Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas - 253 | David Deutsch on Science, Complexity, and Explanation
Episode Date: October 16, 2023David Deutsch is one of the most creative scientific thinkers working today, who has as a goal to understand and explain the natural world as best we can. He was a pioneer in quantum computing, and ha...s long been an advocate of the Everett interpretation of quantum theory. He is also the inventor of constructor theory, a new way of conceptualizing physics and science more broadly. But he also has a strong interest in philosophy and epistemology, championing a Popperian explanation-based approach over a rival Bayesian epistemology. We talk about all of these things and more, including his recent work on the Popper-Miller theorem, which specifies limitations on inductive approaches to knowledge and probability. Blog post with transcript: https://www.preposterousuniverse.com/podcast/2023/10/16/253-david-deutsch-on-science-complexity-and-explanation/ Support Mindscape on Patreon. David Deutsch received his Ph.D. in theoretical physics from the University of Oxford. He is currently a visiting professor in the Department of Atomic and Laser Physics at Oxford. He is a pioneer in quantum computation as well as initiating constructor theory. His books include The Fabric of Reality and The Beginning of Infinity. Among his awards including the Dirac Prize, the Dirac Medal, the Edge of Computation Science Prize, the Isaac Newton Medal, the Breakthrough Physics Prize, and a Royal Society Fellowship. Web site Oxford web page Google Scholar publications Amazon author page Wikipedia TED talk: After Billions of Years of Monotony, the Universe is Waking Up
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Hello everyone, welcome to the Mindscape podcast. I'm your host, Sean Carroll. We've talked about quantum
mechanics a lot on the podcast. You may have heard that I am a fan of the Everettian, many worlds formulation
of quantum mechanics, but we have a special treat in that we have a guest who actually met
Hugh Everett and was influenced by him and has gone on to be a major proponent of the Everettian
version of quantum mechanics. That would, of course, be David Deutsch. And despite that,
Despite the fact that David is very well known in his work in quantum mechanics and quantum field theory,
he was basically, if you have to give credit to one person for pioneering the idea of quantum computers,
it would have to be David Deutsch.
There's other people who made very significant contributions there,
but David was one of the first to really define what it means to do a quantum computation,
to write down an algorithm that was faster than a classical algorithm.
to really think about how entanglement can help you encrypt things using quantum mechanics, and so on.
It's been super-duper influential. He's been awarded various prizes for this, the breakthrough prize, the fellowship of the Royal Society, and so forth.
But that's not all. And in fact, in this podcast, we're not even going to talk about quantum mechanics that much.
We're going to be talking about various things that David has been thinking about that grow out of, arguably, his combination
of an interest in the fundamental laws of physics, but also in epistemology, how we learn things
about the world. You know, you've heard me talk about quantum mechanics in Everett. You've also maybe
heard me talk about Bayesian reasoning and Bayesian inference and epistemology. And so unlike quantum
mechanics, where David and I are very much on the same team, here we are not. And so that's
I wanted to talk about. He's been thinking a lot about, I guess, what you might call
Popperian epistemology after Karl Popper, the idea that we think about possible worlds and we
divide them into the ones that are compatible with the data and then not, and then seek the best
explanation. It's a little bit fuzzy, I got to say, what counts is the best explanation,
but it's clearly also very similar to what we actually do. I mean, you can recognize this
in the actual progress of science, we try to come up with the best explanation for what the
world is doing, given the data we currently have, and a way to go beyond that. So David has been
trying to formalize that, thinking about it very carefully, and pointing out where traditional
mottos that one invokes in the Bayesian context might be hiding some subtleties that make them
less applicable than you might think. In particular, there is a theorem due to Karl Popper,
and Miller, I don't know what Miller's first name was, but the Popper Miller theorem that David has been thinking about that he would argue, and I think, you know, there's a case to be made, makes it hard to accept traditional Bayesian vocabulary as how we really go about picking our theories. So that's a very interesting conversation to have. And another thing that David has been interested in is constructor theory. I don't know if you listened to the podcast we did a
ago with Kiara Marletto, who is David's collaborator in this, they've been developing literally
an entirely new way to think about what it means to do physics, to be a law of physics,
rather than having some dynamical law where you start with initial conditions and just chug forward,
they think about physics and not just physics, but also biology, chemistry, et cetera,
in terms of what is possible, what is not possible, and what kind of constructors can actually
make things happen in the world. I don't know. I still don't know after talking to Chiari and out of David.
I still don't know whether this is going to be super duper useful going forward. It might very well be,
though. I'm very open to that. I'm very interested in seeing where that goes. So we talk about that too.
We talk about the space of possibilities and how knowledge and explanation have burst onto the scene
in the universe with the advent of human beings and their brains. And he's very careful to say it's not just
necessarily human beings, aliens, computers could also qualify, but it's a dramatic shift
in how the universe evolves when you have systems that can think, store information, come up
with explanations, use that knowledge to transform the world around them. It's ultimately an
optimistic perspective on the world, and that's something we could all use a little bit more of,
so I think this is going to be a fun conversation. Occasional reminders that we have a
Patreon page here at the Mindscape Podcast. You can go to patreon.com slash Sean M. Carroll.
Kick in a dollar or two per episode and the benefits will just start flowing your way.
The benefits are not huge. But there's still benefits. You get an ad-free version of the podcast.
You get to ask AMA questions. You get to participate in those discussions. And also, after every
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John M. Carroll. With that, let's go. David Deutsch, welcome to the Mindscape Podcast.
Hi, thanks for inviting me. I have to start. We're going to get into substantive stuff soon enough,
but I've got to start with a question I've had for a long time. I believe that you are in the
audience for a seminar given by Hugh Everett at the University of Texas sometime back. Is that true?
Indeed, I was. Could you say, was that, was it actually kind of a form of,
experience? What was it like? What was you ever like? It was a memorable experience. I had imagined him
differently. And I knew that Wheeler invited him. I was quite excited that he'd invited him because
very few people were Everettians at the time. I suppose very few are now still. But then it was
It was, yeah, sorry.
This is the 70s?
This was, yes, in the 70s, late 70s.
So Wheeler had invited him and was treating him like royalty.
And one example I remember, I can't remember exact details,
but one example I remember is that there was strict no smoking rule in the seminar room.
And, you know, that was quite rare in those days.
I mean, it hadn't yet become ubiquitous like it is now.
But Wheeler asked for this to be waived in the case of Everett because he was a chain smoker.
He didn't stop smoking.
And so this, you know, leaning over backwards to make him feel comfortable.
And he gave a talk about the Everett interpret.
or Everettian quantum theory, as we now prefer to call it.
And then we went to have lunch because the graduate students and the postdocs and the faculty
on our floor often used to go and have lunch in one of the places in Austin.
And Bryce DeWitt contrived to have me sit next to Everett.
So I had lunch.
chatting to Everett, and I asked him some elementary questions.
I hadn't really started thinking very seriously about it,
and I was just very impressed that he was completely on the ball,
you know, up to date with all the nuances.
And so we had a nice chat, and that was the last I saw of him.
Well, that was my impression that I only got from finally writing a book about writing quantum mechanics
was that, you know, he only wrote the one paper.
And we've all known physicists or scientists who have the one paper and they move on and maybe
they were a right place, right time.
But you get the impression that he really did very much understand all the nuances that
were going on.
It wasn't just that he got lucky.
Yeah, very much so.
And I got the impression, although I know other people, you know, have a different history.
in mind. But I got the impression that he did not leave research in physics because he was disappointed
at the reception his ideas got or anything like that. He left it because he wanted to do other
things and to make a fortune and, you know, he did. You know, that's perfectly valid and I also
got that impression. And it sounds like you were Everett sympathetic even before that talk,
but did that inspire you to think more carefully about it?
was Everett sympathetic because of DeWitt.
Yeah.
So I was lucky in that respect.
So I met DeWitt and then a couple of years, I can't remember how long later Everett.
So I met DeWitt when DeWitt was on sabbatical in Oxford.
Ah.
And I was a graduate student.
I was a first year graduate student.
And there again, not by anyone's contriving, but by sheer chance, I was in Dennis Sharma's department.
And we went to have lunch at a pizza place in Little Clarendon Street in Oxford.
And I happened to be sitting opposite De Witt.
And I only vaguely remembered that De Witt had something to do with the Everett interpretation.
So I thought, well, I'll ask him.
And I asked him a very silly question.
I can't remember exactly what it was.
something like, you know, if there are many copies of me, which am I, or, you know, something like that.
Something as elementary as that.
And he was very kind and explained to me that this was not a good question.
And the way to think about this was, you know, and he explained to me.
And then I asked some more questions.
And by the time we'd finished lunch, I was completely.
convinced. I mean, previously I'd already thought
this was worth looking
into because
it was a
version of quantum theory that was
purely physics and didn't have any
kind of
psychology
or assumptions
about the brain
and that kind of things.
It was just how we'd been taught to
deal with theories.
But
But what convinced me was that lunch with Do It.
It actually leads in to the broader conversation
because you're giving examples of how the space of possibilities
in life is very, very large and tiny unexpected events
can steer you in one direction or another.
Well, yes.
I mean, I think that's true,
but I'm not sure that these examples were examples of it
because I'm not sure, well, I'd like to think anyway,
that I wasn't exactly steered.
I was just hastened.
I think I would have come round to this eventually,
if for no other reason,
then I would eventually have read Do It's work on this and Everett's,
and I would have talked to Wheeler about it
and been dissatisfied with his answer.
So, you know, I think that would have happened.
There's some convergent evolution there, yeah.
Yeah, exactly.
So good, we've already mentioned that there's a lot of things to talk about,
but I've chosen as the substantive starting point, monotony.
You gave a nice little TED talk on the end of monotony
and how we're moving into a different era.
I thought that the title of the talk was maybe not the most inspiring
and maybe you would get more clicks if it were not about monotony,
but maybe you could explain what the basic idea there is.
As always, the titles are not chosen by the author.
That title was not chosen by me.
So, yes, it seems that progress is not uniformly rapid.
And progress in various senses, like the origin of planets like ours
and the origin of life like ours,
and the origin of multicellular life
and the origin of
explanatory creativity
as in humans
and then the origin of the explosion
of the Enlightenment.
All those things happened
very rapidly after a long period of not happening.
And in all cases,
you can't really put your finger on
why it took so long.
I mean, I think in a couple of cases,
we'd say it's not surprising that it took so long
because it was rather a big step.
But why did it take billions of years in one case?
Why did it take thousands of years in the case of the Enlightenment?
We don't know.
But it appears it happens that way.
By the way, that's not, in case you're going to ask,
This is not punctuated equilibrium.
This is not a substantive theory about how or why adaptations or knowledge happens.
It's not that there's an equilibrium.
Like I think in none of these cases was there an equilibrium.
All of them were unstable to this thing happening.
So there wasn't an equilibrium.
and the punctuation didn't have anything to do with how it then went on.
It could have gone unstable in a different direction.
So this punctuated equilibrium, as advocated by Gould, for example,
in my view, is not a theory of evolution.
It's just at best.
It's a description of what sometimes happens.
Yeah, okay.
But is it all the words you're using,
about, you know, lasting a long time, then suddenly something happens. This sounds like
phase transitions and meta-stability to me as a physicist. Yes. So in some of these, so the difference
between phase transitions and all this other stuff is that we can understand, we can form a theory
of when a phase transition is possible and then when it will happen. And if it's too complex to work out,
then we can produce a better theory of it that predict it better and high-level theory and so on.
So it's a kind of deterministic thing.
And all the other things that I said are indeterministic things.
They are things that some people would say they're probabilistic,
but I think that's not a good enough take on it either,
because they're not something where the probability of it plays an important role
in why it happened.
You know, if multicellular life had a probability of 10 to minus 6 or 10 to the minus 7,
neither of, you know, per unit time or something,
neither of those explains anything.
And if we were told that the probability of multicellular life evolving per unit time
was actually one in,
in a million years, you know, we'd be wondering why it's a billion.
Yeah.
But saying it's a million doesn't help to explain why it was a billion.
You know, we'd need something else, something substantive.
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Are you pointing toward having a theory of why these things can bubble along,
unchanging for a long time, and then suddenly change gears?
No, I'm just being blindly critical of expecting everything to be known or expecting
every regularity or irregularity in nature
to have an obvious explanation.
Some of them have an explanation.
And when we find an explanation, that's great.
That's, you know, and I expect eventually we will find explanations for all these things.
And, but I don't like this jumping into thinking we know almost everything now.
We know almost nothing.
During the pandemic, I was tweeting all the time.
This isn't known.
Why are you writing as if this is known, whatever it was?
A lot of things were not known and a lot of things still aren't known.
That's perfectly fair, yeah.
So you point in the talk to the origin of life as something that really changed things,
that in a real sense, for billions of years, the things that existed in the universe were the same things that existed a billion years prior.
And something very, very new has come on the scene now.
Yes.
So the new thing is knowledge and knowledge of particular kinds in all these cases.
And some people will say, well, why is that particularly important?
You know, knowledge is important to us, humans, because our, in our, our,
our ecological niche depends on creating and manipulating knowledge.
But as I say in my book, if koalas could speak,
then they might say that eucalyptus leaves are important.
And the emergence of eucalyptus leaves was,
now I don't think that is so,
because knowledge is different from eucalyptus leaves,
both from the point of view of understanding it
and from the point of view of it affecting things.
So in terms of it affecting things,
an example that I like to cite is that we will soon be in a position
where the planet Earth will soon be in a position
where if asteroids or comets head towards it,
they will be repelled.
rather than attracted.
For all we know, every other planet in the universe
attracts asteroids and comets,
and ours will be the only one to repel.
Now, I don't need to say anything anthropocentric
to note that fact.
That's a physical fact,
and it's the same as the other kinds of physical facts
where we say, you know, this phenomenon is,
this phenomenon is different from that phenomenon,
or we want to explain why.
And the explanation in this case
is that there is explanatory knowledge on the earth.
And I like the way that you put it
that in most cases in the universe,
I'm going to paraphrase here,
but big things push little things around.
And knowledge has flipped that on its head in some sense.
Yes.
So that is exactly the explanation
for this purely physical thing that we have noticed.
And then it's also true the other way around
that if you try to understand what's happening on Earth,
then you will see, again, the example I give is that you will see people
in the laboratories where they are looking for extraterrestrial intelligence,
they will have a champagne bottle in the fridge ready for an event that they are hoping for.
And if you were an alien looking down on the earth with ultra-high power telescope,
and you noticed that that champagne bottle was there,
and you wanted to predict something about that champagne bottle,
will it always be there, will it stay there, when will the cork pop out, you know, that sort of thing?
In order to, and you'd see that it's not just SETI, I gave the example of SETI, but really any team that is looking for a breakthrough might have such a champagne bottle in their fridge, in their department.
And if you want to understand the behavior of those champagne bottles, you must understand not just humans, not just what happens on Earth, not just humans.
you must understand whether there's extraterrestrial life, whether quasars do this or that, dark matter, dark energy.
You need to understand basically everything before you can understand how champagne bottles behave on the surface of the earth.
And that, again, is because of the peculiar properties of explanatory knowledge.
I mean, maybe go into that a little bit more.
I mean, certainly it is a feature of life, even in primitive organisms, that living organisms have some information about their environment and use that.
They leverage it, right?
And human beings do so in a very more dramatic way.
Are you pointing to the latter there?
Yes.
So you might say this is only a quantitative effect.
but the difference between, as Richard Dawkins says,
every genome has got a blueprint of the environment that caused it.
So the environment that caused bats or birds or something tells us something about,
you know, if you didn't know the Earth had an atmosphere,
you might be able to infer it from the genome of bats or birds.
But that's very parochial.
The amount of the world that affects that genome is very tiny by cosmic standards,
whereas the connection that I just mentioned goes all the way to quasars and to the Big Bang
and to the end of the universe and so on.
There's nothing in the physical world that can't affect those champagne bottles.
and only, only via the intercession of explanatory knowledge.
And do you think that it's fair to attribute that to specifically humans here on Earth?
I mean, there's going to be a debate about what non-human species really understand.
Yes, so I prefer, when talking about these deep things,
I prefer not to refer to humans specifically because,
If there are extraterrestrial civilizations, for example, then they will necessarily have this property too.
Sure.
Because they couldn't have become civilizations and make flying sources and so on without explanatory knowledge.
And the same will be true once we have artificial general intelligence.
They will also have this properties.
I prefer to talk about all those kinds of things, kinds of entities as people.
Humans are people, extraterrestrials are people, AGIs will be people.
And I argue in my book that there's nothing beyond that.
There may be AGIs that think many times faster than we do,
but there aren't any that are in principle capable of,
like connecting the universe with champagne bottles any more than we can.
That's a crucial point. I wanted to get into that.
So you think that we have crossed some threshold where things that are understandable,
we can understand in some sense.
Yes. I think we have.
And I think I have a watertight argument for that.
So what is that?
Well, so it's in two parts.
So I think human brains have two kinds of universality that are essential to this.
One of them is fairly uncontroversial among sort of scientifically minded people.
And the other one is very controversial.
But I think just as compelling.
So the one that's uncontroversial is that our brains are two incomplete.
That is we can execute any program that can be executed at all.
Now, you know, it might take us more than a lifetime.
It might require more memory than we have, but we can augment our memory.
We can augment our lifetime either by living longer or by having a tradition of doing certain things over generations.
So those things aren't essential.
We're accustomed to saying that the computers that we're having this conversation over are touring complete,
even though they have only finite speed and finite memory capacity.
But we know that those are trivial restrictions because they can, however complex the program that we want to execute with them,
we could do it if we had a bit more memory and a bit more speed.
Maybe for the audience, define what it means to be Turing complete?
This was defined by Alan Turing in 1936 when he set up the modern theory of computation.
And he invented these what we now think of as rather strange computers.
But they were strange.
They made of paper tape and could move backwards and forwards
via a reader.
And he proved mathematically that a particular one of these could compute anything that any
other one could.
And this was a bit of pure mathematics.
He also conjectured that the set of all of them was the set of all things that could be computed.
In other words, that his model of computation was complete.
There's nothing could compute any more than that.
He conjectured it, but once we went to quantum computation, I was able to prove that given quantum theory.
So if quantum theory is false, it might still be false.
But if quantum theory is true, then Turing's conjecture is now proven.
So we know that there's only one kind of universal computation and that there's nothing beyond that.
I think that maybe people have heard that before, but I think maybe it just hasn't made as much.
much of an impression as it should.
I think this is worth shouting from the rooftops, right?
Like, not only can we calculate things and compute things, but we have very good reason
to believe that even if we're slow and we make mistakes and whatever, but the kinds of
computations that can be done are kinds we can do.
Yes.
So we're as confident as we can be that when the aliens visit us or when the AGI become our new
overlords that they will not be able to compute non-turing computable functions.
Right.
So that's as, or more, more known to us than other bits of science or bits of physics.
So that's the uncontroversial part, although you say many people aren't,
You know, it's not so familiar to many people, yes.
The other part is, I think, and that's a, by the way, Turing completeness is a property of hardware.
It's the property of the brain.
It's the property of computers.
The other kind of universality, explanatory universality, is a property of software, which I say we have.
We have that proper.
Our software has that property.
and no other surviving organism on Earth has explanatory universality,
although we know basically for sure that there used to be species related to us on Earth
that also had explanatory universality,
and they died out, which should be a warning to us.
What do we have in mind there?
Well, like Neanderthals and I think going back to,
Homo erectus.
I mean, anything that had campfires necessarily has the thing that we have.
There is only, again, there aren't gradations of it.
In the same way, there aren't gradations of Turing universality.
You either have it or you don't.
It's possible that you're rather impeded in using it because you don't have enough memory or whatever.
But the basic thing is all or nothing.
And I think the same thing is true of explanatory universality because this, if I can put it in my idiosyncratic way, which I like, it's to do with optimism.
So the principle of optimism is that everything which is not forbidden by laws of physics is possible with enough knowledge.
And the argument for that is that if there was something that was forbidden,
sorry, that was permitted by laws of physics,
but could not be attained no matter what touring computable program we ran in our brain
to do the thing, then it wouldn't be.
That is, it wouldn't be possible.
And we could then test the scientific theory,
that that thing isn't possible after all
and that what we thought of were laws of physics
were in fact not sufficient laws of physics
there would be no matter how we tried
no matter what we tried
we wouldn't be able to do this thing
like exceeding the speed of light or whatever
but it would be like that
if it was you know
building a certain tower or building a certain society
you know either
either it's forbidden by the laws of physics
or it's permitted
because if it weren't
permitted, then you could do this experiment, and by the definition of science, you could
set up a refutable theory and then so on. So I think that's, that's, I think there's no getting
round that. And therefore, I think that just as there is only one kind of hardware universality,
there is also only one kind of software universality, and that's the kind we have. Do we have
a definition of explanatory universality that is as rigorous and mathematical,
as Turing completeness?
No.
Okay.
Because there's a quite deep reason for that.
Explanations, it's because you can't formalize the notion of an explanation.
You can always invent new modes of explanation.
And they are conjectures like any theory.
So you might conjecture that so-and-so is a good mode of explanation.
and the openness of science is connected with the non-formalizability of explanation.
And by the way, that's exactly the same as the non-formalizability of mathematics.
Oh, okay.
So, you know, you can't formalize what is a valid proof.
Because however you formalize it, you can prove that there will be mathematical truths that can't be reached by that.
formalism. So is it then fair to say that even if we don't have a rigorous mathematical definition
of explanatory universality, we have a rigorous mathematical understanding that we never will have
a rigorous mathematical definition? Yes. Actually, an interesting point, I never thought of that.
Yes, I think we do. This is Matt Rogers from Los Angeles with Matt Rogers and Boen Yang.
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Okay, good.
Very good to know.
But this leads you to,
I want to sort of finish up the monotony discussion
by reinforcing your optimism that you already mentioned.
You make a good case, you know,
gently laying it out that we're just at the beginning
of truly transforming the universe
based on this knowledge and explanatory power
that human beings have developed?
Yes, I think that is necessarily true
because the openness and the unboundedness
are really the same thing.
And again, the same thing is true of mathematics.
I mean, we know that there's an infinite amount of mathematics
to be discovered, even though in the case of mathematics,
there's a lot of it that we can't discover,
unlike in the optimism case.
But although I have a conjecture
that we can discover all the interesting things,
which are also infinitely moving.
Well, you have mentioned a couple times AGI,
artificial general intelligence.
I take it that you're relatively optimistic.
That's on the way?
Depends what time scale you're talking about.
about. I don't, I think we do not have the slightest clue how to make an AGI.
Okay. I think the the, the, what's standing between us and making an AGI is is an explanatory
theory. It'll be a largely a philosophical theory rather than a computer science theory or
mathematics or physics or anything like that. It'll it'll be a new way of looking at what
creativity is, what explanation is. And I think.
think that qua
computation,
qua computer program,
I would expect it to be very
simple, relatively simple.
So it's not going to
be reached
by more and more
billions and trillions
of bits of data.
That's not the kind
of thing it is. We
differ from
monkeys who have brains
very similar to ours
or apes, the great apes, we differ from the great apes only by a few k of code.
In that few k of code is the bootstrap program or bootstrapping this qualitatively different type of
program that we run, you know, infinitely different.
So you ask how optimistic I am.
On the one hand, I think that with a hindsight,
we'll realize that there wasn't much to it.
All we have to do is write this program over a few K.
And we're done.
On the other hand, I see no sign of the philosophy that would allow us to do that.
And it's rather like the question of what is life, what that was like in, say, 1800.
people had some, you know, people want, some people wanted life to be explicable as an ordinary physical process without any supernatural.
Without any magic, without any God, just laws of physics.
And no one knew how to do that.
They had vague ideas like Lamarck and Darwin's grandfather had ideas that maybe it happened gradually.
Maybe it happened very slowly.
They didn't have the idea of genes, and they didn't have the idea of mutations and natural selection.
And that solved it.
And you could write down that idea in one paragraph.
That's very easy.
Darwin felt the need to write a whole book and probably rightly, because from that paragraph, nobody with him would have understood it.
And it's possible that the idea that will open the door to AGI is that kind of idea.
There will come a time when everybody thinks it's obvious and that we in our time were being obtuse for not seeing it.
But from this end, it might be very, very difficult.
But it sounds like it also could be an example of what we started by talking about of we're percolating along in a kind of steady state for a while,
and then there'll be a sudden change.
Yes.
Hard to predict.
That certainly was the case with Darwin,
and it also was the case with Turing.
Yeah.
That, you know, Babbage and Lovelace had the idea.
They very nearly had the idea,
but they were unable to persuade anybody.
They thought it was really important.
No one else did.
Yeah.
And then Turing, I don't know how long Turing's idea
would have purpose.
if it hadn't been for the Second World War.
So, you know, although I don't think it would have been centuries,
but, you know, it might have been a couple of decades more.
Before anyone thought of actually making these things, which, you know,
people thought of this as being a bit of mathematics.
It's very hard to get into that mindset because we've got computers all around us.
I mean, I'm wearing one on my wrist.
You know, that would have been an alien connection.
conception a hundred years ago.
So there does seem to be some similarity here, but you'll tell me whether it's a real one or not,
between this idea of our ability to do during complete calculations, get explanatory universality.
Now we puny humans can change the universe in a profound way.
Does that have anything to do with constructor theory, which is another thing that you have introduced to the world?
Yes, I can't yet give chapter and verse, but I think it's very much to do with it.
For example, in the theory of computation, the first thing we work out,
or the Turing worked out in theory of computation, is that there's a distinction between
functions from the integers to the integers that can be computed and those that can't be computed.
Similarly, in physics, we have physical transformations that can be.
brought about and the ones that can't be brought about. So going faster than light, can't be
brought about. Going to the moon can be brought about. So there's this distinction. The basic idea
of constructor theory is that all the laws of physics can be expressed in such terms,
in terms of a distinction between what can be brought about and what can't be brought about.
And then, and we haven't done that yet, I mean, we've basically done it for quantum theory,
which was the easiest case,
and we were kind of modeling the constructor theory
on the existing quantum theory,
very conducive to it.
And my colleague, Kiara Moleto,
has also done it for thermodynamics.
So once we have done that, as it were,
or at least conceptually,
once we have understood
what expressing all the laws of physics
in constructive theoretic terms
would look like,
then we can ask,
the next question to ask,
actually I'm already asking it,
but I'm jumping the gun.
Is there a universal constructor?
Now, von Neumann asked that question,
but that's only because he gave up on the idea.
He wanted to have a theory of constructors,
what we would now call constructors,
in order to understand what life is.
This was before DNA and before DNA was discovered and invented
what the theory was discovered.
but he was unable to.
And so he invented the theory of cellular automata instead.
And he invented the theory of universal constructors within the theory of cellular automata.
But that's not what we want in physics.
What we're trying to do is to set up a theory of constructors and of the universal constructor within physics.
So now then is there, and we don't have a proof,
but again, it's very connected with the principle of optimism.
Is there a principle that says the things that can be,
transformations that can be brought about are precisely the ones
that a universal constructor could bring about?
And that's, as you see, I mean, you're nodding,
so I see you're sympathetic to the idea that this is close to Philadelphia,
philosophical idea of optimism and so on.
And also that means that human bodies are a kind of hybrid thing.
Like our brain is both the controller of a universal constructor, which is the human body,
because a human body can, or at least in cooperation with others, can build a computer
which can build a universal constructor and so on.
But it's also the programmer.
It's also the entity that creatively invents the programs,
which a universal constructor is not allowed to be creative.
It has to be perfectly obedient.
So obedient is the opposite of creative.
So the universal constructor is like a universal computer.
If it's not going to obey its program,
it's not a universal computer.
And the same with the universal constructor.
But our body, as you said earlier, you know, it's imperfect, obviously.
It doesn't always obey what we tell it to do.
But those are errors which can be corrected.
And in principle, these corrections can be achieved with sufficient knowledge.
So it's all down to knowledge.
So constructor theory is all down to knowledge ultimately.
And same with epistemology and you,
Same with everything.
And we are going to get there.
But I guess I would just like to clear up.
I did have Kiara Murletto on the podcast before.
We had a wonderful conversation.
Oh, I can know.
Yes.
But even though I understood much more after talking to her about constructor theory that I did before,
I still think there's this lingering sort of naive physicists' question,
which is if I have a planet orbiting a sun and I know its position and velocity,
Newton's laws tell me how to calculate Kepler's laws, that it will go in an ellipse and things like that.
How or why should I think about that kind of problem in terms of what can possibly be done and what cannot possibly be done?
I mean, why is that a useful or allowed reformulation?
Well, it's not a reformulation.
So that type of question, like what will the planet do?
you know, will it move in an ellipse, that kind of thing.
That set of those questions is a subset of those that we really want to know.
So, for example, we want to know, are we safe from, to take a thing we mentioned earlier,
are we safe from asteroids?
Yeah.
Well, for that, we want to know what kind of asteroids can be deflected.
Okay.
Now, existing ways of formulating physics can answer questions like,
what kinds of asteroids can be deflected with chemical rockets and telescopes that see the asteroid
from such and such a distance and so on.
But we're not really interested in that.
A little bit we are.
Yes, in the immediate sense we are.
but what we really want is to be safe.
And we want to be able to say protecting the earth is possible.
Then we can work out what kinds of things would be needed.
And then we can use the existing type of laws of physics to work out numerically what will be done here.
But this is different from, say, can we visit other stars?
Well, there we've got a hard limit of the speed of light.
So then if you ask a constructive theoretic question about that,
you will immediately come to what do you mean by visit.
Sometimes visit are possible, sometimes a visit are impossible.
And that is compulsory, provided that the laws of physics are what we think they are.
In other words, provided that their dichotomy, the dichotomy that the existing laws make between the possible and the impossible is what we think it is.
It might not be.
Constructor theory won't claim to be the final truth about everything or even anything.
But I guess the thing I'm still not clear on then is constructor theory might say that a planet can move in an ellipse.
Is it supposed to also be a way of figuring out the planets move in ellipses or does it just say refer to Newton's laws for that?
So it's not Constructed Theory itself.
So Constructed Theory is a kind of meta law like the conservation of energy or something.
To derive a actual experimental conclusion from the principle of conservation of energy, you have to know what the energy of a particular type of object is.
is as a function of its parameters.
Yeah.
You know, it's half mv squared or something.
It's kinetic energy.
Now, if you didn't know it was half mv squared,
the principle of conservation of energy would tell you nothing about how it moves.
Fair enough.
So that principle is a framework within which theories can be formulated.
So if we formulate a theory that violates the principle of conservation of energy,
we know that we're postulating something very significant.
Yeah.
Because we consider that.
principle to be to be an overarching principle that that governs other laws now
constructor theory is intended to be such an overarching principle so things
can be expressed in constructive theoretic terms and the in other words in
terms that the that will say for example what can be done to a planet to
make it do a certain thing what what transformation
can be done to it and what can't.
And now a special case of that is, supposing you don't touch it,
what can be done to it without doing anything to it.
Okay, but that's a tiny minority of the possible interesting questions.
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One of the, I would imagine, hoped advantages of constructor theory
is that it kind of crosses levels, right?
I mean, we can talk about biology and chemistry and physics
all under the same umbrella.
Yes, very much so.
And so probably Kiara already told you
that thermodynamics is a prime case of this,
because in thermodynamics, we really,
don't want to know what the specific physics of the stuff we're dealing with that do work
and they have heat and so on. We want principles that transcend that and talk in terms of those.
So we want to say for all theories that govern a thing, you can't convert all its heat into work.
Right.
And if you had a theory that violated that, you'd be doing, you.
You'd be proposing a momentous thing.
And you'd be proposing that the second law is false or that kind of thing.
We're hoping that the same thing will be true of constructive theory,
that there will be momentous principles of constructive theory,
which on the one hand will constrain other theories.
And on the other hand, will give a deeper understanding of why subsidiary theories,
other theories have the properties they do.
We know why kinetic energy in the Newtonian approximation
is half mv squared and not half mv cubed.
And we know that because we've got a deeper formalism
now underlying that which Newton laid down,
which Newton didn't know anything about energy.
Right.
But we know now.
Actually, I think he did.
I read somewhere that you can ask Julian Barber about this.
I think Newton did know a lot about what we now call modern theory of dynamics or Lagrangian or Hamiltonian dynamics.
But he decided not to include it because it was irrelevant to what he wanted to show.
He wanted to have three laws of motion better than five.
Yeah.
You know, so, and exactly how you work this out.
Well, he didn't know the immense power of modern ways of expressing his theory.
So I think he wrote down some of these laws.
And like Galilean invariants, for example, he definitely knew about that.
Right, that he definitely knew about.
Yeah, it is interesting.
So I perceive dimly through the mists a connection or at least an intellectual affinity
between the idea of separating out possible transformations from impossible ones
and a kind of Popperian epistemology about, you know,
possible worlds that are allowed by the data and possible worlds that are not.
Is that, am I making that up or is that there in your head too?
That's definitely there.
So Popper taught us that the content of a theory is, of a scientific theory,
is in what it rules out.
And, you know, if you just took that seriously as the basis of your worldview, you'd immediately come to constructor theory because then you'd say, well, what does it rule out and what doesn't it rule out? And the distinction between those two is the theory.
Popper never said that. You know, if he had said that, then he could have discovered constructive theory. There you go, yeah.
But yes, it's very much connected.
And it's also connected with, at the same time, it's also connected with optimism.
Because Popper's philosophy, you know, he explicitly said it's our duty to be optimistic rather than, I've forgotten the quotation, but it's something like, rather than complain about how things are, it's our duty to make things.
how they ought to be.
And it's something like that.
Okay.
So all these things are connected, yes.
And so let me confess, maybe you already know this,
but I have long been an evangelist for Bayesian reasoning and epistemology.
And I'm fascinated by the fact that you more or less thoroughgoingly reject it,
or at least, you know, in certain cases.
So, I mean, explain what your objections are to that, because it's, it's,
subtle but potentially super important.
Yeah, I think it is super important, but it's not.
So quite a lot of different things are called Bayesianism.
Yeah.
And I don't know which of them you are, you know, actually attached to.
Right.
And which kind of come along for the ride.
So I specifically object to Bayesian epistemology,
which is the theory that, the theory of knowledge,
that knowledge consists of propositions in a rational mind,
each of which is accompanied by a number,
not literally, but implicitly.
And that these numbers obey the probability calculus.
And that when we say that we have improved our theory,
we mean that we've increased,
when we say that we've objectively improved our theory, we mean that we've increased the credence, the probability of true theories, and decreased the probability of false theories.
So I'd rather not call that thing, those numbers that are supposed to be in the brain, I rather not call them probabilities at all.
So I try to only call them credences.
That's fine.
Because they are, first of all, I don't think they exist.
And secondly, if they do exist, Popper and Miller prove that they don't obey the probability calculus.
So, and couldn't.
So, and the key to understanding what Popper and Miller did, as you know, I'm writing a paper about this with my,
other colleague, Matyash Leonidas, we have been writing it for years.
So it's quite a thing to get one's head around.
But the thing we think is the key nowadays is that increasing your credence.
So, okay, let me backtrack a bit.
If we were talking about logic, then it would be the case that if you prove a thing,
logically, you've also proved all its consequences.
Right.
No matter how arcane the consequence, you know, you prove this.
You can't both assert a hypothesis and deny any of its implications.
Now, the thing to concentrate on in why Bayesianism is a Bayesian epistemology, sorry,
is a bad idea, is that this isn't true of probabilistic reason.
So you can have some evidence that increases your credence for a theory.
Oh, and now I have to stress that I'm now talking in terms of credences, which I don't think
exist.
So rather than...
We'll let you do it.
Sorry?
We'll let you do it.
We understand the conditional nature of your statements.
Yeah, yeah.
So rather than say at the beginning, I'll say at the beginning that in arguing about
based in epistemology, almost every sentence would have to be prefixed with assuming that credences
exist and obey the probability calculus, then so and so.
Okay.
So the key is that a piece of evidence can increase the credence of a general theory while decreasing
the credences of its consequences.
And then one has to ask which consequences, because we're only interested in some of the consequences of a theory.
So, you know, it might be that it only ever decreases the credence of some uninteresting consequences.
And when Popper and Miller approved their theorem, some people took that tack in criticizing it and saying,
well, yes, it decreases the credence of some of its consequences, but those aren't interesting consequences.
consequences. So, but Popper and Miller also showed that they actually provided, approved a criterion for which consequences are, have their credences increased and which have their credences decreased. And the, the, the answer is, the ones that have the credences, the credences,
increased the most are the ones that just restate the evidence, in other words.
The ones whose credences are increased but not that much are ones that are very close to the
evidence.
And then there are most of them, most of the consequences, the ones that are not implied
in whole or in part by the evidence.
I should say that implying in part is a can of worms
because all theories imply tautologies.
Therefore, a theory and its negation and everything.
So there's no way of ripping apart
one set of consequences from another.
This is why it takes a long time to write the paper.
I get it, yeah.
Yeah, yeah.
They just wrote down there.
They were satisfied as writing down the truth.
It only took three or four pages.
They sent it off to, I think, British Journal for the Philosophy of Science and also to nature.
The papers were accepted.
Some people got very angry and most people didn't notice.
And we think that everybody should notice and nobody should get very angry.
This just
So their theorem
shows that
the only way
that interesting consequences
of a theory
have their
credence increased
is if they have a lot
in common logically
with the evidence
if they're just
either restating the evidence
or almost restating the evidence.
Now is that necessary
or does that happen
depending on what your other possible propositions are?
So the way we prove it is we take the set of all possible propositions expressed in terms of possible universes.
We are quite like that framing.
So a proposition or a theory, again, it's a bit like constructive theory.
A proposition sets up a dichotomy between.
The universes whose existence is denied by that proposition,
in other words, the universes which couldn't exist if the proposition is true
or couldn't be the real one if the proposition is true,
and those that could still be the real one if the proposition is true.
You can express it in terms of the set of all propositions
or the set of all dichotomies between universes that can and can't exist,
according to a particular proposition.
Another thing it's independent of, so if you're a Bayesian, so there's my prefix again,
if you're a Bayesian, you will want to have a probability distribution function over that set of propositions.
Yes.
And you'll want it to obey the probability calculus.
Now, Popper-Miller theorem is independent of what that distribution is, so long as it obeys the probability
calculus. And obeying the probability calculus just means there are numbers between zero and one that add to one.
Yes, but there's also relative probabilities. Yeah, right. Yeah. So yes, that's just that's all
that. That set of ideas. Yeah. Okay. The result that about the result about the only things
whose credence goes up are the ones that are basically restating evidence or something like that is
independent of the priors. It's independent of the prime.
probability, a credence distribution function.
Okay.
So their theorem is true regardless of credence distribution function.
Not that there aren't other things very wrong with the idea of a credence distribution function,
but at the moment we're assuming Basin epistemology.
And I should say that other parts of what's sometimes called Bayesianism, for example,
the fact that it's a common mistake to use absolute probabilities when one should be using
relative probabilities, and that's a common mistake that one should avoid making.
That's untouched by the Bobo Milit theorem.
That's true, and we have no quarrel with that.
It's just Bayesian epistemology that is the theory of knowledge that says that we obtain
knowledge by increasing our credence for true theories. That's the thing that's false.
So is it possible to articulate what explicitly goes wrong with an idea that I would happily
tell people that, for example, we have two theories of dark matter. We have their weekly
interacting massive particles or their axions. And we have some credences on one, the one theory
is right, the other theory is right. And we go out and do an experiment and we rule out some
a parameter space and now we can use Bays' theorem to adjust our credences accordingly.
Is that okay or is that problematic in your view?
The way you said it literally is very problematic.
Okay.
What you're informally referring to happens all the time and is perfectly legitimate.
And so let me try and say what the difference is.
So the picture of not.
and the growth of knowledge that we have in Bayesian epistemology is that all these propositions are kind of in the frame.
We're trying to rule out some of them, increase our credence for others.
In real life, what we're seeking is good explanations, and they are very rare, and they do not obey,
not only do they not obey the calculus of probabilities, they don't even obey ordinary logic
in this, they don't model ordinary logic.
For example, my favorite example, the negation of a, of an explanation is never an explanation.
So if you say the gravity is caused by the curvature of space time, that's a theory,
that's an explanation of, you know, an amazing explanation of why we,
we appear to feel forces and all that.
To say gravity is not caused by the curvature of space time,
doesn't explain anything.
It doesn't even purport to explain anything.
Like, it might be part of your psychological journey
from Einstein's theory to quantum gravity or something,
but it in itself doesn't tell you anything about quantum gravity.
It doesn't, you know, I can prove that to you now
because we don't have a theory of quantum gravity that works.
I can prove to you now that merely saying Einstein's theory isn't true doesn't tell you anything about contragravity.
So that means that the whole, you know, if even logic doesn't model what we're doing, then certainly the probability calculus doesn't.
And then there's this paradox of the intransitivity of support, which as the logicians call it, there was a logician called Hemphillus.
who many decades ago proved some theorems.
And so can I quickly explain what this infanticity is?
Again, it's just to stress that increasing the credence for a theory
does not increase the credence of its consequences typically.
Only very rarely does it, and those are the uninteresting cases.
Let me borrow the Linda example.
you know, carneman and so on.
Okay, yeah.
You have Linda who we're wondering whether she's a banker and a feminist.
So Linda's going to turn out to be a banker and a feminist.
So, by the way, this isn't the carnament thing.
I'm just stealing the example.
We're interested in the theory that Linda is a banker and a feminist.
That's going to be our theory that we're wondering about.
So then we find that she's a banker.
You know, we get evidence of that.
We see her going to a bank every day to work and so on.
And we increases our credence to nearly one that she's a banker.
That will support our theory that she's a banker and a feminist.
And once we believe that she's a banker and a feminist, we can go on to deduce logically that she's a feminist.
So we've gone by probabilistically from her being a banker to her being a banker and a feminist.
And from that we've gone logically to being a feminist.
But her being a banker is no kind of support for her being a feminist.
So there's a non-transativity there.
In fact, her being a banker is probabilistic evidence against her being a feminist.
And that is assuming that the prejudice is embedded in that example.
For purposes of the story, yeah, we'll go with the prejudices.
Yes.
So you have banker sort of being a banker supports being a banker and a feminist.
Being a banker and a feminist supports because it implies being a feminist.
So A implies B, B implies, sorry, A supports B.
B supports C, but A, counter supports C.
And so what Popper and Miller perhaps should have asked at the beginning of the paper is
which implications of a theory are supported by evidence that supports the theory.
And they should have said then, we shall prove actually very few of them.
So I guess I don't quite see the force of this.
example in this case because I completely agree that the evidence that Linda is a banker
increases credence that she's a banker and a feminist. It also increases our credence that
she's a banker and not a feminist. Yes. So I don't see how I would overall increase my
credence that she's a feminist just from that evidence. Well, your credence that she's a feminist
has increased from what it was before. Now, it's true.
true that your credence that she isn't a feminist has also increased.
That sounds like just a mistake.
Is that...
Sorry, I misspoke.
One or other of them will increase, which highlights the issue, if we trust a theory more,
when and why should we trust its implications more?
Note that what we're really after is explanatory theory.
That's why the original Kahneman sort of example.
doesn't work properly because they lure us into trying to think of an explanation
by telling us all sorts of explanatory content that is relevant to whether she is a feminist
or a banker or both.
And then they completely discard it and ask the question, is it more likely that she's a banker
or that she's a banker and a feminist?
None of the story that we're told before that is relevant to that question.
Well, they were psychologists.
Not logicians, right?
Yes, yes.
Well, we're, no, no.
We're scientists.
Like, we want an explanatory theory.
We would like to have, perhaps in an ideal universe,
we would like to have a way of deducing the true theory.
But there is no such thing.
Yeah.
The only thing we can do is go for explanatory power
and go for good explanations.
And in the case that you talked about, the dark matter, dark matter and so on, we don't have infinitely many theories.
We have a handful of good explanations which are good only in so far as the other theories exist.
If the other theories didn't exist, any one of those would be our explanation, would be our sole.
explanation. And we would go around behaving as if we knew it was true. That's the only kind of
knowledge available to finite beings. But in this case where we have two plausible, pretty good
explanations of the same set of phenomena, and we have to make decisions about where to spend
money testing them and, you know, who to hire in our physics departments, how can we not say
that we have credences on these different proposed explanations?
Well, we can have credences as long as they don't obey the probability calculus.
So if you have a credence, wait, let me first say, maybe this is relevant.
You can tell me whether it is.
The Bayesian framework for credences does not allow you not to know something.
So not knowing, we don't know which of those theories is true.
Right.
And we don't expect to get to the final truth, even once we do know more than we know now.
So we're after good explanations.
That means that things we do not know, like are we in an alien simulation?
We don't know that.
It's meaningless to say that we're going to give that a credence of 0.5 or a credence of 0.99.
Nor, by the way, is it meaningful to ask, do we have a credence for Bayesian epistemology?
What is our credence for Bayesian epistemology?
Is it 1?
Or is it 0.5 or is it 0.99?
now I can remove the prefix and I can say none of those things make sense.
We decide between theories of dark matter or theories of epistemology according to how well they explain what we want to explain.
So when we're asking which one we want to fund, which theory we want to test next, we're asking not our credence for the theories.
We're asking for the credence of, we're asking for judgments about what the prospects for increasing knowledge are.
So, you know, I think that quantum theory is definitely false.
I think that general relativity is definitely false.
And I also think they contradict each other.
And therefore my credences, like if I talk about my beliefs for those theories,
they definitely don't obey the probability calculus.
Because if they did, my credence for one would be one minus my credence for the other.
And yet I have a very high credence for both of them.
So probability doesn't provide a proper model for my attitude towards theories.
And it's the same with the different theories of dark matter.
What we want to do is to do an experiment.
Ideally, we'd like an experiment that is a crucial test between two of them.
course. After which, one of them would have zero credence. So it's not a matter of credences going up and
down. Really, credence had provided you are confident that the experimental setup is right.
You know, Duham and Quine pointed out that we can't always be sure of that. And in fact,
ultimately, we can never be sure of that because they're always the aliens with their virtual
reality machine that might be misleading us. So, probably,
doesn't come into any of this.
We want to take into account things like
how good an explanation was it in the first place?
If it's a good explanation, can we rule out a bad
explanations that we don't have to consider it anymore?
Or can we fail to rule it out, in which case we'll have to consider it
more than before?
How expensive are these experiments?
We cannot work out how much money.
to spend on testing each experiments by using classical decision theory and seeing which one
has the highest expectation value of the benefit that we will get from knowing things or not
knowing things because we don't know what the outcome is going to be. The outcome, you know,
the best thing that can happen in the experiment is that you get an outcome that you didn't
foresee. But if you didn't foresee it, you also didn't foresee its probability.
What is the probability that doing an experiment on knocking a comet out of the way will tell us something about dark matter?
Well, we don't know.
But we don't know that probability and that probability is irrelevant.
What we can use is our best explanation.
We can see that none of our explanations of dark matter say that it will affect comets.
and if one of them did, then we would ask, well, can we test this?
Or is it the kind of theory like, well, it could be so, which is always true, but it's a bad explanation.
We judge on the explanation, not the probability.
So if you're alive at the time of Kepler and Galileo and those people, then you're not
looking for a high probability theory that the theory that the planets move on epicycles has got a
far higher probability than that they move on ellipses because an ellipse is a kind of epicycle.
So by the Linda argument, Galileo should have preferred the epicycle theory because it's far,
far more probable than the ellipse theory.
But he didn't.
He preferred the circle theory,
which is even less probable than the ellipse theory,
because given what he thought he knew,
it was a better explanation.
Because if it's an ellipse,
then you've got to explain more things.
There's more things remain unexplained than if it's a circle.
So, you know, what's the eccentricity of the ellipse?
With a circle, you don't have.
that question. So he thought there's going to be a way of making circles work. See, he wasn't
looking for a high probability. If anything, he was looking for the lowest possible probability
that's still viable as a theory. And that's what we do in science when we're looking for general
theories. It's a bit different when we're looking for a particular theory. Now this comes back to
other uses of basis theorem.
If you're a doctor and you want to know whether a particular patient has got like dengue fever
or something, then, and you ask them, well, have you been to the Far East lately,
then you're asking for something probabilistic.
If I bend over backwards, I can call that probabilistic.
It's really that he's looking at frequencies.
first of all, not probabilities.
He's looking at, you know, there's only a finite number of people
that have been to the Far East, the finite number
who have got infected with the dengue fever.
He's approximating those frequencies at probabilities,
and he's using the approximation
that his putative patient is randomly chosen
from the set of all those people,
which he wasn't.
He wasn't, but he's using that
because he doesn't know.
But does that mean that he's giving
the doesn't know a credence of one half?
No, he's using it because he doesn't have an explanation
of the patient's contact with dengue fever
apart that doesn't include going to the Far East.
Now, if they said, well, I haven't been to the Far East,
but I have been to a lecture that was attended,
that was attended by,
scientists who've recently been to the Far East, then that would change the priors.
Okay, call those the priors, but it's just, there's actually just changing the numbers
in these frequencies.
So it's sometimes a good approximation to approximate frequencies by probabilities,
or rather by numbers that obey the probability calculus.
Okay.
They don't increase our knowledge.
You can't increase general knowledge that way.
You can't decide between general theories in that way
because the set of individuals is infinite there.
So it won't work there.
It's clear that the idea of a good explanation
is kind of crucial here.
How clear and formal can we be about what is a good explanation?
Well, as we agreed earlier, you can't formalize the concept of a good explanation.
Yeah.
You know it when you see it?
Sorry, go ahead.
You know it when you see it?
No.
So it's not like a matter of taste.
It's a matter of philosophy.
So we can make progress in philosophy by the same method.
That is by saying that, you know, we're going to exclude solipsism because solipsism could explain anything, could, quote, explain anything.
And we're going to exclude the doctor saying, well, the patient could be lying, could have been anywhere, therefore I don't know, and I've got no way of assessing whether they've got dengue fever or not.
You also exclude that because that is always true and would always short-circuit any kind of trying to approach the truth.
But trying to approach the truth about general theories means that like solipsism or something means that you have to adopt the criterion of a good explanation because, well, this argument that an explanation,
that can explain anything is a bad explanation, I think, has got a transcendent
compulsiveness about, compellingness about it.
Yeah.
Which doesn't involve any axioms.
Like, we're not making an axiom of using the best explanation, because if you
make an axiom, you'd want to have a precise definition of the terms in the axiom.
But somebody, like I said earlier about principle of conservation of energy and that kind of thing,
if you want to say that bad explanations are actually acceptable,
you've got to realize that you're climbing up a philosophical mountain by saying that.
You can't just say that just to justify your own theory to say that actually mountains don't exist.
because anyone could say that about anything.
And if you say, well, no, although anyone could say it, I'm saying it, and there it's allowed.
Well, it's got an obvious flaw in it, that way of arguing.
One thing, that was very helpful, but one thing you said along the way,
I can't quite let you get away with, or at least I want to hear more, namely that you're pretty sure quantum theory is false.
Yes.
In what sense do you feel that?
So pretty sure.
And I'm not saying I've proved it.
So several things.
The main one is what I mentioned about its conflict with general relativity.
So in general relativity, we know that the behavior of an object like a planet or whatever is
dependent on the behavior
or another object like the sun
and that this is mediated
by a field
which travels at finite
speed.
We don't have a theory of
what, and quantum theory tells us
like with equal confidence
that the sun isn't just in one
place. The
sun is in a superposition
or more generally in
a mixed state
where it has many different
positions simultaneously.
And although some of them are pretty close to where we see the sun, some of them are a long
way away.
We know that because of the instability of classical mechanics, the sun has been involved in lots
of interactions and some of them will have been chaotic and therefore the end result
will have depended sensitively on the initial result.
these positions of the sun that were initially very close to each other will get very far away.
And therefore, according to quantum mechanics, some of the suns are far away.
And relativity does not, and quantum mechanics, neither of them, have a way of telling us
that the sun's effect on planets is different in different universes.
I can say that in words, but I can't say it in equations.
and therefore we don't have the right equations.
Would you not, I mean, I get everything that you said,
but then I want to just say there are different branches of the wave function
where there's a good semi-classical approximation
and general relativity works pretty well.
So when I say that the theory is false, I mean that it's not true.
I mean, I'm using the words true and false in the sense in which they're used in logic.
There is no excluded middle.
Sure.
So if it's certainly both relativity and quantum theory are extremely good approximations in the situations where we want to apply them.
It's not so clear that we won't very soon be applying them in other situations like in the early universe where we want to explain something like the distribution of.
microwave background radiation over the sky,
where there are billions of light years involved,
and this is all due to something that happened
on a scale smaller than an atomic nucleus,
originally, where definitely quantum effects were dominant.
And we don't know what those were
and how they affected gravity and dark matter
and space time and so on.
So how close a theory is,
how good an approximation is,
depends on how you want to use it,
how good an approximation theory is.
So, yes, certainly good approximations for practical purposes,
but so is Newton's theory.
That's also false.
Do you have any hints as to how to modify quantum?
theory to make it better?
Yes, I think so.
So there I would have to go to quantum field theory, which has more of a internal problem.
Never mind gravity, just the problem of quantum field theory.
All existing quantum field theories are based on axioms, which include the axiom.
that fields that are space-like separated commute with each other.
Now, that also means that a field at one point commutes with the future light cone of the field at the other point.
And the difference between, but on the other hand, field quantities at the same point fail to commute.
Therefore, field quantities are discontinuous everywhere.
So the whole conceptual framework of quantum field theory is not what it's cracked up to be.
Now, mathematicians say, okay, well, it's not a field of, it's not a real valued field.
It's not a quaternion valued field.
You know, it's, it's, it's, I've forgotten what they call it.
But anyway, the only things that are real,
are the integrals of the field over finite size.
Right.
Distribution value fields.
Distribution value, that's what they're called, yes, distribution valued fields.
But that hasn't got a conceptual model.
I mean, you can't have a distribution over things that don't exist.
So, you know, you can say only the distributions exist,
but there's got to be a distribution that has to be over something.
And so anyway, in short, I have an idea for a variant of quantum field theory where we don't have that axiom, where fields at space like separated points are allowed to fail to commute.
And where the thing that they have to do is be continuous.
And there's quite a nice theory.
Again, mathematically it's quite nice, but conceptually it's wild.
I rather like it.
For that reason.
Yes, yes.
So not only do causality and that kind of thing mean a different thing in that theory,
but measurement does as well.
and the separation of systems into subsystems means something else than it does in ordinary quantum theory.
And so I've been trying to get that theory to work for years,
and I got some nice equations of motion for it, which I don't know what they mean.
But it's rather a nice thing that so because of this pathology in quantum field theory,
it's been taken for granted that the way you judge proposed quantum field theories
is by how well they let you get round those pathologies,
whether you have an infinity that cancels another infinity,
and so this discontinuity is not as bad as you might think, and so on.
And on the other hand, the ones that don't have that property are not really considered.
Now, in this unorthodox quantum field theory, as we call it,
you have a different criterion, and the criterion is simply that the algebra of the quantum
fields does not change with space and time, which we have in the conventional theory as well,
except that that hardly makes sense when it's discontinuous everywhere.
And then you see that there are only...
a finite number of possible second order equations of motion.
And so that can be the criterion of the ones that are useful to investigate physically.
And I and other colleagues Sam Kuypers have been investigating a easier version of that
where it's just the qubits that don't have to commute.
Okay.
Different cubits rather than a field, which is an unwieldy thing.
So you have cubits which don't have to commute with each other.
And that is another rather nice theory.
And it's promising in various ways.
And we are working on whether this could be testable, like whether if you have, say, a pair of photons or something coming off.
a decay process,
whether those two photons
might not commute with each other.
And if they didn't,
could we detect this?
It would produce a kind of entanglement between them
that is different from the entanglement
that happens in ordinary quantum theory,
ordinary quantum field theory.
So we haven't got there yet,
but that's the kind of fun we've been having.
Yeah, that does actually sound like fun.
Does it fit into an Everettian kind of formulation of quantum theory?
Yes, Everettian and in the Heisenberg picture.
Okay.
I and we think that the Schrodinger picture is very misleading because the Schrodinger state is global
and it leads Everett and DeWitt to thinking about the whole universe
are splitting every time the state changes.
Yeah, I'm all in favor of that.
Well, I think there's too much for many people to swallow,
and they don't have to.
It is.
Because in the Heisenberg picture,
it's only the observables that split into.
And the distant universe is left unchanged by quantum phenomena.
I mean, maybe this gets into something I've always wanted to ask you about.
I think of worlds in the Everettian quantum theory.
as arising from decoherence.
But I've heard you say things that make me think
that you're more willing to talk about multiple worlds
even before decoherence has happened.
Yes.
So in my view, because I prefer to think in the Heisenberg picture
where everything is local,
so there are two situations where it is a good approximation
to think of quantum physics,
of quantum systems,
as splitting into worlds.
One of them is when there's decoherence,
but the other one is where there is a quantum computation in progress,
but not just any quantum computation.
If you have a typical quantum computation, in fact,
is that you have a set of worlds that are all identical,
then you do something to them that makes them different,
like makes them two to the end of them,
and the register holds a different number
in each of the two to the end universes.
Then you do stuff to those numbers in those registers,
and then you recombine them.
So I think that during the process of splitting
into multiple copies
and in the process of recombining,
it's not useful to think of them as being separate universes.
They're all affecting each other so much that a universe conceptually is a quasi-autonomous thing.
It's a thing where classical laws almost hold.
And that's what happens during this intermediate thing,
where you are doing a different computation in each of a vast number of universes,
the computations are classical computations.
Yeah, okay.
And they're not affecting each other.
Each one is autonomous.
And so I think you have there, it's useful to speak of the multiverse as having split into universes for a while.
And also when there's been decoherence, it's also, they're also useful for like the opposite reason, because there's no hope of recombining them.
Well, I guess, yeah, this is very helpful to me because I get it now.
But so in that case, in the quantum computation case, you say it's a useful thing about them as separate worlds because they're evolving independently, even though they're not really, there's probably some sense in which they're not classical, I think.
They're classical computations.
But they are classical computations.
And furthermore, they do recombine at the end of the day, unlike the decoherence example.
Well, if somebody knocks over the computer and they never recombin.
And then that happens later, then you can't say, well, retrospectively, they weren't universes.
I think that wouldn't make sense.
Okay.
All right.
Well, you've given us a lot to think about.
My last question will be, am I right that you recently mentioned that you're working on a third book?
Yes, actually, I'm working on several books, and I'm not sure, you know, what I can say about the ETA of any of them.
So I'm also working with Sam Kuypers and Kiara Moleto on a textbook of quantum mechanics, quantum theory.
And I'm also working on a science fiction book.
Oh, wow.
A novel.
Which contains conjectures that I wouldn't dare state seriously even in an article.
But in science fiction, you're allowed to.
But maybe you have a little bit of sympathy for these conjectures.
Yes, I have a bit of sympathy for all but one, which is very horrible.
Okay.
So that's what makes it dramatic.
I don't know how to refute it.
I mean, it could be true, but as we've just said, you know, a lot of things could be true.
Lots of things could be true.
And for the quantum theory textbook, is that supposed to be a competitor for standard, second year and university?
Well, it's a competitor in the sense that if somebody wants to change the entire way they teach quantum mechanics.
Yeah, okay.
This would be a way of doing it.
So Heisenberg picture would be central, not Schrodinger.
Everett would be central.
Cubits would be central, not hydrogen atom.
So it's all about quantum information.
it's close to
close to
modern kinds of experiment
instead of old fashioned kinds of experiment
and it's
conceptually
it doesn't have the baggage that existing
things do. Now I know there are
a couple of textbooks
already on the market that
start with
cubits. And I haven't actually read one of them. But I'm sure they don't do those other things that we
want to do. Probably not. I will confess I'm also working on one very slowly. But I don't know
how to characterize it. I'm not as ambitious as you are about hoping that people will
completely change how they think about how they teach quantum mechanics. So I'm actually, even though I think
that probably I'm sympathetic to the philosophy you put forward in this book, I'm guessing,
but I'm going to try to split the difference, right, so that more old-passioned people are not
quite as shocked. So a little bit of everything there. Yes. Well, that'll probably sell much better
than our one. You know, I'm not averse at that. We'll have to see. But David Doidge,
thanks so much for being on the Mindscape podcast. Well, thank you for inviting me.
