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Hey everybody. 
Welcome back to the Elon Musk 

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Podcast. 
This is a show where we discuss 

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the critical crossroads, the 
Shape, SpaceX, Tesla X, The 

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Boring Company, and Neuralink. 
I'm your host, Will Walden. 

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Hello everybody. 
My name is Alex Toddling. 

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I'm the second participant in 
the Neuralink study, but I'm 

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here to count us down to the 
demo in 54321. 

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Hi everyone, welcome to the 
Neurolink presentation. 

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This is an update for the 
progress of the neural link 

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team. 
It's been an incredible amount 

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of progress. 
This is we're going to start off

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high level, generally describing
what neural links doing. 

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And then we're going to get have
a very deep technical dive so 

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you can actually get an 
understanding of what exactly 

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we're doing at a granular level 
and what we can do to enhance 

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human capabilities and 
ultimately build a great future 

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for humanity. 
So that's a that's a neural 

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inspiring. 
It's funny thing that me talking

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right now is a bunch of neurons 
firing that then result in 

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speech that you hear that cause 
neurons to fire in your brain. 

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Yeah, part of part of this 
presentation is about 

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demystifying the the brain. 
It is a remarkable organ. 

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I mean, we are the brain 
basically when you say you, that

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really is you're the brain. 
Like you can, you can get a, a 

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heart transplant, you can get a 
kidney transplant, but I don't 

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know anyone who's gotten a brain
transplant. 

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So you are your brain and your 
experiences are these neurons 

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firing with the trillions of of 
synapses that somehow lead to 

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conscious comprehension of the 
world. 

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This is something that we have 
only begun to understand. 

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We're really just barely at the 
beginning of understanding of 

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what is the nature of 
consciousness. 

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And I've thought a lot about 
what, what is consciousness? 

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What is it? 
Where does consciousness arise? 

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Because if you start at the 
beginning of the universe, 

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assuming physics is true, the 
standard model of physics is 

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true, then you have this Big 
Bang. 

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You know the matter condensing 
into stars, those stars 

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exploding. 
A lot of the the atoms that are 

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in your body right now were ones
at the centre of stars. 

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Those stars exploded, 
recondensed. 

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Fast forward 13.8 billion years 
and here we are. 

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And somewhere along that very 
long journey, to us at least, 

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consciousness erodes or the the 
molecules started talking to 

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each other. 
And it begs the question of what

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is consciousness is, is 
everything conscious? 

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Maybe it's hard to say. 
We're along that line, that 

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there's no sort of discreet 
point where consciousness didn't

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exist and then suddenly does 
exist. 

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It seems to be maybe you have a 
condensation of matter that has 

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a, a density of like, we don't 
know what the real, the real 

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answer is. 
We don't know what consciousness

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is. 
But with the neural link and the

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progress that the company's 
making, we'll begin to 

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understand a lot more about 
consciousness and what does it 

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mean to, to be along the way, 
We're, we're going to solve a 

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lot of, a lot of brain issues 
where the brains get injured or 

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damaged in some way or didn't 
develop in quite the right way. 

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But there's, you know, there's, 
there's a lot of brain and spine

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injuries that go so along the 
way. 

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And I do want to emphasize that 
this is all going to happen 

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quite slowly, meaning you'll, 
you'll see it coming. 

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Sometimes people think that 
suddenly there will be vast 

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numbers of neural links all over
the place. 

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This, this is not going to be 
sudden. 

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You'll be able to watch it 
happen, you know, over the 

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course of several years and, and
we go through exhaustive 

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regulatory approvals. 
So this is not something that 

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we're just doing there by 
ourselves without government 

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oversight. 
We're we work closely with the 

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regulators every step of the 
way. 

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We're very cautious with, with 
neural links in humans. 

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That's the reason we're not 
moving faster than we are is 

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because we're, we're taking 
great care with, with each 

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individual to make sure we, we 
never miss. 

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And so far we haven't. 
And I hope that continues into 

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the future. 
Every single one of our implants

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in humans is working and working
quite well. 

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And you'll get to hear from some
of the people that have received

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the implants and cured in their 
words. 

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So what we're we're we're 
creating here with a neural link

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device is a generalized input 
output technology for the brain.

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So it's how do you get 
information into or out of the 

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brain and do so in a way that 
does not damage the brain or, 

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you know, cause any negative 
side effects. 

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So it's a very hard problem and 
generally the the reactions I've

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seen to this range from it's 
impossible to it's already been 

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done before those those people 
should meet. 

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Actually the reality is that 
there actually have been limited

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range of computer interfaces for
several decades. 

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On a very basic basis, just what
we're doing with neural link is 

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dramatically increasing the 
bandwidth by mayors magnitude. 

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So you can, you can a human 
bandwidth output is less than 

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one bit per second over the 
course of a day. 

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So there's 86,400 seconds in a 
day. 

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It's very rare for a person to 
do more than 86,400 bits of 

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output per day. 
You'd have to be really talking 

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a lot or typing all day and you 
might exceed that. 

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So what we're talking about here
is, is going from maybe one bit 

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per second to ultimately 
megabits and then gigabits per 

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second and the ability to do 
conceptual consensual telepathy.

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Now the the input to the brain 
is much higher because of, 

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especially because of vision. 
Depending upon how you count it,

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it, it might be on the order of 
a megabit or in the megabit 

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range for input primarily due to
sight. 

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So, but even for input, we, we 
think that can be dramatically 

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increased to, to the Gigabit 
plus level. 

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And, and, and a lot of the, the 
thinking that we do is which we 

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take a concept in our mind and 
we compress that into a small 

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number of symbols. 
So when you're trying to 

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communicate with somebody else, 
you're actually trying to model 

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their mind state and, and, and 
then take perhaps a quite a 

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complex idea that you have, 
maybe even a, a complex image 

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or, or scene or kind of mental 
video and try to compress that 

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into a few words or a few 
keystrokes. 

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And it's necessarily going to be
very lossy. 

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Your ability to communicate is 
very limited by how fast you can

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talk and how fast you can type. 
And what we're talking about is 

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unlocking that potential to 
enable you to communicate, like 

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I said, thousands, perhaps 
millions of times faster than is

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is currently possible. 
This is an incredibly profound 

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breakthrough. 
This would this would be a 

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fundamental change to what it 
means to be a human. 

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So we're, we're starting off 
with reducing human suffering. 

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So or, or addressing issues that
people have, say if they've been

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in an accident or they have some
neural disease that's 

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degenerative so they're losing 
capability to move their body or

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some some kind of injury 
essentially. 

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So enabling our first product is
called telepathy and that 

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enables someone who has lost the
ability to command their body to

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be able to communicate with the 
computer and move the mouse and 

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and actually operate a computer 
with roughly the same dexterity,

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ultimately much more dexterity 
than a than a human with working

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hands. 
Then the our next product is, is

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blind sight, which will enable 
those who have total loss of 

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vision, including if they've 
lost their eyes or the optic 

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nerve or maybe have never seen 
were blind, even blind from 

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birth to be able to see again, 
initially low resolution, but 

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ultimately very high resolution 
and, and then in multiple 

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wavelengths. 
So you could be like Geordie La 

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Forge in Star Trek and you can 
see in radar, you can see an 

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infrared, ultraviolet, 
superhuman capabilities, 

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Severnetic enhancement 
essentially. 

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And then along the way, this 
should help us understand a lot 

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more about consciousness. 
What does it mean to be a 

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conscious creature? 
We'll understand vastly more 

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about the nature of 
consciousness as a result of 

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this. 
And then ultimately, I think 

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this helps mitigate the 
civilizational risk of 

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artificial intelligence. 
We're, we are actually already, 

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we're already sort of have 3 
layers of thinking. 

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There's the limbic system, which
is your kind of your instincts, 

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the cortic, your cortical 
system, which is your higher 

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level planning and thinking. 
And then the tertiary layer, 

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which is the computers and 
machines that you interact with,

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you like your phone, your all 
the applications you use. 

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So people actually are already a
Cyborg. 

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You can maybe have an intuitive 
sense for this by how much you 

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miss your phone if you leave it 
behind. 

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Leaving your phone behind is 
like, it's almost like missing 

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limb syndrome, but your phone is
somewhat of an extension of 

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yourself, as is your computer. 
So you, you already have this 

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digital tertiary layer, but the 
bandwidth between your cortex 

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and your digital tertiary layer 
is limited by speech and by and 

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by how fast you can move your 
fingers and how fast you can 

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consume information visually. 
So, so, but I think it's 

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actually very important for us 
to address that input output 

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bandwidth constraint in order 
for the collective will of 

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humanity to match the will of 
artificial intelligence. 

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That's my intuition at least. 
So let's see and, and what what 

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this presentation is mostly 
about is attracting smart humans

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to come and work with us on this
problem. 

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So this is not a presentation to
raise money or anything like 

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that. 
We're actually, you know, very 

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well funded. 
We have a lot of great 

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investors. 
Some of the smartest people in 

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the world are invested in neural
link, but we we need smart 

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humans to come here and help 
solve this problem. 

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So with that, let's let's 
proceed. 

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Hey everyone, my name is DJ, my 
Co founder and president of 

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Neuro Link. 
And as Elon mentioned, well, 

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actually we're standing in the 
middle of our robot space. 

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We have a stage set up, but you 
know, this is actually where 

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some of the next generation most
advanced surgical robots are 

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being built. 
So welcome to our space. 

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It's important to highlight that
this technology is not being 

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built in the dark. 
This is not a secret lab where 

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we're not sharing any of the 
progress. 

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In fact, we're actually sharing,
you know the progress very 

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openly and as well as also 
telling you exactly what we're 

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going to be doing. 
And we're hoping to progress on 

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that as as diligently and as 
safely and as carefully as 

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possible. 
So to start off, 2 years ago 

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when we did our previous 
fundraising round, we outlined 

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this path and timeline to 1st 
Human. 

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And we currently have a clinical
trials in the US for a product 

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that we call Telepathy, which 
allows users to control phone or

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computer purely with their 
thoughts. 

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And you're going to see how we 
do this and what the impact that

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this has had. 
And not only have we launched 

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this clinical trial, but as of 
today, we have not just one, but

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7 participants and we have an 
approval. 

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And we also have an approval to 
launch this trial in Canada, UK 

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and the UAE. 
So I guess before we dive into 

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what this technology is and what
we built, but I wanted to 

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quickly share a video with you 
guys of when our first five 

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participants met each other for 
the first time, so. 

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Here you go. 
All right, we have everyone 

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together. 
What's up guys? 

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Thanks everybody for joining. 
Definitely want to introduce all

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of you. 
Yeah, I'm Nolan, AKA P1. 

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My name's Alex. 
I am the second participant in 

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the Neural link study. 
I am Brad Smith, the ALS Cypler.

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P. 
Three, my name is Mike. 

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G4 ALS like Francis. 
Yeah, I'm RJ, I'm P5, and I 

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just, yes, I'm trying to do this
one to the team here. 

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So yeah, appreciate it. 
And all them Trailblazer, you 

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know, somebody's got to get 
first, man. 

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That was you. 
Appreciate that. 

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What's been your favorite thing 
you've been able to do with the 

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neural link so far? 
I've just had a good time being 

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able to use it as I travel 
flying and draw a little 

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mustache on a cat. 
Had a lot of fun doing that. 

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I mean, I've just had a good 
time playing around with it. 

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Oh, you know what? 
I do know what my favorite BCI 

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feature is? 
Probably not a feature, but I 

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just I love web grid more than I
love anything in my life 

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probably. 
I think I could play that game 

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non-stop forever. 
Has to be Fusion 360. 

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Being able to design parts, 
design the hat logo with the 

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BCI. 
That's what's up. 

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00:16:15,000 --> 00:16:16,160
Pretty sweet. 
That's sweet. 

233
00:16:16,520 --> 00:16:23,560
Yeah, yeah, I have a little 
Arduino that takes input from my

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00:16:23,560 --> 00:16:29,880
quad stick, converts it into 
APPM signal to go to ARC truck. 

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00:16:30,920 --> 00:16:34,920
Cool Little Rock crawler. 
Well, with the BCII. 

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00:16:36,640 --> 00:16:41,320
Wrote code, can you? 
To drive the plane with the quad

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00:16:41,400 --> 00:16:46,080
stick, that's awesome. 
The best thing I like about an 

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airline is being able to 
continue. 

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00:16:51,360 --> 00:16:58,120
To provide for my family and 
continue working. 

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I think my favorite thing is 
probably been able to turn on my

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00:17:02,120 --> 00:17:05,079
TV. 
Yeah, like the first time in 2 

242
00:17:05,079 --> 00:17:07,400
1/2 years I was able to do that.
So it's pretty sweet. 

243
00:17:07,400 --> 00:17:10,560
But I like shooting the hobbies.
That's that's kind of nice. 

244
00:17:11,079 --> 00:17:13,160
Excited to see what BC is got 
going on. 

245
00:17:14,040 --> 00:17:15,760
I got a question. 
What's your shirt say? 

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00:17:16,640 --> 00:17:18,440
I said. 
I'd do a thing called whatever I

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want. 
Now, one of the major figure of 

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merits that we have is to keep 
track of monthly hours of 

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00:17:35,680 --> 00:17:38,960
independent PCI use. 
Effectively, are they using the 

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00:17:38,960 --> 00:17:42,600
PCI and not at the clinic but at
their home. 

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And what we have noticed and 
this is a plot of all of the 

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different participants, first 
five participants and their 

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usage per month over the course 
of the last year and a half. 

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And we're averaging around 50 
hours a week of usage and in 

255
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some cases peak usage of more 
than 100 hours a week, which is 

256
00:18:00,440 --> 00:18:01,800
pretty much every waking 
moments. 

257
00:18:09,800 --> 00:18:12,720
So I think it's been incredible 
to see all of our participants 

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demonstrating greater 
independence through their use 

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of BCI. 
Not only that, we've also 

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accelerated our implantation 
cadence as we've amassed 

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evidence of both clinical safety
as well as value to our 

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participants. 
So to date, we have 4 spinal 

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cord injury participants as well
as three ALS participants with 

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the last two surgeries happening
within one week of each other. 

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And we're just beginning. 
This is just tip of the iceberg.

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Our end goal is to really build 
a whole brain interface. 

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And what do we mean by whole 
brain interface? 

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We mean being able to listen to 
neurons everywhere, be able to 

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write information to neurons 
anywhere, be able to have that 

270
00:18:58,280 --> 00:19:01,800
fast data wireless transfer to 
enable that high bandwidth 

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00:19:01,800 --> 00:19:06,080
connection from our biological 
brain to the external machines 

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and be able to do all of this 
with fully automated surgery as 

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00:19:11,040 --> 00:19:13,520
well as enable 24 hours of 
usage. 

274
00:19:16,440 --> 00:19:19,360
And towards that goal, we're 
really working on three major 

275
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product types. 
Elon mentioned earlier that our 

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00:19:21,920 --> 00:19:25,600
goal is to build a generalized 
input output platform and 

277
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technology to the brain. 
So to afford the output portion 

278
00:19:29,560 --> 00:19:33,680
of it, which is extremely slow 
through our meat sticks as as 

279
00:19:33,680 --> 00:19:39,720
Elon calls them, neat hands that
are holding the mics. 

280
00:19:41,080 --> 00:19:44,160
We're starting out with helping 
people with movement disorders 

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either through where they lost 
the mind body connection either 

282
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through a spinal cord injury, 
ALS or a stroke. 

283
00:19:50,520 --> 00:19:53,880
Be able to regain some of that 
digital as well as physical 

284
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independence through a product 
that we're building called 

285
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Telepathy. 
And this is our opportunities to

286
00:19:59,240 --> 00:20:01,800
build a high channel read and 
output device. 

287
00:20:03,240 --> 00:20:05,560
On the input side of things, 
there's. 

288
00:20:06,440 --> 00:20:08,880
Opportunities for us to help 
people that have lost the 

289
00:20:08,880 --> 00:20:13,440
ability to to see be able to 
regain that site again through a

290
00:20:13,440 --> 00:20:15,120
product that we're calling blind
sight. 

291
00:20:15,480 --> 00:20:18,520
And this is our opportunity to 
build high channel right 

292
00:20:18,760 --> 00:20:22,360
capabilities. 
And last but not least, be able 

293
00:20:22,360 --> 00:20:25,760
to also help people that are 
suffering from neurological 

294
00:20:27,040 --> 00:20:30,360
debilitating dysregulation or 
psychiatric conditions or 

295
00:20:30,840 --> 00:20:35,120
neuropathic pain. 
By inserting our electrodes in 

296
00:20:35,760 --> 00:20:39,680
reaching any brain regions to be
able to insert them not just on 

297
00:20:39,680 --> 00:20:43,280
the cortical layer but into the 
sulk eyes as well as deeper 

298
00:20:43,280 --> 00:20:46,880
parts of the brain. 
The so-called limbic system to 

299
00:20:47,200 --> 00:20:49,840
really enable better 
opportunities to just regain 

300
00:20:49,840 --> 00:20:54,920
some of that independence. 
Our North Star metrics is 1. 

301
00:20:54,960 --> 00:20:58,200
Increasing the number of neurons
that we can interface with. 

302
00:20:58,720 --> 00:21:02,360
And 2nd, to expand to many 
diverse area any parts of the 

303
00:21:02,360 --> 00:21:06,040
brain, starting with 
microfabrication or lithography 

304
00:21:06,040 --> 00:21:09,400
to change the way in which we 
can actually increase the number

305
00:21:09,400 --> 00:21:11,400
of neurons that we can see from 
a single channel. 

306
00:21:12,160 --> 00:21:17,360
And also doing mixed signal chip
design to actually increase the 

307
00:21:17,360 --> 00:21:22,640
physical channel counts to 
increase more neurons that we 

308
00:21:22,640 --> 00:21:27,200
can interface to, to, to sort of
allow more information from the 

309
00:21:27,200 --> 00:21:30,440
brain to the outside world. 
And then you know, everything we

310
00:21:30,440 --> 00:21:34,320
built from day one of the 
company has always been read and

311
00:21:34,320 --> 00:21:37,040
write capable. 
And with telepathy, our first 

312
00:21:37,040 --> 00:21:40,680
product, the focus has been on 
the read capabilities or the 

313
00:21:40,680 --> 00:21:43,200
output. 
And we want to hone in on our 

314
00:21:43,200 --> 00:21:47,280
write capability and also show 
that through accessing deeper 

315
00:21:47,280 --> 00:21:50,960
regions within the, the, the 
visual cortex that we can 

316
00:21:50,960 --> 00:21:52,320
actually achieve functional 
vision. 

317
00:21:52,320 --> 00:21:55,400
Let's. 
Go. 

318
00:22:04,360 --> 00:22:07,320
So now just to step you through 
what the product evolution is 

319
00:22:07,320 --> 00:22:08,960
going to look like in the next 
three years. 

320
00:22:09,520 --> 00:22:14,080
Today what we have is 1000 
electrodes in the motor cortex, 

321
00:22:14,080 --> 00:22:16,320
the part of the small part of 
the brain that you see in this 

322
00:22:16,320 --> 00:22:20,400
animation called the hand knob 
area that allows participants 

323
00:22:20,400 --> 00:22:22,760
control computer cursors as well
as gaming consoles. 

324
00:22:24,040 --> 00:22:28,960
Next quarter, we're planning to 
implant in the speech cortex to 

325
00:22:28,960 --> 00:22:33,920
directly decode attentive words 
from brain signals to speech. 

326
00:22:33,920 --> 00:22:41,400
And in 2026, not only are we 
going to triple the number of 

327
00:22:42,160 --> 00:22:46,640
electrodes from 1000 to 3000 for
more capabilities, we're 

328
00:22:46,640 --> 00:22:50,040
planning to have our first blind
side participant to enable 

329
00:22:50,040 --> 00:23:01,800
navigation. 
And in 2027, we're going to 

330
00:23:01,800 --> 00:23:04,960
continue increasing channel 
counts, probably another triple,

331
00:23:04,960 --> 00:23:10,320
so 10,000 channels and also 
enable for the first time 

332
00:23:10,320 --> 00:23:14,320
multiple implants, so not just 
one in motor cortex, speech 

333
00:23:14,320 --> 00:23:16,920
cortex or visual cortex, but all
of the above. 

334
00:23:20,280 --> 00:23:25,200
And finally, in 2028, our goal 
is to get to more than 25,000 

335
00:23:25,200 --> 00:23:29,360
channels per implant, have 
multiple of these, have ability 

336
00:23:29,360 --> 00:23:33,200
to access any part of the brain 
for psychiatric conditions, pain

337
00:23:33,920 --> 00:23:37,240
dysregulation and also start to 
demonstrate what it would be 

338
00:23:37,240 --> 00:23:38,920
like to actually integrate with 
AI. 

339
00:23:47,900 --> 00:23:50,700
And all this is to say that 
we're really building towards 

340
00:23:51,040 --> 00:23:54,440
set of fundamental foundational 
technology that would allow us 

341
00:23:54,440 --> 00:23:57,320
to have hundreds of thousands, 
if not millions of channels with

342
00:23:57,320 --> 00:23:59,920
multiple implants for whole 
grain interfaces that could 

343
00:23:59,920 --> 00:24:02,640
actually solve not just these 
debilitating neurological 

344
00:24:02,640 --> 00:24:06,320
conditions, but be able to go 
beyond the the limits of our 

345
00:24:06,320 --> 00:24:08,360
biology. 
And this vertical integration. 

346
00:24:08,360 --> 00:24:11,600
And the talent and team that we 
have at Neural Link has been and

347
00:24:11,600 --> 00:24:14,560
will continue to be the key 
recipe for rapid progress that 

348
00:24:14,560 --> 00:24:17,520
we will be making. 
Just to recap real quick, Neural

349
00:24:17,520 --> 00:24:20,320
Link is implanted with precision
surgical robot. 

350
00:24:21,120 --> 00:24:25,440
It's physically invisible and 
one week later users are able to

351
00:24:25,440 --> 00:24:28,840
see their thoughts, transform 
into actions and to share more 

352
00:24:28,840 --> 00:24:31,000
about what that experience is 
like. 

353
00:24:31,720 --> 00:24:33,720
I'd like to welcome Sahej to the
station. 

354
00:24:47,720 --> 00:24:50,200
What's up guys? 
My name is Sahej, I'm from the 

355
00:24:50,200 --> 00:24:53,080
Brain Computer Interface team 
here at Neurolink, and I'm going

356
00:24:53,080 --> 00:24:54,600
to be talking about two things 
today. 

357
00:24:55,160 --> 00:24:58,160
The first thing is, what exactly
is the neural link device 

358
00:24:58,160 --> 00:25:01,520
capable of doing right now? 
And the second one is how does 

359
00:25:01,520 --> 00:25:04,360
that actually impact the 
day-to-day lives of our users? 

360
00:25:05,640 --> 00:25:10,440
Very Simply put, what the neural
link device does right now is it

361
00:25:10,440 --> 00:25:14,240
allows you to control devices 
simply just by thinking. 

362
00:25:14,640 --> 00:25:18,080
Now to put that a bit more 
concretely, I'm about to play a 

363
00:25:18,080 --> 00:25:20,880
video of our first user. 
His name is Noland, if you 

364
00:25:20,880 --> 00:25:25,320
remember from DJ section. 
And what Noland is doing is he's

365
00:25:25,320 --> 00:25:28,120
looking at a normal off the 
shelf MacBook Pro. 

366
00:25:28,560 --> 00:25:31,840
And with his Neurolink devices, 
you're going to see he's going 

367
00:25:31,840 --> 00:25:34,760
to be able to control the cursor
simply with his mind. 

368
00:25:34,760 --> 00:25:36,840
No eye tracking, no other 
sensors. 

369
00:25:37,240 --> 00:25:40,880
And what's special about this 
particular moment is this is the

370
00:25:40,880 --> 00:25:43,920
first time someone is using a 
Neurolink device to fully 

371
00:25:43,920 --> 00:25:50,200
control their cursor. 
This is not your ordinary brain 

372
00:25:50,200 --> 00:25:53,200
controlled cursor. 
This is actually a 

373
00:25:53,200 --> 00:25:56,920
record-breaking control 
literally on day one, beating 

374
00:25:56,920 --> 00:25:58,920
decades of brain computer 
research. 

375
00:25:59,600 --> 00:26:03,800
And I'm about to show you the 
clip on day one, Nolan breaking 

376
00:26:03,800 --> 00:26:20,640
the BCI world record. 
Oh well done man, He's a new 

377
00:26:20,640 --> 00:26:30,000
world record holder. 
I. 

378
00:26:31,600 --> 00:26:34,240
Thought it was higher. 
I thought I would have to get to

379
00:26:34,240 --> 00:26:37,120
5 or something. 
Oh my gosh, that's crazy. 

380
00:26:39,240 --> 00:26:47,920
It's pretty cool, yeah. 
Another really fun thing you 

381
00:26:47,920 --> 00:26:50,800
could do with the newer Link 
device, outside of controlling a

382
00:26:50,800 --> 00:26:53,720
computer cursor, is you can 
actually plug it in through USB 

383
00:26:53,720 --> 00:26:55,040
through a lot of different 
devices. 

384
00:26:55,600 --> 00:26:58,440
And here we actually have Nolan 
playing Mario Kart. 

385
00:26:58,880 --> 00:27:02,800
Now, what's special about this 
particular clip is Nolan is not 

386
00:27:02,800 --> 00:27:05,120
the only Cyborg playing Mario 
Kart in this clip. 

387
00:27:05,560 --> 00:27:08,360
We actually have a whole 
community of users, as mentioned

388
00:27:08,360 --> 00:27:10,760
earlier. 
And this is literally five of 

389
00:27:10,760 --> 00:27:14,080
our first users of Neuralink 
playing Mario Kart together over

390
00:27:14,080 --> 00:27:26,440
call now. 
Yeah, Mario Kart is, it's cool. 

391
00:27:26,440 --> 00:27:28,440
You know, you're using one 
joystick and then you're 

392
00:27:28,440 --> 00:27:30,360
clicking like a couple buttons 
to throw items. 

393
00:27:31,160 --> 00:27:34,280
What would be even cooler is 
what if you could control 2 

394
00:27:34,280 --> 00:27:37,160
joysticks at once simultaneously
with your mind? 

395
00:27:37,880 --> 00:27:40,240
What I'm about to show you, and 
I think this is for the first 

396
00:27:40,240 --> 00:27:43,240
time someone playing a first 
person shooter game with a brain

397
00:27:43,240 --> 00:27:47,680
computer interface. 
This is Alex and RJ playing Call

398
00:27:47,680 --> 00:27:51,040
of Duty controlling 1 joystick 
to move and then the other 

399
00:27:51,040 --> 00:27:53,440
joystick to like think, point 
your gun and then shooting 

400
00:27:53,440 --> 00:27:57,320
people as a button. 
Here's the larger Here's Alex 

401
00:27:57,880 --> 00:27:59,240
shooting another person. 
'S bikes. 

402
00:28:00,480 --> 00:28:05,880
Oh dear God, I know I do and I. 
Want him to freaking. 

403
00:28:05,880 --> 00:28:10,400
Choose long. 
When I do, I know he's shot me 

404
00:28:10,400 --> 00:28:14,680
in the face. 
Now that we have a bit of a 

405
00:28:14,680 --> 00:28:18,360
sense of what the BCI can do, a 
very important question to 

406
00:28:18,360 --> 00:28:22,000
answer is how does this impact 
the day-to-day lives of the 

407
00:28:22,000 --> 00:28:26,720
people that use it every day? 
So I'm about to show you a clip 

408
00:28:26,800 --> 00:28:29,760
going back to Nolan for a second
where he talks. 

409
00:28:29,760 --> 00:28:33,240
We simply just asked him 
randomly during a day how he 

410
00:28:33,240 --> 00:28:36,520
enjoys using the BCI couple 
months ago and this is his 

411
00:28:36,520 --> 00:28:41,240
candid reaction. 
I work basically all day from 

412
00:28:41,520 --> 00:28:45,040
when I wake up. 
I'm trying to wake up at like 

413
00:28:45,440 --> 00:28:49,560
6:00 or 7:00 AM and I'll do work
until session. 

414
00:28:49,560 --> 00:28:57,080
I'll do session and then I'll 
work until, you know, 11:12 PM 

415
00:28:57,280 --> 00:29:05,800
or 12:00 AM I'm, I'm doing like 
I'm learning my languages, I'm 

416
00:29:07,120 --> 00:29:09,680
learning my math. 
I'm like relearning all of my 

417
00:29:09,680 --> 00:29:14,760
math. 
I am writing, I am doing the 

418
00:29:14,800 --> 00:29:19,880
class that I signed up for and I
just I wanted to point out that 

419
00:29:20,240 --> 00:29:25,080
like this is not something I 
would be able to do out like 

420
00:29:25,080 --> 00:29:28,480
without the neuro link. 
Next I want to talk a bit about 

421
00:29:28,480 --> 00:29:30,120
Brad. 
You guys may already know him as

422
00:29:30,120 --> 00:29:34,360
the ALS Cyborg and Brad also has
ALS and what separates him from 

423
00:29:34,360 --> 00:29:37,360
other users is he's actually non
verbal so he can't speak. 

424
00:29:38,480 --> 00:29:42,040
Why this is pretty relevant is 
he relies at least before the 

425
00:29:42,040 --> 00:29:45,320
neuro link on an eye gaze 
machine to communicate and a lot

426
00:29:45,320 --> 00:29:47,520
of eye gaze machines you can't 
use outdoors. 

427
00:29:47,920 --> 00:29:49,480
You really need like a dark 
room. 

428
00:29:49,960 --> 00:29:52,840
So what this means is for the 
last six years since Brad's been

429
00:29:52,840 --> 00:29:57,160
diagnosed with ALS, he's really 
unable to leave his house. 

430
00:29:57,320 --> 00:29:59,120
Now with the Neuralink device, 
we're going to show you a clip 

431
00:29:59,560 --> 00:30:03,000
of him with his kids at the 
park, shot by Ashley Vance and 

432
00:30:03,000 --> 00:30:07,440
the team Guys ready. 
No, absolutely. 

433
00:30:08,840 --> 00:30:11,600
I am absolutely doing more with 
Neuralink than I was doing with 

434
00:30:11,600 --> 00:30:17,120
eye gaze. 
I've been a Batman for a long 

435
00:30:17,120 --> 00:30:21,320
time, but I go outside now. 
Going outside has been a huge 

436
00:30:21,360 --> 00:30:24,920
blessing for me and I can 
control the computer with 

437
00:30:24,920 --> 00:30:26,600
telepathy. 
Dad's watching. 

438
00:30:27,240 --> 00:30:28,680
OK, He's. 
Watching on the camera, did he? 

439
00:30:30,280 --> 00:30:32,760
Lose. 
One of the arms the last user I 

440
00:30:32,760 --> 00:30:35,440
want to talk about is Alex. 
You've seen some clips of him 

441
00:30:35,440 --> 00:30:37,960
earlier. 
What's special about Alex to me 

442
00:30:38,320 --> 00:30:41,560
is he's a fellow left-handed guy
who writes in cursive all the 

443
00:30:41,560 --> 00:30:43,600
time. 
And what he mentioned is since a

444
00:30:43,600 --> 00:30:47,520
spinal cord injury from like, 
3-4 years ago, he's been able 

445
00:30:47,520 --> 00:30:50,240
unable to just, like, draw or 
write. 

446
00:30:51,240 --> 00:30:53,400
And he always brags about how 
good his handwriting was. 

447
00:30:53,400 --> 00:30:55,040
So we actually got to put in a 
test. 

448
00:30:55,040 --> 00:30:57,560
We gave him a robotic arm. 
And I think this is the first 

449
00:30:57,560 --> 00:31:00,840
time you tried using the robotic
arm to write anything. 

450
00:31:01,000 --> 00:31:04,200
And this is a spotted version of
writing at the convoy trial and 

451
00:31:04,200 --> 00:31:15,840
drawing something now. 
Yeah, controlling A robotic arm 

452
00:31:15,840 --> 00:31:18,200
is cool, but this one has a 
clamp. 

453
00:31:18,480 --> 00:31:21,720
And what would be cooler is if 
you could decode the actual 

454
00:31:21,720 --> 00:31:24,520
fingers, the actual wrist, all 
the muscles of the hand in real 

455
00:31:24,520 --> 00:31:28,480
time. 
Just in the past couple weeks we

456
00:31:28,480 --> 00:31:31,880
were able to do that with Alex 
and you're about to see him and 

457
00:31:31,880 --> 00:31:37,640
his uncle playing a game. 
Rock, paper, scissors shoot. 

458
00:31:39,240 --> 00:31:45,200
Rock, paper, scissors shoot. 
Rock, paper, scissors shoot 

459
00:31:46,520 --> 00:31:47,840
rock. 
Paper. 

460
00:31:48,000 --> 00:31:49,040
Scissors. 
Shoot. 

461
00:32:09,640 --> 00:32:11,120
Cool. 
Controlling. 

462
00:32:11,120 --> 00:32:12,840
Yeah, that's pretty dope. 
I don't know. 

463
00:32:18,040 --> 00:32:22,760
And controlling A robotic hand 
on screen is obviously not super

464
00:32:22,760 --> 00:32:26,640
helpful for most people. 
Fortunately, we have connections

465
00:32:26,640 --> 00:32:30,720
with Tesla, who have the 
optimist hand, and we're 

466
00:32:30,720 --> 00:32:36,080
actually actively working on 
giving Alex an optimist hand so 

467
00:32:36,080 --> 00:32:38,240
that you could actually control 
it in his real life. 

468
00:32:39,000 --> 00:32:43,000
And here's actual replay of the 
end of that video using Alex's 

469
00:32:43,000 --> 00:32:46,000
neural signals on an Optus hand.
Sean, if you want to play that, 

470
00:32:53,120 --> 00:32:59,600
Yeah. 
Actually, let me maybe add a few

471
00:32:59,600 --> 00:33:05,880
things to that, which is so as 
we advance the neural link 

472
00:33:05,880 --> 00:33:11,600
devices, you should be able to 
actually have full body control 

473
00:33:11,600 --> 00:33:14,000
and sensors from an optimist 
robot. 

474
00:33:14,000 --> 00:33:17,600
So you could basically inhabit 
an optimist robot. 

475
00:33:17,600 --> 00:33:20,760
So not just the hand the whole, 
the whole thing. 

476
00:33:21,800 --> 00:33:26,640
So you could like basically 
mentally remote into an optimist

477
00:33:27,280 --> 00:33:32,160
robot and and be kind of cool. 
The future's going to be weird, 

478
00:33:33,840 --> 00:33:41,040
but but but pretty cool. 
And then now I was. 

479
00:33:41,640 --> 00:33:43,640
Another thing that could be done
also is like for people that 

480
00:33:43,640 --> 00:33:47,680
have say, lost a limb, lost an 
arm or a leg or something like 

481
00:33:47,680 --> 00:33:52,440
that, then we think in the 
future we'll be able to attach 

482
00:33:53,000 --> 00:33:57,640
an optimist's arm or legs. 
And so you kind of like, I 

483
00:33:57,640 --> 00:34:02,040
remember that scene from Star 
Wars where Luke Skywalker gets 

484
00:34:02,040 --> 00:34:05,160
his hand, you know, chopped over
the lightsaber and he gets kind 

485
00:34:05,160 --> 00:34:08,239
of a robot hand. 
And I think that's the kind of 

486
00:34:08,239 --> 00:34:11,920
thing that we'll be able to do 
in the future working with the 

487
00:34:11,920 --> 00:34:16,400
newer Lincoln Tesla. 
So, so it goes far beyond just 

488
00:34:16,400 --> 00:34:19,199
operating a robot hand, but 
replacing limbs and, and having 

489
00:34:19,199 --> 00:34:20,679
kind of a whole body robot 
experience. 

490
00:34:21,280 --> 00:34:25,840
And then I think another thing 
that will be possible, I think 

491
00:34:25,840 --> 00:34:30,080
it's very likely in the future 
is to be able to bridge the, the

492
00:34:30,159 --> 00:34:33,120
where the damaged neurons are. 
So you can take the signal from 

493
00:34:33,120 --> 00:34:38,000
the brain and, and transmit that
signal past where the neurons 

494
00:34:38,000 --> 00:34:40,960
are damaged or strained to the 
rest of the body. 

495
00:34:40,960 --> 00:34:44,440
So you could reanimate the body 
so that if you have a neural 

496
00:34:44,440 --> 00:34:48,120
link implant in the brain and 
then one in the spinal cord, 

497
00:34:48,520 --> 00:34:52,800
then you you can actually bridge
the signals and you could walk 

498
00:34:52,800 --> 00:34:55,560
again and have full body 
functionality. 

499
00:34:55,560 --> 00:34:57,160
Obviously that's what people 
would prefer. 

500
00:34:57,720 --> 00:35:00,320
To be clear, we realized that 
that would be the preferred 

501
00:35:00,320 --> 00:35:06,440
outcome and and so that even if 
you have a broken neck or you 

502
00:35:06,440 --> 00:35:09,600
could. 
So we believe I'm, I'm actually 

503
00:35:09,800 --> 00:35:11,920
at this point I'd say fairly 
confident that at some point in 

504
00:35:11,920 --> 00:35:14,920
the future we'll be able to 
restore full body functionality.

505
00:35:23,040 --> 00:35:24,680
Yes. 
So hello, hello everyone. 

506
00:35:24,680 --> 00:35:27,520
My name is Nir and I'm leading 
the BCR application group. 

507
00:35:28,200 --> 00:35:32,600
And I think the videos just that
Sahel just shared with you, I 

508
00:35:32,600 --> 00:35:36,280
probably watch them maybe 
thousands of time, but still I 

509
00:35:36,280 --> 00:35:38,120
get the goosebump every time I 
watch them. 

510
00:35:38,760 --> 00:35:41,120
And I think this is one of the 
cool perks here at New Orleans 

511
00:35:41,120 --> 00:35:44,040
when you get a job is that you 
might get goosebump every week 

512
00:35:44,080 --> 00:35:45,880
or maybe every few days in good 
weeks. 

513
00:35:46,440 --> 00:35:53,080
And, and this is really fun as 
an engineer, it's really cool 

514
00:35:53,080 --> 00:35:54,600
because you can build a new 
feature. 

515
00:35:54,600 --> 00:35:57,360
You can build a new machine 
learning model and use software 

516
00:35:57,360 --> 00:36:00,560
feature and test it on the same 
day with the participant and get

517
00:36:00,560 --> 00:36:04,320
feedback. 
And you already saw with our 

518
00:36:04,320 --> 00:36:08,800
first device Telepathy that we 
can address a very diverse needs

519
00:36:08,920 --> 00:36:13,480
of the different users that we 
have for moving a cursor to 

520
00:36:13,480 --> 00:36:16,760
playing games, to move a robotic
arm with multiple fingers. 

521
00:36:17,920 --> 00:36:20,320
And we could not have done it 
without the neural link device. 

522
00:36:20,600 --> 00:36:23,560
The neural link device gives us 
something that no other device 

523
00:36:23,560 --> 00:36:27,840
can give us, which is in a 
single neuron recording from 

524
00:36:27,840 --> 00:36:29,480
thousands of channels 
simultaneously. 

525
00:36:29,840 --> 00:36:32,600
The telepathy products is 
basically recording the neural 

526
00:36:32,600 --> 00:36:36,720
activity from the small area in 
the motor cortex that involve an

527
00:36:36,720 --> 00:36:38,640
execution of hand and arm 
movements. 

528
00:36:39,320 --> 00:36:42,520
But if we go only about two or 
three inches below, there's 

529
00:36:42,520 --> 00:36:45,400
another brain area that's 
involved in execution of speech.

530
00:36:46,360 --> 00:36:49,680
And with the same device, with 
the same machine learning model 

531
00:36:49,720 --> 00:36:52,920
architecture, the same software 
pipeline, the same surgical 

532
00:36:52,920 --> 00:36:55,560
robot, we can have a new 
application and we can do it 

533
00:36:55,560 --> 00:36:57,920
very quickly. 
It's really interesting that if 

534
00:36:57,920 --> 00:37:03,040
we can decode someone intention 
to speak silently and non vocal 

535
00:37:03,040 --> 00:37:06,800
communication, we can use that 
to revolutionize the way we 

536
00:37:06,800 --> 00:37:10,080
interact with computers, with 
technology and with information.

537
00:37:10,800 --> 00:37:13,920
Instead of typing with your 
finger or like moving the mouse 

538
00:37:14,360 --> 00:37:17,120
or talking to your phone, you'll
be able to interact with 

539
00:37:17,120 --> 00:37:18,720
computer with the speed of 
thoughts. 

540
00:37:19,840 --> 00:37:22,760
It will make this interaction 
much more, much faster and much 

541
00:37:22,760 --> 00:37:25,360
more intuitive. 
The computers will understand 

542
00:37:25,360 --> 00:37:28,080
what you want to do. 
And we can also expand that to 

543
00:37:28,080 --> 00:37:31,040
AI. 
We can now build an interface 

544
00:37:31,560 --> 00:37:35,680
with AI that you will be able to
achieve information, will be 

545
00:37:35,680 --> 00:37:40,120
able to store our thoughts 
anywhere, anytime, privately and

546
00:37:40,120 --> 00:37:42,800
silently. 
Again, because we build a 

547
00:37:42,800 --> 00:37:46,400
fundamental technology, a 
platform, and we do everything 

548
00:37:46,400 --> 00:37:49,200
in house. 
We own the entire stack from 

549
00:37:49,200 --> 00:37:51,480
neurons to pixels on the user's 
computer. 

550
00:37:52,280 --> 00:37:56,120
Now I'll pass pass it to RUSE to
talk about UI for Visa. 

551
00:38:03,050 --> 00:38:06,490
Thank you, NIA. 
Each spike that our implant 

552
00:38:06,490 --> 00:38:09,890
detects goes on a fairly 
remarkable journey to ultimately

553
00:38:09,890 --> 00:38:12,250
form a pixel on a participant's 
display. 

554
00:38:12,250 --> 00:38:18,210
And that experience starts with,
of course, unboxing, the very 

555
00:38:18,210 --> 00:38:21,650
first time that a participant 
pairs to and meets their 

556
00:38:21,650 --> 00:38:26,520
implant, this invisible part of 
their body, and sees their own 

557
00:38:26,520 --> 00:38:28,960
spikes materialize across the 
display. 

558
00:38:30,960 --> 00:38:34,280
From there, they'll go into body
mapping and actually imagine 

559
00:38:34,280 --> 00:38:38,040
moving their arm again and get a
feel for what feels natural to 

560
00:38:38,040 --> 00:38:41,760
them and what doesn't. 
And they'll take that into 

561
00:38:41,760 --> 00:38:47,640
calibration, using one of those 
motions to actually move a 

562
00:38:47,640 --> 00:38:52,360
cursor again, iteratively 
refining their control as they 

563
00:38:52,360 --> 00:38:57,520
go throughout this process, 
until finally they're teleported

564
00:38:57,760 --> 00:39:02,640
back to their desktop and can 
experience the magic of neural 

565
00:39:02,640 --> 00:39:07,640
control for the very first time.
And our control interfaces is 

566
00:39:07,640 --> 00:39:12,560
where the OS integration that we
do really shines, letting us 

567
00:39:12,560 --> 00:39:17,360
adapt both control and feedback 
for every interaction. 

568
00:39:17,720 --> 00:39:21,400
So for familiar interactions 
like scrolling, we can surface 

569
00:39:21,400 --> 00:39:25,480
an indicator over the scrollable
parts of the display, add a 

570
00:39:25,480 --> 00:39:27,680
touch of gravity to 
automatically pop a 

571
00:39:27,680 --> 00:39:32,840
participant's cursor onto that 
indicator as they approach, show

572
00:39:32,840 --> 00:39:36,040
the actual velocities that we 
decode inside of it, and add a 

573
00:39:36,040 --> 00:39:39,040
bit of momentum to those 
velocities to carry them forward

574
00:39:39,040 --> 00:39:43,400
as they glide across the page. 
There are also unique 

575
00:39:43,400 --> 00:39:45,760
interactions that we need to 
solve for in this space. 

576
00:39:46,280 --> 00:39:49,160
For example, when a participant 
is watching a movie or just 

577
00:39:49,160 --> 00:39:53,360
talking to somebody next to 
them, the brain is very active 

578
00:39:53,360 --> 00:39:56,400
still, and that activity can 
actually induce motion in the 

579
00:39:56,400 --> 00:39:58,560
cursor, distracting them from 
that moment. 

580
00:39:59,240 --> 00:40:01,800
So when a participant wants to 
just get their cursor out of the

581
00:40:01,800 --> 00:40:05,240
way, they can push it into the 
edge of the display to park it 

582
00:40:05,240 --> 00:40:07,840
there. 
And of course we add gravity to 

583
00:40:07,840 --> 00:40:12,400
sort of hold it still, but they 
can push it out with either just

584
00:40:12,400 --> 00:40:14,680
a firm push or in this case, a 
gesture. 

585
00:40:16,480 --> 00:40:19,280
And of course, it's when it goes
without saying that all of these

586
00:40:19,280 --> 00:40:21,840
control interfaces are designed 
hand in hand with our 

587
00:40:21,840 --> 00:40:24,360
participants. 
So huge shout out to both Noland

588
00:40:24,360 --> 00:40:26,240
and Brad for helping us design 
these two. 

589
00:40:27,240 --> 00:40:30,040
And those control interfaces, of
course, extend typing. 

590
00:40:30,560 --> 00:40:33,040
We have a great software 
keyboard that does everything 

591
00:40:33,040 --> 00:40:35,920
you'd expect it to, popping up 
when a participant clicks on a 

592
00:40:35,920 --> 00:40:39,080
text field, giving them feedback
about the click on the surface 

593
00:40:39,080 --> 00:40:41,880
of the key, and supporting both 
dictation and swipe. 

594
00:40:49,440 --> 00:40:52,400
Hi everyone, I'm Harrison and ML
Engineer here at Neural Link. 

595
00:40:52,880 --> 00:40:55,720
And I must say, being an ML 
engineer at Neural Link is a bit

596
00:40:55,720 --> 00:40:57,280
like being a kid in a candy 
store. 

597
00:40:59,640 --> 00:41:02,640
When you think of the inputs to 
most ML systems out there, you 

598
00:41:02,640 --> 00:41:06,200
might think of pixels of tokens 
or of a user's Netflix watch 

599
00:41:06,200 --> 00:41:09,320
history. 
The input to our systems is a 

600
00:41:09,320 --> 00:41:13,000
little different. 
It is pure raw brain power. 

601
00:41:13,240 --> 00:41:15,720
And when we think about the ML 
systems we can build here at 

602
00:41:15,720 --> 00:41:18,400
Neuralink, really we're limited 
by our imagination and our 

603
00:41:18,400 --> 00:41:21,320
creativity. 
There's no reason our ML systems

604
00:41:21,320 --> 00:41:24,960
can't do anything that the human
brain can do, such as 

605
00:41:25,080 --> 00:41:28,360
controlling a phone, typing, or 
even gaming. 

606
00:41:29,640 --> 00:41:32,640
Right here to my left is actual 
footage of Alex, one of our 

607
00:41:32,640 --> 00:41:36,400
participants, playing a first 
person shooter against RJ, 

608
00:41:36,400 --> 00:41:39,800
another one of our participants.
Now, for those unfamiliar with 

609
00:41:39,800 --> 00:41:42,320
first person shooters, this is 
not a trivial feat. 

610
00:41:42,440 --> 00:41:46,640
It requires 2 fully independent 
joysticks or 4 continuous 

611
00:41:46,640 --> 00:41:50,400
degrees of control, as well as 
multiple reliable buttons. 

612
00:41:51,600 --> 00:41:55,240
Now contrary to popular belief, 
the neural link does not simply 

613
00:41:55,320 --> 00:41:59,520
read people's minds, it's simply
reading neuronal activations 

614
00:41:59,520 --> 00:42:02,800
corresponding to motor intent. 
So one of the fun challenges 

615
00:42:02,800 --> 00:42:05,720
with this project was figuring 
out which motions were going to 

616
00:42:05,720 --> 00:42:09,120
be mapped to the joystick. 
We started with the typical left

617
00:42:09,120 --> 00:42:11,560
thumb and right thumb, but 
quickly found that the dominant 

618
00:42:11,560 --> 00:42:13,360
hand overshadowed the non 
dominant hand. 

619
00:42:14,240 --> 00:42:16,880
My personal favorite is we had 
one of our participants imagine 

620
00:42:16,880 --> 00:42:19,480
walking for the left joystick 
and aiming for the right 

621
00:42:19,480 --> 00:42:21,560
joystick. 
So in game, they were simply 

622
00:42:21,560 --> 00:42:25,560
doing naturalistic motions like 
you might do in virtual reality 

623
00:42:25,560 --> 00:42:28,240
in Ready Player 1, and that was 
really cool to watch. 

624
00:42:28,840 --> 00:42:32,280
What we ended up on was the 
thumb for the left joystick and 

625
00:42:32,280 --> 00:42:34,040
the wrist for the right 
joystick. 

626
00:42:34,320 --> 00:42:37,240
And I challenge the audience to 
try to replicate their emotions.

627
00:42:37,440 --> 00:42:39,520
I'm really in all of them being 
able to pull this off. 

628
00:42:40,160 --> 00:42:42,360
I want to talk a bit about the 
progress to our cursor 

629
00:42:42,360 --> 00:42:45,920
calibration experience. 
To my left, here you can see RJ 

630
00:42:45,920 --> 00:42:49,400
completing his first ever cursor
calibration with a redesigned 

631
00:42:49,400 --> 00:42:51,680
Open the Flow, where he first 
gather information about his 

632
00:42:51,680 --> 00:42:54,440
intent and how to map the neural
activity to the first time he 

633
00:42:54,440 --> 00:42:57,440
controls a cursor, to the final 
product where he has smooth and 

634
00:42:57,440 --> 00:43:02,160
fluid control of his computer. 
And most remarkably, this 

635
00:43:02,160 --> 00:43:06,800
experience took only 15 minutes 
from start to finish, 15 minutes

636
00:43:06,800 --> 00:43:15,880
from not 15 minutes from no 
control to fluid computer use. 

637
00:43:17,400 --> 00:43:20,360
Contrast that to a year and a 
half ago with P1, where that was

638
00:43:20,360 --> 00:43:23,000
multiple hours to get to the 
same level of control and 

639
00:43:23,000 --> 00:43:25,440
several engineers standing 
around a table pulling their 

640
00:43:25,440 --> 00:43:27,840
hair out. 
There was virtually no need for 

641
00:43:27,840 --> 00:43:29,680
neural link engineers to even be
at this session. 

642
00:43:30,000 --> 00:43:32,160
This was basically an 
out-of-the-box experience for 

643
00:43:32,160 --> 00:43:38,280
our participants. 
And even more remarkably, we're 

644
00:43:38,280 --> 00:43:41,560
continuing to smash day one 
records, with RJ being able to 

645
00:43:41,560 --> 00:43:45,560
achieve 7 BPS on his very first 
day with a neural link. 

646
00:43:49,840 --> 00:43:52,640
Now such an effective and 
efficient calibration process is

647
00:43:52,640 --> 00:43:56,040
only made possible by high 
fidelity estimations of a user 

648
00:43:56,040 --> 00:44:00,480
intention or labels. 
And to briefly illustrate just 

649
00:44:00,480 --> 00:44:03,240
how challenging of a problem 
that is, this is an animation of

650
00:44:03,240 --> 00:44:06,720
myself trying to draw circles on
my desktop with a mouse. 

651
00:44:07,360 --> 00:44:10,920
Now the task was simple, draw 
uniform circles at a constant 

652
00:44:10,920 --> 00:44:13,720
speed, repeatedly. 
And as you can see by that 

653
00:44:13,720 --> 00:44:15,840
animation, I am horrible at 
that. 

654
00:44:16,160 --> 00:44:19,200
Even though my intent was pretty
obvious, unambiguous, the 

655
00:44:19,200 --> 00:44:23,120
execution was really poor. 
There is a ton of variation in 

656
00:44:23,120 --> 00:44:27,840
both speed and the shape itself.
To visualize this a little 

657
00:44:27,840 --> 00:44:31,040
differently, each row here is 
one of those circles unwound in 

658
00:44:31,040 --> 00:44:34,040
time with synchronized starts, 
and you can just see how much 

659
00:44:34,040 --> 00:44:36,600
variation there is in the timing
of each circle as well as I'm 

660
00:44:36,600 --> 00:44:38,280
doing at any given point in 
time. 

661
00:44:40,840 --> 00:44:43,320
Orthogonal to the labeling 
problem is neural non 

662
00:44:43,320 --> 00:44:46,120
stationarity, or the tendency of
neural signals to drift over 

663
00:44:46,120 --> 00:44:48,840
time. 
And I think that's honestly a 

664
00:44:48,840 --> 00:44:51,400
beautiful thing, right? 
If you if your neural signals 

665
00:44:51,400 --> 00:44:54,520
didn't drift, you couldn't grow.
When you wake up the next day, 

666
00:44:54,800 --> 00:44:56,560
you're not the same person you 
were the day before. 

667
00:44:56,600 --> 00:44:59,960
You've learned, you've grown, 
you've changed, and so too must 

668
00:44:59,960 --> 00:45:02,440
your neural data change. 
This animation. 

669
00:45:02,440 --> 00:45:05,160
Here is a simple illustration of
the learned representation by 

670
00:45:05,160 --> 00:45:08,040
the decoder and how it drifts 
the further away we get from the

671
00:45:08,040 --> 00:45:10,440
day it was trained on. 
This is one of the key 

672
00:45:10,440 --> 00:45:13,160
challenges we need to solve here
at Neurolink to unlock fluid and

673
00:45:13,160 --> 00:45:14,840
product level experience for our
users. 

674
00:45:23,730 --> 00:45:29,770
Hey everyone, Hey everyone, my 
name is Joey. 

675
00:45:31,690 --> 00:45:35,090
Blind Sight is our project to 
build a visual prosthesis to 

676
00:45:35,090 --> 00:45:39,450
help the blind see again. 
Users would wear a pair of 

677
00:45:39,450 --> 00:45:45,400
glasses with an embedded camera 
and receive an implant in their 

678
00:45:45,400 --> 00:45:49,080
visual cortex. 
Scenes from the environment are 

679
00:45:49,080 --> 00:45:52,400
recorded by the camera and 
processed in the patterns of 

680
00:45:52,400 --> 00:45:57,840
stimulation delivered to the 
brain, causing visual perception

681
00:45:58,680 --> 00:46:02,600
and restoring functionality. 
Now blind sight will be enabled 

682
00:46:02,600 --> 00:46:04,840
by placing our implant into 
visual cortex. 

683
00:46:04,960 --> 00:46:07,640
This is a new brain area for us,
and this brings new 

684
00:46:07,640 --> 00:46:12,600
opportunities and challenges. 
So the surface of the brain for 

685
00:46:12,600 --> 00:46:16,360
visual cortex represents just a 
few degrees of angle in the 

686
00:46:16,360 --> 00:46:20,320
center of the visual field. 
Larger fields of view are 

687
00:46:20,320 --> 00:46:23,320
represented deep within the 
cortical folds of the calcarine 

688
00:46:23,320 --> 00:46:27,120
fissure. 
Our threads are able to access 

689
00:46:27,120 --> 00:46:30,600
these deeper structures, 
providing the possibility of 

690
00:46:30,600 --> 00:46:33,360
restoring vision over a 
functional, useful visual field.

691
00:46:34,320 --> 00:46:37,360
So the N1 implant has had 
experimental stimulation 

692
00:46:37,360 --> 00:46:41,960
capabilities for quite some 
time, but our new S2 chip is 

693
00:46:41,960 --> 00:46:44,160
designed from the ground up for 
stimulation. 

694
00:46:44,960 --> 00:46:49,640
It provides over 1600 channels 
of electrical stimulation, high 

695
00:46:49,640 --> 00:46:53,240
dynamic range recording 
capabilities and a wide range of

696
00:46:53,240 --> 00:46:55,480
micro stimulation currents and 
voltages. 

697
00:46:56,800 --> 00:46:59,240
We can achieve these 
capabilities because we are 

698
00:46:59,240 --> 00:47:02,480
vertically integrated and we 
designed this custom ASIC in 

699
00:47:02,480 --> 00:47:05,400
house. 
Similarly, we design and 

700
00:47:05,400 --> 00:47:08,640
fabricate our electrode threads 
in house, and here you can see 

701
00:47:08,640 --> 00:47:12,760
one of our standard threads 
designed for recording in an 

702
00:47:12,760 --> 00:47:15,800
electron micrograph for blind 
sight. 

703
00:47:15,800 --> 00:47:18,640
Our requirements are a little 
different, and our vertical 

704
00:47:18,640 --> 00:47:21,560
integration allows us to rapidly
iterate on the design and 

705
00:47:21,560 --> 00:47:24,200
manufacturing of these threads 
for this new purpose. 

706
00:47:25,480 --> 00:47:28,400
So here I'm using Red Arrows to 
highlight the electrode 

707
00:47:28,400 --> 00:47:32,040
contacts, which are optimized 
for stimulation. 

708
00:47:32,480 --> 00:47:35,000
And as you can see, they're a 
little bit larger, which results

709
00:47:35,000 --> 00:47:38,400
in a lower electrical impedance 
for safe and effective charge 

710
00:47:38,400 --> 00:47:40,360
delivery, which is important for
blind sight. 

711
00:47:43,080 --> 00:47:45,480
Now, how can we calibrate our 
implant for blind sight? 

712
00:47:46,200 --> 00:47:50,920
So here's one way we stimulate 
on the array, picking say three 

713
00:47:50,920 --> 00:47:54,200
different channels. 
The user perceives something, 

714
00:47:54,200 --> 00:47:57,840
say 3 spots of light somewhere 
in their visual field and points

715
00:47:57,840 --> 00:48:00,480
at them. 
We track their arm and eye 

716
00:48:00,480 --> 00:48:03,120
movements and repeat this 
process for each of the channels

717
00:48:03,120 --> 00:48:08,120
on the array. 
And here's what a simulated 

718
00:48:08,120 --> 00:48:10,840
example of a blind sight vision 
could look like after 

719
00:48:10,840 --> 00:48:24,440
calibration. 
Now I showed you how for blind 

720
00:48:24,440 --> 00:48:26,920
sight, we need to insert threads
deeper into the brain than we 

721
00:48:26,920 --> 00:48:30,640
have previously, and doing this 
requires state-of-the-art 

722
00:48:30,640 --> 00:48:34,000
medical imaging. 
So we worked with Siemens to get

723
00:48:34,000 --> 00:48:35,400
some of the best scanners on 
Earth. 

724
00:48:36,040 --> 00:48:40,160
We built out our imaging core 
from scratch in the past year. 

725
00:48:40,560 --> 00:48:41,840
Actually, it was faster than 
that. 

726
00:48:41,840 --> 00:48:43,880
It was about four months from 
dirt to done. 

727
00:48:45,200 --> 00:48:47,680
Since bringing the scanners 
online, we've scanned over 50 

728
00:48:47,680 --> 00:48:50,480
internal participants, building 
out a database of human 

729
00:48:50,480 --> 00:48:52,080
structural and functional 
anatomy. 

730
00:48:52,840 --> 00:48:55,760
What can we do with the imaging 
information from these scanners 

731
00:48:56,320 --> 00:48:59,080
so medical imaging can be used 
for surgical placement? 

732
00:48:59,360 --> 00:49:02,600
It lets us parcel it out brain 
regions by their function and we

733
00:49:02,600 --> 00:49:05,560
use our imaging capabilities to 
refine the placement for 

734
00:49:05,560 --> 00:49:08,120
telepathy. 
It also gives us the capability 

735
00:49:08,120 --> 00:49:11,000
to target new brain regions for 
future products such as blind 

736
00:49:11,000 --> 00:49:14,160
sight or speech prosthesis. 
And we're working towards more 

737
00:49:14,160 --> 00:49:17,040
capabilities. 
So one click, automated planning

738
00:49:17,040 --> 00:49:19,720
of surgery from functional 
images to robot insertion 

739
00:49:19,720 --> 00:49:21,880
targets. 
Here you can see a screen 

740
00:49:21,880 --> 00:49:24,520
capture from one of our in house
tooling to do end to end 

741
00:49:24,520 --> 00:49:27,080
surgical planning. 
You can see a region of motor 

742
00:49:27,080 --> 00:49:31,120
cortex known as hand knob and 
the thread trajectory plans that

743
00:49:31,120 --> 00:49:32,880
will be sent directly to the 
robot. 

744
00:49:34,080 --> 00:49:37,440
This is a really incredible 
degree of automation that's only

745
00:49:37,440 --> 00:49:39,680
possible because we're 
controlling the system from one 

746
00:49:39,680 --> 00:49:46,680
end to the other. 
My name is John and I lead the 

747
00:49:46,880 --> 00:49:50,560
robot mechanical team. 
This is our current R1 robot. 

748
00:49:50,560 --> 00:49:53,080
It was used to implant the first
7 participants. 

749
00:49:53,680 --> 00:49:56,360
This robot works really well, 
but it has a few flaws. 

750
00:49:56,360 --> 00:49:58,800
One of which is the cycle time 
is rather slow. 

751
00:49:59,160 --> 00:50:03,280
So to insert each thread it 
takes in a best case scenario 17

752
00:50:03,280 --> 00:50:05,800
seconds. 
And many cases external 

753
00:50:05,800 --> 00:50:09,560
disturbances cause us to have to
retry to reinsert, grasp that 

754
00:50:09,560 --> 00:50:13,480
thread and then reinsert it. 
To scale our number of neuron or

755
00:50:13,480 --> 00:50:16,360
neurons access through higher 
channel count, increased numbers

756
00:50:16,360 --> 00:50:19,000
of threads, we need to have a 
much faster cycle time. 

757
00:50:19,480 --> 00:50:23,800
So let me introduce our next 
generation robot, which is right

758
00:50:23,800 --> 00:50:34,520
here. 
Through rethinking the way that 

759
00:50:34,520 --> 00:50:36,720
we hold the implant in front of 
the robot, by holding it 

760
00:50:36,720 --> 00:50:39,560
directly in front on on the 
robot head, we will achieve an 

761
00:50:39,560 --> 00:50:43,720
11 times cycle time improvement.
So each thread takes 1 1/2 

762
00:50:43,720 --> 00:50:46,640
seconds. 
We also scale up a lot of 

763
00:50:46,800 --> 00:50:49,720
surgery. 
Workflow process improvements 

764
00:50:49,720 --> 00:50:52,600
through deleting the separate 
operator station and implant 

765
00:50:52,600 --> 00:50:55,200
stand. 
Now the outside of the robot 

766
00:50:55,560 --> 00:50:58,160
looks pretty similar between the
two, but it's what's inside that

767
00:50:58,160 --> 00:51:01,000
really counts. 
Each system has been redesigned 

768
00:51:01,000 --> 00:51:04,240
from the the ground up with the 
focus on reliability, 

769
00:51:04,240 --> 00:51:07,080
manufacturability, 
serviceability and using a lot 

770
00:51:07,080 --> 00:51:09,000
of our vertical integration 
techniques. 

771
00:51:09,000 --> 00:51:11,600
It's enabled us to have a lot 
more control of the system end 

772
00:51:11,600 --> 00:51:15,680
to end. 
Now that fast cycle time doesn't

773
00:51:15,680 --> 00:51:18,120
mean much if it's not compatible
with a significant portion of 

774
00:51:18,120 --> 00:51:22,040
the human population. 
Prior to each surgery we scan 

775
00:51:22,280 --> 00:51:24,560
our participants anatomy and 
ensure that they will be 

776
00:51:24,560 --> 00:51:26,960
compatible with the robot and 
vice versa. 

777
00:51:27,440 --> 00:51:30,280
Unfortunately, the robot isn't 
compatible with everyone so we 

778
00:51:30,280 --> 00:51:33,240
had to extend the reach of the 
needle in the next generation 

779
00:51:33,240 --> 00:51:36,080
robot and now we're compatible 
with more than 99% of the human 

780
00:51:36,080 --> 00:51:38,800
population. 
We've also increased the depth 

781
00:51:38,800 --> 00:51:40,160
of the needle can insert 
threads. 

782
00:51:40,440 --> 00:51:43,000
Now we can reach more than 50mm 
from the surface of the brain, 

783
00:51:43,200 --> 00:51:45,680
accessing and enabling new 
indications. 

784
00:51:46,240 --> 00:51:49,600
We have to produce a ton of 
custom sterile components for 

785
00:51:49,600 --> 00:51:51,880
each surgery. 
We actually supply more than 20 

786
00:51:51,880 --> 00:51:54,040
of these parts. 
Many of these parts are made 

787
00:51:54,040 --> 00:51:56,680
through traditional CNC 
manufacturing capabilities, 

788
00:51:56,680 --> 00:51:59,680
which we do just on the other 
side of this wall actually, and 

789
00:51:59,680 --> 00:52:02,400
some custom developed processes 
like this femtosecond laser 

790
00:52:02,400 --> 00:52:04,640
milling used to manufacture the 
tip of the needle. 

791
00:52:05,280 --> 00:52:09,360
Now these processes take quite a
bit of time, effort and cost. 

792
00:52:09,480 --> 00:52:12,800
So let's take a look at how 
we're going to reduce costs and 

793
00:52:12,800 --> 00:52:16,560
time for one of the components. 
So the current needle cartridge 

794
00:52:16,880 --> 00:52:20,280
has a total cycle time of about 
24 hours and the machine 

795
00:52:20,280 --> 00:52:24,200
components cost about $350.00. 
The final assembly is performed 

796
00:52:24,200 --> 00:52:26,040
by a set of like highly skilled 
technicians. 

797
00:52:26,280 --> 00:52:30,080
They have to glue 150 Micron 
diameter Canyon onto this wire 

798
00:52:30,080 --> 00:52:32,760
EDM machined stainless steel 
base plate. 

799
00:52:32,760 --> 00:52:36,080
They have to Electro Polish a 40
Micron wire into a sharp taper 

800
00:52:36,480 --> 00:52:39,200
and then they have to thread 
that 40 Micron wire into the a 

801
00:52:39,200 --> 00:52:43,800
60 Micron hole in the Canyon. 
This is done manually and then 

802
00:52:43,800 --> 00:52:46,080
they finally have to laser Weld 
all the components together. 

803
00:52:48,440 --> 00:52:51,640
Next generation needle cartridge
takes only 30 minutes of cycle 

804
00:52:51,640 --> 00:52:55,240
time and $15 in component. 
We were able to delete the wire 

805
00:52:55,240 --> 00:52:58,880
EDM machined base plate and the 
Kenya gluing step by switching 

806
00:52:58,880 --> 00:53:01,880
to an insert molded component. 
So we get a box of these base 

807
00:53:01,880 --> 00:53:04,800
plates with the Kenya was 
already installed for like 1000 

808
00:53:04,800 --> 00:53:07,120
of them for like a couple 5-10 
dollars a piece. 

809
00:53:07,640 --> 00:53:10,280
We also deleted the Electro 
polishing step with the revised 

810
00:53:10,280 --> 00:53:13,640
needle tip geometry, which is 
also compatible with inserting 

811
00:53:13,640 --> 00:53:17,040
the threads through the dura. 
We have a few revised 

812
00:53:17,040 --> 00:53:19,720
manufacturing techniques to 
delete the manual threading 

813
00:53:19,720 --> 00:53:22,600
through a basically a funnel. 
Rather simple, but it has been a

814
00:53:22,600 --> 00:53:24,720
big impact. 
And then we're able to delete 

815
00:53:24,720 --> 00:53:26,200
the laser alding through using 
crimping. 

816
00:53:32,440 --> 00:53:38,640
Hi. 
Hi. 

817
00:53:38,640 --> 00:53:40,600
I'm Julian. 
I'm one of the leads on the 

818
00:53:40,600 --> 00:53:44,240
implant team. 
So the way humans communicate 

819
00:53:44,240 --> 00:53:47,480
today, if they want to output 
information, is by using their 

820
00:53:47,480 --> 00:53:49,600
hands and their voice, as I'm 
doing right now. 

821
00:53:50,200 --> 00:53:53,160
And if you want to receive 
information, you use your ears 

822
00:53:53,160 --> 00:53:55,480
and your eyes. 
And of course, that's how you're

823
00:53:55,480 --> 00:54:00,720
receiving this very talk. 
But we've built this implant and

824
00:54:00,720 --> 00:54:04,200
this implant is very special 
because it is the first time 

825
00:54:04,480 --> 00:54:07,560
that we're able to add a 
completely new mode of data 

826
00:54:07,560 --> 00:54:09,880
transfer into and out of the 
brain. 

827
00:54:11,080 --> 00:54:14,000
If you look at this device in a 
nutshell, it's really just 

828
00:54:14,000 --> 00:54:17,120
sampling voltages in the brain 
and sending them over radio. 

829
00:54:17,720 --> 00:54:21,600
But if you zoom out and look at 
the system from end to end, what

830
00:54:21,600 --> 00:54:25,680
you actually see is that we're 
connecting your brain or 

831
00:54:25,760 --> 00:54:29,840
biological neural net to a 
machine learning model or a 

832
00:54:29,840 --> 00:54:32,000
silicon neural net on the right 
hand side. 

833
00:54:32,520 --> 00:54:36,920
And I actually think this is 
really elegant because the 

834
00:54:36,920 --> 00:54:39,520
machine learning model on the 
right hand side is in fact 

835
00:54:39,520 --> 00:54:42,440
inspired by neurons on the left 
hand side. 

836
00:54:42,760 --> 00:54:46,080
And so in some sense, we're 
really extending the fundamental

837
00:54:46,080 --> 00:54:48,920
substrate of the brain. 
For the first time, we're able 

838
00:54:48,920 --> 00:54:51,720
to do this in a mass market 
product that's a very, very 

839
00:54:51,720 --> 00:55:02,600
special piece of hardware. 
So these are some of the first 

840
00:55:02,600 --> 00:55:07,280
implants that we ever built. 
There are electrodes that were 

841
00:55:07,280 --> 00:55:09,880
made with our in house 
lithography tools. 

842
00:55:10,200 --> 00:55:12,680
We have custom ASICS that we 
also designed in house. 

843
00:55:13,000 --> 00:55:16,520
And this was really a platform 
for us to develop the technology

844
00:55:16,720 --> 00:55:20,160
that allows us to sense micro 
level volts in the brain across 

845
00:55:20,160 --> 00:55:21,960
thousands of channels 
simultaneously. 

846
00:55:22,760 --> 00:55:25,480
We learnt a lot from this. 
But as you'll notice in the 

847
00:55:25,480 --> 00:55:29,800
right to images, there are USBC 
connectors on these devices. 

848
00:55:30,080 --> 00:55:32,760
These were not really the most 
implantable implants. 

849
00:55:34,520 --> 00:55:38,640
This next set of images are the 
wireless implants, and it was a 

850
00:55:38,640 --> 00:55:42,200
complete evolution that we went 
through to add the battery, the 

851
00:55:42,200 --> 00:55:46,200
antenna, the radio, and to make 
it actually fully implantable. 

852
00:55:46,320 --> 00:55:48,960
Once it's implanted, it's 
completely invisible. 

853
00:55:49,120 --> 00:55:52,440
It's very compact, it's modular,
and it's a general platform that

854
00:55:52,440 --> 00:55:54,000
you can use in many places in 
the brain. 

855
00:55:55,480 --> 00:55:59,920
Going from that top row to the 
bottom row is very challenging. 

856
00:56:00,600 --> 00:56:03,200
The implant you see on the 
bottom right here is in fact the

857
00:56:03,200 --> 00:56:06,800
device that we have working in 
seven participants today, and 

858
00:56:06,800 --> 00:56:10,120
it's augmenting their brain 
every day and restoring their 

859
00:56:10,120 --> 00:56:12,080
autonomy. 
But getting to that point 

860
00:56:12,440 --> 00:56:15,280
involved a huge number of 
formidable engineering 

861
00:56:15,280 --> 00:56:17,400
challenges. 
We first had to make a hermetic 

862
00:56:17,400 --> 00:56:21,280
enclosure, passing 1000 separate
conductors through the enclosure

863
00:56:21,280 --> 00:56:23,840
of the device. 
We had to figure out how to make

864
00:56:23,840 --> 00:56:26,720
charging seamless and work with 
very tight thermal constraints 

865
00:56:26,720 --> 00:56:29,920
in a very, very small area. 
And then we also had to scale up

866
00:56:30,120 --> 00:56:32,680
our testing infrastructure so 
that we could support large 

867
00:56:32,680 --> 00:56:35,920
scale manufacturing and very 
safe devices and have confidence

868
00:56:35,960 --> 00:56:39,080
in our iteration cycle. 
So what's next? 

869
00:56:39,880 --> 00:56:43,280
We're going to be increasing our
manufacturing so that we don't 

870
00:56:43,280 --> 00:56:46,160
just produce, you know, a 
certain like a small number of 

871
00:56:46,160 --> 00:56:48,520
implants per year, but thousands
and then eventually millions of 

872
00:56:48,520 --> 00:56:50,800
implants per year. 
We're also going to be 

873
00:56:50,800 --> 00:56:55,000
increasing channel count. 
More channels means more neurons

874
00:56:55,000 --> 00:56:57,160
are sensed, which means more 
capabilities. 

875
00:56:57,760 --> 00:57:01,400
In some sense, We often think a 
lot about the the Moore's Law of

876
00:57:01,400 --> 00:57:02,920
neurons that we're interacting 
with. 

877
00:57:03,160 --> 00:57:06,920
And in the same way that Moore's
Law propelled forward many 

878
00:57:06,920 --> 00:57:10,080
subsequent revolutions in 
computing, we think that sensing

879
00:57:10,080 --> 00:57:13,280
more and more neurons will also 
completely redefine how we 

880
00:57:13,280 --> 00:57:15,960
interact with computers and 
reality at large. 

881
00:57:17,800 --> 00:57:19,360
I want to leave you with one 
final thought. 

882
00:57:20,360 --> 00:57:24,760
When I was a child I used a 56 
KB modem to access the Internet.

883
00:57:26,760 --> 00:57:29,240
If you remember what it's like, 
you would go to a website. 

884
00:57:29,560 --> 00:57:32,000
You're lucky. 
You're lucky. 

885
00:57:32,000 --> 00:57:35,120
Bastard. 
Yeah, When I was a child we had 

886
00:57:35,120 --> 00:57:37,000
acoustic couplers. 
Oh yeah, OK. 

887
00:57:37,520 --> 00:57:39,640
So just beep. 
Just beep at each other. 

888
00:57:39,800 --> 00:57:43,240
Yeah, the the first modem was 
the acoustic coupler, incredible

889
00:57:43,240 --> 00:57:47,040
device honestly. 
But then if you, I guess if 

890
00:57:47,040 --> 00:57:55,760
you're my age, you started with 
56 K bit modem and you, you 

891
00:57:55,760 --> 00:57:58,920
would go to a website and and 
like there would be an image and

892
00:57:58,920 --> 00:58:02,600
it would, it would scroll like 
slowly it was loading pixel by 

893
00:58:02,600 --> 00:58:05,480
pixel on the screen. 
So that that's what it's like to

894
00:58:05,480 --> 00:58:08,800
be bandwidth limited. 
Now imagine using the current 

895
00:58:08,800 --> 00:58:12,160
Internet with that same modem. 
It it's like it's inconceivable.

896
00:58:12,160 --> 00:58:17,680
It would be impossible to do so.
What broadband Internet did to 

897
00:58:17,680 --> 00:58:21,680
the 56 KB modem is what this 
hardware is going to do to the 

898
00:58:21,680 --> 00:58:23,920
brain. 
We are trying to drastically 

899
00:58:23,920 --> 00:58:27,360
expand the amount of bandwidth 
that you have access to, to have

900
00:58:27,360 --> 00:58:30,280
a much richer experience and 
superhuman capabilities. 

901
00:58:37,820 --> 00:58:42,500
So I guess just to kind of close
out and to recap today Neurolink

902
00:58:42,500 --> 00:58:47,160
is working reliably and has 
already changed the lives of 

903
00:58:47,160 --> 00:58:49,520
seven participants and making a 
real impact. 

904
00:58:51,640 --> 00:58:55,040
And our next milestone is to go 
to market and enable scaling of 

905
00:58:55,040 --> 00:58:59,600
this technology to thousands of 
people and as well as expand 

906
00:58:59,600 --> 00:59:03,000
functionalities beyond just the 
movement to enable robotic, 

907
00:59:03,080 --> 00:59:07,640
sophisticated robotic arm 
control, speech, vision, give 

908
00:59:07,640 --> 00:59:10,680
sight back and even getting to 
the speed of thought. 

909
00:59:11,360 --> 00:59:15,960
I, I hope you got a good sort of
sample of our technology stack 

910
00:59:15,960 --> 00:59:19,800
and the challenges that we have 
and I'd like to hand over the 

911
00:59:19,800 --> 00:59:22,400
mic to Elon for any closing 
remarks. 

912
00:59:24,400 --> 00:59:30,040
Well, we're trying to give you a
sense of the the depth of talent

913
00:59:30,320 --> 00:59:32,240
at Neurolink. 
There's a lot of really smart 

914
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people working on a lot of 
important problems. 

915
00:59:36,160 --> 00:59:40,360
This is one of the most 
difficult things to to actually 

916
00:59:40,360 --> 00:59:43,400
succeed in creating and have it 
work and work at scale and be 

917
00:59:43,400 --> 00:59:46,880
reliable and available for 
millions of people at an 

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00:59:46,880 --> 00:59:53,280
affordable price. 
So super hard problem and would 

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00:59:53,280 --> 00:59:56,320
like to have you come join and 
help us solve it. 

920
00:59:56,320 --> 01:00:15,680
Thank you. 
Hey, thank you so much for 

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01:00:15,680 --> 01:00:17,880
listening today. 
I really do appreciate your 

922
01:00:17,880 --> 01:00:19,440
support. 
If you could take a second and 

923
01:00:19,440 --> 01:00:22,360
hit this subscribe or the follow
button on whatever podcast 

924
01:00:22,360 --> 01:00:25,400
platform that you're listening 
on right now, I greatly 

925
01:00:25,400 --> 01:00:27,040
appreciate it. 
It helps out the show 

926
01:00:27,040 --> 01:00:29,680
tremendously and you'll never 
miss an episode. 

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01:00:29,880 --> 01:00:33,240
And each episode is about 10 
minutes or less to get you 

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01:00:33,240 --> 01:00:36,000
caught up quickly. 
And please, if you want to 

929
01:00:36,000 --> 01:00:41,480
support the show even more, go 
to patreon.com/stagezero. 

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01:00:41,960 --> 01:00:44,160
And please take care of 
yourselves and each other, and 

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01:00:44,160 --> 01:00:45,080
I'll see you tomorrow.
