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Speaker 1: Sure.

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Speaker 2: Well, this is going to sound somewhat esoteric and maybe

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a bit strange, but I was actually trying to figure

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out how to mitigate the risk of digital superintelligence to

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the agree that that we can improve our bandwidth to

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our digital tertiary self. I think we can better align

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artificial intelligence with a collective human will.

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Speaker 1: That's going to sound very strange, but so.

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Speaker 2: You could think of like, basically our intelligence is being

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divided into roughly three areas. That's sort of like a

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like you know, Olympic system, like like like the sort

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of instinctual elements that this sort of like the cortex

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and the planning part. Then we also have a tertiary layer,

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which is only computers and bones applications software that we use,

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so that you have a digital tertiari self.

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Speaker 1: Basically we were already an android.

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Speaker 2: Defictively, I think people feel this when they forget their phone.

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Forgetting a phone, leaving a phone behind, it is like

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having missing limb syndrome. You're missing your part of your

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digital tertiaries. The constraint on human machine symbiosis is bandwidth.

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Speaker 1: What is the especially output bandwidth?

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Speaker 2: The output bandwidth of a human is less than one

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bit per second over the course of a day.

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Speaker 1: So if you have eighty six four hundred.

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Speaker 2: Seconds in a day, the number of output bits that

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you produce. Maybe there's some rare cases where it's above

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one bit per second, but very few people produce eighty six.

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Speaker 1: Thousand, four hundred output bits.

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Speaker 2: So most people like our averaging less than one bit

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per second over twenty four hour period. And when we

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do speak, they say the number of symbols per second

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of speech typing is quite low, especially if it's going

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through a phone. Then you just sort of have two

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slow moving meatsticks that are trying to type letters on

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a phone, so you really have just a few per

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second of characters, so that your phone is like a

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supercomputer in your hands and it is desperately trying to

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figure out what you want to say.

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Speaker 3: I'll tell you I've personally experienced that phantom limb syndrome

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when I actually can't find my phone. And I hadn't

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thought of myself as a cyborg until you challenge.

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Speaker 4: Me to think that way. But you're in a room

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of folks who've devoted their.

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Speaker 3: Lives to neurologic disease, and I must confess to you

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that I had never actually thought of the output of

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the brain in terms of bits per second. But when

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you frame it that way, it makes it really clear

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why there may be a broader opportunity to make that

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virtual cyborg that we have now with our phone a

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little bit more efficient. So that's as a starting point,

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what prompted your interest in neuralink.

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Speaker 1: Yeah, so basically I thought.

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Speaker 2: Okay, in order to have better human AI semiosis, we

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must solve the bandwidth problem. Below a certain bandwidth, we

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are basically just stationary to a computer and at one

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bit per second. Know, that's the very low data rate

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when computers are doing brillions of bits per second.

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Speaker 3: So when you think about brain machine interface, why did

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you select the technical approach you did?

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Speaker 4: I know a lot of thoughts gone into that.

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Speaker 1: Yeah.

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Speaker 2: So if you say, like, okay, we need to have

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ultimately a million bits per second or a billion bits

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per second to gig a bit per second interface, then

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that means you really you can't.

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Speaker 1: You need an implant and.

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Speaker 2: Ultimately will need to replace the skull and it's going

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to be a zillion wire. I mean, this is some

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sci fi, bizarre sci fi stuff, and I'm not this

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is certainly optional.

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Speaker 3: Plan mandatory replacement of my skull whatever problem.

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Speaker 1: Mandatory chip and brain is not what we're saying, Yeah,

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for sure.

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Speaker 2: But at some point you're you say like, okay, how

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many electrodes are needed in order to interface with have

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a whole brain interface?

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Speaker 3: Yeah, you know, I've heard you mentioned that larger goal

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of whole brain interface. One thing that's really me by

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the approach that's been taken is, I think as a resurgence,

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we often contemplate the natural history of the disease and

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competing risk and benefit in neuralink as a company has

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started with folks who have als and spinal cord injury.

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These kind of first steps in terms of technical approach.

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So we'd love to hear a little bit more about that.

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Speaker 4: Yeah.

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Speaker 2: Absolutely, long tem goal, like I said, is mitigating civilizational

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risk associated with a divergence of biological and digital intelligence.

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That's the long tim goal. Obviously. Then you've got to

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parse that, h L, Well, what are we going to

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do tomorrow? Yeah, So the starting point with the first

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new link device is a thousand electrodes, and with just

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one hundred of those electrodes are active, if it takes

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up our first few patients, you know, we're also having

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world records. Admitically, these are world records that are pretty low,

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but we're getting around.

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Speaker 1: Ten ves per second, and that does a path to

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one thousand us per.

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Speaker 2: Second, which would be literally one hundred times more than

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the next record. So we want to do the implants

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in where there's the highest gain and the least risk.

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So we call the first implant to telepathy, which really

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just interfacing with the motor cortex, and it's basically looking

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at signals as though somebody moved their own and just

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reading that signal and then sending that signal to the

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patient's phone or computer so they can then move the

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cursor around just by thinking. If you will have seen

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the videos of Noland, that's pretty impressive what he can do.

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In fact, shortly after getting the implant, he spent all

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night playing video games just by thinking.

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Speaker 3: Yeah, and those are the records you're talking about in

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those first two prime patients, where you're able to extract

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signals from their brain at record bits per second and

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enable them to work in the world.

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Speaker 4: Is those of us who lose their phone would use today.

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Speaker 1: Yeah.

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Speaker 2: Absolutely, And I think we'll get to the point pretty

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quickly where someone with a neuralink implant will outperform somebody

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who's using their hands play a video game.

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Speaker 4: What do you think the timeline for that is? We

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won't hold you to it.

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Speaker 2: Sure, I mean I do have a habit of being

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optimistic with respect to timelines. But if I wasn't optimistic,

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I wouldn't be starting these companies.

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Speaker 4: Probably, Yeah, that's fair.

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Speaker 1: But I think given that we're already.

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Speaker 2: Pretty much out a point where we're pretty close to

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on par with the video game. Basically you can play

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a video game at a comparable competent level to someone

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with hands. I think with our second generation device, which

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we'll have three thousand electrodes, and we'll get a lot

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better at placing those electrodes so only it's only one

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hundred electrodes being effective, we'll both improve the yield and

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will increase the number of electrodes. So we'll go from

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say one hundred electrodes that are reading to I don't know,

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out of three thousand electrodes, maybe fifteen and a half,

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So like fifteen hundred are reading. So at that point

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the data rate is far in excess of what someone

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video game with their hands could do, and we can

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reduce the latency the moment you think of a move,

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it happens instantly on the computer, as opposed to for

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you know, currently, if you're a human play a video game,

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you have to move your hand so that that's like

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you've got to send signals to the muscles.

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Speaker 1: The muscles have to move.

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Speaker 2: Your finger takes a certain amount of time to move,

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so you've got to be you basically got to move

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the meat puppet. If you don't have to move actuate

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the muscles in your hand or your finger's going to

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move at a certain rate and set like milimeters per second.

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But if you don't have to do any of that,

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you can literally think it immediately with no latency.

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Speaker 1: You'll outperform someone who has to use a hands.

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Speaker 3: Yeah, you know, I think as surgeons we really take

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pride in being efficient and using your hand. But when

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you're a reductionist like that, it actually makes me feel

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like I'm actually not particularly efficient. You could just if

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you just think and do it, I think I'd probably

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get a lot I'll get a little lot more done.

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Speaker 1: You know.

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Speaker 3: One of the things that struck me in terms of

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the technical approach is obviously you have the implant and

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then you're extracting those signals and have a recording algorithm,

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and then you're actually affecting an action and you know,

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in one of the patients you actually had a lead

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or traction. But then we're able to tune the recording

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algorithm to actually recover that function.

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Speaker 4: Could you maybe say a little bit about.

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Speaker 3: That kind of vertically integrated approach and how that's going

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to let you scale a little bit?

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Speaker 2: Sure? Well, since you know, really none of this stuff

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existed before, we had to design and build everything from scratch,

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and I mean it's basically like having an apple watcher

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a fit, but that replaces a piece of skull. And

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then you've got these electrodes, very very fine electrodes that

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are implanted with a surgical robot.

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Speaker 3: I mean, we can share a little bit about the robot,

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the R one robot.

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Speaker 4: That two is to implant the threads.

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Speaker 2: Yeah, so the threads are really too small to be

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manipulated by hand, and they need to be placed with

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extreme precision, very quickly. The brain is moving all the

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time due to breathing and heartbeat or just not just

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sitting there. It's like a pulsing thing, and you're trying

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to get an electrode to a specific depth, while this,

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you know, jello balloon is just moving around all over

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the place. So it's it's it's kind of an impossible,

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really an impossible thing to do by hand. These these

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spades are just too tiny and the level of precision

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required is beyond what people can do. I maybe liken

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it to be being similar to computer controlled machining or

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three D metal printing with we've better a lays of

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welding tiny bits of metal dust. It's just there's just

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no way that humans just do not have the level

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of precision necessary to implant the electrodes, you know, to

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fractions of a millimeter of x y z position.

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Speaker 3: Well, you know what's interesting obviously is a group of surgeons,

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many of us to varying stages, have incorporated robotics into

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our practice. When you hear a precision exceeding human capacity,

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do you think is this going to be a disruption

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or is this an augmentation to what surgeons do? And

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I know you have some thoughts around that, and there's

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maybe some analogies and ophthalmology, so it would love to

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hear that perspective.

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Speaker 2: Yeah, So I think the ophalmology analogy is the right

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one with laseric and ophthalmologists will oversee perhaps half a

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dozen or a dozen laser machines and to make sure

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the machine is is the patient getting the right operation

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in the correct eye, and is the is the machine

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operating properly. But thereafter the you know, patils in the

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laser chair and the robots going to basically laser rival.

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And now this is much better than someone getting a

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hand laser and laid hand lasering arrival, which would have

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varying results. I think it will be something similar to LASIC,

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where you perhaps a neurosurgeon overseeing half a dozen or

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a dozen of the neuralink robots that are doing the

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implants and just obviously making sure it's the right implant

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and the right location for the right purpose, and that

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everything's okay with the patient. So it would be like

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a massive amplification, I think, and it's kind of necessary

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that it'd be a massive appiplication because there's simply not

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enough neurosarchence to do this whole by hand.

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Speaker 1: It's like physically impossible.

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Speaker 2: Yeah, because we're talking about ultimately doing tens of millions

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of these things, like maybe this eight billion people in

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the world.

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Speaker 1: I don't know, maybe at.

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Speaker 2: Least a few billion are going to want this, maybe

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more so, then how do you get billions of devices

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unless you got the robots.

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Speaker 1: It's not happening.

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Speaker 3: I've heard you frame the introduction of the robot is

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not just a precision issue, but an interest of workforce

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and scale. And there's obviously a little over three thousand

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of us nationally, so that would be a little bit challenging.

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Can you share a little bit in this early journey

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with BCI what some of the challenges have been, what

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you've encountered technically, I know, a biological environment, the saltwater

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problem is very hostile.

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Speaker 4: Things with energy treaties.

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Speaker 3: Would love to hear your thoughts on that and how

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your team's taking those things on.

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Speaker 2: Yeah, I mean, yeah, as everyone obviously talking to people

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that know a lot more about the brain and that

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than I do, but I accidentally come to understand more

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than most people. The challenge is You've got a device

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that's going to live there for years. It's an electrical

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device that has to transmit radio essentially, you know, it

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has to transmit photons to your computer.

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Speaker 1: It's subcutaneous, it's got to be charged.

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Speaker 2: It's got electrodes that are reading and writing, so it's

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not like it can't just be electrically isolated.

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Speaker 1: In fact, you're fighting two things. You want.

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Speaker 2: You really are desperately trying to read these neurons, but

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you also don't want to be corroded. So it's like

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the very difficult thing to have just the minimum amount

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of insulation necessary to not be corroded, but not be

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so insulated that you can't hear the neurons. So there's

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a very challenging materials problem with our latest electrodes that

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will be silicon carbide coded, but even the silicon cartibide is.

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Speaker 1: A very difficult material to work with.

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Speaker 2: It's awesome, but it's very difficult, and you've got to

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make sure the coding is extremely precise. It's be you know,

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canvy tooth thin or tooth thick anywhere. It's going to

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be very evenly you applied to the threads. So it's

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the cher number of iterations necessary to actually have this

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device be medically sealed and survived in the body and

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not fail in some way, and then have to be

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able to transmit to your phono computer at a high

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data rate without burning down the battery is very difficult.

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I'd say there's many many technical challenges in that. So

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I mean I do have slightly criviolized by saying it's

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sort of like a fitbit or an Apple Watch in

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your brain. But if you actually put those things in

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your brain, neither your brain nor the Apple watch or

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fitbot would be happy.

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Speaker 3: So this feels like the right place to ask. I

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think one of the more interesting questions we received. So

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as someone who's in a position of authority to comment

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on both, can you settle the age old question, what's

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actually more difficult brain surgery or rocket science?

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Speaker 2: Well, both of my challenging. It's bizarre that I'm in

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bold in both. I mean, I think there are similar

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magnitude of difficulty.

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Speaker 4: Especially story the story checks out.

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Speaker 2: Yes, I think nobody's out there thinking, you know, what's

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easy brain surgery and rockets.

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Speaker 4: Okay, perfect, Thanks, thanks for backing us up. We appreciate it.

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Speaker 2: Yeah, and unmercent, Now that's a legit. Rain surgery is

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super hard, and rockets it's super hard. And there's a

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reason that there are idiomatic expressions. This is no accident,

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especially as you try to scale the electrodes number of electrodes,

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and I don't we don't know how to say.

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Speaker 1: Like ultimately get to say, how do we do a

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million electrodes?

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Speaker 2: This is we don't know how to do that yet

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except that hopefully it is physically possible. If you want

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to have a hind Man with a whole brain interface,

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then I think probably the right automagtude is something like

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a million electrode and that that still has a very

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high ratio of neurons to electrodes, So that means you've

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got to read you try to add like any given

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electrode has to be able to read neurons from you

303
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know several like I don't know one hundred or one

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thousand neurons. So if you can do if you've got

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a million electrodes and each electroid can read a thousand neurons,

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so you've got access to a billion neurons.

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Speaker 3: Well, the goal with a whole brain interface is this

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potential for long term augmentation or symbiosis. But you know,

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in the more immediate term, something that we think a

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lot about as surgeons is how is technology can allow

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us to treat problems that we aren't able to treat

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now and there's this whole family of diseases, psychiatric conditions,

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neurodevelopmental conditions, you know, folks who are neurodiverse and nerd

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degenerative conditions like Alzheimer's and so as we get a

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better picture of not just the structure of the brain,

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but you know, for lack of better term, the music

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of the brain.

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Speaker 4: Do you see those as intermediate steps? Would love to

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hear your perspective on it.

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Speaker 2: Yeah, I mean, I think we should be able to

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solve any problem over time that is a result of

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you know, like if you think of the brain like

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a computer effect, like a circuit board or something like that,

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you can say, like if you're given a circuit board

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and there were some short circuits or some circuits that

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should be there but aren't there. If there are any

327
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circuits that shouldn't be there, and and some that that

328
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are there but shouldn't, we can fix those. So basically,

329
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if if if it's it's like fixing a circuit board. Now, now,

330
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if the circuit board is all melted, it's going to

331
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be hard to fix a melted circuit board. You can

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fix the circ board with a few issues, but you

333
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can't fix it if it's been melted. But the vast

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majority of diseases or brain issues I think are fixable

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with your within your rolling device. It's it's a it's

336
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a fine grained means of reading and writing electrical signals

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in the brain at a road with high precision. And

338
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so that means like if there's an electrical storm, some

339
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kind of apilepasy or something, you can interrupt that storm

340
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if you can, if there are a set of signals

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to like in the case of blindness, that if somebody's

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lost their optic noble both eyes, you can still stimulate

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the visual cortex.

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Speaker 1: Basically anything that is a function of signals in er out.

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Speaker 2: If that is the nature of the problem, it can

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be fixed ultimately with a neuraling device.

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Speaker 4: Yeah, well I know you.

348
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Speaker 3: Neuralink just got FDA breakthrough designation for blindsight week and

349
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a half before this meeting. One thing that I heard

350
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you talk about that I thought was so interesting when

351
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I think about neurodiversity or NeuroD degenerative disease, is this

352
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idea of imagine, if someone of the intellective of Stephen

353
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Hawking was able to communicate more efficiently, how much more

354
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would society have benefited from those insights, and so when

355
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I think of people with neurodiverse conditions, I always think

356
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that they have this amazing potential to potentially be unlocked,

357
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and maybe this implant could be a digital bridge to that.

358
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Speaker 2: Absolutely, so I think it can help a lot of people,

359
00:17:53,839 --> 00:17:57,240
like really ultimately help tens millions of people, maybe one

360
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hundreds of millions of people. I should say, also this potential,

361
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we'll go beyond the brain to like if somebody's got

362
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a sort of spinal cord injury, that being able to

363
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transmit the signals, so.

364
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Speaker 1: You know, like the ideal. I think what most people

365
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that have blusted the.

366
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Speaker 2: Connection between their brain and their body would like is

367
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to reanimate their body. Sure you know there are there

368
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are there are some approximations of that where you can

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animate see a robot suit or a robot arm or

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something like that. But if I think most people will

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be asking them, like, what would you prefer, I'd like

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my body to work again if provided the neurons are

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still kind of there, It's it's simply physically possible to

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shunt the signals, frown the motor cortex past the point

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where the damage has occurred to the neurons that then

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interface with your muscles and your.

377
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Speaker 1: Arms and legs.

378
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Speaker 2: If you think of it just like an electrical and

379
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communication system, like if you severed some ethernet cables, what

380
00:18:48,279 --> 00:18:48,680
would you do?

381
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Speaker 1: Well, you bridge the signal?

382
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Speaker 2: Okay, great, that the same thing can be done with

383
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the human body is bridge the electrical signals and the

384
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communication signals. So you've got sensors and actuators and the

385
00:19:01,359 --> 00:19:04,839
signals the bi directional signals for sensors and actuators are

386
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being interrupted, and I said, if you shunt the signals,

387
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you will be able to renovate the body.

388
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Speaker 3: One other issue that comes up with implants that you

389
00:19:11,880 --> 00:19:15,440
were mentioning our iPhones when you're committing someone to an implant,

390
00:19:15,480 --> 00:19:19,440
obviously there's a whole issue around upgrades or the cycle

391
00:19:19,480 --> 00:19:22,079
time or iteration and technology. So you can maybe say

392
00:19:22,079 --> 00:19:25,119
a little bit about reversibility and how we should be

393
00:19:25,119 --> 00:19:27,759
thinking about these things as we enter an era where

394
00:19:27,880 --> 00:19:29,839
bci'll become more widespread.

395
00:19:31,079 --> 00:19:33,880
Speaker 2: Yeah, so we do think upgrades are pretty important, just

396
00:19:33,920 --> 00:19:35,839
as you would not once an iPhone one stuck in

397
00:19:35,880 --> 00:19:39,000
your head when there's an iPhone sixteen or whatever version

398
00:19:39,039 --> 00:19:40,559
iPhone and are on these days but I think it's

399
00:19:40,599 --> 00:19:41,720
like six it's pretty high.

400
00:19:41,960 --> 00:19:44,039
Speaker 3: I've lost track of what not for they're on I

401
00:19:44,079 --> 00:19:45,759
think you're I think you're up to date on the sixteen.

402
00:19:45,759 --> 00:19:48,119
Speaker 1: I think, okay, you know so so.

403
00:19:48,519 --> 00:19:50,480
Speaker 2: But I mean, now there's this, there's some sort of

404
00:19:50,519 --> 00:19:53,880
logarithmic you know, there's like as kind of goes by,

405
00:19:53,960 --> 00:19:57,400
the incremental gains from one, say iPhone to the next

406
00:19:57,400 --> 00:19:58,400
are are less.

407
00:19:58,480 --> 00:20:01,400
Speaker 1: It's kind of logarithmic gain, it would appear.

408
00:20:02,079 --> 00:20:06,000
Speaker 2: But that means that well, like I say, the first

409
00:20:06,119 --> 00:20:08,599
five or six versions, there are actually big jumps, and

410
00:20:08,640 --> 00:20:10,720
certainly that would be that is the case with your link.

411
00:20:10,839 --> 00:20:14,279
Speaker 1: So if somebody has say production design.

412
00:20:14,079 --> 00:20:16,599
Speaker 2: Version one, I think five years later they'll one to

413
00:20:16,599 --> 00:20:18,920
have production design version three or four. And so we

414
00:20:19,000 --> 00:20:21,880
designed the implant such that it can be removed but

415
00:20:22,000 --> 00:20:26,200
with hopefully minimal strip damage to the area, so that

416
00:20:26,240 --> 00:20:29,599
you can then then replace it with another one. And

417
00:20:29,640 --> 00:20:33,359
we have with in our animal studies, we've done I

418
00:20:33,359 --> 00:20:38,279
think three implants, and the third implant still worked quite well, meaning.

419
00:20:38,039 --> 00:20:40,279
Speaker 4: You've replaced the implant three times in the same.

420
00:20:40,200 --> 00:20:42,920
Speaker 2: Place three times. Yeah, and the third one was still

421
00:20:43,000 --> 00:20:44,440
working was working great.

422
00:20:45,359 --> 00:20:48,640
Speaker 3: So we've talked about the robot addressing the workforce problem.

423
00:20:48,720 --> 00:20:51,279
Speaker 4: We've talked about interchangeability.

424
00:20:51,400 --> 00:20:53,960
Speaker 3: You know, a lot of what your vision involves is

425
00:20:54,000 --> 00:20:56,839
being high performing but also affordable, so it would be

426
00:20:56,839 --> 00:21:00,440
accessible to people. How do you see bridging that gap?

427
00:21:02,200 --> 00:21:07,000
Speaker 2: Yeah, So the device itself in volume should should not

428
00:21:07,079 --> 00:21:09,839
be super expensive. I mean hopefully it's like, I don't know,

429
00:21:09,880 --> 00:21:14,240
five to ten thousand dollars and very high volume. It

430
00:21:14,240 --> 00:21:16,839
should sought to approximate the cost of an Apple watch

431
00:21:16,920 --> 00:21:20,319
or a phone, so maybe it's a thousand or two

432
00:21:20,319 --> 00:21:24,160
thousand dollars something like that. And then the if it's

433
00:21:24,200 --> 00:21:27,160
implanted with a robot, then that that surgical procedure should

434
00:21:27,240 --> 00:21:30,119
be fast. Like we do have a game plan for

435
00:21:30,160 --> 00:21:32,599
what I call this six hundred second surgery. So ten

436
00:21:32,680 --> 00:21:34,599
minutes you sit in the chair, in ten minutes the

437
00:21:34,640 --> 00:21:38,559
data you have an implant, and we're not violating physics.

438
00:21:38,599 --> 00:21:41,200
So it I mean just just has with laser. You know,

439
00:21:41,359 --> 00:21:43,160
it goes in a laser to a whole munch of

440
00:21:43,160 --> 00:21:46,680
things to rival. Now you'd have to automate basically everything here.

441
00:21:47,160 --> 00:21:50,359
But if you break it down second by second, date

442
00:21:50,480 --> 00:21:53,880
is possible to have a six hundred second or ten

443
00:21:53,920 --> 00:21:56,759
minute surgery. And so at that point, if it's being

444
00:21:56,759 --> 00:21:59,240
done by a robot and it's the whole thing takes

445
00:21:59,240 --> 00:22:03,000
ten minutes, I think it probably that the whole thing,

446
00:22:03,759 --> 00:22:06,440
all inclusive, ends up being you know, on the order

447
00:22:06,440 --> 00:22:08,680
of five thousand dollars maybe similar to Lasic.

448
00:22:09,559 --> 00:22:14,119
Speaker 3: You invoked physics, And one interesting insight that I gained

449
00:22:14,160 --> 00:22:16,839
in our time together is this idea that there's often

450
00:22:17,200 --> 00:22:18,279
a debate about the.

451
00:22:18,240 --> 00:22:20,200
Speaker 4: Possible and what's possible and what's not.

452
00:22:20,880 --> 00:22:25,039
Speaker 3: And I know you have the perspective that that shouldn't

453
00:22:25,079 --> 00:22:30,599
really be subject to debate, because if something's impossible, it's

454
00:22:30,640 --> 00:22:32,880
because it's a function of physics, and if not, then

455
00:22:32,880 --> 00:22:34,240
it is and you just have.

456
00:22:34,200 --> 00:22:34,799
Speaker 1: To figure it out.

457
00:22:36,119 --> 00:22:38,680
Speaker 2: If something like if you're breaking conservation of energy or

458
00:22:38,680 --> 00:22:42,039
momentum or charge or something like that, then you either

459
00:22:42,200 --> 00:22:44,559
have a Nobel prize or you're wrong, and most likely

460
00:22:44,640 --> 00:22:47,680
you're wrong. But provided you're not sort of trying to

461
00:22:47,680 --> 00:22:50,400
break the sound barrier or something like that, like you're

462
00:22:50,400 --> 00:22:51,079
not moving.

463
00:22:50,799 --> 00:22:53,480
Speaker 1: That fast that then you should come visit. Okay, that's

464
00:22:53,519 --> 00:22:56,440
probably going to be bad for the brain. If it's

465
00:22:56,519 --> 00:22:57,240
going super.

466
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Speaker 4: Sadic, that actually is starting to make a lot of sense.

467
00:22:59,359 --> 00:23:02,559
Speaker 2: Yeah. Yeah, but provided you're still subsonic and you're not

468
00:23:02,599 --> 00:23:06,279
just doing things so fast that it causes physical disturbances.

469
00:23:06,319 --> 00:23:09,279
That then you can get things don very quickly. Basically

470
00:23:09,400 --> 00:23:10,880
if you look at the things at a bind grain

471
00:23:10,960 --> 00:23:14,000
level and say, well, what is the size of the

472
00:23:14,559 --> 00:23:17,559
voltage difference that you're trying to detect in a neuron

473
00:23:17,599 --> 00:23:20,119
and how so that for like, how far away from.

474
00:23:20,000 --> 00:23:23,480
Speaker 1: An electrode could you detect a pulse? You know? And

475
00:23:23,759 --> 00:23:24,119
can you.

476
00:23:24,079 --> 00:23:28,240
Speaker 2: Distinguish one neuron from another neuron based on its signature,

477
00:23:28,319 --> 00:23:31,920
So like if one neuron has almost like an accent

478
00:23:32,039 --> 00:23:35,440
or a voice, if your sensors are precise enough, you

479
00:23:35,440 --> 00:23:37,799
can say, okay, that sort of faint voice we hear

480
00:23:38,160 --> 00:23:42,799
that faint signal is this neuron, This loud signal is

481
00:23:42,839 --> 00:23:43,680
a nearby neuron.

482
00:23:43,759 --> 00:23:46,240
Speaker 1: And you can actually figure out especially where these neurons

483
00:23:46,240 --> 00:23:51,799
are based on on slight differences and how they they fire.

484
00:23:52,799 --> 00:23:54,359
Speaker 3: And that's and that's how you're going to map the

485
00:23:54,359 --> 00:23:56,839
function of the brain and get a step closer to

486
00:23:56,839 --> 00:23:57,920
that whole brain interface.

487
00:23:58,960 --> 00:24:02,799
Speaker 2: Yeah, I mean, we definitely are venturing into deep sci

488
00:24:02,799 --> 00:24:05,359
fi here. If people are interested in some sci fi

489
00:24:05,400 --> 00:24:09,079
book recommendations I would recommend in banks, the culture books

490
00:24:10,200 --> 00:24:13,079
and in banks actually just have this concept of a

491
00:24:13,079 --> 00:24:16,759
neural lace where there's all the humans have a neural

492
00:24:16,799 --> 00:24:19,559
link or neural lays throughout their brain, and when somebody dies,

493
00:24:19,720 --> 00:24:21,720
their memories are being dynamically uploaded to.

494
00:24:22,680 --> 00:24:24,400
Speaker 1: The cloud or whatever the internet is.

495
00:24:24,400 --> 00:24:27,519
Speaker 2: In the future, they can reinstantiate into human body if

496
00:24:27,519 --> 00:24:28,039
they want.

497
00:24:28,640 --> 00:24:31,000
Speaker 1: Well, they can live in simulation, which we might be

498
00:24:31,000 --> 00:24:31,480
in right now.

499
00:24:31,559 --> 00:24:33,680
Speaker 2: If so, I'd just like to applaud the simulators on

500
00:24:33,720 --> 00:24:34,759
the excellent work they are doing.

501
00:24:34,920 --> 00:24:37,839
Speaker 3: This feels very immersive and high fidelity. So thank you

502
00:24:37,920 --> 00:24:38,759
to simulator.

503
00:24:39,480 --> 00:24:41,119
Speaker 1: Thank you simulators. Please don't turn us off.

504
00:24:41,240 --> 00:24:46,880
Speaker 3: Yeah, well, well listen, Elana, this has been a terrific conversation.

505
00:24:47,039 --> 00:24:51,000
You have all of neurosurgery in the room here, and

506
00:24:51,079 --> 00:24:53,519
so what are maybe some last thoughts you'd like to

507
00:24:53,599 --> 00:24:54,160
leave us with.

508
00:24:56,039 --> 00:24:59,279
Speaker 2: Well, I think this is going to be something that

509
00:24:59,319 --> 00:25:04,400
is an incredible powerful tool for neurosurgeons for helping fix

510
00:25:04,480 --> 00:25:07,359
things that are rare related issues. It's sort of like,

511
00:25:08,279 --> 00:25:11,839
you know, it might be like the difference between if

512
00:25:12,079 --> 00:25:15,400
it was a weapon situation, difference between like bows and

513
00:25:15,480 --> 00:25:19,680
arrows and jet airplanes, Like, it's a big difference, you know,

514
00:25:19,920 --> 00:25:21,000
so we want to give you.

515
00:25:21,359 --> 00:25:24,599
Speaker 4: I hope I have the airplane in that Yeah, in.

516
00:25:24,519 --> 00:25:25,839
Speaker 1: A positive constructive way.

517
00:25:26,119 --> 00:25:28,640
Speaker 2: I mean, one can only do as well as the

518
00:25:28,680 --> 00:25:30,480
tools that want to get you know what.

519
00:25:30,599 --> 00:25:31,960
Speaker 1: It's like, what tools do you have?

520
00:25:32,680 --> 00:25:36,799
Speaker 2: And I think with my essentially giving neurosurgeons a much

521
00:25:36,839 --> 00:25:40,599
more sophisticated, powerful tool like the neuralink device, you could

522
00:25:40,640 --> 00:25:44,640
really help a lot of people terrific.

523
00:25:44,680 --> 00:25:47,319
Speaker 3: And I know that's why we're all here to better

524
00:25:47,400 --> 00:25:50,440
characterize in our logic disease and to help people. So

525
00:25:50,799 --> 00:25:55,000
really value your perspective. Thank you for being are a

526
00:25:55,039 --> 00:25:57,440
puzzle lecturer for creativity innovation

