Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas - 79 | Sara Imari Walker on Information and the Origin of Life
Episode Date: January 13, 2020We are all alive, but "life" is something we struggle to understand. How do we distinguish a "living organism" from an emergent dynamical system like a hurricane, or a resource-consuming chemical reac...tion like a forest fire, or an information-processing system like a laptop computer? There is probably no one crisp set of criteria that delineates life from non-life, but it's worth the exercise to think about what we really mean, especially as the quest to find life outside the confines of the Earth picks up steam. Sara Imari Walker planned to become a cosmologist before shifting her focus to astrobiology, and is now a leading researcher on the origin and nature of life. We talk about what life is and how to find it, with a special focus on the role played by information and computation in living beings. Support Mindscape on Patreon. Sara Imari Walker received her Ph.D. in physics from Dartmouth college. She is currently Associate Professor in the School of Earth and Space Exploration at Arizona State University, Deputy Director of the Beyond Center for Fundamental Concepts in Science, and Associate Director of the ASU-Santa Fe Institute Center for Biosocial Complex Systems. She is the co-founder of the astrobiology social network SAGANet, and serves on the Board of Directors for Blue Marble Space. Web site Google Scholar page Ask an Astrobiologist interview Talk on A Theory of Life Wikipedia Twitter
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Hello everyone and welcome to the Mindscape podcast.
I'm your host, Sean Carroll.
And today we are talking about life.
Maybe we always talk about life in some sense.
Most people who I've had on the Mindscape podcast are living organisms themselves. No one has yet
noticed that any of my guests have been chatbots or artificial intelligences. But let's get deep a little bit here.
Let's ask what is life? What do you mean by life? This is the subject of astrobiology, which apparently
grew out of exobiology. I really just learned these vocabulary words. I knew about the vocabulary
words, but I didn't know about their relationship. Apparently, we used to use the word
exobiology, but exo means external, right, out there. So life on other planets or other stellar
systems or whatever. So it excludes life here on Earth. But astrobiology, despite the word
astro being there, is now taken to mean just the idea of life, both on Earth and outside.
So what do you mean when you say life? And there's basically two angles you can take. One is you can
look at actual life. Of course, we're stuck with life here on Earth, but that's okay. It comes in
various forms. You can look at big organisms, right, mammals or insects or what have you. You can look at
little organisms, algae and bacteria. You can look at edge cases like viruses. You could look at things
that are not living but are complicated, like chemical reaction networks. And you can try to draw some
line. And you can try to say, well, this is what counts as life. This is what doesn't. There's a whole
another way of thinking about it, which is just a backup, to forget about the details of chemicals and
geology and what's going on here on Earth or anywhere else in the universe and say, what do you
mean by the idea of life? It's something to do with complex systems that can keep going. People
debate what life actually is. Maybe the processing of information is somehow very important here.
So today's guest, Sarah and Mari Walker, is an expert on both of these approaches, both looking at
actual life, looking at the chemistry, thinking about how the molecules fit together,
to form the origin of life, whether it's on here or on other planets.
And also the more information theoretic point of view that tries to ask what kinds of structures
would count as a living being, even if they were made out of completely different kinds of
chemistry. So you'll be unsurprised to learn, given those kind of interests, that Sarah was actually
trained as a physicist before becoming a full-fledged astrobiologist. So we have a wonderful
conversation here. Words like entropy and complexity appear, but it's a fascinating topic. We're going to be
returning to it on other episodes in the year to come. How do you look for life elsewhere in the
universe, in our solar system? What do you mean by life? Could there be different forms of life here
on Earth? Could you make life in the laboratory? I think it's a very exciting frontier,
and this conversation is a wonderful introduction to some of the major ideas. Do you ever feel like
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Remember that we have a website, preposterousuniverse.com slash podcast. So don't forget,
you can go to that website and you can find complete transcripts for every single episode.
So if there's something interesting that goes on that you hear in the episode,
you don't need to re-listen to the whole episode six months from now when you want to catch what that thing was.
You can go to the website and actually search for it.
Those transcripts are paid for by Patreon supporters, so many thanks to them.
And with that, I think we're ready for some life talk.
So let's go.
Sarah and Mari Walker, welcome to the Mindscape Podcast.
Hi. Happy to be here.
Yeah, it's great to have you here, especially because I keep having these people on the podcast,
who I just think are intrinsically interesting, and then in the middle of the conversation,
I realized they were trained as physicists at a young age, and that includes you, right?
That's right.
So how did you get from, right now you're working on origin of life and a whole bunch of other things.
Maybe, I want to dive into the ideas, but maybe to calibrate the audience, why don't you tell them
how you got to point A from point B, and vice versa.
How back in history do you want me to go?
Well, you were an undergraduate or maybe, let's say graduate school.
Let's start with graduate school.
Yeah.
Okay, so I started graduate school at Dartmouth College,
and I wanted to be a cosmologist at the time, our study particle physics.
And so actually, to understand that motivation, I might have to go back a little earlier.
So what happened was I went to community college, actually, for my first two years of college,
and I took a physics class, and I became deeply infatuated with physics.
Great.
Great.
So it does go back in history.
Well, it's also a great message to anyone who's listening at a local college or something like that.
That's right.
Yeah, I think it's important to mention.
So it was quite funny.
So I was 18, I had two-year college, and I was walking around saying I want to be a theoretical physicist when I grew up and everyone thought I had two heads.
But to me it was really important.
I had some really supportive mentors there.
But I think what really intrigued me about it, what really motivated me to continue at university and then to go to grad school was I was very interested in fundamental descriptions of nature and what reality was and the fact that mathematics could distinguish.
so much of reality and that humans were really good at doing that.
And so I actually literally remember the lecture where I got interested in physics in
community college. It was like the first day and my physics professor was talking
about magnetic monopoles and the fact that they don't exist but we predicted them
and we were going out to look for them. And so that idea deeply intrigued me and
so what I thought was I wanted to be like the people that were predicting those things
and going to look for them. And so I had this idea in mind that I wanted to do
theoretical physics and theoretical physics was like particle physics and cosmology so I went to undergrad
at florida tech and i studied um physics there and i worked in a lab that did particle physics
so it was like um working on some uh calibration of like detectors for um the CMS experiment at lhc and then
I went to grad school to do cosmology and particle physics because I really wanted to do theory
so so what happened um when I got to grad school was um I started
working with Marcelo Gleiser, who was my PhD advisor, and he had spent most of his career
working on early universe cosmology. And I was very excited about that topic and trying to think
about, you know, where does matter come from and reheating after inflation. And so I just wanted
to work with him, but he was starting to work on this thing called astrobiology. And I was like,
what is that? And so he explained to me about the origin of life field and that, you know,
people are, you know, that there were these problems on origins of life. And so I started working
on a specific problem related to the origin of life, which is about the origin of homo-chirality.
So biomolecules in our bodies come in mirror image forms. So amino acids that are made
into proteins come in a left-handed, right-handed variety, but proteins are only made
a left-handed amino acids. And DNA and RNA are composed of right-handed sugars, even though you
could have left or right-handed sugar bases.
So I was basically-
The general concept of left versus right is chirality.
Cairo.
Yeah.
So chiral actually literally means hand in Greek.
And so it's actually really fun to give talks
like for the public and stuff because you actually wave your hands around like you.
That's your job.
Yeah, so I'm waving my hands now, but I obviously podcast audience can't see that.
But anyway, so that was a fun problem to work on
because there's this kind of, you know, question in the original life about how life
became homo-chiral and what happened in the original life to actually break that symmetry.
So if you try to do like prebiotic synthesis, which is basically making compounds without biology
and making biomolecules, you'll get roughly equal mixtures of both the chiral form.
So non-biological chemistry gives you both.
Yeah, basically.
And so I was studying that problem, but as a physicist would study, so physicists get really
excited about certain classes of problems, as you know, being a physicist.
but maybe the audience doesn't know, but there's a particular problem called the icing model,
which we use to model pharomagnets, for example, and you can talk about like a spin-up or a spin-down system,
and symmetry-breaking between spin-up and spin-down.
You can do the same thing with left-and-handed.
And so I started studying symmetry-breaking processes and chemistry from the perspective of a physicist
related to origins of life.
And so that was kind of a physics segue into the problem,
and it was quite interesting for me because,
I was working on that problem, but I was thinking about this deep motivation I had when I first started getting into physics about, like, you know, idolizing my heroes in science, like Einstein and, you know, Fermi and Dirac.
And, like, these people that had these really deep thoughts about the structure of reality and advanced, like, fundamental understanding of how we see the world.
And I'm thinking about this origin of life problem.
And I'm like, that's not.
And, you know, like, you know, I was taught physics with these certain sets of problems.
But as I started work on it more, I realized that we really didn't understand the origin of life and we didn't understand the questions.
and that maybe there was some deep physics to be uncovered in life or in the origin of life that might actually explain it.
So I had this transition point, I guess, maybe three or four years into my PhD,
where I started not becoming resistant to working on origins of life as a fundamental problem
and realize the actual reason I got into physics in the first place was I wanted to contribute fundamental understanding.
And here was like this place that's like sort of like the wild west of science where nobody knows what's going on.
And so you can actually be really creative in that kind of ideas you bring to the field.
and there were very few theorists working on Origins of Life.
So I remember going to conferences as a PhD student,
and it would be like 100 people at the conference
and they're all prebiotic chemists and no theorists
and nobody thinking very deeply about this issue of what life is
and how we can try to build new theory
to try to understand the process of origins of life.
I think also for the people who are not experts out there,
it's crucially important that Origin of Life research
is not a mature field in the same way that particle physics and cosmology.
In particle physics and cosmology, we have what are literally called standard models,
and they're correct, and we've tested them, and we're trying hard to push beyond them,
but it's difficult to even get any experimental clue, whereas in origin of life, we're like, eh, who?
There's many different models, none of the standard.
That's right, and I like that about that field.
So I love particle physics, and I love, like, all the things that have been built,
but it's like somehow you want to also be actively contributing to that.
So, yeah, so it's fun about the field, but it's also infuriating, because you, like,
You're like constantly not sure what the question to ask is, let alone how to answer it.
That's right.
Both situations have their downside.
The downside of particle physics or cosmology is it's hard to make true progress understanding
nature because we understand it too much.
Right.
And in origin of life, we understand it too little.
So it's hard.
That's right. That's right.
So what do you do you, but then you got a PhD.
You are a physicist, but then now you're sort of not in a physics department.
Right.
So when I left graduate school, I went to work at,
Georgia Tech. And so part of my reason for doing that was I got a position there working in their
Center for Chemical Evolution. And they have a really great group of researchers there focusing on
origins of life from the chemistry side. And so I thought I didn't know much chemistry and much
biochemistry. And so if I went there and did some theoretical modeling that I would learn a lot
about how chemists think about the problem and how people from different disciplines think about
the problem. And that was incredibly helpful. But I remember also thinking the whole time. So I was doing
these like models for how, like we have these sort of simple models in chemistry for
original life processes, right? And so the idea is we want to study chemical evolution,
quote unquote, where the evolution is leading to something life like, but we don't know what
life is. And so I started becoming increasingly dissatisfied with the fact that I could do all
of these modeling of origin of life without having any metrics of success. And even any of the
sort of ways we think about origin of life science are really far from
what we would call life. So there's actually this huge gap in the field that, you know,
we have like prebiotic chemistry, which makes simple compounds like amino acids or, you know,
like RNA nucleotides under prebotic conditions, so without biology, but you can only make like
the simple building blocks. You can't make big molecules and you can't make anything as complex
as a cell, obviously, from such a simple condition, or at least we can't yet. Presumably, that
happened at some point in the past through some evolution.
process. But the way prebiotic chemistry is now, it's very focused on building specific
components of biological systems. And so far, we can only get very simple ones under non-biological
conditions. Basically molecule by molecule by molecule, right? So the standard of proof in that field
right now is you make a molecule that's in biology without biology. But you have...
I mean, the gold standard is one that reproduces itself, right? Well, eventually, but we're nowhere near
that, right? So right now, like a successful pre-botic synthesis experiment is you make a molecule
that's found in biology without biology. And so my only point with that is that's useful, right,
to know what conditions those molecules can be made under, but it's not life. And it's nowhere
near life, right? And then on the other side of it, like, we can trace back phylogenetically
to try to reconstruct what we think the last universal common ancestor of life on Earth is. So we
have this idea that life evolve from a population of cells with, you know, modern translation
machinery. So like DNA and proteins like we have today. But when we try to look back in history,
we get to like a certain point where we call the last universal common ancestor and we can't
go back any farther. Because before the original translation, we can't reconstruct what happened
because we reconstruct what happened based on DNA. And if DNA, you know, isn't being read out by
the translation machinery to do something, you know.
So it's sort of been equated in my field to like the, the CMB of biology, right?
So it's like the surface of glass scattering that you can't actually push back with our
standard way of looking at biological organisms.
It sounds like you were the only one who would make that comparison.
No, actually, I'm not the only one.
There are other physicists that make that comparison.
So I think I heard that one actually first from Nigel Goldenfeld.
So another physicist working in astrobiology and physics of life stuff.
But anyway, so...
But maybe it's just because I know that I used to get confused about this,
the difference between the first living organism and the last universal common ancestor.
Is potentially huge.
Potentially huge.
In years, in complexity?
And what does that mean?
In years and complexity.
Okay.
And maybe scale.
Okay.
Like a spatial scale, which we can talk about a little bit.
But so we don't know when life emerge.
we don't know where life emerged.
I think there's this idea that life emerged as like a single cellular entity on early Earth
and then it started reproducing itself and evolved to take over the planet.
But there's an alternative set of ideas that life emerged from geochemistry
and with some organizing geochemical cycle,
it might have actually been a planetary process from the start.
And I find those kind of sets of ideas to be more intriguing,
but that's what I mean about scale.
Because you can think about an individual organism emerging and being alive,
or you can think about the emergence of life is this process that's happening on a planet
and then individuals the things we call cells or units in biology emerge much later and that's
so so so so just to go back to like where we were because we can come back to the set of ideas but
I wanted to finish like about the motivation so when I was at Georgia Tech I was just like that gap
just really bothered me and the fact that I feel like a lot of people in origins of life field
although it's been changing significantly over even my short career,
because I think the field is really starting to move in some new directions
that are quite exciting for various reasons that I can talk about.
But just to cut to the main point here,
like that gap was bothering me,
and the fact that people weren't tackling the origin of life transition directly.
This is the gap between make a single molecule versus trace back to the first carbonane system.
Yeah, versus having like a complex functional minimal cell or early living system
versus having molecules that are in that living system.
And the steps in between are like a black box.
And they still are a black box.
We don't know what those steps are.
And so then I became deeply interested in this,
what is life question?
How do we quantify it?
And then could we build theory for understanding
the transition from non-life to life?
What would that theory look like?
And how do we actually quantify this thing that we call life
so that we could actually build better original life experiments?
And so I ended up getting a NASA Fellowship
and going to ASU after Georgia Tech.
And that's when I got back more into, like, physics thinking.
And that fellowship, my mentor was Paul Davies.
And so what I worked on with him was really trying to think about the original life transition
more from the perspective of if we think that there's some interesting fundamental physics
going on there, what is it and what would we say the original life transition is?
And so I ended up spending a lot of my postdoc thinking more like a philosopher, I guess.
about what I thought the origin of life was.
And so by the time I became a professor,
I kind of had this clear idea in mind of what I thought a concrete way of addressing the problem was,
and what I've done with my research group is basically build infrastructure
to try to build toward that theory.
And that takes a lot of forms.
There's a lot of ways to think about the problem,
and a lot of it's about the role of information in physical reality,
because I think that has a lot to do with what biology is,
which I can explain more.
But most of it's just trying to understand what life is
so that we can solve the original life.
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mindscape. Yeah, definitely information theory in its role. That's mostly what I want to talk about.
But just to, so there's something more concrete in our listeners' heads.
Sure.
What are the theories for, number one, what the last universal common ancestor is,
and number two, what the first living organism is?
Is there even a set of models that people argue about, or is it really just, who knows?
No, there are a set of...
And when did they happen, I guess?
Yeah.
So origin of life itself, I think, is easier to talk about the different classes of models
because there are concrete camps, so to speak, where people have a particular idea in mind
or a set of hypotheses, and they're actively working on that.
And so probably the most famous is the RNA world hypothesis for the original life,
which is that life started with RNA as the primary biomolecule.
And so the reason...
Maybe we should even say what RNA does in our present cell system.
Yeah, so the reason for that, yeah, is that RNA is kind of an intermediary.
between DNA and proteins. So when DNA gets translated, it's transcribed, is transcribed into RNA,
and RNA is read out by the translation machinery into proteins, but RNA also has this dual role
where some RNA molecules fold, and they have function on their own. So it can both act as a
genetic molecule and a functional molecule, whereas in modern biology, those rules are mostly
as DNA being the informational molecule or genetic molecule and proteins being the functional molecule
that does stuff in the cell. So the idea was if you wanted to have a simple explanation for the
origins of life. And we know RNA plays both these roles. Perhaps RNA was the first major biological
macro molecule. Now, even within the RNA world, though, there's a very varying set of hypotheses
about what the RNA world actually means. So you could see, like one extreme end of it is the RNA
world means that a RNA molecule emerged on the early Earth started copying itself and started evolving
and then somehow evolved into all of the rest of biology. Yeah. And so that really
relies very strongly on evolution being a very strong force in nature to really generate novelty
and complexity. Now, on the other side of it, there's kind of like the softer RNA worldview,
which is just the idea that RNA was the first genetic material and DNA evolved later. So you
might have had some metabolism and some cellular structures before you even had RNA, but when you
got genetics, it was RNA. So replication first versus metabolism.
A little bit, so I'll get to that, though.
Those are the words I've heard.
That's why I'm just fine to put my lesser knowledge to work here.
No, no, no, that's good.
Yeah, so, so, but this is just, just thinking still like sort of genetics being important.
So I've, I've actually, because I tend to be in the more than metabolism camp,
if I was going to self-identify as a camp, although I try to be as agnostic as possible.
So I kind of wrapped that RNA as the first genetic material into a metabolic narrative.
But some people that think that just purely think about the genetic.
So they don't make strong claims about RNA being the very first living thing, but all they care about is being life is the first genetic things.
And then there's sort of the RNA world is part of what are called genetics first hypotheses.
And the genetics first hypotheses doesn't just include RNA as the first genetic material, but there's a whole variety of other nucleic acids that could potentially preceded RNA.
So there's things like TNA.
and PNA and like all these NAs.
Who know?
I know, right?
And it's actually interesting because people use these in synthetic biology
and show that like some of these XNAs, as they're called,
can be functional in modern cells.
But there are people that work on trying to figure out
which nucleic acid polymers can talk to each other.
The idea being, if you think about chemistry as hardware,
that you could have had a succession of hardware upgrades in some sense
where the genetic information encoding could have been in one molecule class
and then copy to another.
And so DNA copies to RNA, which is part of the central dogma biology, that information flows from DNA to RNA.
But the question of that sort of idea of original life science is which polymers can copy information to each other.
And it's not always bidirectional.
It's like sometimes you can get information transfer from one to the next, but not backwards.
So there's a whole research industry on that.
And then alternative to that is the metabolism first, right?
Which is what you were alluding to, which is this idea that life started not with a molecule that could copy itself.
and undergo an evolutionary process in the sense we would understand as being very Darwinian,
where you have a genetic molecule that copies itself and has heredity and variation,
but some kind of self-organizing set of molecules,
which is we call in the field an autocatalytic set.
So you have a bunch of molecules that catalyze a reaction,
and then those reactions form a closed cycle,
so the system as a whole reproduces itself.
And so the idea there is that there were some autocatalytic chemical
reaction networks of these reactions that actually emerged on early Earth.
And there's varying sets of ideas there also.
So some people think that's kind of would have been early proteins, would have been the
best candidate for that.
So you would have gotten some peptides.
So polymers of amino acids, amino acids make proteins.
Proteins are just very big, long macromolecules.
But if you think short amino acid sequences that could have catalyzed a production of
other amino acid sequences, you would have gotten.
an autocatalytic cycle, but other versions of auto-catallic cycles include things like a primitive
metabolism. So there's a set of ideas that maybe the citric acid cycle, which is a metabolic
cycle that happens in modern biology, is actually the most primitive metabolism and emerged from
geochemical cycles. And I find that set of ideas deeply intriguing for a number of reasons,
because it's trying to tie the origin of life to planetary processes in geochemistry.
And so what you'll notice about sort of, and also I should mention in metabolism first,
you know, there you get sort of more emphasis on energy and thermodynamics in those kind of
approaches.
And in genetics approaches, it's more like focused on information and copying and evolution.
And both of those things are obviously important in biology, but they've been like sort of
parsed out is separate to be an original life hypothesis. And then there's other things like
this, you know, cell first hypothesis that you might have just gotten like lipid vesicles or something
forming an earlier. So, well, cell walls. Yeah. And then, yeah, molecules would have gotten inside
them and that would have started some kind of copying an evolutionary process. So there's a whole
swath of different ideas. And I think, you know, what happens with each of these hypotheses is they
have their own set of experiments that are possible to do. But what ends up being hard about
whole enterprise is that I think a lot of the ways that we're thinking about it are a very anthropocentric.
They're imposing things that are biological into chemistry in ways that maybe aren't they're like
almost anticipating the solution. Because we are poisoned by knowing what we do what life is now.
Yeah, exactly. So just to think about like the idea I was talking about before about like when a prebiotic
chemist wants to make a molecule that's in life, right? Like they want to they want to do original life
chemistry. Well, the way to do original life chemistry is to try to produce something like an
amino acid under non-biological conditions. But we don't know that life started with the chemistry
that it has now. There could have been lots of changes in the chemical structure of what molecules
living systems were using as they became alive. And so I think it gets very hard to say if any of
these things are really in the right space of ideas. Well, you're doing a good job of letting the
non-experts know that it is kind of a mess because, well, I mean, life right now has a lot of things
going on. It sure does. It's not even clear which of these are most important or could be first
and then build upon. So it's, you know, a wonderful open field to play in, but it can be hard
to get a purchase on something definitely. Right. And I think part of the thing is the field has been
really deeply focused on the idea of the historical origins of life. And so what I mean by that is what
we know is that the origin of life happened once in the universe. We think it happened on planet,
at least once. Yeah, at least once. Thank you for clarifying that. It happened at least once,
which is what I meant. So we know for sure it's happened once. We don't know if it's happened more
than once. And we think that was on Earth, although, you know, people have alternative
hypothesis. It might have emerged somewhere else and then travel to Earth, but it's easier to assume
it happened on Earth. And then the historical original life problem is concerned with how did life
as we know it arise.
But you could ask the more general question about how does life arise in the universe,
and then that doesn't necessarily need to assume the chemistry is the same.
And so the way you frame that question and ask those kind of questions is actually a little bit
different than the way origin of life traditionally has been posed.
And that kind of way of asking it tends to border more with other fields like artificial life
or start thinking about what life could look like on other planets.
And I think that's actually much more fruitful personally.
But I think there's a lot of growth in the field to really understand how to parse all of those
kind of different ideas about how to think about it.
And it's very natural once one has training as a physicist to try to say, well, forget about
life on this planet.
Let's just imagine the idea of life.
I know.
I know.
It's like you can take the girl out of cosmology, but you can't take the cosmologist
out of the girl.
It's really just, I can't, like, I can't get that mindset out.
Like, but I think I went into physics because I had that mindset in the first place.
Exactly.
And so, so I do think that life is something that happens in our universe, and there should be
some explanatory framework for.
what life is and why it happens. And I don't, I personally, well, I don't know what I actually think
because I try not to have, like, a firm opinion on these things because then it's difficult to make
scientific progress. I think intrinsically, I'm hopeful that life exists multiple places, but I don't
know for sure. But scientifically, I think the most useful hypothesis is that there are rules underlying
the original life, because that allows us to ask questions about what those rules might be. If life
was such an odd statistical fluke that we really were the only life in the universe, then it's
not a scientific question anymore in some sense.
It's just so low probability, how would you actually get the principles out of it?
Or even if there were a hundred different times when life started, but they were all different.
And that would kind of be disappointing to our physicist's hearts, right?
Right.
But actually, I think that's kind of interesting.
And one of the reasons that I'm an astrobiologist rather than, say, like a biophysicist
or a theoretical biologist, is that I think there is something about the way you ask about
the question of life astrobiologically.
that's actually quite useful in the sense that if I say I'm going to go look for life on other planets
or I think there is this thing called life in the universe, then I really am saying there's this
objective category that exists that we can call life and it should have some property common
to all life, right? And so then the idea is what are those universal properties?
Good.
The challenging thing is those might not be things that we expect them to be, right? So they might not
be things like the molecules are always going to be the same.
Yeah, okay.
And so that's when the thing about the idea of information becomes more important to me because
I don't think that the physical stuff, the molecules, is always going to be the same,
but what is going to be the same is that there's some informational process organizing matter.
And that's what life is.
And then that gets into a whole bunch of things about what does that actually mean,
and that's where we're stuck in this kind of idea development of how do we actually understand what this thing is.
It does, but that sounded right there like you gave a definition of life.
I mean, in my book, the big picture, I quoted this definition that was offered by some NASA
panel some sort. And I really didn't like it at all. The infamous, life is a self-sustaining
chemical system capable of Darwinian evolution. Was that the one? That was the one, yes. And so I
thought that that was just very blinkered, you know. And also, the fact that life is capable
of Darwinian evolution in particular is certainly a historical fact about life, but I could imagine
building a synthetic thing that we would all agree is living, but it's not capable of Darwinian evolution.
It seemed to miss the point. Yeah. No, it's a,
It's definitely missed the point on a lot of things, and that's one of them.
I mean, even across life on Earth, Darwinian evolution is not the only mode of evolution that we know exists.
So, for example, the last universal common ancestor I was talking about, like, horizontal gene transfer was really important.
So it was more of like a collective evolutionary process because individual units weren't clearly defined.
Yeah, so back in the day that you would pass genes back and forth to your friends, not just to your children.
Yeah, exactly, exactly.
And microorganisms still do that.
Like it's still a really dominant mechanism of exchanging information, even in modern systems.
And then you have things like cultural evolution, which is not necessarily Darwinian.
And so we do know that biology uses a lot of different ways of changing over time and changing information over time besides Darwinian.
And you can theorize about all kinds of different ways evolution could work.
So that's one of them, the Darwinian evolution.
I think the part that actually bothers me more about that definition and also about a lot of definitions of life is they assume,
life is chemical and that chemistry needs to be in the definition of life. And I think I think there's
a major confusion between chemistry, which is the scale of physical reality talking like a physicist
where life emerges and what life is. So I think chemistry is the scale where information becomes
important as a part of physics. I don't think it really matters at smaller scales in physical
systems. And I can talk about sort of what I mean by information and chemistry in just a minute.
I think life is like I think when I think about what life is I think about you and me being life
we're not just chemistry.
Technological civilizations are life.
Multicellular organisms are life.
So I think life emerges in chemistry, but it's this process of information, organizing
matter, as I was saying, but it happens across many scales that are, you know, and part
of what's interesting about life is life is actually like this hierarchically organized process.
So we talk about this idea in evolutionary.
biology of major transitions and evolution. The first one was the origin of life, but subsequent
ones are, you know, origin of multicellularity, origin of social systems, and all of that structure
is still part of life. But we don't necessarily talk about chemistry there. And so I think that's
actually really important. I think part of it is also this idea that, you know, when we're talking
about defining life, we need to talk about an individual cell. This is also something that's really
kind of interesting to me because we're really fixated on this idea of like the definition of life
should describe an individual. And so one of my colleagues, Michael Lachman at Santa Fe Institute,
is really interesting the way he thinks about it because the way he thinks about a cell is a
cell is a current manifestation of an evolutionary lineage, but you can't really separate the cell
from the fact that it has this long evolutionary history. So he would talk about the unit of life
actually being the lineage. And I think that's a really nice idea. But I also think when you're,
when you start thinking about expanding your definition of life that way, that you can't really
just isolate the lineage, but you need to think about all the lineages. And so it's almost like
we had an original life event. And when we talk about life, it's the original life event and
all the subsequent structure that emerge from that. And it's like this information structure
that's constantly constructing all of these individuals and all of these processes by having
information distributed in space and time, and that's actually what life is. And the natural
boundary for that actually ends up being the planetary scale. And so I think a lot about the biosphere
as a whole, as a proper unit of life. And then when we study the components of the biosphere,
it's like partitioned into things we call individuals or societies or ecosystems. And those are all
part of that living structure. But you have to consider the whole thing.
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And that's a very different perspective than people usually take.
It is.
And so you're expanding the scope of the thing both in space and in time, right?
So there's basically one life that we know about.
This is why the original life is so hard because it's the origin of that process, right?
Yeah.
Yeah.
And so I think very much about this idea that, like, you know, there's some scale where this physics becomes important.
And then what is that scale?
And that was kind of part of – once you get the process of life going,
it is this kind of expansion process in space and time, and we're building more structures like
cables and microphones and things by information like information accumulated or evolutionary history.
But getting that process started is quite interesting. And so one of the points I was making
about chemistry and why I think this physics emerges in chemistry and maybe not at lower scale,
so the origin of life is always maybe going to be happening in chemistry, is that when you think
about chemical space, like the possible set of all possible molecules, it's infinitely huge.
I mean, it's like it's uncountably huge.
People, like every, you know, if you look at the largest pharmaceutical databases we have,
they have millions of compounds, and it's not even scratching the surface of the size
of the number of compounds you could make even with just a few elements.
And it's just combinatorics, right?
Just combinatorics.
Especially carbon molecules.
Yeah, it's a huge, stringing them on there.
Yeah, it's a huge commentatorial space.
And so, um, so Stuart Kaufman has this idea he talks about, about, like, the adjacent
possible.
But, like, once you get into molecular space, it's like you have so many structures, even for
a protein of possible.
molecules that not everyone could possibly exist within the lifetime or resources of the universe.
And so what happens in chemistry that at a certain scale is that not everything that could exist
will ever exist. And so to see something like a protein requires a lot of information to
reproduce it in the universe reliably because there's no otherwise it would just be a statistical
improbable fluke. And the same thing with the table, right? And so I think the process that we need to
understand is how does information emerge or what is information, and then how does it make it
so that things like cups and tables and very complex molecules are reproduced in the universe reliably.
Well, clearly the idea of information is playing a huge role.
Yeah, I know, obviously.
Thinking about this. You've already mentioned it several times.
Yeah, I know.
Maybe let's focus in on this a little bit. I mean, I'm asking a lot here, but is there a simple
definition of what you mean by information and how does it affect all these other things
going on?
Right.
So I should say that there's, there's.
obviously something called information theory, which people talk about quite a lot and was developed
by Claude Shannon in the 1940s. And, you know, it's a huge industry of people that work on
information theory. And I use information theory a lot in my work, but that's not exactly what I mean
when I'm talking about information relevant to physics of life. And so information theory will
often talk about, you know, if you have a quantity of information, it's somehow related to your
reduction in uncertainty about a process. So if you walk into the room carrying an umbrella,
You know, my uncertainty is maybe reduced about whether it's raining or not outside because you had an umbrella and you were bringing it to work today.
So there's some information in the umbrella that I can have about predicting what else is happening.
And so that's kind of what people usually think about when they think about information.
And Shannon was interested literally in sending signals over why.
Yeah, right.
So, yeah.
So it's very much about communication.
And there's a lot of caveats there about how, which might get more interested.
to like the technical details, but like it also requires that you have some way of encoding
the message, right? So it automatically assumes a lot of things about what a physical system
is to be able to communicate because it has to have a semantic representation or some kind
of symbolic way of describing things that both the sender and receiver understand so that
the message can be decoded. And so that's already a very large set of assumptions. And I think
whatever physics underlies information, like that should be kind of a property that drops out of
the physics, not something you impose on it.
So is it safe to compare this to my favorite example?
Like if I have a textbook that is written in French, but I don't speak French, in some sense,
it doesn't convey any information.
Exactly.
Yeah, yeah.
That's exactly right.
And so, yes.
And so that's kind of, you know, the way people usually talk about information is within that sort of formal.
formalization. What I'm interested in is the fact that there seem to be some processes that require
some kind of abstraction or some kind of representation that can, that's not necessarily tied to the
physical substrate. So like an electron has charge, right? And you can't remove the charge from the
electron, right? That is a property of the electron. But information is quite different in the sense that
like, you know, I'm holding a, Evian, is that how you pronounce this?
I never know. Evian.
Water bottle, right?
So I can read Evian.
And now, like, I, you know, I have that word in my mind, right?
But it's existing on the water bottle, which is one kind of physical material.
My mind is a different kind of physical material.
And then I'm talking about it into this giant microphone, which is really quite large.
But, and, you know, now it's traveling over, you know, wires and is now on somebody's
computer that they're, well, in the future will be, but my now and they're now and they're
now are different. And, you know, so it's information that can exist in a lot of different
media, right? But somehow it still has the same property that it means the same thing in all
of those different instances. And that's a really intriguing property for something physical
to have. And so this gets into like a lot of deep philosophical debates about how physical information
actually is because it seems to be this abstract quantity or property that can exist in many
different media, it can be copied between media. And it doesn't have the same physical
you know, that like something like electric charge has.
Although it's a little bit like energy because we think about energy flowing between.
So energy is actually quite an abstract concept also,
but we have more concrete theory for understanding energy as a physical thing,
and I think information we don't.
And my favorite example to use about why I think information is really different
in the kind of physics that it mediates is to actually think about examples of technology
because they're very visceral.
So chemistry is hard because chemistry is.
seems very abstract. It happens inside ourselves. We can't experience it or a daily experience.
But I like to use this example of launching satellites into space and to think about that as a physical
process. And so if you think about what's necessary for like a planet like the Earth to have
thousands of satellites orbiting it, which we do, most of them are artificial, right? We have
one natural satellite and then we have all these artificial satellites. The artificial
satellites are quite interesting because in order for them to be there requires that you have
a technological civilization or some kind of intelligent process with knowledge of the laws of
gravitation and engineering principles to actually build little metal boxes and throw them into space.
And it's that idea that knowledge or information about regularities of the physical world
and the ability to control them to mediate new physical transformations, like launching satellites into
space, that really intrigues me about information. Because in order to get to that point,
you had this long evolutionary history where you had biological systems learning about physical
reality or learning about their environment, the way biologists would talk about it. And they gradually
acquired all this information to the point that you had science emerge on the planet and then
learning about gravitation and formalizing it in mathematical laws and those mathematical laws are
information and they allow us to do these transformations in the physical world that wouldn't
be possible without that information and so we are David Grinspoon has this nice way of phrasing it that
we're a planet that's anti-accreting matter we're flinging matter into space so people you know
planetary formation, they talk about planets accreting to form, so they're accreting matter and
they're forming planets, and then you might get a few satellites, and then you have this
weird kind of planet that has life on it, and it's evolving over a long time doing all this weird
stuff, and then suddenly it's anti-acreding. And I think that's a really nice example, the
fact that that process just wouldn't happen without certain kinds of information in the system.
And I really like this David, a quote that David Deutsch has in one of his books.
which I use almost all the time in my talks because I love it so much, but it's something like
base metals can be transmuted to gold by the processes that power stars and by intelligent
beings that understand those processes and by nothing else in the universe. So there is something
about intelligence as a physical process that's quite different because it's like physics happens
and then you have biological or intelligent systems that understand physics and then they
can make these transformations that are not physically impossible
like it's not impossible to launch a satellite just into space.
It's just if you just had physics and chemistry and no biology, no organisms,
no evolutionary history acquiring information,
you would never see a planet launching satellites into space.
So it sounds like you haven't quite given a formal definition,
but it sounds like what matters to you about information is somehow a matter of potential
or ability or leverage.
You can somehow affect the world in a way because you have this information.
Right.
So it's sort of about like the possibilities that are,
Like, I use the word causation a lot, which people have various problems with.
And I have problems with a little bit myself because it's kind of a loaded word.
But what's interesting to me is what can happen causally in the universe.
And I think there's a lot of processes that can happen, but just don't.
And that what biology does is it somehow can cause things to happen that wouldn't happen outside of the kind of process that biology is.
And you could call that thing that's causative information, but somehow it's, but,
And so I think there is a deep connection actually between information and causation.
We're back to philosophy again.
And then we're back to philosophy.
And there's a huge, you know, industry and complex systems trying to understand that deep connection.
And I don't think anybody really, you know, I think a lot of people have a lot of insights into it, but we don't really understand it.
So, so I guess, I mean, I think life is information structuring matter.
What is information?
In some sense, it's like causes that can be copied between physical systems.
Yeah, okay.
And so there is kind of like a framework.
But, you know, it's really funny because every once in a way I have with my research group,
this, like, I just like pounce on them at group meeting.
I'm like, let's have a what is life discussion today.
And everybody has to write on the board, like their definition of life.
And it's amazing how much it changes, you know.
But that's good.
I think it's productive because it means.
Which wouldn't happen in a particle physics group saying, what is the electron.
Yeah, exactly, exactly.
Yeah, yeah.
So I think a lot of our challenges, you know, we have a really loose conceptual cloud of like what the right
space is, but how to actually penetrate it and build a rigorous theory and have
the experiments to test against and everything is just really hard.
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It sounds like this goes well beyond the question of origin of life or the nature of life
because, as you mentioned, there is something called information theory.
You can buy textbooks called information theory.
But in some sense, you're hinting that we are lacking a full theory of how information
interacts in the world or what information does.
We can quantify it.
Yes.
There's entropy and information correlations.
But the interface of maybe information.
and energy or information in work or something like that is fellow territory.
Yeah, no, I think that's very accurate.
So I do think that there is like a missing physics in some sense.
Like, you know, various people like to describe a different ways.
For me, I think there's, you know, like there have been major revolutions in physics.
And if we were going to have the next major one like quantum mechanics or general relativity
was, it would be somehow physics of information.
But that's my bias, obviously.
Or hope.
Yeah.
Yeah.
We all got to go out there.
Yeah.
We got to go for it, right?
Yeah.
So, but anyway, so I do think it's like it's a fundamental property of our universe and it's pretty ubiquitous.
So it exists outside of life, right?
And it should tie into other ways we think about physics and exist in other physical systems.
But I think what's interesting is like I make an analogy sometimes of thinking about gravity.
Like it's like gravity exists everywhere, like at least, you know, like space time exists everywhere.
But sometimes like if we want to study, you know, gravitation, gravity like, you know, at its most extreme and we really want to get insights into like curvature or space time and things,
we study things like black holes. If you want to understand information and how it operates in the
physical world, I think you study something like a living system. Go to the limits of extremes. Yeah,
because we are literally like the things that exist where that physics is most evident.
Right. Okay. So does that kind of perspective, I guess I have two questions. One, does, do other people share
this perspective? And the other one is, are there tangible ways in which it might help us understand the origin of life?
Yeah. So I think other people do share the perspective. I'm not going to say it's a majority.
view, obviously, and I, you know, I tend to not want to work on majority views because I feel
like there's more room for other people doing that. Yeah, exactly. And also part, I mean, one of my goals
actually thinking about the what is like question is like, I don't know if I'm right or not, right?
And in some sense, one of the ways I justify like why I push so hard on trying to be,
to like really push the boundaries of how we think about that problem is just that I think
that needs to be done. And whether the way I'm doing it is the right way or not is subject
to discussion, debate, and, you know, scientific inquiry and validation against experiments
once we, like, can build the right theory. But it also hopefully will, you know, get people
to start just start getting out of our boxes and think about the problem differently, which I just
think is, like, desperately needed. So I think what I, what I do do in my work and something I think
my group is quite good. I work with, like, insanely talented grad students and postdocs. But we always
are trying to think about, like, what are the experiments and how do we actually connect to
experiments or real data sets. And so my hope is that there will be in the same way that,
like, physics has really progressed because of the interface of theory and experiment.
Like, that's something that really needs to happen in origins of life. And not in the sense,
because I make a distinction between modeling and theory in the sense that, like, a model,
a model is something I'll describe, like, a particular system, right? So I can build, like, a mathematical
model that will describe, you know, a particular enzyme and how it functions or something.
But, you know, if you have a theory, it's much more encompassing and explanatory.
Yeah, yeah, exactly.
So I think what I, and theories are more predictive, I think, across different systems.
Maybe that's just my own personal classification, but I purposely make that kind of distinction
because I think in origins of life, we've had a lot of modeling.
It's not like we're absent of theoreticians, but we don't have any motivating theories.
really. I mean, all those hypotheses are, you know, like they're very, they're very specific kind of,
like, model. It's not talking about general principles. So I don't, I don't really think of, like,
the RNA world hypothesis is a general principle for origins of life. It's a very specific kind of
set of idea that was designed to be experimentally tractable and relate to life on Earth.
But what I would really like to see the field move toward is having theory for what we think
life is and trying to test it by doing experiments that could test it or looking for
or using, you know, searches for life on other planets as tests of hypotheses about what life is.
Can you give us an example of something that you would either do or advocate people doing in the lab
to touch on these ideas?
Yeah.
So one of the things I think is, so there's been this kind of, like, newer set of ideas related to what is, like, so-called, quote-unquote,
messy chemistry in origins of life, which is, like, messy chemistry.
So people are doing a lot of this kind of, like, soup chemistry.
So it's a little bit like the Miller-Yuri experiment was done in the 1950s,
and it was famously produced amino acids from some gook.
But the idea is now to try to have some simple building blocks,
but have them coupled maybe to an environmental source
and also do multiple experiments.
So my ideal scenario, and actually I work with experimentalists.
So one lab I work with is Lee Cronin's lab at University Glasgow,
and they do these kind of experiments.
So I've been on some work with.
them on that. But they take these soup chemistries and they try to change the environment by
like having different minerals introduced to the system as a like changing the history of the
chemistry or changing the pH and there's a lot of like hydrating and dehydrating. And so you
have these environmental cycles that you introduce to these messy chemistries. And then what you see
is you get really different product distributions out of different histories. But what's interesting
is you never reproduce the same exact set of products, but you do reproduce features.
So in...
I mean, sorry, if you do the same experiment twice, you have different answers.
Yeah, because chemistry is stochastic.
Okay, so they're just random fluctuations.
Right, or, yeah, and also, I mean, it's just like these are, you know, lots of different
molecular species and the commentatorics we were talking about before, and then molecules
can be catalyticly active, so they change the nature of the distribution.
and that's exactly the kind of dynamic you want to get to life, right?
Because you want a changing history over time.
So the kind of early adopter effects.
If one molecule comes into existence early, it can change the whole future progress.
It can change the whole future, yeah, exactly.
And that's exactly what we want to look for and amplify and understand the statistics over.
And so in some sense, it's like we need a statistical approach to chemistry in the same way
that people took a statistical approach to understanding, you know, like thermodynamics in the 1800s and things.
But like how do you actually do statistics over chemistry is really difficult because chemistry is, you know,
quite complex. But you can see where the information theory is coming in now. Yeah, exactly.
Yeah. And so what I like, and also it's sort of like, you know, physicists are assessed with like
macro states and microstates, right? And I like this because it's starting to get into like a
macro scale view of chemistry, right? You don't care about the specific details of the chemistry and
the history, but maybe there's some macroscopic properties of the chemistry that are reproducible
given a certain history. And those might lead to specific features that are lifelike, potentially.
Do you think that the origin of, and this is something you just have an opinion on. I'm not necessarily
something you have established, but do you think that when life started, it required some
leap, some sort of very unlikely fluctuation, or was it more or less inevitable given the conditions?
I am not sure how I, like I get asked that question a lot and I've thought about a lot, and I don't
think I have a firm opinion when we're the other. I think what I do think is in some sense,
like if we think the original life is a reproducible process, that if you get the right conditions,
it should happen, but with the likelihood it would happen is still uncertain.
Okay.
And so with these kind of experiments, one thing that I was describing that I like is, like,
they're being roboticized so you can automate this process.
And so I have in my mind this vision of like, you know, like a large scale original life
experiment, which people have actually tried to get off the ground various times.
So there's been a lot of talk over many, many years about like when CERN, you know,
finally shuts down.
and maybe they allocate all those resources to origin of life stuff.
And it's my secret hope that that would.
I don't think that they're planning to shut down.
No, no, but I don't think so either.
But I do know there have been several original life meetings at CERN talking about
like whether some of the resources from CERN could be used for origin of life.
And whether that will ever actually happen or not is another thing.
But I do think I think one of the things is like right now the field is, as you were saying before,
like it's in this very early stage of development.
Right.
And it's like we don't have standard model.
and we don't. And so it's like every isolated lab has their pet theory they're working on.
And the experiments, you know, they're exploring one tiny regime of chemical parameter space
and one tiny set of conditions. And imagine if we could get all those labs together and
build one massive experiment that was exploring, like, the statistics over what's chemically
possible when we start to get lifelike structures and when we don't. And what I like about that
is because we don't know the probability of the original life, we could at least start to build
experiments to bound it, right? So we have like, for example... Is it easier? Is it hard?
Yeah, so for example, we have like the Supercomioconde experiment, which is trying to bound the proton decay, right?
And so every time we don't observe that event, we know it's less likely, right?
So could you think about the origin of life that way?
And it would be like a much more agnostic way of thinking about the physical process
because you're now looking for things in chemistry to happen and trying to characterize them
rather than imposing what you believe is like the original life story.
And there's probably orders of magnitude less funding for origin of life research than for particles.
Yes, yes, yes.
Is that just because the achievements have been less tangible so far?
I think so, and I think there's less convincing narratives, to be honest.
Because I think, like, when you go through all the different hypotheses people have,
they tend to be very disciplinarily divided, and they tend to be very, you know,
there's not like a clear path that lots of investment would be needed,
and this would really solve the problem.
And I think the challenge for the original life community is,
that we really do need to build that convincing case, because if we are going to solve a problem,
I think it's going to have to be a massive international scale effort. It's not a trivial problem
to solve, but we have in our mind that each little lab is going to solve its one little part,
and then suddenly the whole narrative is going to come together. And life's, you know, I mean,
with the Miller-Uri experiment, it was like almost ridiculous the way the newspapers were talking
about it because they got amino acids in a couple days. And then, you know, they had these pictures
of like, you know, aliens crawling out of the test tubes. And it's just like, it's like, it's like,
they were excited. They didn't realize that it was much harder to turn to amino acids.
into proteins. Of course, yeah. And I think at the time it was right. It was very revolutionary
that that could even happen at all. So then they thought, well, maybe the subsequent steps
should be as easy. But we haven't found that to be the case. And they might be, it might just
be we're looking at the wrong conditions. And maybe somebody's lab will just magically pop out
some new alien life form. But I find that highly unlikely. So I think there does need to be sort of
a transition in the field as far as how we frame the question, how we think about the question,
how we collaborate to make headway on the question,
and I think we're just not quite there yet.
Is there any usefulness in either replacing or augmenting these chemistry experiments
with computer simulations, or is it just the space of possibilities too large?
My personal opinion on that is going to be a little bit philosophical,
but I think there is something different between simulated reality and real reality,
physical reality.
And I think if you want to simulate things in a computer, it's fine,
but I think since we don't know the physics, we actually have to do the experiments.
Well, we know the standard model of particle physics.
We do.
We do.
Indeed.
But I, you know.
Is that not enough, you think?
No.
Okay.
I don't think it's enough.
Okay.
I think this is where we're going to diverge.
No, I know.
I'm sure we're going to diverge on some things.
Say it.
Say it out loud.
Do you really think that the core theory, the standard model of particle physics, is not up to the task of explaining life?
Yes, I do.
I don't think.
How could we change it?
Or how do we look at.
Well, I just, I mean, I think it operates at a certain scale of reality and it's
really good at that scale. And I think that there are probably other kinds of physics that emerge
at other scales, like, you know, longer length scales, longer time scales. And that's really where
the physics of information or whatever this thing is that we're talking about exists. And it's
somewhere in chemical space. And it's just not, it's not encapsulated in what we call the standard
wall. So I don't know if you know, of course, the word emergence is something that people disagree about what
it means just as much as information and things like that.
Actually, since you brought that up, I'll just mention this because it's really funny.
But like at my group meeting yesterday, we were just talking about all these words and
everyone just wants to throw away information, complexity, emergence, and life and something.
Like all these words are just so loaded and means so many.
Consciousness and free will, you might get me to sign on.
Yeah, yeah, yeah.
Well, we also were talking about those and like trying to throw them away.
And decision making is another one that's hard.
So there's like all these, yeah, that we, concepts we're struggling with where people don't know
where the words are.
So there is a nice paper, a classic paper by Mark Bedou, about what he calls weak emergence versus strong.
And other people have learned about this too.
And basically, his suggested delineation was properties at the higher scale are weakly emergent.
If in principle you could put the microscopic theory on a computer and simulate it.
Yes.
And get the answer.
Whereas they're strongly emergent if you can see them at the higher level,
but you could never even simulate the thing if all you knew were the microscopic laws.
laws. And so I'm a big believer in weak emergence, not in strong emergence, but you're probably
I'm a big believer in strong emergence. And part of my reason for that is the standard model is an
equation written down by humans. And it emerged from human minds. And so I have actually, so one of
the thought experiments. So we're all the other equations. Yeah, no, exactly. So I think, I think there's
something interesting because we want to try to reduce biology to physics, but physics is an emergent
property of biology. And I think, I think that's actually deeply important. And so one of my favorite sets of
thought experiments that I play around with now is to think about what math is as a physical system.
And so a lot of people are interested in mathematical physics and, you know, why is it that math,
you know, like Vigner had this unreasonable effectiveness of mathematics, right? And so like we don't
understand why math corresponds to physical reality so well. And then you'll get people that, you know,
like Max Tagmark's mathematical universe hypothesis, just all math exists somewhere.
Recent podcast guest. Yes, okay, good. There you go. I can refer to that podcast. So, which I like,
it's elegant, but I think I think what's interesting to me to think about is to think about math
as a kind of information and one that evolved out of biology. And I think it's a really interesting
microcosm of trying to understand the physics, because I think the reason that we think
that mathematics does work so well for us as the language of science or physics is that
it's the kind of information that is the most copyable between different physical systems.
So if I make a semantic statement, you can misinterpret me. We've been debating.
information, you know, for the last, however long we've been talking. But if I make a mathematical
statement, you know exactly what I mean, right? And you can put it in the computer. The computer
knows exactly what it means, right? So there's sort of a different quality about transferring
information between physical systems in mathematics than in semantic language or in any other kind
of way that we might have abstractions or represent information. And I think that's one of the reasons
that mathematics works so well of describing physical reality is because it's this abstraction that
human minds have evolved, that's really good at being represented in different media.
And that's also probably in some way why we get dualities in physics, why like one kind of
physical reality looks the same mathematically as another kind of physical reality.
So there's some kind of bias because we're able to look at certain things in certain ways.
Yeah, yeah. And so I think you can make those kind of arguments about the standard model,
but I'm always intrigued by this idea that the standard model is effectively a course-graining that
we've made of certain regularities we've seen in the world and it's effective description that
works really well. But we're a physical system that made that model. Yep. And we use that model.
We're involved in it. Yeah. And we made that model to build, like, and we use that model to build
giant detectors that can probe, like, the smallest scales of physical reality, right? But, like,
in order to get to that loop, you had to go through a system to even, like, be able to construct that.
And I think, I think that loop is really deeply intriguing. And there's some physics that describes
that loop that's not encoded in physics as we know it because we have to suddenly it's
in it's actually in some ways it's deeply related as a problem of the observer in physics right
because we don't know how to put the observer into physics yeah all this reflection
self-awareness yeah uh recursion i guess is the word i'm yeah and that's i think that's
why it's so hard because we don't we don't know how to reason about ourselves agnosticly
well what about i mean you you had this definition uh of
life. Maybe you didn't claim it was a definition, but this way of looking at life is something
that uses information to manipulate matter. Can I ask where the information comes from? And do you
have a picture of the universe starting with a lot of information and life learning to take
advantage of it? Or is information created in the process of life being coming into existence?
I think it's created with life in some sense. I think the physics is there, but I think
biology is accumulating or generating information. And in some sense, like if you wanted to go to a
Shannon-esque definition. It's sort of like the exclusion of possibilities. This table exists,
so it has a lot of information in it, because if you want to think about all the possible
configurations, that could be this table, most of them are not this table. So to make specifically
this table, it requires a lot of information. So if you wanted to go to like the traditional
physicist narrative, you can think about that, and that biology is basically storing the information
specific to a table. But, but wait, but wait. Or generating information specific to a table.
That's why I want to know the difference between. Was it there and we organized it? So in your view,
is information conserved?
I've debated this a lot.
And you know who asked me this question all the time
is Paul Davies, actually,
because he's always like, yeah, another physicist.
I don't know.
Okay.
I'm deeply intrigued by that question.
I am deeply mystified by it.
So I think one of the questions I keep going back to,
there's a lot of things I kind of like,
I can't decide which side of it I'm on.
And one of them is precisely your question
about whether the original life is the origin of information
or if information preceded life.
I bet there's a sense in which both of those are true.
Yeah, probably.
For different senses of the word information.
Yeah, yeah, yeah.
And I think that gets a way to trip ourselves off.
Yeah, and I think that's also hard about working in new conceptual spaces
because when I use the word even, I use it in different ways.
Yeah.
So I think when you're trying to build a theory, you have many ideas of the theory in mind,
and they're conceptually related, but they're not all identical.
And then like where you are in the space of ideas at any given time,
shifts. And I think that's healthy for developing new ideas, but it's very hard to describe what,
you know, like you can't say something concrete about some of it. And you could be on both sides of
that seem like they disagree with each other because they're... Well, why don't we spin it as
saying that, you know, to the young people out there listening who might decide to be future
origin of life information theory researchers, there is a lot of possibilities. There are a lot of
possibilities out there. There are interesting ideas of easy. There's a lot of scope for creativity.
Questions that are easy to ask and hard to answer. Yes. Yes. Yes. I think
think it's hard to ask the right question.
Right.
And then when you ask the right question, it might be easy to answer.
So I would actually flip, you know.
Yeah, okay, that's also true.
That's also true.
So easy to ask some questions, hard to ask the right questions.
Yes, yeah, yeah.
And I think that's where a lot of the creativity is.
It's like, how do you know which question to ask?
Okay, but let's, let me rephrase the angle I've been getting at maybe in a different way.
Is there something that information, that thinking about information has brought to the table already?
that has been very helpful in understanding how life comes to be, or is it more an aspiration?
I think it's an aspiration, but I think there's a couple helpful things about the dialogue
as far as reframing how we think about the life problem that I find really useful,
and I think should be useful to the community independent whether they think information is the right way
of thinking about it. One is that life should be quantifiable in some way, that, you know,
there is like a property of life, and it's not like a black or white criteria that the system
is not alive, this system's alive, but there might be more of like a scale of life.
Like, this system's more alive than that system because it's more of a manifestation of that
physics. In the same sense, you have deeper gravitational potential wells or something, right?
So there should be some kind of, you know, objective property. It might be a high dimensional
space of objective properties, right, because life is a complex system. And so we might just need
to figure out, like, all the parameters that we need to measure to say something about how alive,
but at least this idea that life is, life has universal properties and they're ones that could be
formalized in a quantitative way.
And I like, but not to interrupt, but
you sort of made this point
that if we
ever went to another planet and found
an artificial satellite circling
it, we would not have found life
but we would know there was life down there, right?
It wouldn't have just happened. Yeah, exactly.
So somehow there can be the
impact of life on the
universe. Exactly.
Can be something that goes hand in hand with life without being
life. Right, right, exactly.
So I do think that life has like an
indelible imprint on the universe in the sense that it actually generates things that would be
impossible without that kind of process. And I guess what you're getting at is that we'd like to be able
to know how to quantify that. Yeah. Yeah. Yeah. Yeah. Exactly. So that's one. Another one is that life is not like
like we have this idea of life being chemical and we need to define it in terms of individual units like a
cell is a fundamental unit of life, but that it could be more about like a process that occurs over
space and time. And that's much more of like there's this whole field of open ended evolution.
that just wants to understand what kind of processes can generate structure indefinitely, right,
as an open-ended process.
And so you might think about life just as that process.
You mean outside of specifically Darwinian biological evolution?
Yeah, just, yeah, what is open-ended evolution?
Does it actually exist in our physical universe?
Those are interesting questions to ask.
Because there could be physical bounds on how much intelligence technology could do
or how much biology could do.
Because we, you know, we have this idea that biology generates novelty,
and that's, or technology generates knowledge.
and there might be physical bounds on that process.
And so does it continue indefinitely and how open-ended actually is it?
But that's just to bring in like a separate set of ideas to the mix,
but just the idea that life is not necessarily bounded in the physical structures we observe.
And there could be something like something hidden underneath that.
So like it's interesting to me that people think like life is going to have this definition
that's obvious based on the physical structures we see.
It reminds me a little bit of like when people are trying to,
describe planetary orbits with epicycles, right? So it's like you have these like, you know,
these models that are just very obvious based on like what you actually see, but they're
completely unexplanatory or predictive. And then, you know, it took a long time and a lot of
deep intuition and deep thinking, you know, for Einstein eventually to like come up with this
idea of the curvature of space time underlying gravity. And that is like deeply unintuitive.
It's not like I sit here feeling like I'm embedded in, you know, a space time manifold and it's
curved right now. So I think, I think to think that the physics of life doesn't have something
equally odd and interesting underlying it is something that's really hindered the creativity
of the human mind to really approach that problem.
Do you think we could be living in a simulation?
Potentially, but I think that question's kind of, I think it misguides thinking, right?
So I think one of the things that's interesting for me is that we take computation for
granted in the sense that we think computation can happen in any physical system.
and it's equally equivalent.
And I think that there is something about, like,
some physical systems can do some computations
and some physical systems can do others.
So I don't think that computation is, like in the same way,
I don't think mathematics is abstract and exists autonomous
to physical reality.
I don't think computation is either.
And so I think you could ask it for a simulation,
but I think simulations have to be instantiated
and the properties of that physical media actually matter.
So the idea of simulating whole universes,
I think, would still ultimately have hallmarks
of whatever physical system underlied that.
Okay.
Somewhere.
Does that make sense?
Maybe.
I thought that where you're going to go is, you know, once you have...
And I'm not sure life can exist in a computer, I guess, from that perspective.
Well, that's where I was going to go, because you were talking about, you know, the different ways that life could be.
And whether I was going to ask whether we could make it, you know, purely virtually, whether that would count in some sense.
Well, so, so I don't think it would count in this...
You could make a projection of life in a computer, but I don't think it would be quite the same as life in chemistry, but it would probably still be life.
So in the same sense that I think, like, you know, the table and the table and the...
microphone or examples of life.
Because they were created by living
organisms. Yeah, and so Michael Lachman
and I wrote this essay for Aeon about
the distinction between life and alive and life was
supposed to be like objects like things like
microphones and tables and chalkboards
and things that require
an evolutionary process to create them, but things
that are alive might be qualitative different because
they're the things that actually actively can
construct those kind of things.
And so
I think
making those kind of distinction
can be quite important as far as how we think about it.
I've totally forgotten my train of thoughts.
Well, if you define, if we agree that some aspect of life is using information to manipulate matter,
then maybe if the life is just in a computer, it's not doing that.
Yeah.
Oh, okay, yeah.
No, and that's true.
But it is in the sense that electrons are moving around the computer.
It's just, and that's what I mean about it being a flat projection of it.
It's like so separated what we're looking at from the simulation from its physical implementation
that I think it's just, it's masking what the actual physics is.
Yeah, okay.
And so that's why I favor trying to think about chemistry from an informational perspective
and thinking about chemistry as a substrate of information
because I can think about the physics of life at any scale of biology.
But the thing that's nice about chemistry is it's like the base level of biological reality,
so it's the easiest to see the physics clearly.
So when I talk about, you know, like biology creates or biology uses information to construct
things that couldn't exist otherwise without in the absence of information. When I talk about that
with a molecule, it's very clear, like, how to think about that, you know, like, there's a certain...
The molecule's capacities and how they can interact. Yeah, yeah, and the fact that molecular space is huge,
and I, but I can actually, like, count that space, right? Like, the space of possible tables,
I don't even know what the objects are, right? So, so I think, I think chemistry is a good
microcosm for studying physics of life from that perspective. And so when I study biochemistry,
like we do a lot of work in my group studying statistical regularities in biochemistry,
like trying to understand biochemistry is like from a statistical perspective,
what distinguishes the ensemble of living chemistries from non-living chemistries?
And the way I think about that is like part of like,
although I'm just looking at chemistry,
the chemistry that biology has is shaped by all of those higher scales, right?
So it's actually still, it's the physics at the base level,
but it has the imprint of all the information of the high.
higher scales. And one way to think about that is just to think about what is the chemical space
that technology has opened up, for example. And in order to get to technological chemical space,
like pharmaceutical drugs and the kind of things that we're doing in chemical space now as an
industrial civilization, you had to go through billions of years of evolutionary process and
invent chemistry and then, you know, to get there. So there is this kind of interesting thing where
life emerges from chemistry. But like if you want to talk about like quantum physics and stuff,
it takes billions of years for life to invent quantum mechanics,
and then life can actually impact the quantum scale
by building quantum experiments and things.
So it's not like life can potentially manipulate any scale of physical reality,
but it emerges in chemistry.
And I think trying to understand where that imprint is on chemistry
and how many orders of, you know, hierarchy,
like multicellularity technology, social systems,
and like what their capacity is of all that information
to then expand the space even further.
And it's all just different ways to use information, right?
Yeah.
That is clearly a sort of unifying threat.
Yeah, it's a unifying threat through like everything I think and do.
But I think it's, but the problem is that question is so hard to get at.
You have to look at like where can you actually make the traction on it.
And so that's one place where I feel like there's really concrete ways of trying to get at that physics and at least see parts of that physics.
So maybe to bring it home, we can think a little bit more pragmatically about exobiology, right?
For one thing, do you think there's life out there else for in the universe?
I mean, it's kind of your job, too, I guess.
Yeah, so I guess, yeah, I guess, yeah, no, it would be very weird.
So I think I'm obviously like I'm a very optimistic person in general, it's just my personality,
so I'm very hopeful there's life out there.
I think that we don't know enough about what life is, though.
So I can't make a concrete statement one way or the other.
And I think one of the things, you know, astrobiologists have a tendency to,
like want to state the odds of life.
So you'll often see like headlines, you know, like more exoplanets with water discovered,
the likelihood of life in the universe has increased, you know,
and you're like, we have a 10% chance that any of these exoplanets has life on it.
But actually we don't have a clue, right?
And I think just being very brutally honest about that is actually more constructive
because you frame the way you do the science differently than if you assume a probability.
And so I try to, I'm obviously, I hope life is out there,
but I don't have any assumptions about what it is or what it looks like.
I just want to discover that physics.
And so one way I think about the search for life on other planets that maybe is a little bit different than other people is I actually really want to use the search for life to at least bound the probability.
And so I think the planets we don't find life on are equally informative to the ones that we might find it, right?
Because we're at least, again, it goes back to bounding the probabilities.
No results or some of the most important ones.
Yeah.
So and so I've actually.
The Nicholson-Morley experiment.
Yeah, exactly.
So again, the history of physics teaches us.
Yes.
So biased.
It's so funny.
You're in a safe space for being biased in that direction.
That's okay.
Well, I think as long as, so, like, the way I use it is, like, there's a narrative about
how science progressed, and I think some aspects of that narrative are really powerful for, like,
thinking about how science is going to progress in the future.
And I think talking about the history of physics, because physics has been really successful
in telling us about a lot of reality, like, trying to learn from that history to project,
like how we should think about other problems that physics hasn't really made traction on yet is
really useful. So I am obviously biased as a physicist to like those things, but I also think it's a
useful lens for thinking about where we are in the context of the history of science.
Do you have a favorite resolution for why we have not yet found life out there in the universe?
Yes, I think we just do not know what we're looking for.
I really do. And I think it's really interesting because...
You think it could be out there all over the place?
Potentially, yeah.
So one example, because I think a lot about life is a planetary scale phenomena.
So I think life is deeply coupled to planets, and Earth's evolution has been completely dependent as a planet on life.
And you can't really decouplead.
Actually, people and that model exoplanets have a really hard time modeling Earth without life because we just don't know what it would look like.
And part of that is that biology has controlled a lot of geochemical cycles.
Obviously, the oxygen or atmosphere was controlled by biology.
And so also should think about this planet, including modern climate change or dictated by biology.
And we're bracketed by Venus and Mars, which are completely different from each other.
Yeah, completely different.
So it's a warning.
Right. And so, yes, exactly.
But so, like, then you get, like, Titan, which is a moon of Saturn, that we actually have a mission now, dragonfly that NASA is going to send to Titan.
But Titan could be alive, but as a moon, maybe, maybe it doesn't have, so, like, it maybe never, if you think about life as a planetary scale process,
some kind of chemical organization and something happening, that's kind of like almost life,
but maybe it doesn't make the transition to cellular life and the kind of open evolution we have,
then maybe Titan could be alive. I'm totally wildly speculating just to make an example,
but I think that those are the kind of things that we haven't looked for or thought about.
In Europa and then solidus could be alive. Yeah. Yeah. So I think there's lots of potential that
that life could be. I like how you very specifically say could be alive, not could harbor life.
Yes. Yes. Yes. Yes.
Yeah, and yes.
But let me just get your professional opinions on some of the other options, right?
There's an option that says that single cell life is easy and multiple cell life is hard.
Right.
There's an option that says once you become intelligent, you kill yourself off.
Right.
There's an option that says even multicellular life doesn't usually become technological because it's underwater or something like that.
Do you have feelings about any of these?
I think it is the case that life appears to have gone through several bottlenecks that are very rare and unlike.
likely events because they happened once in the history of our planet. But I think that's also a
matter of scale again. So it's interesting because when so so they may be rare, they may be
common. We can't really reason effectively about that. But like one of the ways that I like to
think about it that I think challenges some of the ways that we even have that discussion is to
think we've had one biosphere that's been evolving for four billion years and it's had certain
things happen in its evolution. But the biosphere as a whole is a is a, is a,
system, and we don't really think about that as an evolving system because it's not a Darwinian
system, but it is an evolving system.
It is changing, yeah. And in some sense, the biosphere could reproduce itself, but in order
to reproduce, it would have to emerge a technological civilization that moved off planet and
terraformed another planet to look exactly like our planet. And then you could think about planets
as a whole reproducing themselves, which is kind of a crazy idea, but it is the way a planet
could reproduce, right? So I think a lot of the way that we frame those kind of arguments into
discussion are based on certain assumptions we have about what life is and what scale it operates,
and I think we just don't know enough about those things. So what I try to do is just find where
are the challenges to that framework and then how can we play with it. But I don't have a concrete
answer about how I think about it. Because people make the argument, like eukarygenesis,
for example, happened once in the history of our planet, and that led to complex lives.
That's getting a cell, a nucleus in a cell. Yeah, a nucleus in a cell. So we have three domains of
life, archaea, bacteria, and eukaryotes, and the standard model.
to speak of the origin of the eukaryotic cell is that an archaea and a bacteria emerged and formed
the eukary cell. And as far as we know, that happened once. And so that event is perceived to be
very rare, but multicellularity actually emerged multiple times independently. And so people make the
argument that could be more common. But it could be that these things are predisposed based on the
biological architectures that we had before. So you had a completely different original life
with a completely different chemical,
you know, biological structure,
it might have very different transitions.
Yeah.
And so I think we're not at the stage
where we can really reason about that effectively.
Do any of these considerations have practical implications
for how we search for life elsewhere?
I think they do.
So one of the things that I've been doing a lot in the last few years
is starting to work more in exoplanet science,
but thinking more about how can we frame the problem of life detection
in sort of a statistical framework.
And so I've been really advocating for more like using statistical methods
and like Bayesian inference to try to infer the presence of life
and try to construct, you know, probability distributions for what our expectations are
and actually do it more as an inference problem.
And I think that's a more fruitful way of doing it than saying,
oh, we found oxygen and methane.
We have a disequilibria.
It's alive.
And so I think, so the community is starting to actually try to build structures
to try to try to try to, like, to try to,
combine multiple lines of evidence and try to develop statistical frameworks for life detection.
And I think that's a really important avenue of future progress. And one of the things that I've
been doing personally with my group is working on like network theory, planetary atmosphere.
So we do network theory to characterize statistical properties of biochemistry, but you can also do
the same thing for planetary chemistry or atmospheric chemistry. And we have like sort of a running
hypothesis that atmospheric chemistry will have different patterns and the molecules and the reactions
used than non-living planets will. And that we might be able to get some insights about life
detection from that perspective. Now that we're in the big data era of exoplanets. Yeah, exactly. That's right.
Yeah. So and what I'm hoping is that that more of the way that biosignatures for exoplanets or even
biosignatures in the solar system are constructed and thought about is more moving toward big data
approaches and trying to use statistical tools to infer that life is present or not.
All right. Well, if we find it, you promise to come back on the podcast.
I will indeed do that.
Carve out an hour and a half.
Yes.
Okay, very good.
All right, Sarah and Mari Walker.
Thanks so much for being on the podcast.
Thanks.
That was great.
