Into the Impossible With Brian Keating - How to Talk to Aliens (ft. Daniel Whiteson)
Episode Date: November 7, 2025Get my book Focus Like a Nobel Prize Winner: https://www.amazon.com/Into-Impossible-Laureates-Concentrate-Creativity/dp/1544548850 Imagine the day that aliens arrive not with a death ray, but with ...a rug and a new understanding of physics. Daniel Whiteson's new book opens with a wild question what if aliens show up with a better understanding of physics, we can't even recognize that's what they're offering. How would you react? This is his hope that aliens might carry the product of millions, billions, or kazillions of years of alien scientific thought that would catapult us unimaginably into the future. But Daniel speculates on why we might not be able to understand even the language it's written in. Join us today for a conversation about Daniel Whiteson's new book, Do Aliens Speak Physics? And a Romp Through the Drake Equation The Future of Artificial Intelligence, and physics, and even the search for exotic new particles. Now let's go deep into the impossible. Key Takeaways 00:00 "Do Aliens Speak Physics?" 08:07 "Are Aliens Humanity's Saviors?" 15:07 Early Attempts to Contact Aliens 19:03 Math: Tool or Universal Truth? 25:03 "Limits of Understanding the Universe" 29:30 "Possibility of Alien Communication" 36:21 "Learning from Alien Discovery" 37:08 "Physics, Humanity, and Alien Insight" 46:08 "AI, Physics, and Possibilities" 51:58 Technical Talk and Nobel Prize 53:23 "Quirks and Particle Physics Missteps" 01:01:17 Serendipity and Nobel Pursuits - Additional resources: Buy Daniel's Book: https://www.amazon.com/Do-Aliens-Speak-Physics-Questions/dp/1324064641 Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here 👉 https://briankeating.com/yt to win a meteorite 💥 - Join this channel to get access to perks like monthly Office Hours: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join 📚 Get a copy of my books: Think Like a Nobel Prize Winner, with life changing interviews with 9 Nobel Prizewinners: https://a.co/d/03ezQFu My tell-all cosmic memoir Losing the Nobel Prize: http://amzn.to/2sa5UpA The first-ever audiobook from Galileo: Dialogue Concerning the Two Chief World Systems: Ptolemaic and Copernican https://a.co/d/iZPi9Un 📺 Watch my most popular videos:📺 Neil Turok https://www.youtube.com/watch?v=Dt5cFLN65fI Frank Wilczek https://youtu.be/3z8RqKMQHe0?sub_confirmation=1 Eric Weinstein vs. Stephen Wolfram https://www.youtube.com/watch?v=OI0AZ4Y4Ip4?sub_confirmation=1 Sir Roger Penrose: https://youtu.be/AMuqyAvX7Wo Sabine Hossenfelder: https://youtu.be/g00ilS6tBvs Avi Loeb: https://youtu.be/N9lUceHsLRw Follow me to ask questions of my guests: 🏄♂️ Twitter: https://twitter.com/DrBrianKeating 🔔 Subscribe https://www.youtube.com/DrBrianKeating?sub_confirmation=1 📝 Join my mailing list; just click here http://briankeating.com/list ✍️ Detailed Blog posts here: https://briankeating.com/blog 🎙️ Listen on audio-only platforms: https://briankeating.com/podcast #universe #podcast #briankeating #intotheimpossible #science #astronomy #cosmology #cosmicmicrowavebackground #intotheimpossible #briankeating #danielwhiteson Learn more about your ad choices. Visit megaphone.fm/adchoices
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Imagine the day that aliens arrive, not with a death ray, but with a rug and a new understanding of physics.
Daniel Whiteson's new book opens with a wild question. What if aliens show up with a better understanding of physics, but we can't even recognize that's what they're offering, how it would react?
Physicists hope that aliens might carry the product of millions, billions or gazillions of years of alien scientific thought that would catapult us unimaginably into the future.
But Daniel speculates on why we might not be able to understand even the language it's written in.
Join us today for a conversation about Daniel Whiteson's new book.
Do Alien Speak Physics and Arop Through the Drake Equation,
the future of artificial intelligence in physics,
and even the search for exotic new particles.
Now let's go deep into the impossible.
Today with Daniel, we're talking about his newest book.
Do Aliens Speak Physics with co-author Andy Werner?
So this is an interesting book.
And as you know, what I like to do is what you're never supposed to do
with judge books by their covers.
Hey, book lovers.
We're judging books by their covers.
So I want you're not supposed to do it, but into the impossible, there's nothing to it.
Let's take a look and judge some books.
So I want you to take us through the title, the subtitle of this book, and the amazing illustrations throughout, but especially the cover illustration.
We both forgot to bring in professorial, you know, prerogative, professorial physicist, podcaster, you know, triple P, triple Threat, take us through the cover.
What does it mean?
And how did you come up with the idea, title, subtitle cover card?
Nice. Thank you. So, yeah, the title is, do aliens speak physics? And the book is really asking the question of whether we can make mental contact with another intelligent species using physics. Because this is something you hear often. You know, Carl Sagan says that aliens live in the same universe as we. And so they must discover the same laws of physics and chemistry as we. And when you see it on television shows, it's often math and physics that people begin with to make connections with aliens because the assumption is that while, you know, psychology and economics and biology,
are about earth-based questions.
Physics is about the universe.
And Newton told us that physics doesn't just apply here on Earth, but also in the cosmos, right?
And we can see galaxy spinning and apply our laws of physics.
And so there's a sort of widespread belief that physics is something we'll have in common with aliens.
And I'd love for that to be true.
Because I want to know the answers to questions.
I want to talk to aliens about physics.
I hope that civilizations that have been asking these questions for billions of years
have figured a bunch of stuff out, right?
And they would share the knowledge with us.
But it always seemed to me to be a little bit too flattering, too self-centering, to assume that the ideas we have, our descriptions of the universe are the description.
The humanity's attempt to explain the cosmos is the reality of the cosmos.
So I wanted to dig into the assumptions behind that and to figure out, like, what do we really know about how aliens might think about the universe, whether they are, whether they have to use math, whether they'd be interested in the same things.
So that's the impetus.
And it comes really from a philosophical question, which is, you know, is physics, human physics discovered?
Is it part of reality?
Or is it invented?
Is it our description?
Is it the map or the territory?
And that was the book I wanted to write originally.
And I pitched that to my teenager who's interested in science and tech.
And he was like, ugh, philosophy and physics, yawn.
And I thought, oh, no, this is my passion project.
But then I went back.
Add in some 6-7, add in some brain.
Well, I decided to add in aliens.
I was like, well, why does it matter if physics is invented or discovered?
It matters when we meet the aliens, when we try to have that conversation.
If they have a different way of approaching explanations of the universe, it'll be quite obvious quite
quickly.
So I came back to him and said, well, what if it's a book about when aliens arrive and we
try to talk to them about physics, would that go well or badly?
And he was like, oh, I'd read that book.
And so that's why aliens are in the book.
And that's why it's about whether aliens speak physics.
is physics, the language that we can use to communicate with them?
Is it the thing we have in common?
Are you and I, Brian, just two professors in a like a galactic enterprise to understand the universe?
Wouldn't that be incredible?
But because it's philosophical, we added, you know, and other questions about the nature
of reality and the universe.
And it falls in your long tradition of collaborating with artists.
Yes.
So there's a tremendous number of artistic renderings, of many different things.
In particular, you know, just the, the, the, the, the, the,
way in which Andy, I guess, illustrates it to bring out and really, you know, make, not the dumb
down.
I hate when people say, dumb it down, but make it accessible.
And so was that a conscious, I mean, you're ever going to write a book that doesn't
have a world-renowned artist like Jorge or Andy?
I hope not.
You know, as you know, popular science has lots of different approaches.
There are some books where you read it and you might not necessarily understand it, but you feel
like you're in the presence of great ideas.
And I think there's a lot of books out there.
And some of those books, like Stephen Hawking's books, I read and I don't understand them.
I'm like, how does anybody getting this?
If you have a peach team physics and it's not enough.
So I think that's a different kind of experience.
But my goal is to write a book where you really get it with the ideas click in your mind.
Not trying to intimidate anybody with impressive cosmic ideas.
I'm trying to really make people think about this stuff and make them realize that these ideas are totally accessible, right?
Ideas in philosophy and in physics, there are questions that people have.
There are things people want to know the answers to, and the ideas, they are accessible.
And so absolutely, it's a conscious choice to use cartoons because they do several things.
One is they give you the impression that this is a book that you can't understand because, hey, it doesn't take itself too seriously.
It's got cartoons of aliens in it, right?
Also, I think it's important as a sort of pacing device.
Like, you read something that's kind of a deep idea, then you see a joke about aliens and how they might make pizza.
And it gives you a breath, and it gives you a time for that idea to sink in and really settle in and for you to absorb.
And so it's a lot of fun.
And also, you know, I enjoy conversations.
They're much more interesting than lectures.
And in this way, the book sort of has two voices.
There's the voice of the text and the voice of the cartoons.
And they play off each other and make fun of each other a little bit.
So the book becomes a little bit more like a conversation than like a lecture.
So that was definitely a conscious choice.
And I've always been a big fan of Andy Warner's.
He's done a lot of great nonfiction comics about science and about history, et cetera.
So I just called email them and said, hey, would you be interested in writing a book about aliens?
And in my history of cold email and cartoonists, I'm two for two now.
I don't know.
That's pretty good.
Well, maybe you can help me out with Scott Adams.
I don't think he's aligned with you in many ways.
But what's also kind of unique about this book is embedded within it is a fiction story.
There's a lot of, and I don't want to give away any spoilers.
You know, I interviewed Chris Hadfield of the Apollo murders and his most recent book, Final
Orbit, or Andy Weir, non-graduate of UCST.
He attended UCSD, but he didn't graduate.
like many, so many people.
But he, yeah, I would say it's the hardest thing to do
is to interview somebody about a fiction book
because, you know, you're forbidden to talk about it.
I'm not going to play the role of short form.
One of my sponsors, sponsored.
This video is not sponsored by short form, but many are.
You know, I'm not going to summarize,
but it's almost impossible to, you know,
kind of encounter a fiction book without giving away
some of the plot.
At least he has a lot of hard science fiction
and historical events and things up until the murders,
you know, spoiler alert.
It's called the Apollo murders.
There's final orbit.
You can guess what they're about.
But this book has a fiction story embedded within it,
and I kind of want to use that not, you know,
to spoil it or anything like that.
I love it when people talk about, you know,
and they're talking about a movie like, you know,
contact or Interstellar, you know, blah,
okay, spoiler alert, you know.
Like, sometimes I watch Interstellar, you know,
I actually just watch it this year, by the way.
And one of my kids forced me to watch it.
If it's been out for 20 years,
I think it's fair to talk about it.
Yeah, I've never seen that,
but it's fair game for SWAC.
Could see.
We all know how that ends.
But I want to start off with kind of the question you asked in the beginning.
Physicists hope aliens might carry the product of millions or billions or gazillions, as we know, a unit of SI knowledge, of alien scientific thought that would catapult us unimaginably far into our quest to understand the wonderful, bizarre, violent, and beautiful cosmos.
Now, do you think that there's underlying it?
I often feel like embedded in the Fermi paradox is sort of a secret projection of religious overtones or, you know, kind of god.
Godlike powers.
You're kind of a savior here, right?
If aliens exist, I mean, you're not saying that, but this is what a lot of physicists and lay people
among us feel that when aliens come, they're going to deliver the answers to the, you know,
humanity's final exam, give us the theory of everything which does make an appearance here, no spoiler.
But why is that?
Why are people so convinced that they're going to be, you know, far in advance of us instead of
us instead of being, you know, dolphins or slime mold or whatever?
This just happened to be teleported here in some, some intergalactic Lurcon seven plans.
planet BlurCon 7's, you know, science fair project.
So why do we think that they're going to be so advanced?
They're going to save us, Daniel.
They're going to be our saviors.
I think a lot of people look to space, not just to aliens,
but space exploration and conquest as the future.
And somehow out in space will leave all of our problems behind.
And if you've read Zach and Kelly Wienersmith's amazing book,
you know, that like there's, you know, a lot of projection there.
So I think people are just sort of hopeful.
The same way people like, you know, move to the frontier to leave their problems behind
and brought them with them.
Right.
And so I'm not sure that's really going to work out.
But in the case of aliens, it's potentially could because, you know, there's been a long time
in the universe where alien civilization could have developed.
The ingredients for life have existed for billions of years.
So it's certainly possible to have ancient alien civilizations.
Your question, how would we know they're going to be more advanced than us?
Well, if they just exist on their planet, then who knows, right?
It's just algae or dolphins or whatever.
But if they arrive here, then they have at a bit of them.
at the very minimum, have technology that we don't, right?
If they can cross the stars, either they have technology or patience or funds that we don't.
A long-lifference that, I think Brian Johnson and the answer.
To, you know, criss-cross the universe and to come here.
And so that's why in the book I focus on that scenario, when aliens arrive, they have this technology.
What can we learn from them?
Because although I'm enthusiastic about SETI, for example, as I write in the book,
I think the prospects for that kind of communication and mental contact are,
are basically zero.
I think it's...
Because they don't exist.
I mean, I resonate with this,
but to be devil's advocate
or, you know, aliens advocate,
because such advanced life forms
don't exist or because the universe
is so capacious,
we can't ever hope that they could come to us
or we could get to that.
Why do you say that?
I think it's just,
it's not a scientific assumption.
Sorry, it's not a scientific statement,
but I hope and assume
that the universe is filled with life
and that there's intelligent life out there.
But I say that it,
it's impossible for us to make a mental connection with those aliens,
because I think the task of decoding an alien message is probably impossible.
You know, we take our ideas, we encode them in some language.
There's a translation there.
You know, you go from ideas to symbols, and those symbols are always arbitrary.
Yeah.
There's no set of symbols which only have one reverse encoding.
And so you have to know something about the people who encoded it in order to decode it.
Like when we decode human languages, right?
We look for a translation that makes sense.
You know you've decoded it correctly when, like, clear text pops out and it makes some sense.
In the case of an alien message, how do you know what it's supposed to look like?
How do you know if you translate it correctly, you would be able to make sense of it anyway?
The ideas themselves are so alien.
So what do you make of these, you know, sightings by prominent?
I've had them in this very often, not when it looked as nice as it does for you today.
I had a prominent fighter pilot Ryan Graves in here who's claimed that not necessarily.
He has seen objects, but that his squadron mates and others have seen it, and he has a side quest to make aviation more safe, which is admirable.
But tell me, I mean, what do you make it?
David Grush and Lou Elizando, he was not a fighter pilot, but it was a military guy.
Sure.
All these different people that claim that not only are alien, do aliens exist, not only are much more advanced than us technologically, but we have actual physical cold hard encounters evidence and not just eyewitness stuff, but circumstantial.
even physical evidence.
Grush claims that there's a craft with biologics within them.
He said to my friend Jesse Michaels, you know, the spacecraft has aliens in it, you know, bodies in it.
So what do you make of these people that otherwise got to very high levels of, you know, government security clearance?
Are they just, you know, kind of lost it?
Or what do you make about it as a scientific, from a scientific point of view?
Well, I don't know these folks personally, but I hope that they're right.
I would love if aliens were here.
I would love if they were craft on our skies.
they were extraterrestrial or non-human intelligence.
I would love if, you know, I would have loved if Omuamua was a light shield, I'm sorry,
was a light sale.
I would have loved if Atlas was a probe from aliens.
I'm a big fan of all that.
I want that could cover your class or they'd go to this dean's meeting that preempted us from me?
So I can sell my book intergalactically.
No, so that we could learn these secrets of the universe from them.
Like, you know, what an incredible moment to make contact.
Everybody's excited about that.
Scientists, non-scientists is an example of,
the kind of things we're all fascinated by.
So I want that to be true.
But I also want it to know that it's true.
And for me, that requires more than just a story.
And so we've heard lots of stories and we see fuzzy videos, but they all have other explanations.
And the stories we hear of evidence don't come with the evidence.
You know, so a guy says he has some evidence.
That's a story.
It's not the evidence.
And I'm not an expert in these things.
I haven't gotten into the debunking and the debunking of the debunking of the evidence.
the debunking, but I would love for that to happen, but I haven't seen the hard evidence yet.
Even knowing the history of, you know, encounters between alien civilizations, you know, between
continents, you know, it's not like when settlers from Europe came to America, they shared
the, you know, secrets of calculus or, you know, in Middle medieval, you know, kind of Capri,
Covernican theory, right? I mean, they did a lot of bad stuff and did a tremendous amount of,
you know, kind of enslavement and torture and warfare. And some things were in
intentional, and some things maybe weren't, but it was certain.
For example, the burning of all the Mayan books was intentional.
Yeah, and that's for sure.
Eminet, would you mention in here is a way to kind of deco?
Let's touch upon one thing that I found very fascinating.
You say something to the effect that language and skills kind of only evolve in my interpretation
to meet the technology of the species.
In other words, dolphins don't need quantum mechanics, right?
Even we didn't need quantum mechanics until very recently.
Maybe you do some speculative fiction.
You know, what would have happened if Einstein?
you know, new quantum mechanics as a five-year-old
and started asking questions about that.
I think it's like the Simpsons, you know,
like Abe Simpson said, the Homer,
if you go back to the past,
never step on a bug because you'll, you know,
ruin the future.
But tell me, I mean, what would it look like?
I mean, could we even communicate?
What is the speaking?
What are we speaking when we speak physics,
as you say in the title?
Yeah.
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It's a great question, and you have to get into the specifics, like, what do we really mean?
And, you know, humans have tried this.
In the 1800s, von Littrow, like, dug trenches in the Sahara, filled them with kerosy and wrote out mathematical equations and set them on fire, hoping the Martians would see them and go, oh, look, there's intelligent life on Earth.
So, you know, that's like early attempts.
And then Carl Sagan and Frank Drake with the pioneer plaque, they, like, took, they made a depiction of the hydrogen atom and put it on a plaque and hoping that somebody would see that and go, like, oh, yeah, that's a hydrogen atom.
And, you know, what are the chances that aliens could really understand that?
well, I put that pioneer plaque in front of a bunch of UCI grad students.
And, you know, this is a very easy audience.
They're like physics grad students.
They're biologically human.
They have the same culture as these folks.
They had no idea what this thing was supposed to mean, right?
Like, because the picture.
Newty picture.
We'll show a clip of a pioneer plaque here.
That's a little risque for today's audience.
But, you know, in the corner, there's hydrogen atoms.
And, like, that describes how we thought about the hydrogen atom for about 20 years,
about 100 years ago.
Right.
And so it's a moment in our culture.
It's just an example of how.
how difficult it is. So, yeah, how would you communicate physics? You need some symbols. You need
some common language. And so, you know, I think if we just get a message, it's impossible. But if they
show up, then we have a context in common physically. So we can, like, begin with math and say, like,
here's a donut. Here's two donuts. And you can point at things. You can have that context. You can
associate the symbols with the object. So I think it's not impossible if the aliens have similar
ideas in their minds, which is a big if, for us to find some symbols and associate them with them, if we share that context in common. That's why I think alien visitation is crucial to making any progress at all. If we're just sending messages back and forth across the stars, we're going to be decoding it forever and having no idea.
So, you know, the famous 1962 essay by Eugene Vigner called the reasonable effectiveness of mathematics and the physical sciences. You mentioned aspects of that in this,
book, it seems like if they speak anything, you know, remotely, you know, possible for us to
decode, it might not be physics. It might be, which is layered upon layers of partial
differential equations predominantly, but it might be mathematics. So why would, you know,
why is the book not called it, do aliens, what do they speak mathematics or do they know,
calculus and A-B? Yeah, yeah, it's part of the question, right? In order for them to speak physics,
they have to also speak our mathematics. And it's a fascinating component of it. And, you know,
who's done physics knows that, like, mathematics is incredibly important to the way we think
and express physics, but also to discoveries we make, right? How many times in the history of
physics has mathematics led the way to reveal something true about the universe, you know,
from Maxwell, like, putting the equations together and feeling like mathematically,
this could be prettier. There's a piece missing. There's a symmetry that's not exact here.
And he, you know, essentially proposes this new piece and then goes out and discovers in the
universe. That's math showing us the truth of physics. Or I remember as an undergrad learning quantum
mechanics and seeing those calculations to like nine decimal places and then they measure it to nine
decimal places and having what, you know, felt to me like almost a spiritual moment where I'm like,
wow, this isn't just a description. This is the source code of the universe, man. Like this is how the
universe decides what happens to an electron. I mean, because as you're saying it, yeah, I get goosebumps.
Yeah. You are now them, okay? You are one of the foremost experimental.
physical physicist. You work in the LHC, up the road. You work on Atlas. We work on CMS. So we've got to wrap up
the interview now. These are rivals. But, you know, as I said, getting close. You're friendly.
Yeah. We're all in the same project of understanding Mother Nature, right, Daniel?
Me, you and the aliens, yeah. So how does it feel now? You are the them. You are the people now
getting things to 10 decimal places. That's an awesome responsibility and awesome accomplishment.
How does it make you feel just as a human being? Oh, it's hard to put yourself back and you
shoes of who you were when you were an undergrad hoping that you could spend your life answering
questions or asking questions about the universe. I feel very lucky, very privileged. Things went
just the right way for me at the right time. I was in the right place, many moments and very
fortunate. So I feel grateful. But I also no longer agree with, you know, 21-year-old Daniel
about this philosophical question of whether math is part of the universe because I've been
exposed to other ideas. And there's so many really powerful skeptics, so many really powerful questions
I don't have answers to. You know, like, is math more than just effective? Is it necessary? Like,
it's possible that math is very powerful and helps us think about the universe, but it could also
just be a tool we use. And I read this great book by Hartree Field called Science Without Numbers.
And he argues that a lot of the machinery we use in our calculations, which is mathematical,
are sort of intermediate points.
You know, things that you don't need.
They're helpful, but you don't need them.
For example, a field, right?
What is an electric field?
Does anybody ever seen a field?
No.
A field you can only measure by its effect on particles.
And so, in that sense, we put these numbers everywhere in space,
but do we know those numbers are really there?
Does a field exist when you're not looking at it, right?
Philosophical question we don't have an answer to.
And he goes beyond that, and he says,
well, this idea of putting numbers in space,
why do we need the number line at all?
right? The number line is sort of an abstraction. You have things that are like bigger and smaller, further and closer, and then you assign values to them. And so he developed a theory of gravity without any numbers at all. So his book is called Science Without Numbers. And it's not a pretty theory. Like it's ugly, it's clunky. You would never use it. But it makes the point that this thing we thought was fundamental turns out to be an accelerator. It's just useful. And, you know, we can't go from that to like all of physics. He just did one portion of it. But for me, it really
struck a tone of doubt. Like, how do we know? These things I like to believe that math is fundamental
to the universe and that aliens must also discover it. But how do I know? What is a skeptic? The
scientist in me? Do I have any data? Or is it just a compelling belief? Because, you know, the history
of science is having those compelling beliefs, those intuitions peeled away when you see the data. You're like,
oh, wow, the universe doesn't require classical paths at a quantum level. It's crazy and insane in a way we're still
trying to deal with. So I think we need to be skeptical and we need to accept the fact that some of the
things that make sense to us that feel comfortable that we'd love to believe might not be true.
And the book essentially is asking us like, well, how strong are the counterarguments? Can I make a
reasonable argument against some of these assumptions to try to open people's minds to the idea
that aliens might be much more alien than we expect? Right. And completely incompatible, even with our
modalities of communication or comprehension. It's funny because I'm kind of going on the opposite way, you know,
to turn things to my favorite subject, which is me.
The opposite direction for me is that I'm wondering if there can be a one-to-one
mapping of every mathematical structure into a physical structure.
I'll give you an example.
Like we teach classical mechanics, and we know there's this concept called the Poisson
bracket where you take simultaneously the measurement of the position of a beach ball
and the position of and the momentum of the beach ball.
And you can do those commensurately.
those consecutively. You can commute those measurements. You can measure the momentum first,
then the position, vice versa. So when you construct the mathematical operator of position times
momentum, subtract that from momentum times position, you get zero. So that's a commutation relation
that vanishes. When you add the concept of square root of negative one and a constant called
Planx constant, then in quantum mechanics, that same exact, identical mathematical structure
is non-zero. It equals the square root of negative one. It is so bizarre that that happens. And I
I've, you know, wanted to write an essay called on the unreasonable effectiveness of the square root in the physical science.
Because I think it's even more, you know, than just mathematics.
Yeah.
When you, when you invent something like that, once you have that, then you have quantum mechanics, then you have the shorter than our equation.
Once you have the concept of a four-dimensional matrix space called the Pali matrices, you can represent spin one-half and that kind of gets represented as a square root of a three-dimensional,
operator in real space, you get the complex two-dimensional representation of the polymatrices.
Quaternion.
Quaternians, ottonians, right.
So my concept is like, does everything, and I asked Terry Tao, our, you know, collaborator in the University of California system.
Yeah.
I asked him basically, does everything in math, you know, exist?
And he basically said he doesn't know.
Yeah.
We can't really know that.
So in the book, you talk about kind of just a way of maybe describing math, you know, science without math or something like that.
You say, what if, you know, these aliens, and aliens are a proxy for just, you know, maybe physics we don't understand.
Yeah.
But maybe aliens can smell electrons.
What kinds of, you know, kind of hidden, and made me think of hidden variables.
It made me think of things that we used to think, like, oh, we knew everything, you know, in a famous statement by, allegedly by Thompson, but it really wasn't by Lord Thompson that the future of physics is in the last decimal place of six-digit numbers or something.
That was in 1890, yeah, right before a plank, right?
It couldn't be more wrong.
And I went to his,
I went to the University of Glasgow.
I went to Maxwell's birthplace
this summer.
I had a Scottish tour.
It was really great.
But tell me,
did you have haggis?
It's hard to find kosher haggis.
Yeah, I tried, but it's very hard to find.
I had vegan haggis when I was in Scotland.
There's a name.
Oh, that's kosher.
Why'd you tell me?
Oh, man, we could have,
you could have hooked me up.
That would have been great.
I did have some scotch and I did play some golf at St.
Andrews.
That was nice.
But tell me what other kinds of things are stranger than possibly we can
imagine that might preclude us from ever being able to understand the codex, uh, alienus or whatever it is.
Yeah, I think, uh, you hit on something there, which is how we perceive the universe, because
we know now, of course, that the universe as we imagine it, I have this model in my mind of your
chair and your body and the, and the floor here, that there's much more going on. Our senses don't
reveal everything. And, you know, we've overcome that, of course. We have technological senses now that can
tell us that there's neutrinos flying through us, and there's oceans of dark matter,
and there's a dark energy out there, and all sorts of stuff.
And we have a reliable way to probe the universe beyond our senses.
But I think in the end, we're fundamentally limited in our understanding and in our intuition
by those original senses, because we tend to translate our new technology back into the
original language, like our basis set of our minds, the eigenvectors of understanding,
are our visualizations.
or, you know, the structures in your head,
those come from your senses.
So when we take pictures with James Webb, for example,
you don't look at them in the IR, right?
When you get, yeah, you translate them into the visual spectrum, right?
And we do that with everything.
You take gravitational waves and you listen to them like their sound chirps, right?
Everything gets translated back into our intuition.
And so now imagine aliens.
Maybe they evolved in a different setup
and have slightly different senses that suit their evolution.
that I think also might mean
that they have a different intuition
and they translate things
into their intuition
and we might just not have an overlapping intuition
so things that make sense to us
that we go, oh yeah, that clicks, I get it.
They might be like, well, hold on a second
that makes no sense to me at all
and things that make us puzzle
they might find totally natural
and so we might end up at a place
where like the explanations
that we're satisfied with
are incompatible, right?
That we're fundamentally
looking for different kinds of answers
if we have different intuitive language about the universe.
And I see this everywhere in physics.
You know, it's not just like shifting wavelengths, but also concepts.
Like you try to explain to your undergrad's, what is a photon anyway?
Oh, it's a particle.
Oh, it's a wave.
What are you really doing there is you're taking something totally alien and unfamiliar
and trying to express it as like a some, you know,
combination of mental eigenvectors.
You're like, use this one plus a little bit of that one.
And, you know, it doesn't really work.
And it doesn't work because it can't be described by those two.
It's not in your mental space at all.
And so that's an example of something which we might never really intuitively understand
because we don't have the language embedded in our minds because of the kinds of perceptions
and the experience we evolved with.
And so that could be a fundamental limitation.
Or it could just be that, you know, our kids grow up and to them it makes sense, but we
never get it or something as the aliens arrive.
So throughout the book, it resonates the Drake equation.
And obviously, Frank Drake was a Titanic contributor to a lot of what we think about when we think about SETI.
Past guest and upcoming guest, Jill Tarter is coming back down.
She'll be in that chair.
She's wonderful.
In a few weeks.
Yeah, she's one of our favorites.
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Talk about that, the Drake equation.
First of all, give a definition for those of the audience that might not be familiar.
And then also talk about, you and I are experimental physicists.
So what are the limitations of it, error, systematic?
Calimeration. Talk about the nitty-gritty details of it, but first give an overview.
Sure. So the Drake equation is sort of deceptively simple. It's an attempt to describe the number
of alien species or civilizations we could come in contact with. And the structure of it is not
like complicated, like, you know, the Schrodinger equation or the Dirac equation. It's just a bunch
of numbers multiplied together. But hidden in that structure is a real wisdom because it tells
you that you have to have lots of things all line up in order to have those, that alien
in communication. He starts with, you know, the number of stars in the universe, which we now
know is huge. And then the fraction of those stars that have planets, which we now know is
significant. And then the fraction of those that have life on them, still totally unknown.
The fraction of those that are intelligent, the fraction of those that develop civilizations
we could communicate with, and then times the length of those civilizations. So it gives you
a sense for, like, how many aliens are out there that we could communicate with. And, you know,
So the multiplication of them tells you, like, if any of those are zero, it doesn't matter
how many planets there are, if none of them have life.
It doesn't matter how much life there is if none of it's intelligent or if none of it is technological.
You have to have everything line up just right to have that glorious moment of alien communication.
And it's super exciting that we live now, like in our lifetimes.
We've gone from having no idea how many planets there are around an average star to having
measurements with uncertainties.
And, you know, those measurements like 30-ish percent plus or minus 10, 20 percent, it's incredible.
Because that number could have been 0.0001.
We could have been the only star out there with planets.
We could be like the aberration.
And now we know we're not that we're very typical in that sense.
And that many, many stars have Earth-like planets.
So that's incredible.
But then the next number, right, what fraction of those have life on them?
We still know that's just at least one over a huge number.
And it could be just one.
Like we could be alone or it could be everywhere.
So, but it's exciting because we're living in an era where, you know, we're imaging extra planets and we're measuring their atmospheres and we're learning about what's in the composition of those atmospheres by seeing the light from those stars pass through the atmosphere.
It's incredible what smart folks are doing.
And so it could be that in the next 10 years, we learn something much more concrete about that next number.
How many planets out there have life happening.
But then again, it could still just be algae.
in the oceans or whatever, slime molds, who knows, that are not going to talk to us.
And there's something else about the equation I love, which is that it tells us essentially
what we're looking for because, yeah, we're curious about whether there are stars out there
and planets out there, but really we want to find someone to connect with.
We want to find an intelligent race to talk to about what it's like to be alive in the universe,
right, to communicate with and get another perspective.
And that's why I chose the Drake equation as the foundation of this book and then extended it
because frankly, I'm not satisfied if we just get to talk to aliens because I want to ask them questions about science.
Like you have questions.
You've devoted your life to questions about cosmology.
Hopefully, aliens have figured out.
So in the event that we meet aliens, I want to meet aliens we can talk to about, talk physics with.
And that's why I added extra terms.
Already highly constrained rigne equation, I was like, no, no, no, I'm going to be pickier.
I want aliens that do science.
I want aliens that we can communicate with.
I want aliens that ask questions.
we're interested in, and aliens who generate answers we can understand.
All those things have to happen for my scientific fantasy to come true,
where we sit down and absorb the incredibly advanced knowledge of the universe.
But the exciting thing is like, it could, right?
It could really happen.
And so, yeah, it's a lot of fun to think about.
But I think the structure of the Drake equation really reinforces how everything has to fall into place.
But you also start from a huge number.
And so in the end, you really just need.
need one, right?
Yeah.
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Yes, exactly.
I do feel, though, that, you know, there is often this kind of obsession with space being big.
Even Carl Sagan had this in the movie, which, by the way, involves a non-fictional version of Jill Tarter up until they detect aliens and contact.
My dream is to get, you know, her co-star, Jodi Foster.
Co-Starty Foster would be great, too,
but Matthew McConnor, hey, he's interstellary,
come on.
This guy's been a great, he's got to be a science geek at some level.
So, yeah, if you get him,
to send him, I know.
Oh, yeah.
Next time I have a beer with Matthew McConaughey
will mention your name, yeah.
It's in there in that movie with Andrurion.
I did have And Drurian on the show,
and she's Carl Sagan's widow,
who co-wrote the book.
Most people don't realize that.
And I said, you know, there's this refrain throughout it.
If there are no aliens, it's an awful waste of space,
which is this teleological,
almost, again,
messianic or, you know, quasi-theological argument that there's some purpose to the universe,
which, you know, I believe there is, but who knows? I'm not speaking to scientific. I have no
evidence for that. But, but in general, you know, I make the argument that, you know, I've been to
Antarctica twice. Here is some ice water, you know, no longer in the ice water, icy form phase,
but this is actually collected at the South Pole Antarctica. There's some floaties in there, Brian.
What are those? Yeah, those are alien. Those are clean, um,
clinging to the bottom there.
So, you know, Antarctica, when I was there,
I think I was the fattest person on the continent.
I was like the most out of shape.
There are people there that run marathons.
A guy won the Boston Marathon 10 years ago.
Yeah, like, I'm like the least in-shaped person there.
I mean, there's some real studs instead of that stuff.
So I'm like on that continent because, you know,
I can be like a superlimate.
I can be, you know, maybe I have the best physics knowledge of anyone,
although there's a lot of smart physicists at the South Pole.
But you get the point.
The South Pole is almost devoid of people, right?
It's this huge content.
It makes up one seventh of all continents.
It makes up, I think, 5% or 7% of the landmass of the entire planet.
So if you said, look, Daniel, we know the planet's teeming with life.
It's even teeming with technological conscious visit.
There's literally a million physicists on this planet.
What do you think the percentage of them that live in Antarctica is?
And it'll be like 0.0.0.
Just having space is not enough, right?
I've never thought that was a good argument.
My friend and probably yours also fellow Norton author, Adam Franklin.
Frank erote, you know, basically there's 10 to the 24th, you know, stars and planets in the observable universe.
I'm like, well, I don't really care about a planet that existed, you know, 12 billion years ago in a galaxy that's, you know, 40 billion light years away now.
You know, so what's relevant is the space that's occupied in our galaxy.
And it sounds like you might resonate with this, too, that, yes, the odds of life might be extremely high, but there's no evidence for it, right?
So we have no evidence.
So right now necessarily must be faith-based.
And that's when people try them in.
Well, what about the eyewitness evidence?
So you kind of get in this loop.
And I wonder if there's a Drake equation for that.
Like, you know, for the, yes, the types of, you know, kind of communicates your wish list,
your teleology is different, you know, than maybe the audience.
But you make that case in the book that, okay, so let's say they do all those things.
Yeah.
Daniel's, you know, Christmas wish list has been satisfied.
They're buying your book.
They're communicating, whatever.
But they actually see neutrinos or gravity waves or gravitational.
You talk about that in the book.
Doesn't that narrow the phase space to basically zero?
I mean, like, the fine-tuning problem in cosmology is really hard.
But, you know, if you have to tune not only the electromagnetic wave spectrum, the neutrino
spectrum, the gravitational wave spectrum, it's basically hopeless.
Is it not?
Well, there's a lot that has to go right, you know, for this to work out.
But even if it doesn't work out, even if they show up and they do physics in some mind-boggling
the way that makes no sense to us, then we still learn something.
Like in one scenario, in Daniel's Christmas scenario, we learn about the universe because it turns out that the way we're, the things we've learned about the universe are universal and we can share knowledge and build together.
But in the other scenario, we learn that the human lens we've used to view the universe has contributed to our understanding or distorted it somehow.
That part of our theories of physics are not just the universe.
They're our experience of it and our way of thinking about it.
And in a scenario where aliens show up and they aren't perfectly aligned with it.
us, then we learn about that human lens, right?
And I always got into physics because it was universal.
And I thought I was asking these big questions.
Though, you know, personally, honestly, as time goes on, I feel a little bit like, hmm,
that's cool, but it's also impersonal.
Like, nothing I do can help anybody.
It's not relevant to life on Earth.
But as I was writing this book, I was feeling like, you know what?
It would be actually kind of cool if aliens show up and they don't do physics the way we do
because then we'll learn about humanity.
And it turns out that our physics
is telling us something about the human experience
and the human mind and what it's like to be human
and alive in this universe,
not just deep questions about the universe.
So I think it's a win either way.
You know, if the aliens show up and we get to learn about the universe,
amazing.
If the aliens show up and we realize
that we've been making some assumptions
and looking at things too narrowly
and they blow our minds and we realize,
oh my gosh, there's another way to do math
or another way to do science
or they've gone well beyond our, you know, our process of science that they think is super primitive or something,
then we'll learn something about humanity.
And I think that would be maybe even a greater revelation about, you know, what it's like to be alive in the universe.
So I'm looking forward to aliens arriving either way.
So one, you know, kind of semi-alien technology that's with us right now is artificial intelligence.
Yeah.
You talk a little bit about it in the book as well.
You know, curious, we can talk, you know, shop and, you know, they say when, when amateur artists,
get together, they talk, you know, about impressionism
versus cubism versus the
this and that. And when professional artists get together,
they talk about where to get cheap turpentine
and, you know, horsehair bristles.
And so we can talk, you know, over lunch
maybe a little bit more technically.
But how are you using AI,
both in your physics research
and machine learning? You're one of the
early pioneers, you know, in my social
network, so to speak, 10, 15
years ago, using advanced machine learning
time, Kruda. But,
and this is another one of those things that is
sort of the magic of the square root because, you know,
99% of the advanced mathematical operations in machine learning,
or at least in LLMs, is diagonalizing matrices.
And you do U, you know, L decomposition as well as anybody.
And so it's basically taking square roots of matrices, right?
So there's another instantiation of the square root.
But tell me, how are you using AI in both research and teaching and writing and podcasting?
Oh, yeah.
Well, I have been doing AI in particle physics since well before it was cool.
That's true.
The GPT negative 7.
No, no.
No, I use more machine learning than LLMs.
We have vast quantities of data, and a big challenge in analyzing it is knowing how to reduce the dimensionality of that data.
You measure 100 million things about a particle collision, but it really can be projected down to like a one-dimensional surface and a huge,
the high dimensional space where all the useful information lies.
And that can be challenging.
Physicists can approximate that.
We use our intuition, our knowledge.
They're like, oh, I think I know how to do that.
And we've done it effectively for years.
But it turns out not optimally.
And so mostly my machine learning work is like, well, let's figure out how to optimize that.
And extract that another 10%, another 20% out of our data.
But more recently, it's been a little bit more transformative.
Machine learning has also taken problems that were once intractable.
that we'd basically given up on.
Not where we've found an approximate solution
that can be optimized, but we were like, yeah,
nobody's ever going to do that.
And now with machine learning, we can tackle some of those problems.
I'll talk about that in my lecture today,
about finding kinds of things that we were blind to before,
and now because of the power of machine learning,
we can probably see these things.
And so it's a great tool.
It's a great assistant to analyzing our data,
to looking for new stuff.
Incredibly powerful.
For me, it's a lot of fun because it's essentially
applied statistics.
And you know that if you work in these huge collaborations,
you're not a jack-of-all-trades where you're like build the accelerator and the detector
and operated and analyze it and write the papers and do the statistics, you're a specialist.
And so my role is like the machine learning, the statistics, the data analysis.
I think that kind of stuff is super fun.
That's my flavor of nerd.
And so machine learning is wonderful because it's basically applied statistics.
And I'm all into that.
In terms of chat GPT and writing and stuff, I'm a big proponent of not doing any of that.
I think that writing is thinking.
I'm sorry, Chaddy.
Sorry that he said that, honey.
I'll get out as soon as we can.
And that it's really important to develop your own voice
and to learn to write effectively.
So much of my job is writing.
Even if I wasn't writing books and podcasting,
it's grant proposals, it's papers, it's emails,
it's lectures, it's all about expressing yourself.
And it's so important to learn to do that
and to develop your own voice, to be able to write
in a compelling way and clearly,
and to know when writing is good.
So right now I'm teaching a class.
It's scientific writing for undergrads.
How do you analyze data?
How do you tell a story about it?
And I feel like if we just outsource that to Chad Cheapy-T,
then number one, everybody's going to be writing the same,
very bland, boring to read kind of text.
Nobody's going to develop a voice,
and people are going to lose the ability to do the magic of science,
which is like to take a bunch of data and tell a story about it.
That's the scientific process.
We're always telling stories.
And if you lose the ability to tell those stories or you lose interest in reading them,
then I don't know that you're really doing the science anymore.
So I'm kind of a love.
Just a pushback with requisite, love and respect.
I mean, some people made similar arguments about the word process or some made similar arguments about the typewriter.
You know, just you're taking the person out of it.
You're taking the humanity out of it.
It's going to lose its soul.
But the typewriter just take the human out of the equation.
Well, it's still writing all the words.
You know, you go back to the original writing, you know, it was cave painting.
And, you know, then you go back to, you know, telling stories.
on scrolls, on parchment, then the codex, then, you know.
So, I mean, there is mechanization that things that made things easier, a spell check.
I mean, there's another one, auto-complete, things that we take.
Big fan of spell check.
Yeah, me too.
That's right.
And, of course, there's always some attendant, you know, emissions.
You know, you refine petroleum to make fuel.
You have unwanted emissions, and we, you know, kind of distill our social network into, you know,
for-profit algorithms.
we get unwanted rage and all sorts of other things.
So there's a lot of unwanted effects, I'm sure.
Even just speaking physically,
the use of AILM to do a search
is like nine times more energy intensive
than to do just a simple Google search.
But, you know, I don't think we're going back
to not doing any kind of search.
Obviously, looking it up in the library
is going to cost something,
but maybe not as much as a Google search.
So where does it?
I mean, what you say,
so it sounds like you're not, you know,
personally using it,
But, like, I do feel like with my students, I encourage them to use it.
For example, as a, you know, as an always on-demand teaching, I think I'm a good teacher.
But, you know, if they had Einstein, you know, available to them to ask questions about relativity and it was fully embodied AI, robotic AI.
I'm not sure he's going to do better than me.
You know, maybe not as good as the best teachers.
But I do feel like there's a huge opportunity.
And I did a panel last night with a bunch of undergraduates here at UCSD along with Adam Bergaster.
Ethan Nalor here at UCSD,
and I asked the students,
like, what are your professors
allowing you to do with AI?
I also ask this to my friends
at Princeton on Tuesday.
And they're like,
we don't let them use it.
I'm like, that's crazy to me.
I mean, to me, it's like not letting them use a computer
or use Python or whatever was
10 years ago.
I mean, this is their new reality.
So how do you let them, or what,
knowing that you want to keep the kind of
soul and the, of the writer and stuff like that,
which I can agree with,
how do you encourage them to use it and actually apply it?
Well, I tell them
to be very skeptical.
You know, I treat chat chit
the way I treat a potential collaborator.
Somebody comes to my office
and we're talking physics
and they say something that I know
is totally wrong
and they're very confident about it.
And I'm like,
I don't think that's true.
A CMS guy.
You know, then I'm like,
I'm not sure I'm going to ask this guy
another question or if somebody BSs me
confidently several times,
I'm like, your information is worthless
because I have to check it every single time.
I can no longer believe you.
So I know people like that in physics.
And they just like sort of off my list of people I'm interested in talking to or authors like that.
I'm like, I'm not reading that because you have to look up everything.
I don't believe you.
And so chatypD is in that category because I've asked it questions about stuff I know anything about.
And I'm not impressed with what it says.
And so I can't trust it on anything I don't know anything about.
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The same is true for a learner.
They go to chat Chappi with a question,
how do I do this mouth, how do I factor this polynomial,
how do I do this?
And they have no confidence that they're going to get
the correct instructions or correct answer.
This is the worst AI is going to be.
Right? I mean, right now is the worst that's going to be, and it's revolving rapidly.
I think there's actually an underlying issue that nobody's really considered, which is that I don't think LLMs are the pathway either to AGI or, you know, superintelligence or even to doing useful things in physics because they're basically trained on language, which is great.
And physics is a language and aliens speak it, you know, as a best-selling author, Professor and all-around genius Daniel Whiteson asserts.
But who's to say that, you know, I mean, we tried with.
with one of my brilliant undergraduates of M. Watson here,
I tried to just give it Mercury's data
from its perihelian advance
from the last thousands of years from JPL Horizons,
and then say, like, can you come up with remont tensor?
Can you come up with Curve Space Time as a description?
It couldn't do it.
We had to add in, like, a grid coordinate system
and make it into a GPU-like thing
the way Elms and GPUs were designed to make you better at Minecraft
or at, you know, kind of beating your friend in GTAE6.
Yeah, maybe it's just, it's bad now,
But it sounds like you're kind of writing them off,
like the crazy uncle, you don't talk to about Thanksgiving.
Like, how can they get back potentially into your good graces,
these collaborators that are unreliable?
Well, you know, like my crazy uncle, you know,
the doors open and, you know, write out family.
There could be a moment when they achieve something,
and then they're impressive and they can contribute.
And I'm not saying that's impossible,
but certainly they're not there now.
But if we don't train students now,
are they going to be kind of forsworn off in the future?
Like, is it going to be, I'm not saying,
doing a disservice, but just for the sake of the argument.
Sure.
Is it kind of like handicapped, compared to, you know, Brian Keating's, wonderful students who
use it every day, you know, in class, I'll say, here's a spectrum of hydrogen, you know,
tell me what the, what the lamb shift is or tell me, you know, here's the, and like, I don't
expect them to know, you know, relativistic quantum mechanics as a, you know, junior, but
they can kind of glean inside.
Well, there's a systematic error there because of projection effects or thermal effect
that they wouldn't have thought of.
So are they, you know, do you worry that, like, not training your kids or your students,
We're kind of like our kids in some guys in a beneficent platonic way.
But how is it possible that we can, you know, train them for the future that's going to exist
and we don't even know what's going to look like.
Yeah, no, I think students should experiment with it and play with it,
but they should understand what it can and can't do.
And I also think there's real value in teaching students to do the work that chat chabit,
even if it became exceptional, still does.
Like, why do we teach students do integrals?
Why do we teach calculus in high school?
Like, mathematical basically solve that problem.
You throw any integral in mathematics.
it's done. Why should we teach anybody how to do integrals? It's because we're training them how to think,
and we're hoping that they go on and surpass us. And we don't want humans to lose that capability,
in my opinion. Sure. And so there's lots of things that are sort of solved problems that we still
ask students to do, and I think it's important and valuable for them to do that as a way of training them
and teaching them these critical thinking skills. We're always telling physics undergrads,
you can do a physics major and then do anything. And that's because we've taught
them these tools of thought, these tools of analysis, these ways to think about problems
that let them go off and then eventually become, you know, podcasters and cosmologists and all
sorts of things. And so I think we do them a disservice.
We don't teach them. That's my racket. We got to corner the market. We do them a disservice
if we don't teach them those fundamentals of thought. We just like throw the LLM at them.
But you're right. They need to be aware of it and know how to navigate it and use it.
You know, absolutely they need to be familiar with it. But I wouldn't rely on it as a
teaching tool. Sure. I mean, it hallucinates and a sycophanty, which I love. I mean, I bring on the
sycophanty for the brilliant Professor Keating. Make it call me, you know, hair professor,
senior Keating. You know, I asked it like, what books is Brian Keating? You know, we used to go,
I used to Google myself. I'm not going to say if you did or not, but I used to Google my, you know,
what's going out of Brian Keating? And now I, you know, chat GPT myself. And it comes up with,
you know, what books is Brian Keating written? Well, it's written, he's written, losing the Nobel
Prize. He's written Into the Impossible and Galileo's Dialogue.
And do you have a Grochapedia entry?
I do.
Congratulations.
It's 20 pages long.
But then it says, you know, after Into the Impossible,
focused like a Nobel Prize winner,
now available, as you know, on Amazon.
We'll put the ad in for that here, by the way.
It says, a brief history of time.
And I'm like, yeah, that would be nice to have, you know,
1% of those book sales, but unfortunately, I don't know.
So there's rumors that there'll be an AI data center in space
in the coming years, which made me think of,
well, let's say one of those goes rogue and we have, you know,
how 9,000 up there, and it just now decides it's going to blast its way through the wormhole
around Proximus and Turi B and check that out.
So it's going to be an alien artificial intelligence.
Maybe in a physical embodiment, a data center, you know, a muamua flying through space with a
with a bunch of Nvidia hoppers on it.
But maybe it's just the pure AI, you know, coursing through the space.
And maybe that's the alien that we come into contact.
Well, what do you suspect?
I mean, it's certainly cheaper than sending meat chunks around the galaxy, right?
So what are the odds that the aliens that we encounter will be artificial intelligence, pure code?
Yeah, it's certainly possible.
And it's tempting to imagine that that's inevitable because it seems the direction of our civilization.
But I also think that that's short-sighted, that we're always, you know, taking whatever we developed in the last 10 years and imagining that that dominates the universe.
Much more likely there's something even more mind-blowing that in a million years a civilization develops in a way that would be like hard for us to even think about.
But like, imagine explaining AI to Isaac Newton.
Right?
Like, great.
What words you, would you, even do that?
So we're so primitive, I think, compared to those other civilizations.
But like AI data centers in space never really made sense to me because everything is
harder in space.
You know, building it, repairing it, cooling it, everything is harder in space.
To me, AI data centers in space only makes sense for AI in space and built in space.
So if you have like a space industry and you have power needs in space, sure.
but for use on earth and like built on earth and launch to space,
that doesn't make any sense to me.
I don't see how the numbers are out.
I mean, I think they're saying things like power requirements
and because latency is not such a big deal,
I mean, I wait, you know, 10 minutes for a query to come up,
you know, like, what is Brian Keaton written in addition to brief history of tone?
You know, soon we're going to take you up to the faculty club
to fetch you as you deserve with an all-you-can-eat-sallad buffet.
But before we do, I do want to talk about a little breadcrumb
for the audience to stay tuned to the channel because we're going to have a technical talk,
but as Daniel is almost unparalleled at doing,
his way of explaining it even to fellow physicists in a way that cosmologists,
a simple experimental cosmologists can understand.
So that'll be a talk.
I'm going to preview that in just a minute.
But before I do, I mentioned losing the Nobel Prize.
The Nobel Prize figures very prominently in this book, also published by Norton,
which was publisher of my first book.
And the Nobel Prize is sort of seen as this talisman, as this handker.
that, you know, aliens can help you win.
Maybe I think I'm permanently off the list
after my first way.
But we have invented, not the Nobel Prize,
but the Keating Prize.
Oh, look at that.
This is a Keating Prize for Impossible Wisdom.
Wow.
In this, let me see.
What's this here?
There we go.
So the Keating Prize is hereby presented
for Impossible Imagination,
featuring a picture of Arthur C. Clark, a monolith.
And it is presented to Professor Daniel Whiteson.
October 31st, Halloween.
Here you go, down.
Oh, my God.
Thank you so much for coming down.
I should have worn my tuxedo.
I wasn't prepared.
He should have brought the book.
That's all I wanted you to do, Daniel.
You had one job, literally.
Okay.
Let's talk about the talk talk we're going to talk about later on today.
So this is a very interesting, you know, kind of a topic that seems to suggest that even classical
electromagnetism, you know, we talk about quantum mechanics, but even some aspects of the application
of electromagnetism to particle detectors may be wrong or may involve new things.
I don't know.
if quirk was meant to be a particle
or it might be meant to be a quirk.
So tell us, what is the topic?
First, at a lay level,
and obviously people stay tuned
through the technical talk later on,
which we'll have on the same channel
in a separate episode.
But tell us, yeah, what is a quirk?
What are these different features
that physicists might be getting wrong?
And first, begin with,
how do normal particle accelerators work?
Yeah.
So this talk is about
an example of what I mentioned earlier
where machine learning can help us
do things that were impossible before.
And so the way we
particles currently as we smash the particles together and then they fly out and they pass
through layers of detectors that leave little hits that say a particle went through it, a particle
went through it. So we don't see full paths of particles, we see these little traces that they
leave. And then we're left with the commentatorical problem of like, well, I have 10,000 traces,
probably due to 1,000 particles. How do I know which was which? How do I reconstruct the particle
paths from the traces that were left? And that's a very hard problem because there's lots of
possible assignments. This one, that one, the other one, it's something. It's a
like, you know, 10,000 choose a thousand is a big number.
Trying them all is impossible.
And so we have tricks.
And a lot of the tricks we've used help us solve the problem more quickly, but also blind us
to possible solutions.
So one trick is, for example, to assume that the particles are all charged electromagneticly,
like either they're neutral, in which case they're invisible anyway, or they have positive
or negative charge, in which case they move like a helix in our magnetic field.
And so you can say, well, I'm just going to look for helices.
Cool, because most particles are helical in their,
trajectory. That really simplifies the problem, makes it tractable. We can process all the data at the
Large Hadron Collider. But what if there's a particle that doesn't just have electromagnetic charge,
it has some new weird charge, some dark matter charge, and it moves through the detector in a
weird path that's not helical. Our algorithms would not find it. They would skip right over it.
And amazingly, like, your algorithm would find it. If I printed out that event and showed it to you,
you'd be like, oh, I see that. Because your brain is really good at finding tracks. And it used to
to be that we used humans to do this.
Back when we didn't take a lot of data
and the signals were obvious and you just put them
in front of ladies. The computers were women.
Yes.
Literally. Exactly.
Yes. Humans doing this.
And now we can't afford to do that because we take
data every 25 nanoseconds and it's just
too much. So we developed
an algorithm to find
particles that don't move as a helix
using machine learning.
And one example of that is the quirk,
which is a great example of
physicists taking an English word
that means something else and just giving it a meaning in physics, which is terrible, you know,
like work, right, or color or flavor, all these things.
Beauty charm.
Yes, exactly.
But a quirk is a particle that has a new kind of charge on it.
And if you produce them in pairs and the colliders that don't move into helix, they oscillate
with really strange trajectories.
So it's just one example of a non-heulical path.
And so in the talk today, I'll talk about how we found an algorithm that can find
to quirks.
And then how we generalized it to develop an algorithm that can find any smooth path at all,
even if it's unexpected, unanticipated, unpredicted, for which there's no simple explanation.
Because that's my dream, is to run this thing on real data and have a shocking surprise and be like,
what is this thing in our data that nobody had ever seen before because our algorithms were blind to it?
And it could be like a single particle, you know, one particle, one Nobel Prize.
That's the classic ratio, you know, the positron of very.
example. The Higgs boson, when we discovered that, it took like billions and billions of collisions
to get a few examples. But there could be obvious, no background, single event discoveries
waiting for us in the data if already exists. That already exists. They're sitting in the data right now.
That if we only knew which event to look at, we could print it out today and look at it right here
live on camera and make a discovery. But we don't have the algorithms or didn't until now have the
algorithms to find those things. So that's what I'll be talking about. Are you also involved in the
technical sense, looking for, you know, conserve quantum, is there something analogous to
lepton number? Would there be a new quantum number associated with the quirk?
Perhaps, yeah. Or, you know, if we find something even weirder, my goal is not to find something
that makes sense, is to find something that doesn't make sense. I want to find something
that I take it to our theory colleagues and they go, no, they can't be, we prove that can't be part
of the universe. I'm like, well, but the universe says it is, so what are you going to do with it? You know,
So that's the fantasy where it's a struggle to incorporate it.
Because you and I both know that our theory of physics is incomplete, fundamentally so.
There's a foundation of the layer we have not cracked.
And we don't know where is going to be the clue that cracks that.
Is it going to be people working on string theory?
Is it going to be people, you know, looking into the stars?
Or is it some new particle we produce at the colliders that when we tug on that string,
everything unravels and reveals the truth?
You don't know.
So, but, you know, swing for a home run.
That's my place.
Right.
Well, I'm feared for your safety now because people are trying to, you know, build bigger and better colliders.
The future circular collider, the largest linear colliders, the collider on the moon and all sorts of other things.
And now they won't eat it with the Whiteson algorithm.
They'll just go back to the archival data.
And it seems like you could apply to any data, right?
It could be from the Tevatron.
It could be in it.
So that's amazing.
So that would obviate, you know, the pork barrel spending with, luckily, you know, for your safety, there's not a huge danger of somebody spending a lot of billions of dollars in this.
climate. I'm a big fan of spending money on big science projects. You know, people say you don't need
the next collider. Your thoughts on the next collider. I say, you don't know. And I think it's a
mistake to say, is it the next collider or this other project? I said, let's build them both, right? It's
not an either-or science and economics are not zero-sum, right? Well, how do you react to, you know,
our mutual friends, Sabina Hasenfelder is a bit very critical of plans to build things whose purpose
is not exactly as well as maybe motivated as the Higgs was even,
which, you know, took ASTE few years before it's discovered.
What do you say to critics that, you know,
you shouldn't spend money on something in the case that you might find it?
And there are a lot of projects that do that, including my projects.
I think exploration is valuable.
I don't think you need to know what you're going to find before you look.
We don't go to Mars just to look for, like, cats and dogs.
We go to Mars to find something shocking, something surprising.
And we hope that our tools have the capacity to discover surprises.
You know, that when we go and land the Europa Clipper,
it's going to find something super duper weird.
So I'm a big fan of research as exploration
and not making promises in advance
about what we're going to find
because you never know.
And that's the joy and the frustration of research, right?
What do I say to critics?
I say that these things are valuable,
that research spending always returns
in terms of, like, you know,
aesthetic benefits of understanding of the universe,
economic benefits of the technologies
and the transformational ideas.
educational, cultural benefits,
every dollar we spend on this stuff
is worthwhile.
It turns more than a dollar.
Yeah.
And I think that people can reasonably disagree
about how to spend limited research budgets,
and that's fine.
And other people welcome to have ideas
and think that our ideas are silly,
and that's fine, but we have a process for that.
We get together, we review them.
And I think that that process is flawed
because we're human, but it's done in good faith.
And I think that's where I disagree
with some of your friends.
And I still think most people out there
are curious scientists doing their best to understand the universe
and operating in good faith,
even if they don't agree with some folks
about what the best way is to uncover the secrets of the universe.
Oh, I pointed out to my good friend
and UC Riverside Professor Barry Barris
that he would not have won a Nobel Prize
had the Superconducting Super Collider not been canceled
because he was working on that.
And maybe he would have stayed with it,
but because it got canceled,
he was able to work for LIGO.
And because he worked for LIGO and led LIGO,
he helped LIGO achieve a Nobel Prize
for not just himself, but Kip and the team and Ray Weiss, the late, great Ray Weiss.
So I think that, you know, you have to kind of always be on guard, as I say in my first book.
You know, serendipity is hard to plan on.
But this is a delightful book.
Can't wait for your lecture.
We'll broadcast a lecture on the channel at a later time.
We'll want to get the episode out about do aliens speak physics with the very terrestrial, very always illuminating.
And, you know, it's rare that there's so many people that do, you know, theory and theories,
I always say experiment is expensive.
Theory is kind of like software.
You can make much of it if you want.
It's not AI slot, but you can make a lot of,
hard to make a lot of experiments, as we know, right?
Daniel Weitzin, UC Irvine, thank you for this wonderful book.
People check you out on Twitter, on the podcast.
Daniel and Kelly, explain the universe.
Extraordinary universe.
It was Horacea, yeah, you know, primacy of learning.
And of course, do aliens speak physics?
Thank you so much for coming down.
Thanks very much for the fun conversation.
All right, let's go get some faculty club, lasagna.
Or whatever they have today.
Thank you, Daniel.
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