Technology, Connected - What Is Curiosity in the Age of AI?
Episode Date: June 15, 2025Katia Moskvitch is a science journalist and physicist, she has written about neutron stars, quantum computers, and the human stories behind them. But this episode isn’t about data or discovery. It�...�s about curiosity.From BBC newsrooms to remote observatories in Nepal and Argentina, Katia has seen what curiosity costs and why it’s still worth paying for. She speaks about the scientists who never found dark matter but searched anyway. About the women whose names were erased from Nobel history. And about the growing pressure to turn mystery into content.This conversation is a defense of slow understanding, of staying confused long enough for something real to emerge.Because if we stop being confused, we stop being curious. And if we stop being curious, we stop being human.Please enjoy the show. And share with a curious friend. Thanks, Mark & Jeremy--LinksKatia: https://www.quantamagazine.org/authors/katiamoskvitch/Neutron Stars: The Quest for the Zombies of The Cosmos: https://www.amazon.com/Neutron-Stars-Understand-Zombies-Cosmos/dp/0674919351Follow Thinking On PaperThinking On Paper: www.thinkingonpaper.xyzInstagram: https://www.instagram.com/thinkingonpaperpodcast/--Former Guests:IBM, D-Wave, Kevin Kelly, Don Norman, Coinbase, Starcloud, David Bianchi, IONQ--Chapters(00:09) Why Curiosity Still Matters in Science Communication (01:52) What Makes a Great Science Journalist (04:56) Katia’s Journey from BBC to Nature to Wired (09:20) Reporting Science from the Field (and Under Solar Panels) (11:26) When Awards Don’t Mean Understanding (14:42) Quantum Computing Without the Hype (17:31) What Most People Misunderstand About Qubits (21:21) The Women Erased from Scientific Discovery (22:23) Neutron Stars: Why One Spoon Weighs More Than Earth (26:33) Jocelyn Bell Burnell and the Pulsar That Changed Everything (30:28) Astrophysics, Gender, and the Fight for Recognition (32:09) Quantum Weirdness and the Future of Technology (40:13) Space, AI, and What Comes After Us
Transcript
Discussion (0)
Disruptors and curious minds.
Welcome to another episode of Thinking on Paper.
My name's Jeremy.
This is Mark.
We unpack the future with the people that are building it today.
Mark, what are we talking about?
What are we getting into?
Oh, and tell Jeremy, I bought a spoon to toys.
Oh, goodness.
So a teaspoon or a coffee spoon.
I bought a spoon because one of my very first memories of space was this analogy for neutron stars
that if you could somehow scoop up a spoon for.
of neutron star. It would weigh as much as the earth or something absurd like that. And ever
since I first heard that, it's always been at the back of my brain's going, wow, that's just
so nuts. Maybe the first time my brain malfunctioned, trying to understand the grandiose nature
of nature. Shouldn't we be more open to seek that malfunction? Like I think a lot of times
we're scared of that malfunction and we think by that event occurring, we're not doing something
right, but I say we got to do more malfunctioning to get deeper understanding.
But that's a sidebar, Mark.
Neutron stars.
Why did you bring up neutrons?
I brought up neutral stars because I guest today is Katia Moscovich.
She is a technology writer, a journalist.
She is European science journalist of the year for the year in 2019 when she was business editor
at Wired magazine.
She has just finished working for the World Economic Forum as an ambassador on quantum.
She was the Quantum Ambassador IBM.
She's written for the BBC.
She is the perfect guest for thinking on paper.
Today, it's a story about chasing your curiosity.
Welcome to the show, Katia Moskiewicz.
It's a pleasure to have you.
Thank you for thinking on paper with us.
Thank you so much.
Pleasure to be here.
Hi.
I didn't mention that Katia also wrote the book,
the book, I think, on neutron stars,
the quest to understand the zombies of the cosmos.
Yeah, neutron star matter is...
Neutral stars are very dense.
They are the densest objects that we know of before black holes.
So the densest objects made of matter, actually.
So indeed, if you could scoop up a teaspoon of neutron-style meta,
it will pull you down with like, I don't know, 10 million tons or such leg.
But it's very, very heavy.
Well, Mark has a bad shoulder too.
So that would be a bad thing.
Just in general, the spoon probably did it.
But Katia, what really...
My left hand.
Katia, your background, I've seen you referenced with two words.
word science communicator. And I think that's a very important grouping of words because the depth of
science is way beyond what a lot of individuals dedicate time to understand. And you got to have people
that are great communicators to turn really complex thoughts and ideas and theories and maths into
something people can understand. What makes a good science communicator? Oh, that's a great question,
Jeremy. I mean, for me personally, and yeah, I don't want to speak for everyone, but there are
science articles out there that you read them and you're like, I'm not sure that was written by somebody who actually understands what they're writing about. And for me, that was always a big deal. I always wanted to understand exactly what I was writing about to be able to communicate it to others. And as a science journalist, well, I started my career at the BBC and that's, of course, you're writing for everyone and anyone out there. It could be children reading you. It could be lawyers.
reading you, it doesn't matter education. And so you have to be able to explain it in a very
high-level terms, but super accurate as well. So it depends on the reputation of you as a science
reporter, science communicator, and a reputation of the outlet that you're working for. And for me,
it was always very important. And still, after my kind of BBC, several years at the BBC, I decided to
go freelance and really go deep into reporting on physics and astronomy, specifically. That's something
I've been drawn to all my life. I actually wanted to be an astronaut at some point as a kid.
That didn't happen. But, you know, I thought if I can't go to space, I will write about space, at least.
And so I was writing more and more about science and astronomy and more complex, actually, features for quantum magazine and very sciencey outlets.
And writing those stories made me kind of pose and think, okay, am I actually fully understanding what I am telling my readers?
And I caught myself thinking, actually, no, I'm not fully understanding what I'm writing.
here and that's not okay. So kind of mid-career, I decided to get a physics degree. I already had
some background because I had engineering bachelor's degree, which helped, but not fully.
What discipline of engineering?
Mechanical engineering, and I focused on aerospace as well. So that was, again, my love of space.
But after that, I did a master's in journalism. I knew that I wouldn't be an engineer. So I went straight
into journalism. And actually, there was a really great career advice given to me by Canadian
and journalism school faculty director who said,
finish your engineering degree first,
because it will really serve you well as a journalist afterwards.
And that was brilliant,
because then I was able to write about science and tech,
but not so deeply about physics.
So I decided to go and get a physics degree,
exactly for that reason,
because I thought that, you know,
being a science communicator,
you really have to know in-depth
what it is you're writing about.
So that helped me immensely.
And I wish there,
I know that good science writers,
communicators, they do understand science.
And that's very important.
Jeremy, you need to go back to school and do a physics degree.
Thinking on paper will pay for your involvement fee.
Oh.
I agree with you at the beginning when you said that a lot of people don't necessarily
understand what they're writing about.
And I think, AI, that's really going to get worse.
If I don't understand as a reader,
then they obviously haven't embraced the Feynman concept
of explaining it to a five-year-old.
And I don't think we should be explaining things
as if you're five.
I think that's under values and adults' intelligence.
But I think we should be explaining things clearly, accurately.
What did you learn, specifically at the BBC,
about how you write, how you think about,
how you research and how you draft a particular article?
Well, at the BBC, actually,
the concept of explaining to a five-year-old really stands
because you really have to be able to explain to a five-year-old.
And I think that's brilliant.
I mean, we would always use what we call the pub test.
So if you go into a pub and you're able to get your friend interested in what it is you're writing about, then you're fine.
You know, other people use grandma, grandma test, right?
If your grandma is able to follow your reasoning, then you're fine.
But I think five-year-old is even better.
I have an eight-year-old kid and he is super into science and I'm glad that he is.
But if I'm able to explain it to him and also his friends who are not maybe necessarily into science, then I think everybody will understand what I'm writing.
I think there's something there too that's really important that I think you hinted on that it's helpful to be inspiring without forcing it.
Mark mentioned Feynman, you know, Carl Sagan is another one that just inspired a sense of wonder as he wrote as he explained things.
And that to me, like great writers, great science communicators can inspire a bit of a sense of wonder but also take you down these further rabbit holes of discovery, right?
They make you want to know more.
A bad right or mate.
will put off the reader and the reader will go out,
but yeah, a good one will almost force the reader to want to keep going further.
Yeah, absolutely.
I think that's super important.
That's why I went into feature journalism too,
because when you write news articles,
I think it's much harder because you're just covering what's in the moment.
You can still do a really good job
and you can still interest your readers to pursue science career.
But I think once you start connecting the dots,
connecting, you know, different things that are seemingly unrelated into one story,
so you actually keep the reader engaged to the end.
And if you can take them places, you don't necessarily have to travel there,
but if you can describe what it is in that particular amazing location
and what those people do and how they think,
and you really get into researches' minds and describe people as people.
And science is not just, it's more than just discoveries.
I think it's very much about human nature as well.
And for me personally, one of the reasons I really like talking to different scientists
This is because it doesn't matter where you are, you can be in the developing world or in the most developed country on Earth.
The most important thing, the most interesting thing is the people who are making those discoveries.
And I remember one time I was working, I had one year working on a fellowship at Nature, a Nature magazine in London.
And the fellowship actually involved traveling to developing world countries, specifically seeking out those stories that are underreported.
And that was the most amazing experience because I remember I was in Nepal and Kathmandu talking to researchers who don't even have electricity all day long.
They literally have solar panels on the Kathmandu University roof so that they can have internet intermittently, not all the time.
It was crazy and they're writing amazing papers, publishing in nature and so on.
And yeah, for me, that was kind of the most important part.
And that's how you can inspire other people as well.
As an aside, where else did you visit when you were doing the fellowship?
So I did three big stories.
So one was that.
Nepal, which also was ICTP Center of Therapeutical Physics in Trieste.
And that particular story was all about an anniversary that they were having.
So it was not super interesting in that sense, but it was just super interesting locations and people.
Another story that was very, very interesting was in Argentina.
And so that was all about Cosme Gray's Observatory, Pierre Roje, in Mendoza.
the province. That's probably my favorite one from that time because basically they were thinking
whether to close it down or not. The observatory had existed for like 50 years and I contributed
enormously to the development of the region in terms of infrastructure development. Schools were built,
even university and jobs of course created and so on. And they were trying to catch this,
still trying to catch this super, highly energetic cosmic race. And that was about 10 years ago.
So they weren't catching any at the times. It was the real threat.
of closure if they wouldn't get more funding.
So that was a story that involved traveling to Buenos Aires,
speaking to a whole bunch of researchers and politicians and students,
and then taking a bus to overnight bus to Mendoza.
And from Mendoza talking to farmers, how this array was built,
why it was built, farmers who didn't understand why suddenly on their farmland
they would have these buckets of water trying to catch some weird particles.
I was talking to one farmer who was saying,
like, yeah, I mean, I don't mind because I think at least it controls the rain.
So I think they were really clueless of what it was doing.
But, you know, still, the research, I think, is super important.
And visiting that those locations in Argentina was really eye-opening as well.
Cosmic rays in the rain.
Listen, are we going to get into Ligo and gravitational waves?
And I think we're going to turn into StarTalk, Jeremy.
We're going to talk about neutron stars.
But before that, so you won European Science.
journalist of the year in 2009. What did that change for you? That particular award, so I won two
awards actually that year and they were for two specific stories and both stories are really important to me.
So one was British science journalist of the year, same year and then European science journalist
of the year. One of the stories was on dark matter and how people are trying to, have been trying
for decades to find dark matter and just cannot find it, but still putting their entire careers
to discover this elusive, you know, these elusive particles.
And when lack of results is actually still important,
because you keep constraining your results more and more,
and so you know where to look.
And yeah, so that story was super, super interesting to write.
And the actual concept of persevering in science for years and decades
of your entire career, it's just, I don't know,
it seems, especially now when everybody wants to get everything right away
and with AI you can get a result straight away of whatever it is you're asking
and those guys are looking for something for I don't know 50 years and then and then die
and still without knowing whether there is dark matter or not
they'll be really upset if AI comes along and fight and discovers what it actually is
very quickly.
Jeremy likes dark matter don't you?
Yeah, we brought up Vera Rubin quite a bit on the show and you know giving
giving her the appropriate credit even when not to get too political but even when
that the executive branch in the United States decides to wipe some biographical details about
how she persevered and how she pushed forward with these groundbreaking ideas in a world that
didn't accept a lot of really smart women, which is tremendously unfortunate. I like to bring her up a lot
because I think she's really special. Yeah, yeah, I agree. She's really great. So yeah, that was one
story. That was super cool to write. And another one, and that one didn't involve any traveling,
but still I talked to researchers in different locations
and that was super interesting to actually understand
where those observatories are located and what they do
because many of them are underground and deep under a mountain or what have you.
And the other story, the one for the European Science Journalism Award,
that involved actually traveling.
And I was also writing my book at the time.
So it kind of was a combination.
I was working at Wired and I started writing a book,
my book on neutron stars, which took me to different amazing.
places around the world. And one of them was Australia. And so the story was on application of
quantum computing for high energy physics. And it was all about CERN and quantum. And that was the first
time I actually saw a quantum computer. I was in Sydney at the University of Sydney. And I saw
the chandelier and I was like, wow, that looks like. What's it like? Me and Jerry are very jealous to that.
We've spoken to a lot of people about quantum and we've never seen a quantum computer. What's it like
when you first see it?
It's very
dystopian
or steampunk, I don't know.
Very steampunk, yeah.
So it's just
this golden weird thing
and it really doesn't look
like computer or anything really.
And so, yeah,
I remember talking to the researchers
and they described how it worked
and I knew I studied quantum physics
before so I kind of knew the theory
behind it but I never seen one
so that was really, really cool.
Writing that feature on
specifically CERN
was still is, but was just starting to use IBM's quantum computers for high energy physics purposes
to find new particles, to find new models and so on. I thought that was very interesting and
inspiring. And that was also part of my book research, because in Australia I went to Parks Telescope,
that is one of the most famous radio observatories for pulsar detection, even historically, still working now.
I want to have like a side conversation and have you be my technical writing coach.
to figure out how I can run around and see the world and learn myself and explain.
It sounds like just a tremendous journey, like awesome.
You just said about quantum computing in CERN,
and we read Mityo Karko's book, Quantum Supren,
we spoke to D-Wave, is all about useful everyday quantum.
And then you say that it's heavily involved in finding new particles at CERN.
How heavily involved?
For example, when they found the Higgs-Boson or proved its existence,
how much of a part did quantum computing play in that?
Would they be doing what they're doing now without quantum?
I mean, back then, no, it didn't play, to my knowledge, any part in finding the Higgs boson.
But in the future, quantum computers could really, really help high-energy physics
by sifting through data much faster because you just imagine these collisions,
just like astronomical data, right?
Like when you're trying to detect something in astronomy, you also get this deluge of data.
And same from collisions and particle accelerators.
And just to sift through that data, quantum computers could be of enormous help to help you find much faster something new.
And it's not really happening yet, of course, because quantum computers are not there yet, but there are papers being written.
And CERN is working with IBM on exactly that.
But we are waiting until quantum computers become fully fault tolerant and, you know, probably another five to ten years or so.
And we'll get there.
You've heard it here for, thanks, five to ten years.
Stay tuned.
Yeah, we've definitely caught the quantum bug.
I caught the quantum bug early, just quantum mechanics,
just because of the wonder of it.
Like, we talked earlier about,
I'll say again, and some other writers find an inspiring wonder.
You know, some of the early quantum mechanical books that I read inspired wonder
in that life is like, okay, we have this physical thing,
this world that's governed by Newtonian physics, right?
And then you have this world that's, that we can't see through that lens of
Newtonian physics.
It almost seems magical.
And I think that's the interesting part.
And would you say, so you were an advocate kind of for quantum technologies for a bit,
would you say like that could be one of the biggest disconnects for people understanding the potential
of quantum computers?
Because we see the world in classical.
We see the world in Newtonian.
Is that the disconnect, do you think?
I don't know about disconnect.
I think the bigger problem is the hype out there.
And reporters who are not able to, you know, present the picture correctly.
unfortunately, and there's just so much information out there and on quantum as well.
A lot of the articles deal with qubits and trying to explain on a very fundamental level,
basically just repeating each other.
You know, there are qubits, they're different from bits because there's entanglement and
superposition, blah, blah, blah, like we've heard it before.
I think everybody's heard it before.
Like people who don't understand the first thing about quantum computers probably heard it before as well.
But what we don't hear much, and this is where I think is super important to the
the message to get across to, especially companies, but also, you know, young people who are
going to become maybe business leaders or politicians or whoever, they all should be aware
of the potential of quantum computers. So for me, the most important message, and that's kind of,
has been my journey, my quantum journey personally, is to explain what quantum can do for you.
So if you're working in automotive industry, can you use quantum computers? And if yes, then how?
Like this is the question I think media should be able to explain.
Or if you're, you know, if pharma, or if you're in politics or like, for example, in the UK, NHS right now, the health system is using, well, looking into quantum quite extensively.
And I think they're doing an amazing job just to see how quantum can optimize the supply chain and how it can help with, you know, drug discovery and so on.
So this is what I think we should hear more of.
And that's when, that's how you're going to get people.
Aren't the NHS still using Windows Vista?
I would love to see the British National Health Service
suddenly go from being quite historically behind the times,
making that massive shift to using quantum computers ahead of the rest of the world.
That would be very cool to see.
Is it all about data if you're in farmer, if you're in agriculture,
if you're in the automotive industry, if you're in finance?
Is it really about sifting through huge amounts of data?
Or does it go beyond that?
Well, it's not necessarily that.
it's more just the world of probabilities and not certainties, right?
So it's how you come to your desired outcome very quickly.
So instead of doing, for example, if you were trying to come up with a new material
and you need to arrange the atoms and your molecule in a very specific way,
well, there could be so many different ways you can do it.
If you do it a traditional way, then you have to go to the lab and you just do trial
and error over and over again.
You arrange your atoms, you create your molecule, and then you test whether that
that's what you need or not.
But a quantum computer can simultaneously check all the possible outcomes and give you the right one.
So that's the power of quantum computing, and that's how it's different from traditional computing.
It just computes differently.
It looks at all the probabilities at once, and that's the beauty of it.
It kind of takes the brute force approach away, which science has been brute force for so long,
and what an accelerant to science that quantum could be.
I think it can be a game changer in so many ways and so many.
industries, from finance to drug discovery, to even like helping you understand if you're, you know,
flying to from Sydney to New York or whatever, what route you're supposed to take, like how much
fuel you need to optimize the weight of your aircraft, for example, and find the best route.
Then it will just look through all the possible solutions at the same time and give you the best
outcome.
Thinking on paper.x, y, Z, forward slash quantum.
And you can listen to all our interviews with IBM, Dwave, IonQ, Horizon.
and our book club on quantum lots more way me and Jeremy listen to people who know what they're
talking about talking about quantum.
So back to speed, you're in Australia, you're having your mind blown by a golden
chandelier, the quantum computer.
I want to add to Vera Rubin with Jocelyn Bell Burnell.
And if you could tell her story first and now how that interacts with your story from being
in Australia looking at a quantum computer to the writing of neutron stars, the quantum.
understand the zombies of the cosmos?
So Joyce in Valbrunel, I met her, actually.
She's a fantastic lady, very funny, super approachable.
And at the time, the year was 1967, right?
And that's when we discovered the first pulsar.
Well, she discovered the first pulsar.
Her supervisor got a Nobel Prize for it a few years later.
She didn't, which, in my opinion, is super unfair.
She's very cool about it, though.
She just kind of says that that was the time.
but I think she definitely should have gotten the Nobel Prize.
The way it happened is very interesting as well
because up until 1967 when she found the first pulsar,
neutron stars were fully theoretical objects.
Just to explain maybe what neutron stars are, first of all,
for those who probably heard the name but don't really know what they are,
I personally find them super fascinating.
I know black holes are all over the place and everybody loves.
I hope not.
But neutron stars are, as I think I mentioned in the beginning, right, that they are the densest matter that we can find in the universe.
So like the final bus stop before the black hole.
And they pop into existence after stars die and not just any star, but very massive stars.
So for example, our son, when our son will die, it will be actually quite boring because what will happen, it will first in the next five billion years or so, it will exhaust its.
nuclear fuel. When hydrogen nuclei basically fuse together, produce energy, that's why stars burn. Once
the nuclear fuel will be exhausted fully, our sun will kind of swell up at first to become a red giant
and eat up Mercury, Venus and unfortunately Earth as well. We won't be there anymore, but, you know,
very sad fate. And the outer layers of the sun will become just a planetary nebula, but the
core of the sun will become this very small object.
called a white dwarf, which will be the size of the earth, but very, very massive.
So actually, also quite massive, not as massive as neutron stars, but still, like, imagine
the mass of the sun, you put it on the object the size of the earth, and that's your white dwarf.
White because it's very, very hot at first, so we see this white light radiating, you know,
when it's super hot, then we can see the entire spectrum, all the colors as white light,
and then with time it will become black and fade into oblivion, and we will, you know,
become a black dwarf and we will never be able to detect our sun ever again. So if we were to
detect it from, you know, somewhere else. So that's the fate of the sun and a rather boring
deaths. But if you look at stars that are much more massive, more than eight times more massive
than the sun, to be specific, then once hydrogen fuel is exhausted, what happens is then when
kind of these lighter atoms fuse together, they form heavy and heavy elements. So from hydrogen,
we get helium, from helium, we get carbon, then we get oxygen and neon, magnesium, silicon, I think, afterwards.
And finally, we get to iron.
So all of this kind of they fuse, they give up energy.
And then at some point, when it gets to iron, well, iron actually needs energy.
It doesn't, you cannot create energy by fusing iron nuclei.
It doesn't happen.
Iron is like the end point here of nuclear fusion.
So what happens then, you know, when the star is stable and you have this,
pressure from nuclear fusion, counteracting the pressure of gravity. Well, if you don't have fusion
anymore, then basically gravity starts being the only energy source at this point. The core starts to
shrink and there's no more resistance to counteract the gravity and everything just goes boom.
So protons and electrons get squeezed together and become neutrons. So there are a lot of neutrons and
the resulting object is this core, which is the neutron star. We see the supernova explosion,
all around because we can see, we can detect it in optical, of course, and it's super, super
bright in our China galaxy.
There are about, I think, two or three of these supernova explosions that take place kind of in
100 years or so in Milky Way alone.
So stars die pretty frequently.
And the neutron star that stays behind is this fascinating tiny object of about 20 kilometers
across.
So if you imagine a city, kind of know the size of Chicago or something, and you curl it up into
a ball and you put all the mass of the sun into that tiny sphere.
That's how dense neutrons.
A sun, a sun massively bigger than our sun.
It could be one to three solar masses.
That's the mass that could be shoved into a tiny 20 kilometer diameter sphere, which is a neutron star.
Anything bigger and it will collapse into a black hole.
So to remain stable, it has to have this very specific kind of mass.
And it spins and it travels through space at high speed.
So that's your neutral stars.
And we didn't know they existed for real.
They were theoretical for quite some time before Joyce Lynn discovered them.
I think the first time they were theorized was in 1934 by Franz Twiki and Walter Badd.
And those two guys, they just kind of came up with this idea, very correct idea,
that supernova were due to stellar tests and neutron star would remain.
But the problem was it was 1930s and, you know, there were other problems at the time.
So even Oppenheimer, he actually worked on neutron stars quite a bit before he got distracted by atomic bomb project and pulled in a totally different direction.
He was the one who came up with the upper limit of the neutron star before it collapses into black hole.
So he did some really pretty important work.
But still, it was again mathematical, theoretical.
And then finally in 1967, back to Joyce Lynn, she was a PhD student in Cambridge working with her supervisor, Anthony Huber.
who was super passionate about discovering more quasars.
Quasers are these active galactic nuclei
that are super, super luminous objects in the sky,
and they are powered by supermassive black holes inside galaxies.
And we had just discovered them at the time,
so everybody was like, wow, super cool, let's look for more.
And that's what Joycelin was doing.
She was putting wooden poles into the ground
and connecting them with copper wire
to create this quite primitive-looking array.
so an observatory made out of wooden poles on copper wire effectively.
I actually went there.
It was, it's still there.
You can still see the wooden poles.
Copper wire had been stolen and sold unfortunately, but the wooden poles are still there.
So anyway, she was looking through data one day and looking for these quasars.
And suddenly she saw a very weird signal that was repeating, just a peak, and it was repeating a few times.
And she thought, what is this?
That's not a normal quasar signature.
So she went to her supervisor, they examined it, and they thought those.
were aliens, like for real. They were really, they really thought for quite a few months that those
were aliens signaling from somewhere in the galaxy signaling the Earth. This was the late 60s?
Yeah, they was like this and they kept it super hush-hush. They didn't tell anybody about the discovery
because she discovered three more. So she discovered four in full, in total of this. A lot of aliens,
oh dear. Yeah, exactly. And so she named them, they named them LGMs, Little Green Men. So those were
the names. No way.
for the first signals that they got.
And she was actually pretty upset.
And when I was thinking about today's interview, today's podcast, I even bookmarked here in my book.
I'm going to read you a short quote from her because she said she was about to defend her PhD thesis in about six months or so at that time.
And so she said, why would little green man be using a daft technique signaling to what was and probably still is a rather inconsistible?
Speakius planet. So that taught you about her sense of humor, but also what she thought about the project
at the time. But of course, it turned out to be not aliens and they knew. So they just analyzed and
reanalyzed the data. And finally, the paper was published in February, 1968. And they said that
it was indeed neutron stars. And that was just the bombshell discovery and beginning of Palsar astronomy.
It was super cool. Amazing story. What a cool story. And another brilliant woman that I want to highlight to
that doesn't always get the highlights that she deserves.
O'SLEN Franklin was actually part of the DNA discovery piece
that she doesn't get a lot of credit for the X-ray diffraction images of DNA
was actually one of the things that she discovered
and that largely fed what Watson and Crick kind of put forth as well.
So I'd want to shine a light on her as well as Vera Rubin and Joyseland as well for those stories.
Is the culture of this changing in astrophysics and science in your journeys, in your writings?
Are you seeing their change or are women still being made invisible?
There are more women now, I think.
And when I was getting my degree at King's College, London, we weren't that many was me and another girl,
unfortunately, and then the whole faculty of theoretical physics, at least at the time.
So there are not that many, but while interviewing people for my book,
I interviewed quite a lot of female astrophysicists, and it's great.
And in terms of the recognition that they deserve, I think they deserve much more.
And I think what happens is that I find that women are a lot more careful when giving interviews to media, when thinking what to say, they will check and double check and triple check.
And sometimes I found that whenever there would be a paper and a woman would be involved, even if she would be a lead author, she would, for some reason, prefer that her male co-author would give the interview and not her.
And that's a shame.
I think they really should be a little bit more, you know, outgoing or confident in what they're saying is correct.
And I find that men just kind of, if they think something is true, they just go ahead and say it.
But the woman will triple check first before saying anything.
And maybe that's one of the reasons.
And I wish it wasn't like that.
Agreed.
Agreed.
Well, let's talk about new adventure.
And thinking about a lot just in life outside of show, there are always challenges.
is and struggles and like what's the next thing that you're willing to struggle for meaning like what's
the next journey that's meaningful enough for you to dive in to the hard research to the interviews
you've got a concept for a new book that you're that you're pretty excited about i know it's it's new
you're still kind of working through it but uh but talk us through that a little bit and and why
you're excited about it sure yeah well um i definitely want to continue my work in in quantum i think quantum
computing is super promising. I mean, quantum mechanics in general is just such a fascinating
field and there's still stuff we don't know about it. And literally earlier today, I was talking to
a ETH, ETH Zurich, University here in Zurich, Professor Renato Renner about quantum foundations.
And he said that there's just so much, like people, researchers don't even agree when it
comes to quantum mechanics itself. So there's just a lot of opinions, so to speak. So there's a lot
we don't know. Despite that, the technology that we're quantum mechanics has helped us to produce,
including quantum computers, is amazing. And it's not just quantum computers because people,
people may say, oh, but quantum computers are not like, they're not here yet, which is not true.
They're here very much. They're just not fully, like, full tolerant yet. We still need to do some
research, but lots of people think that they are not even, we don't even have them, which is,
you know, again, goes back to raising awareness around quantum. But everybody knows that
MRIs here. Many people have probably gotten an MRI, right? In the hospital.
Did yesterday. This morning. This morning, that's why my arm hurts.
Okay. Gosh. Okay. Well, I hope you're okay. But basically, MRI is exactly, you know,
that type of technology that is here because of our understanding of quantum mechanics,
lasers, you know, another. So that's, that's all pretty cool. And I was wondering that this
morning in the hospital and thanking the quantum mechanics for the process.
Absolutely. And then, so you have this theory of quantum mechanics that works super well in terms of what we can actually, like how we can move progress forward thanks to quantum mechanics. And then you have a whole different theory of general relativity and they all started at around the same time in the early 20th century. And GR general relativity has helped us enormously to take us like Jeremy, you were talking about Newtonian physics at first, right? And that's exactly, that's exactly, that's.
was a really big thing that happened with Einstein's, when Einstein published his theory of
general relativity because it helped us enormously to explore space, to, you know, with GPS and
so on. So we've achieved a lot. And yet, can we get a Feynman, explain it like on 5 snapshot of
what is general relativity? Well, it's, basically, it's very different from Newtonian physics in the
sense that Newton for centuries, we thought that Newtonian physics explained everything in terms of
like absolute space and time and that gravity was a force. But Einstein came along and said that it's
not a force, but curvature of space time. So everything is relative and everything is very different
from Newton. Gravity is there because of the curvature of space time. And that's fully different
notion is also very incompatible with quantum mechanics, especially when you look at it in
extreme environments such as singularities of black holes or Big Bang in cosmology. You know,
scientists are trying to bring these two theories together into one theory of everything, or commonly
known as theory of quantum gravity. And there are several models out there that seem to
kind of work like string theory or, you know, loop quantum gravity and so on. There are experiments
now that are being actually constructed as well to test quantum gravity, but we are not there yet.
And for me, the idea of the new book is that the two theories, they're incompatible, at least in some
regimes. We've achieved so much, like separately, if you look at them separately. And with technology,
quantum computers of the future, who knows maybe quantum computers will actually help us to go
100 years back and reconcile those two theories as well. So that's the idea, but it's still being
developed. It's a big mission. I love it. I love it. I'm excited for you to embark on that journey. Both
theories separately do very interesting things, but, you know, coming together with both of them,
they're very different in the worlds that they, that they operate. Fascinating stuff.
Two weeks ago, we had Brian Norton on, and he, he didn't write. He was the technical facilitator,
is what he is. Technical facilitator. He was the human in the loop of the first book written by
AI, Claude, wrote the book. He was the facilitator. He asked it to write a book and it wrote a book.
Your new book is going to be about quantum computing and AI and general relativity and the theory
of everything. And like Jeremy says, it's a huge mission. Applaud it. I can't wait. And I'm wondering
how is your writing and research process do you think going to change from the first book you
wrote in a pre-AI world? And in this one, do you envisage a big change in the creative process of the
writing and has AI changed how you approach writing about technology in general?
Well, I'm definitely not going to ask AI to write the book for me, taking all the fun out of it.
Right? Exactly. Yes. For me, I mean, writing, especially creative writing like that,
I think that's, I don't know, that's the most interesting part of it. Talking to people, AI is definitely
not going to help with interviews or anything like that. Where AI could be helpful, I assume,
is probably maybe with the narrative flow of future books.
I don't know about my specific book,
but just if you're thinking through how to connect the dots,
because it can search these huge databases,
it can probably connect the flow quite nicely for people.
And I'm pretty sure that people are already using it exactly for that
because you can even see, you know, LinkedIn posts
that are sometimes quite similar in style.
I am thrilled to announce blah, blah, blah,
and, you know, and then it goes through bullet points and so on.
It sometimes gets quite repetitive.
So I would assume that people are using it quite a bit for that.
I think it could be interesting to use it to maybe identify potential rabbit holes that you can
explore on your own, maybe things that you wouldn't have seen that you could weave into
and use the gray matter here, you know, to really get your head around stuff.
And I think that's the important piece.
And Mark, you referenced this earlier.
I want to hit this again for our listeners, like running into those moments.
where you don't understand and where your face is melting and you know you're trying to get your head around something new.
Those are the powerful moments. Those are the moments that we need to have to continue to grow to continue to synthesize information.
AI probably has a place, but like don't outsource all of it to that.
I always think about the scene in Star Wars where Luke Skywalker goes into the Death Star run and he and is relying on his headset to do all the work for him.
And then Obi-1 talks from beyond.
He goes, switch off, Luke, turn off.
and Luke eventually turns off the help.
He turns off the guidance and he does it himself
and that's when he really, that's when he succeeds, isn't it?
Yeah, well, I think for me, AI is cool and is really useful
as like in terms of assisting us.
I don't think AI is going to ever replace us as humans.
Creativity should be there for real.
But relying on AI to help you connect the dots
or help you think of something that you haven't thought about before
just because you don't have access to the data, or for science as well, right?
Like if you want to know, for example, if a certain paper has been written or not,
you can't just look through all the scientific papers, even on a specific topic.
But AI would very likely be able to sift through everything that's been written on, I don't know,
neutron stars in this case and find out where the gaps are.
So that's super useful.
Very cool. I love it. I love it.
I think we have a question from a certain Mr. Kevin Kelly, do we not?
Yeah, why don't you tee that up, Mark?
We like to end the show with, it's a nice, easy, quick question, isn't it?
What should humans be?
And we like to add a little, in brackets to that.
And how does technology help us get there?
Well, I think that links very nicely to what we were just saying.
I think humans should be humans, first of all.
They should stay human.
They should stay creative, emotional, empathetic,
if it's now or 100 years from now or 1,000 years from now.
Where I would like humans to get to with technology is I really hope that there would be a moment
when we think of something that will help us to travel in space much faster
so that we can start exploring other galaxies, other stars and planets and so on,
for real, not just looking at them through telescopes,
because the universe is huge, Milky Way is such a vast place,
and we are just a tiny spec.
So I think it would be really nice if technology of the future could help us to do a little bit more in terms of space exploration.
Well, Michi Okaku says we could just, you know, put these little stations on all these far-flowing planets and just beam our consciousness.
So maybe that's how we get there quicker.
No need to comment on that.
But, yeah.
Speaking of consciousness, everybody, we, Mark and I are reading Irreducible Federico Fajin in the latest episode of Book.
club. It's, we're in melt face moments. We're in those moments where holy supposed to be
conscious when you read in that book. You need conscious when you read it. But a spoiler alert,
consciousness is a quantum process. We are quantum and classical machines together.
Thinking out paper, XYZ for all the shows, show notes, links and all that fun stuff. Katia,
thank you so much for joining us today. I love talking with you about it and can't wait to hear
more about this, this next book journey for you. Mark, closing thoughts.
Thank you for helping me with the spoon and a teaspoon of neutron star keeps the dentist away or something like that.
I love it.
I love the scope of the conversation.
I love the book.
I can't wait to read the next book.
As Jeremy said, thinking on paper, x, y, z to put all the links to your journalism, to your work at the BBC and IBM and the book.
And yeah, thank you.
Stay disruptive.
Be curious.
Keep thinking on paper.
Thank you.
Thank you.
