← Lex Fridman

Roger Penrose: Physics of Consciousness and the Infinite Universe

Episode 852020-03-31English

Guests: Roger Penrose

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§01Transcript · 00:00–09:10

00:00The following is a conversation with Roger Penrose,

00:02physicist, mathematician, and philosopher

00:05at University of Oxford.

00:07He has made fundamental contributions in many disciplines

00:10from the mathematical physics of general relativity

00:13and cosmology to the limitations

00:15of a computational view of consciousness.

00:18In his book, The Emperor's New Mind,

00:20Roger writes that, quote,

00:22"'Children are not afraid to pose basic questions

00:26that may embarrass us as adults to ask.'

00:29In many ways, my goal with this podcast

00:32is to embrace the inner child

00:33that is not constrained by how one should behave,

00:36speak, and think in the adult world.

00:41Roger is one of the most important minds of our time,

00:44so it was truly a pleasure and an honor to talk with him.

00:49This conversation was recorded

00:50before the outbreak of the pandemic.

00:52For everyone feeling the medical, psychological,

00:55and financial burden of the crisis,

00:57I'm sending love your way.

00:59Stay strong, we're in this together, we'll beat this thing.

01:04This is the Artificial Intelligence Podcast.

01:06If you enjoy it, subscribe on YouTube,

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01:14at Lex Friedman, spelled F R I D M A N.

01:18As usual, I'll do a few minutes of ads now

01:21and never any ads in the middle

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01:27Quick summary of the ads.

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03:46And now, here's my conversation with Roger Penrose.

03:51You mentioned in conversation with Eric Weinstein

03:54on the Portal podcast that 2001 Space Odyssey

03:57is your favorite movie.

03:59Which aspect, if you could mention,

04:02of its representation of artificial intelligence,

04:05science, engineering connected with you?

04:07There are all sorts of scenes there which are so amazing.

04:11And how science was so well done.

04:14I mean, people say, oh no, Interstellar is this amazing movie

04:19which is the most scientific movie.

04:21I thought it's not a patch on 2001.

04:24I mean, 2001, they really went into all sorts of details.

04:29And regarding getting the free fall well done and everything,

04:33I thought it was extremely well done.

04:35So just the details were mesmerizing in terms of this.

04:38And also things like the scene where at the beginning

04:43they have these sort of human ancestors

04:45which are sort of apes becoming humans.

04:49The monolith.

04:50Yes, and well, it's the one where he throws the bone

04:53up into the air and then it becomes this.

04:57I mean, that's an amazing sequence there.

05:00What do you make of the monolith?

05:01Does it have any scientific or philosophical meaning to you,

05:06this kind of thing that sparks innovation?

05:08Not really.

05:09That comes from Arthur C. Clarke.

05:12I was always a great fan of Arthur C. Clarke.

05:14So it's just a nice plot device.

05:16Yeah, that plot is excellent, yes.

05:18So Hal 9000 decides to get rid of the astronauts

05:22because he, it, she believes that they will interfere

05:26with the mission.

05:27That's right.

05:28Yeah, well, there you are.

05:29It's this view.

05:30I don't know whether I disagree with it

05:31because in a certain sense it was telling you it's wrong.

05:35See, the machine seemed to think it was superior

05:39to the human and so it was entitled to get rid

05:45of the human beings and run the show itself.

05:47Well, do you think Hal did the right thing?

05:49Do you think Hal's flawed evil?

05:52Or if we think about systems like Hal,

05:55would we want Hal to do the same thing in the future?

05:58What was the flaw there?

05:58Well, you're basically touching on questions.

06:01You see, it's one supposed to believe

06:04that Hal was actually conscious.

06:06I mean, it was played rather that way,

06:10as though Hal was a conscious being.

06:13Because Hal showed some pain, some cognizance,

06:19Hal appeared to be cognizant of what it means to die.

06:24Yes.

06:25And therefore had an inkling of consciousness.

06:28Yeah, I mean, I'm not sure that aspect

06:30of it was made completely clear,

06:32whether Hal was really just a very sophisticated computer,

06:37which really didn't actually have these feelings

06:39and somehow, but you're right,

06:42it didn't like the idea of being turned off.

06:45How does it change things if Hal was or wasn't conscious?

06:49Well, it might say that it would be wrong to turn it off

06:53if it was actually conscious.

06:55I mean, these questions arise if you think.

06:57I mean, AI, one of the ideas,

07:00it's sort of a mixture in a sense.

07:01You say, if it's trying to do everything a human can do,

07:05and if you take the view that consciousness

07:08is something which would come along

07:10when the computer is sufficiently complicated,

07:13sufficiently whatever criterion you use

07:16to characterize its consciousness

07:20in terms of some computational criteria,

07:24computational criterion.

07:28So how does consciousness change our evaluation

07:33of the decision that Hal made?

07:35I guess I was trying to say

07:36that people are a bit confused about this,

07:38because if they say these machines will become conscious,

07:42but just simply because it's a degree of computation,

07:45and when you get beyond that certain degree of computation,

07:48it will become conscious,

07:49then of course you have all these problems.

07:52I mean, you might say, well,

07:53one of the reasons you're doing AI

07:55is because you want to send a device

07:57out to some distant planet,

07:59and you don't want to send a human out there,

08:01because then you'd have to bring it back again,

08:02and that costs you far more

08:04than just sending it there and leaving it there.

08:07But if this device is actually a conscious entity,

08:10then you have to face up to the fact that that's immoral.

08:13And so the mere fact that you're making some AI device

08:17and thinking that removes your responsibility to it

08:24would be incorrect.

08:25And so this is a sign of flaw in that kind of viewpoint.

08:29I'm not sure how people who take it very seriously,

08:35I mean, I had this curious conversation

08:37with, I'm going to forget names, I'm afraid,

08:40because this is what happens to me at the wrong moment,

08:43Hofstadter, Douglas Hofstadter.

08:45Douglas Hofstadter, yeah.

08:46And he'd written this book,

08:48God Will Let You Up, which I liked.

08:50I thought it was a fantastic book.

08:52But I didn't agree with his conclusion

08:55from Gödel's theorem.

08:56I think he got it wrong, you see.

08:58Well, I'll just tell you my story, you see,

09:01because I'd never met him.

09:02And then I knew I was going to meet him,

09:04the occasion I realized he was coming in,

09:06he wanted to talk to me, and I said, that's fine.

09:09And I thought in my mind,

§02Transcript · 09:10–17:39

09:10well, I'm going to paint him into a corner, you see,

09:12because I'll use his arguments to convince him

09:15that certain numbers are conscious.

09:19Some integers, large enough integers are actually conscious.

09:22And this was going to be my reductio ad absurdum.

09:25So I started having this argument with him.

09:26He simply leapt into the corner.

09:28He didn't even need to be painted into it.

09:31He took the view that certain numbers were conscious.

09:33I thought that was a reductio ad absurdum,

09:35but he seemed to think it was perfectly

09:37a reasonable point of view.

09:38Without the absurdum there.

09:40Yes.

09:41Interesting, but the thing you mentioned about how

09:44is the intuition that a lot of the people,

09:46at least in the artificial intelligence world,

09:48had and have, I think.

09:51They don't make it explicit,

09:52but that if you increase the power of computation,

09:56naturally consciousness will emerge.

09:58Yes, I think that's what they think.

10:00But basically that's because

10:01they can't think of anything else.

10:02Well, that's right.

10:03And so it's a reasonable thing.

10:05I mean, you think, what does the brain do?

10:06Well, it does do a lot of computation.

10:09I think most of what you actually call computation

10:11is done by the cerebellum.

10:13I mean, this is one of the things

10:15that people don't much mention.

10:17I mean, I come to this subject from the outside

10:19and certain things strike me,

10:21which you hardly ever hear mentioned.

10:24I mean, you hear mentioned about the left right business.

10:28They move your right arm,

10:30that's the left side of the brain

10:31and so on and all that sort of stuff.

10:34And it's more than that.

10:36If you have these plots of different parts of the brain,

10:40there are two of these things called the homunculi,

10:43which you see these pictures of a distorted human figure

10:47and showing different parts of the brain,

10:51controlling different parts of the body.

10:53And it's not simply things like,

10:55okay, the right hand is controlled

10:58and both sensory and motor on the left side,

11:03left hand on the right side.

11:04It's more than that.

11:05Vision is the back basically,

11:08your feet at the top.

11:11And it's as though it's about the worst organization

11:13you could imagine.

11:14So it can't just be a mistake in nature.

11:17There's something going on there.

11:19And this is made more pronounced

11:22when you think of the cerebellum.

11:25The cerebellum has,

11:27when I was first thinking about these things,

11:29I was told that it had half as many neurons

11:32or something like that, comparable.

11:33And now they tell me it's got far more neurons

11:36than the cerebrum, and cerebrum is this sort of

11:39convoluted thing at the top people always talk about.

11:42Cerebellum is this thing just looks a bit like

11:44a ball of wool right at the back underneath them.

11:47It's got more neurons.

11:49It's got more connections.

11:51Computationally, it's got much more going on

11:55than this from the cerebrum.

11:58But as far as we know, that's slightly controversial,

12:01the cerebellum is entirely unconscious.

12:04So the actions, you have a pianist

12:07who plays an incredible piece of music

12:09and think of, and he moves his little finger

12:11into this little key to get it, hit it,

12:14just the right moment.

12:15Does he or she consciously will that movement?

12:20No.

12:23Okay, the consciousness is coming in.

12:24It's probably to do with the feeling

12:26of the piece of music that's being performed

12:28and that sort of thing, which is going on.

12:31But the details of what's going on are controlled.

12:35I would think almost entirely by the cerebellum.

12:38That's where you have this precision

12:40and the really detailed.

12:44Once you get, I mean, you think of a tennis player

12:47or something, does that tennis player

12:48think exactly which muscles should be moved

12:51in what direction and so on?

12:52No, of course not.

12:54But he or she will maybe think,

12:56well, if the ball is angled in such a way in that corner,

12:59that will be tricky for the opponent.

13:02And the details of that are all done

13:06largely with the cerebellum.

13:08That's where all the precise motions,

13:11but it's unconscious.

13:13So why is it interesting to you

13:14that so much computation is done in the cerebellum

13:17and yet it is unconscious?

13:19Because it doesn't, it's the view

13:21that somehow it's computation

13:24which is producing the consciousness.

13:27And it's here you have an incredible amount

13:30of computation going on.

13:33And as far as we know, it's completely unconscious.

13:36So why, what's the difference?

13:39And I think it's an important thing.

13:41What's the difference?

13:43Why is the cerebrum, all this very peculiar stuff

13:47that very hard to see on a computational perspective,

13:51like having the, everything have to cross over

13:53under the other side and do something

13:55which looks completely inefficient.

13:58And you've got funny things like the frontal lobe

14:01and the, what do we call the lobes?

14:04And the place where they come together,

14:07you have the different parts, the control,

14:12you see one to do with motor

14:13and the other to do with sensory.

14:16And they're sort of opposite each other

14:17rather than being connected by,

14:20it's not as though you've got electrical circuits.

14:23There's something else going on there.

14:26So it's just the idea that it's like a complicated computer

14:30just seems to me to be completely missing the point.

14:34There must be a lot of computation going on,

14:37but the cerebellum seems to be much better at doing that

14:40than the cerebrum is.

14:42So for sure, I think what explains it is like half hope

14:47and half we don't know what's going on.

14:49And therefore from the computer science perspective,

14:52you hope that a Turing machine can be perfectly,

14:56can achieve general intelligence.

14:58Well, you have this wonderful thing about Turing

15:02and Gödel and Church and Curry and various people,

15:07particularly Turing, and I guess Post was the other one.

15:11These people who developed the idea

15:14of what a computation is.

15:17And there were different ideas of what a computation,

15:19developed differently.

15:20I mean, Church's way of doing it,

15:21was very different from Turing's,

15:24but then they were shown to be equivalent.

15:26And so the view emerged that what we mean by computation

15:32is a very clear concept.

15:34And one of the wonderful things that Turing did

15:37was to show that you could have

15:40what we call the universal Turing machine.

15:43It's you just have to have a certain finite device.

15:46Okay, it has to have an unlimited storage space,

15:48which is accessible to it,

15:50but the actual computation, if you like,

15:51is performed by this one universal device.

15:55And so the view comes away,

15:57well, you have this universal Turing machine,

16:01and maybe the brain is something like that,

16:03a universal Turing machine,

16:05and it's got maybe not unlimited storage,

16:08but a huge storage accessible to it.

16:12And this model is one,

16:14which is what's used in ordinary computation.

16:17It's a very powerful model.

16:19And the universallness of computation is very useful.

16:24You could have some problem

16:26and you may not see immediately

16:27how to put it onto a computer,

16:29but if it is something of that nature,

16:32then there are all sorts of subprograms

16:36and subroutines when all the,

16:37I mean, I learned a little bit of computing

16:38when I was a student, but not very much.

16:42But it was enough to get the general ideas.

16:45And there's something really pleasant

16:46about a formal system like that.

16:48Yeah.

16:49Where you can start discussing about what's provable,

16:51what's not, these kinds of things.

16:52And you've got a notion, which is an absolute notion,

16:55this notion of computability,

16:56and you can address when things are,

17:00mathematical problems are computably solvable

17:02and what chance.

17:03So.

17:04And it's a very beautiful area of mathematics,

17:06and it's a very powerful area of mathematics.

17:09And it underlies the whole sort of,

17:14I won't say, the principles of computing machines

17:18that we have today.

17:19Could you say, what is Gayle's Incompleteness Theorem?

17:22And how does it, maybe also say,

17:24is it heartbreaking to you?

17:26And how does it interfere with this notion of computation

17:31and consciousness?

17:32Sure.

17:33Well, the ideas, basically ideas,

17:36which I formulated in my first year

§03Transcript · 17:39–26:15

17:39as a graduate student in Cambridge.

17:41I did my undergraduate work in mathematics in London,

17:44and I had a colleague, Ian Percival.

17:47We used to discuss things like computational

17:49and logical systems quite a lot.

17:52I'd heard about Gayle's theorem.

17:53I was a bit worried by the idea that it seemed to say

17:55there were things in mathematics that you could never prove.

17:59And so when I went to Cambridge as a graduate student,

18:04I went to various courses.

18:06You see, I was doing pure mathematics.

18:08I was doing algebraic geometry of a sort.

18:11A little bit different from what my supervisor and people,

18:15but it was algebraic geometry.

18:16Yeah.

18:17And I was interested,

18:20I got particularly interested in three lecture courses

18:24that were nothing to do with what I was supposed

18:27to be doing.

18:28One was a course by Herman Bondy

18:30on Einstein's general theory of relativity,

18:33which was a beautiful course.

18:34He was an amazing lecturer,

18:37brought these things alive, absolutely.

18:40Another was a course on quantum mechanics

18:43given by a great physicist, Paul Dirac.

18:47Very beautiful course in a completely different way.

18:50It was, he was very kind of organized

18:52and never got excited about anything seemingly.

18:58But it was extremely well put together.

19:00And I found that amazing too.

19:03Third course that was nothing to do

19:04with what I should be doing was a course

19:06on mathematical logic.

19:08I got excited, as I say, my discussions with Ian Percival

19:12was incompleteness theorem already deeply

19:15within mathematical logic space.

19:18Were you introduced to it?

19:20I was introduced to it in detail by the course, by Steen.

19:25And he, it was two things he described

19:27which were very fundamental to my understanding.

19:31One was Turing machines and the whole idea

19:34of computability and all that.

19:35So that was all very much part of the course.

19:38The other one was the Gödel theorem.

19:41And it wasn't what I was afraid it was

19:43to tell you there were things in mathematics

19:45you couldn't prove.

19:47It was basically, and he phrased it in a way

19:51which often people didn't.

19:53And if you read Douglas Soft status book,

19:54he doesn't, you see.

19:56But Steen made it very clear.

19:58And also in a sort of public lecture

20:01that he gave to a mathematical,

20:02I think it may be the Adams Society,

20:04one of the mathematical undergraduate societies.

20:07And he made this point again very clearly.

20:09That if you've got a formal system of proof,

20:11so suppose what you mean by proof

20:15is something which you could check with a computer.

20:19So to say whether you've got it right or not,

20:21you've got a lot of steps.

20:22Have you carried this computational procedure?

20:25Well, following the proof, steps of the proof correctly,

20:30that can be checked by an algorithm, by a computer.

20:35So that's the key thing.

20:38Now what you have to, now you see, is this any good?

20:44If you've got an algorithmic system,

20:47which claims to say, yes, this is right,

20:49this you've proved it correctly, this is true.

20:52If you've proved it, if you made a mistake,

20:54it doesn't say it's true or false.

20:55But if you have, if you've done it right,

20:57then the conclusion you've come to is correct.

21:01Now you say, why do you believe it's correct?

21:03Because you've looked at the rules and you said,

21:05well, okay, that one's all right.

21:06Yeah, that one's all right.

21:07What about that?

21:08Oh, yeah, I see, I see why it's all right.

21:10Okay, you go through all the rules.

21:12You say, yes, following those rules,

21:13if it says, yes, it's true, it is true.

21:17So you've got to make sure that these rules

21:19are ones that you trust.

21:21If you follow the rules and it says it's a proof,

21:25is the result actually true?

21:27Right.

21:27And that your belief that it's true

21:29depends upon looking at the rules and understanding them.

21:33Now, what Gödel shows, that if you have such a system,

21:38then you can construct a statement of the very kind

21:41that it's supposed to look at, a mathematical statement,

21:44and you can see by the way it's constructed

21:47and what it means that it's true,

21:52but not provable by the rules that you've been given.

21:56And it depends on your trust in the rules.

21:59Do you believe that the rules only give you truths?

22:02If you believe the rules only give you truths,

22:04then you believe this other statement is also true.

22:07I found this absolutely mind blowing.

22:09When I saw this, it blew my mind.

22:12I thought, my God, you can see that this statement is true.

22:17It's as good as any proof,

22:18because it only depends on your belief

22:21in the reliability of the proof procedure, that's all it is,

22:25and understanding that the coding is done correctly.

22:29And it enables you to transcend that system.

22:33So whatever system you have,

22:36as long as you can understand what it's doing

22:39and why you believe it only gives you truths,

22:41then you can see beyond that system.

22:44Now, how do you see beyond it?

22:46What is it that enables you to transcend that system?

22:51Well, it's your understanding

22:53of what the system is actually saying

22:55and what the statement that you've constructed

22:57is actually saying.

22:59So it's this quality of understanding, whatever it is,

23:03which is not governed by rules.

23:05It's not a computational procedure.

23:07So this idea of understanding is not going to be

23:09within the rules of the, within the formal system.

23:13Yes, you're only using those rules anyway,

23:15because you have understood them to be rules

23:18which only give you truths.

23:20There'd be no point in it otherwise.

23:22I mean, people say, well, okay, this is,

23:24it's one set of rules as good as any other.

23:28Well, it's not true.

23:28You see, you have to understand what the rules mean.

23:31And why does that understanding of the mean

23:33give you something beyond the rules themselves?

23:36And that's what it was.

23:37That's what blew my mind.

23:38It's somehow understanding why the rules give you truths

23:43enables you to transcend the rules.

23:45So that's where, I mean, even at that time,

23:48that's already where the thought entered your mind

23:50that the idea of understanding, or we can start calling it

23:55things like intelligence or even consciousness

23:57is outside the rules.

23:59Yes.

24:00See, I've always concentrated on understanding.

24:02You know, people say, people come and point out things.

24:05Well, you know, what about creativity?

24:07That's something a machine can't do is create.

24:09Well, I don't know.

24:09What is creativity?

24:11And I don't know.

24:12You know, somebody can put some funny things

24:13on a piece of paper and say that's creative

24:15and you could make a machine do that.

24:16Is it really creative?

24:18I don't know.

24:18You see, I worry about that one.

24:20I sort of agree with it in a sense,

24:22but it's so hard to do anything with that statement.

24:25But understanding, yes, you can.

24:27You can make, go see that understanding, whatever it is,

24:32and it's very hard to put your finger on it.

24:34That's absolutely true.

24:35Can you try to define or maybe dance around

24:39a definition of understanding?

24:41To some degree, but I don't, I often wondered about this,

24:45but there is something there which is very slippery.

24:48It's something like standing back.

24:52And it's got to be something, you see,

24:54it's also got to be something which was of value

24:56to our remote ancestors.

24:58Right.

24:59Because sometimes, there's a cartoon

25:01which I drew sometimes showing you how all these,

25:04there's in the foreground, you see this mathematician

25:07just doing some mathematical theorem.

25:08There's a little bit of a joke in that theorem,

25:10but let's not go into that.

25:12He's trying to prove some theorem.

25:14And he's about to be eaten by a saber tooth tiger

25:17who's hiding in the undergrowth, you see.

25:21And in the distance, you see his cousins

25:24building, growing crops, building shelters,

25:29domesticating animals, and in the slight foreground,

25:31you see they've built a mammoth trap

25:33and this poor old mammoth is falling into a pit, you see,

25:36and all these people around them are about to grab him,

25:39you see, and well, you see, those are the ones who,

25:43the quality of understanding, which goes with all,

25:47it's not just the mathematician doing his mathematics,

25:50this understanding quality is something else,

25:53which has been a tremendous advantage to us,

25:58not just to us.

25:59See, I don't think consciousness is limited to humans.

26:03Yeah, that's the interesting question,

26:04at which point, if it is indeed connected

26:07to the evolutionary process,

26:09at which point did we pick up this?

26:11A very hard question.

26:13It's certainly, I don't think it's primates,

§04Transcript · 26:15–34:58

26:15you know, you see these pictures of African hunting dogs

26:20and how they can plan amongst themselves

26:22how to catch the antelopes.

26:25Some of these David Attenborough films,

26:27I think this probably was one of them,

26:29and you could see the hunting dogs,

26:31and they divide themselves into two groups

26:34and they go in two routes, two different routes.

26:36One of them goes and they sort of hide next to the river.

26:40And the other group goes around

26:42and they start yelping at these, they don't bark,

26:46I guess whatever noise hunting dogs do,

26:48the antelopes, and they sort of round them up

26:51and they chase them in the direction of the river.

26:54And there are the other ones just waiting for them,

26:56just to get, because when they get to the river,

26:58it slows them down.

27:00And so they pounce on them.

27:02So they've obviously planned this all out somehow.

27:05I have no idea how.

27:07And there is some element of conscious planning,

27:11as far as I can see.

27:12I don't think it's just some kind of,

27:16so much of AI these days is done on what they call

27:19bottom up systems, is it?

27:21Yeah, where you have neural networks

27:23and you give them a zillion different things to look at

27:27and then they sort of can choose one thing over another,

27:33just because it's seen so many examples

27:35and picks up on little signals,

27:38which one may not even be conscious of.

27:41And that doesn't feel like understanding.

27:43There's no understanding in that whatsoever.

27:46Well, you're being a little bit human centric, so.

27:49Well, I'm talking about, I'm not with the dogs, am I?

27:52No, you're not.

27:53Sorry, not human centric, but I misspoke.

27:56Biology centric.

27:59Is it possible that consciousness

28:00would just look slightly different?

28:03Well, I'm not saying it's biological,

28:04because we don't know.

28:06I think other examples of elephants

28:08is a wonderful example, too.

28:10Where they, this was, I think this was an Attenborough one,

28:13where the elephants have to go from along,

28:17the troop of them have to go long distances.

28:20And the leader of a troop is a female.

28:21They all are, apparently.

28:23And this female, she had to go all the way

28:26from one part of the country to another.

28:30And at a certain point, she made a detour.

28:32And they went off in this big detour.

28:35All the troop came with her.

28:37And this was where her sister had died.

28:39And there were her bones lying around.

28:41And they're going to pick up the bones,

28:42and they hand it around, and they caress the bones.

28:45And then they put them back, and they go back again.

28:48What in the hell are they doing?

28:51That's so interesting.

28:52I mean, there's something going on.

28:54There's no clear connection with natural selection.

28:59There's just some deep feeling going on there,

29:03which has to do with their conscious experience.

29:06And I think it's something that, overall,

29:09is advantageous, our natural selection,

29:15but not directly to do with natural selection.

29:18I like that.

29:19There's something going on there.

29:22Like I told you, I'm Russian,

29:24so I tend to romanticize all things of this nature,

29:28that it's not merely cold, hard computation.

29:33Perhaps I could just slightly answer your question.

29:35You were asking me, what is it?

29:38There's something about sort of standing back

29:41and thinking about your own thought processes.

29:44I mean, there is something like that in the Gödel thing,

29:47because you're not following the rules.

29:50You're standing back and thinking about the rules.

29:53And so there is something that you might say,

29:56you think about you're doing something,

29:58and you think, what the hell am I doing?

30:00And you sort of stand back and think about

30:02what it is that's making you think in such a way.

30:05Just take a step back outside the game you've been playing.

30:08Yeah, you back up and you think about,

30:10you're just not playing the game anymore.

30:12You're thinking about what the hell you're doing

30:14in playing this game.

30:16And that's somehow,

30:18it's not a very precise description,

30:20but somehow it feels very true

30:22that that's somehow understanding.

30:24This kind of reflection.

30:26The reflection, yes.

30:27Yeah, it's a bit hard to put your finger on,

30:30but there is something there,

30:31which I think maybe could be unearthed at some point

30:34and see this is really what's going on,

30:36why conscious beings have this advantage,

30:40what it is that gives them advantage.

30:42And I think it goes way back.

30:44I don't think we're talking about the hunting dogs

30:46and the elephants.

30:48It's pretty clear that octopuses have

30:51the same sort of quality,

30:53and we call it consciousness.

30:54Yeah, I think so.

30:55Seen enough examples of the way that they behave

30:58and the evolution route is completely different.

31:03Does it go way back to some common ancestor

31:05or did it come separately?

31:07My hope is it's something simple,

31:09but the hard question if there's a hardware prerequisite.

31:13We have to develop some kind of hardware mechanisms

31:17in our computers.

31:19Like basically, as you suggest,

31:21we'll get to in a second,

31:22we kind of have to throw away the computer

31:24as we know it today.

31:26Yeah.

31:26The deterministic machines we know today

31:28to try to create it.

31:29I mean, my hope, of course, is not, but...

31:35Well, I should go really back to the story

31:37which, in a sense, I haven't finished

31:39because I went to these three courses, you see,

31:41when I was a graduate student.

31:43And so I started to think, well, I'm really,

31:46I'm a pretty, what you might call a materialist

31:49in the sense of thinking that there's no kind of mystical

31:53something or other which comes in from who knows where.

31:55You still that?

31:56Are you still, throughout your life, been a materialist?

31:58I don't like the word materialist

32:00because it suggests we know what material is.

32:02And that is a bad word because...

32:06But there's no mystical.

32:07It's not some mystical something

32:09which is not treatable by science.

32:11That's so beautifully put,

32:12just to pause on that for a second.

32:14You're a materialist, but you acknowledge

32:17that we don't really know what the material is.

32:19That's right.

32:19I mean, I like to call myself a scientist, I suppose,

32:24but it means that...

32:27Yes, well, you see, the question goes on here.

32:30So I began thinking, okay, if consciousness

32:33or understanding is something

32:35which is not a computational process, what can it be?

32:40And I knew enough from my undergraduate work.

32:42I knew about Newtonian mechanics,

32:44and I knew how basically you could put it on a computer.

32:50There is a fundamental issue, which is it important or not?

32:54That computation depends upon discrete things.

32:59So you're using discrete elements,

33:02whereas the physical laws depend on the continuum.

33:06Now, is this something to do with it?

33:09Is it the fact that we use the continuum in our physics?

33:12And if we model our physical system,

33:15we use discrete systems like ordinary computers?

33:19I came to the view that that's probably not it.

33:22I might have to retract on that someday,

33:24but the view was no, you can get close enough.

33:28It's not altogether clear, I have to say,

33:30but you can get close enough.

33:32And I went to this course by Bondi on general relativity,

33:37and I thought, well, you can put that on a computer,

33:39because that was a long time before people,

33:42and I've sort of grown up with this,

33:43how people have done better and better calculations,

33:46and they could work out about black holes,

33:48and they can then work out how black holes

33:50can interact with each other, spiral around,

33:52and what kind of gravitational waves can out.

33:55And it's a very impressive piece of computational work,

33:58how you can actually work out the shapes of those signals.

34:01And now we have LIGO seeing these signals,

34:04and they say, yeah, those black holes spiral into each other.

34:07This is just a vindication of the power of computation

34:11in describing Einstein's general relativity.

34:16So in that case, we can get close,

34:18but with computation, we can get close

34:22to our understanding of the physics.

34:23You can get very, very close.

34:24Now, is that close enough, you see?

34:26And then I went to this course by Dirac.

34:29Now, you see, I think it was the very first lecture

34:32that he gave, and he was talking about

34:35a superposition principle.

34:37And he said, if you have a particle,

34:39you usually think of particle can be over here

34:41or over there, but in quantum mechanics,

34:44it can be over here and over there at the same time.

34:48And you have these states which involve

34:50a superposition in some sense

34:52of different locations for that particle.

34:56And then he got out his piece of chalk.

§05Transcript · 34:58–42:54

34:58Some people say he broke it in two

35:00as a kind of illustration of how the piece of chalk

35:03might be over here and over there at the same time.

35:06And he was talking about this, and my mind wandered.

35:10I don't remember what he said.

35:13All I can remember, he's just moved on to the next topic,

35:16and something about energy he'd mentioned,

35:18which I had no idea what it had to do with anything.

35:21And so I'd been struck with this

35:22and worried about it ever since.

35:25It's probably just as well I didn't hear his explanation

35:27because it was probably one of these things

35:29to calm me down and not worry about it anymore.

35:32Whereas in my case, I've worried about it ever since.

35:35So I thought maybe that's the catch.

35:38There is something in quantum mechanics

35:41where the superpositions become one or the other,

35:45and that's not part of quantum mechanics.

35:47There's something missing in the theory.

35:50The theory is incomplete.

35:51It's not just incomplete.

35:52It's in a certain sense not quite right

35:54because if you follow the equation,

35:57the basic equation of quantum mechanics,

35:59that's the Schrodinger equation,

36:01you could put that on a computer too.

36:02There are lots of difficulties

36:03about how many parameters you have to put in and so on.

36:06That can be very tricky,

36:07but nevertheless, it is a computational process.

36:10Modulo this question about the continuum as before,

36:14but it's not clear that makes any difference.

36:16So our theories of quantum mechanics

36:18may be missing the same element

36:20that the universal Turing machine

36:23is missing about consciousness.

36:25Yes, yes.

36:26Yeah, this is the view I held is that you need a theory

36:29and that what people call the reduction of the state

36:33or the collapse of the wave function,

36:35which you have to have,

36:36otherwise quantum mechanics doesn't relate

36:38to the world we see.

36:39To make it relate to the world we see,

36:41you've got to break the Schrodinger equation.

36:45Schrodinger himself was absolutely appalled by this idea,

36:49his own equation.

36:50I mean, that's why he introduced

36:52this famous Schrodinger's cat as a thought experiment.

36:56He's really saying, look,

36:57this is where my equation leads you into it.

36:59There's something wrong,

37:01something we haven't understood,

37:02which is basically fundamental.

37:05And so I was trying to put all these things together

37:07and said, well, it's got to be

37:09the noncomputability comes in there.

37:11And I also can't quite remember when I thought this,

37:14but it's when gravity is involved in quantum mechanics.

37:18It's the combination of those two.

37:19And that's that point

37:22when you have good reasons to believe,

37:25this came much later,

37:27that I have good reason to believe

37:29that the principles of general relativity

37:32and those of quantum mechanics,

37:34most particularly,

37:35it's the basic principle of equivalence,

37:39which goes back to Galileo.

37:41If you fall freely,

37:43you eliminate the gravitational field.

37:46So you imagine Galileo

37:49dropping his big rock and his little rock

37:51from the leaning tower,

37:52whether he actually ever did that or not,

37:54pretty irrelevant.

37:55And as the rocks fall to the ground,

37:57you have a little insect sitting on one of them,

37:59looking at the other one.

38:01And it seems to think, oh, there's no gravity here.

38:04Of course, it hits the ground

38:05and then you realize something's difference going on.

38:07But when it's in free fall,

38:10the gravity has been eliminated.

38:11Galileo understood that very beautifully.

38:15He gives these wonderful examples of fireworks.

38:18And you see the fireworks and explode,

38:20and you see this fear of sparkling fireworks.

38:23It remains as fear as it falls down,

38:26as though there were no gravity.

38:29So he understood that principle,

38:31but he couldn't make a theory out of it.

38:33Einstein came along,

38:34used exactly the same principle.

38:36And that's the basis

38:38of Einstein's general theory of relativity.

38:41Now, there is a conflict.

38:43This is something I did much, much later.

38:45So this wasn't at those days,

38:47much, much later.

38:48You can see there is a basic conflict

38:51between the principle of superposition,

38:54the thing that Dirac was talking about,

38:56and the principle of general covariance.

38:58Well, principle of equivalence.

39:01Gravitational field's equivalent to an acceleration.

39:03Can you pause for a second?

39:04What is the principle of equivalence?

39:06It's this Galileo principle

39:08that we can eliminate, at least locally.

39:11You have to be in a small neighborhood

39:13because if you have people dropping rocks

39:16all around the world somewhere,

39:18you can't get rid of it all at once.

39:19But in the local neighborhood,

39:22you can eliminate the gravitational field

39:24by falling freely with it.

39:26And we now see this with astronauts,

39:28and they don't, you know, the Earth is right there.

39:30You can see the great globe of the Earth

39:32right beneath them.

39:33But they don't care about it.

39:35As far as they're concerned, there's no gravity.

39:39They fall freely within the gravitational field,

39:42and that gets rid of the gravitational field.

39:45And that's the principle of equivalence.

39:46So what's the contradiction?

39:48What's the tension with superposition

39:50and equivalence?

39:51Oh, well, that's technical.

39:52So just to backtrack for a second

39:55just to see if we can weave a thread through it all.

39:57So we started to think about consciousness

40:02as potentially needing some of the same,

40:06not mystical, but some of the same magic.

40:08You see, it is a complicated story.

40:10So, you know, people think,

40:11oh, I'm drifting away from the point or something.

40:14But I think it is a complicated story.

40:16So what I'm trying to say,

40:17I mean, I try to put it in a nutshell,

40:19but it's not so easy.

40:20I'm trying to say that whatever consciousness is,

40:24it's not a computation.

40:27Or it's not a physical process

40:29which can be described by computation.

40:33But it nevertheless could be,

40:34so one of the interesting models

40:37that you've proposed

40:39is the orchestrated objective reduction.

40:41Yes, well, you see, that's going from there, you see.

40:44So I say I have no idea.

40:46So I wrote this book through my scientific career.

40:50I thought, you know, when I'm retired,

40:52I'll have enough time to write a sort of a popularish book

40:56which I will explain my ideas and puzzles,

41:01what I like, beautiful things about physics and mathematics,

41:04and this puzzle about computability

41:07and consciousness and so on.

41:09And in the process of writing this book,

41:13well, I thought I'd do it when I was retired.

41:14I didn't actually, I didn't wait that long

41:16because there was a radio discussion

41:19between Edward Fredkin and Marvin Minsky.

41:24And they were talking about what computers could do.

41:28And they were entering a big room.

41:30They imagined entering this big room

41:32where at the other end of the room,

41:33two computers were talking to each other.

41:36And as you walk up to the computers,

41:39they will have communicated to each other

41:41more ideas, concepts, things than the entire human race

41:46had ever done.

41:49So I thought, well, I know where you're coming from,

41:51but I just don't believe you.

41:53There's something missing.

41:57So I thought, well, I should write my book.

42:00And so I did.

42:01It was roughly the same time Stephen Hawking

42:04was writing his brief history of time.

42:07In the 80s at some point.

42:11The book you're talking about is The Emperor's New Mind.

42:12The Emperor's New Mind, that's right.

42:13And both are incredible books,

42:16The Brief History of Time and The Emperor's New Mind.

42:18Yes, it was quite interesting

42:19because he told me he'd got Carl Sagan, I think,

42:23to write a foreword for the book, you see.

42:26So I thought, gosh, what am I gonna do?

42:28I'm not gonna get anywhere unless I get somebody.

42:31So I said, oh, I know Martin Gardner,

42:32so I wonder if he'd do it.

42:34So he did, and he did a very nice foreword.

42:36So that's an incredible book,

42:38and some of the same people you mentioned,

42:40Ed Franken, which I guess of expert systems fame,

42:44and Minsky, of course, people know in the AI world,

42:46but they represent the artificial intelligence world

42:49that do hope and dream that AI's intelligence is.

42:53Well, you see, it was my thinking,

§06Transcript · 42:54–52:03

42:54well, you know, I see where they're coming from.

42:57From that perspective, yeah, you're right.

42:59But that's not my perspective.

43:01So I thought I had to say it.

43:03And as I was writing my book, you see,

43:05I thought, well, I don't really know anything

43:06about neurophysiology.

43:07What am I doing writing this book?

43:09So I started reading up about neurophysiology,

43:12and I read up, and I think,

43:13now, I'm trying to find out how it is

43:14that nerve signals could possibly

43:16preserve quantum coherence.

43:18And all I read is that the electrical signals

43:20which go along the nerves create effects through the brain.

43:25There's no chance you can isolate it.

43:28So I thought, this is hopeless.

43:29So I come to the end of the book,

43:31and I more or less give up.

43:33I just think of something which I didn't believe in.

43:36Maybe this is a way around it, but no.

43:39And then, you see, I thought, well,

43:40maybe this book will at least stimulate young people

43:43to do science or something.

43:45And I got all these letters from old, retired people instead.

43:48These are the only people who had time to read my book.

43:52So, I mean, but.

43:53Except for Stuart Hameroff.

43:54Except for Stuart Hameroff.

43:56Stuart Hameroff wrote to me, and he said,

43:58I think you're missing something.

44:01You don't know about microtubules, do you?

44:03He didn't put it quite like that.

44:04But that was more or less it.

44:05And he said, this is what you really need to consider.

44:08So I thought, my God, yes.

44:10That's a much more promising structure.

44:12So, I mean, fundamentally, you were searching

44:16for the source of, noncomputable source of consciousness

44:22within the human brain, in the biology.

44:25And so, what are, if I may ask, what are microtubules?

44:30Well, you see, I was ignorant in what I'd read.

44:33I never came across them in the books I looked at.

44:37Perhaps I only read rather superficially, which is true.

44:40But I didn't know about microtubules.

44:43Stuart, I think one of the things

44:45that impressed him about them was,

44:47when you see pictures of mitosis, that's a cell dividing,

44:51and you see all the chromosomes.

44:53And the chromosomes, they all get lined up,

44:55and then they get pulled apart.

44:57And so, as the cell divides, half the chromosomes go,

45:02they divide into the two parts,

45:04and they go two different ways.

45:07And what is it that's pulling them apart?

45:09Well, those are these little things called microtubules.

45:12And so, he started to get interested in them.

45:15And he formed the view, well, he was,

45:18his day job or night job or whatever you call it,

45:21is to put people to sleep,

45:23except he doesn't like calling it sleep

45:24because it's different.

45:25General anesthetics in a reversible way.

45:29So, you want to make sure that they don't experience

45:32the pain that would otherwise be something that they feel.

45:36And consciousness is turned off for a while,

45:40and it can be turned back on again.

45:41So, it's crucial that you can turn it off and turn it on.

45:44And what do you do when you're doing that?

45:47What do general anesthetic gases do?

45:50And see, he formed the view that it's the microtubules

45:54that they affect.

45:56And the details of why he formed that view is not,

46:01well, they're clear to me,

46:02but there's an interesting story he keeps talking about.

46:05But I found this very exciting

46:08because I thought these structures,

46:11these little tubes which inhabit pretty well all cells,

46:15it's not just neurons,

46:17apart from red blood cells,

46:20they inhabit pretty well all the other cells in the body.

46:23But they're not all the same kind.

46:25You get different kinds of microtubules.

46:28And the ones that excited me the most,

46:31this may still not be totally clear,

46:34but the ones that excited me most

46:36were the only ones that I knew about at the time

46:39because they're very, very symmetrical structures.

46:44And I had reason to believe

46:45that these very symmetrical structures

46:48would be much better at preserving a quantum state,

46:52quantum coherence, preserving the thing without,

46:55you just need to preserve certain degrees of freedom

46:58without them leaking into the environment.

47:01Once they leak into the environment, you're lost.

47:03So you've got to preserve these quantum states at a level

47:08which the state reduction process comes in

47:12and that's where I think the noncomputability comes in

47:17and it's the measurement process in quantum mechanics,

47:19what's going on.

47:20So something about the measurement process

47:23and what's going on,

47:24something about the structure of the microtubules,

47:27your intuition says maybe there's something here,

47:29maybe this kind of structure allows

47:32for the mystery of the quantum mechanics.

47:35There was a much better chance, yes.

47:37It just struck me that partly it was the symmetry

47:40because there is a feature of symmetry

47:43you can preserve quantum coherence

47:46much better with symmetrical structures.

47:48There's a good reason for that.

47:50And that impressed me a lot.

47:52I didn't know the difference between the A lattice

47:54and B lattice at that time, which could be important.

47:57Now that could even, see, which isn't talked about much.

48:00But that's some, in some sense, details.

48:02We've got to take a step back just to say

48:04in case people are not familiar.

48:06So this was called the orchestrated objective reduction

48:13idea or ORCOR, which is a biological philosophy of mind

48:18that postulates that consciousness originates

48:20at the quantum level inside neurons.

48:22So that has to do with your search for where,

48:25where is it coming from?

48:26So that's counter to the notion that consciousness

48:29may arise from the computation performed by the synapses.

48:33Yes, I think the key point.

48:35Sometimes people say it's because it's quantum mechanical.

48:40It's not just that.

48:42See, it's more outrageous than that.

48:45You see, this is one reason I think

48:46we're so far off from it,

48:48because we don't even know the physics right.

48:51You see, it's not just quantum mechanics.

48:53People say, oh, you know, quantum systems

48:55and biological structures.

48:57No, will you starting to see that

49:00some basic biological systems does depend on quantum.

49:05I mean, look, in the first place,

49:07all of chemistry is quantum mechanics.

49:09People got used to that, so they don't count that.

49:13So he said, let's not count quantum chemistry.

49:16We sort of got the hang of that, I think.

49:19But you have quantum effects,

49:21which are not just chemical, in photosynthesis.

49:25And this is one of the striking things

49:27in the last several years,

49:29that photosynthesis seems to be a basically quantum process,

49:34which is not simply chemical.

49:36It's using quantum mechanics in a very basic way.

49:41So you could start saying, oh, well,

49:43if photosynthesis is based on quantum mechanics,

49:45why not behavior of neurons and things like that?

49:50Maybe there's something

49:52which is a bit like photosynthesis in that respect.

49:55But what I'm saying is even more outrageous than that,

49:58because those things are talking

50:00about conventional quantum mechanics.

50:03Now, my argument says that conventional quantum mechanics,

50:07if you're just following the Schrodinger equation,

50:09that's still computable.

50:11So you've got to go beyond that.

50:13So you've got to go to where

50:17quantum mechanics goes wrong in a certain sense.

50:21You have to be a little bit careful about that,

50:23because the way people do quantum mechanics

50:26is a sort of mixture of two different processes.

50:32One of them is the Schrodinger equation,

50:35which is an equation Schrodinger wrote down,

50:38and it tells you how the state of a system evolves.

50:42And it evolves according to this equation,

50:44completely deterministic,

50:47but it evolves into ridiculous situations.

50:50And this was what Schrodinger

50:51was very much pointing out with his cat.

50:54He said, you follow my equation,

50:55that's Schrodinger's equation,

50:57and you could say that you have to get a cat,

51:01a cat which is dead and alive at the same time.

51:04That would be the evolution of the Schrodinger equation,

51:07would lead to a state, which is the cat being dead

51:10and alive at the same time.

51:12And he's more or less saying, this is an absurdity.

51:16People nowadays say, oh, well, Schrodinger said

51:18you can have a cat which is dead, that's not that.

51:20You see, he was saying, this is an absurdity.

51:23There's something missing.

51:25And that the reduction of the state

51:28or the collapse of the wave function or whatever it is,

51:31is something which has to be understood.

51:34It's not following the Schrodinger equation.

51:37It's not the way we conventionally do quantum mechanics.

51:41There's something more than that.

51:44And it's easy to quote authority here because Einstein,

51:49at least three of the greatest physicists

51:52of 20th century who were very fundamental

51:57in developing quantum mechanics,

51:58Einstein, one of them, Schrodinger, another,

52:01Dirac, another.

§07Transcript · 52:03–1:00:37

52:03You have to look carefully at Dirac's writing

52:05because he didn't tend to say this out loud too much

52:09because he was very cautious about what he said.

52:11You find the right place and you see he says

52:14quantum mechanics is a provisional theory.

52:18We need something which explains

52:21the collapse of the wave function.

52:23We need to go beyond the theory we have now.

52:27I happen to be one of the kinds of people,

52:29there are many, there is a whole group of people,

52:31they're all considered to be a bit mavericks,

52:35who believe that quantum mechanics needs to be modified.

52:38There's a small minority of those people,

52:41which are already a minority,

52:42who think that the way in which it's modified

52:46has to be with gravity.

52:48And there is an even smaller minority of those people

52:51who think it's the particular way that I think it is.

52:53You see.

52:55So those are the quantum gravity folks.

52:56But what's...

52:57You see, quantum gravity is already not this.

53:00Because when you say quantum gravity,

53:02what you really mean is quantum mechanics

53:05applied to gravitational theory.

53:08So you say, let's take this wonderful formalism

53:10of quantum mechanics and make gravity fit into it.

53:15So that is what quantum gravity is meant to be.

53:18Now I'm saying you've got to be more even handed

53:21that gravity affects the structure of quantum mechanics too.

53:24It's not just you quantize gravity,

53:26you've got to gravitate quantum mechanics.

53:29And it's a two way thing.

53:31But then when do you even get started?

53:32So that you're saying that we have to figure out

53:35a totally new ideas in there.

53:36Exactly.

53:37No, you're stuck.

53:39You don't have a theory.

53:41That's the trouble.

53:42So this is a big problem.

53:44If you say, okay, well, what's the theory?

53:46I don't know.

53:47So maybe in the very early days, sort of...

53:49It is in the very early days.

53:51But just making this point.

53:52Yes.

53:53You see, Stuart Hammeroff tends to be,

53:55oh, Penrose says that it's got to be a reduction

53:58of the state and so on, so let's use it.

54:00The trouble is Penrose doesn't say that.

54:02Penrose says, well, I think that we have no experiments

54:06as yet, which shows that.

54:10There are experiments which are being thought through

54:12and which I'm hoping will be performed.

54:15There is an experiment which is being developed

54:18by Dirk Baumeister, who I've known for a long time,

54:22who shares his time between Leiden in the Netherlands

54:25and Santa Barbara in the US.

54:27And he's been working on an experiment

54:29which could perhaps demonstrate that quantum mechanics,

54:35as we now understand it, if you don't bring in

54:37the gravitational effects, it has to be modified.

54:42And then there's also experiments that are underway

54:45that kind of look at the microtubule side of things

54:50to see if there's, in the biology,

54:52you could see something like that.

54:53Could you briefly mention it?

54:55Because that's really sort of one of the only

54:58experimental attempts in the very early days

55:00of even thinking about consciousness.

55:02I think there's a very serious area here,

55:05which is what Stuart Hammeroff is doing,

55:07and I think it's very important.

55:09One of the few places that you can really get

55:11a bit of a handle on what consciousness is

55:14is what turns it off.

55:17And when you're thinking about general anesthetics,

55:20it's very specific.

55:21These things turn consciousness off.

55:24What the hell do they do?

55:26Well, Stuart and a number of people who work with him

55:29and others happen to believe that the general anesthetics

55:34directly affect microtubules.

55:36And there is some evidence for this.

55:38I don't know how strong it is

55:40and how watertight the case is,

55:43but I think there is some evidence pointing

55:46in that kind of direction.

55:49It's not just an ordinary chemical process.

55:51There's something quite different about it.

55:53And one of the main candidates

55:56is that these anesthetic gases

55:59do affect directly microtubules.

56:02And how strong that evidence is,

56:04I wouldn't be in a position to say,

56:07but I think there is fairly impressive evidence.

56:10And the point is the experiments are being undertaken,

56:12which is. Yeah.

56:13I mean, that is experimental.

56:14You see, so it's a very clear direction

56:17where you can think of experiments

56:18which could indicate whether or not

56:21it's really microtubules which the anesthetic gases

56:24directly affect.

56:26That's really exciting.

56:27One of the sad things is as far as I'm,

56:30from my outside perspective,

56:31is not many people are working on this.

56:34So there's a very, like with Stuart,

56:37it feels like there's very few people

56:38are carrying the flag forward on this.

56:41I think it's not many in the sense it's a minority,

56:44but it's not zero anymore.

56:46You see, when Stuart and I were originally taught by us,

56:49we were just us and a few of our friends,

56:52there weren't many people taking it,

56:54but it's grown into one of the main viewpoints.

56:59There might be about four or five or six different

57:03views which people hold,

57:06and it's one of them.

57:07So it's considered as one of the possible

57:12lines of thinking, yes.

57:13You describe physics theories

57:15as falling into one of three categories,

57:16the superb, the useful, or the tentative.

57:19I like those words.

57:21It's a beautiful categorization.

57:23Do you think we'll ever have a superb theory

57:26of intelligence and of consciousness?

57:29We might.

57:31We're a long way from it.

57:33I don't think we're even,

57:35whether we're in the tentative scale.

57:36I mean, it's...

57:40You don't think we've even entered the realm of tentative?

57:42Probably not.

57:43Yeah, that's right.

57:44Now, when you see this, it's so controversial.

57:47We don't have a clear view

57:49which is accepted by a majority.

57:53I mean, you see, yeah, people,

57:54most views are computational in one form or another.

57:57They think it's some, but it's not very clear,

57:59because even the IIT people who

58:04think of them as computational,

58:06but I've heard them say,

58:08no, consciousness is supposed to be not computational.

58:09I say, well, if it's not computational,

58:10what in the hell is it?

58:12What's going on?

58:14What physical processes are going on which are that?

58:18What does it mean for something to be computational then?

58:21So, is...

58:25Well, there has to be a process which is...

58:29You see, it's very curious

58:30the way the history has developed in quantum mechanics,

58:34because very early on,

58:35people thought there was something to do with consciousness,

58:37but it was almost the other way around.

58:39You see, you have to say the Schrodinger equation

58:42says all these different alternatives happen all at once,

58:46and then when is it that only one of them happens?

58:48Well, one of the views, which was quite commonly held

58:50by a few distinguished quantum physicists,

58:53that's when a conscious being looks at the system

58:56or becomes aware of it,

58:57and at that point, it becomes one or the other.

59:01That's a role where consciousness

59:03is somehow actively reducing the state.

59:07My view is almost the exact opposite of that.

59:10It's the state reduces itself in some way which...

59:14Some noncomputational way which we don't understand,

59:17we don't have a proper theory of,

59:19and that is the building block of what consciousness is.

59:24So consciousness is the other way around.

59:26It depends on that choice which nature makes all the time

59:31when the state becomes one or the other

59:33rather than the superposition of one and the other,

59:36and when that happens, there is what we're saying now,

59:39an element of proto consciousness takes place.

59:43Proto consciousness is, roughly speaking,

59:45the building block out of which

59:47actual consciousness is constructed.

59:50So you have these proto conscious elements,

59:53which are when the state decides

59:55to do one thing or the other,

59:57and that's the thing which when organized together,

60:01that's the OR part in ORCOR, but the ORC part,

60:05that's the OR part at least one can see

60:08where we're driving at a theory.

60:10You can say it's the quantum choice

60:13of going this way or that way,

60:14but the ORC part, which is the orchestration of this,

60:17is much more mysterious,

60:19and how does the brain somehow orchestrate

60:23all these individual OR processes

60:26into a genuine, genuine conscious experience?

60:32And it might be something that's beautifully simple,

60:35but we're completely in the dark about.

§08Transcript · 1:00:37–1:09:07

60:37Yeah, I think at the moment, that's the thing,

60:40you know, we happily put the word ORC down there

60:42to say orchestrated, but that's even more unclear

60:47what that really means.

60:49Just like the word material, orchestrated, who knows?

60:54And we've been dancing a little bit

60:56between the word intelligence

60:58or understanding and consciousness.

61:00Do you kind of see those as sitting

61:03in the same space of mystery as we discussed?

61:05Yes, well, you see, I tend to say

61:07you have understanding and intelligence and awareness,

61:14and somehow understanding is in the middle of it, you see.

61:21I like to say, could you say of an entity

61:25that is actually intelligent

61:27if it doesn't have the quality of understanding?

61:30Now, you see, I'm using terms I don't even know how to define,

61:33but who cares?

61:34I'm just relating them.

61:35They're somewhat poetic, so if I somehow understand them.

61:38Yes, that's right, we don't, exactly.

61:40But they're not mathematical in nature.

61:42Yes, you see, as a mathematician,

61:44I don't know how to define any of them,

61:45but at least I can point to the connections.

61:47So the idea is intelligence is something

61:50which I believe needs understanding,

61:53otherwise you wouldn't say it's really intelligence.

61:56And understanding needs awareness,

61:59otherwise you wouldn't really say it's understanding.

62:02Do you say of an entity that understands something,

62:04unless it's really aware of it, you know, normal usage.

62:08So there's a three sort of awareness,

62:10understanding, and intelligence.

62:13And I just tend to concentrate on understanding

62:17because that's where I can say something.

62:19Okay.

62:20And that's the Gödel theorem, things like that.

62:21But what does it mean to be,

62:24perceive the color blue or something?

62:26I mean, I'm foggiest.

62:28It's a much more difficult question.

62:31I mean, is it the same if I see a color blue and you see it?

62:34If you're somebody with this condition,

62:36what's it called then?

62:38Or where you assign a sound to a color.

62:41Yeah, yeah, that's right.

62:42You get colors and sounds mixed up.

62:44And that sort of thing.

62:45I mean, an interesting subject.

62:49But from the physics perspective,

62:50from the fundamentals perspective, we don't.

62:53I think we're way off having much understanding

62:56what's going on there.

62:57In your 2010 book, Cycles of Time,

63:01you suggest that another universe may have existed

63:04before the Big Bang.

63:06Can you describe this idea?

63:08First of all, what is the Big Bang?

63:10Sounds like a funny word.

63:13And what may have been there before it?

63:17Yes.

63:17Just as a matter of terminology,

63:19I don't like to call it another universe.

63:21Because when you have another universe,

63:23you think of it kind of quite separate from us.

63:25But these things, they're not separate.

63:28Now the Big Bang, conventional theory.

63:31You see, I was actually brought up

63:34in the sense of when I started getting

63:35interested in cosmology,

63:36there was a thing called the Steady State Model,

63:39which was sort of philosophically very interesting.

63:41And there wasn't a Big Bang in that theory.

63:43But somehow, new material was created all the time

63:46in the form of hydrogen,

63:48and the universe kept on expanding, expanding, expanding,

63:50and there was room for more hydrogen.

63:52It was a rather philosophically nice picture.

63:54It was disproved when the Big Bang,

63:59well, when I say the Big Bang,

64:01this was theoretically discovered

64:04by people trying to solve Einstein's equations

64:07and apply it to cosmology.

64:09Einstein didn't like the idea.

64:10He liked a universe which was there all the time.

64:14And he had a model which was there all the time.

64:16But then there was this discovery,

64:19accidental discovery, very important discovery,

64:22of this microwave background.

64:25And if you, there's the crackle on your television screen

64:28which is already sensing this microwave background,

64:32which is coming at us from all directions.

64:35And you can trace it back and back and back and back.

64:37And it came from a very early stage of the universe.

64:41Well, it's part of the Big Bang theory.

64:43The Big Bang theory was when people tried

64:45to solve Einstein's equations.

64:47They really found you had to have this initial state

64:50where the universe, it used to be called

64:52the primordial atom and things like this.

64:55There's Friedman and Lemaitre.

64:58Friedman was a Russian, Lemaitre was a Belgian.

65:01And they independently, well, basically Friedman first.

65:04And Lemaitre talked about the initial state,

65:08which is a very, very concentrated initial state

65:11which seemed to be the origin of the universe.

65:13Primordial atom.

65:14Primordial atom is what he called it, yes.

65:17And then it became, well, Fred Hoyle used the term

65:20Big Bang in a kind of derogatory sense.

65:22Just like with the Schrodinger and the cats, right?

65:25Yes, it's like sort of got picked up on

65:28whereas it wasn't his intention originally.

65:30But then the evidence piled up and piled up.

65:33And one of my friends and I learned a lot from him

65:36when I was in Cambridge was Dennis Sharma.

65:38He was a great proponent of steady state.

65:40And then he got converted.

65:41He said, no, I'm sorry.

65:43I had a great respect for him.

65:44He went around lecturing and said, I was wrong.

65:46The steady state model doesn't work.

65:48There was this Big Bang.

65:50And this microwave background that you see,

65:53okay, it's not actually quite the Big Bang.

65:55When I say not quite, it's about 380,000 years

65:58after the Big Bang, but that's what you see.

66:01But then you have to have had this Big Bang before it

66:03in order to make the equations work.

66:05And it works beautifully except for one little thing,

66:09which is this thing called inflation,

66:11which people had to put into it to make it work.

66:14When I first heard of it, I didn't like it at all.

66:16What's inflation?

66:17Inflation is that in the first,

66:20I'm gonna give you a very tiny number.

66:22Think of a second.

66:23That's not very long.

66:25Now I'm gonna give you a fraction of a second,

66:26one over a number.

66:29This number has 32 digits between,

66:34well, let's say between 36 and 32 digits.

66:37Tiny, tiny time between those two tiny,

66:41ridiculous seconds, fraction of a second,

66:44the universe was supposed to have expanded

66:46in this exponential way, an enormous way.

66:49For no apparent reason, you had to invent

66:52a particular thing called the inflaton field

66:54to make it do it.

66:56And I thought this is completely crazy.

66:58There are reasons why people stuck with this idea.

67:01You see, the thing is that I formed my model

67:04for reasons which are very fundamental, if you like.

67:07It has to do with this very fundamental principle,

67:10which is known as the second law of thermodynamics.

67:13The second law of thermodynamics says more or less,

67:16things get more and more random as time goes on.

67:20Now, another way of saying exactly the same thing

67:22is things get less and less random.

67:24As things go back, as you go back in time,

67:26they get less and less random.

67:28They go back and back and back and back.

67:30And the earliest thing you can directly see

67:32is this microwave background.

67:34What's one of the most striking features of it

67:37is that it's random.

67:39It has this, what you call this spectrum of,

67:43which is what's called the Planck spectrum,

67:46of frequencies, different intensities

67:48for different frequencies.

67:49And it's this wonderful curve due to Max Planck.

67:53And what's it telling you?

67:54It's telling you that the entropy is at a maximum.

67:58Started off at a maximum and it's going up ever since.

68:02I call that the mammoth in the room.

68:03I mean, it's a paradox.

68:05A mammoth, yeah, it is.

68:07And so people, why don't cosmologists worry about this?

68:10So I worried about it.

68:11And then I thought, well, it's not really a paradox

68:14because you're looking at matter and radiation

68:19at a maximum entropy state.

68:20What you're not seeing directly in that is the gravitation.

68:25It's gravitation, which is not thermalized.

68:28The gravitation was very, very low entropy.

68:32And it's low entropy by the uniformity.

68:34And you see that in the microwave too.

68:35It's very uniform over the whole sky.

68:38I'm compressing a long story

68:39into a very short few sentences.

68:40And doing a great job, yeah.

68:42So what I'm saying is that there's a huge puzzle.

68:45Why was gravity in this very low entropy state,

68:50very highly organized state, everything else was all random?

68:55And that to me was the biggest problem in cosmology.

68:59The biggest problem, nobody seems to even worry about it.

69:02People say they solved all the problems

69:04and they don't even worry about it.

69:05They think inflation solves it.

§09Transcript · 1:09:07–1:17:18

69:07It doesn't, it can't.

69:08Because it's just that...

69:12Just to clarify, that was your problem

69:14with the inflation describing some aspect

69:18of the moments right after the Big Bang?

69:20Inflation is supposed to stretch it out

69:22and make it all uniform, you see.

69:23It doesn't do it because it can only do it

69:25if it's uniform already at the beginning.

69:27It's, you just have to look at,

69:28I can't go into the details, but it doesn't solve it.

69:31And it was completely clear to me it doesn't solve it.

69:33But where does the conformal cyclic cosmology

69:36of starting to talk about something before

69:40that singular and the Big Bang?

69:41I was just thinking to myself,

69:44how boring this universe is going to be.

69:47You've got this exponential expansion.

69:49This was discovered early in the,

69:51in this century, 21st century.

69:56People discovered that these supernova exploding stars

70:01showed that the universe is actually undergoing

70:04this exponential expansion.

70:07So it's a self similar expansion.

70:10And it seems to be a feature of this term

70:14that Einstein introduced into his cosmology

70:17for the wrong reason.

70:18He wanted a universe that was static.

70:20He put this new term into his cosmology.

70:23To make it make sense,

70:24it's called the cosmological constant.

70:26And then when he got convinced

70:28that the universe had a Big Bang,

70:29he retracted it complaining this was his greatest blunder.

70:33The trouble is it wasn't a blunder.

70:34It was actually right, very ironic.

70:37And so the universe seems to be behaving

70:40with this cosmological constant.

70:41Okay, so this universe is expanding and expanding.

70:45What's going to happen in the future?

70:46Well, it gets more and more boring for a while.

70:48What's the most interesting thing in the universe?

70:50Well, there's black holes.

70:51The black holes more or less gulp down

70:53entire clusters of galaxies.

70:56The cluster, it'll swallow up most of our galaxy.

70:59We will run into our Andromeda galaxy's black hole.

71:01That black hole will swallow our one.

71:03They'll get bigger and bigger

71:04and they'll basically swallow up

71:07the whole cluster of galaxies, gulp it all down.

71:10Pretty well all, most of it, maybe not all, most of it.

71:13Okay, then that'll happen to,

71:15there'll be just these black holes around.

71:16Pretty boring, but still not as boring as it's gonna get.

71:19It's gonna get more boring because these black holes,

71:21you wait and you wait and you wait and you wait

71:24an unbelievable length of time

71:26and Hawking's black hole evaporation starts to come in.

71:30And the black holes, you just, it's incredibly tedious.

71:34Finally evaporate away.

71:36Each one goes away, disappears with a pop at the end.

71:39What could be more boring?

71:40It was boring then, now this is really boring.

71:43There's nothing, not even black holes.

71:46Universe gets colder and colder and colder and colder.

71:48And I thought, this is very, very boring.

71:52Now that's not science, is it?

71:54But it's emotional.

71:56So I thought, who's gonna be bored by this universe?

71:59Not us, we won't be around.

72:01It'll be mostly photons running around.

72:04And what the photons do, they don't get bored

72:06because it's part of relativity, you see.

72:08It's not really that they don't experience anything.

72:10That's not the point.

72:12Photons get right out to infinity

72:15without experience any time.

72:18It's the way relativity works.

72:21And this was part of what I used to do in my old days

72:23when I was looking at gravitational radiation

72:25and how things behaved to infinity.

72:27Infinity is just like another place.

72:30You can squash it down.

72:31As long as you don't have any mass in the world,

72:34infinity is just another place.

72:36The photons get there, the gravitons get there.

72:39What do they get?

72:40They've run into infinity.

72:42They say, well, now I'm here, what do I?

72:44There's something on the other side, is there?

72:46The usual view, it's just a mathematical notion.

72:48There's nothing on the other side.

72:49That's just the boundary of it.

72:51A nice example is this beautiful series of pictures

72:54by the Dutch artist MC Escher.

72:57You may know them.

72:58The one's called Circle Limits.

72:59They're a very famous one with the angels and the devils.

73:02And you can see them crowding and crowding

73:04and crowding up to the edge.

73:06Now, the kind of geometry that these angels and devils

73:09inhabit, that's their infinity.

73:12But from our perspective, infinity is just a place.

73:16Okay, there is...

73:17I'm sorry, can you just take a brief pause?

73:20Yes.

73:21In just the words you're saying,

73:22infinity is just a place.

73:24So for the most part, infinity, sort of even just going back,

73:28infinity is a mathematical concept.

73:31I think this is one of the things...

73:32You think there's an actual physical manifest...

73:35In which way does infinity ever manifest itself

73:38in our physical universe?

73:40Well, it does in various places.

73:41You see, it's a thing that if you're not a mathematician,

73:44you think, oh, infinity, I can't think about that.

73:46Mathematicians think about affinity all the time.

73:48They get used to the idea and they just play around

73:50with different kinds of infinities

73:52and it becomes no problem.

73:54But you just have to take my word for it.

73:57Now, one of the things is,

73:58you see, you take a Euclidean geometry.

74:00Well, it just keeps on going and it goes out to infinity.

74:04Now, there's other kinds of geometry

74:06and this is what's called hyperbolic geometry.

74:09It's a bit like Euclidean geometry,

74:10it's a little bit different.

74:12It's like what Escher was trying to describe

74:14in his angels and devils.

74:17And he learned about this from Coxeter

74:19and he think that's a very nice thing.

74:21That's why I represent this infinity

74:24to this kind of geometry.

74:25So it's not quite Euclidean geometry,

74:27it's a bit like it,

74:28that the angels and the devils inhabit.

74:30And their infinity, by this nice transformation,

74:34you squash their infinity down

74:36so you can draw it as this nice circle boundary

74:39to their universe.

74:42Now, from our outside perspective,

74:44we can see their infinity as this boundary.

74:47Now, what I'm saying is that it's very like that.

74:50The infinity that we might experience

74:53like those angels and devils in their world

74:56can be thought of as a boundary.

74:59Now, I found this a very useful way

75:01of talking about radiation,

75:03gravitational radiation and things like that.

75:07It was a trick, mathematical trick.

75:10So now what I'm saying is that

75:11that mathematical trick becomes real.

75:14That somehow, the photons,

75:17they need to go somewhere

75:19because from their perspective,

75:22infinity is just another place.

75:25Now, this is a difficult idea to get your mind around.

75:28So that's one of the reasons cosmologists

75:31are finding a lot of trouble taking me seriously.

75:34But to me, it's not such a wild idea.

75:37What's on the other side of that infinity?

75:39You have to think, why am I allowed to think of this?

75:43Why am I allowed to think of this?

75:45Because photons don't have any mass.

75:48And we in physics have beautiful ways of measuring time.

75:53There are incredibly precise clocks,

75:55atomic and nuclear clocks, unbelievably precise.

75:59Why are they so precise?

76:01Because of the two most famous equations

76:04of 20th century physics.

76:06One of them is Einstein's E equals MC squared.

76:10What's that tell us?

76:11Energy and mass are equivalent.

76:14The other one is even older than that,

76:16still 20th century, only just.

76:18Max Planck, E equals h nu.

76:22Nu is a frequency,

76:24h is a constant, again, like C.

76:26E is energy.

76:28Energy and frequency are equivalent.

76:31Put the two together,

76:33energy and mass are equivalent, Einstein.

76:34Energy and frequency are equivalent, Max Planck.

76:37Put the two together, mass and frequency are equivalent.

76:41Absolutely basic physical principle.

76:44If you have a massive entity, a massive particle,

76:47it is a clock with a very, very precise frequency.

76:53It's not, you can't directly use it,

76:55you have to scale it down.

76:56So your atomic and nuclear clocks,

76:57but that's the basic principle.

76:59You scale it down to something you can actually perceive.

77:02But it's the same principle.

77:03If you have mass, you have beautiful clocks.

77:07But the other side of that coin is,

77:10if you don't have mass, you don't have clocks.

77:14If you don't have clocks, you don't have rulers.

§10Transcript · 1:17:18–1:25:30

77:18You don't have scale.

77:20So you don't have space and time.

77:21You don't have a measure of the scale of space and time.

77:24Oh, scale of space and time.

77:26You do have the structure,

77:29what's called the conformal structure.

77:30You see, it's what the angels and devils have.

77:33If you look at the eye of the devil,

77:35no matter how close to the boundary it is,

77:36it has the same shape, but it has a different size.

77:40So you can scale up and you can scale down,

77:43but you mustn't change the shape.

77:46So it's basically the same idea,

77:48but applied to space time now.

77:50In the very remote future,

77:52you have things which don't measure the scale,

77:55but the shape, if you like, is still there.

77:58Now that's in the remote future.

77:59Now I'm gonna do the exact opposite.

78:01Now I'm gonna go way back into the Big Bang.

78:04Now as you get there, things get hotter and hotter,

78:08denser and denser.

78:10What's the universe dominated by?

78:13Particles moving around almost with the speed of light.

78:16When they get almost with the speed of light,

78:19okay, they begin to lose the mass too.

78:21So for completely opposite reason,

78:24they lose the sense of scale as well.

78:26So my crazy idea is the Big Bang and the remote future,

78:32they seem completely different.

78:33One is extremely dense, extremely hot.

78:36The other is very, very rarefied and very, very cold.

78:39But if you squash one down by this conformal scaling,

78:42you get the other.

78:44So although they look and feel very different,

78:48they're really almost the same.

78:50The remote future on the other side,

78:53I'm claiming is that where do the photons go?

78:55They go into the next Big Bang.

78:58You've got to get your mind around that crazy idea.

79:01Taking a step on the other side of the place

79:03that is infinity.

79:05Okay, but.

79:07So I'm saying the other side of our Big Bang,

79:09now I'm going back into the Big Bang.

79:10Back, backwards.

79:11There was the remote future of a previous eon.

79:13Previous eon.

79:15And what I'm saying is that previous eon,

79:17there are signals coming through to us,

79:20which we can see and which we do see.

79:23And these are both signals,

79:25the two main signals are to do with black holes.

79:29One of them is the collisions between black holes.

79:33And as they spiral into each other,

79:35they release a lot of energy

79:37in the form of gravitational waves.

79:39Those gravitational waves get through

79:42in a certain form into the next eon.

79:44That's fascinating that there's some,

79:46I mean, maybe you can correct me if I'm wrong,

79:49but that means that some information can travel

79:52from another eon.

79:53Exactly.

79:54That is fascinating.

79:58I mean, I've seen somewhere described

80:01sort of the discussion of the Fermi Paradox,

80:05you know, that if there's intelligent life.

80:08Yes.

80:09Being, you know, communication immediately takes you there.

80:12So.

80:13We have a paper, I have my colleague,

80:16Vahid Guzajan, who I worked with on these ideas for a while.

80:19We have a crazy paper on that, yes.

80:21So.

80:22Looking at the Fermi Paradox, yes.

80:23Right, so if the universe is just cycling

80:25over and over and over,

80:27punctuated by the, punctuated the singularity

80:31of the Big Bang,

80:32and then intelligent or any kind of intelligent systems

80:36can communicate through from eon to eon,

80:39why haven't we heard anything from our alien friends?

80:44Because we don't know how to look.

80:46That's fundamentally the reason, is we.

80:48I don't know, you see, it's speculation.

80:51I mean, the SETI program is a reasonable thing to do,

80:55but still speculation.

80:56It's trying to say, okay, maybe not too far away

81:01was a civilization which got there first, before us,

81:05early enough that they could send us signals,

81:08but how far away would you need to go before,

81:11I mean, I don't know, we have so little knowledge

81:13about that, we haven't seen any signals yet,

81:15but it's worth looking, it's worth looking.

81:18What I'm trying to say, here's another possible place

81:21where you might look.

81:22Now you're not looking at civilizations

81:24which got there first,

81:26you're looking at those civilizations

81:27which were so successful,

81:29probably a lot more successful than they're likely to be

81:32by the looks of things,

81:34which knew how to handle their own global warming

81:38or whatever it is and to get through it all

81:40and to live to a ripe old age in the sense of a civilization

81:45to the extent that they could harness signals

81:49that they could propagate through for some reason

81:52of their own desires, whatever we wouldn't know

81:55to other civilizations

81:57which might be able to pick up the signals.

82:00But what kind of signals would they be?

82:01I haven't the foggiest.

82:05Let me ask the question.

82:06Yes.

82:07What to you is the most beautiful idea

82:09in physics or mathematics or the art

82:12at the intersection of the two?

82:15I'm gonna have to say complex analysis.

82:17I might've said infinities.

82:19And one of the most single, most beautiful idea

82:22I think was the fact that you can have

82:24infinities of different sizes and so on.

82:26But that's in a way, I think complex analysis.

82:30It's got so much magic in it.

82:32It's a very simple idea.

82:36You take these, you take numbers,

82:39you take the integers and then you fill them up

82:41into the fractions and the real numbers.

82:44You imagine you're trying to measure a continuous line

82:46and then you think of how you can solve equations.

82:50Then what about X squared equals minus one?

82:54Well, there's no real number which has to satisfy that.

82:57So you have to think of, well, there's a number called I.

83:01You think you invent it.

83:02Well, in a certain sense, it's there already.

83:05But this number, when you add that square root

83:07of minus one to it,

83:08you have what's called the complex numbers.

83:10And they're an incredible system.

83:13If you like, you put one little thing in,

83:15you put square root of minus one in

83:17and you get how much benefit out of it.

83:20All sorts of things that you'd never imagined before.

83:23And it's that amazing, all hiding there

83:27in putting that square root of minus one in.

83:30I think that's the most magical thing I've seen

83:32in mathematics or physics.

83:34And it's in quantum mechanics.

83:35And in quantum mechanics.

83:36You see, it's there already.

83:38You might think, what's it doing there?

83:39Okay, just a nice beautiful piece of mathematics.

83:41And then suddenly we see, nope.

83:44It's the very crucial basis of quantum mechanics.

83:47It's there and the way the world works.

83:49So on the question of whether math

83:50is discovered or invented,

83:52it sounds like you may be suggesting

83:54that partially it's possible

83:56that math is indeed discovered.

83:57Oh, absolutely, yes.

83:59No, it's more like archeology than you might think.

84:02Yes, yes.

84:03So let me ask the most ridiculous,

84:06maybe the most important question.

84:08What is the meaning of life?

84:11What gives your life fulfillment, purpose,

84:15happiness, and meaning?

84:16Why do you think we're here on this?

84:18Given all the big bang and the infinities of photons

84:20that we've talked about.

84:21All I would say, I think it's not a stupid question.

84:26I mean, there are some people, you know,

84:28many of my colleagues who are scientists,

84:29and they say, well, that's a stupid question,

84:31meaning, yeah, well, we're just here

84:32because things came together and produced life

84:35and so what.

84:37I think there's more to it.

84:39But what there is that's more to it,

84:41I have really much idea.

84:43And it might be somehow connected

84:44to the mechanisms of consciousness

84:46that we've been talking about, the mystery there.

84:49It's connected with all sorts of, yeah,

84:51I think these things are tied up in ways which are,

84:54you see, I tend to think the mystery of consciousness

84:56is tied up with the mystery of quantum mechanics

85:00and how it fits in with the classical world,

85:04and that's all to do with the mystery of complex numbers.

85:08And there are mysteries there

85:10which look like mathematical mysteries,

85:13but they seem to have a bearing

85:15on the way the physical world operates.

85:18We're scratching the surface.

85:20We have a long, huge way to go

85:22before we really understand that.

85:24And it's a beautiful idea that the depth,

85:28the mathematical depth could be discovered,

§11Transcript · 1:25:30–1:28:01

85:30and then there's tragedies of ghettos

85:32and completeness along the way

85:34that we'll have to somehow figure our ways around.

85:37Yeah.

85:38So, Roger, it was a huge honor to talk to you.

85:42Thank you so much for your time today.

85:43It's been my pleasure.

85:44Thank you.

85:46Thanks for listening to this conversation

85:47with Roger Penrose,

85:48and thank you to our presenting sponsor, Cash App.

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86:03If you enjoy this podcast, subscribe on YouTube,

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86:14And now let me leave you with some words of wisdom

86:17that Roger Penrose wrote in his book,

86:19The Emperor's New Mind.

86:21Beneath all this technicality is the feeling

86:24that it is indeed, quote unquote, obvious

86:28that the conscious mind cannot work like a computer,

86:31even though much of what is involved

86:33in mental activity might do so.

86:35This is the kind of obviousness that a child can see,

86:39though the child may later in life become browbeaten

86:42into believing that the obvious problems

86:44are quote unquote, non problems,

86:47to be argued into nonexistence by careful reasoning

86:51and clever choices of definition.

86:53Children sometimes see things clearly

86:56that are obscured in later life.

86:59We often forget the wonder that we felt as children

87:02when the cares of the quote unquote, real world

87:05had begun to settle on our shoulders.

87:07Children are not afraid to pose basic questions

87:10that may embarrass us as adults to ask.

87:13What happens to each of our streams of consciousness

87:15after we die?

87:17Where was it before we were born?

87:19Might we become or have been someone else?

87:23Why do we perceive it all?

87:25Why are we here?

87:26Why is there a universe here at all

87:28in which we can actually be?

87:30These are puzzles that tend to come

87:32with the awakenings of awareness in any of us

87:35and no doubt with the awakening of self awareness

87:39within whichever creature or other entity it first came.

87:43Thank you for listening and hope to see you next time.

— A LITTLE MORE TO THINK ABOUT. —