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Elon Musk Interview About Neuralink and AI · Elon Musk Podcast

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  News pod. Thanks everybody for listening.
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  I appreciate your time now. Let's dig into some Elon Musk.
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  Like I said, I think we're gonna have to figure out this neural
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  link situation, otherwise we will be left behind.
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  It's very important. We do this quickly and time, we
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  don't have much time. Yeah.
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  Is there anything? I like technology like
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  technology and Technology awareness.
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  There's like it's like if it was like a topological map of
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  Technology awareness, it's mostly flat with a few short
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  buildings and then some very tall spires very tall spires and
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  unless You're on that very tall Spire, it's not obvious what the
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  topology is, you know, I would say try to learn as much as much
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  as possible that allows you to predict the future or make the
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  future. So the saying is the best way to
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  predict the future is to make it just and then assess, whether
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  what you are learning, is enabling you to predict the
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  future with less error. Are you less wrong?
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  We are always wrong to some degree.
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  But can you reduce the error? Our on your future predictions.
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  I think that's the way to look at education as well, of course.
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  But with both creative, create the future and predict the
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  future. So that includes art and all
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  those other things, but close the loop on being less wrong
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  about future. I would say that's the word,
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  right? Way to think about education.
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  I mean, down the road with a neural link.
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  You can just upload any subject instantly.
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  So we like the Matrix, you want to fly a helicopter?
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  No problem. Well, helicopter will fly
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  themselves but, you know, if you want Do whatever any given
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  skill. We just uploaded to instantly on
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  the way. Education Works right now, it's
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  extremely low. Bandwidth is extremely slow.
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  Lectures of the worst, really? It was like, very slow.
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  Yeah, just try to predict the future with less error.
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  This is the hot. This is very hard as you were
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  saying. I'm not sure.
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  It's 99.9%, but it's not very good.
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  Generally, a prediction of the future, but I think often people
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  don't try it. The first thing is try.
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  If you don't try Okay, you know, got it you got to try and then
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  and then adjust based on the error of your flight prior
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  predictions. That was it?
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  I mean, the first thing is, you should assume is that we are
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  very dumb and we can do. We can definitely make things
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  smarter than ourselves. I mean, the didn't used to be
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  humans, right? So then our earliest
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  civilization was very primitive. We don't have any technology,
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  really, we're just, like, running around, you know, trying
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  to not get eaten or Sprite survival.
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  Are now we have like Heating and we grow food.
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  This is all new stuff. So you know things like
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  obviously gotten way more smarter than the past way
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  smarter. So that's going to continue.
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  We are not the last step in evolution.
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  So the most important thing, like I said, the most important
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  mistake, I see a smart people making is assuming that they're
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  smart. Well, computers actually are
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  already much smarter than people on so many dimensions.
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  We just keep moving the goal posts.
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  So we used to think, like, for example, being good at chess was
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  an example of a smart human and then an Kasparov was crushed by
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  Deep Blue in 97. That was a long time ago, 22
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  years. I mean right now your cell phone
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  could crush the world champion of Chess.
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  Literally go used to be thought of as something that humans were
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  better at than computers. Then Lisa doll was beaten for
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  was before 1 by Alpha 0. Then a new version of alpha 0
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  associate. A alphago, alphago beat least at
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  all for one then there's Alpha 0 Alpha, 0 crushed, alphago
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  hundred 20, It's just pointless because it just keeps playing
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  itself. Humans are trying to play a
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  computer. Go is like trying to fight Zeus.
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  It's not going to work hopeless. We are hopelessly hopelessly
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  inadequate in terms of rendering and they basically there's just
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  a smaller and smaller corner of what of intellectual Pursuits
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  that humans are better than computers and that every year it
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  gets smaller and smaller and and soon we will I'll be far far,
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  surpassed in every single way, guaranteed.
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  Okay. Well let me tell you, like, my
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  view on the on AI is essentially, the you can view
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  the advancement of AI as solving things, with increasing numbers
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  of degrees of with increasing degrees of freedom.
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  So, the thing that the thing with the most most degrees of
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  freedom is reality, but AI is steadily Advanced solving things
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  that have more and more degrees of freedom.
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  So obviously, it's something like like Checkers was Very easy
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  to solve that that we could solve with classical software,
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  classical Computing, not really all that challenging.
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  And in fact, there is a complete solution for Checkers.
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  Meaning it is literally literally, every impossible,
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  every, every version of checkers is known.
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  And then then there's chest, which is also, which also had
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  many, many more degrees of freedom than Checkers.
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  Many orders of magnitude, more than checkers.
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  Hers. But still a really, I would say
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  a low order of magnitude lower degree of Freedom game.
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  Then there's go, which had many orders of magnitude more degrees
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  of freedom than