WEBVTT - Can I Read Your Mind

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<v Speaker 1>Welcome to tech Stuff, a production of I Heart Radios,

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<v Speaker 1>How Stuff Works. Hey there, and welcome to tech Stuff.

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<v Speaker 1>I'm your host, Jonathan Strickland. I'm an executive producer with

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<v Speaker 1>I Heart Radio and How Stuff Works and a love

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<v Speaker 1>of all things tech and A couple of recent stories

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<v Speaker 1>in the summer of twenty nineteen have been about the

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<v Speaker 1>subject of brain computer interfaces or b C eyes. That's

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<v Speaker 1>a topic I've touched on with previous episodes of Tech Stuff,

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<v Speaker 1>and if you listened to the show Forward Thinking, we

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<v Speaker 1>covered it on that show as well. But since we've

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<v Speaker 1>now got people like Elon Musk and Mark Zuckerberg behind

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<v Speaker 1>the efforts of creating BC eyes, I figured to be

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<v Speaker 1>a good time to revisit the topic, talk about what

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<v Speaker 1>it is, how far along or not far along we

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<v Speaker 1>are with the technology and the ethical can iterations we

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<v Speaker 1>need to keep in mind when we're developing tech like this.

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<v Speaker 1>So a brain computer interface is exactly what it sounds like.

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<v Speaker 1>It's a methodology to allow a user to control or

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<v Speaker 1>interact with a computer directly through brain activity through thought.

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<v Speaker 1>It marries the complicated subjects of neuroscience and computer science

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<v Speaker 1>and a lot of media outlets sort of gloss over

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<v Speaker 1>how truly complicated this is. We have a tendency to

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<v Speaker 1>either think of our brains as being kind of like computers,

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<v Speaker 1>or of computers as being kind of like brains, but

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<v Speaker 1>really they're quite different, and creating an interface that can

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<v Speaker 1>translate the operations of one so that it makes sense

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<v Speaker 1>to the other is harder than it sounds. The goal

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<v Speaker 1>of a brain computer interface is to strip away as

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<v Speaker 1>much of the barrier between our intent and the computer's

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<v Speaker 1>actions as possible, is to get beyond the limitations of

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<v Speaker 1>other types of interfaces. So let's talk about those other

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<v Speaker 1>interfaces for a second to kind of have a comparison here. So,

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<v Speaker 1>in the very early days of computers, like the earliest

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<v Speaker 1>electro mechanical computers, the interface was incredibly complicated. It consisted

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<v Speaker 1>of switches and plugs, so you'd have to physically make

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<v Speaker 1>changes to the machine to run a different calculation. You

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<v Speaker 1>programmed it by physically changing the connections. Operating a computer

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<v Speaker 1>required learning a pretty intricate system, so it was a

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<v Speaker 1>very high barrier to using computers. But on the other hand,

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<v Speaker 1>there were hardly any computers to use, so it wasn't

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<v Speaker 1>like people were stumped all the time. It wasn't like

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<v Speaker 1>you were in the I. T Department looking at a

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<v Speaker 1>manual that was five thousand pages long. There are only

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<v Speaker 1>a few computers in the world at all. Now, gradually

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<v Speaker 1>this gave way to other interface systems, and it first

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<v Speaker 1>they were still incredibly complicated, at least by today's standards.

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<v Speaker 1>The punch cards of yesterday are a really good example.

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<v Speaker 1>You could feed a series of punch cards which represented

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<v Speaker 1>a program, to a computer. The computer would read the

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<v Speaker 1>punch cards, make whatever calculations were indicated by those punch cards,

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<v Speaker 1>and then it might in turn spit out a different

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<v Speaker 1>set of punch cards, or it might light up some

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<v Speaker 1>indicator lights. Maybe if you were lucky, you had a

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<v Speaker 1>printer and it would print out a result. But boy,

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<v Speaker 1>it was still a pretty tough barrier of entry as

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<v Speaker 1>far as computer use was concerned. It wasn't something the

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<v Speaker 1>average person could tackle on his or her own. Now.

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<v Speaker 1>A huge breakthrough was the incorporation of computer displays and keyboards,

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<v Speaker 1>and there were other advances in computers at the time

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<v Speaker 1>that also made a huge difference, like the development of

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<v Speaker 1>operating systems and high level programming languages. And we obviously

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<v Speaker 1>still use keyboards and displace today. So these were really

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<v Speaker 1>sticky types of interfaces so to speak. Actually that could

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<v Speaker 1>be literal if you tend to drink sugary sodas while

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<v Speaker 1>you're computing, but I'm mostly talking about the metaphorical here. Anyway.

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<v Speaker 1>The computer mouse would then expand how we would interact

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<v Speaker 1>with computers, as would the graphic user interface or gooey.

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<v Speaker 1>This would allow us to have new ways to interact

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<v Speaker 1>with our machines, and then we would see further advancements

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<v Speaker 1>like voice recognition systems and touch screen interfaces. It was

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<v Speaker 1>pretty typical that each advance in technology, if it was

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<v Speaker 1>implemented well, would make interactions with computers easier and more natural.

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<v Speaker 1>So when you see a kid look at a screen

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<v Speaker 1>and the kid has never really played with keyboard, mouse

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<v Speaker 1>or even touch screens, yet you might see them reach

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<v Speaker 1>out and try to touch things on the screen, Well,

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<v Speaker 1>that tells you, oh, a touch screen might work better

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<v Speaker 1>for certain things. Maybe not everything, but certain things. And

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<v Speaker 1>then you start to implement that kind of interface in

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<v Speaker 1>low and behold, you see I've created a new way

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<v Speaker 1>to interact with this machine. Well, brain computer interfaces would

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<v Speaker 1>remove even those small gaps between our intent and executing

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<v Speaker 1>a command on a computer. Ideally, you would have a

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<v Speaker 1>non invasive technology, meaning you wouldn't have to have any

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<v Speaker 1>kind of surgery or anything in order to actually use

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<v Speaker 1>this stuff, and that technology would be able to interpret

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<v Speaker 1>your thoughts as commands, and then the computer would carry

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<v Speaker 1>those out, and the computer could potentially send information back

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<v Speaker 1>to you through those same channels that you could interpret

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<v Speaker 1>in some meaningful way. And there are a lot of

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<v Speaker 1>potential uses for this kind of technology, and many of

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<v Speaker 1>those uses are truly noble in their mission. For example,

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<v Speaker 1>and I'll talk a lot about this in this episode,

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<v Speaker 1>it could allow people who have severe mobility issues and

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<v Speaker 1>outlet for interacting with the world around on them that

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<v Speaker 1>they might not otherwise have. With the proper interface, someone

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<v Speaker 1>who is paralyzed and may not be able to move

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<v Speaker 1>or even speak could use the interface to activate commands

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<v Speaker 1>on a computer in order to communicate with others or

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<v Speaker 1>carry out tasks with the help of robotics and automated systems.

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<v Speaker 1>We've actually seen applications of brain computer interfaces do this

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<v Speaker 1>kind of thing already to a limited degree, and frankly,

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<v Speaker 1>it's amazing and inspiring. I I highly recommend you seek

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<v Speaker 1>out stories and videos about these types of projects because

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<v Speaker 1>they are phenomenal. But there are use cases beyond helping

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<v Speaker 1>people gain more autonomy, and some of them are a

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<v Speaker 1>bit well, let's say they're a bit questionable. So let's

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<v Speaker 1>walk down the history of brain computer interfaces and then

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<v Speaker 1>we will revisit these specific examples, as well as what

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<v Speaker 1>is currently going on with Elon Musk and Facebook getting

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<v Speaker 1>into the game. Well before such a thing could even

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<v Speaker 1>be theorized as a brain computer interface, we first had

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<v Speaker 1>to understand more about how the brain itself works. And

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<v Speaker 1>this is a non trivial thing. The brain was largely

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<v Speaker 1>an organ of mystery for a very long time. In

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<v Speaker 1>the late nineteenth century, physicians and scientists were first starting

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<v Speaker 1>to learn that there is electrical activity in the brains

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<v Speaker 1>of mammals. We started to get an understanding that our

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<v Speaker 1>nervous system is an electrochemical system, that electricity and chemicals

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<v Speaker 1>play a very important part in sending messages through this

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<v Speaker 1>system in a very sophisticated way. Now, this was the

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<v Speaker 1>same time that physicists were getting a better understanding about energy,

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<v Speaker 1>and so there was a curiosity about energy in the brain.

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<v Speaker 1>The brain does stuff, It must get energy, it must

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<v Speaker 1>use energy. What is that mechanism? What the physicists of

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<v Speaker 1>the time didn't yet understand was that the brain was

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<v Speaker 1>this electro chemical machine. They didn't have a complete picture yet.

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<v Speaker 1>So for a few decades, research mostly with animals like dogs, rabbits,

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<v Speaker 1>and monkeys, showed that brains generated electrical activity in some fashion,

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<v Speaker 1>and by the early twentieth century we had a rudimentary

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<v Speaker 1>understanding of brain waves. Then Hans Burger, a German psychiatrist

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<v Speaker 1>and physicist, recorded the first human E E G. In

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<v Speaker 1>the mid nineteen twenties. Now, Burger was interested in investigating

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<v Speaker 1>psychical energy in the brain. He was convinced that there

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<v Speaker 1>is some energy beyond what is needed to do quote

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<v Speaker 1>unquote work that would be thinking and operating the human body.

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<v Speaker 1>He never did uncover any sort of psychical energy and

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<v Speaker 1>his research, but his invention of the electro and cephalogram

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<v Speaker 1>would set the stage for neuroscience in the twentieth century.

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<v Speaker 1>And I'll have to do a full episode about Burger

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<v Speaker 1>in the future because he was a really interesting person.

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<v Speaker 1>His life story is full of drama. Now, over the

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<v Speaker 1>next several decades after Burger's invention of the e G,

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<v Speaker 1>or at least the the refining of the e G,

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<v Speaker 1>since there were sort of precursors to the E e

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<v Speaker 1>G before Burger got involved anyway. Over the following years,

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<v Speaker 1>scientists and doctors refined their understanding of electrical activity in

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<v Speaker 1>the brain, and they observed phenomena like R E M sleep.

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<v Speaker 1>They identified different types of brain waves. Neuroscientists also got

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<v Speaker 1>a deeper understanding about what the different parts of the

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<v Speaker 1>brain do and are responsible for, and that gets really

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<v Speaker 1>super complicated. Their sections of the brain that are dedicated

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<v Speaker 1>to very specific tasks and major parts of the brain

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<v Speaker 1>include stuff like the frontal lobe, the parietal lobe, the

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<v Speaker 1>temporal lobe, the occipital lobe, cerebellum, and more. And I

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<v Speaker 1>am no neuroscientist, and to go into deep detail on

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<v Speaker 1>all of these parts would necessitate at least a couple

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<v Speaker 1>of episodes plus an expert on the subject matter. So

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<v Speaker 1>I'm just gonna leave the general discussion of the brain

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<v Speaker 1>with an acknowledgement that they are really complicated. Now, there's

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<v Speaker 1>still a ton that we don't know about the brain,

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<v Speaker 1>and probably there's stuff we don't know that we don't

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<v Speaker 1>know but we've made a lot of progress, which has

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<v Speaker 1>led to some enterprising researchers, scientists, and technologists to look

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<v Speaker 1>into ways to create an interface between the machine in

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<v Speaker 1>our heads and the computers around us. In the nineteen sixties,

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<v Speaker 1>a neurophysicist named William gray Walter demonstrated that the electrical

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<v Speaker 1>signals and brains could do useful work outside of our noggins.

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<v Speaker 1>And it was a fairly primitive demonstration, but an effective one.

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<v Speaker 1>He had subjects who had electrode implants for e g s.

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<v Speaker 1>By the way, e g s can either involve having

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<v Speaker 1>surgical implants of electrodes or electrodes that are part of

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<v Speaker 1>you know, the sticky pads that stick against the scalp.

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<v Speaker 1>They have to be positioned in very precise places. But

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<v Speaker 1>you can have invasive or non invasive e g s.

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<v Speaker 1>What William gray Walter was working with were the invasive types.

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<v Speaker 1>So he had these people who are wired up e

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<v Speaker 1>g s and they were navigating through a slide show

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<v Speaker 1>with an old slide show projector, and they were using

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<v Speaker 1>a remote control to advance to the next slide. So

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<v Speaker 1>when they were done looking at a slide, or if

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<v Speaker 1>they were told to go to the next slide. They

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<v Speaker 1>would push a button and it would go to the

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<v Speaker 1>next slide. But what Walter didn't tell these people who

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<v Speaker 1>had their e g s hooked up to the system

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<v Speaker 1>was that the remote control was a nert it. It

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<v Speaker 1>didn't work at all. It was just a dummy remote. Rather,

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<v Speaker 1>when the subject's brain sent the command I'm going to

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<v Speaker 1>use the remote now, the electrodes would pick up that

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<v Speaker 1>brain activity and it would send those signals onto an amplifier,

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<v Speaker 1>which would boost the signal enough to send a command

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<v Speaker 1>to go to the next slide to the projector. It's

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<v Speaker 1>a very simple one, just the same sort of electrical

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<v Speaker 1>impulse that the projector would get if you push the

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<v Speaker 1>button now. The subjects reportedly were startled by this experience

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<v Speaker 1>because frequently they would make the decision that they were

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<v Speaker 1>going to go to the next slide, and they would

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<v Speaker 1>be in the process of pushing the button when the

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<v Speaker 1>slide would change in advance before they had pushed the button.

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<v Speaker 1>They said it started to feel like the slide projector

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<v Speaker 1>had anticipated their action. It had guessed that they were

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<v Speaker 1>ready to move on even though they had not yet

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<v Speaker 1>pushed the button. And in a way, that's exactly what

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<v Speaker 1>it had done, or rather it was able to act

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<v Speaker 1>faster than the subject was, and it raised some really

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<v Speaker 1>interesting questions about consciousness because the implication was that we

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<v Speaker 1>can arrive at a decision to do something before we

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<v Speaker 1>are actually aware of the decision we have made. And

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<v Speaker 1>so in theory, if you have a brain computer interface,

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<v Speaker 1>you might get the sensation that you're working with a

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<v Speaker 1>machine that's actually anticipating what you want to do before

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<v Speaker 1>you are aware that you wanted to do it, which

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<v Speaker 1>is both kind of creepy and amazing. Now, in reality,

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<v Speaker 1>it's because you wanted to do that thing, but your

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<v Speaker 1>awareness of your desire hasn't caught up yet. It's brains

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<v Speaker 1>are funny things. It's also possible that because of those

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<v Speaker 1>implanted electrodes, which can detect activity and relatively small regions

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<v Speaker 1>of the brain, allowed for more precision when looking for

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<v Speaker 1>signals that would indicate I'm going to push the button,

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<v Speaker 1>rather than signals that would indicate something like blink now

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<v Speaker 1>or eat soon or whatever. So, in other words, it's

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<v Speaker 1>very important to target the neurons that are going to

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<v Speaker 1>be responsible for whatever activity you're looking for. You can't

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<v Speaker 1>just have, you know, a general brain reading device that's

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<v Speaker 1>looking for any electrical activity in the brain. There's always

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<v Speaker 1>electrical activity in the brain, so you have to be

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<v Speaker 1>looking for precise activity, or else you would have a

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<v Speaker 1>system that's constantly activating under no particular impulse. Jacques J.

0:14:39.200 --> 0:14:45.520
<v Speaker 1>Vidal coined the phrase brain computer interface in nineteen The

0:14:45.680 --> 0:14:49.080
<v Speaker 1>DOLL presented a plan towards establishing the technology for such

0:14:49.200 --> 0:14:52.479
<v Speaker 1>an interface at the University of California at Los Angeles.

0:14:53.280 --> 0:14:56.160
<v Speaker 1>And it should come as no surprise that one of

0:14:56.200 --> 0:14:59.920
<v Speaker 1>the big organizations that has funded a lot of research

0:15:00.080 --> 0:15:04.720
<v Speaker 1>into brain computer interfaces is DARPA, or the Defense Advanced

0:15:04.720 --> 0:15:07.920
<v Speaker 1>Research Projects Agency in the United States. This is the

0:15:07.960 --> 0:15:10.560
<v Speaker 1>part of the Department of Defense that oversees money that

0:15:10.640 --> 0:15:13.640
<v Speaker 1>can be granted to projects that relate back to national

0:15:13.720 --> 0:15:18.200
<v Speaker 1>security and defense strategies for the United States. Sometimes these

0:15:18.240 --> 0:15:22.040
<v Speaker 1>projects have an obvious connection to national defense, such as

0:15:22.080 --> 0:15:26.040
<v Speaker 1>research into new types of weaponry. Other times the connection

0:15:26.120 --> 0:15:28.720
<v Speaker 1>might not be quite as clear, such as the DARPA

0:15:28.800 --> 0:15:33.720
<v Speaker 1>Grand challenges that help bootstrap the development of driverless car technologies.

0:15:34.080 --> 0:15:37.320
<v Speaker 1>But I think you could agree that brain computer interfaces,

0:15:37.960 --> 0:15:40.480
<v Speaker 1>you could think of a lot of different potential uses

0:15:40.680 --> 0:15:45.760
<v Speaker 1>to augment national defense with that kind of technology. So

0:15:45.880 --> 0:15:48.960
<v Speaker 1>DARPA has funded a ton of research into BC eyes

0:15:49.240 --> 0:15:52.480
<v Speaker 1>and much of that work has had incredible results. Now

0:15:52.520 --> 0:15:54.840
<v Speaker 1>I'm not just talking about device that would let you control,

0:15:55.160 --> 0:15:58.640
<v Speaker 1>say a computer cursor with your mind, but technologies that

0:15:58.680 --> 0:16:03.240
<v Speaker 1>would help people regain lost senses like hearing or vision.

0:16:03.560 --> 0:16:06.480
<v Speaker 1>And it's all through stimulating neurons in specific ways, so

0:16:06.520 --> 0:16:11.040
<v Speaker 1>it becomes a bidirectional communications channel. It's incredible stuff. And

0:16:11.120 --> 0:16:14.120
<v Speaker 1>again the subject matter is vast and it would require

0:16:14.240 --> 0:16:16.880
<v Speaker 1>lots of episodes. But the bit I wanted to focus

0:16:16.920 --> 0:16:19.880
<v Speaker 1>on in the early history was a project in nineteen

0:16:20.000 --> 0:16:23.520
<v Speaker 1>seventy four. It was called the Close Coupled Man Machine

0:16:23.560 --> 0:16:26.880
<v Speaker 1>Systems Project, and later on it would undergo a name change.

0:16:26.920 --> 0:16:30.840
<v Speaker 1>It would become known as bio cybernetics. To quote the article,

0:16:31.320 --> 0:16:34.640
<v Speaker 1>DARPA funded efforts in the development of novel brain computer

0:16:34.720 --> 0:16:39.080
<v Speaker 1>interface technologies in the April two thousand, fifteen Journal of

0:16:39.120 --> 0:16:44.520
<v Speaker 1>Neuroscience Methods. Quote. This program investigated the application of human

0:16:44.520 --> 0:16:49.560
<v Speaker 1>physiological signals, including brain signals as measured non invasively using

0:16:49.560 --> 0:16:53.520
<v Speaker 1>either E E G or magneto and cephalography m EG,

0:16:53.960 --> 0:16:57.760
<v Speaker 1>to enable direct communication between humans and machines, and to

0:16:57.840 --> 0:17:04.159
<v Speaker 1>monitor neural states associated with vigilance, fatigue, emotions, decision making, perception,

0:17:04.440 --> 0:17:08.920
<v Speaker 1>and general cognitive ability. The program yielded notable advancements such

0:17:08.960 --> 0:17:13.159
<v Speaker 1>as detailed understanding of single trial sensory evoked responses in

0:17:13.200 --> 0:17:16.600
<v Speaker 1>the e g. Of human participants. These efforts demonstrated that

0:17:16.640 --> 0:17:20.680
<v Speaker 1>neural activity in response to visual checkerboard stimuli alternating at

0:17:20.680 --> 0:17:24.000
<v Speaker 1>different frequencies at each of four fixation points could be

0:17:24.080 --> 0:17:27.560
<v Speaker 1>decoded in real time and used to navigate a cursor

0:17:27.760 --> 0:17:33.440
<v Speaker 1>through a simple maze. End quote. Fascinating stuff. Now we're

0:17:33.480 --> 0:17:35.520
<v Speaker 1>gonna take a quick break, but when we come back,

0:17:35.840 --> 0:17:37.840
<v Speaker 1>I'll give a little bit more about the history and

0:17:37.880 --> 0:17:50.359
<v Speaker 1>talk about the different approaches to brain computer interfaces. Now

0:17:50.359 --> 0:17:53.399
<v Speaker 1>to detail every bc I project since the early nineteen

0:17:53.480 --> 0:17:58.320
<v Speaker 1>seventies would take us hours. There have been countless. Some

0:17:58.440 --> 0:18:01.800
<v Speaker 1>of them have led to amazing sets and breakthroughs, some

0:18:02.040 --> 0:18:05.800
<v Speaker 1>revealed frustrating barriers and challenges that we've yet to overcome.

0:18:06.160 --> 0:18:08.439
<v Speaker 1>I'll talk about a few more examples in a moment,

0:18:08.600 --> 0:18:11.560
<v Speaker 1>and I should stress that I'm just kind of arbitrarily

0:18:11.720 --> 0:18:14.720
<v Speaker 1>picking these examples because there's been so much amazing work

0:18:14.720 --> 0:18:17.240
<v Speaker 1>in this field. But before I get into that, I

0:18:17.280 --> 0:18:19.560
<v Speaker 1>want to talk about one of the biggest challenges in

0:18:19.600 --> 0:18:22.840
<v Speaker 1>the way of a robust brain computer interface, and that's

0:18:22.920 --> 0:18:27.640
<v Speaker 1>reading the signals of the brain reliably. So there are

0:18:27.680 --> 0:18:31.080
<v Speaker 1>two broad categories you can consider when it comes to

0:18:31.160 --> 0:18:35.359
<v Speaker 1>monitoring brain activity, and those would be invasive methods and

0:18:35.440 --> 0:18:40.280
<v Speaker 1>non invasive methods, or surgical and non surgical. Typically, though

0:18:40.520 --> 0:18:44.399
<v Speaker 1>there are some methods that are considered non invasive that

0:18:44.600 --> 0:18:48.040
<v Speaker 1>still involve implanting stuff into the brain, it's just it

0:18:48.119 --> 0:18:51.920
<v Speaker 1>tends to be through less invasive procedures like an injection

0:18:51.960 --> 0:18:55.520
<v Speaker 1>as opposed to brain surgery. And uh yeah, But generally

0:18:55.520 --> 0:18:58.760
<v Speaker 1>we're talking about technology that has to be surgically implanted

0:18:58.760 --> 0:19:01.280
<v Speaker 1>on the brain, or to anology that can monitor brain

0:19:01.320 --> 0:19:05.000
<v Speaker 1>activity without first having to you know, crack open a skull.

0:19:05.440 --> 0:19:07.880
<v Speaker 1>And as you can imagine, this is a pretty big

0:19:07.880 --> 0:19:11.280
<v Speaker 1>difference right between these categories. So let's break down the

0:19:11.320 --> 0:19:14.040
<v Speaker 1>pros and cons of each of them. So the cons

0:19:14.080 --> 0:19:17.920
<v Speaker 1>with invasive approaches are pretty darn easy to anticipate, right,

0:19:17.960 --> 0:19:21.080
<v Speaker 1>I mean, we use brain surgery as a stand in

0:19:21.200 --> 0:19:25.360
<v Speaker 1>for any activity that requires an incredible amount of knowledge, understanding,

0:19:25.400 --> 0:19:28.280
<v Speaker 1>and skill to perform. It's right out there with rocket science.

0:19:28.880 --> 0:19:32.159
<v Speaker 1>We do that because we know brain surgery is freaking hard,

0:19:32.560 --> 0:19:34.919
<v Speaker 1>it's risky, and I think it's safe to say that

0:19:34.920 --> 0:19:37.640
<v Speaker 1>the vast majority of people out there aren't too keen

0:19:37.800 --> 0:19:41.560
<v Speaker 1>to undergo a surgical procedure unless the potential benefits are

0:19:41.600 --> 0:19:47.080
<v Speaker 1>truly impressive, maybe life saving or life changing. Invasive methods

0:19:47.280 --> 0:19:51.720
<v Speaker 1>typically involve either implanting electrodes directly into brain matter or

0:19:51.800 --> 0:19:55.880
<v Speaker 1>using small sensor pads that essentially stick to the exterior

0:19:55.960 --> 0:19:59.520
<v Speaker 1>of the brain. Implanting electrodes comes with its own set

0:19:59.520 --> 0:20:01.960
<v Speaker 1>of challenge is and one is that it can cause

0:20:02.119 --> 0:20:05.240
<v Speaker 1>scarring in the brain, and if scar tissue forms near

0:20:05.280 --> 0:20:08.240
<v Speaker 1>the electrode, it can interfere with the electrodes ability to

0:20:08.280 --> 0:20:11.600
<v Speaker 1>pick up that electrical activity from neurons, so the scarring

0:20:11.680 --> 0:20:14.080
<v Speaker 1>process can prevent the electrodes from being able to do

0:20:14.160 --> 0:20:18.000
<v Speaker 1>their jobs. Another challenge is that sometimes an electrode could

0:20:18.040 --> 0:20:21.080
<v Speaker 1>shift slightly in the brain, and even a small shift

0:20:21.080 --> 0:20:22.920
<v Speaker 1>could mean the electrode would no longer be able to

0:20:22.960 --> 0:20:26.159
<v Speaker 1>pick up signals from the targeted neurons. There have been

0:20:26.200 --> 0:20:30.320
<v Speaker 1>some impressive advancements in getting around these challenges. Philip our

0:20:30.440 --> 0:20:33.640
<v Speaker 1>Kennedy of Emory University, which is just down the road

0:20:33.720 --> 0:20:37.119
<v Speaker 1>from our office in Atlanta, developed a neural electrode with

0:20:37.200 --> 0:20:41.360
<v Speaker 1>a tip encased in a tiny glass cone. Neurons would

0:20:41.359 --> 0:20:45.560
<v Speaker 1>actually grow into the cone and reach the electrode. The

0:20:45.600 --> 0:20:48.800
<v Speaker 1>cone helped protect the electrode from scarring, and the neurons

0:20:48.800 --> 0:20:52.200
<v Speaker 1>growing into the cone helped it resist any shifting. Kennedy

0:20:52.240 --> 0:20:54.679
<v Speaker 1>worked with a few patients to test the design and

0:20:54.760 --> 0:20:58.880
<v Speaker 1>work out actual useful brain computer interactions. One of those

0:20:58.880 --> 0:21:02.200
<v Speaker 1>patients was a man named Johnny Ray, a man who

0:21:02.320 --> 0:21:06.560
<v Speaker 1>was nearly immobile and incapable of communication after a severe stroke.

0:21:07.119 --> 0:21:12.400
<v Speaker 1>Surgeons implanted electrodes in Ray's brain in March, and Ray

0:21:12.520 --> 0:21:15.280
<v Speaker 1>learned how to move a cursor on a screen. He

0:21:15.359 --> 0:21:18.280
<v Speaker 1>was imagining that he was moving the cursor with his

0:21:18.400 --> 0:21:21.719
<v Speaker 1>hand like he was making hand movements, or imagining that

0:21:21.800 --> 0:21:25.000
<v Speaker 1>because he didn't have that capability anymore. He later learned

0:21:25.040 --> 0:21:27.560
<v Speaker 1>to move a cursor on a screen to highlight letters,

0:21:27.880 --> 0:21:30.879
<v Speaker 1>and then he would click on them like with a mouse,

0:21:31.080 --> 0:21:33.399
<v Speaker 1>except he did it by twitching his shoulders, one of

0:21:33.400 --> 0:21:36.479
<v Speaker 1>the few muscle movements he could still do. When he

0:21:36.520 --> 0:21:39.000
<v Speaker 1>was asked by the media what he felt when he

0:21:39.040 --> 0:21:43.040
<v Speaker 1>moved the cursor, he spelled out the word nothing, which

0:21:43.200 --> 0:21:46.760
<v Speaker 1>doctors actually interpreted to mean that Ray no longer had

0:21:46.800 --> 0:21:50.360
<v Speaker 1>to even imagine moving his hand anymore. His brain had

0:21:50.359 --> 0:21:54.000
<v Speaker 1>become trained to move the cursor through thought alone without

0:21:54.040 --> 0:21:57.320
<v Speaker 1>having to have the hand as sort of an intermediate step.

0:21:58.040 --> 0:22:00.840
<v Speaker 1>And this highlights one of the biggest ed vantages that

0:22:00.880 --> 0:22:05.600
<v Speaker 1>the invasive methodology has over the non invasive version. Implants

0:22:05.640 --> 0:22:08.159
<v Speaker 1>have a more direct path to the neurons that they

0:22:08.200 --> 0:22:11.800
<v Speaker 1>are monitoring. They are more precise, they're more finely attuned.

0:22:12.200 --> 0:22:15.680
<v Speaker 1>They can pick up signals much more easily. Brown University

0:22:15.760 --> 0:22:20.160
<v Speaker 1>professor John P. Donohue is another pioneer using electrode implants

0:22:20.200 --> 0:22:23.520
<v Speaker 1>as part of research into brain computer interfaces. His team

0:22:23.560 --> 0:22:27.280
<v Speaker 1>created a system called brain Gate, which initially had ninety

0:22:27.359 --> 0:22:30.600
<v Speaker 1>six electrodes arrayed on a small implant, and by small

0:22:30.600 --> 0:22:34.080
<v Speaker 1>immunit measures about four millimeters per side. It's about the

0:22:34.080 --> 0:22:37.040
<v Speaker 1>size of a baby aspirin. As Science Daily put it,

0:22:37.680 --> 0:22:40.959
<v Speaker 1>the stories about brain Gate are pretty inspiring. People who

0:22:41.000 --> 0:22:44.080
<v Speaker 1>have become paralyzed have undergone the surgical procedure to have

0:22:44.160 --> 0:22:47.480
<v Speaker 1>the electrode array implanted in their brains, then they have

0:22:47.560 --> 0:22:50.760
<v Speaker 1>gone through an extensive training period to learn how to

0:22:50.920 --> 0:22:54.880
<v Speaker 1>use this technology. In that training period, they learn how

0:22:54.880 --> 0:22:57.960
<v Speaker 1>to control some exterior technology with their thoughts. It might

0:22:58.000 --> 0:23:00.880
<v Speaker 1>be a cursor on a screen, giving them the ability

0:23:00.920 --> 0:23:04.200
<v Speaker 1>to communicate and run applications kind of like a computer mouse.

0:23:04.960 --> 0:23:07.840
<v Speaker 1>It could be a robotic limb. And on top of that,

0:23:08.160 --> 0:23:10.800
<v Speaker 1>there's been work to create systems that can replicate a

0:23:10.840 --> 0:23:14.520
<v Speaker 1>sense of touch in the user. So not only can

0:23:14.560 --> 0:23:17.160
<v Speaker 1>the person with the implants in commands to an external

0:23:17.160 --> 0:23:21.120
<v Speaker 1>piece of technology, they can also experience tactile feedback as

0:23:21.160 --> 0:23:24.400
<v Speaker 1>if that external tech was one of their natural limbs.

0:23:24.400 --> 0:23:27.119
<v Speaker 1>So a person outfitted with a robotic arm connected to

0:23:27.160 --> 0:23:29.960
<v Speaker 1>this type of interface could not just pick stuff up,

0:23:30.080 --> 0:23:33.160
<v Speaker 1>which is already phenomenal with a robotic limb, they could

0:23:33.200 --> 0:23:36.880
<v Speaker 1>actually feel how tightly they were holding the thing they

0:23:36.880 --> 0:23:39.520
<v Speaker 1>picked up, and that becomes really important for things like

0:23:39.600 --> 0:23:43.199
<v Speaker 1>fine motor skills. And this is incredible stuff. But I

0:23:43.200 --> 0:23:46.920
<v Speaker 1>would still argue that it's fairly primitive in the sense

0:23:46.960 --> 0:23:49.679
<v Speaker 1>that I think we're just at the very dawn of

0:23:49.680 --> 0:23:53.840
<v Speaker 1>being able to harness this type of technology that we

0:23:53.840 --> 0:23:57.000
<v Speaker 1>We've made some incredible strides, but there's a long way

0:23:57.040 --> 0:24:01.200
<v Speaker 1>to go. Now, let's get back to the non invasive approach.

0:24:01.440 --> 0:24:03.879
<v Speaker 1>So a clear advantage here is that you don't have

0:24:03.920 --> 0:24:07.080
<v Speaker 1>to have any sort of surgical procedure to make use

0:24:07.119 --> 0:24:11.359
<v Speaker 1>of noninvasive technology. And an e G can be an

0:24:11.400 --> 0:24:14.480
<v Speaker 1>example of a noninvasive approach. Right, you just have those

0:24:14.720 --> 0:24:18.400
<v Speaker 1>electrodes that you slap onto your scalp, but you don't

0:24:18.440 --> 0:24:22.840
<v Speaker 1>have to have a transcranial system. Uh So you can't

0:24:22.840 --> 0:24:25.720
<v Speaker 1>have e G s that are transcranial, meaning that they

0:24:25.880 --> 0:24:28.359
<v Speaker 1>it requires brain surgery and you have wires that stick

0:24:28.400 --> 0:24:31.440
<v Speaker 1>out through your cranium, through your skull. But you can

0:24:31.480 --> 0:24:35.359
<v Speaker 1>have noninvasive ones too. But even with the electrodes on

0:24:35.400 --> 0:24:37.640
<v Speaker 1>the scalp, we run into other problems, and a big

0:24:37.680 --> 0:24:39.960
<v Speaker 1>one is that the signals in our brains aren't really

0:24:40.000 --> 0:24:44.920
<v Speaker 1>that strong electrically speaking, and their skulls are fairly decent

0:24:44.960 --> 0:24:48.399
<v Speaker 1>at muffling those signals. Plus, if we're moving around a

0:24:48.400 --> 0:24:51.399
<v Speaker 1>lot having the rig we're using it, it needs to

0:24:51.440 --> 0:24:56.760
<v Speaker 1>remain steady because otherwise we might end up misaligning things

0:24:56.760 --> 0:25:00.119
<v Speaker 1>and again we end up reading the wrong neurons, and

0:25:00.160 --> 0:25:02.960
<v Speaker 1>then an irrelevant brain signal could initiate a command that

0:25:03.000 --> 0:25:07.400
<v Speaker 1>we weren't intending to send. That's obviously a big challenge.

0:25:07.960 --> 0:25:10.520
<v Speaker 1>Now we can get a really good look at what's

0:25:10.520 --> 0:25:14.880
<v Speaker 1>going on inside the brain using noninvasive technology like an

0:25:15.000 --> 0:25:17.960
<v Speaker 1>m r I, But in an m r I requires

0:25:17.960 --> 0:25:21.600
<v Speaker 1>a person to lay very still inside a very large

0:25:21.680 --> 0:25:25.000
<v Speaker 1>and very noisy machine for quite a long time, so

0:25:25.040 --> 0:25:27.160
<v Speaker 1>it's not a practical solution. If you want to build

0:25:27.200 --> 0:25:30.480
<v Speaker 1>a brain computer interface for day to day use. There's

0:25:30.520 --> 0:25:33.040
<v Speaker 1>a lot of work going into finding a methodology to

0:25:33.119 --> 0:25:37.560
<v Speaker 1>read brain signals, either directly or indirectly through noninvasive means.

0:25:38.000 --> 0:25:40.240
<v Speaker 1>Getting a method to a point where the precision and

0:25:40.320 --> 0:25:45.240
<v Speaker 1>accuracy rivals the implanted electrodes is a non trivial challenge.

0:25:45.440 --> 0:25:49.080
<v Speaker 1>DARPA is funding a lot of research into that area. However,

0:25:49.320 --> 0:25:51.480
<v Speaker 1>it stands to reason that if the agency wants to

0:25:51.600 --> 0:25:55.080
<v Speaker 1>use bc I technology for divinse purposes, it would be

0:25:55.160 --> 0:25:58.399
<v Speaker 1>ideal to have a version that doesn't require the user

0:25:58.440 --> 0:26:01.320
<v Speaker 1>to first undergo a surgical for seizure. In May two

0:26:01.320 --> 0:26:04.560
<v Speaker 1>thousand nineteen, the agency announced it was working with six

0:26:04.640 --> 0:26:08.679
<v Speaker 1>different teams to explore non invasive bc I strategies and

0:26:08.760 --> 0:26:13.720
<v Speaker 1>what was called the next generation non Surgical neuro Technology

0:26:13.840 --> 0:26:18.240
<v Speaker 1>or in three program. Included in those teams are people

0:26:18.280 --> 0:26:23.320
<v Speaker 1>from Carnegie Mellon University, the Palo Alto Research Center or Park,

0:26:23.880 --> 0:26:28.320
<v Speaker 1>and Telendyne Scientific among others, and the proposals are really interesting.

0:26:28.760 --> 0:26:34.720
<v Speaker 1>One from Battel Memorial Institute proposes electro magnetic neuro transducers

0:26:34.800 --> 0:26:39.040
<v Speaker 1>that are quote non surgically delivered to neurons of interest

0:26:39.280 --> 0:26:42.679
<v Speaker 1>into quote. They will then take electrical signals from the

0:26:42.760 --> 0:26:46.240
<v Speaker 1>neurons and convert them into magnetic signals, which could then

0:26:46.280 --> 0:26:49.679
<v Speaker 1>be picked up by an external transceiver, and the neuro

0:26:49.720 --> 0:26:53.600
<v Speaker 1>transducers could also perform the same process in reverse, taking

0:26:53.720 --> 0:26:58.400
<v Speaker 1>incoming magnetic fields or magnetic fluctuations and transmitting them as

0:26:58.440 --> 0:27:01.320
<v Speaker 1>electric signals to neurons and the brain, so it could

0:27:01.400 --> 0:27:06.640
<v Speaker 1>be bi directional. Other methods including acousto optical approach, which

0:27:06.640 --> 0:27:10.919
<v Speaker 1>means the team responsible plans to use ultrasonic signals to

0:27:10.960 --> 0:27:14.160
<v Speaker 1>guide light into the brain to detect a neural activity.

0:27:14.880 --> 0:27:18.160
<v Speaker 1>There's a similar one, but it would use magnetic fields

0:27:18.280 --> 0:27:21.439
<v Speaker 1>rather than light, while still using ultrasonic signals to generate

0:27:21.800 --> 0:27:26.120
<v Speaker 1>localized electric currents in the brain. It's all really fascinating stuff,

0:27:26.560 --> 0:27:30.320
<v Speaker 1>and it also quickly gets beyond my understanding of neuroscience

0:27:30.320 --> 0:27:32.560
<v Speaker 1>and physics, so I won't spend a whole lot more

0:27:32.560 --> 0:27:36.359
<v Speaker 1>time talking about them, but they are pretty darn nifty.

0:27:36.480 --> 0:27:39.800
<v Speaker 1>In the meantime, researchers have been relying on the established

0:27:39.800 --> 0:27:41.840
<v Speaker 1>E e G. Technology to do a lot of the

0:27:41.880 --> 0:27:45.600
<v Speaker 1>groundwork for a noninvasive approach, but as I mentioned, that

0:27:45.600 --> 0:27:48.080
<v Speaker 1>has some big limitations to it, so it's just a

0:27:48.160 --> 0:27:51.320
<v Speaker 1>stepping stone, and there are other groups looking at different

0:27:51.359 --> 0:27:54.399
<v Speaker 1>ways to measure brain activity for the purposes of an interface.

0:27:54.600 --> 0:27:57.240
<v Speaker 1>Finding a method is replicable and accurate is still a

0:27:57.280 --> 0:28:00.280
<v Speaker 1>really hard thing to do, whether it's looking specific fickly

0:28:00.320 --> 0:28:03.320
<v Speaker 1>at neuron activity or maybe something like keeping tabs on

0:28:03.440 --> 0:28:06.400
<v Speaker 1>changes in blood flow in the brain, so you're looking

0:28:06.440 --> 0:28:09.440
<v Speaker 1>at sort of an indirect indicator in those cases. At

0:28:09.440 --> 0:28:12.320
<v Speaker 1>the same time, researchers are starting to rely upon machine

0:28:12.400 --> 0:28:15.520
<v Speaker 1>learning strategies to help train the technology to determine whether

0:28:15.640 --> 0:28:18.520
<v Speaker 1>or not any particular signal is a real hit or

0:28:18.560 --> 0:28:23.000
<v Speaker 1>a false flag. So this is actually a multidisciplinary endeavor.

0:28:23.040 --> 0:28:26.560
<v Speaker 1>It's going to rely on many different technologies as well

0:28:26.600 --> 0:28:30.960
<v Speaker 1>as our understanding of neuroscience, which continues to grow. Okay,

0:28:31.000 --> 0:28:33.280
<v Speaker 1>so we know about the tech and we know a

0:28:33.280 --> 0:28:36.840
<v Speaker 1>bit about history. We know that still in fairly early

0:28:36.920 --> 0:28:39.840
<v Speaker 1>stages of development. When we come back, I'll talk about

0:28:39.840 --> 0:28:43.960
<v Speaker 1>Elon Musk, Facebook, and brain computer interfaces. But first let's

0:28:43.960 --> 0:28:55.040
<v Speaker 1>take another quick break. So in July two thousand nineteen,

0:28:55.440 --> 0:28:58.400
<v Speaker 1>one of the many tech stories to come out about

0:28:58.480 --> 0:29:01.680
<v Speaker 1>Elon Musk, because there's never a shortage of them, had

0:29:01.720 --> 0:29:05.800
<v Speaker 1>to do with the startup company Neuralalink. Now, for some people,

0:29:05.920 --> 0:29:08.240
<v Speaker 1>this was the first they had ever heard of Musk's

0:29:08.280 --> 0:29:11.800
<v Speaker 1>interest in creating a brain computer interface, but in fact

0:29:11.960 --> 0:29:13.920
<v Speaker 1>he had been talking about this kind of thing since

0:29:13.960 --> 0:29:17.400
<v Speaker 1>at least two thousand and sixteen. At the CODE Conference

0:29:17.480 --> 0:29:19.720
<v Speaker 1>of two thousand and sixteen, he talked about a ton

0:29:19.760 --> 0:29:24.760
<v Speaker 1>of stuff, including a technology called neural lace. Neural lace

0:29:24.880 --> 0:29:28.160
<v Speaker 1>is a term for a mesh of electrodes that could

0:29:28.240 --> 0:29:31.880
<v Speaker 1>graft into the brain through a simple injection in the

0:29:32.400 --> 0:29:37.000
<v Speaker 1>ideal implementation, so no full brain surgery was would be needed,

0:29:37.480 --> 0:29:40.640
<v Speaker 1>and ideally it would be wireless and offer the chance

0:29:40.680 --> 0:29:44.280
<v Speaker 1>to interact with computer systems through thought alone, which is

0:29:44.280 --> 0:29:48.320
<v Speaker 1>pretty nifty, but it's also essentially science fiction, at least

0:29:48.400 --> 0:29:52.000
<v Speaker 1>in that incarnation. Not that the idea has no merit,

0:29:52.280 --> 0:29:55.560
<v Speaker 1>but rather, we hadn't any real clue on how to

0:29:55.640 --> 0:29:58.520
<v Speaker 1>go about doing it. Yet it's only a little bit

0:29:58.560 --> 0:30:00.480
<v Speaker 1>better than saying, you know, it's sure would be nice

0:30:00.520 --> 0:30:05.040
<v Speaker 1>if we had teleporters. Well, yeah, it would be nice,

0:30:05.560 --> 0:30:08.080
<v Speaker 1>But that doesn't mean we can suddenly build teleporters just

0:30:08.120 --> 0:30:10.760
<v Speaker 1>because it would be nice to have them now. In

0:30:10.800 --> 0:30:15.160
<v Speaker 1>two thousand sixteen, Musk said he was interested in developing

0:30:15.200 --> 0:30:18.280
<v Speaker 1>this neural lace technology and if nobody else was going

0:30:18.320 --> 0:30:21.120
<v Speaker 1>to pursue it, he would do it himself, meaning he

0:30:21.160 --> 0:30:24.800
<v Speaker 1>would fund it himself. The next year, two thousand seventeen,

0:30:24.840 --> 0:30:27.400
<v Speaker 1>for those keeping score, he announced he was backing a

0:30:27.440 --> 0:30:31.120
<v Speaker 1>startup called Neuralalink, which would attempt to bring this dream

0:30:31.200 --> 0:30:33.520
<v Speaker 1>to life. Musk said at the time that one of

0:30:33.520 --> 0:30:36.720
<v Speaker 1>the biggest challenges was around bandwidth, or how much data

0:30:36.800 --> 0:30:39.880
<v Speaker 1>can pass through an interface in a given amount of time.

0:30:40.160 --> 0:30:44.360
<v Speaker 1>I would argue that challenge it is a big one,

0:30:44.880 --> 0:30:47.920
<v Speaker 1>but it's further down the road than some of the

0:30:48.000 --> 0:30:51.560
<v Speaker 1>more immediate challenges. So why did Musk say that, I'll

0:30:51.600 --> 0:30:54.760
<v Speaker 1>get to that. The two thousand nineteen announcement was all

0:30:54.800 --> 0:30:57.720
<v Speaker 1>about giving a few more details about the general plan

0:30:57.840 --> 0:31:01.680
<v Speaker 1>to achieve this science fiction vision. And Neuralink is working

0:31:01.680 --> 0:31:05.720
<v Speaker 1>to create flexible threads of electrodes, and each thread would

0:31:05.760 --> 0:31:09.400
<v Speaker 1>have essentially an electrode array with a potential density of

0:31:09.520 --> 0:31:14.000
<v Speaker 1>three thousand, seventy two electrodes distributed across ninety six threads.

0:31:14.360 --> 0:31:18.000
<v Speaker 1>Now by comparison, brain Gates array had a hundred twenty

0:31:18.080 --> 0:31:22.240
<v Speaker 1>eight electrode channels in it, so this would be much

0:31:22.240 --> 0:31:26.080
<v Speaker 1>more dense. The threads themselves would only measure a few

0:31:26.160 --> 0:31:29.400
<v Speaker 1>microns in width and would be very very flexible, which

0:31:29.440 --> 0:31:32.680
<v Speaker 1>would hopefully cut down on the possibility of them shifting.

0:31:33.240 --> 0:31:35.160
<v Speaker 1>They would be able to to move with the brain

0:31:35.200 --> 0:31:39.840
<v Speaker 1>instead of remaining still with comparison to the brain and

0:31:39.880 --> 0:31:43.200
<v Speaker 1>Neuralink has worked on a robotic device that would automatically

0:31:43.200 --> 0:31:46.080
<v Speaker 1>embed the threads into the brain of a recipient. This

0:31:46.120 --> 0:31:49.960
<v Speaker 1>would require surgery. According to the Verge, this robotic device

0:31:50.040 --> 0:31:53.160
<v Speaker 1>looks like a cross between a microscope and a sewing

0:31:53.200 --> 0:31:57.560
<v Speaker 1>machine and it can implant up to six threads per minute. Now.

0:31:57.640 --> 0:31:59.960
<v Speaker 1>Musque stated the reason he was talking about neuralinks were

0:32:00.080 --> 0:32:03.000
<v Speaker 1>at the time was largely as a recruiting strategy to

0:32:03.040 --> 0:32:06.719
<v Speaker 1>get more talent to apply to work on the Neuralink team,

0:32:06.760 --> 0:32:09.360
<v Speaker 1>and his end goal is not to help those who

0:32:09.440 --> 0:32:13.800
<v Speaker 1>have severe mobility and communication limitations gained some autonomy, although

0:32:14.000 --> 0:32:16.520
<v Speaker 1>they will be some of the people that would first

0:32:16.840 --> 0:32:21.120
<v Speaker 1>be exposed to this technology. Instead, it's to create a

0:32:21.160 --> 0:32:25.120
<v Speaker 1>bridge between humanity and AI. And this might be why

0:32:25.200 --> 0:32:29.160
<v Speaker 1>Musk was talking about that barrier, that bandwidth barrier, because

0:32:29.520 --> 0:32:32.560
<v Speaker 1>for there to be a meaningful exchange of data, you

0:32:32.600 --> 0:32:35.080
<v Speaker 1>need to be able to move a lot of information

0:32:35.200 --> 0:32:39.000
<v Speaker 1>very quickly back and forth. Presumably, and Musk has made

0:32:39.000 --> 0:32:42.080
<v Speaker 1>it pretty clear that he is concerned about the possibility

0:32:42.120 --> 0:32:45.640
<v Speaker 1>that AI could bring about an existential crisis for humanity.

0:32:45.760 --> 0:32:49.680
<v Speaker 1>So to me, this sounds like if you can't beat them,

0:32:49.800 --> 0:32:53.440
<v Speaker 1>join them type of strategy. Musk seems to say the

0:32:53.440 --> 0:32:56.560
<v Speaker 1>interface would serve as a step toward merging human and

0:32:56.680 --> 0:33:01.160
<v Speaker 1>artificial intelligence, perhaps pushing humanity into a trans human state.

0:33:01.560 --> 0:33:05.000
<v Speaker 1>We'd no longer be human beings as we would classically

0:33:05.040 --> 0:33:08.400
<v Speaker 1>define the term. Now, I have to stress again that

0:33:08.520 --> 0:33:12.320
<v Speaker 1>such a future, if it is even possible, is still

0:33:12.360 --> 0:33:16.640
<v Speaker 1>a long way away. The neuralink approach has a long

0:33:16.640 --> 0:33:20.560
<v Speaker 1>way to go just for a basic functionality, and building

0:33:20.560 --> 0:33:23.520
<v Speaker 1>a meaningful interface that can bring together human and artificial

0:33:23.520 --> 0:33:27.560
<v Speaker 1>intelligence is another matter entirely. In fact, I'm not even

0:33:27.720 --> 0:33:30.720
<v Speaker 1>sure what such a thing would mean. That would it

0:33:30.960 --> 0:33:34.280
<v Speaker 1>mean enhancing human intelligence with AI? And and if so,

0:33:34.360 --> 0:33:37.440
<v Speaker 1>how would that work? How could a computer system and

0:33:37.480 --> 0:33:41.600
<v Speaker 1>a brain work together like that, not just communicating back

0:33:41.640 --> 0:33:45.320
<v Speaker 1>and forth, but working as a cohesive unit. I'm not

0:33:45.360 --> 0:33:48.800
<v Speaker 1>really sure. I'm not sure if anybody is sure. Now

0:33:48.840 --> 0:33:51.640
<v Speaker 1>that's not to say it's not possible. It very well

0:33:51.680 --> 0:33:56.960
<v Speaker 1>maybe possible, but it's way beyond my humble understanding. Musk's

0:33:57.080 --> 0:34:00.200
<v Speaker 1>vision is an interesting one, but it also raised is

0:34:00.240 --> 0:34:04.520
<v Speaker 1>a lot of ethical questions. Now, presumably this technology will

0:34:04.560 --> 0:34:08.759
<v Speaker 1>not come cheaply, so who exactly would be able to

0:34:08.840 --> 0:34:12.799
<v Speaker 1>afford such a bio enhancement. So let's assume, for the

0:34:12.840 --> 0:34:17.120
<v Speaker 1>sake of argument, that Must's vision becomes reality, and that

0:34:17.160 --> 0:34:20.359
<v Speaker 1>this technology works the way he intended it to, which

0:34:20.360 --> 0:34:23.480
<v Speaker 1>I'm still not convinced is actually possible. But let's say

0:34:23.480 --> 0:34:26.360
<v Speaker 1>it is possible and it happens. Would that mean we

0:34:26.360 --> 0:34:29.840
<v Speaker 1>would actually see a new class system, one that essentially

0:34:29.920 --> 0:34:33.279
<v Speaker 1>mirrors the massive divide between the most wealthy and the

0:34:33.320 --> 0:34:36.640
<v Speaker 1>poorest people of today. But more so, would we have

0:34:36.719 --> 0:34:41.560
<v Speaker 1>a very small population of elite rich and enhanced people

0:34:41.680 --> 0:34:44.920
<v Speaker 1>overseeing a massive you know, the rest of us, because

0:34:44.920 --> 0:34:47.120
<v Speaker 1>I know I don't make enough money to fall into

0:34:47.160 --> 0:34:51.440
<v Speaker 1>the cyber human tax bracket. Again, we're so far away

0:34:51.480 --> 0:34:54.000
<v Speaker 1>from this being oppressing matter, but it's the sort of

0:34:54.080 --> 0:34:57.239
<v Speaker 1>question we have to ask when we talk about an

0:34:57.239 --> 0:35:02.320
<v Speaker 1>amazing future. Whose future or are we talking about? Because

0:35:02.400 --> 0:35:05.920
<v Speaker 1>if it's not everyone's future, I think it kind of stinks.

0:35:06.840 --> 0:35:11.399
<v Speaker 1>Speaking of stinking, let's segue over to Facebook, and that

0:35:11.520 --> 0:35:15.279
<v Speaker 1>might betray my opinion on this next item in our

0:35:15.360 --> 0:35:19.160
<v Speaker 1>bc I discussion. So at the two thousand, nineteen f

0:35:19.360 --> 0:35:24.040
<v Speaker 1>eight or FATE Conference, which is Facebook's conference for developers,

0:35:24.320 --> 0:35:27.680
<v Speaker 1>one of the many presentations was on Facebook's efforts to

0:35:27.800 --> 0:35:30.680
<v Speaker 1>fund the development of what has been called a mind

0:35:30.880 --> 0:35:34.880
<v Speaker 1>reading device, So what gives well? Researchers at the University

0:35:34.920 --> 0:35:38.719
<v Speaker 1>of California at San Francisco are helming this project and

0:35:38.760 --> 0:35:42.800
<v Speaker 1>the ultimate goal, at least the ultimate short term goal,

0:35:43.280 --> 0:35:46.560
<v Speaker 1>is to create a non invasive device or method that

0:35:46.640 --> 0:35:49.600
<v Speaker 1>will allow a user to transmit words or commands to

0:35:49.640 --> 0:35:53.359
<v Speaker 1>a computer device through thought alone. And the short term

0:35:53.440 --> 0:35:56.040
<v Speaker 1>goal is to develop such a system that can handle

0:35:56.120 --> 0:35:59.120
<v Speaker 1>up to one words per minute with a one thousand

0:35:59.200 --> 0:36:04.279
<v Speaker 1>word vocabular larry, and an error rate below sevent Now

0:36:04.360 --> 0:36:07.880
<v Speaker 1>those parameters should already tell you that this goal is

0:36:07.920 --> 0:36:11.279
<v Speaker 1>a tough one. We have no way to take raw

0:36:11.440 --> 0:36:13.960
<v Speaker 1>brain data from the speech center of the brain and

0:36:14.040 --> 0:36:16.960
<v Speaker 1>figure out what a person is trying to say all

0:36:16.960 --> 0:36:20.760
<v Speaker 1>by itself, right, I couldn't just slap a headset onto

0:36:20.800 --> 0:36:23.880
<v Speaker 1>a person have them think words and no immediately what

0:36:23.920 --> 0:36:26.160
<v Speaker 1>they're saying. To get to that point, we actually have

0:36:26.200 --> 0:36:30.000
<v Speaker 1>to train a computer system to recognize certain brain patterns

0:36:30.239 --> 0:36:33.240
<v Speaker 1>that represent specific words and the speech center of the brain.

0:36:33.320 --> 0:36:36.360
<v Speaker 1>That's what the researchers have been working on. So, like

0:36:36.440 --> 0:36:39.080
<v Speaker 1>the other examples I've given, these researchers have been working

0:36:39.080 --> 0:36:43.280
<v Speaker 1>with volunteers who elected to have surgeons implant electrodes into

0:36:43.320 --> 0:36:46.680
<v Speaker 1>their brains. And these were volunteers who were already undergoing

0:36:46.680 --> 0:36:50.200
<v Speaker 1>surgical procedures to treat stuff like epilepsy, So it wasn't

0:36:50.200 --> 0:36:52.759
<v Speaker 1>like they just walked in off the street. They were

0:36:53.320 --> 0:36:56.560
<v Speaker 1>electing to do this in addition to other treatments they

0:36:56.560 --> 0:36:59.360
<v Speaker 1>were seeking. The subjects were then given a series of

0:36:59.440 --> 0:37:02.839
<v Speaker 1>multiple choice questions. Now these were questions that didn't have

0:37:02.880 --> 0:37:05.480
<v Speaker 1>a right or wrong answer, so you could get a

0:37:05.560 --> 0:37:08.480
<v Speaker 1>question like how are you feeling today, and then the

0:37:08.520 --> 0:37:13.200
<v Speaker 1>answers could include stuff like tired, happy, sad, lonely, that

0:37:13.280 --> 0:37:16.080
<v Speaker 1>kind of thing. That's just an example from my own head.

0:37:16.080 --> 0:37:18.200
<v Speaker 1>By the way, I don't know for a fact that

0:37:18.200 --> 0:37:22.720
<v Speaker 1>that was an example question from their procedure. The subjects

0:37:22.760 --> 0:37:25.279
<v Speaker 1>would then answer out loud. They would say what their

0:37:25.360 --> 0:37:29.799
<v Speaker 1>choice was verbally, and during the whole test, the researchers

0:37:29.800 --> 0:37:33.120
<v Speaker 1>would record the brain activity in the subject's speech center

0:37:33.239 --> 0:37:35.600
<v Speaker 1>as it was going on. Doing this over and over

0:37:35.640 --> 0:37:39.359
<v Speaker 1>would establish a sort of picture neurologically speaking of how

0:37:39.440 --> 0:37:43.399
<v Speaker 1>specific responses quote unquote looked in the brain. So when

0:37:43.440 --> 0:37:47.840
<v Speaker 1>you were ready to say happy, then the neurons in

0:37:47.880 --> 0:37:51.160
<v Speaker 1>your brain fire in a specific kind of pattern, and

0:37:51.600 --> 0:37:56.080
<v Speaker 1>the the the the e G picks that up and

0:37:56.160 --> 0:37:59.080
<v Speaker 1>it it's kind of like making a picture. So if

0:37:59.080 --> 0:38:01.759
<v Speaker 1>the computer sees a picture that looks like that one,

0:38:02.000 --> 0:38:05.600
<v Speaker 1>it might interpret that you have said the word happy.

0:38:05.719 --> 0:38:08.880
<v Speaker 1>After training machine learning algorithm on the data, the researchers

0:38:08.880 --> 0:38:12.000
<v Speaker 1>tried to test the system and they would feed brain

0:38:12.120 --> 0:38:14.840
<v Speaker 1>data into the system without telling the system what the

0:38:14.920 --> 0:38:18.040
<v Speaker 1>data referred to. It would say, all right, which question

0:38:18.160 --> 0:38:21.560
<v Speaker 1>was asked and which answer was given, so the system

0:38:21.560 --> 0:38:24.080
<v Speaker 1>tried to figure that out based upon the amount of

0:38:24.200 --> 0:38:28.000
<v Speaker 1>data it had gathered in its training process. It did

0:38:28.080 --> 0:38:31.759
<v Speaker 1>fairly well figuring out which question was asked, getting it

0:38:31.880 --> 0:38:34.560
<v Speaker 1>right s the time, so three times out of four.

0:38:35.080 --> 0:38:38.680
<v Speaker 1>It was slightly less successful at guessing what the answer

0:38:39.000 --> 0:38:41.960
<v Speaker 1>was by the subject. It was not as good about

0:38:42.040 --> 0:38:46.360
<v Speaker 1>that it was about success rate, but that's still pretty impressive.

0:38:46.560 --> 0:38:49.400
<v Speaker 1>It's a long way away from the stated goal of

0:38:49.440 --> 0:38:51.759
<v Speaker 1>the project to get that error rate down below sev

0:38:52.520 --> 0:38:56.000
<v Speaker 1>Especially with a vocabulary of a thousand words, it's got

0:38:56.040 --> 0:38:59.080
<v Speaker 1>to get more complicated as the number of words increases,

0:38:59.360 --> 0:39:01.799
<v Speaker 1>because the more words the system has to identify, the

0:39:01.840 --> 0:39:03.200
<v Speaker 1>harder it has to be. It has to be able

0:39:03.200 --> 0:39:07.000
<v Speaker 1>to recognize differences between each of those words to determine

0:39:07.040 --> 0:39:11.640
<v Speaker 1>which one was intended. Okay, so what does Facebook want

0:39:11.680 --> 0:39:14.799
<v Speaker 1>to do with this technology, assuming that they're able to

0:39:15.360 --> 0:39:18.040
<v Speaker 1>mature the technology and have it perform up to the

0:39:18.120 --> 0:39:20.400
<v Speaker 1>level that they want well, the company has said that

0:39:20.440 --> 0:39:22.120
<v Speaker 1>the goal is to create a system in which a

0:39:22.200 --> 0:39:25.680
<v Speaker 1>user can just think a command or message and send

0:39:25.719 --> 0:39:28.839
<v Speaker 1>it to a computer. So rather than look down at

0:39:28.840 --> 0:39:31.759
<v Speaker 1>your phone to dash off a quick text to your BFF.

0:39:32.040 --> 0:39:35.760
<v Speaker 1>You could concentrate and send that message by thought alone

0:39:35.880 --> 0:39:38.400
<v Speaker 1>to your phone, and then commanded to send the message

0:39:38.400 --> 0:39:41.960
<v Speaker 1>onward without every taking the phone out of your pocket

0:39:42.239 --> 0:39:45.200
<v Speaker 1>or out of a purse or whatever. You're just concentrating

0:39:45.239 --> 0:39:49.680
<v Speaker 1>and making it happen. Now, the skeptics among you might say, hey, Jonathan,

0:39:49.960 --> 0:39:53.239
<v Speaker 1>wouldn't you say that Facebook has a somewhat spotty reputation

0:39:53.280 --> 0:39:56.080
<v Speaker 1>when it comes to stuff like privacy and security? And

0:39:56.160 --> 0:39:59.560
<v Speaker 1>my response would be, you bet you. I'm sure the

0:39:59.560 --> 0:40:02.920
<v Speaker 1>company has anticipated this. Folks at Facebook have already said

0:40:03.320 --> 0:40:06.200
<v Speaker 1>that this system would only pick up words that were

0:40:06.200 --> 0:40:08.680
<v Speaker 1>in the speech center of the brain, and only words

0:40:08.719 --> 0:40:10.920
<v Speaker 1>that the system had been trained on for that matter,

0:40:11.360 --> 0:40:14.520
<v Speaker 1>and that it wouldn't pick up just random surface thoughts.

0:40:14.920 --> 0:40:17.920
<v Speaker 1>So you'd have to be thinking about saying the word

0:40:18.280 --> 0:40:22.319
<v Speaker 1>for it to be detected by the technology. Presumably this

0:40:22.400 --> 0:40:25.400
<v Speaker 1>makes everything okay, I'm not quite ready to sign on

0:40:25.560 --> 0:40:29.520
<v Speaker 1>to that just now, but anyway, that being said, I

0:40:29.520 --> 0:40:32.399
<v Speaker 1>would imagine for the system to work, each user would

0:40:32.440 --> 0:40:37.080
<v Speaker 1>first have to train their individual instance of that system.

0:40:37.160 --> 0:40:39.919
<v Speaker 1>It's sort of like the old voice recognition programs out there.

0:40:40.440 --> 0:40:43.520
<v Speaker 1>You first had to go through a fairly extensive calibration

0:40:43.600 --> 0:40:46.719
<v Speaker 1>process with voice recognition systems that had to learn your

0:40:46.920 --> 0:40:49.840
<v Speaker 1>voice in order for it to be able to respond properly.

0:40:50.320 --> 0:40:53.319
<v Speaker 1>I imagine you'd have to do something similar with a

0:40:53.560 --> 0:40:56.920
<v Speaker 1>mind reading system like this, where you'd have to actively

0:40:57.000 --> 0:40:59.920
<v Speaker 1>think about specific words in sort of a two to

0:41:00.040 --> 0:41:02.680
<v Speaker 1>oriole in order to train the system on how your

0:41:02.760 --> 0:41:06.040
<v Speaker 1>brain lights up when you are thinking those words. To

0:41:06.080 --> 0:41:08.560
<v Speaker 1>put it another way, the neurons in my head might

0:41:08.640 --> 0:41:11.160
<v Speaker 1>light up a slightly different way when I say the

0:41:11.160 --> 0:41:14.239
<v Speaker 1>word cat than they would in your head when you

0:41:14.280 --> 0:41:17.239
<v Speaker 1>say the word cat, and each person would need to

0:41:17.239 --> 0:41:21.080
<v Speaker 1>make sure their version of this technology understood how they thought.

0:41:21.640 --> 0:41:23.760
<v Speaker 1>But that also means putting in a lot more prep

0:41:23.800 --> 0:41:26.320
<v Speaker 1>time before you can actually use the technology to dash

0:41:26.360 --> 0:41:29.600
<v Speaker 1>off an email or something. Another potential use is for

0:41:29.680 --> 0:41:33.840
<v Speaker 1>a hands free interface for technology like augmented reality glasses,

0:41:34.320 --> 0:41:37.319
<v Speaker 1>which frankly makes me even more worried. You can see

0:41:37.320 --> 0:41:40.319
<v Speaker 1>the use of such technology right away. You could wear

0:41:40.400 --> 0:41:43.719
<v Speaker 1>one of these glasses which can overlay digital this information

0:41:43.719 --> 0:41:45.880
<v Speaker 1>on top of your view of the world around you,

0:41:46.120 --> 0:41:48.279
<v Speaker 1>so you could stare at a building, for example, and

0:41:48.320 --> 0:41:51.960
<v Speaker 1>think what address is that, and just by thinking that

0:41:52.000 --> 0:41:54.600
<v Speaker 1>the a r handset could consult the Internet and come

0:41:54.600 --> 0:41:58.400
<v Speaker 1>back with some information and say that is this address

0:41:58.480 --> 0:42:02.320
<v Speaker 1>on this street, which is pretty useful. But let's paint

0:42:02.320 --> 0:42:07.360
<v Speaker 1>a more terrifying scenario. Facebook has an enormous amount of

0:42:07.400 --> 0:42:12.560
<v Speaker 1>information on millions, in fact billions of people. So let's

0:42:12.560 --> 0:42:16.200
<v Speaker 1>say you've got a pair of Facebook branded augmented reality

0:42:16.280 --> 0:42:19.439
<v Speaker 1>goggles and it's got a brain computer interface as part

0:42:19.600 --> 0:42:22.719
<v Speaker 1>of the system, so you can just think commands and

0:42:22.760 --> 0:42:25.440
<v Speaker 1>the goggles will pick up on what you are asking

0:42:25.440 --> 0:42:28.440
<v Speaker 1>them to do. And because so many people use Facebook

0:42:28.600 --> 0:42:31.680
<v Speaker 1>and many people have public accounts, you could walk down

0:42:31.680 --> 0:42:34.359
<v Speaker 1>the street and get quick bits of information about all

0:42:34.400 --> 0:42:36.239
<v Speaker 1>the people you were looking at. You know, you get

0:42:36.280 --> 0:42:39.760
<v Speaker 1>facial recognition software, it recognizes who the person is starts

0:42:39.760 --> 0:42:44.000
<v Speaker 1>pulling up your information on them that's publicly available. Maybe

0:42:44.000 --> 0:42:46.400
<v Speaker 1>you even figure out how to exploit the system and

0:42:46.440 --> 0:42:50.520
<v Speaker 1>get access to information beyond what was allowed for the

0:42:50.560 --> 0:42:54.960
<v Speaker 1>general public. This could be a massive privacy problem. Now, again,

0:42:55.440 --> 0:42:58.919
<v Speaker 1>we are a long way away from that particular type

0:42:58.960 --> 0:43:02.520
<v Speaker 1>of technology becoming reality, but the possibility is there. There's

0:43:02.560 --> 0:43:05.680
<v Speaker 1>no denying Facebook has access to a stupendous amount of

0:43:05.719 --> 0:43:08.279
<v Speaker 1>information about all of us and we don't even need

0:43:08.320 --> 0:43:11.120
<v Speaker 1>the brain computer interface for that to be a problem.

0:43:11.160 --> 0:43:14.520
<v Speaker 1>You could just have the A R glasses themselves with

0:43:14.600 --> 0:43:18.319
<v Speaker 1>a deep connection to Facebook's databases and a way of

0:43:18.320 --> 0:43:21.040
<v Speaker 1>interacting with it, even if it's with voice commands or

0:43:21.440 --> 0:43:24.560
<v Speaker 1>mobile app or whatever, and you can still have these problems.

0:43:24.640 --> 0:43:27.520
<v Speaker 1>It's just it seems even more insidious if you don't

0:43:27.560 --> 0:43:29.760
<v Speaker 1>have to do anything other than just stare at someone

0:43:29.920 --> 0:43:34.120
<v Speaker 1>and think it. It seems pretty spooky and creepy. And

0:43:34.120 --> 0:43:36.279
<v Speaker 1>it's these sort of scenarios that remind us we have

0:43:36.440 --> 0:43:39.359
<v Speaker 1>to be careful as we develop technologies to make sure

0:43:39.400 --> 0:43:42.720
<v Speaker 1>that they are applied ethically without posing harm to others.

0:43:42.960 --> 0:43:46.000
<v Speaker 1>We've got to ask ourselves what are the consequences of

0:43:46.040 --> 0:43:50.840
<v Speaker 1>this technology, both the intended and unintended consequences, and who

0:43:51.040 --> 0:43:53.840
<v Speaker 1>benefits most from it and who could be who stands

0:43:53.880 --> 0:43:58.759
<v Speaker 1>to to be victimized by it anyway, I think brain

0:43:58.800 --> 0:44:03.720
<v Speaker 1>computer interfaces really have great potential to do an enormous

0:44:03.760 --> 0:44:08.560
<v Speaker 1>amount of good, especially for people who otherwise have a

0:44:08.680 --> 0:44:11.600
<v Speaker 1>really difficult struggle just being able to interact with the

0:44:11.600 --> 0:44:13.960
<v Speaker 1>world around them and to have any sort of autonomy

0:44:13.960 --> 0:44:17.040
<v Speaker 1>at all, and to even just be able to communicate

0:44:17.080 --> 0:44:19.960
<v Speaker 1>with others. I think that that alone makes it a

0:44:20.000 --> 0:44:23.480
<v Speaker 1>worthy endeavor to pursue, but we do need to make

0:44:23.520 --> 0:44:26.440
<v Speaker 1>sure that we're doing it for the right reasons and

0:44:26.480 --> 0:44:29.799
<v Speaker 1>we're not just doing it because somebody is scared that

0:44:29.920 --> 0:44:32.319
<v Speaker 1>robots are going to take over the world, or a

0:44:32.400 --> 0:44:36.600
<v Speaker 1>company really wants to know what you're thinking, because the

0:44:36.640 --> 0:44:38.759
<v Speaker 1>more data the company has about you, the better it

0:44:38.760 --> 0:44:42.440
<v Speaker 1>can sell things to you or sell you to other things.

0:44:44.320 --> 0:44:47.520
<v Speaker 1>Keeping that in mind is very important. That's it for

0:44:47.560 --> 0:44:50.560
<v Speaker 1>this episode. If you have any suggestions for future episodes

0:44:50.560 --> 0:44:53.239
<v Speaker 1>of tech Stuff, maybe something that's happy and fun and

0:44:53.440 --> 0:44:56.800
<v Speaker 1>not nearly as terrifying and orwellian, send me a message.

0:44:56.960 --> 0:45:00.000
<v Speaker 1>The email is tech Stuff at how stuff works dot com,

0:45:00.120 --> 0:45:02.279
<v Speaker 1>or you can pop over to our website that's tech

0:45:02.320 --> 0:45:05.160
<v Speaker 1>stuff podcast dot com. You'll find an archive of all

0:45:05.200 --> 0:45:07.720
<v Speaker 1>of our previous episodes on there, as well as links

0:45:07.760 --> 0:45:10.200
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0:45:10.280 --> 0:45:12.839
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0:45:12.880 --> 0:45:15.520
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0:45:15.680 --> 0:45:23.520
<v Speaker 1>I will talk to you again really soon. Tech Stuff

0:45:23.560 --> 0:45:25.880
<v Speaker 1>is a production of I Heart Radio's How Stuff Works.

0:45:26.080 --> 0:45:28.880
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