00:00:00
If Apple doesn't provide me a large language model to talk to in a way, I don't care.
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>> I saw it took me like half an hour to watch the video because I kept pausing
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it and laughing so much. >> I'm a little scared about Whimos on New Jersey highways.
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>> It's a different type of driver. >> They say AI is going to change
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healthcare. What does that really mean? AI is going to change our streets, our highways. What does that really mean?
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Oh, we're going to get humanoid robots in our homes. That is going to change
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our lives forever. What does that really mean? >> Joanna, thank you for joining me on the
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way home podcast. Yeah. >> All the way here in Kernney, New Jersey, which is 5 minutes away from my house.
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>> Yeah. Well, we like having people in person on the podcast more than virtual
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cuz it's just more personal. It's more fun. >> We're right here. Yeah.
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>> We're This You know what? The two most powerful people in New Jersey tech media
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are in this room. >> I am willing to accept that. Do you think there's anyone else
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>> in New Jersey? I haven't thought about that actually. I'm not really sure.
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There's got to be other >> in tech media. We know there's a lot of
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important media people in New Jersey. >> Tech media. I don't know certain people
00:01:03
where they're from, but I'm I'm just going to go ahead and accept the crown.
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>> I'm pretty sure it's just us. >> I'm willing to take it.
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>> I mean, there's a lot of others and we are the top is what I'm saying here.
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>> I like it. I like the confidence. We should talk a little bit about tech
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because there's there's a bunch going on. We have your book here in front of
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us. We're also going to talk about this I'm really excited about. >> This is my new way of promoting the
00:01:21
book. It's just >> is just holding it up to your face during the entire podcast.
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>> It makes all the podcast editors very angry the block. Yeah, >> we were just talking about the cover, by
00:01:29
the way. The title is very and the colors and the shapes and I have to talk to you about humanoid robots as well.
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>> Oh, I would love to. >> I have so many takes. >> I know you do.
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>> They sometimes get me in trouble, but I'd love to hear your >> I love your takes and they're mostly
00:01:40
right. So, yeah. >> Perfect. So, tell me about this book. It's called I am not a robot. What is
00:01:46
What is >> my year using AI to do almost everything? You can search that all. You
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really just have to search I'm not a robot, but >> Joanna Stern because if you search I'm
00:01:55
not a robot, then you just get captas and it's a disaster. Totally. >> Um, great idea for the name of a book.
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Not actually a great idea when you go to sell the book >> for SEO. >> Um, yeah, it's terrible SEO capture
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situation. Um, yeah, this is about my year trying to use AI in as many parts of my life as possible.
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>> And um, that that's my pitch. Go buy the book. giving it a shot, being
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optimistic, open to it being either awesome or terrible, just fully fully immersing yourself.
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>> Fully immersing myself. And I don't define AI as just generative AI. It's
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not just chat bots. You've got self-driving cars in here, humanoid robots, healthcare, tons of different
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applications of, you know, what once was called deep learning, but now everyone just calls AI or, you know, chat bots or
00:02:40
generative AI. >> Yeah, there's neural nets. There's all sorts of things. It's just all
00:02:44
artificial intelligence. Yep. >> All the time. >> Yep. >> Awesome.
00:02:48
>> Not only do I have a book out, I have a new media company, which we're know
00:02:51
we're going to talk about, but it's called New Things, and you can go to
00:02:54
thenewththing.com. >> Or >> look at these sound effects. >> We got a sample.
00:02:59
>> Or you can go to my YouTube channel, Joanna Stern. >> PERFECT. >> We'll link everything below so people
00:03:06
can find it. First, we can talk. Actually, there's a little bit of tech news that we haven't talked about a ton
00:03:10
yet on the podcast, which is Apple's new CEO. That's a fun one. What do you think
00:03:14
about >> you feel like you haven't talked about that a lot on this podcast?
00:03:17
>> Well, we have talked about it, but I haven't gotten other people's thoughts
00:03:20
outside of the podcast. So, now I'm excited to start doing that >> because I've been listening to this
00:03:23
podcast in my car and I'm I'm pretty sure you've you've done a lot of
00:03:25
coverage of this. >> We did have a lot of optimistic musings about the future of Apple and I'm c Do
00:03:29
you agree with our thoughts on the on John Turnis being the new CEO, the product guy?
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>> I do. I do. I think look, we we love products. That's our focus. Tim Cook is
00:03:42
kind of he likes products. I think we you say he's not the product guy, but he's like he likes them.
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>> Yeah. He likes using the products to be good at his job of making the company
00:03:50
really good. >> He loves using products to make money. >> Yes. Exactly. Right. Great. Yeah.
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>> We do too. >> But we also just love using the products. Like even if someone told me
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you're not going to make money using this tech product, I would love to still
00:04:03
use it. >> Yeah. >> And I think it's I love your guys optimism. I'm optimistic. I think it
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just means that the most senior leader at the company is going to be able to talk a little bit more thoughtfully
00:04:14
about these products, why they made these decisions, what goes into it. >> You and me have both met Tim Cook over
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the years, and he's great to talk to. He clearly loves Apple. He loves the products they're making.
00:04:28
>> Yeah. >> This is going to get like deep into the products. >> You've interviewed a bunch of Apple
00:04:32
execs over the years, and I get I mean, you've talked to Tim. Do you ever talk
00:04:36
to him about products or it's more just like global company vision, big picture
00:04:40
stuff? That's usually what he's good at. >> It feels like that's where the
00:04:42
conversation usually goes. Yeah. Right. When you I mean I've watched your interviews with him too.
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>> Yeah. With the CEO. >> Yeah. With the CEO. That's But there are
00:04:51
other companies where the I would say what's a what's a good example of >> I mean I talked to YouTube CEO in the
00:04:58
weeds of the products all the time. I haven't done an interview with him in a
00:05:00
while on camera, but we did do one and that was very product focused. Um, and I I think in general just when I talk on
00:05:07
camera about stuff, I'm trying to connect it to the viewer and that is through the products that we're both
00:05:11
using. So, we have experiences with the products. We think there are things that
00:05:14
are great about it. We think there are things that could be better about it and then the competition, you know, unveils
00:05:18
some shortcomings and we get to compare and contrast. So, that's what's fun to
00:05:22
me. >> I feel like actually what's really interesting is that right now in the
00:05:25
tech industry, the closest CEOs to the products are the AI companies because they're the founders.
00:05:32
>> True. Yeah. >> Right. >> Yeah. um like you've got the Microsofts,
00:05:36
you've got the Amazons, you've got Apple, and they're not the founders anymore,
00:05:40
right? Right. And they're not they're they're making these big decisions about
00:05:44
cloud infrastructure and all the things that are not the consumer product. But when you go and talk to
00:05:49
>> the Daarios or the Sam Alman's of the world right now, they're also really
00:05:53
deep still into the product that they helped create. Yeah. >> So, you have these
00:05:57
>> conversations. Look, there are plenty of conversations these guys are having right now, right?
00:06:03
they're on the circuit and it's everyone is talking to them. >> But if you're a person like me or you,
00:06:09
you can get really good conversation around the products because they're in it.
00:06:14
>> Yeah. Yeah. That that makes a lot of sense. Also, it's there's a lot of AI in
00:06:16
your book on actually give us the give us the 10,000 foot view of how you used AI for an entire year. Well, well, you
00:06:25
had the day, but also the entire year in the book. How did that go? What happened? You don't have to spoil
00:06:29
everything, but how did it go? Oh, it went. It went. Uh, that's that's that's
00:06:35
the top uh that's the big answer. >> It happened. >> I want Look, there seemed to be a moment
00:06:42
last year, 2025, even end of 2024, where there were so many new products coming out that had AI in them.
00:06:48
>> Yep. >> And there were all these grand proclamations being made by these CEOs
00:06:53
saying AI is going to change our lives. It's going to be amazing. And I was like, why don't we just try to live that
00:06:59
and see if that's true? and can I live 5 years into the future and see what these
00:07:03
people are talking about using today's technology and not giving people a perfect view, right? Because the models
00:07:08
have been getting better, the products have kind of been getting better. Um, and see what what life is like. And I
00:07:15
tried a big thing that I think is different about this book versus any other AI book is first of all, it's
00:07:22
meant for consumers, the people who are using this stuff. It's not just generative AI. It's not just chat bots.
00:07:28
We get into self-driving cars. There's humanoid robots. There's medical AI. And
00:07:33
I wanted to look at all these parts of life and say, "Okay, they say AI is going to change healthcare. What does
00:07:39
that really mean? AI is going to change our streets, our highways. What does that really mean? Oh, we're going to get
00:07:44
humanoid robots in our homes. That is going to change our lives forever. What does that really mean?"
00:07:49
>> It actually means nothing because they're really not ready. Um, >> and so that's I I And the book is like
00:07:55
done by the year. So, it's I wrote this in 2025. It starts in winter of 2025,
00:08:01
you know, New Year's Day. And I just tried to throughout the year use AI as much as possible. I do want to say like
00:08:08
there there were places where I couldn't use AI. I say in the beginning of this
00:08:11
book, >> if I went full throttle, I would be divorced and I would have lost
00:08:16
everything that was important to me. >> Wow. >> So, I used that in a tempered way,
00:08:21
right? like I wanted to still be a human and a good parent and >> a good spouse and all of these things.
00:08:28
Um but I really Yeah. I mean, >> name it, I tried it. >> Yeah. There's so many interesting things
00:08:33
in that. Like I first I've wanted there's a video I've wanted to do cuz I
00:08:37
in the back in the day I did a Google versus Siri versus Alexa video. And now it feels like the modern version of that
00:08:46
would be to do GPT versus Gemini versus whatever other like Perplexi, all the best ones, Claude. But every time I
00:08:54
think about trying to do that, I always feel like there's some massive update
00:08:57
around the corner that as soon as I put out my video, it would be out of date. And so I don't know if I can make that
00:09:02
video or if it's even worth making because it's not useful anymore. How do
00:09:05
you feel about those compar? There's no one model that seems to forever be number one. It feels like it's not a
00:09:10
useful comparison. Yeah, I think that would be a tough video for you to do. Like it would have a very short shelf
00:09:15
life and you would hear from a lot of people saying like I just switched to Gemini. Oh, I just switched to that.
00:09:20
Like every every week it's different. And I'm very clear in this book to say I
00:09:24
never actually mention model names. Maybe there's one or two places where you know I mentioned 40 or something
00:09:29
like that. But I really because I knew that if you know writing a book you you only want to sell it for like a day. Um,
00:09:36
I mean I or apparently successful authors don't want it to be sold for just a day. I'm
00:09:41
not really I don't know yet. I don't know if I'm going to be a successful
00:09:44
author. Um, but so I but I think the themes of it, right? So if I was using an image generator, right, I knew that
00:09:51
wasn't going away. Yes, there's some examples in this like where the image
00:09:54
generator just like completely gaslights me and keeps saying like I was generating a picture for my son of five
00:10:00
hamsters and it kept being like, >> "Yeah, no, there's five hamsters in this
00:10:04
image." and be like, "No, there's six hamsters in this image." You know, and
00:10:08
then they'll be like, "No, no, look, I did it again." And then it' be like,
00:10:10
"Seven hamsters." It was and some stuff like that has gotten better. Yeah.
00:10:14
>> But >> yeah, thematically I really tried to just stay on that and not be mentioning
00:10:20
specific models because if I had like at the time, I don't know, >> GPT would have been the best and then,
00:10:26
you know, today people believe Claude or Gemini or, you know, Gemini is probably
00:10:30
getting updated in a few weeks at IO. Exactly. >> We we can't say. >> Yeah. So to your point, AI is a lot more
00:10:36
than just the chat bots. There's the self-driving cars, there's the medical
00:10:39
breakthroughs, there's all kinds of stuff. What was the most surprising thing that you maybe found in looking at
00:10:44
all these different things? Cuz the word AI now it's >> it includes a lot of things we used to
00:10:48
call uh what did we call it before? There was like the the machine learning. >> Yeah, machine learning. Exactly. Or even
00:10:54
neural links or whatever all these other stuff. What are you what are you surprised by?
00:10:59
Um, well, there's a lot of surprising moments in the book just in terms of my
00:11:03
usage. I think one of the big messages that I want people to know in this book, and I think maybe your viewers already
00:11:08
know it or listeners already know it, but there are so many places right now where we hear about this hate of AI. You
00:11:15
might hear it from your friends or from your listeners or viewers. >> And the truth is AI is already in your
00:11:22
life. There's just no way you're going to be able to say no to it, right? And
00:11:26
you've made this point before like about the image processing and the AI and the
00:11:30
algorithms that go into so many different things. But I think even broader and deeper than that, for
00:11:34
instance, one example is I have a big chapter in here about AI reading my mammogram.
00:11:39
>> And I sought that out. But many are going to get their X-rays or mammograms
00:11:44
or ultrasounds and they're already being read by AI. There is a radiologist behind the scenes using AI to say
00:11:51
actually that looks like cancer. Mhm. >> Um, so that was one thing that I didn't
00:11:56
really realize how ingrained it was already in parts of our lives that we don't think about. I think even like
00:12:02
self-driving cars, you we know they're in specific cities, >> but that AI is affecting your life
00:12:09
because your car is driving next to it. >> Yeah. I saw Whimo out here the other
00:12:13
day, which I thought was insane. Yeah. It was like right around the corner, and I saw that they're starting to test in
00:12:18
New York City >> and I'm a little worried about that. for them. Actually, mostly.
00:12:22
>> This is making me mad because now you are the top New Jersey tech reporter.
00:12:26
>> Oh, really? I mean, I I tested Whimos in Austin and I tested the robo taxis in
00:12:31
Austin. That's the only place I've ever ridden in a like fully self-driving taxi
00:12:35
service. >> Really? >> Yeah. And then I heard that they were bringing it to New York City and I
00:12:39
thought that sounds bold. And then I saw one and I thought, "Oh, that's
00:12:42
>> Did you see it in New York or in New Jersey?" >> I saw it right here on this block in New
00:12:45
Jersey. >> Really? >> Yeah. So, it must have been somebody coming from New Jersey. Tech New Jersey
00:12:50
reporter. This is insane. New breaking in New Jersey one or whatever it is. You I'm so jealous of the job you're about
00:12:57
to get there. >> So, they're out here. >> No, I had no idea they were in New
00:13:00
Jersey. I knew they were like in Brooklyn and they've been testing them >> around the city.
00:13:04
>> Wow. And you're sure it was a Whimo? >> It was definitely Whimo. Yeah. And I I
00:13:08
saw that because I recognized the headline that I had just seen and I'm like, "Oh, okay. Confirmed is true
00:13:12
because I see one here probably dropping someone off at the helicopter tours or something like that."
00:13:17
>> Interesting. >> Yeah. I'm a little >> I'm a little scared about Whimos on New
00:13:20
Jersey highways. >> It's a different type of driver that you have to deal with and that you and I
00:13:26
feel like in each one of these cities, the self-driving car, I guess something not people don't always talk about is it
00:13:30
has to assimilate to the driving style. So in California, these big multi-lane highways, all this stuff, and then of
00:13:35
course the neighborhoods, well-paved roads, usually nothing too insane, at least from the footage I see. Austin,
00:13:42
similar stuff, slightly different intersection types. You come to New York and New Jersey and the way taxi drivers
00:13:47
drive, the way Uber drivers drive, the way people on scooters fly past you and bicycles in the bike lane
00:13:52
>> and jug handles in New Jersey >> and all roundabouts and all these other
00:13:56
crazy things. I I'm curious. I'm curious how it handles that stuff. >> So, I in the book go to Phoenix and go
00:14:02
with my whole family. I have two sons and my wife. We went to Phoenix for spring break. We called it our Whimo fun
00:14:07
vacation. >> Okay. And um we went there for a week and we took about 40 Whimos and I had
00:14:12
been in them in different cities, but I really felt like I got when you're really in one city and you you can pick
00:14:18
up all of the little things the cars do. Yeah. >> Um you really feel like you're starting
00:14:23
to understand that driving style. >> Yeah. The city the city specific driving
00:14:26
style is is fascinating and I wonder Yeah. They all the cars all have to talk to each other and get better at driving
00:14:31
in each place. So if a Whimo starts to move, because this is the thing, if you're a Whimo in New York and then you
00:14:36
do a drop off in New Jersey and then you pick someone up and they want to go to South Jersey and then Philly and now
00:14:42
you're in now you're a Philly Whimo. Now what is that like? >> This is so many years away, but um I
00:14:47
would say in 5 years something like that could be >> could happen. >> You have the book here. You decided to
00:14:52
write a book. I'm curious about the decision to write a book in the first place because you have this long history
00:14:56
of you've been obviously you've done podcasting, you've done writing for your
00:15:01
website, you've done video stuff. Why the book and why now for a book? >> Yeah, it's a really good question. Why
00:15:07
did I do this book? As I am exhausted from being talking about this book, um, >> it's made you think about it more.
00:15:14
>> I should ask my bot version of myself why I did this book. Um, I thought this
00:15:18
was going to be a moment in time. Like the beginning of this book, I talk about the internet and this idea that in 1995,
00:15:25
let's say, >> were you even born? >> I was I was 2 years old, >> right? Okay. I had a feeling. Um I was
00:15:31
in fifth grade. I wasn't that much older than you. I mean, a little bit. Um like
00:15:36
if someone in 1995 came up to you as 2-year-old Marquez and you were like, I can't even speak.
00:15:43
>> Hi. >> Yeah. >> I only know three words. um and told you everything you do is
00:15:49
going to be on the internet, right? Every you're going to shop on the internet, your mail's going to be on the
00:15:53
internet. All these parts of your life are going to be going through a computer, you would have been like,
00:15:59
"Hell no." >> People of the time should certainly didn't believe it,
00:16:03
>> let alone want it, >> right? Yeah. >> You would just be like, "No." And then
00:16:06
and then if you told them, "Actually, and 10 years after that, it's all going
00:16:10
to be on a little screen that you put in your pocket." >> Mhm. And then they told 2-year-old
00:16:14
Marquez, "You're going to review those screens. You're going to be >> pumped."
00:16:21
>> They'd be like, "You're going to be a famous reviewer of little rectangles in
00:16:26
your screen in screen rectangles." >> You've been like, "Okay, I want to be an
00:16:31
astronaut." >> Yeah, >> mommy. >> Yeah. >> Yeah. Yeah. And so my point is is that
00:16:37
with the book I thought everyone keeps saying we're on this at this moment where AI is going to make that change.
00:16:44
>> It feels like it's good to have this piece that like will stand the test of
00:16:49
time >> to either be completely wrong or completely right. >> So this is the moment in time where we
00:16:55
are there's spectacular specul specul spec h speculating speculation speculation.
00:17:02
>> Edit that out. spectacular speculation. >> Yes, >> about about whether or not this is the
00:17:08
future basically. And we're all living in the time where okay, we know the world as it is. We know the search
00:17:12
engines. We know the structures of the internet. We know how we sort of switch on and switch off, but this AI thing is
00:17:16
going to change everything. And we're all skeptical. >> What if we and this is the premise of
00:17:20
the book. What if machines are a part of every part of the fabric of our lives? >> Yeah.
00:17:24
>> Every part. Just like the internet became. >> Yeah. But now machines that have smarts
00:17:30
that have that are smarter than humans, these people say. >> Mhm. >> Are going to change our lives.
00:17:37
>> Yeah. >> So, look, I'm covering that every day and you are too and it's going to seep
00:17:41
into but I thought maybe a book form would be good. And also, I'll be honest,
00:17:45
like I really want to hit a different audience with this book. >> Yeah. What is it? How is this audience
00:17:50
different than your normal like video audience? I am here talking to your audience and I hope they will read the
00:17:55
book or I'm really hoping that your audience will tell >> someone in their life where they're like
00:18:01
you know your audience like heard us debating if you should do that video on Gemini and Claude and they start getting
00:18:06
mad like we know in their head they were like no man >> wait for 5.7. Yeah, exactly. 5.7 5.5
00:18:12
with the image manner better than this. You know, nano banana >> sentence that didn't exist a year ago,
00:18:19
>> right? >> Nano banana is better than my five point whatever. >> I want them to tell their person in
00:18:25
their life that isn't super deep in >> you should go read this book because it
00:18:29
summarizes and gives you a really good understanding of what AI could do for you.
00:18:33
>> Okay. Yeah. >> I do also want let me look at this person. Nano banana nerd. I I want you
00:18:39
to also buy the book, but you could buy it for a friend. >> There is a lot of uh I guess there's the
00:18:44
two versions of the way people think about this future. I always have my own nuanced version of this, which maybe
00:18:49
we'll get to, but there is clearly a lot of positive use of artificial intelligence, especially in things like
00:18:56
pattern recognition, like in the medical field like we talk about. Oh, it'll look
00:19:00
at this uh MRI. It'll look at this tons and tons of data in a way that a human
00:19:04
can't and find a pattern. and maybe that actually means something that we didn't
00:19:07
know about before. So, there's a ton of upside, but then there's also a bunch of
00:19:10
downside. And you hear stories about this all the time about the chat bots talking crazy to people about all sorts
00:19:15
of other negative things. How do you think about the positive versus negative trade-off of all of our lives being
00:19:22
filled with artificial intelligence? >> I wish that I had a better answer at the
00:19:25
end of this book. I mean, you should still read the whole book, and spoiler alert, I don't have a better answer at
00:19:30
the end, but you should still read the whole book. Even you, Nana Banana friend. Um, similar to any other tech
00:19:37
tool, and I know you've made this point in your videos, >> Mhm. >> there's going to be good and bad. And
00:19:43
so, like, there is a very good chance this is totally worse and has far more negative consequences than any other
00:19:51
technology. Like, >> I feel like I sound like Sam Alman sitting here. >> Yeah. But,
00:19:56
>> but I need to learn how to do like a great Sam Alman impression. Like, he
00:20:00
thinks so thoughtfully off to the side. >> Mhm. You know how you study people when you
00:20:05
interview them? >> Oh yeah. You always watch a bunch of interviews of other things they've
00:20:10
talked about before and then you realize they're going to do the same thing.
00:20:12
>> Yeah. It's like looks up really hard. >> Does a few calculations
00:20:15
>> and it tells you the good news. >> Mhm. Um um like the job displacement is real and
00:20:23
people right now I mean I'm just started this new media company and the amount of
00:20:28
incoming I have from young people out of college who just can't get a job because
00:20:33
they feel like AI has taken over these basic tasks whether it's video editing
00:20:39
whether it's design writing that feels real and people are furious about it and they're like why do
00:20:47
we need this technology. >> It's hard to answer now and that's the
00:20:50
point of being in this moment in time. >> I have I have my nuance take which I say
00:20:54
it kind of relates back to smartphones. I saw like the time before smartphones where I was like playing around with the
00:21:01
VHS camcorder and there was a bunch of different tech and then you know smartphones came along and they brought
00:21:05
all these different technologies into this one supercomputer in your pocket and it's gotten really really really
00:21:10
good and also it's sort of slowed down in improvement and I have a hard time picturing a post
00:21:17
smartphone world meaning we've moved on from this form factor of the rectangle
00:21:21
in your pocket to something else. Uh, a lot of these big tech companies are trying to prepare themselves for a post
00:21:28
smartphone world. Oh, what if it's a glasses thing? What if it's a computer
00:21:31
on your face? So, they're all trying that stuff, but I personally still have
00:21:36
a hard time imagining that the smartphone isn't the center of that universe. Do you have a hard time with
00:21:41
that or do you feel like we could just move on from smartphones? >> I have a picture at the end of the book.
00:21:46
Bring it back to the book. >> Okay, >> we can we get a tight shot of that
00:21:51
specifically. So, for audio listeners, there's a then, a now, and a soon. >> Is exactly what I was talking about. The
00:21:58
then is someone sitting down in front of a computer with a tower PC. The now is just holding the supercomputer in your
00:22:04
pocket. And the soon is this girl with some cool glasses on, which are that's
00:22:10
you with which is clearly smart. >> That super cool smart girl. >> Yeah. And that's the soon that's the
00:22:16
soon. So, that's the post smartphone. >> Post smartphone. >> Not alongside the smartphone. alongside.
00:22:21
You know what? Actually, we need to revise this illustration in addition number two. The the phone is in her
00:22:26
pocket. >> Okay. >> Or in her purse or, you know, it's sitting in the car or something. It's
00:22:30
close by. >> Yeah. >> Um because the the phone powers this and I I one of the reasons I Well, if you
00:22:36
read all of this text here, it basically says we went through this, but we didn't
00:22:39
lose these other things, right? I mean, we don't Well, actually, I was just by
00:22:43
your desk. You do still have like a giant tower. >> Maybe not for long, but I do.
00:22:47
>> Maybe not for long, but you know. Yeah, sure. you're going to get like a Neo,
00:22:51
you're it's going to power everything you do. Um, >> we still have these, right? So, we we
00:22:56
have this long history of tech where things don't get replaced. They just we
00:23:00
get added. >> We get augmented >> augmented and and our focus shifts,
00:23:04
right? I mean, certainly the smartphone and this idea that the smartphone will be replaced. I I totally am with you.
00:23:09
This is I I can't see it ever like this is the per like the devices keep getting
00:23:13
more perfect. >> It knows everything about us. It fits in our pockets. we get to put it down and
00:23:18
then pick it up, which I think is actually something we don't think about a lot, but it's super important. And
00:23:23
then there's obviously all the thoughts about how often do you pick it up, how
00:23:25
often do you put it down, but the face computer, maybe there's a world where
00:23:29
you use the face computer a lot and you use your phone a bit less because it's
00:23:32
more convenient. You take photos and videos with it, maybe you talk to it, but you then check the the rectangle in
00:23:37
your pocket a little bit less. But that's still the thing that has all the power, all the best compute, all the
00:23:43
best form factor. So, I just I don't know. I don't see it going away. >> Okay. So, in the book I write a lot
00:23:49
about the wearables. Um, and this is perfect segue. So, we'll talk about this
00:23:54
one. Did you ever try this out? >> No. >> This was the B. This is the B.
00:23:57
>> Okay. >> Okay. It was Amazon actually ended up buying it. >> Looks kind of like a Fitbit.
00:24:02
>> Yeah. It it the hardware is unremarkable. It's fine. But this I wore
00:24:06
for most of the year >> and it has a microphone and it records everything you do.
00:24:12
>> Right now, I press the button and green means this is recording. Mhm. >> And so everything that's being said goes
00:24:17
to Amazon's cloud, >> they transcribe it, they pull it back down, they get rid of the audio,
00:24:24
>> and then I get a summary of our conversation, and it also gives me to-dos about our conversation. So if
00:24:29
I've told you like, Marquez, I'm going to apply to be the N the New Jersey One
00:24:35
tech reporter. >> Number one, >> yeah, I don't is >> top three.
00:24:39
>> I actually meant that it's the channel name. I don't know. Is there a New
00:24:42
Jersey TV network? There might be. >> Yeah. Anyway, um this will all be in
00:24:47
there and it will say you need to go apply to be the New Jersey number one tech correspondent,
00:24:52
>> right? Everything from this conversation will have been summarized by I by AI and
00:24:57
it will give me >> this crazy to-do list, a detailed to-do list. And you can keep this on all day
00:25:02
and it happens. Yeah. >> It's basically another brain in a way, right? I'm outsourcing my memory. I
00:25:09
don't need to remember what we did here. I don't have to actively go and put that
00:25:13
in my to-do list. >> Yeah. Yeah. We were just talking about this. Was it last episode they were
00:25:17
talking about? This of um I already sort of augment part of my brain in a way where I've just given up on remembering
00:25:25
certain things and I use well right now it's a task app and I just something I
00:25:29
have to do. I immediately take out my phone and I open the task app and I write it down just to make sure I don't
00:25:33
forget because my memor is not perfect. And everyone is willing to draw the line
00:25:38
in the sand in a slightly different place about how much they're willing to augment or offset their own brain. Um,
00:25:44
when you're going all in on everything, do you feel like it's making you I guess
00:25:50
we thought about this as like less smart or less useful? >> Less human. >> Does it? Yeah. Less human. Does that
00:25:57
feel bad to like not use your brain as much or is it convenient and then you can do all sorts of other random stuff
00:26:01
you didn't think about before? There are moments where you're like, "Oh, don't
00:26:04
worry about it. My bracelet got it." >> Yeah. >> Like I don't have to worry about that.
00:26:07
>> And that's nice kind of. >> That's nice kind of, right? Because
00:26:10
there are certain times where you know you're missing things. >> There's of course the flip side where
00:26:14
it's like I don't want to record everything. I don't want to live in my
00:26:16
own surveillance state. >> Yeah. >> And what I need to remember to do is not
00:26:22
that important. It's like change the fil water filter in my house. >> Yeah. But if it's unimportant, I'm going
00:26:28
to forget. Well, that was one of the findings in here is that I say like especially to my wife like I say I'm
00:26:33
going to do all these things and I never do them >> or I don't it's not I don't ever really
00:26:37
do them but um also I just don't have I don't remember to do them. >> Mhm.
00:26:41
>> Right. Um and so I think this idea of some passive computing that is on us
00:26:50
>> but works handinhand with the smartphone is coming. I I mean, and well, I'm gonna
00:26:57
do something next because I wanna I want to get your take, but I I I mean, I know
00:27:00
how you felt about many of these >> devices. >> Yeah, I I'm I'm willing to give them a
00:27:06
shot. This is my thing. And I know that the the main trade-off that I think I think the most about, and I'm probably a
00:27:11
lot of people watching think about is the trade-off between the data and the privacy and the
00:27:16
convenience. And it's almost like a sliding scale. The more convenience you get, the less privacy you get. If you're
00:27:22
going to have it remember everything you said and give you a summary of it, it has to listen to a lot of what you're
00:27:27
saying and it's going to be super convenient because it gives you that back in functionality. And so, how far
00:27:32
do you want to slide that? Ah, you know what? I'll let it listen to everything.
00:27:34
I'll let it see everything through my face cameras and I'll let it hear everything through the microphones and
00:27:40
then I'll be the most productive human ever alive. >> Or the other side of that which is I
00:27:45
just want it once in a while just to remember one or two things and that's fine. And I think that's going to be the
00:27:51
calculation going on at every tech company, right? At Apple, at Amazon, at Google.
00:27:56
>> If we're not providing a great tool and utility, people are not going to deal
00:28:03
with the privacy trade-off. Right? So, the glasses I think are a great example right now. And a lot of people don't
00:28:11
trust the meta glasses, >> but there's a good enough utility there, especially on the camera front,
00:28:18
>> right? that we're willing to put these cameras on our face in spec I mean I use
00:28:24
them in specific situations right places I wouldn't want to be holding my phone
00:28:28
and so there's a good enough utility there and a good enough benefit but once
00:28:32
you start I don't know always recording or always having those glasses on what
00:28:38
is the benefit >> it you need to prove that >> and that's the conversations that I'm
00:28:43
sure meta apple etc are having about what is the features that we can build in here to make that privacy trade-off
00:28:48
off work. >> Yeah. Yeah. Every company has to has to find a different place for that line in
00:28:52
the sand. That is also one of my I guess it's more it's less of a theory, but
00:28:56
it's kind of proving out which is that Apple is not winning the AI race, but because
00:29:05
they've basically not competed at all, they it's come around the other side
00:29:10
where people like that about them and they can focus on being the hardware that we run the AI stuff on at some
00:29:15
point. Um, but they have had a focus for a long time on the privacy and because of that they do not offer as much
00:29:23
convenience. C, Siri, Apple intelligence, etc. >> I actually don't mind on the Apple
00:29:28
intelligence stuff. I think you're totally right. If Apple doesn't provide
00:29:31
me a large language model to talk to, in a way I don't care. >> Yeah, >> but Siri is so atrocious. It is so
00:29:38
terrible. >> It's pretty bad >> that >> it can't do the basic things that were
00:29:43
really been promised. And I talk to Siri all the time. >> Yeah. >> Yeah. I mean, what other choices? Like
00:29:49
using CarPlay. I mean, we have you probably have deep thoughts on this, but yeah,
00:29:53
>> it's just a different podcast. Let's cut it there. Um or like I need Siri to just
00:29:59
play a song or tell me some basic information in the car or use my HomePod. >> Stuff that doesn't require a ton of data
00:30:06
and information. >> I tell the story all the time. every morning. I just want Siri to play NPR
00:30:11
pod uh news in my bathroom while I'm just washing my face and putting on my makeup.
00:30:16
>> Why do I have to ask five different ways and have to perfectly explain the name
00:30:21
of the podcast and the like that is insane. >> Yeah, >> it is 2026. >> So, we had to growing up learn how to
00:30:29
Google search. Yeah. >> Which was oh, you you kind of use certain words in a certain order and
00:30:33
then you will find what you need. And as they got better, it became less important to know those skills. The AI
00:30:40
is kind of the same way. Like you have to learn how to prompt it. You have to learn how to ask it to get a certain
00:30:44
result. But after a while, they should be good enough that you don't you should
00:30:46
just use natural language and it should just know >> conversational AI. We have the very
00:30:50
basics on all of the other chat bots now. >> Yeah. >> And look, Apple's going to do this.
00:30:55
They're going to do it this year. >> But >> I'm with you. like you don't need to
00:30:59
give me a chatbot that knows everything, but just please like one that can easily
00:31:03
play NPR in the morning or just tell me the weather or you know just just some of the really basic things like we got
00:31:11
timers right I'm f like I spent a lot of time yelling at Apple about that we got
00:31:15
the timers finally got timers I don't mean to be really selfish and you know
00:31:19
spoiled and say not look I'm very thankful for the timers Apple >> multiple timers
00:31:25
>> multiple timers right But now we we need a little >> now. Yeah. Yeah. Proud of that.
00:31:31
>> I wanted to bring this to you on the podcast. I think it's gonna be the
00:31:34
hottest AI wearable of the year. >> Okay. The hottest AI wearable of the year.
00:31:38
>> Ah, >> it's a pin. >> It is a pin. And >> I know you've had feelings about pins.
00:31:43
Tech pins. >> Well, this pin uh is probably better than the other tech pin.
00:31:49
>> Yeah, this is why I brought this. I wanted a review. I wanted the Marquez
00:31:52
review of the product that I made. >> Okay. So, it's uh it just has some text
00:31:56
on it. It says verified human. I am not a robot. Now, I didn't have to do anything to earn this pin and prove that
00:32:03
I'm a human. This is like a trust basis. Like you believe that I'm a human.
00:32:08
>> I've spent a few minutes with you today. I feel feel like you're a human. But we
00:32:13
we you know, one way I was going to have you tested is that if you poke yourself
00:32:16
and see if you bleed. >> That could be simil I mean, I could simulate that. You're saying I passed
00:32:22
the Turing test. >> Let's see. Let's see if there's blood. So far, so far so good.
00:32:26
>> We gave Mark has the blood update last week, so >> yeah, that was a pretty solid show.
00:32:30
>> Oh, I saw that room back there. I was worried about that room. >> They had to get that blood.
00:32:35
>> Has any other guests made you bleed on the show? >> No, no, we haven't beta tested the like
00:32:39
making me bleed live yet, >> but uh I feel like it would do a pretty good job. I mean, I would bleed for
00:32:46
sure. >> Okay. Well, >> yeah, >> then you guys have really advanced
00:32:49
Marquez bot here to amazing potential. team. >> Yeah. >> Yeah. The back room is full of a bunch
00:32:57
of like non- workinging prototypes that are kind of just like sparking and it's
00:33:00
it's a whole thing back there. But >> um what else are your other impressions
00:33:03
of this pen? You look it's been really rough for other pin makers out there.
00:33:07
>> Yeah. >> And I'm this review means a lot to me. >> So So the other pin that I think you're
00:33:13
referring to also has the word human. >> Yes. >> Um with like an extra letter or
00:33:18
something, I think. But uh it says human on it. Um, that one had a bunch of other
00:33:23
claims of things that it said it could do. This one, I don't think there are
00:33:27
any claims of things that it should do. It should just verify that I am a human.
00:33:31
>> Yep. >> Which importantly should mean that if I'm a robot, I should not be able to
00:33:35
wear this. Like a humanoid robot should not be able >> Oh, good point. >> to like dawn the pin.
00:33:41
>> We can take that in. >> So, maybe some security some security steps in there.
00:33:45
>> This is a decent review. >> Yeah. >> Um, how how about the battery life? Oh,
00:33:50
it seems like it'll never turn off, which is really nice. The tech that lasts forever is, and this should last a
00:33:57
really long time, is underrated in my opinion. >> Wow. This means I almost could cry. This
00:34:02
is a huge >> I've worn like >> like two or three, you know how uh
00:34:07
>> the swag you get at tech events, you always get a pin. >> Yeah. >> Like that. This all I know. You don't
00:34:12
get the like little Apple pin like WWDC or like random and we used to make a pin, too. Like this. This feels like
00:34:18
right in line with like the >> Well, I really modeled these after I mean again, you might be a little No, I
00:34:23
don't think you're too young. Do you ever go to TGIF Fridays where they had
00:34:25
like all the flare? >> Of course. Yeah. Yeah. My birthday was uh I was born on a Friday.
00:34:30
>> That Oh, really? >> Yeah. And so I used to go to Fridays on my birthday every year. Even if it
00:34:35
wasn't a Friday. Uh just somewhere in New Jersey wherever I was. >> Yeah.
00:34:39
>> I loved CJ and they're like not around that much anymore. >> They're Yeah, unfortunately. I mean, I
00:34:44
get it. Can't miss. That sampler was amazing. >> The bread sticks went crazy.
00:34:49
>> Yeah. >> But yeah, this is this is a solid >> truly one of the best samplers. Okay.
00:34:53
>> Yeah. >> It means so much. >> Yeah. I don't know how every tech seems
00:34:57
like you have a bunch. >> Well, I mean, it's free for you. >> Oh, thank you.
00:35:00
>> Actually, the promotion we ran for the pre-order was that you had to pre-order
00:35:03
the book and I'd send you a free pin. >> Okay. >> Which the shipping on the pin was more
00:35:07
than the pin. >> Yeah, that's that's what we learned when shipping our pin as well is we had to
00:35:12
figure out the pin economics. But if you two want the Well, we got to get like a
00:35:18
quote. I'm going to have to put your quote on the pin review page. I know that's going to cost.
00:35:22
>> Battery life seems infinite. >> Yeah. In close. >> Battery life seems infinite. If you
00:35:26
would like to get this Marquez approved pin. >> Mhm. >> You just have to pre-order and then you
00:35:33
go to joastern.com and get your pin. >> Now you know. >> Although I'm frightened because I'm
00:35:37
actually like doing my Well, my AI agent, it deals with all the orders and sometimes it messes up and it's a mess.
00:35:44
I'm sure it'll do it'll do great for this on the Okay. On the bottom.
00:35:47
>> Is that true? You have an AI agent doing all of the back end on your >> Yeah, on the pin.
00:35:51
>> Oh, just the pin. >> Well, I mean on also it built my website and everything. But yeah.
00:35:56
>> Yeah, >> it's actually beautiful website. I have to say >> that I believe. That I believe.
00:36:00
>> Yeah. But no, it like if you submit a form the or you email the AI agent puts
00:36:05
it into the spreadsheet and then sends an email to my publisher to say there's
00:36:08
a new pin order. There's a little humanoid robot at the bottom of the pin. >> How do you feel about humanoid robots?
00:36:22
>> I have so many thoughts. It's a whole other podcast. Um, >> no, it's this podcast.
00:36:25
>> It's it's this this waveform. This is the one. >> Um, I really want them. It's weird
00:36:33
because I feel like I'm really excited about this category because I've lived through so many new tech
00:36:42
gadgets and hardware and this is one that we've all seen for so long. We've
00:36:47
seen it in in cartoons and we've seen it in movies and it's always this promise
00:36:52
and so now we like see them. They're really being made by these companies or
00:36:57
Tesla or >> Chinese companies, which is my recent YouTube video, and we want them to work.
00:37:04
>> Mhm. >> But they don't. >> Yes. >> I know you also have thoughts of like,
00:37:09
why is this form? Like, is this the right form? >> Yeah. >> But I don't even care. It's cool.
00:37:16
>> And it's so fun. >> I I do think it's fun. I have this thing. So, like you said, I don't know
00:37:24
that this will be the most efficient form for a functional multi-purpose robot. Let's say it's in your home or
00:37:31
something like that. You just want it in your home and it does things like laundry and puts the dishes away and
00:37:35
cleans stuff or whatever. Having it be an upright bipedal 10fingered thing with eyes and a head
00:37:43
and stuff. It's like it's it is fun and you do get that like Jetson's feel or or
00:37:47
the futuristic uh C3PO is a tall one right in Star Wars. Like >> it's cool, but it's also a little bit
00:37:56
creepy when we anthropomorphize things that are clearly not human. Almost like an animatronic friend.
00:38:04
>> And it has to get through that um >> what's the valley called? Uncanny. It
00:38:10
has to get through that uncanny valley of being a little creepy before it gets to being really nice. And I don't know
00:38:16
if I'm willing to deal with that. >> I have spoken to so I spoke to a lot of
00:38:20
robotics experts for the book and there's definitely this to there's a there's a two sides. There are the
00:38:28
people that say we should have custom single utility robots that do the things that you're talking about and are really
00:38:34
good at them, >> right? >> And then there's a side that the world
00:38:38
is built for humans. This is the form factor. This is what we look like. >> I've been thinking about this a lot. I
00:38:44
thought so. I agree with that. I also think that we as humans built the world around all of the shortcomings of the
00:38:50
human form. And we can do better. >> Literally short like we can't even reach
00:38:55
things. Our arms don't extend. >> Driving is the perfect example for this,
00:38:59
right? So you have a car. Let's say it's not a self-driving car. You could
00:39:03
theoretically have a human a humanoid robot sit in the driver's seat of your
00:39:08
car and hold the steering wheel and press the pedal and drive it. That's one
00:39:13
version of this solution. Now you have a operated car from a robot, but it still
00:39:18
has the same blind spots. It still only has a set of eyes on the front. It still
00:39:21
only has the reaction time of things that it can see and hear. Or your car is covered in sensors, covers all the blind
00:39:30
spots. It has this neural link that like maps all this information together, can
00:39:34
see way further around all the sides of the car, and has instantaneous response and doesn't have to move through the
00:39:39
steering wheel and the pedal. And it's a much better self-driving car operated by
00:39:45
a robot in that case. So, even though yes, we did design the car form around the human, I think that is actually a
00:39:51
limitation that we can do better uh by designing the single-use robots. So yeah, the world may not look the way it
00:39:59
does in many years if we have a bunch of really good robots instead of the the world like built the way it is.
00:40:05
>> I love that idea and I think I see it re I see you see it really clearly in the
00:40:08
book when I I I don't know if anyone in the world knows as much about laundry
00:40:12
folding robots as I do. Okay. >> How many CES laundry folding robots have you talked to?
00:40:17
>> I have talked to so many. I've also had a laundry folding robot in my house.
00:40:22
>> Wow. And the interesting thing about the laundry folding robots talking about
00:40:26
CES, there are those demos where it doesn't use hands, right? The shirt goes
00:40:30
through a different way. It goes through a conveyor belt, it folds, does these things.
00:40:34
>> What the humanoid companies want to do, and even some other startups that are
00:40:38
doing some wacky things with laundry folding, >> they want to give it hands.
00:40:42
>> Yeah. And >> the hands, they want to train it on thousands of hours of folding. Right.
00:40:48
So, I had this this robot in my house, and it's just two robotic arms, but it
00:40:53
doesn't it's like clenching. I keep doing this. Like, that's how they look,
00:40:56
right? They're like the grabs in like the, you know, in the arcade where you
00:40:59
it comes down in the claw that you don't get the free thing, >> which is actually it's probably better
00:41:04
for folding things >> kind of, but like >> some things. >> Some things.
00:41:08
>> Yeah. >> If there was a lot of I learned so much about the complication of folding
00:41:13
laundry. It's really simple for us, right? And there's this idea of Morvex
00:41:17
par paradox where things that are really simple for humans are really hard for robots and things that are really hard
00:41:21
for robots are really simple for humans. >> This robot like it struggles so much to
00:41:28
fold because it doesn't have the hands. It doesn't have all of the the right
00:41:32
moves like when the when the the shirt falls it doesn't quite know it because
00:41:36
every time a shirt falls it looks different, right? It doesn't know where the arms are. It doesn't know where the
00:41:40
neck is. >> Yeah. It could also only fold t-shirts, which is a problem, you know, for, you
00:41:44
know, if you only wore t-shirts, it's a problem for people. Um, >> sorry, we just had this argument uh last
00:41:50
week on the podcast about how >> about how about just about how garments, the nature of fabric and garments are so
00:41:57
complex that I have no faith that an ML model is anywhere close to understanding
00:42:00
how they work. >> And and that's what was proven by this. And so now you have millions of dollars
00:42:06
going into solving a problem of folding garments >> with that are trying to simulate the
00:42:13
human way of doing it, right? Like you're and I would like found myself cheering this robot in my basement. It
00:42:18
was two giant arms hooked up to a big laptop. It's got all the things and I'm
00:42:22
like standing in my basement like you can do it. You can fold my t-shirt in under 10 minutes. you know, like
00:42:29
why not create a robot that doesn't have arms that folds laundry a different way
00:42:33
and which we know some companies are doing. >> Yeah. Yeah. This is ex and and I
00:42:36
remember like talking in the in the Tesla factory about there are things that they have humans do that that the
00:42:41
robots simply can't do like when they have to connect like a hose for some system to another one. It just sort of
00:42:46
dangles and the robot just misses it. Doesn't like is trying to calculate the
00:42:50
position has no idea what to do. The human just grabs it, grabs it, connects it and it's fine. So there are
00:42:54
definitely things that are probably forever going to be better for humans, but yeah, for the things that are like
00:43:02
small mundane tasks, like I don't want to clean, like the we have robot vacuums. They aren't a human. It's just
00:43:06
a thing that rolls around on the ground. That's perfect. That's all it needs to
00:43:09
be. The the the single-use robot thing, I think that gets stronger and stronger in my head every time I think about it.
00:43:15
>> And I think for certain tasks, it's going to make sense for sure. Driving,
00:43:18
right? We that that one's already here. Uh it took a long time for us to get
00:43:23
here. Um but a lot of these other single tasks that we want in our homes are just
00:43:29
so hard. I mean like the dishwasher. I know you know the scene of the Neo robot went viral of it doing the dishwasher.
00:43:36
>> Struggle. >> Yeah. >> Right. I mean because that's like a very
00:43:40
h like the dishwasher was built for a human. >> I was laughing at your video for like a
00:43:45
It took me like half an hour to watch the video cuz I kept pausing it and laughing so much because it was really
00:43:50
it was tough. I'm like thinking about it and it's fine that it's slow because I'm
00:43:54
not doing it so it can just happen in the background but just watching the robot like try to bend over at the
00:44:00
>> I thought it was when we were filming it I mean I was like you know you know
00:44:03
you're live in this moment and I was like yelling at my producer David come over here like you know we can't miss
00:44:08
this it might fall got to get from like I thought it was going to fall into the dishwasher you know and it was
00:44:15
>> um and last last week we posted a first video one of my first videos on my own
00:44:20
YouTube channel. Marquez, I'm really trying to >> Yeah. >> live in your
00:44:24
>> We have a soundboard. >> We I'm I'm aware you have a soundboard.
00:44:28
I'm surprised we haven't used it more here. Um it's very impressive soundboard.
00:44:32
>> I got you. >> Um Grock context, please. >> It's a new one.
00:44:36
>> That's a new one. Yeah, >> that's a brand new one. >> Um where was it going? Oh, so I wanted
00:44:43
to do this story on these Chinese robots, the Unit G1 that you see going viral everywhere on the internet.
00:44:49
>> Yeah. How is that? >> Um, well, the video is doing pretty well, but most people are angry that I
00:44:54
I'm really talking about the fact that they're all coming from China. I mean,
00:44:56
the the the thing that I wanted to talk about there was that we're letting these
00:44:59
Chinese robots into the US >> and we're so worried about Chinese EVs and we're so worried about Chinese
00:45:04
phones, but yet like we're like, "Oh, let's let these giant humanoid robots
00:45:08
that are 80 pounds and can do kung fu come into America." Like, >> yeah,
00:45:11
>> that seems odd. Um, >> and it's a really interesting exploration of why China is obviously
00:45:18
ahead of the US on manufacturing these because they're ahead of us on everything on manufacturing in terms of
00:45:23
electronics. >> Um, but what was just funny, you should watch that one too, is like
00:45:28
>> the robot can't do anything. I mean, it can do some things. It can do it can
00:45:32
dance, which my kids love, and it can do kung fu, which my kids love. >> Um, but other than that, it just like
00:45:38
sat in my house doing nothing. >> It can do choreographed things. Yeah. Yeah. Yeah. I think this is what I've
00:45:44
seen about a lot of the uh AI promises is there's so much training left to do
00:45:48
and there's so much learning left to do by the robots that were sort of selling
00:45:52
the promise of the future. >> I made the humanoid robot bet that there would not be a single humanoid robot
00:45:58
shipped to a customer in 2026 that can do all the autonomous things. >> Oh, it can't.
00:46:03
>> Oh, yeah. That's part one. You're wrong about I think they will ship.
00:46:06
>> They will ship it. >> Do you think the 1X is going to get shipped? I think that they will ship it
00:46:10
to select few. I don't think that I will be one, >> but it won't do all the things.
00:46:14
>> I don't think Marquez is going to be select few. >> No. >> Um, let's say this. If I get in New
00:46:21
Jersey packed, >> Yeah. >> New Jersey tech media packed right here. >> Okay.
00:46:25
>> If one of us gets the 1X >> Uhhuh. >> we have to go. We have to share a New
00:46:30
Jersey >> 100%. Yeah. You know, >> you're welcome to try to ask it to do
00:46:34
whatever you want. >> You're welcome to come to my house. >> Yeah. and sit with it in the car. It
00:46:39
sounds like you want your humanoid to ride to drive your car. >> It's gonna be really bad at that.
00:46:43
>> We will shut down the town for that. >> Yeah. >> Um and so I think they will, to answer
00:46:48
your question, Alice, I think they will ship them autonomous. Zero chance. No way. Maybe it does one thing
00:46:54
autonomously, which is like open the door. >> Yeah. >> It won't do that. Um maybe maybe it will
00:47:00
do one task autonomously. >> Yeah. Yeah. We had a >> actually that's what we will do. You can
00:47:08
control my 1X from here in your VR headset. >> Oh yeah. I'll just start doing the
00:47:13
dishes. >> Yeah. >> Through through the headset with the the handle. Yeah. That'll be great. We had a
00:47:18
Amazon Astrobot here for like two or three maybe longer. Three or four years. >> No. It's still here.
00:47:25
>> It's still here. It's still here. >> That's so unfortunate.
00:47:27
>> It's just unplugged. >> The poor thing. It's >> I had one too in my house.
00:47:30
>> Oh, really? >> So you're aware of how bad it is at most things. like it would sort of just roam
00:47:34
around being a security camera, which I guess is technically a successful >> it does what it says it will, but all
00:47:41
the other things it's supposed to be able to do, it would not be very good at. And then it would just kind of trip
00:47:45
over things and get stuck on wires. So, it was this little robot, big wheels. >> It was just a like a Lex on wheels to
00:47:51
like play music. >> Yeah. That that's the closest we've gotten so far, which
00:47:55
>> Yeah. And the whole idea of like it would take the drink to the to the get
00:47:58
like to the other room. >> Yeah. made no sense to me because like it couldn't grab the drink.
00:48:04
>> A person would have to be in both rooms. >> At which point you could just ask the
00:48:08
person, >> right? Right. Which >> Yeah. >> Yeah. >> made it a tough cell.
00:48:14
>> Yeah. >> So, yeah, I do I tend to think we are quite far from the humanoid robot
00:48:18
future, but I'm curious to see how that plays out. If it'll be humanoid robots
00:48:22
or if I'll be proven right, vindicated. It'll just be a bunch of specialized,
00:48:26
smaller, really efficient, hyper adapted robots for individual tasks everywhere.
00:48:32
Your dishwasher will just have an army. >> Or the or the humanoids will just be in
00:48:36
factories and industrial settings. >> Even that, I don't think needs to be
00:48:40
humanoid cuz even those are like connect this hose or like put the door on the car. At this point, it's just a a an
00:48:46
arm. Like we have this robot arm in the studio which we've put a camera on and
00:48:49
we can teach it to do things. But in this factory, it doesn't have to learn anything. It just has to grab the
00:48:54
windshield and put it on the car or grab the next windshield. Doesn't have to be
00:48:57
shaped like a like C3PO. So, >> yeah, I guess and that's the argument that Amazon's made too, right? They've
00:49:03
got millions of robots and they're not humanoids. >> We'll see. I'm very curious. Um, all
00:49:08
right. What I have another question about just going independent as a media person because you've done now writing
00:49:15
and video as part of like The Verge and Wall Street Journal and having your own YouTube channel. How does that differ?
00:49:22
Like what what was the choice to to go independent and how does it like compare to being a part of a a larger structured
00:49:28
corporation? >> Yeah. No, like look, I'm only four weeks in. Well, like I'm two months, three
00:49:35
months in, but we just launched the YouTube channel. We just did that last week, two weeks ago. Um
00:49:40
>> which boy, you know, I'm really making it's a lot of work. You've
00:49:45
been working hard here. >> Yeah. Yeah, it is. You know, video production is one of those things where
00:49:51
>> you probably heard my octopus analogy. You end up wanting to do the video
00:49:55
stuff, but there's a ton of stuff around the video stuff that you also have to do
00:49:59
now, which is, you know, the behind the scenes, the inbox, the accounting, the the, you know,
00:50:04
>> the bookkeeping, the insurance, >> all that stuff. >> I underestimated that. People told me,
00:50:10
but I really underestimated that work. Um, >> so but now I'm finally getting past some
00:50:16
of that where I can actually get back to the content. I mean, I'm launching a
00:50:19
book in the middle of all this, which do not recommend. Um, but one of the reasons I did do this was because this
00:50:24
book was coming out. I was going to be on things like this and I wanted to be able to talk about the new thing. So,
00:50:29
it's called The New Thing. It's called The New Things. Go subscribe. It's
00:50:32
Joanna Stern is the YouTube channel. Um, >> but a lot of it like truly, you know,
00:50:38
inspired by people like you. For so long, I had been publishing to YouTube and I became really obsessed with videos
00:50:45
on YouTube, you know, a few years ago at the Wall Street Journal because I started realizing this is where the
00:50:50
audience is, right? The Wall Street Journal is made, the audience is amazing, but they're older. They have
00:50:57
more money and I felt in many ways I was not being as accessible to all the other
00:51:02
people in the world that want to know about tech. Uhhuh. >> And so I started focusing a lot on my
00:51:08
YouTube videos at the journal and those would appear on the Wall Street Journal's website too, but I was really
00:51:13
looking at the data on YouTube. >> Yeah. >> And more and more I wanted control over
00:51:17
that. I wanted control over the audience. I wanted control over what we do because you know you have editors and
00:51:23
editors are amazing and I still have some editors that I'm hired and are working with at the new thing. Um, but I
00:51:30
just wanted the freedom to do even more stuff and weirder stuff. >> Yeah. Well, even weirder than what you
00:51:36
are already some of your I really like a lot of the interesting video idea concepts that you came up with and
00:51:43
decided to pull off at the Wall Street Journal. I wonder what even weirder looks like. What is your favorite
00:51:48
>> I mean >> weird idea to >> I don't know if it's even weirder, but
00:51:52
like I just don't have to ask permission to do certain things. Totally. >> You know?
00:51:56
>> Yeah. And you get to sort of experiment with uh what works because it connects
00:52:00
with the audience, but also just what what you want to do and just to see if it works,
00:52:03
>> right? >> Yeah. What was uh what was the process for coming up with ideas for that
00:52:08
audience? Maybe there's a little bit of a different audience for the new thing
00:52:10
versus the journal, but how do you come up with an idea of what makes a good video?
00:52:15
>> I mean, for me, it's just curiosity. Like, if I have a question about
00:52:18
something like this book, like I just What does the world look like when AI is everywhere? Okay, let's go out and
00:52:23
answer that question. Let me go and report that out. let me go talk to people. Let me go test it. I mean, I
00:52:28
think the major overlap that both of us have is that we test things. We don't
00:52:32
just like go and talk to the companies making it. We wait for us to be able to use a lot of this. And so, I want that
00:52:38
to be a guiding principle of my coverage forever. Um, I think the the tough thing
00:52:46
about tech is like you it's all overlapping now in so many ways, right? So, if I want to not, you know, like,
00:52:54
oh, I mean, I don't want to talk about AI, which is not what I want to do, but
00:52:57
I, you know, think that there might be too much AI coverage. How do I figure out how to put those pieces together in
00:53:03
a in stories that are still interesting to people because people can be very oversaturated right now with YouTube,
00:53:09
AI, YouTube? >> Um, and that's I don't want to only be AI YouTube. I really don't.
00:53:14
>> Yeah. Um, like I don't want to be just, you know, every day like here's 10
00:53:18
prompts that you can do to >> that channel is already out there. >> That channel's already out there. Um, so
00:53:23
I think my guiding principles is like things that I'm curious about, things that are going to affect our lives with
00:53:28
tech and, you know, not be super technical, but be technical enough that I can still talk to the people who love
00:53:36
tech, but also like with the same thing with this book, the people in our lives that are still curious. We all use
00:53:42
phones, like we all use tech. How do I help make your life better and explain something to you?
00:53:47
>> Yeah. Do you have a a big project idea or a big video idea that you haven't
00:53:52
come haven't done yet that you think you could now pull off >> or is it all top secret?
00:53:57
>> We need a little bit more time to get up and running. Right now it's just like
00:54:00
get through the book launch. >> Yes. Which is >> get through WWDC. >> Okay. June.
00:54:06
>> Yep. >> Yeah. IO. >> I have a feeling September is going to
00:54:09
be very busy. >> Usually ends up being a little chaotic. >> Yep. >> Yeah. So like you know
00:54:15
>> yeah I kind of think of uh I've talked about this as like this we have the
00:54:18
waves of like the offseason the on season like September will be on October will be on and then you'll have like J
00:54:24
post CES January is a nice little little uh resting period you can sort of lick your wounds reset a little bit. Yeah,
00:54:32
this year it was like Samsung pushed back a little bit. It just kind of kept happening. But you can uh you can sort
00:54:37
of think of random new ideas and fun stuff you want to try that isn't >> I mean I have a lot of those ideas. Is
00:54:42
it just figuring out the flow? I mean, I could talk pick your brain on for hours
00:54:47
how you manage all of the different things and channel. And I'm also writing
00:54:50
a newsletter. So, like that's, you know, twice weekly newsletter, YouTube videos,
00:54:56
shorts, >> events, all of those things. And how do you think about it all cohesively?
00:55:01
>> I tend to go down the rabbit hole of that often, like content strategy. And I
00:55:05
don't have a newsletter and I'm not also doing like a book tour. So I I'm mostly
00:55:11
just focused on the content strategy for me is like long form versus short form or now short long form. That's actually
00:55:18
something that's a meta in my head. Uh three to five minute yeah >> long form videos kind of died in the
00:55:25
last four or five years. And why do they die? Everyone's optimizing for long
00:55:29
watch time, but people want to watch our videos. >> Casey Neistat was talking to me about
00:55:33
this and he said Marquez is doing this well. >> Yeah. >> Yeah. >> I mean I I was doing long shorts, which
00:55:38
were kind of weird, but I want to do shorts. just have an idea and like you know what people might want to hear me
00:55:43
on this and it doesn't have to be 10 minutes. >> Exactly. >> Yeah.
00:55:45
>> I think that I think we need more of that. >> Okay. >> So there's a thought for the world.
00:55:50
>> There's a thought. >> Free. >> Yeah. >> I gave you a free pin.
00:55:54
>> Yeah. And I gave you a free uh content strategy idea. Perfect. >> Amazing.
00:56:06
>> All right. I got a couple rapid fire questions for you. >> Oh gosh. Um, feel free to take
00:56:10
>> it's about the magic mouse. >> I I'm going to throw one in there about
00:56:14
the magic mouse. Uh, are you >> I have two of them. >> You is this your This isn't your mouse
00:56:19
of choice, is it? >> It is. >> Okay, maybe this isn't rapid fire.
00:56:22
>> Everyone is explain. >> Everyone is rolling their eyes. >> Explain yourself. You You intentionally
00:56:27
use And it sounds like you have two. So, you bought another magic mouse where you
00:56:31
>> Because when I'm charging, I like to have them in and out. >> That's Now, you know, you could just get
00:56:35
one mouse and just >> What? Right. Like you could just keep using it while it's charging.
00:56:42
>> Yeah. It's I love the scrolly feel. I like the clicky part. I like it.
00:56:49
>> Okay. Have you >> Have I tried other mouses? No. Never. >> Never.
00:56:54
>> But do you not like the other mouse? >> Only using the magic mouse. In fact, in
00:56:59
1995 when you were 2 years old and I had my first computer, I had a prototype of
00:57:04
the Magic Mouse. >> They've always had >> Johnny I have sent it to me. They've had
00:57:07
bad mice for a long time actually. Like I have I unboxed some of those old like iMac G3s and the mouse even from those
00:57:14
times was notably unique. >> The see-through the the plastic see-through ones.
00:57:20
>> Yeah, >> it's awesome mouse. >> It's an awesome mouse.
00:57:22
>> I mean, it's just cool looking. I don't know. >> Thank you. Thank you. Thank you. Insane
00:57:27
mouse chest. Okay. Yeah. >> Yeah. Desktop or laptop person? >> Am I going to be cancelled for the magic
00:57:32
mouse stuff? Should we edit this out? >> I No. No. I'm We have I'm not going to
00:57:37
name names, but we have people who work here. >> It's me and Michael also.
00:57:41
>> We like the Magic Mouse. I knew that we shared a bond except for this whole
00:57:45
basketball thing that you're always talking about. >> Oh my gosh. >> Just something about the magic mouse
00:57:51
that's that brings out >> Yeah. >> I just get mad for no reason. Uh
00:57:56
>> maybe John Turnis is the first thing he's going to do. >> No, that's actually huge. Wait, he has
00:58:00
to know the magic mouse is bad. He's a product guy. He has to know the magic
00:58:04
mouse is back. >> Marquez, please talk into the mic. >> Tim Cook, >> I was like,
00:58:08
>> podcast alert. Podcast alert here. >> Did you see that? You've seen the clip
00:58:12
where I asked Tim Cook about the magic mouse and he's like, we make a mouse like that. He hasn't thought about that
00:58:16
in years. >> Tim, >> wait. No, I haven't seen the Turnis one. >> Well, I haven't asked him about it, but
00:58:21
I know that he knows him first. >> He knows the magic mouse is bad. >> Of course, he knows it because he also
00:58:27
has two. And this is exactly what he does. >> He takes over at true. That's not I have
00:58:31
not reported that out. Please, as a reporter, I will confirm that. Actually, Apple PR will not confirm.
00:58:37
>> September 1st when he he becomes a new CEO. I'm starting a countdown timer to
00:58:41
when Apple releases a good mouse. >> Okay. >> Cuz there's a lot of stuff I want Apple
00:58:45
to make. That's maybe at the top of my list. >> And honestly, I'm fine with that mouse
00:58:49
just having a port someplace else. >> That would be a really nice start, >> right?
00:58:53
>> Yeah. >> I mean, Ellis agrees. >> Even if that's the only change they
00:58:56
make, >> even if it's still an ergonomic nightmare, just move the port. Okay. Do
00:59:00
you have hands? >> Yeah. >> How is it an ergonomic nightmare? >> Cuz it's I have a like a hand that is
00:59:07
maybe three times the size of the hand they designed it for. That's true. >> That's true.
00:59:11
>> So, what if they just made Magic Mouse XL? >> Yeah. What if they made Magic M?
00:59:14
>> That would solve one of the critical issues. >> Ultra. >> Oh, yeah. Magic Mouse Studio.
00:59:19
>> That would solve one of the two horrible things about the Magic Mouse. If they
00:59:23
could just >> $27,000 to get that mouse, what would you buy it? No, I would just use an MXM, which is
00:59:31
just fine. >> Oh my gosh. If you spend an extra $600, it has wheels. >> All right, I'm in.
00:59:36
>> No, stainless steel. It's little feet with it just walks around little scary
00:59:42
>> and a tail. >> I'm pretty sure John Turnis is listening and taking me.
00:59:46
>> He's got it right now. >> John, if you just watch this part of the
00:59:48
podcast, Magic Mouse 2, please. You can do wonders. Um, >> okay. Rapid fire. Laptop.
00:59:54
>> Rapid fire. Laptop. Laptop or desktop? >> Laptop always? laptop always. Okay. No
00:59:58
desktop at all. >> I have a I have a Mac Mini running stuff, but >> totally. Uh what what browser do you
01:00:04
use? Are you an AI browser person or are you a regular browser person? >> I have a lot of browsers. Um right now
01:00:09
Chrome vertical tabs. I know you have a lot of feelings on that. >> I like Chrome. I like
01:00:13
>> I heard a lot about Arc on this podcast. I don't know what those I guess
01:00:16
>> Arc is nice. Arc is not the AI browser, but it is the beautiful functional
01:00:22
browser that a lot of us like. Um, but then there's like the Perplexity Comet
01:00:26
and >> I've been using Comet a lot. Okay. >> Yeah, I've been using Comet a lot. Um,
01:00:30
you know, here's the true story. I used Microsoft Edge for a long time >> on a Mac.
01:00:36
>> I know it hurts people. It hurts when I say it, but they had this great feature
01:00:41
called collections, which everyone else ripped off, but you could group your tabs or you could group your shortcuts
01:00:48
together, and it was amazing. Especially like when I was working like I'd be
01:00:51
working on a project like the book and I'd have 10 documents and 10 different
01:00:56
things and I just wanted them in one collection. >> Oh, like a tab group. >> It's a tab group but it's saved.
01:01:01
>> Oh, okay. So, okay. It's persistent. >> Yeah, it's like a bookmarks manager but
01:01:05
it was better than that. >> And then every other browser was like we'll add that and then you were like
01:01:09
finally no more Edge. I don't see >> Can I share a quick I've never met
01:01:14
someone else who uses Perplexity Comet. Um, I don't use it anymore, but I wanted
01:01:18
to share the the the last time I used Purplexity comment, which was me asking it to search. I gave it a a bunch of
01:01:25
things that I I I was making a mood board and I was like, can you go and collect these images for me? And I gave
01:01:30
it this big list of everything I was looking for and it's like, go out and find these images. And it came back and
01:01:34
it found me 20 images. And I was like, that's fantastic. And I was like, >> pictures of the magic mouse.
01:01:40
>> Sure. For for for this for this story, it could totally be. But then I asked
01:01:44
it, okay, now here's an updated version of the list. Go out and find images. And
01:01:49
it said, I don't have the ability to find images. And I spent an hour where it was just like, I can't do this,
01:01:54
Ellis. I don't have image. >> You're like, I you did it. >> The in are the images you found me. And
01:01:59
then I was just like, I deleted off my computer. I was like, >> I used Comet a lot in the book um
01:02:03
because it became like a reporting assistant where I could say, >> write to this company, see if they're
01:02:09
willing to do an interview about this. And it could just do that in the browser. H
01:02:13
>> yeah, comet's good. And I'm I'm testing personal computer by um Perplexity now,
01:02:17
which is pretty good, too. >> Okay, I'll redownload it. >> Yeah.
01:02:20
>> Yeah. >> Okay. Sorry. Um >> these are not rapid fire >> task app or pen and paper.
01:02:26
>> Both. >> Both. >> Yeah. Like when I'm doing something like
01:02:31
if I have like a day of video publishing, I have like a lot of things to do or you know, column or whatever
01:02:36
I'm have going that day. >> I have like lots of tasks that I need to do at the moment. They're like immediate
01:02:42
tasks and I write those on a paper on my on my desk. >> Okay. >> Um but then
01:02:49
>> I have this crazy notion to-do list thing that I've made. It's really not
01:02:52
great. Um do you use notion for to-dos? No, >> not for to-dos. We use it for uh project
01:02:57
management for like a per video basis. >> Yeah. So do we. Well, we started doing
01:03:00
that and then I just because I was like I'm already here. Let me try to use the
01:03:04
AI to build a to-do list thing and it did a pretty good job. But >> um because I'm also doing meeting notes
01:03:09
in there. So, I'm doing a lot in there right now. Um, but that like has a big
01:03:14
list and that's like further that's like stuff I need to do for the day, but it's
01:03:18
not like I need to do at this hour. >> Okay, that's a Yeah, good distinction.
01:03:23
All right. >> Uh, I haven't used a pen and paper in years, I think. >> Since 1992,
01:03:29
>> basically. Phone phoning your pocket right now? >> No, it's on in my backpack on the side.
01:03:36
>> Oh, which one is it? It's a iPhone 17 Pro. >> If you had to use a different phone,
01:03:42
which one would you pick? >> iPhone 17 Pro Max. >> It's a good answer. What if you couldn't
01:03:47
use What if you couldn't use any Pro? What if you couldn't use any iPhone?
01:03:51
>> Samsung Galaxy. No, I'd probably do a Pixel. I don't know. I I have been
01:03:55
trying to I have been playing around with a lot of the Android foldable phones. >> Yeah.
01:03:59
>> Um my issue, and I'm sure I'm going to have the same issue with the foldable
01:04:03
iPhone. It's very big for me. >> Yeah. Well, it's it's interesting the
01:04:06
way they're trying to allegedly allegedly it's going to be like this much smaller.
01:04:11
>> Yeah. >> Passport style and then wider. So, it could be it could be smaller and fit in
01:04:15
your pocket better than the current Pro. >> Yeah. I just do a lot of texting on like
01:04:21
the fly when I'm commuting and stuff like that. And then it's like, okay, I'm
01:04:23
putting it in my pocket. It's too big. And then I love being able to open it up
01:04:27
and do much more with the bigger screen. But I don't take advantage of that in in
01:04:32
that many scenarios. And I think I would more if I actually had a smaller footprint.
01:04:39
>> Interesting. Okay. >> Yeah. >> Um, how fast can you type the alphabet?
01:04:44
>> Like, I don't know, 90 words. I don't know, 80 words per second.
01:04:47
>> Is this your keyboard of choice? So, it's a bit of a tradition around here
01:04:50
for our guests on Wave Forum to simply type A through Z, >> as fast as they can. Uh, it doesn't
01:04:56
matter. We have a leaderboard. No pressure. You'll have three tries. And we also offer any of these fine,
01:05:03
beautiful keyboards over here if you'd like. I don't know if you typically
01:05:06
>> think I win. >> No, if you uh if you want to get a faster score, if you type faster on any
01:05:10
of these keyboards, we can swap it out. >> No, I think I can do with this.
01:05:13
>> Okay. >> Oh boy. >> No pressure. I'm going to point my microphone. You just So, the way this
01:05:19
works, so before you take your three attempts, the way this works is you, as soon as you type the letter A, it starts
01:05:24
counting. Yeah. And you just go ABC to E. If you miss a letter, you still have to hit that letter. And then that's how
01:05:28
you get all the way through Z. Can I tell you something else? >> Okay. No, no. I'm gonna I can do this. I
01:05:36
can do this. >> You got this. The first one you'll just figure out how it works and then the
01:05:39
next two you'll you'll lock in. >> All right. Ready? >> I'm ready.
01:05:52
>> Oh, you have to press it. Okay. >> You got your first >> Yes.
01:05:56
>> First rodeo. So, now you've seen it. >> 10.5. >> Okay. I won't tell you the scores unless
01:06:00
you want to hear them. But >> I see it says best time right under five. >> Oh, no. No. That's cuz I did it earlier.
01:06:05
But you have two more shots. >> You did it earlier. >> I just did it to make sure it worked.
01:06:09
>> But we have a leaderboard of everyone who's ever been on the podcast and how
01:06:12
fast. >> Well, you're at the top or you're on there at five, so I know at least
01:06:16
>> I my official time might be slower than that. I don't remember. They'll find the
01:06:20
leaderboard, but you got you got extra shots to get even faster. >> All right. Yeah, we go again.
01:06:26
>> Go for it. I want to go again. I restart it. >> Okay. >> Wait, how do I restart?
01:06:35
>> I think you hit enter and it restarts. >> Okay, got it. All right.
01:06:37
>> Yeah. >> Sound effects. Go. I'm going again. >> Go. >> Is that how it works?
01:06:51
>> I think. Yeah. Just send it. Just send it until until you get to see. Oh, so much slower this time.
01:07:10
>> I was doing better when I wasn't looking at the >> Are you like home row just like banging
01:07:15
keys or are you trying to like >> I'm trying to touch type but I'm like
01:07:18
then I realize >> some of them are in weird places. >> Well, you realize you skip a a letter
01:07:23
and then you're like, "Oh, I hit that." Like that's what's
01:07:25
>> Yeah. You got to make sure. >> I'm like, "Oh, I've moved on." And it's
01:07:27
like, "Oh, no." Like, "You didn't get," you know, >> be Yeah. Yeah.
01:07:30
>> Cuz like I should just be looking at the screen and touch typing without looking
01:07:32
at the keyboard. >> Yeah. That's high difficulty. >> All right. >> Also, you know, this is making me
01:07:40
realize like they my kids don't know how to type. I have an eight-year-old who
01:07:43
does not know how to type. >> What about on a phone screen? >> On a phone screen kind of, but or on an
01:07:49
iPad, but like mostly they just do voice. >> Oh, that is >> And I'm really upset about it. and I'm
01:07:54
going to start working with him on Saturdays on typing >> cuz something we talked about is
01:07:57
something that quote kids these days don't know anymore. They don't really
01:08:01
have to know file structure or how or that files are even a thing >> and they also don't really have to know
01:08:07
how to Google things. And I guess they don't really have to know how to type
01:08:11
very much. >> No. >> Wow. >> I mean they know how to type like um
01:08:16
they know they know how to type emojis. >> Of course. Well, that's important
01:08:20
because you can't just say well you can say the emoji but you got to really find
01:08:23
the perfect one. All right, one more time. Go for it. >> This is very embarrassing.
01:08:38
>> Okay, I beat my time there. 9.3. >> 9.3. Lock it in. >> All right. I feel like if I did this a
01:08:44
few more times, I would be way better. >> Totally. I think that's usually
01:08:47
>> I think we proved that I'm a human pin on it. >> Yeah, exactly. That's very important.
01:08:51
Uh, do you want to know leaderboard scores or do you just >> Yes, I do. >> Okay.
01:08:55
>> Is there anyone good on the leaderboard? >> It's in Slack. I think I'll tell you
01:08:58
who's around you in in your time. >> Let's see. I got a DM from Adam. Boom.
01:09:03
Okay. Your 9.3 is exactly in between our own cinematographer Brandon and David Blaine.
01:09:11
>> Wow. >> Right. Nestled right in between those two. >> David Blaine doesn't have magic tricks
01:09:15
to be faster. >> He was He was also like, I'm going to be super slow. And then he got faster and
01:09:20
faster as he went. So there it is. >> Well, that I mean I feel like I would
01:09:24
also Okay, tell me what you are. What is it's that five? >> Um I ended up I This is the the whole
01:09:29
leaderboard. Uh >> Cleo's at four. >> Yeah, >> that's amazing.
01:09:34
>> Tom Scott had a 3.5. Insane. Some people are just insanely fast typists, but
01:09:39
>> didn't didn't Tom Scott do it on like his Dell laptop? >> Yeah, it was like like his keyboard was
01:09:45
the loudest thing. >> I'm coming back and I'm going to practice. This is not good.
01:09:48
>> That's good. No, that's perfect. >> I would really love to come back with
01:09:51
the OneX robot and >> Oh, maybe they'll type >> see how fast they can type.
01:09:57
>> Joanna, thanks for coming on. Thanks for talking to me. And uh I'm I'm going to
01:10:01
point people towards watching your videos and reading this book because I think it's all it's all very
01:10:06
interesting. People need >> about the best AI wearable in the world. >> And of course, well, they can get their
01:10:11
hands on this wearable if they get the book, of course. >> That's right. And they can.
01:10:14
>> I noticed you stopped wearing it. I I can't I feel I feel bad lying.
01:10:18
>> Uhhuh. You can't put it on. >> No, I just It would imply that
01:10:23
>> Oh, you feel bad lying that you're I see. Okay, that's so true. Yeah.
01:10:27
>> Yeah. I'll get Marquez to wear it. >> Yeah, you should get >> I'll give him the pin.
01:10:30
>> Get Get the real Marquez to wear it. And I so appreciate that Marquez bought for
01:10:35
you being so honest here. >> I I appreciate the pin. I will. I >> You know what we should really do as a
01:10:39
test? Can you fold your t-shirts? >> I can't fold anything. Yeah, I just kind
01:10:43
of have clothes. You fold laundry? >> I haven't fold. No, I actually genuinely
01:10:47
know. I can put stuff on hangers sometimes. >> But yeah, I avoid the folding stuff.
01:10:52
>> Yeah, we should test that. It would really be it. That's That's the touring
01:10:55
test. >> Me versus CES robot. That actually is basically the touring test. The caption
01:10:59
means nothing anymore. It's fold fold my >> humans can fold the laundry. You're
01:11:03
human. >> There it is. Now we know. >> Great. >> We'll have you back on at some point.
01:11:07
Thanks again and see you soon. Good thing I recorded this on my B bracelet.