WEBVTT - Will 2026 Be The ‘ChatGPT Moment’ For The Brain-Computer Interface - The Story

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<v Speaker 1>Welcome to Tech Stuff. I'm Oswald Loshin. Back in 2024,

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<v Speaker 1>a 71-year-old Parkinson's patient named Jeffrey Kiefer underwent brain surgery.

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<v Speaker 1>While his skull was open, surgeons temporarily placed an experimental

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<v Speaker 1>brain-computer interface directly onto his brain to record neural activity,

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<v Speaker 1>a key step towards technology that could one day allow

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<v Speaker 1>paralyzed individuals to control computers using only their thoughts. The

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<v Speaker 1>following year, Precision Neuroscience, the startup behind that device, reached

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<v Speaker 1>a big milestone, FDA clearance for 30-day human trials. As

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<v Speaker 1>of this year, testing has expanded to nearly 100 participants

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<v Speaker 1>across 18 major U.S. academic medical centers. Joining me today

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<v Speaker 1>to discuss how this technology works and where it's heading

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<v Speaker 1>is Michael Maker, CEO of Precision Neuroscience. Michael, welcome to

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<v Speaker 1>Tech Stuff.

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<v Speaker 2>Thanks so much for having me.

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<v Speaker 1>What are you building?

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<v Speaker 2>We're building, as you mentioned, a brain-computer interface. That is

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<v Speaker 2>a system that I think is best thought of as

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<v Speaker 2>a communication tool. It creates a communication link between the

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<v Speaker 2>brain and computers. The first use of that link is

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<v Speaker 2>to enable people to control computers with their thoughts, people

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<v Speaker 2>who have lost ability to move their arms and hands

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<v Speaker 2>as a result of, you know, paralysis due to spinal

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<v Speaker 2>cord injury and certain diseases. But we think the applications

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<v Speaker 2>of this communication link effectively between human and artificial intelligence

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<v Speaker 2>go way beyond paralysis.

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<v Speaker 1>So they said everyone might have one?

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<v Speaker 2>I think the future is hard to predict. We see

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<v Speaker 2>a path to having major impact clinically and potentially eventually

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<v Speaker 2>beyond that. But we're really focused today on making a

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<v Speaker 2>meaningful positive difference medically and clinically.

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<v Speaker 1>Talk about that journey from working with Jeffrey Kiefer to

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<v Speaker 1>the FDA clearance to the 100 participants? What does that

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<v Speaker 1>mean that you get to work with 100 people now?

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<v Speaker 2>Taking a step back, I think that it's important to

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<v Speaker 2>understand medical technology requires people like Jeffrey Kiefer, who are

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<v Speaker 2>really selfless in offering themselves to the advancement of medical technology.

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<v Speaker 2>The reason that he was able to get an implant

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<v Speaker 2>of this kind is that our system is is designed

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<v Speaker 2>to be totally safe, it is reversible, and it is non-damaging.

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<v Speaker 2>And because of that, we were able to get into

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<v Speaker 2>the clinic and start implanting patients within two years, which

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<v Speaker 2>is a very, very expedited path. And our first FDA clearance,

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<v Speaker 2>as you mentioned, within about 40 years of founding. That

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<v Speaker 2>is really a function of the fact that our system

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<v Speaker 2>is able to be explanted safely without having done damage

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<v Speaker 2>to the brain.

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<v Speaker 1>Explanting means you can take it out.

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<v Speaker 2>That means you can take it out. Yeah. And I

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<v Speaker 2>think that that's an incredibly important feature. Really, when it

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<v Speaker 2>comes to patient adoption, you know, people want a system

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<v Speaker 2>that they know if they, for whatever reason, don't want

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<v Speaker 2>can be removed safely. And also for upgrades, you know,

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<v Speaker 2>this is a technology that is in the early stages

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<v Speaker 2>of its development. I think people rightfully want a system

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<v Speaker 2>that's going to be able to be upgraded over time

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<v Speaker 2>as functionality improves.

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<v Speaker 1>And who founded the company? What was their vision?

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<v Speaker 2>So I co-founded the company with Ben Rappaport. Ben is

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<v Speaker 2>really ideally suited to pioneer this industry. He is a neurosurgeon.

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<v Speaker 2>He also has a PhD from MIT in electrical engineering.

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<v Speaker 2>That is not by accident, you know, getting both a

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<v Speaker 2>medical degree and a PhD in electrical engineering. The brain

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<v Speaker 2>is an electrical system. So every thought you've ever had,

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<v Speaker 2>every idea, every memory, every intention, there is a physical

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<v Speaker 2>representation of of those thoughts.

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<v Speaker 1>By the way, it's a remarkable coincidence that both computers

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<v Speaker 1>and the brain work on electricity. When did people start

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<v Speaker 1>to understand what that could mean?

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<v Speaker 2>A hundred years ago, I think, is when we started

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<v Speaker 2>to understand the electrical nature of the brain. I think

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<v Speaker 2>that for a long time, these two fields have been

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<v Speaker 2>quite disparate. I think we're actually entering a period, and

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<v Speaker 2>I'm sure we're going to talk about this, where there

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<v Speaker 2>is really a convergence of neuroscience and artificial intelligence that

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<v Speaker 2>has the potential to be impactful really on both sides

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<v Speaker 2>of the coin.

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<v Speaker 1>But your co-founder, in a sense, this is a substantiation

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<v Speaker 1>or a harvest of decades of academic research and vision.

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<v Speaker 2>That's exactly right. I mean, he really was there at

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<v Speaker 2>the birth of this industry, which initially happened like so

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<v Speaker 2>much in terms of sort of breakthrough advances in academia initially.

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<v Speaker 2>where the first proofs of concept that you could record

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<v Speaker 2>and decode electrical activity in order to drive a function

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<v Speaker 2>on a computer actually happened in 2004, so over 20

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<v Speaker 2>years ago. And the industry has been developing really in

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<v Speaker 2>academic settings with prototype devices. Ben wanted to be involved

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<v Speaker 2>in that from the very beginning. He studied electrical engineering

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<v Speaker 2>and became a neurosurgeon because that's the perfect combination of

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<v Speaker 2>skills to pioneer this industry. He was also one of

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<v Speaker 2>the co-founders of Neuralink with Elon Musk. And after a

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<v Speaker 2>few years at Neuralink, he left because of the direction

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<v Speaker 2>that they went in. And he and I co-founded Precision

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<v Speaker 2>in 2021. So what was the direction they went in

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<v Speaker 2>that he objected to? So the initial work in the space, again,

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<v Speaker 2>going back to sort of the academic proofs of concept,

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<v Speaker 2>involved electrodes to record and stimulate the brain that penetrate

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<v Speaker 2>into the brain.

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<v Speaker 1>Right.

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<v Speaker 2>And when you penetrate into the brain... a few things happen.

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<v Speaker 2>First of all, you kill neurons. So there is damage

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<v Speaker 2>that is irreversible. There's also a response from the brain.

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<v Speaker 2>The body doesn't like it when you put a foreign

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<v Speaker 2>object into it. And so there's something that's called gliosis,

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<v Speaker 2>which is effectively sort of scarring around the foreign body.

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<v Speaker 2>Over time, if you think about creating an interface between

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<v Speaker 2>the brain and technology and compute, you really want a

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<v Speaker 2>system that's going to be able to scale. that's going

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<v Speaker 2>to be able to start in a small discrete area

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<v Speaker 2>of the brain, but over time expand because different areas

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<v Speaker 2>of the brain are responsible for different functions. And so

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<v Speaker 2>to unlock greater and greater performance, you need a system

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<v Speaker 2>that's going to be able to expand to multiple regions

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<v Speaker 2>of the brain at once. If you have to poke

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<v Speaker 2>holes in the brain to do that, that just, there's a,

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<v Speaker 2>there's a ceiling to the scalability of such a system.

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<v Speaker 2>There's also a patient adoption and surgeon adoption issue. You know,

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<v Speaker 2>When you're talking about any surgical intervention, there is a

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<v Speaker 2>necessary weighing of risk and benefit. And you want that

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<v Speaker 2>trade-off to be as favorable as possible.

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<v Speaker 1>When you're talking about this idea of reaching all the

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<v Speaker 1>regions of the brain, what came into my brain was

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<v Speaker 1>the image of a metal helmet underneath my skull. Is

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<v Speaker 1>that a crazy image?

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<v Speaker 2>Metal helmet is not how we would describe it. So

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<v Speaker 2>what we've developed is an ultra-thin film. Think about it

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<v Speaker 2>like a piece of saran wrap. in your language, maybe sellotape?

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<v Speaker 1>Yeah, I know, cling film.

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<v Speaker 2>Cling film. Cling film.

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<v Speaker 1>Sellotape is something, yeah.

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<v Speaker 2>That basically covers the brain in a super, super gentle,

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<v Speaker 2>thin film with thousands and eventually hundreds of thousands of

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<v Speaker 2>electrodes on it. It does so in a way that

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<v Speaker 2>is fundamentally sort of non-damaging.

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<v Speaker 1>What are the sort of planes of competition, let's say?

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<v Speaker 1>Because obviously Neuralink you know, because of Elon, probably because

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<v Speaker 1>of first mover is the most famous player in the space.

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<v Speaker 1>There's you, there's maybe two other kind of household names

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<v Speaker 1>of people who know the industry, right? Like, are you

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<v Speaker 1>all chasing exactly the same holy grail or are there

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<v Speaker 1>different planes of competition, so to speak?

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<v Speaker 2>I think there are absolutely different planes of competition that

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<v Speaker 2>will emerge over time. So for the time being, you're right.

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<v Speaker 2>Everybody is focused on this initial question really around the

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<v Speaker 2>hardware of how do you get electrodes into or onto

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<v Speaker 2>the brain in a way that's safe and scalable. And

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<v Speaker 2>our system, unlike Neuralink's, which is penetrating into the brain

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<v Speaker 2>because they've built on that academic work that sort of

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<v Speaker 2>founded the industry, ours creates a non-damaging thin film. Others

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<v Speaker 2>go through the vasculature. Some folks are trying to use ultrasound.

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<v Speaker 2>I think that there will emerge clear areas where certain

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<v Speaker 2>approaches are better than others, and companies will necessarily focus

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<v Speaker 2>where their systems are sort of optimized. That said, We've

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<v Speaker 2>picked the approach that we've picked because we think it

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<v Speaker 2>is really the only one that achieves ultra high performance

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<v Speaker 2>for all of the functions of BCI that exist today,

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<v Speaker 2>but without some of the drawbacks around penetration and damage

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<v Speaker 2>that some of the competing products entail.

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<v Speaker 1>So you mentioned saran wrap. What does this thing physically

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<v Speaker 1>look like? How big is it? And how do you

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<v Speaker 1>get it into somebody's head?

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<v Speaker 2>We manufacture the system that is about 20 microns thick.

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<v Speaker 2>So that is about a fifth the width of a

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<v Speaker 2>human hair. So super thin. And it's about one and

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<v Speaker 2>a half square centimeters in terms of surface area. So

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<v Speaker 2>think about it like a postage size stamp. We deposit

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<v Speaker 2>1,024 tiny platinum electrodes on that. These electrodes are 50

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<v Speaker 2>microns in diameter. That's the size of a neuron. So

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<v Speaker 2>we're really speaking to the brain at its own natural scale.

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<v Speaker 2>The only way to manufacture at that scale is to

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<v Speaker 2>do so using manufacturing techniques borrowed from semiconductor manufacturing. So

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<v Speaker 2>we use photolithography to make these devices. We're the first

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<v Speaker 2>company with an FDA-cleared device that is photolithographic.

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<v Speaker 1>Is ASML the same providers as the chip industry? We're not.

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<v Speaker 2>So those guys are at the nanoscale. We're at the

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<v Speaker 2>micron scale. But the concept is the same, where basically

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<v Speaker 2>to create... a breakthrough, in this case in medical technology,

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<v Speaker 2>you really have to think about it in a different

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<v Speaker 2>way and take techniques that have been pioneered elsewhere. In

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<v Speaker 2>our case, that's required actually buying and retrofitting a fab,

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<v Speaker 2>which we own in Texas. We have 20 people on

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<v Speaker 2>the ground who do.

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<v Speaker 1>Which used to be used to build chips is now

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<v Speaker 1>being used to build your.

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<v Speaker 2>That's right. And we have a level five clean room.

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<v Speaker 2>All of this is necessary. It's capital intensive. It's resource intensive.

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<v Speaker 2>But there is no supply chain that exists to do

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<v Speaker 2>this kind of work because it's so pioneering.

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<v Speaker 1>How do you put it inside somebody's head? And is

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<v Speaker 1>the vision to make them much bigger ultimately? Yeah. And

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<v Speaker 1>how do you know where to put it?

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<v Speaker 2>First of all, I don't put them in anybody's brain.

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<v Speaker 2>I will assure you. But we're now working at 18

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<v Speaker 2>of the best hospitals in the United States, which by

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<v Speaker 2>the way, is multiples of the number of any other company.

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<v Speaker 2>Part of that is enabled by our FDA clearance, which

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<v Speaker 2>also is a first. And we're working with neurosurgeons at

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<v Speaker 2>these institutions who are absolutely best in class. They are

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<v Speaker 2>using the system in different ways. And part of the

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<v Speaker 2>benefit of a system that does not penetrate into the

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<v Speaker 2>brain and does not damage the brain is that you

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<v Speaker 2>can explore. You can put it. in the area that

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<v Speaker 2>controls the motor part of the brain. So the part

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<v Speaker 2>of the brain that controls the arms and the fingers

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<v Speaker 2>and the hands and use that to control a computer

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<v Speaker 2>cursor just with thoughts, which we've done. But you can

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<v Speaker 2>also put it in areas of the brain that are

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<v Speaker 2>much less well characterized. We have gone to somatosensory cortex

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<v Speaker 2>and prefrontal cortex. We've gone to the brainstem. We've actually

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<v Speaker 2>even gone to the spinal cord. That is the only

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<v Speaker 2>way that you can explore in that manner and you

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<v Speaker 2>can enable academics and clinicians to explore in that manner

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<v Speaker 2>is if your system is fundamentally non-damaging and reversible. So

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<v Speaker 2>we think this is a huge advantage for precision, but

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<v Speaker 2>also for the field, because I think it's going to

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<v Speaker 2>unlock understanding that previously has just not been possible.

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<v Speaker 1>What are you finding today by going to those places?

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<v Speaker 2>I think we're at the beginning of this journey. I

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<v Speaker 2>think a lot of our efforts up until now have

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<v Speaker 2>been focused on that motor part of the brain. So

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<v Speaker 2>you asked the earlier question, is everyone focused on the

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<v Speaker 2>same thing? And today, the answer is largely yes, where

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<v Speaker 2>we're really focused all on paralysis, enabling people whose brain-body

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<v Speaker 2>connection has been disrupted by a disease or an injury.

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<v Speaker 2>So think about someone who's in their 20s, they're in

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<v Speaker 2>a catastrophic car accident, their brains function as well as

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<v Speaker 2>yours or mine probably better, but they have lost the

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<v Speaker 2>ability to control their arms and hands. And so they

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<v Speaker 2>can't use technology in the way that we all take

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<v Speaker 2>for granted. So you can't use a phone, you can't

0:12:39.070 --> 0:12:41.990
<v Speaker 2>use a tablet, you can't use a computer. Our goal

0:12:42.070 --> 0:12:46.469
<v Speaker 2>is to give people in that situation control again over

0:12:46.530 --> 0:12:49.689
<v Speaker 2>a digital ecosystem to enable them to have higher quality

0:12:49.710 --> 0:12:51.609
<v Speaker 2>of life and eventually to go back to work if

0:12:51.650 --> 0:12:58.760
<v Speaker 2>they want. The FDA is effectively pushing us and others

0:12:59.179 --> 0:13:02.090
<v Speaker 2>to addressing that initial use case first, because we know

0:13:02.179 --> 0:13:06.410
<v Speaker 2>it works. The risk benefit is just very obviously favorable,

0:13:07.190 --> 0:13:09.530
<v Speaker 2>and it's a way to get this technology out into

0:13:09.550 --> 0:13:11.050
<v Speaker 2>the world in a way that's going to make a

0:13:11.070 --> 0:13:12.100
<v Speaker 2>real positive difference.

0:13:12.150 --> 0:13:15.199
<v Speaker 1>Pushing by providing grant funding or pushing by not delaying

0:13:15.220 --> 0:13:16.100
<v Speaker 1>things too much.

0:13:16.120 --> 0:13:19.840
<v Speaker 2>I'd say encouraging. I'd say the FDA has been extremely

0:13:19.880 --> 0:13:24.750
<v Speaker 2>constructive But it's clear that we all should start in

0:13:24.809 --> 0:13:28.910
<v Speaker 2>this place. That said, as this technology gets out in

0:13:28.929 --> 0:13:32.530
<v Speaker 2>the world and as it advances, as discussed earlier, I

0:13:32.570 --> 0:13:34.650
<v Speaker 2>think different companies are going to end up focusing in

0:13:34.690 --> 0:13:37.590
<v Speaker 2>different areas. We are focused initially on the motor part

0:13:37.610 --> 0:13:40.750
<v Speaker 2>of the brain because that is our first clinical application.

0:13:40.890 --> 0:13:45.979
<v Speaker 2>And so decoding intended movements to drive a digital keyboard

0:13:46.020 --> 0:13:50.250
<v Speaker 2>and digital mouse effectively is where we've started. But Now

0:13:50.350 --> 0:13:54.130
<v Speaker 2>that we have established that functionality, we have the opportunity

0:13:54.290 --> 0:13:56.579
<v Speaker 2>to look beyond it, and that's something that we're in

0:13:56.600 --> 0:13:57.510
<v Speaker 2>the early days of doing.

0:13:58.429 --> 0:14:01.520
<v Speaker 1>There was a New Yorker story, I guess probably in 2018,

0:14:01.520 --> 0:14:04.700
<v Speaker 1>about the scientist at Carnegie Mellon who was leading. You

0:14:04.720 --> 0:14:06.579
<v Speaker 1>know his name, I guess, but I can't remember it

0:14:06.620 --> 0:14:07.339
<v Speaker 1>off the top of my head.

0:14:07.540 --> 0:14:09.819
<v Speaker 2>There are a few fantastic ones there.

0:14:09.960 --> 0:14:12.040
<v Speaker 1>I met him, and it was a New Yorker story

0:14:12.080 --> 0:14:16.520
<v Speaker 1>about how two young people had become paralyzed, both had

0:14:16.540 --> 0:14:20.280
<v Speaker 1>the ability with this electronic array placed into their brain

0:14:20.300 --> 0:14:23.729
<v Speaker 1>to control artificial limbs and maybe it was University of

0:14:23.750 --> 0:14:26.670
<v Speaker 1>Pittsburgh actually but the piece had this kind of lyrical

0:14:26.710 --> 0:14:29.350
<v Speaker 1>but ultimately quite tragic quality which was that it stopped

0:14:29.390 --> 0:14:31.750
<v Speaker 1>working because whatever the word you use for the scar

0:14:31.770 --> 0:14:34.930
<v Speaker 1>tissue in the brain would essentially grow over the arrays

0:14:35.070 --> 0:14:39.430
<v Speaker 1>and like this miraculous experience like had its limit and

0:14:39.460 --> 0:14:42.280
<v Speaker 1>that was a second sadness essentially in that but what

0:14:42.300 --> 0:14:44.480
<v Speaker 1>you're saying is we may be on the cusp of

0:14:44.880 --> 0:14:45.560
<v Speaker 1>that not being true.

0:14:46.000 --> 0:14:49.200
<v Speaker 2>I think What we and a few others are doing

0:14:49.400 --> 0:14:54.380
<v Speaker 2>is taking that amazing proof of concept and productizing it

0:14:54.560 --> 0:14:57.530
<v Speaker 2>because that was achieved. And the other experiments like it,

0:14:57.770 --> 0:15:00.270
<v Speaker 2>places like Carnegie Mellon and University of Pittsburgh and a

0:15:00.310 --> 0:15:06.710
<v Speaker 2>few other centers of excellence, using prototype devices that involved

0:15:06.990 --> 0:15:10.830
<v Speaker 2>parts of the system actually protruding from the head, wires

0:15:11.130 --> 0:15:16.800
<v Speaker 2>often physically connecting the brain to external compute. There's all

0:15:16.840 --> 0:15:20.300
<v Speaker 2>sorts of issues and risks associated with that, with infection

0:15:20.340 --> 0:15:23.560
<v Speaker 2>being sort of the most obvious one. And the systems

0:15:23.600 --> 0:15:25.880
<v Speaker 2>were nowhere near robust enough to go through the FDA

0:15:25.950 --> 0:15:31.790
<v Speaker 2>regulatory process. So the positive sort of take on this

0:15:32.050 --> 0:15:34.390
<v Speaker 2>is this technology works and is going to make a

0:15:34.590 --> 0:15:36.970
<v Speaker 2>huge difference to a group of people who right now

0:15:36.990 --> 0:15:40.590
<v Speaker 2>have nothing. The negative is it's been validated in academia

0:15:40.610 --> 0:15:43.610
<v Speaker 2>for two decades, and about 100 people have been implanted.

0:15:44.090 --> 0:15:48.980
<v Speaker 2>I mean, incredibly poor real-world impact. And so I think

0:15:49.020 --> 0:15:51.300
<v Speaker 2>it's our job to make sure that the next 20

0:15:51.300 --> 0:15:53.160
<v Speaker 2>years are not like the previous 20.

0:15:53.160 --> 0:15:55.580
<v Speaker 1>How many of these implants do you think you may

0:15:55.620 --> 0:15:56.400
<v Speaker 1>do in the next 20 years?

0:15:57.220 --> 0:16:04.710
<v Speaker 2>The path for precision is initially to start with severe paralysis.

0:16:05.390 --> 0:16:09.250
<v Speaker 2>There are 350 or so thousand people in the United

0:16:09.310 --> 0:16:13.240
<v Speaker 2>States and several million globally who are completely paralyzed. So

0:16:13.340 --> 0:16:15.780
<v Speaker 2>unable to use arms and hands at all, but still

0:16:16.340 --> 0:16:19.800
<v Speaker 2>sound of mind. I think the next expansion from that

0:16:20.260 --> 0:16:24.020
<v Speaker 2>is towards partial paralysis. So think about, for example, someone

0:16:24.040 --> 0:16:27.130
<v Speaker 2>who's had a stroke. So they can use one side

0:16:27.170 --> 0:16:29.670
<v Speaker 2>of their body, but not the other. Again, that means

0:16:29.950 --> 0:16:33.750
<v Speaker 2>severe limitations in terms of an ability to control a keyboard,

0:16:33.770 --> 0:16:36.470
<v Speaker 2>a mouse, a touchscreen. And that is a population that

0:16:36.510 --> 0:16:39.960
<v Speaker 2>is five to 10 times larger than the initial severe

0:16:40.630 --> 0:16:44.900
<v Speaker 2>paralysis population. So just in those two groups, which are

0:16:44.940 --> 0:16:47.940
<v Speaker 2>our initial two areas of focus, you're talking about millions

0:16:47.960 --> 0:16:49.900
<v Speaker 2>of people in the United States and tens of millions

0:16:49.940 --> 0:16:55.160
<v Speaker 2>of people globally. I'm very excited over time to address

0:16:55.820 --> 0:16:59.560
<v Speaker 2>some of the neurological illnesses that we either have no

0:16:59.600 --> 0:17:02.860
<v Speaker 2>treatments for now or that they're very, very poor. So

0:17:03.320 --> 0:17:06.600
<v Speaker 2>two examples I'll give are one is refractory depression. So

0:17:06.640 --> 0:17:11.770
<v Speaker 2>depression that doesn't respond well medication. The idea of using

0:17:11.890 --> 0:17:16.670
<v Speaker 2>electricity to disrupt neural circuits that are not operating properly

0:17:17.450 --> 0:17:21.080
<v Speaker 2>is extremely well established. It's electroconvulsive therapy. You're talking about

0:17:21.340 --> 0:17:25.119
<v Speaker 2>putting electrodes on people's skulls. It's very coarse. There are

0:17:25.220 --> 0:17:29.580
<v Speaker 2>significant off-target effects, which is sort of a euphemism for reality.

0:17:29.740 --> 0:17:32.490
<v Speaker 2>And yet, it's still used as standard of care because

0:17:32.510 --> 0:17:32.869
<v Speaker 2>it works.

0:17:33.340 --> 0:17:36.010
<v Speaker 1>So what you've been talking up until now is output,

0:17:36.050 --> 0:17:38.649
<v Speaker 1>decoding the thoughts from the brain to create action in

0:17:38.670 --> 0:17:40.530
<v Speaker 1>the world. What you're now talking about is input.

0:17:40.690 --> 0:17:44.830
<v Speaker 2>That's exactly right. I think the way that a really

0:17:44.869 --> 0:17:50.750
<v Speaker 2>high-performance depression-focused system must work is bidirectional. So you need

0:17:50.770 --> 0:17:54.260
<v Speaker 2>to be able to, instead of just introducing current to

0:17:54.300 --> 0:17:56.619
<v Speaker 2>the brain, irrespective of brain state, you really want to

0:17:56.680 --> 0:18:02.180
<v Speaker 2>understand when the brain needs intervention. And then when it does,

0:18:02.720 --> 0:18:06.379
<v Speaker 2>do so as precisely as possible to limit the sort

0:18:06.400 --> 0:18:09.520
<v Speaker 2>of the side effects of that intervention. I think that

0:18:09.660 --> 0:18:13.810
<v Speaker 2>is only possible with a high-performance, high-bandwidth brain-computer interface.

0:18:14.550 --> 0:18:16.330
<v Speaker 1>And when might UI want to get one of these

0:18:16.350 --> 0:18:17.310
<v Speaker 1>voluntarily and why?

0:18:17.890 --> 0:18:21.570
<v Speaker 2>I think the short answer is there's already people who

0:18:21.590 --> 0:18:24.650
<v Speaker 2>want one. That said, I think that that's, you know,

0:18:25.170 --> 0:18:28.359
<v Speaker 2>Neuralink has publicly said they have a 10,000-person wait list

0:18:28.470 --> 0:18:31.479
<v Speaker 2>for their system. I guarantee not all those people are

0:18:31.520 --> 0:18:35.470
<v Speaker 2>severely paralyzed. we all get inquiries from folks who are

0:18:35.510 --> 0:18:38.830
<v Speaker 2>interested in controlling computers in a more seamless way. I

0:18:38.869 --> 0:18:41.750
<v Speaker 2>think the kind of maybe superficial way of describing it

0:18:41.790 --> 0:18:46.490
<v Speaker 2>would be to say, well, we have always evolved the

0:18:47.130 --> 0:18:51.959
<v Speaker 2>interface between computers and human beings, and that's unlocked new function.

0:18:52.100 --> 0:18:55.419
<v Speaker 2>So like mainframe computers, we had punch cards. With the

0:18:55.440 --> 0:18:59.940
<v Speaker 2>desktop and the laptop, we have a keyboard and a mouse. Increasingly,

0:19:00.160 --> 0:19:04.200
<v Speaker 2>we control computers with smartphones by tapping on a little

0:19:04.220 --> 0:19:08.320
<v Speaker 2>black screen. And all of those shifts have created whole

0:19:08.359 --> 0:19:12.020
<v Speaker 2>new areas of function, new applications. I think the end

0:19:12.040 --> 0:19:16.639
<v Speaker 2>state is direct neural control. That said, would I or

0:19:16.660 --> 0:19:20.149
<v Speaker 2>would I recommend my family get an implant simply to

0:19:20.190 --> 0:19:22.850
<v Speaker 2>be able to control a computer cursor a little bit faster,

0:19:22.869 --> 0:19:25.670
<v Speaker 2>a little bit more efficiently? No, I think most people

0:19:25.710 --> 0:19:30.389
<v Speaker 2>would not. I think where the really interesting and exciting

0:19:30.670 --> 0:19:35.859
<v Speaker 2>developments lie is around being able to interact with technology

0:19:36.060 --> 0:19:38.900
<v Speaker 2>in ways that are just not possible right now. So

0:19:39.160 --> 0:19:42.960
<v Speaker 2>I'll give you an example. We all use AI in

0:19:43.280 --> 0:19:47.469
<v Speaker 2>one way, shape, or form, largely through text prompts. You

0:19:47.490 --> 0:19:51.780
<v Speaker 2>either speak a prompt or you... type it. That involves

0:19:51.820 --> 0:19:56.199
<v Speaker 2>taking an idea and basically condensing it into words and

0:19:56.300 --> 0:19:58.580
<v Speaker 2>outputting those words to a prompt. And what I think

0:19:58.619 --> 0:20:03.040
<v Speaker 2>everybody experiences is that the output is magical in some ways,

0:20:03.140 --> 0:20:04.200
<v Speaker 2>but often off.

0:20:04.480 --> 0:20:05.200
<v Speaker 1>Lost in translation.

0:20:05.340 --> 0:20:07.100
<v Speaker 2>A little bit. And you got to keep going back

0:20:07.119 --> 0:20:11.150
<v Speaker 2>and forth and Eventually, it usually gets it. But the

0:20:11.210 --> 0:20:15.180
<v Speaker 2>reason for that is at least partly because the AI

0:20:15.280 --> 0:20:20.260
<v Speaker 2>doesn't have all of the context that you're bringing to

0:20:20.320 --> 0:20:23.460
<v Speaker 2>this request. It doesn't have your memories. It doesn't have

0:20:23.520 --> 0:20:28.109
<v Speaker 2>your intentions. It doesn't have your perspective. It can't understand

0:20:28.170 --> 0:20:30.510
<v Speaker 2>all of that. And it's very lossy to take an

0:20:30.630 --> 0:20:33.590
<v Speaker 2>idea and condense it into a few sentences and a

0:20:33.609 --> 0:20:37.580
<v Speaker 2>text prompt. I think where... we are headed is a

0:20:37.920 --> 0:20:43.439
<v Speaker 2>system that can decode and interpret higher level mental processes.

0:20:43.960 --> 0:20:46.940
<v Speaker 2>You know, we're starting with more mechanistic sort of motor control,

0:20:47.240 --> 0:20:49.060
<v Speaker 2>but if you can decode the motor part of the brain,

0:20:49.180 --> 0:20:52.540
<v Speaker 2>you can also decode some of these more sophisticated mental

0:20:52.580 --> 0:20:56.180
<v Speaker 2>processes over time. And I think that that will enable

0:20:56.720 --> 0:20:59.710
<v Speaker 2>us to interact with AI in ways that just aren't

0:20:59.810 --> 0:21:02.110
<v Speaker 2>possible without a system like this.

0:21:02.630 --> 0:21:05.209
<v Speaker 1>But so, I mean, talk about that because the, I mean,

0:21:05.670 --> 0:21:08.409
<v Speaker 1>It's obviously one of the hardest science challenges humanity has

0:21:08.490 --> 0:21:12.450
<v Speaker 1>ever solved to decode the brainwaves into electricity and turn

0:21:12.470 --> 0:21:15.090
<v Speaker 1>it into output information to move a mechanical limb. I mean,

0:21:15.109 --> 0:21:17.310
<v Speaker 1>no one would take away from how extraordinary that is.

0:21:17.990 --> 0:21:20.380
<v Speaker 1>But ultimately, like, I know I want to raise my

0:21:20.430 --> 0:21:23.320
<v Speaker 1>hand is different from, I know I want to sit

0:21:23.359 --> 0:21:26.200
<v Speaker 1>here with Michael and continue the conversation, but I'm also hungry. Like,

0:21:26.240 --> 0:21:27.760
<v Speaker 1>you know, like, should I go for lunch or should

0:21:27.780 --> 0:21:29.180
<v Speaker 1>I stay? I'm going to stay because I have a

0:21:29.540 --> 0:21:32.379
<v Speaker 1>higher order brain function that makes the social norm is

0:21:32.400 --> 0:21:35.430
<v Speaker 1>that we continue this interview even though I'm hungry. First,

0:21:35.470 --> 0:21:38.110
<v Speaker 1>what's been done now and what hasn't been done? But secondly,

0:21:38.170 --> 0:21:40.429
<v Speaker 1>how do you begin to bridge that gap?

0:21:40.770 --> 0:21:43.580
<v Speaker 2>It's a fantastic question. And I only have partial answers,

0:21:43.630 --> 0:21:47.040
<v Speaker 2>but I'll sort of offer you what I have. That

0:21:47.200 --> 0:21:51.020
<v Speaker 2>is absolutely true. It's part of the complexity of the

0:21:51.040 --> 0:21:54.930
<v Speaker 2>brain and interfacing with the brain. And it's actually present

0:21:55.150 --> 0:21:57.210
<v Speaker 2>even in the work that we're doing now. So we

0:21:57.430 --> 0:22:00.230
<v Speaker 2>brought on, as an advisor, we announced this a couple

0:22:00.280 --> 0:22:02.840
<v Speaker 2>months ago, John Donahue. He was the pioneer. John is

0:22:03.160 --> 0:22:06.600
<v Speaker 2>the godfather of BCI. He did that sort of initial

0:22:06.600 --> 0:22:12.180
<v Speaker 2>2004 implant and most of the other ones. He's seen

0:22:12.220 --> 0:22:13.840
<v Speaker 2>it and done it all. And he joined Precision for

0:22:13.859 --> 0:22:15.760
<v Speaker 2>a variety of reasons, which I can get into. But

0:22:16.300 --> 0:22:18.419
<v Speaker 2>talking to him about some of the experiences, you know,

0:22:18.800 --> 0:22:22.990
<v Speaker 2>what they found, especially in their earlier systems, was if someone...

0:22:23.280 --> 0:22:26.420
<v Speaker 2>was watching television. They had, you know, one of the

0:22:27.140 --> 0:22:30.119
<v Speaker 2>participants that he worked with had a favorite soap opera.

0:22:30.140 --> 0:22:32.300
<v Speaker 2>And every time the soap opera would come on, it

0:22:32.320 --> 0:22:34.280
<v Speaker 2>would be on, you know, sort of in the corner

0:22:34.300 --> 0:22:37.639
<v Speaker 2>of this person's eye, but he'd end up watching it

0:22:37.920 --> 0:22:40.939
<v Speaker 2>unbeknownst to the researchers who were working with him. And

0:22:40.960 --> 0:22:46.520
<v Speaker 2>the decoding of his motor performance would degrade. So, you know,

0:22:46.700 --> 0:22:50.639
<v Speaker 2>that is absolutely a real phenomenon that we all have

0:22:50.660 --> 0:22:53.830
<v Speaker 2>to deal with. That said, The systems that we have

0:22:53.910 --> 0:22:58.330
<v Speaker 2>now on the algorithmic side are just orders of magnitude

0:22:58.369 --> 0:23:00.190
<v Speaker 2>more powerful than even the ones we had two years ago,

0:23:00.230 --> 0:23:03.400
<v Speaker 2>let alone the ones we had 20 years ago. That's right.

0:23:03.700 --> 0:23:06.980
<v Speaker 2>And that's what's so interesting that I think artificial intelligence

0:23:07.119 --> 0:23:10.179
<v Speaker 2>is enabling us to understand aspects of human intelligence that

0:23:10.220 --> 0:23:13.920
<v Speaker 2>just weren't possible even a few years ago. But this

0:23:14.000 --> 0:23:17.859
<v Speaker 2>is a question of more and more data applied to

0:23:18.119 --> 0:23:22.400
<v Speaker 2>cutting edge algorithms to help us untangle these different mental

0:23:22.420 --> 0:23:25.869
<v Speaker 2>processes and have systems that work to our benefit.

0:23:49.940 --> 0:23:51.699
<v Speaker 1>I read somewhere, and this may be wrong, but that

0:23:51.820 --> 0:23:55.300
<v Speaker 1>Neuralink had a kind of proprietary data set of chimpanzee

0:23:55.440 --> 0:23:58.000
<v Speaker 1>brain research that you guys don't have, and therefore that

0:23:58.020 --> 0:24:00.700
<v Speaker 1>gives them an edge. Like, how does the AI with

0:24:00.760 --> 0:24:02.859
<v Speaker 1>reinforcement learning, et cetera, how do you teach it what

0:24:02.900 --> 0:24:03.660
<v Speaker 1>the signals mean?

0:24:03.920 --> 0:24:07.280
<v Speaker 2>Yeah. Neuralink made a choice to work with non-human primates

0:24:07.340 --> 0:24:11.000
<v Speaker 2>and monkeys. We have not. Our animal model is pig.

0:24:11.560 --> 0:24:13.380
<v Speaker 2>And part of the reason that we didn't work with

0:24:13.900 --> 0:24:16.480
<v Speaker 2>monkeys is because we were able to get into humans

0:24:16.580 --> 0:24:19.800
<v Speaker 2>within two years. It took them, you know, almost triple

0:24:19.840 --> 0:24:21.940
<v Speaker 2>the time. And that's, again, just the function of the

0:24:21.980 --> 0:24:25.070
<v Speaker 2>fact that our system is non-damaging. And so the barrier

0:24:25.170 --> 0:24:28.130
<v Speaker 2>to doing a first implant was much lower. We have

0:24:28.490 --> 0:24:32.270
<v Speaker 2>really built on that fundamental advantage. And I would say

0:24:32.290 --> 0:24:36.430
<v Speaker 2>that our clinical ground game is by far the best

0:24:36.650 --> 0:24:43.080
<v Speaker 2>in the industry. So our velocity of implants is rapidly increasing. That, again,

0:24:43.240 --> 0:24:45.360
<v Speaker 2>on top of the fact that we have a vertically

0:24:45.400 --> 0:24:51.159
<v Speaker 2>integrated supply chain, This whole clinical operation is resource intensive.

0:24:51.660 --> 0:24:56.050
<v Speaker 2>It's capital intensive. It's really hard. You know, companies that

0:24:56.200 --> 0:24:59.450
<v Speaker 2>come from more of sort of an engineering or tech background,

0:24:59.810 --> 0:25:02.510
<v Speaker 2>I think really struggle to understand how to work in

0:25:02.570 --> 0:25:04.949
<v Speaker 2>hospitals in ways that aren't disruptive. You know, you have

0:25:04.970 --> 0:25:08.570
<v Speaker 2>to get invited into these systems in order to work.

0:25:08.890 --> 0:25:13.050
<v Speaker 2>And I think having been as, you know, the chief

0:25:13.070 --> 0:25:16.300
<v Speaker 2>science officer and co-founder of the company lends a huge

0:25:16.320 --> 0:25:20.119
<v Speaker 2>amount of credibility within this community to the work that

0:25:20.160 --> 0:25:22.040
<v Speaker 2>Precision is doing. So I think the answer to your

0:25:22.080 --> 0:25:25.590
<v Speaker 2>question is, yeah, non-human primate data is great, but what

0:25:25.609 --> 0:25:29.410
<v Speaker 2>you really want is human neural data. And I think

0:25:29.490 --> 0:25:33.389
<v Speaker 2>we have access to that at scale and with diversity

0:25:33.410 --> 0:25:37.109
<v Speaker 2>across patients that has just never before been done in

0:25:37.190 --> 0:25:40.669
<v Speaker 2>human history. And again, this is all focused today on

0:25:40.770 --> 0:25:45.890
<v Speaker 2>motor decoding, and it's all based on patients have to opt-in.

0:25:45.910 --> 0:25:49.630
<v Speaker 2>So it's a consent-based system. It operates all under the

0:25:49.910 --> 0:25:52.639
<v Speaker 2>review boards of the institutions where we're working. And it's

0:25:52.660 --> 0:25:56.219
<v Speaker 2>all de-identified data that complies with HIPAA. So I want

0:25:56.240 --> 0:25:58.120
<v Speaker 2>to say that because I know that this stuff can

0:25:58.320 --> 0:26:02.800
<v Speaker 2>get understandably concerning when people hear about neural data. But yeah,

0:26:02.820 --> 0:26:06.220
<v Speaker 2>what we're talking about is really sort of correlating what

0:26:06.350 --> 0:26:10.550
<v Speaker 2>these electrical signals in the brain actually mean and the

0:26:10.609 --> 0:26:14.820
<v Speaker 2>extent to which they are representative across different people, which

0:26:14.940 --> 0:26:17.459
<v Speaker 2>it turns out for motor systems, they really are.

0:26:18.820 --> 0:26:20.780
<v Speaker 1>I should have asked you this earlier, but the array,

0:26:20.800 --> 0:26:24.220
<v Speaker 1>how does it communicate with the outside world from inside

0:26:24.240 --> 0:26:25.220
<v Speaker 1>the human body?

0:26:25.440 --> 0:26:29.780
<v Speaker 2>The people that we're implanting today are undergoing a neurosurgical

0:26:29.820 --> 0:26:32.980
<v Speaker 2>procedure anyway. So they're in the hospital. For example, they're

0:26:33.020 --> 0:26:36.100
<v Speaker 2>having put out a demo a couple months ago of

0:26:36.140 --> 0:26:39.300
<v Speaker 2>someone who was undergoing a surgery because he had a

0:26:39.480 --> 0:26:41.980
<v Speaker 2>benign brain tumor. And so while he was in the hospital,

0:26:42.530 --> 0:26:45.390
<v Speaker 2>The surgeon said, listen, we're working with this company, Precision Neuroscience.

0:26:45.420 --> 0:26:47.920
<v Speaker 2>They have an FDA clearance. Would you like to, while

0:26:47.940 --> 0:26:50.720
<v Speaker 2>you're in the hospital anyway, be implanted and learn how

0:26:50.740 --> 0:26:53.040
<v Speaker 2>to control a computer with your thoughts? And about 50%

0:26:53.040 --> 0:26:55.899
<v Speaker 2>of people say, that sounds amazing. I'd love to. And

0:26:55.920 --> 0:26:58.850
<v Speaker 2>about 50% say, no, thank you. The system that we're

0:26:58.890 --> 0:27:04.290
<v Speaker 2>implanting in those cases is wired. So the array is

0:27:04.369 --> 0:27:07.619
<v Speaker 2>bonded to a little black package that sits outside the

0:27:07.650 --> 0:27:10.320
<v Speaker 2>head that has a wire that goes to a computer.

0:27:11.890 --> 0:27:15.609
<v Speaker 2>It is the same signal chain and the same basic

0:27:15.670 --> 0:27:19.690
<v Speaker 2>architecture as the fully implanted system. But the fully implanted

0:27:19.750 --> 0:27:21.889
<v Speaker 2>system needs to be hermetic and it needs to stay

0:27:21.910 --> 0:27:25.159
<v Speaker 2>in the body forever. So you have a different level

0:27:25.200 --> 0:27:27.300
<v Speaker 2>of sort of testing rigor that you have to go

0:27:27.359 --> 0:27:30.379
<v Speaker 2>through in order to get a fully implanted system approved

0:27:30.420 --> 0:27:32.320
<v Speaker 2>for human use. We're in the process of doing that.

0:27:32.400 --> 0:27:34.160
<v Speaker 2>You know, we're going to have more news on that soon.

0:27:34.869 --> 0:27:38.710
<v Speaker 2>But what we're able to do uniquely is basically demonstrate

0:27:38.850 --> 0:27:40.930
<v Speaker 2>that our system is able to perform at the highest

0:27:40.990 --> 0:27:44.590
<v Speaker 2>level today and not have to wait for, both on

0:27:44.609 --> 0:27:47.910
<v Speaker 2>the performance validation or on the data collection side, the

0:27:47.950 --> 0:27:49.800
<v Speaker 2>time that the permanent implant is ready.

0:27:51.130 --> 0:27:53.320
<v Speaker 1>I was at a talk that was an interview with

0:27:53.359 --> 0:27:56.540
<v Speaker 1>Demis Hassabis and Reid Al-Brigotti from Semaphore a couple of

0:27:56.560 --> 0:28:00.840
<v Speaker 1>months ago. And Demis was talking about decoding an image

0:28:00.859 --> 0:28:03.459
<v Speaker 1>a person is thinking about or dreaming of. and then

0:28:03.540 --> 0:28:06.280
<v Speaker 1>using a model to recreate the visuals, and then asking

0:28:06.320 --> 0:28:08.700
<v Speaker 1>somebody in the scanner what they're thinking about, and it

0:28:08.770 --> 0:28:13.430
<v Speaker 1>is indeed the thing that the machine saw. Kind of mind-blowing. Yeah.

0:28:13.670 --> 0:28:15.830
<v Speaker 2>I mean, it turns out that some of these things

0:28:16.090 --> 0:28:18.650
<v Speaker 2>are a lot easier than others. It turns out that

0:28:18.840 --> 0:28:23.200
<v Speaker 2>sort of, you know, mind's eye representations are quite prominent

0:28:23.740 --> 0:28:27.460
<v Speaker 2>signals in the brain, whereas other mental processes are more subtle.

0:28:27.940 --> 0:28:30.980
<v Speaker 2>But yeah, it is. It's amazing. And I think it's

0:28:31.420 --> 0:28:33.960
<v Speaker 2>exciting for a variety of reasons, but also something that

0:28:33.980 --> 0:28:35.220
<v Speaker 2>we need to be very careful about.

0:28:35.760 --> 0:28:38.030
<v Speaker 1>Are you building cyborgs?

0:28:38.050 --> 0:28:43.410
<v Speaker 2>I would say cyborgs have existed for 70 years. Anyone

0:28:43.430 --> 0:28:47.070
<v Speaker 2>who has a pacemaker is in some ways a cyborg

0:28:47.170 --> 0:28:50.030
<v Speaker 2>or a spinal cord stimulator or a deep brain stimulator.

0:28:50.050 --> 0:28:55.280
<v Speaker 2>I think the idea of technology addressing... human health challenges

0:28:55.400 --> 0:28:58.700
<v Speaker 2>is not a new one. This is, I think, an

0:28:58.790 --> 0:29:00.770
<v Speaker 2>evolution in that sense, not a revolution.

0:29:01.850 --> 0:29:05.070
<v Speaker 1>But you alluded to people's concerns. What are your fears?

0:29:05.510 --> 0:29:10.730
<v Speaker 1>How could this, if not properly controlled, what are some

0:29:10.760 --> 0:29:11.620
<v Speaker 1>of the negative scenarios?

0:29:12.660 --> 0:29:17.720
<v Speaker 2>I mean, I think what we're doing is, and not

0:29:17.760 --> 0:29:22.120
<v Speaker 2>just us, the other implantable BCI companies, I think is

0:29:22.140 --> 0:29:25.880
<v Speaker 2>an unambiguous positive. I think offering a tool to people

0:29:26.380 --> 0:29:29.760
<v Speaker 2>who right now have no therapy available to them is terrific.

0:29:30.200 --> 0:29:34.110
<v Speaker 2>But like any tool, it can be used, a hammer

0:29:34.110 --> 0:29:37.180
<v Speaker 2>can build a house or it can you know, harm

0:29:37.200 --> 0:29:40.560
<v Speaker 2>someone else. And so I think that there are for

0:29:40.680 --> 0:29:45.240
<v Speaker 2>sure legitimate concerns around the evolution of this technology, both

0:29:45.780 --> 0:29:49.680
<v Speaker 2>in the initial sort of read-only setting, but I think

0:29:49.720 --> 0:29:52.980
<v Speaker 2>as you alluded to, when it comes to introducing current

0:29:53.030 --> 0:29:55.870
<v Speaker 2>to the brain, so write versus read, I think that

0:29:55.910 --> 0:30:00.050
<v Speaker 2>opens up a whole nother set of concerns. I think

0:30:00.070 --> 0:30:03.350
<v Speaker 2>it's important to remember that this is a technology, though,

0:30:03.530 --> 0:30:05.610
<v Speaker 2>that people have to opt into. No one's going to

0:30:05.630 --> 0:30:08.890
<v Speaker 2>be forced to have a brain-computer interface. And we as

0:30:08.930 --> 0:30:12.260
<v Speaker 2>a company won't succeed, nor would we ever want to

0:30:12.380 --> 0:30:14.560
<v Speaker 2>if we were doing things that were not ultimately in

0:30:14.720 --> 0:30:18.280
<v Speaker 2>the people who adopt the technology's best interests. That said,

0:30:18.300 --> 0:30:19.840
<v Speaker 2>I don't think this is going to be a case

0:30:19.860 --> 0:30:23.760
<v Speaker 2>where companies self-regulate. There are already a number of different

0:30:24.280 --> 0:30:27.320
<v Speaker 2>groups that are coming together to help ensure that this

0:30:27.340 --> 0:30:31.620
<v Speaker 2>technology is developed in the right way. One of those

0:30:31.940 --> 0:30:35.680
<v Speaker 2>is the FDA helps convene something called a collaborative community,

0:30:36.600 --> 0:30:39.340
<v Speaker 2>which is basically all the different stakeholders that are important

0:30:39.360 --> 0:30:43.240
<v Speaker 2>to a new area of technology get together. And ethics

0:30:43.700 --> 0:30:46.620
<v Speaker 2>and data security is one of the most prominent work

0:30:46.640 --> 0:30:48.660
<v Speaker 2>streams of that collaborative community. And I think there's some

0:30:48.720 --> 0:30:51.890
<v Speaker 2>incredibly thoughtful work that's coming out of that. Similarly, I'm

0:30:51.970 --> 0:30:54.469
<v Speaker 2>part of a group at the World Economic Forum that

0:30:54.510 --> 0:30:59.170
<v Speaker 2>is also thinking through and going to soon propose guidelines

0:30:59.310 --> 0:31:03.610
<v Speaker 2>around neurotechnology, data privacy, and data security. So there's a

0:31:03.630 --> 0:31:06.960
<v Speaker 2>sense that we got social media and a lot of

0:31:07.020 --> 0:31:10.100
<v Speaker 2>other areas of technology wrong. The horse is bolted, and

0:31:10.140 --> 0:31:12.060
<v Speaker 2>we need to make sure that we do this one right,

0:31:12.120 --> 0:31:13.280
<v Speaker 2>which I think is the right instinct.

0:31:14.460 --> 0:31:17.460
<v Speaker 1>You talked about read, and the current paradigm for read

0:31:17.520 --> 0:31:20.160
<v Speaker 1>is like motor. If you're paralyzed, you have this amazing

0:31:20.180 --> 0:31:22.960
<v Speaker 1>opportunity to take action in the world with your thoughts.

0:31:23.560 --> 0:31:26.140
<v Speaker 1>Maybe the next generation of read is what Demis is

0:31:26.180 --> 0:31:31.880
<v Speaker 1>talking about, where your visual imagination can be directly interpreted.

0:31:31.960 --> 0:31:34.580
<v Speaker 1>So for example, making a movie rather than decoding into

0:31:34.620 --> 0:31:36.620
<v Speaker 1>words and then going back from words to images, which

0:31:36.760 --> 0:31:39.219
<v Speaker 1>happens with a director, you could just download directly from

0:31:39.260 --> 0:31:40.800
<v Speaker 1>your imagination potentially.

0:31:41.100 --> 0:31:43.290
<v Speaker 2>Totally. I mean, I think some of the people who

0:31:43.330 --> 0:31:47.750
<v Speaker 2>have described what they believe the future of BCI entails

0:31:47.810 --> 0:31:49.550
<v Speaker 2>is along the lines of what you described, which is,

0:31:50.130 --> 0:31:53.240
<v Speaker 2>you know, right now, I described how we communicate with AI,

0:31:53.260 --> 0:31:55.420
<v Speaker 2>but it's actually how we communicate with each other also, right?

0:31:55.620 --> 0:31:58.020
<v Speaker 2>We have ideas. We have a picture in our mind's eye.

0:31:58.060 --> 0:32:01.920
<v Speaker 2>We have a complicated concept. And in order for me

0:32:01.940 --> 0:32:04.810
<v Speaker 2>to communicate that to you, we have to condense that

0:32:04.910 --> 0:32:08.650
<v Speaker 2>thought or idea or image into words. And then we

0:32:08.710 --> 0:32:11.730
<v Speaker 2>either like flap our mouths or we tap our fingers

0:32:11.850 --> 0:32:15.430
<v Speaker 2>in order to communicate to somebody else. Imagine being able

0:32:15.550 --> 0:32:21.040
<v Speaker 2>to project an image or an idea. I think that,

0:32:21.280 --> 0:32:24.060
<v Speaker 2>you know, that has the potential to unlock. I think

0:32:24.100 --> 0:32:26.520
<v Speaker 2>it could be incredibly positive for humanity. It's kind of

0:32:26.540 --> 0:32:29.219
<v Speaker 2>scary because no one has ever done that before and

0:32:29.350 --> 0:32:31.570
<v Speaker 2>it's new. But I think that that potential exists.

0:32:32.150 --> 0:32:35.470
<v Speaker 1>So what's the far horizon of read as it pertains

0:32:35.530 --> 0:32:37.890
<v Speaker 1>to decoding the brain? What's sci-fi today that might be

0:32:37.930 --> 0:32:39.670
<v Speaker 1>science fact five years or ten years from now?

0:32:39.810 --> 0:32:44.320
<v Speaker 2>I mean, I think about that, honestly, more clinically than

0:32:44.360 --> 0:32:48.080
<v Speaker 2>I do in any other way. you know, the brain today,

0:32:48.700 --> 0:32:53.430
<v Speaker 2>neurological illness is the largest source of sort of economic

0:32:53.730 --> 0:32:57.770
<v Speaker 2>loss in the world. You know, the WHO estimates one

0:32:57.790 --> 0:32:59.550
<v Speaker 2>in three people at one point or another have a

0:32:59.630 --> 0:33:03.070
<v Speaker 2>serious neurological illness in their lives. And, you know, the

0:33:03.110 --> 0:33:07.570
<v Speaker 2>brain is still like basically offline and analog. And when

0:33:07.610 --> 0:33:10.290
<v Speaker 2>it goes wrong, we have either no interventions or very,

0:33:10.370 --> 0:33:14.100
<v Speaker 2>very sort of coarse ones. If you think about medicine

0:33:14.220 --> 0:33:17.620
<v Speaker 2>more generally, and especially it feels like it's accelerating in

0:33:17.660 --> 0:33:21.560
<v Speaker 2>an exciting way, we're making such rapid advances. And they're

0:33:21.600 --> 0:33:26.270
<v Speaker 2>really driven by digitizing biology and then applying compute in

0:33:26.310 --> 0:33:31.830
<v Speaker 2>a way that unlocks breakthroughs. So mRNA, the incredible performance

0:33:31.910 --> 0:33:36.260
<v Speaker 2>of the potential cancer therapeutics and the whole genomics revolution

0:33:36.340 --> 0:33:38.480
<v Speaker 2>is a great example of this. There's so many areas

0:33:38.580 --> 0:33:41.500
<v Speaker 2>of medicine that I think are being transformed effectively by compute,

0:33:41.920 --> 0:33:45.580
<v Speaker 2>not the brain. the brain remains impervious to commute. It's

0:33:45.600 --> 0:33:47.900
<v Speaker 2>hard to get to. So it's like physically very well

0:33:47.940 --> 0:33:50.870
<v Speaker 2>protected by the skull. And then once you get to it,

0:33:51.380 --> 0:33:55.650
<v Speaker 2>it's delicate. And so we have not up until now

0:33:55.710 --> 0:33:59.290
<v Speaker 2>had a tool to digitize the brain so that we

0:33:59.310 --> 0:34:02.790
<v Speaker 2>can apply compute to it and understand what's going on.

0:34:03.010 --> 0:34:08.430
<v Speaker 2>And I believe intervene in much more precise ways when

0:34:08.750 --> 0:34:13.080
<v Speaker 2>it's not behaving properly. So my vision for the next

0:34:13.160 --> 0:34:16.160
<v Speaker 2>five years, what I hope that we can head towards

0:34:16.930 --> 0:34:21.589
<v Speaker 2>is a world where neurological illness generally is much less debilitating.

0:34:22.310 --> 0:34:25.150
<v Speaker 1>And is organoids like a parallel research path? I mean,

0:34:25.190 --> 0:34:26.830
<v Speaker 1>is that like there's the organoid crowd and there's the

0:34:26.870 --> 0:34:28.610
<v Speaker 1>BCI crowd or like what's the.

0:34:29.670 --> 0:34:32.210
<v Speaker 2>You know, I'm not an expert on organoids. I think

0:34:32.250 --> 0:34:34.920
<v Speaker 2>they certainly have a place in the research. I think

0:34:34.980 --> 0:34:38.219
<v Speaker 2>that they are proxies in some ways, but maybe not

0:34:38.380 --> 0:34:41.450
<v Speaker 2>as good proxies as we had hoped for for the

0:34:41.530 --> 0:34:45.950
<v Speaker 2>full complexity and dynamism of all sorts of different organs,

0:34:46.010 --> 0:34:48.830
<v Speaker 2>including the brain. I hope that that also is an

0:34:48.870 --> 0:34:53.549
<v Speaker 2>area that produces breakthroughs, but I think it's not an

0:34:53.680 --> 0:34:54.560
<v Speaker 2>area that I'm expert in.

0:34:55.960 --> 0:34:58.080
<v Speaker 1>The Wall Street Journal wrote, and to be fair, this

0:34:58.100 --> 0:35:01.620
<v Speaker 1>was back in 2024, other than perhaps the quest for

0:35:01.700 --> 0:35:05.720
<v Speaker 1>human-level AI, well, a show that is a bit dated,

0:35:05.739 --> 0:35:10.509
<v Speaker 1>or colonization of other planets, Not coincidentally, two other areas

0:35:10.530 --> 0:35:13.740
<v Speaker 1>where Musk is a big proponent. Few fields exhibit such

0:35:13.760 --> 0:35:17.680
<v Speaker 1>a wide gulf between technology's potential and its near-term prospects. Obviously,

0:35:18.219 --> 0:35:20.399
<v Speaker 1>written in 2024 and showed his age with the first

0:35:20.440 --> 0:35:23.000
<v Speaker 1>part of the quote, but what about the second part?

0:35:23.260 --> 0:35:26.290
<v Speaker 2>I think going back to what we described earlier, two

0:35:26.350 --> 0:35:29.690
<v Speaker 2>decades of academic proofs of concept, and yet fewer than

0:35:29.690 --> 0:35:32.469
<v Speaker 2>100 people walking around with a BCI. Yeah, I think

0:35:32.489 --> 0:35:35.010
<v Speaker 2>that that's incredibly disappointing. I think that it's our job

0:35:35.050 --> 0:35:37.480
<v Speaker 2>to make sure that we don't look back five years

0:35:37.520 --> 0:35:41.400
<v Speaker 2>hence and think that that comment remains accurate.

0:35:42.320 --> 0:35:44.860
<v Speaker 1>And yet other people have said 2026 will maybe be

0:35:44.900 --> 0:35:47.480
<v Speaker 1>the chat GPT moment for BCIs. Why do they say that?

0:35:49.410 --> 0:35:49.779
<v Speaker 1>I don't know.

0:35:49.800 --> 0:35:52.450
<v Speaker 2>I don't say that. But I think that a chat

0:35:52.510 --> 0:35:56.129
<v Speaker 2>GPT moment is likely to come. I think if you

0:35:56.270 --> 0:35:58.230
<v Speaker 2>take a step back, so I think one of the

0:35:58.270 --> 0:36:02.630
<v Speaker 2>most important and valuable assets that we have as a

0:36:02.680 --> 0:36:07.340
<v Speaker 2>company is this pipeline to collect data at scale. This

0:36:07.820 --> 0:36:12.400
<v Speaker 2>incredibly valuable, first of its kind on earth, high resolution

0:36:12.440 --> 0:36:18.310
<v Speaker 2>neural data. And we've used that to implant nearly a

0:36:18.330 --> 0:36:21.410
<v Speaker 2>hundred patients. And, you know, that's multiples of what anyone

0:36:21.430 --> 0:36:23.670
<v Speaker 2>else says, but a hundred patients is a hundred patients.

0:36:23.690 --> 0:36:26.969
<v Speaker 2>It's not, I mean, We need to get to thousands

0:36:27.050 --> 0:36:30.050
<v Speaker 2>and tens of thousands and hundreds of thousands over time.

0:36:30.090 --> 0:36:32.590
<v Speaker 2>I think that is exactly what we're set up to do.

0:36:33.250 --> 0:36:36.109
<v Speaker 2>But I think in the context of big data, you're

0:36:36.150 --> 0:36:40.250
<v Speaker 2>looking at further scaling up. And we don't know exactly

0:36:40.530 --> 0:36:43.589
<v Speaker 2>where the numbers start to tip and the breakthroughs really

0:36:43.630 --> 0:36:45.689
<v Speaker 2>start to come. I think we're excited to find out, though.

0:36:46.850 --> 0:36:49.919
<v Speaker 1>What does a world in which you deliver on your

0:36:49.940 --> 0:36:50.520
<v Speaker 1>mission look like?

0:36:51.110 --> 0:36:53.650
<v Speaker 2>In the first instance, and I think about this in stages,

0:36:53.989 --> 0:36:57.780
<v Speaker 2>in the first instance, some of the illnesses that we're

0:36:58.260 --> 0:37:01.420
<v Speaker 2>going after. So if you think about paralysis and other

0:37:01.440 --> 0:37:06.799
<v Speaker 2>BCI companies are going after blindness, these are like biblical afflictions.

0:37:07.140 --> 0:37:10.770
<v Speaker 2>These are things that have been debilitating and irreversible since

0:37:10.790 --> 0:37:14.750
<v Speaker 2>human beings existed. And I think in the next five years,

0:37:15.090 --> 0:37:17.310
<v Speaker 2>we have the potential to really change what it means

0:37:17.370 --> 0:37:21.160
<v Speaker 2>to be disabled. And I think that's incredibly exciting. I

0:37:21.200 --> 0:37:26.569
<v Speaker 2>think that should be doable based on the technology that

0:37:26.590 --> 0:37:29.509
<v Speaker 2>we have today and the trajectory that we're on. I

0:37:29.550 --> 0:37:33.070
<v Speaker 2>think 10 to 15 years is more along the lines

0:37:33.130 --> 0:37:38.540
<v Speaker 2>of what we were discussing earlier around taking neurological illnesses

0:37:39.080 --> 0:37:43.660
<v Speaker 2>that maybe have poor therapies today or no therapies that

0:37:43.680 --> 0:37:46.900
<v Speaker 2>are debilitating in different ways, but which we have very

0:37:46.920 --> 0:37:49.870
<v Speaker 2>little understanding of and very little ability to intervene in.

0:37:50.580 --> 0:37:55.420
<v Speaker 2>And really changing those and making those sorts of neurological

0:37:55.480 --> 0:37:58.920
<v Speaker 2>illnesses addressable. I think we have the potential to reduce

0:37:59.600 --> 0:38:04.509
<v Speaker 2>suffering enormously. Over time, do I think that this will

0:38:04.550 --> 0:38:08.750
<v Speaker 2>be a system or an approach that gets adopted by,

0:38:08.930 --> 0:38:12.350
<v Speaker 2>you know, for general use? Probably. I think so. I

0:38:12.570 --> 0:38:16.230
<v Speaker 2>think we're going to need to see continued performance breakthroughs

0:38:16.290 --> 0:38:20.960
<v Speaker 2>to justify, you But I think that those are quite likely.

0:38:20.980 --> 0:38:24.540
<v Speaker 2>I do think in that sort of future state, having

0:38:24.580 --> 0:38:28.920
<v Speaker 2>a system that is fundamentally safe and non-damaging and reversible

0:38:29.080 --> 0:38:31.560
<v Speaker 2>are going to be table stakes for a system to

0:38:31.600 --> 0:38:32.300
<v Speaker 2>achieve adoption.

0:38:33.160 --> 0:38:33.950
<v Speaker 1>Michael, thank you.

0:38:34.239 --> 0:38:34.989
<v Speaker 2>Thanks so much for having me.

0:38:52.170 --> 0:38:55.190
<v Speaker 1>For Tech Stuff, I'm Oz Veloshin. This episode was produced

0:38:55.270 --> 0:38:58.310
<v Speaker 1>by Liza Dennis and Tyler Hill. It was executive produced

0:38:58.350 --> 0:39:02.300
<v Speaker 1>by me and Julian Nutter for Kaleidoscope and Katrina Norvell

0:39:02.340 --> 0:39:05.840
<v Speaker 1>for iHeart Podcasts. Jack Inslee mixed this episode and Kyle

0:39:05.880 --> 0:39:08.259
<v Speaker 1>Murdoch wrote our theme song. A special thank you to

0:39:08.360 --> 0:39:11.360
<v Speaker 1>all our listeners. Please rate, review and reach out to

0:39:11.440 --> 0:39:15.020
<v Speaker 1>us at techstuffpodcast at gmail.com. We love hearing from you.

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<v Speaker 2>Thank you.