>as well as enable twenty four hours of usage, and

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<v Speaker 5>towards that goal, we're really working on three major product types.

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<v Speaker 5>Elon mentioned earlier that our goals to build a generalized

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<v Speaker 5>input output platform and technology to the brain so to

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<v Speaker 5>afford the output portion of it, which is extremely slow,

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<v Speaker 5>through our meat sticks, as Elon calls them.

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<v Speaker 6>Meet hands that are holding the mics.

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<v Speaker 5>We're starting out with helping people with movement disorders, either

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<v Speaker 5>through where they lost a mind body connection, either through

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<v Speaker 5>a spinal cor injury ALS or a stroke, be able

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<v Speaker 5>to regain some of that digital as well as physical

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<v Speaker 5>independence through a product that we're building called Telepathy, and

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<v Speaker 5>this is our opportunities to build a high channel read

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<v Speaker 5>and output device. On the input side of things, there's

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<v Speaker 5>opportunities for us to help people that have lost the

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<v Speaker 5>ability to see be able to regain that site again

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<v Speaker 5>through a product that we're calling blind Site, and this

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<v Speaker 5>is our opportunity to build high channel right capabilities and

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<v Speaker 5>last but not least, be able to also help people

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<v Speaker 5>that are suffering from neurological debilitating dysregulation or psychiatric conditions

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<v Speaker 5>or neuropathic pain by inserting our electros in reaching any

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<v Speaker 5>brain regions to be able to insert them not just

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<v Speaker 5>on the cortical layer, but into the sulk guys as

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<v Speaker 5>well as deeper parts of the brain, the so called

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<v Speaker 5>limbic system, to really enable better opportunities to just regain

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<v Speaker 5>some of that independence. Our north Star metrics is one

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<v Speaker 5>increasing the number of neurons that we can interface with,

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<v Speaker 5>and second to expand to many diverse areas any parts

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<v Speaker 5>of the brain, starting with microfabrication or lithography to change

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<v Speaker 5>the way in which we can actually increase the number

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<v Speaker 5>of neurons that we can see from a single channel,

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<v Speaker 5>and also doing mixed signal chip design to actually increase

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<v Speaker 5>the physical channel counts to increase more neurons that we

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<v Speaker 5>can interface to to sort of allow more information from

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<v Speaker 5>the brain to the outside world.

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<v Speaker 2>And then you.

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<v Speaker 5>Know, everything we built from day one of the company

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<v Speaker 5>has always been read and write capable, and with Telepathy

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<v Speaker 5>our first product, the focus has been on the read

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<v Speaker 5>capabilities or the output and we want to hone in

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<v Speaker 5>on our right capability and also show that through accessing

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<v Speaker 5>deeper regions within the visual cortex that we can actually

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<v Speaker 5>achieve functional vision. So now just to step you through

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<v Speaker 5>what the product evolution is going to look like in

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<v Speaker 5>the next three years, today, what we have is one

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<v Speaker 5>thousand electrodes in the motor cortex, the part of the

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<v Speaker 5>small part of the brain that you see in this

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<v Speaker 5>animation called the hand knob area that allows participants control

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<v Speaker 5>computer cursors as well as gaming consoles.

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<v Speaker 6>Next quarter, we're planning to implant in.

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<v Speaker 5>The speech cortex to directly decode attentive words from brain

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<v Speaker 5>signals to speech. And in twenty twenty six, not only

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<v Speaker 5>are we going to triple the number of electrodes from

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<v Speaker 5>one thousand to three thousand for more capabilities, we're planning

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<v Speaker 5>to have our first blind site participant to enable navigation.

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<v Speaker 5>And in twenty twenty seven we're going to continue increasing

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<v Speaker 5>channel counts, probably another triple, so ten thousand channels, and

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<v Speaker 5>also enable for the first time multiple implants, so not

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<v Speaker 5>just one in mortal cortex, speech cortex, or visual cortex,

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<v Speaker 5>but all of the above. And finally, in twenty twenty eight,

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<v Speaker 5>our goals to get to more than twenty five thousand

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<v Speaker 5>channels per implant, have multiple of these, have ability to

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<v Speaker 5>access any part of the brain for psychiatric conditions, pain dysregulation,

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<v Speaker 5>and also start to demonstrate.

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<v Speaker 6>What it would be like to actually integrate with AI,

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<v Speaker 6>and all of.

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<v Speaker 5>This is to say that we're really building towards set

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<v Speaker 5>of fundamental foundational technology that would allow us to have

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<v Speaker 5>hundreds of thousands, if not millions, of channels with multiple

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<v Speaker 5>implants for whole bit interfaces that could actually solve not

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<v Speaker 5>just these devoltating neurological conditions, but be able to go

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<v Speaker 5>beyond the limits of our biology.

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<v Speaker 6>And this vertical integration.

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<v Speaker 5>And the talented team that we have at Neuralink has

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<v Speaker 5>been and will continue to be the key recipe for

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<v Speaker 5>rapid progress that we will be making. Just to recap

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<v Speaker 5>real quick, neuralink is implanted with precision surgical robot. It's

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<v Speaker 5>physically invisible, and one week later users are able to

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<v Speaker 5>see their thoughts transform into actions and to share more

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<v Speaker 5>about what that experience is like. I like to welcome

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<v Speaker 5>to Hedge to the stage.

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<v Speaker 12>What's up, guys. My name is Sahedge. I'm from the

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<v Speaker 12>Brain Computer Inner team here at Neuralink, and I'm going

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<v Speaker 12>to be talking about two things today. The first thing

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<v Speaker 12>is what exactly is a neuralink device capable of doing

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<v Speaker 12>right now? And the second one is how does that

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<v Speaker 12>actually impact the day to day lives of our users?

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<v Speaker 12>Very simply put, what the neuralink device does right now

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<v Speaker 12>is it allows you to control devices simply just by thinking. Now,

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<v Speaker 12>to put that a bit more concretely, I'm about to

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<v Speaker 12>play a video of our first user. His name is Noland,

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<v Speaker 12>if you remember from DJ section, And what Nolan is

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<v Speaker 12>doing is he's looking at a normal off the shelf

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<v Speaker 12>MacBook Pro and with his neuralink devices, you're going to

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<v Speaker 12>see he's going to be able to control the cursor

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<v Speaker 12>simply with his mind, no eye tracking, no other sensors.

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<v Speaker 12>And what's special about this particular moment is this is

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<v Speaker 12>the first time someone is using a neuralink device to

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<v Speaker 12>fully control their cursor. This is not your ordinary brain

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<v Speaker 12>controlled cursor. This is actually a record breaking control, literally

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<v Speaker 12>on day one, beating decades of brain computer research. And

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<v Speaker 12>I'm about to show you the clip on day one,

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<v Speaker 12>Nolan breaking the b c I world record.

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<v Speaker 9>Ship good.

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<v Speaker 12>Man, he's a new world record holder.

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<v Speaker 2>There's one of surprise.

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<v Speaker 9>I thought it was higher.

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<v Speaker 7>I thought I would have to get to five or something.

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<v Speaker 9>Oh my gosh, that's crazy.

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<v Speaker 11>It's pretty cool.

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<v Speaker 2>Uh yeah.

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<v Speaker 12>Another really fun thing you could do with the neuralink

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<v Speaker 12>device outside of controlling a computer cursors. You can actually

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<v Speaker 12>plug it in through USB through a lot of different devices.

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<v Speaker 12>And here we actually have Nolan playing Mario Kart. Now,

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<v Speaker 12>what's special about this particular clip is Nolan is not

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<v Speaker 12>the only cyborg playing Mario Kart.

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<v Speaker 2>In this clip.

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<v Speaker 12>We actually have a whole community of users as mentioned earlier,

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<v Speaker 12>and this is literally five of our first users of

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<v Speaker 12>neuraling playing Mario Kart together over call. Yeah, now, yeah,

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<v Speaker 12>Mario Kart.

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<v Speaker 2>Is it's cool?

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00:26:35.319 --> 00:26:37.680
<v Speaker 12>You know you're using one joystick and then you're clicking

403
00:26:37.680 --> 00:26:40.319
<v Speaker 12>like a couple of buttons to throw items. What would

404
00:26:40.359 --> 00:26:43.119
<v Speaker 12>be even cooler is what if you could control two

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00:26:43.200 --> 00:26:47.319
<v Speaker 12>joysticks at once simultaneously with your mind. When I'm about

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<v Speaker 12>to show you, and I think this is for the

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<v Speaker 12>first time someone playing a first person shooter game with

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<v Speaker 12>a brain computer interface. This is Alex and r J

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<v Speaker 12>playing Call of Duty, controlling one joystick to move and

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<v Speaker 12>then the other stick to I think, point your gun,

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00:27:01.799 --> 00:27:04.119
<v Speaker 12>and then shooting people as a button. Uh, here's the

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00:27:04.240 --> 00:27:07.559
<v Speaker 12>larger here's Alex shooting another person.

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<v Speaker 3>Oh dear God, I don't know what to do, and

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00:27:13.880 --> 00:27:16.920
<v Speaker 3>I'm wanting to freaking shoot you. When I do, I

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00:27:18.400 --> 00:27:19.960
<v Speaker 3>notice shot in the face.

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<v Speaker 12>Now that we have a bit of a sense of

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<v Speaker 12>what the bc I can do, a very important question

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<v Speaker 12>to answer is how does this impact the day to

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<v Speaker 12>day lives of the people that use it every day.

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<v Speaker 12>So I'm about to show you a clip going back

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<v Speaker 12>to Nolan for a second, where he talks. We simply

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00:27:39.200 --> 00:27:42.519
<v Speaker 12>just asked him randomly during the day how he enjoys

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<v Speaker 12>using the bc I a couple of months ago, and

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<v Speaker 12>this is his candid reaction.

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<v Speaker 13>I work basically all day from when I wake up

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00:27:52.759 --> 00:27:55.400
<v Speaker 13>trying to wake up at like six or seven am,

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00:27:56.240 --> 00:27:59.920
<v Speaker 13>and I'll do work until session. I'll do session, and

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<v Speaker 13>then I'll work until you know, eleven, twelve pm or

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00:28:06.319 --> 00:28:13.880
<v Speaker 13>twelve am. While I'm doing, like I'm learning my languages,

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00:28:14.279 --> 00:28:18.920
<v Speaker 13>I'm learning my math, I'm like relearning all of my math.

431
00:28:19.640 --> 00:28:25.079
<v Speaker 13>I am writing, I am doing the class that I

432
00:28:25.160 --> 00:28:28.079
<v Speaker 13>sign up for, And I just I wanted to point

433
00:28:28.079 --> 00:28:31.880
<v Speaker 13>out that, like, this is not something I would be

434
00:28:31.920 --> 00:28:35.079
<v Speaker 13>able to do out like without the NEURALNK.

435
00:28:35.880 --> 00:28:37.839
<v Speaker 12>Next, I want to talk a bit about Brad. You

436
00:28:37.839 --> 00:28:40.559
<v Speaker 12>guys may already know him as the ALS cyborg, and

437
00:28:40.799 --> 00:28:43.440
<v Speaker 12>Brad also has ALS and what separates him from our other

438
00:28:43.480 --> 00:28:47.640
<v Speaker 12>users is he's actually nonverbal, so he can't speak. Why

439
00:28:47.680 --> 00:28:50.799
<v Speaker 12>this is pretty relevant is he relies, at least before

440
00:28:50.839 --> 00:28:54.000
<v Speaker 12>the neuralink on an igaze machine to communicate, and a

441
00:28:54.000 --> 00:28:56.920
<v Speaker 12>lot of I Gaze machines you can't use outdoors. You

442
00:28:57.079 --> 00:28:59.680
<v Speaker 12>really need like a dark room. So what this means

443
00:28:59.720 --> 00:29:02.119
<v Speaker 12>is for the last six years since Brad's been diagnosed

444
00:29:02.119 --> 00:29:06.359
<v Speaker 12>with alas, he's really unable to leave his house. Now

445
00:29:06.359 --> 00:29:08.079
<v Speaker 12>with the neuralink device, We're gonna show you a clip

446
00:29:08.400 --> 00:29:11.160
<v Speaker 12>of him with his kids at the park, shot by

447
00:29:11.200 --> 00:29:12.240
<v Speaker 12>Ashley Vance and the team.

448
00:29:12.440 --> 00:29:16.400
<v Speaker 3>Okay here ready, you absolutely do.

449
00:29:17.720 --> 00:29:20.119
<v Speaker 14>I am absolutely doing more with Neuralink than I was

450
00:29:20.119 --> 00:29:25.599
<v Speaker 14>doing with I Games. I have been a batman for

451
00:29:25.640 --> 00:29:29.519
<v Speaker 14>a long time, but I go outside now. Going outside

452
00:29:29.519 --> 00:29:32.759
<v Speaker 14>has been a huge blessing for me, and I can

453
00:29:32.799 --> 00:29:34.359
<v Speaker 14>control the computer with telepody.

454
00:29:34.720 --> 00:29:35.400
<v Speaker 9>Dad's watching.

455
00:29:36.039 --> 00:29:37.680
<v Speaker 15>Look, he's watching on the camera.

456
00:29:39.319 --> 00:29:40.200
<v Speaker 14>One of the arms.

457
00:29:40.880 --> 00:29:43.079
<v Speaker 12>The last user I want to talk about is Alex.

458
00:29:43.279 --> 00:29:46.079
<v Speaker 12>You've seen some clips of him earlier. What's specially about

459
00:29:46.079 --> 00:29:49.160
<v Speaker 12>Alex to me is he's a fellow left handed guy

460
00:29:49.160 --> 00:29:51.680
<v Speaker 12>who writes some cursive all the time. And what he

461
00:29:51.799 --> 00:29:54.279
<v Speaker 12>mentioned is since his spinal cord injury from like three

462
00:29:54.400 --> 00:29:58.480
<v Speaker 12>four years ago. He's been unable to just like draw

463
00:29:58.680 --> 00:30:01.759
<v Speaker 12>or write, and he always brags about how good his

464
00:30:01.759 --> 00:30:03.599
<v Speaker 12>handwriting was. So we actually got to put it in

465
00:30:03.640 --> 00:30:05.640
<v Speaker 12>the test. We gave him a robotic arm. And I

466
00:30:05.640 --> 00:30:07.519
<v Speaker 12>think this is the first time you tried using the

467
00:30:07.599 --> 00:30:10.559
<v Speaker 12>robotic arm to write anything. And this is a spouta

468
00:30:10.680 --> 00:30:14.039
<v Speaker 12>version of writing at the Convoy trial and drawing something.

469
00:30:16.640 --> 00:30:17.200
<v Speaker 2>Sounds like that.

470
00:30:22.640 --> 00:30:26.000
<v Speaker 12>Now, Yeah, controlling a robotic arm is cool. Uh, but

471
00:30:26.079 --> 00:30:28.480
<v Speaker 12>this one has a clamp. And what would be cooler

472
00:30:29.079 --> 00:30:31.759
<v Speaker 12>is if you could decode the actual fingers, the actual wrist,

473
00:30:31.839 --> 00:30:33.720
<v Speaker 12>all the muscles of the hand in real time.

474
00:30:35.119 --> 00:30:36.440
<v Speaker 2>Just in the past couple of weeks.

475
00:30:37.000 --> 00:30:39.640
<v Speaker 12>Uh, we were able to do that with Alex, and

476
00:30:39.759 --> 00:30:42.599
<v Speaker 12>you're about to see him and his uncle, uh playing

477
00:30:42.640 --> 00:30:43.240
<v Speaker 12>a game.

478
00:30:43.359 --> 00:30:50.720
<v Speaker 16>Rock Favor Scissors, Shoot damn It, rock vapor saissors, Shoot

479
00:30:51.839 --> 00:31:07.319
<v Speaker 16>rock paper says or shoot rock paper saissor shoot that.

480
00:31:07.720 --> 00:31:21.279
<v Speaker 12>Some more cool controlling. Yeah, that's pretty dope.

481
00:31:21.279 --> 00:31:21.640
<v Speaker 11>I don't know.

482
00:31:26.960 --> 00:31:30.880
<v Speaker 12>And uh, controlling a robotic hand on screen is obviously

483
00:31:30.920 --> 00:31:35.440
<v Speaker 12>not super helpful for most people. Fortunately, we have connections

484
00:31:35.599 --> 00:31:40.000
<v Speaker 12>with Tesla who have the Optimist hand, and we're actually

485
00:31:40.119 --> 00:31:45.000
<v Speaker 12>actively working on giving Alex an Optimist hand so that

486
00:31:45.079 --> 00:31:48.000
<v Speaker 12>you could actually control it in his real life. And

487
00:31:48.160 --> 00:31:51.319
<v Speaker 12>here's actual replay of the end of that video using

488
00:31:51.440 --> 00:31:53.480
<v Speaker 12>Alex's neural signals on an optist hand.

489
00:31:53.799 --> 00:31:54.880
<v Speaker 2>Sean, if you want to play that.

490
00:32:02.160 --> 00:32:07.480
<v Speaker 11>Yeah, actually let me.

491
00:32:07.559 --> 00:32:10.319
<v Speaker 1>Let me maybe add a few things to that, which

492
00:32:10.359 --> 00:32:16.559
<v Speaker 1>is so as we advance the neural link devices, your

493
00:32:16.720 --> 00:32:21.680
<v Speaker 1>Chevelte actually have a full body control and sensors from

494
00:32:21.839 --> 00:32:26.400
<v Speaker 1>an Optimist robot, So you could basically inhabit an Optimist robot.

495
00:32:26.440 --> 00:32:29.519
<v Speaker 1>It's not just the hand, the whole the whole thing.

496
00:32:30.640 --> 00:32:35.359
<v Speaker 1>So you could like basically mentally remote into an Optimist

497
00:32:36.200 --> 00:32:36.759
<v Speaker 1>robot and.

498
00:32:37.000 --> 00:32:40.200
<v Speaker 2>And uh, be kind of cool. The future is going

499
00:32:40.279 --> 00:32:46.000
<v Speaker 2>to be weird, but but but pretty cool.

500
00:32:47.599 --> 00:32:51.680
<v Speaker 1>And then now another thing that can be down also

501
00:32:51.799 --> 00:32:54.480
<v Speaker 1>is like for people that have say lost a limb,

502
00:32:55.279 --> 00:32:59.039
<v Speaker 1>lost an armor like or something like that, then we

503
00:32:59.079 --> 00:33:02.000
<v Speaker 1>think in the future will be able to attach an

504
00:33:02.039 --> 00:33:06.599
<v Speaker 1>optimus armor legs. And so you kind of like, I

505
00:33:06.720 --> 00:33:10.960
<v Speaker 1>remember that scene from Star Wars where Luke Skywalker gets

506
00:33:10.960 --> 00:33:13.400
<v Speaker 1>his hand, you know, chopped over with the lightslaber and

507
00:33:13.480 --> 00:33:16.400
<v Speaker 1>he gets kind of a robot hand, and I think

508
00:33:16.480 --> 00:33:18.599
<v Speaker 1>that's the kind of thing that we'll be able to

509
00:33:18.680 --> 00:33:21.720
<v Speaker 1>do in the future working with the neuralink in Tesla,

510
00:33:22.559 --> 00:33:26.519
<v Speaker 1>so that it goes far beyond just operating a robot hand,

511
00:33:26.519 --> 00:33:28.720
<v Speaker 1>but replacing limbs and having kind of a whole body

512
00:33:28.799 --> 00:33:29.559
<v Speaker 1>robot experience.

513
00:33:30.160 --> 00:33:30.880
<v Speaker 2>And then I think.

514
00:33:30.960 --> 00:33:35.279
<v Speaker 1>Another thing that will be possible, I think is very

515
00:33:35.400 --> 00:33:37.720
<v Speaker 1>likely in the future, is to be able to bridge

516
00:33:39.119 --> 00:33:41.160
<v Speaker 1>where the damaged neurons are, so you can take the

517
00:33:41.319 --> 00:33:46.000
<v Speaker 1>signal from the brain and transmit that signal past where

518
00:33:46.039 --> 00:33:49.400
<v Speaker 1>the neurons are damaged or strained to the rest of

519
00:33:49.440 --> 00:33:52.200
<v Speaker 1>the body, so you could reanimate the body, so that

520
00:33:52.599 --> 00:33:54.839
<v Speaker 1>if you have a neurallink implant in the brain and

521
00:33:54.880 --> 00:33:58.759
<v Speaker 1>then one in the spinal cord, then you can actually

522
00:33:58.839 --> 00:34:03.119
<v Speaker 1>bridge the signals and you could walk again and have

523
00:34:03.400 --> 00:34:04.400
<v Speaker 1>full body functionality.

524
00:34:04.400 --> 00:34:05.880
<v Speaker 2>Obviously that's what people would prefer.

525
00:34:06.519 --> 00:34:08.840
<v Speaker 1>To be clear, we realize that that would be the

526
00:34:08.880 --> 00:34:13.480
<v Speaker 1>preferred outcome, and so that even if you have a

527
00:34:13.519 --> 00:34:18.519
<v Speaker 1>broken neck or if you saw we believe I'm actually

528
00:34:18.599 --> 00:34:20.519
<v Speaker 1>at this point I'd say fairly confident that at some

529
00:34:20.559 --> 00:34:22.920
<v Speaker 1>point in the future, well, we're able to restore full

530
00:34:22.920 --> 00:34:23.800
<v Speaker 1>body functionality.

531
00:34:31.920 --> 00:34:34.559
<v Speaker 4>Yeah, so hello, hello everyone. My name is Near and

532
00:34:34.599 --> 00:34:38.400
<v Speaker 4>I am leading the BCA application group. And I think

533
00:34:38.440 --> 00:34:41.960
<v Speaker 4>the video is that just shared with you. I probably

534
00:34:42.320 --> 00:34:45.400
<v Speaker 4>watch them maybe thousands of time, but still I get

535
00:34:45.400 --> 00:34:47.840
<v Speaker 4>a goose bump every time I watch them. And I

536
00:34:47.880 --> 00:34:49.639
<v Speaker 4>think this is one of the cool perks here at

537
00:34:49.639 --> 00:34:51.599
<v Speaker 4>new Link when you get the job, is that you

538
00:34:51.679 --> 00:34:53.719
<v Speaker 4>might get goose bump every week or maybe every few

539
00:34:53.760 --> 00:34:58.039
<v Speaker 4>days in good weeks. And and this is really fun

540
00:34:59.360 --> 00:35:02.880
<v Speaker 4>as an engine. It's really cool because you can build

541
00:35:02.880 --> 00:35:04.639
<v Speaker 4>a new feature. You can build a new machine learning

542
00:35:04.719 --> 00:35:07.840
<v Speaker 4>model and new software feature and test it on the

543
00:35:07.880 --> 00:35:12.079
<v Speaker 4>same day with a participant and get feedback. And you

544
00:35:12.159 --> 00:35:15.880
<v Speaker 4>already saw with our first device, Telepathy, that we can

545
00:35:16.079 --> 00:35:19.719
<v Speaker 4>address a very diverse needs of the different users that

546
00:35:19.760 --> 00:35:23.679
<v Speaker 4>we have for moving a cursor, to playing games, to

547
00:35:23.800 --> 00:35:27.360
<v Speaker 4>move everybody can with multiple fingers, and we could not

548
00:35:27.440 --> 00:35:29.840
<v Speaker 4>have done it without the new Link device. The neural

549
00:35:29.840 --> 00:35:32.679
<v Speaker 4>Link device gives us something that no other device can

550
00:35:32.800 --> 00:35:37.119
<v Speaker 4>give us, which is a single neuron recording from thousands

551
00:35:37.159 --> 00:35:41.239
<v Speaker 4>of channels simultaneously. The Telepathy products is basically recording the

552
00:35:41.239 --> 00:35:44.679
<v Speaker 4>neural activity from the small area and the motor context

553
00:35:44.920 --> 00:35:48.280
<v Speaker 4>that involve in execution of hand and arm movements. But

554
00:35:48.360 --> 00:35:50.639
<v Speaker 4>if we go only about two or three inches below

555
00:35:51.119 --> 00:35:55.320
<v Speaker 4>there's another branaria that's involved in execution of speech and

556
00:35:55.440 --> 00:35:59.239
<v Speaker 4>with the same device, with the same machine learning model architecture,

557
00:35:59.360 --> 00:36:02.159
<v Speaker 4>the same soft through a pipeline, the same surgical robot.

558
00:36:02.440 --> 00:36:04.360
<v Speaker 4>We can have a new application and we can do

559
00:36:04.400 --> 00:36:07.119
<v Speaker 4>it very quickly. It's really interesting that if we can

560
00:36:07.159 --> 00:36:12.599
<v Speaker 4>decode someone intention to speak silently and non vocal communication,

561
00:36:13.079 --> 00:36:16.159
<v Speaker 4>we can use that to revolutionize the way we interact

562
00:36:16.159 --> 00:36:20.760
<v Speaker 4>with computers, with technology and with information. Instead of typing

563
00:36:20.800 --> 00:36:23.719
<v Speaker 4>with your finger or like moving the mouse or talking

564
00:36:23.719 --> 00:36:26.440
<v Speaker 4>to your phone, you'll be able to interact with computer

565
00:36:26.599 --> 00:36:29.920
<v Speaker 4>with the speed of thoughts. It will make this interaction

566
00:36:30.039 --> 00:36:33.639
<v Speaker 4>much more, much faster, and much more intuitive. The computers

567
00:36:33.639 --> 00:36:36.079
<v Speaker 4>will understand what you want to do. And we can

568
00:36:36.119 --> 00:36:39.159
<v Speaker 4>also expand that to AI. We can now build an

569
00:36:39.199 --> 00:36:44.039
<v Speaker 4>interface with AI that you will be able to achieve information,

570
00:36:44.239 --> 00:36:48.719
<v Speaker 4>will be able to start our thoughts anywhere, anytime, privately

571
00:36:48.840 --> 00:36:53.440
<v Speaker 4>and silently. Again, because we build a fundamental technology a

572
00:36:53.480 --> 00:36:56.639
<v Speaker 4>platform and we do everything in house, we own the

573
00:36:56.679 --> 00:37:01.360
<v Speaker 4>intense stack from neons to pixels on the users. Now

574
00:37:01.400 --> 00:37:04.840
<v Speaker 4>I'll pass passy to rouse to talk about UI for be.

575
00:37:04.800 --> 00:37:15.880
<v Speaker 17>Said, Thank you nil each spike that our implant detects

576
00:37:15.960 --> 00:37:19.159
<v Speaker 17>goes on a fairly remarkable journey to ultimately form a

577
00:37:19.199 --> 00:37:23.639
<v Speaker 17>pixel on a participant's display, and that experience starts with,

578
00:37:24.000 --> 00:37:28.639
<v Speaker 17>of course, unboxing, the very first time that a participant

579
00:37:28.920 --> 00:37:32.840
<v Speaker 17>pairs to and meets their implant, this invisible part of

580
00:37:32.880 --> 00:37:38.880
<v Speaker 17>their body and sees their own spikes materialize across the display.

581
00:37:39.840 --> 00:37:43.239
<v Speaker 17>From there, they'll go into body mapping and actually imagine

582
00:37:43.239 --> 00:37:46.079
<v Speaker 17>moving their arm again and get a feel for what

583
00:37:46.119 --> 00:37:49.800
<v Speaker 17>feels natural to them and what doesn't, and they'll take

584
00:37:49.880 --> 00:37:55.760
<v Speaker 17>that into calibration, using one of those motions to actually

585
00:37:56.000 --> 00:38:01.280
<v Speaker 17>move a cursor again, iteratively refine their control as they

586
00:38:01.280 --> 00:38:07.199
<v Speaker 17>go throughout this process, until finally they're teleported back to

587
00:38:07.280 --> 00:38:12.000
<v Speaker 17>their desktop and can experience the magic of neural control

588
00:38:12.159 --> 00:38:16.559
<v Speaker 17>for the very first time. And our control interfaces is

589
00:38:16.599 --> 00:38:21.320
<v Speaker 17>where the OS integration that we do really shines, letting

590
00:38:21.400 --> 00:38:26.800
<v Speaker 17>us adapt both control and feedback for every interaction. So

591
00:38:27.039 --> 00:38:30.960
<v Speaker 17>for familiar interactions like scrolling, we can surface an indicator

592
00:38:31.039 --> 00:38:34.679
<v Speaker 17>over the scrollable parts of the display at a touch

593
00:38:34.679 --> 00:38:37.960
<v Speaker 17>of gravity to automatically pop a participant's cursor onto that

594
00:38:38.039 --> 00:38:39.199
<v Speaker 17>indicator as they approach.

595
00:38:41.280 --> 00:38:43.400
<v Speaker 9>Show the actual velocities.

596
00:38:42.840 --> 00:38:45.039
<v Speaker 17>That we decode inside of it and add a bit

597
00:38:45.079 --> 00:38:48.000
<v Speaker 17>of momentum to those velocities to carry them forward as

598
00:38:48.000 --> 00:38:52.960
<v Speaker 17>they glide across the page. They are also unique interactions

599
00:38:52.960 --> 00:38:55.760
<v Speaker 17>that we need to solve for in this space. For example,

600
00:38:55.760 --> 00:38:58.400
<v Speaker 17>when a participant is watching a movie or just talking

601
00:38:58.440 --> 00:39:02.199
<v Speaker 17>to somebody next to them, the brain is very active

602
00:39:02.280 --> 00:39:05.719
<v Speaker 17>still and that activity can actually induce motion in the cursor,

603
00:39:05.960 --> 00:39:09.360
<v Speaker 17>distracting them from that moment. So when a participant wants

604
00:39:09.400 --> 00:39:11.360
<v Speaker 17>to just get their cursor out of the way, they

605
00:39:11.360 --> 00:39:13.719
<v Speaker 17>can push it into the edge of the display to

606
00:39:13.760 --> 00:39:16.679
<v Speaker 17>park it there, and of course we add gravity to

607
00:39:16.760 --> 00:39:19.639
<v Speaker 17>sort of hold it still, but they can push it

608
00:39:19.719 --> 00:39:22.920
<v Speaker 17>out with either just a firm push or in this case,

609
00:39:22.960 --> 00:39:27.119
<v Speaker 17>a gesture, and of course it's what it goes. Without

610
00:39:27.119 --> 00:39:30.000
<v Speaker 17>saying that, all of these control interfaces are designed hand

611
00:39:30.000 --> 00:39:32.559
<v Speaker 17>in hand with our participants, so huge shout out to

612
00:39:32.599 --> 00:39:35.880
<v Speaker 17>both Nolan and Brad for helping us design these two

613
00:39:36.079 --> 00:39:39.719
<v Speaker 17>and those control interfaces, of course extend typing. We have

614
00:39:39.760 --> 00:39:42.679
<v Speaker 17>a great software keyboard that does everything you'd expect it to,

615
00:39:43.079 --> 00:39:45.440
<v Speaker 17>popping up when a participant clicks on a text field,

616
00:39:45.679 --> 00:39:48.039
<v Speaker 17>giving them feedback about the click along the surface of

617
00:39:48.079 --> 00:39:57.119
<v Speaker 17>the key and supporting both dictation and swipe.

618
00:39:58.280 --> 00:40:01.800
<v Speaker 18>Hi everyone, I'm Harrison and engineer here at Neuralink, and

619
00:40:01.880 --> 00:40:04.320
<v Speaker 18>I must say being an mL engineer at Neuralink is

620
00:40:04.320 --> 00:40:06.079
<v Speaker 18>a bit like being a kid in a candy store.

621
00:40:08.480 --> 00:40:11.000
<v Speaker 18>When you think of the inputs to most mL systems

622
00:40:11.000 --> 00:40:13.800
<v Speaker 18>out there, you might think of pixels of tokens or

623
00:40:13.840 --> 00:40:17.480
<v Speaker 18>of a user's Netflix watch history. The input to our

624
00:40:17.519 --> 00:40:21.800
<v Speaker 18>systems is a little different. It is pure raw brain power.

625
00:40:22.199 --> 00:40:24.119
<v Speaker 18>And when we think about the mL systems we can

626
00:40:24.119 --> 00:40:27.000
<v Speaker 18>build here at Neuralink, really we're limited by our imagination

627
00:40:27.119 --> 00:40:30.480
<v Speaker 18>and our creativity. There's no reason our mL systems can't

628
00:40:30.559 --> 00:40:33.760
<v Speaker 18>do anything that the human brain can do, such as

629
00:40:33.920 --> 00:40:37.199
<v Speaker 18>controlling a phone, typing, or even gaming.

630
00:40:38.559 --> 00:40:39.280
<v Speaker 6>Right here to my.

631
00:40:39.280 --> 00:40:42.159
<v Speaker 18>Left is actual footage of Alex, one of our participants,

632
00:40:42.199 --> 00:40:45.840
<v Speaker 18>playing at first person shooter against RJ, another one of

633
00:40:45.880 --> 00:40:49.639
<v Speaker 18>our participants. Now, for those unfamiliar with first person shooters,

634
00:40:49.880 --> 00:40:52.840
<v Speaker 18>this is not a trivial feat. It requires two fully

635
00:40:52.840 --> 00:40:57.360
<v Speaker 18>independent joysticks or four continuous degrees of control, as well

636
00:40:57.360 --> 00:41:02.599
<v Speaker 18>as multiple reliable buttons. Now, contrary to popular belief, the

637
00:41:02.639 --> 00:41:07.159
<v Speaker 18>Neuralink does not simply read people's minds it's simply reading

638
00:41:07.239 --> 00:41:09.880
<v Speaker 18>neuronal activations corresponding to motor intent.

639
00:41:10.400 --> 00:41:11.400
<v Speaker 9>So one of the fun.

640
00:41:11.320 --> 00:41:14.320
<v Speaker 18>Challenges with this project was figuring out which motions we're

641
00:41:14.360 --> 00:41:17.000
<v Speaker 18>going to give out to the joystick. We started with

642
00:41:17.039 --> 00:41:19.840
<v Speaker 18>the typical left thumb and right thumb, but quickly found

643
00:41:19.920 --> 00:41:23.760
<v Speaker 18>the dominant hand overshadow the non dominant hand. My personal

644
00:41:23.760 --> 00:41:26.199
<v Speaker 18>favorite is we had one of our participants imagine walking

645
00:41:26.320 --> 00:41:28.880
<v Speaker 18>for the left joystick and aiming for the right joystick,

646
00:41:29.159 --> 00:41:33.000
<v Speaker 18>so in game, they were simply doing naturalistic motions like

647
00:41:33.039 --> 00:41:35.239
<v Speaker 18>you might do in virtual reality in Ready Player one,

648
00:41:35.599 --> 00:41:37.079
<v Speaker 18>and that was really cool to watch.

649
00:41:37.719 --> 00:41:39.920
<v Speaker 9>What we ended up on was the thumb for.

650
00:41:39.880 --> 00:41:42.880
<v Speaker 18>The left joystick and the wrist for the right joystick,

651
00:41:43.239 --> 00:41:46.079
<v Speaker 18>and I challenged the audience to try to replicate their motions.

652
00:41:46.320 --> 00:41:47.920
<v Speaker 18>I'm really in all of them being able to pull

653
00:41:47.960 --> 00:41:50.159
<v Speaker 18>this off. I want to talk a bit about the

654
00:41:50.199 --> 00:41:52.360
<v Speaker 18>progress to our cursor calibration experience.

655
00:41:53.079 --> 00:41:53.639
<v Speaker 2>To my left.

656
00:41:53.679 --> 00:41:56.559
<v Speaker 18>Here you can see RJ completing his first ever cursor

657
00:41:56.599 --> 00:41:59.440
<v Speaker 18>calibration with a redesigned open up flow where he first

658
00:41:59.519 --> 00:42:01.519
<v Speaker 18>gathering for about his intent and how to map the

659
00:42:01.559 --> 00:42:04.199
<v Speaker 18>neural activity to the first time he controls a cursor

660
00:42:04.480 --> 00:42:06.719
<v Speaker 18>to the final product where he has smooth and fluid

661
00:42:06.920 --> 00:42:11.840
<v Speaker 18>control of his computer. And most remarkably, this experience took

662
00:42:11.880 --> 00:42:15.679
<v Speaker 18>only fifteen minutes from a start to finish, fifteen minutes

663
00:42:15.679 --> 00:42:24.599
<v Speaker 18>from not fifteen minutes from no control to fluid computer use.

664
00:42:26.320 --> 00:42:28.000
<v Speaker 18>Contrast that to a year and a half ago with

665
00:42:28.039 --> 00:42:30.679
<v Speaker 18>P one, where that was multiple hours to get to

666
00:42:30.679 --> 00:42:33.480
<v Speaker 18>the same level of control and several engineers standing around

667
00:42:33.519 --> 00:42:36.199
<v Speaker 18>a table pulling their hair out. There was virtually no

668
00:42:36.320 --> 00:42:38.559
<v Speaker 18>need for neuralink engineers to even be at this session.

669
00:42:38.920 --> 00:42:41.039
<v Speaker 18>This was basically it out of the box experience for

670
00:42:41.079 --> 00:42:48.199
<v Speaker 18>our participant, and even more remarkably, we're continuing to smash

671
00:42:48.280 --> 00:42:53.119
<v Speaker 18>day one records, with RJ being able to achieve seven BPS.

672
00:42:52.719 --> 00:42:54.440
<v Speaker 9>On his very first day with a neuralink.

673
00:42:58.760 --> 00:43:01.760
<v Speaker 18>Now, such an effective and fishing calibration process is only

674
00:43:01.760 --> 00:43:05.320
<v Speaker 18>made possible by high fidelity estimations of a user intention

675
00:43:05.920 --> 00:43:10.119
<v Speaker 18>or labels. And to briefly illustrate just how challenging a

676
00:43:10.159 --> 00:43:13.000
<v Speaker 18>problem that is, this is an animation of myself trying

677
00:43:13.000 --> 00:43:16.440
<v Speaker 18>to draw circles on my desktop with a mouse. Now,

678
00:43:16.519 --> 00:43:20.159
<v Speaker 18>the task was simple, draw uniform circles at a constant speed,

679
00:43:20.320 --> 00:43:23.519
<v Speaker 18>repeatedly and as you can see by that animation, I

680
00:43:23.559 --> 00:43:24.480
<v Speaker 18>am horrible at that.

681
00:43:25.000 --> 00:43:25.599
<v Speaker 2>Even though my.

682
00:43:25.559 --> 00:43:29.599
<v Speaker 18>Intent was pretty obvious unambiguous, the execution was really poor.

683
00:43:29.920 --> 00:43:33.039
<v Speaker 18>There is a ton of variation in both speed and

684
00:43:33.920 --> 00:43:37.679
<v Speaker 18>the shape itself. To visualize this a little differently, each

685
00:43:37.800 --> 00:43:40.239
<v Speaker 18>row here is one of those circles unwound in time

686
00:43:40.480 --> 00:43:42.920
<v Speaker 18>with synchronized starts, and you can just see how much

687
00:43:43.000 --> 00:43:45.079
<v Speaker 18>variation there is in the timing of each circle as

688
00:43:45.079 --> 00:43:47.119
<v Speaker 18>well as what I'm doing at any given point in time.

689
00:43:49.760 --> 00:43:53.199
<v Speaker 18>Orthogonal to the labeling problem is neural nonstationarity, or the

690
00:43:53.239 --> 00:43:56.960
<v Speaker 18>tendency of neural signals to drift over time. And I

691
00:43:56.960 --> 00:43:59.960
<v Speaker 18>think that's honestly a beautiful thing, right If your neurals

692
00:44:00.000 --> 00:44:02.719
<v Speaker 18>signals didn't drift, you couldn't grow. When you wake up

693
00:44:02.760 --> 00:44:04.800
<v Speaker 18>the next day, you're not the same person you were

694
00:44:04.800 --> 00:44:07.920
<v Speaker 18>the day before. You've learned, you've grown, You've changed, and

695
00:44:08.000 --> 00:44:11.519
<v Speaker 18>so too must your neural data change. This animation here

696
00:44:11.599 --> 00:44:14.119
<v Speaker 18>is a simple illustration of the learned representation by the

697
00:44:14.159 --> 00:44:16.679
<v Speaker 18>decoder and how it drifts the further away we get

698
00:44:16.719 --> 00:44:18.920
<v Speaker 18>from the day it was trained on. This is one

699
00:44:18.920 --> 00:44:20.480
<v Speaker 18>of the key challenges we need to solve here At

700
00:44:20.519 --> 00:44:23.079
<v Speaker 18>neuralink to unlock fluid and a product level experience for

701
00:44:23.119 --> 00:44:24.119
<v Speaker 18>our users.

702
00:44:32.760 --> 00:44:41.599
<v Speaker 15>Everyone here, everyone, My name is Joey. Blind Sight is

703
00:44:41.639 --> 00:44:44.280
<v Speaker 15>our project to build a visual prosthesis to help the

704
00:44:44.320 --> 00:44:48.920
<v Speaker 15>blind see again. Users would wear a pair of glasses

705
00:44:50.559 --> 00:44:54.239
<v Speaker 15>with an embedded camera and receive an implant in their

706
00:44:54.320 --> 00:44:58.679
<v Speaker 15>visual cortex. Scenes from the environment are recorded by the

707
00:44:58.719 --> 00:45:03.639
<v Speaker 15>camera and processed in the patterns of stimulation delivered to

708
00:45:03.760 --> 00:45:10.679
<v Speaker 15>the brain, causing visual perception and restoring functionality. Now blind

709
00:45:10.679 --> 00:45:13.599
<v Speaker 15>Site will be enabled by placing our implant into visual cortex.

710
00:45:13.880 --> 00:45:15.960
<v Speaker 15>This is a new brain area for us, and this

711
00:45:16.000 --> 00:45:21.119
<v Speaker 15>brings new opportunities and challenges. So the surface of the

712
00:45:21.159 --> 00:45:24.280
<v Speaker 15>brain for visual cortex represents just a few degrees of

713
00:45:24.360 --> 00:45:28.559
<v Speaker 15>angle in the center of the visual field. Larger fields

714
00:45:28.559 --> 00:45:31.559
<v Speaker 15>of view are represented deep within the cortical folds of

715
00:45:31.599 --> 00:45:36.239
<v Speaker 15>the calcarine fissure. Our threads are able to access these

716
00:45:36.320 --> 00:45:41.119
<v Speaker 15>deeper structures, providing the possibility of restoring vision over a functional,

717
00:45:41.199 --> 00:45:44.679
<v Speaker 15>useful visual field. So the N one implant has had

718
00:45:44.880 --> 00:45:49.440
<v Speaker 15>experimental stimulation capabilities for quite some time, but our new

719
00:45:49.760 --> 00:45:52.880
<v Speaker 15>S two chip is designed from the ground up for stimulation.

720
00:45:53.880 --> 00:45:58.440
<v Speaker 15>It provides over sixteen hundred channels of electrical stimulation, high

721
00:45:58.599 --> 00:46:02.920
<v Speaker 15>dynamic range recording abilities, and a wide range of microstimulation

722
00:46:03.039 --> 00:46:08.079
<v Speaker 15>currents and voltages. We can achieve these capabilities because we're

723
00:46:08.159 --> 00:46:13.360
<v Speaker 15>vertically integrated and we design this CUSTOMASIC in house. Similarly,

724
00:46:13.599 --> 00:46:16.639
<v Speaker 15>we design and fabricate our electrode threads in house, and

725
00:46:16.719 --> 00:46:20.519
<v Speaker 15>here you can see one of our standard threads designed

726
00:46:20.519 --> 00:46:24.840
<v Speaker 15>for recording in an electron micrograph. For blind site, our

727
00:46:24.840 --> 00:46:28.239
<v Speaker 15>requirements are a little different and our vertical integration allows

728
00:46:28.280 --> 00:46:31.440
<v Speaker 15>us to rapidly iterate on the design and manufacturing of

729
00:46:31.440 --> 00:46:35.559
<v Speaker 15>these threads for this new purpose. So here I'm using

730
00:46:35.599 --> 00:46:40.159
<v Speaker 15>red arrows to highlight the electrode contacts which are optimized

731
00:46:40.159 --> 00:46:42.559
<v Speaker 15>for stimulation, and as you can see, they're a little

732
00:46:42.599 --> 00:46:45.519
<v Speaker 15>bit larger, which results in a lower electrical impedance for

733
00:46:45.639 --> 00:46:52.159
<v Speaker 15>safe and effective charge delivery, which is important for blind site. Now,

734
00:46:52.159 --> 00:46:55.159
<v Speaker 15>how can we calibrate our implant for blind site? So

735
00:46:55.239 --> 00:46:59.360
<v Speaker 15>here's one way. We stimulate on the array, picking say

736
00:46:59.480 --> 00:47:04.039
<v Speaker 15>three different channels. The user perceives something say three spots

737
00:47:04.039 --> 00:47:07.079
<v Speaker 15>of light somewhere in their visual field and points at them.

738
00:47:07.920 --> 00:47:10.599
<v Speaker 15>We track their arm and eye movements and repeat this

739
00:47:10.679 --> 00:47:15.280
<v Speaker 15>process for each of the channels on the array, and

740
00:47:15.360 --> 00:47:18.679
<v Speaker 15>here's what a simulated example of a blind site vision

741
00:47:18.719 --> 00:47:32.880
<v Speaker 15>could look like after calibration. Now I showed you how

742
00:47:32.880 --> 00:47:35.239
<v Speaker 15>for blind site we need to insert threads deeper into

743
00:47:35.280 --> 00:47:38.639
<v Speaker 15>the brain than we have previously and doing this requires

744
00:47:38.800 --> 00:47:42.280
<v Speaker 15>state of the art medical imaging. So we worked with

745
00:47:42.280 --> 00:47:44.280
<v Speaker 15>Semens to get some of the best scanners on earth.

746
00:47:45.000 --> 00:47:48.280
<v Speaker 15>We built out our imaging core from scratch in the

747
00:47:48.320 --> 00:47:50.920
<v Speaker 15>past year. Actually it was faster than that. It was

748
00:47:50.960 --> 00:47:54.760
<v Speaker 15>about four months from dirt to done. Since bringing the

749
00:47:54.760 --> 00:47:58.079
<v Speaker 15>scanners online, we scanned over fifty internal participants, building out

750
00:47:58.079 --> 00:48:02.039
<v Speaker 15>a database of human structural and functional anatomy. What can

751
00:48:02.079 --> 00:48:05.360
<v Speaker 15>we do with the imaging information from these scanners? So

752
00:48:05.519 --> 00:48:08.599
<v Speaker 15>medical imaging can be used for surgical placement. It lets

753
00:48:08.679 --> 00:48:11.440
<v Speaker 15>us parcelate out brain regions by their function, and we

754
00:48:11.559 --> 00:48:15.079
<v Speaker 15>use our imaging capabilities to refine the placement for telepathy.

755
00:48:15.559 --> 00:48:17.920
<v Speaker 15>It also gives us the capability of target new brain

756
00:48:18.039 --> 00:48:20.719
<v Speaker 15>regions for future products such as blind site or speech

757
00:48:20.760 --> 00:48:24.719
<v Speaker 15>pres thesis, and we're working towards more capabilities. So one

758
00:48:24.760 --> 00:48:28.159
<v Speaker 15>click automated planning of surgery from functional images to robot

759
00:48:28.239 --> 00:48:31.400
<v Speaker 15>insertion targets. Here you can see a screen capture from

760
00:48:31.440 --> 00:48:33.159
<v Speaker 15>one of our in house tooling to do end to

761
00:48:33.239 --> 00:48:35.960
<v Speaker 15>end surgical planning. You can see a region of motor

762
00:48:35.960 --> 00:48:39.960
<v Speaker 15>cortex known as hand knob and the thread trajectory plans

763
00:48:39.960 --> 00:48:43.960
<v Speaker 15>that'll be sent directly to the robot. This is a

764
00:48:44.000 --> 00:48:47.280
<v Speaker 15>really incredible degree of automation that's only possible because we're

765
00:48:47.280 --> 00:48:49.599
<v Speaker 15>controlling the system from one end to the other.

766
00:48:54.159 --> 00:48:57.039
<v Speaker 10>My name is John and I lead the robot mechanical team.

767
00:48:57.159 --> 00:49:00.000
<v Speaker 10>This is our current R one robot. It was used

768
00:49:00.079 --> 00:49:04.039
<v Speaker 10>to implant the first seven participants. This robot works really well,

769
00:49:04.079 --> 00:49:06.119
<v Speaker 10>but it has a few flaws, one of which is

770
00:49:06.159 --> 00:49:09.360
<v Speaker 10>the cycle time is rather slow, so to insert each

771
00:49:09.360 --> 00:49:12.679
<v Speaker 10>thread it takes in the best case scenario seventeen seconds,

772
00:49:13.119 --> 00:49:16.519
<v Speaker 10>and many cases external disturbances cause us to have to

773
00:49:16.559 --> 00:49:20.280
<v Speaker 10>retry to grasp that thread and then reinsert it. To

774
00:49:20.360 --> 00:49:24.400
<v Speaker 10>scale our number of neurons access through higher channel acount

775
00:49:24.559 --> 00:49:26.800
<v Speaker 10>increase numbers of threads, we need to have a much

776
00:49:26.840 --> 00:49:30.960
<v Speaker 10>faster cycle time. So let me introduce our next generation robot,

777
00:49:31.800 --> 00:49:43.480
<v Speaker 10>which is right here. Through rethinking the way that we

778
00:49:43.519 --> 00:49:45.480
<v Speaker 10>hold the implant in front of the robot, by holding

779
00:49:45.519 --> 00:49:48.039
<v Speaker 10>it directly in front on the robot, head. We will

780
00:49:48.039 --> 00:49:51.840
<v Speaker 10>achieve an eleven times cycle time improvement, so each thread

781
00:49:51.880 --> 00:49:52.400
<v Speaker 10>takes one and.

782
00:49:52.360 --> 00:49:53.239
<v Speaker 2>A half seconds.

783
00:49:53.719 --> 00:49:58.039
<v Speaker 10>We also scale up a lot of surgery workflow process

784
00:49:58.079 --> 00:50:01.519
<v Speaker 10>improvements through deleting the separate an operator station and implant

785
00:50:01.559 --> 00:50:05.320
<v Speaker 10>stand Now the outside of the robot looks pretty similar

786
00:50:05.360 --> 00:50:08.480
<v Speaker 10>between the two, but what's inside that really counts. Each

787
00:50:08.519 --> 00:50:11.239
<v Speaker 10>system has been redesigned from the ground up with a

788
00:50:11.280 --> 00:50:16.000
<v Speaker 10>focus on re liability, manufacturability, serviceability, and using a lot

789
00:50:16.000 --> 00:50:18.960
<v Speaker 10>of our vertical integration techniques. It's enabled us to have

790
00:50:19.000 --> 00:50:21.840
<v Speaker 10>a lot more control of the system and to end

791
00:50:22.800 --> 00:50:25.199
<v Speaker 10>now that fast cycle time doesn't mean much if it's

792
00:50:25.199 --> 00:50:27.880
<v Speaker 10>not compatible with a significant portion of the human population.

793
00:50:28.679 --> 00:50:32.519
<v Speaker 10>Prior to each surgery, we scan our participants anatomy and

794
00:50:32.639 --> 00:50:35.159
<v Speaker 10>ensure that they will be compatible with the robot and

795
00:50:35.239 --> 00:50:38.960
<v Speaker 10>vice versa. Unfortunately, the robot isn't compatible with everyone, so

796
00:50:39.000 --> 00:50:41.280
<v Speaker 10>we had to extend the reach of the needle in

797
00:50:41.320 --> 00:50:43.679
<v Speaker 10>the next generation robot, and now we're compatible with more

798
00:50:43.719 --> 00:50:46.519
<v Speaker 10>than ninety nine percent of the human population. We've also

799
00:50:46.599 --> 00:50:49.400
<v Speaker 10>increased the depth that the needle can insert threads. Now

800
00:50:49.400 --> 00:50:51.440
<v Speaker 10>we can reach more than fifty millimeters from the surface

801
00:50:51.440 --> 00:50:55.360
<v Speaker 10>of the brain, accessing and enabling new indications. We have

802
00:50:55.440 --> 00:50:59.039
<v Speaker 10>to produce a ton of custom sterile components for each surgery.

803
00:50:59.079 --> 00:51:01.440
<v Speaker 6>We actually supple more than twenty of these parts.

804
00:51:01.960 --> 00:51:04.159
<v Speaker 10>Many of these parts are made through traditional C and

805
00:51:04.199 --> 00:51:06.840
<v Speaker 10>C manufacturing capabilities, which we do just on the other

806
00:51:06.880 --> 00:51:10.039
<v Speaker 10>side of this wall actually, and some custom developed processes

807
00:51:10.119 --> 00:51:13.000
<v Speaker 10>like this pemptosecond laser milling used to manufacture the tip

808
00:51:13.039 --> 00:51:16.800
<v Speaker 10>of the needle. Now, these processes take quite a bit

809
00:51:16.840 --> 00:51:19.159
<v Speaker 10>of time, effort, and cost, So let's take a look

810
00:51:19.199 --> 00:51:22.440
<v Speaker 10>at how we're going to reduce costs and time for

811
00:51:22.559 --> 00:51:25.920
<v Speaker 10>one of the components. So the current needle cartridge has

812
00:51:25.960 --> 00:51:28.440
<v Speaker 10>a total cycle time of about twenty four hours and

813
00:51:28.639 --> 00:51:31.199
<v Speaker 10>the machine components cost about three hundred and fifty dollars.

814
00:51:31.800 --> 00:51:33.639
<v Speaker 10>The final assembly is performed by a set of like

815
00:51:33.719 --> 00:51:36.360
<v Speaker 10>highly skilled technicians. They have to glue a one hundred

816
00:51:36.400 --> 00:51:40.880
<v Speaker 10>and fifty micron diameter canua onto this wireedm machined, seainless

817
00:51:40.880 --> 00:51:43.360
<v Speaker 10>steeled base plate. They have to electro polish a forty

818
00:51:43.400 --> 00:51:45.840
<v Speaker 10>micron wire into a sharp taper, and then they have

819
00:51:45.880 --> 00:51:49.119
<v Speaker 10>to thread that forty micron wire into a sixty micron

820
00:51:49.159 --> 00:51:52.559
<v Speaker 10>hole in the canua. This is done manually and then

821
00:51:52.599 --> 00:51:54.920
<v Speaker 10>they finally have to laser weld all the components together.

822
00:51:57.320 --> 00:52:00.559
<v Speaker 10>Next generation needle cartridge takes only thirty minute of cycle

823
00:52:00.599 --> 00:52:03.199
<v Speaker 10>time and fifteen dollars in component. We were able to

824
00:52:03.239 --> 00:52:06.599
<v Speaker 10>delete the wire idium machined base plate and the canuo

825
00:52:06.639 --> 00:52:09.280
<v Speaker 10>Gulian step by switching to an insert mold it component.

826
00:52:09.360 --> 00:52:11.239
<v Speaker 10>So we get a box of these base plates with

827
00:52:11.320 --> 00:52:13.920
<v Speaker 10>the canules already installed, for like a thousand of them

828
00:52:13.960 --> 00:52:17.000
<v Speaker 10>for like a couple five ten dollars apiece. We also

829
00:52:17.119 --> 00:52:20.159
<v Speaker 10>deleted the electropolishing step with the revised needle tip geometry,

830
00:52:20.519 --> 00:52:23.719
<v Speaker 10>which is also compatible with inserting the threads through the dura.

831
00:52:24.679 --> 00:52:27.960
<v Speaker 10>We have a few revised manufacturing techniques to delete the

832
00:52:28.000 --> 00:52:31.079
<v Speaker 10>manual threading through basically a funnel. Rather simple, but it

833
00:52:31.079 --> 00:52:33.320
<v Speaker 10>has been a big impact. And then we're able to

834
00:52:33.320 --> 00:52:35.119
<v Speaker 10>delete the laser welding through using crimping.

835
00:52:41.360 --> 00:52:47.599
<v Speaker 2>By Hi.

836
00:52:47.679 --> 00:52:50.199
<v Speaker 19>I'm Julian. I'm one of the leads on the implant team.

837
00:52:51.039 --> 00:52:54.280
<v Speaker 19>So the way humans communicate today, if they want to

838
00:52:54.400 --> 00:52:57.440
<v Speaker 19>output information is by using their hands and their voice

839
00:52:57.480 --> 00:52:59.880
<v Speaker 19>as I'm doing right now, And if you want to

840
00:53:00.000 --> 00:53:02.800
<v Speaker 19>receive information, you use your ears and your eyes, and

841
00:53:02.840 --> 00:53:06.599
<v Speaker 19>of course that's how you're receiving this very torque but

842
00:53:07.079 --> 00:53:11.039
<v Speaker 19>we've built this implant, and this implant is very special

843
00:53:11.280 --> 00:53:14.159
<v Speaker 19>because it is the first time that we're able to

844
00:53:14.199 --> 00:53:17.920
<v Speaker 19>add a completely new mode of data transfer into and

845
00:53:17.960 --> 00:53:20.880
<v Speaker 19>out of the brain. If you look at this device

846
00:53:21.000 --> 00:53:24.039
<v Speaker 19>in a nutshell, it's really just sampling voltages in the

847
00:53:24.079 --> 00:53:27.760
<v Speaker 19>brain and sending them over radio. But if you zoom

848
00:53:27.760 --> 00:53:29.840
<v Speaker 19>out and look at the system from end to end,

849
00:53:30.280 --> 00:53:34.079
<v Speaker 19>what you actually see is that we're connecting your brain

850
00:53:34.320 --> 00:53:37.920
<v Speaker 19>or a biological neural net to a machine learning model

851
00:53:38.199 --> 00:53:41.000
<v Speaker 19>or a silicon neural net on the right hand side.

852
00:53:41.440 --> 00:53:45.719
<v Speaker 19>And I actually think this is really elegant because the

853
00:53:45.800 --> 00:53:48.119
<v Speaker 19>machine learning model on the right hand side is in

854
00:53:48.159 --> 00:53:51.760
<v Speaker 19>fact inspired by neurons on the left hand side, and

855
00:53:51.800 --> 00:53:55.519
<v Speaker 19>so in some sense, we're really extending the fundamental substrate

856
00:53:55.679 --> 00:53:57.960
<v Speaker 19>of the brain for the first time. We're able to

857
00:53:58.000 --> 00:54:00.360
<v Speaker 19>do this in a mass market product. That's a very

858
00:54:00.440 --> 00:54:11.079
<v Speaker 19>very special piece of hardware. So these are some of

859
00:54:11.159 --> 00:54:15.679
<v Speaker 19>the first implants that we ever built. There are electrodes

860
00:54:15.800 --> 00:54:19.159
<v Speaker 19>that were made with our in house lithography tools. We

861
00:54:19.280 --> 00:54:21.519
<v Speaker 19>have custom A six that we also designed in house,

862
00:54:21.960 --> 00:54:24.519
<v Speaker 19>and this was really a platform for us to develop

863
00:54:24.559 --> 00:54:27.960
<v Speaker 19>the technology that allows us to sense micro level vaults

864
00:54:28.000 --> 00:54:32.079
<v Speaker 19>in the brain across thousands of channels simultaneously. We learn

865
00:54:32.159 --> 00:54:34.360
<v Speaker 19>a lot from this. But as you'll notice in the

866
00:54:34.440 --> 00:54:38.639
<v Speaker 19>right to images, there are USBC connectors on these devices.

867
00:54:38.960 --> 00:54:43.880
<v Speaker 19>These were not really the most implantable implants. This next

868
00:54:43.920 --> 00:54:47.480
<v Speaker 19>set of images are the wireless implants, and there was

869
00:54:47.519 --> 00:54:50.719
<v Speaker 19>a complete evolution that we went through to add the battery,

870
00:54:50.960 --> 00:54:55.079
<v Speaker 19>the antenna, the radio, and to make it actually fully implantable.

871
00:54:55.280 --> 00:54:59.880
<v Speaker 19>Once it's implanted, it's completely invisible. It's very compact, it's modular,

872
00:55:00.079 --> 00:55:01.840
<v Speaker 19>and it's a general platform that you can use in

873
00:55:01.840 --> 00:55:06.519
<v Speaker 19>many places in the brain. Going from that top row

874
00:55:06.840 --> 00:55:10.159
<v Speaker 19>to the bottom row is very challenging. The implant you

875
00:55:10.199 --> 00:55:12.079
<v Speaker 19>see on the bottom right here is in fact the

876
00:55:12.119 --> 00:55:15.599
<v Speaker 19>device that we have working in seven participants today and

877
00:55:15.639 --> 00:55:19.559
<v Speaker 19>it's augmenting their brain every day and restoring their autonomy.

878
00:55:19.840 --> 00:55:23.199
<v Speaker 19>But getting to that point involved a huge number of

879
00:55:23.199 --> 00:55:26.880
<v Speaker 19>formidable engineering challenges. We first had to make hometic enclosure,

880
00:55:27.159 --> 00:55:30.760
<v Speaker 19>passing one thousand separate conductors through the enclosure of the device.

881
00:55:31.239 --> 00:55:33.639
<v Speaker 19>We had to figure out how to make charging seamless

882
00:55:33.639 --> 00:55:35.960
<v Speaker 19>and work with very tight thermal constraints in a very

883
00:55:36.039 --> 00:55:38.679
<v Speaker 19>very small area, and then we also had to scale

884
00:55:38.760 --> 00:55:41.559
<v Speaker 19>up our testing infrastructure so that we could support large

885
00:55:41.559 --> 00:55:44.960
<v Speaker 19>scale manufacturing and very safe devices and have confidence in

886
00:55:45.000 --> 00:55:46.000
<v Speaker 19>our iteration cycle.

887
00:55:47.199 --> 00:55:48.000
<v Speaker 9>So what's next.

888
00:55:48.760 --> 00:55:51.960
<v Speaker 19>We're going to be increasing our manufacturing so that we

889
00:55:52.000 --> 00:55:55.039
<v Speaker 19>don't just produce a certain like a small number of

890
00:55:55.039 --> 00:55:57.440
<v Speaker 19>implants per year, but thousands and then eventually millions of

891
00:55:57.440 --> 00:56:00.280
<v Speaker 19>implants per year. We're also going to be increase seeing

892
00:56:00.440 --> 00:56:04.880
<v Speaker 19>channel count. More channels means more neurons are sensed, which

893
00:56:04.920 --> 00:56:08.400
<v Speaker 19>means more capabilities. In some sense, we often think a

894
00:56:08.440 --> 00:56:11.559
<v Speaker 19>lot about the Moore's law of neurons that were interacting

895
00:56:11.599 --> 00:56:14.760
<v Speaker 19>with and in the same way that Moore's law propelled

896
00:56:14.800 --> 00:56:18.920
<v Speaker 19>forward many subsequent revolutions in computing, we think that sensing

897
00:56:18.960 --> 00:56:22.159
<v Speaker 19>more and more neurons will also completely redefine how we

898
00:56:22.239 --> 00:56:24.800
<v Speaker 19>interact with computers and reality at large.

899
00:56:26.599 --> 00:56:28.199
<v Speaker 9>I want to leave you with one final thought.

900
00:56:29.239 --> 00:56:31.800
<v Speaker 19>When I was a child, I used a fifty six

901
00:56:31.880 --> 00:56:36.199
<v Speaker 19>kilo bit moodem to access the Internet. If you remember

902
00:56:36.239 --> 00:56:38.239
<v Speaker 19>what it's like, you would go to a website.

903
00:56:38.519 --> 00:56:43.199
<v Speaker 2>You're lucky, You're lucky, bastard. Yeah, when I was a child,

904
00:56:43.719 --> 00:56:45.000
<v Speaker 2>we had acoustic couplers.

905
00:56:45.119 --> 00:56:48.480
<v Speaker 1>Oh, yeah, okay, so just just beat at each other.

906
00:56:48.760 --> 00:56:49.519
<v Speaker 9>Yeah.

907
00:56:49.000 --> 00:56:53.000
<v Speaker 19>The first modem was the acoustic Coppler. Incredible device honestly.

908
00:56:54.519 --> 00:56:56.599
<v Speaker 19>But then if you I guess, if you're my age,

909
00:56:56.599 --> 00:57:04.760
<v Speaker 19>you started with fifty six kit modem and you would

910
00:57:04.800 --> 00:57:06.800
<v Speaker 19>go to a website and like there would be an

911
00:57:06.840 --> 00:57:10.400
<v Speaker 19>image and it would it would scroll like slowly, it

912
00:57:10.440 --> 00:57:12.400
<v Speaker 19>was loading pixel by pixel on the screen.

913
00:57:12.880 --> 00:57:15.199
<v Speaker 9>So that's what it's like to be bandwidth limited.

914
00:57:15.760 --> 00:57:19.119
<v Speaker 19>Now I imagine using the current Internet with that same modem.

915
00:57:19.440 --> 00:57:22.280
<v Speaker 19>It's like it's inconceivable, it would be impossible to do.

916
00:57:23.320 --> 00:57:26.559
<v Speaker 9>So what broadband Internet did to.

917
00:57:26.519 --> 00:57:29.400
<v Speaker 19>The fifty six kilo bit modem is what this hardware

918
00:57:29.519 --> 00:57:32.000
<v Speaker 19>is going to do to the brain. We're trying to

919
00:57:32.079 --> 00:57:35.320
<v Speaker 19>drastically expand the amount of bandwidth that you have access

920
00:57:35.360 --> 00:57:39.159
<v Speaker 19>to to have a much richer experience and superhuman capabilities.

921
00:57:46.719 --> 00:57:48.920
<v Speaker 5>So I guess, just to kind of close out and

922
00:57:49.119 --> 00:57:54.760
<v Speaker 5>to recap today, neuralink is working reliably and has already

923
00:57:54.840 --> 00:57:58.400
<v Speaker 5>changed the lives of seven participants and making a real impact.

924
00:58:00.519 --> 00:58:03.000
<v Speaker 5>And our next milestone is to go to market and

925
00:58:03.119 --> 00:58:07.320
<v Speaker 5>enable scaling of this technology to thousands of people, as

926
00:58:07.360 --> 00:58:11.119
<v Speaker 5>well as expand functionalities beyond just the movement to enable

927
00:58:11.519 --> 00:58:17.159
<v Speaker 5>robotic sophisticated robotic arm control, speech vision, give site back,

928
00:58:17.360 --> 00:58:18.320
<v Speaker 5>and even.

929
00:58:18.440 --> 00:58:19.599
<v Speaker 6>Getting to the speed of thought.

930
00:58:20.440 --> 00:58:22.559
<v Speaker 5>I hope you got a good sort of sample of

931
00:58:22.639 --> 00:58:26.960
<v Speaker 5>our technology stack and the challenges that we have. And

932
00:58:27.280 --> 00:58:30.280
<v Speaker 5>I like to handle over the mic to Elon for

933
00:58:30.320 --> 00:58:31.360
<v Speaker 5>any closing remarks.

934
00:58:33.280 --> 00:58:37.800
<v Speaker 1>Well, we're trying to give you a sense of the

935
00:58:38.119 --> 00:58:38.599
<v Speaker 1>depth of.

936
00:58:38.559 --> 00:58:39.840
<v Speaker 2>Talent at your link.

937
00:58:39.880 --> 00:58:42.679
<v Speaker 1>There's a lot of really smart people working on a

938
00:58:42.679 --> 00:58:46.679
<v Speaker 1>lot of important problems. This is one of the most

939
00:58:46.679 --> 00:58:50.480
<v Speaker 1>difficult things to to actually succeed in creating and have

940
00:58:50.599 --> 00:58:53.360
<v Speaker 1>at work and work at scale and be reliable and

941
00:58:53.400 --> 00:58:58.039
<v Speaker 1>available for millions of people at an affordable price. So

942
00:58:59.679 --> 00:59:03.719
<v Speaker 1>super heart problem and we'd like to have you come

943
00:59:03.880 --> 00:59:04.719
<v Speaker 1>join and help.

944
00:59:04.599 --> 00:59:06.400
<v Speaker 2>Us solve it. Thank you.
