00:00:00
I read a stat last week that there's like a quarter of the amount of people there's rats in New York City. Like
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there's a quarter. Yeah. Wait, what? >> Wait, hold on. I don't understand.
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>> You're saying there's four times as many rats in New York City.
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>> One quarter as many quarter of a rat for every four people. >> There's one rat for every
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>> Yeah, one rat. Isn't that That's like >> That's a lot of rats. One rat for per
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four person people. >> So there's a 25% chance you have a rat following you.
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>> There's a 25% chance you are a rat. Yo, what is up people of the internet?
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Welcome back to another episode of the Waveform Podcast. We're your hosts. I'm
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Marquez. >> I'm Andrew. >> And I'm David. >> And this week there's music playing for
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some reason. I don't know why. >> For some reason, >> but it feels
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>> We're all back. We're all back. We're here. >> Normal crew.
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>> Spoiler. We didn't even say our names yet. >> We did. We did.
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>> Audio didn't we? >> Yeah, we did. We actually just You said you
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>> said I'm Andrew. >> We went around and said our names and we were like so we haven't said our names.
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>> So we're all back. Uh we're all also rusty, but hey, >> it's uh it's another tech week. It's
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Torch Tay Mech. It's Mech. Google IO happened. Uh we got a whole bunch of Gemini stuff. Sony tweeted they have
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these new headphones, but they also tweeted this April Fool's Day joke like two months late. It was about AI photo
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correction. We'll talk about that. Uh, a new camera might be a Fuji X100V competitor, maybe. And, uh, a story
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about the coolest things we've ever done as a company because it's it's new and
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we've been keeping it a secret, but it's time you guys finally know about this
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thing that we've been doing. And I'm very excited to share it with you. >> At the end, can't skip ahead. Full
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retention. >> Yeah. >> Wait, I I don't know what this is, so I'm going to be excited.
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>> I'm awesome. I was like, yeah, totally. >> It's incredible.
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>> Uh, totally. Yeah. >> But first, did they even test this? >> Yes. I think David has some that are for
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next week that are going to be really fun. >> I'm a teaser. >> I'm gonna give you guys a choice.
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>> I was writing some things down on my my fraternity. So, I have a few, but I have
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either a did they even test this or one that I was impressed by. So, I wrote it as a hell yeah, they actually did test
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this. So, people have been saying maybe some of these things are a little too downer. I I'll open the floor that if
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you're ever really really impressed by something, we'll put that in because
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they did test it. I do like when things surprisingly work and you didn't expect
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them to. >> Yes, this is one of those. It sounds like we want to go with the hell yeah,
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they tested. >> I think that would be fun. >> Cool. Sure. >> This is something
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>> that's positive. Worked really well. It's something that maybe surprised me
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because this feature hasn't worked for a long time. Um, but I had a really good
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magic Q experience >> in Google Messages. >> Remind what remind people what Magic Q
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is. Magic Q is a feature in Google Messages where depending on what the person is sending you in a text message,
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you'll get instead of like an auto reply of yes, no, whatever, like a suggestion
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of maybe they're asking about an event. So here's your calendar and you can post
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in the calendar event for it. It's supposed to help you answer things that Google should know within your Google
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land easier. Yes. >> So, I had somebody, a mutual friend of Marquez and I say,
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>> "Hey, do you have any photos of that camera crane arm you used to have on
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Marquez's Tesla?" And I was like, "Wow, that was a long time ago. We don't have
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that anymore. I'm not even sure. I'm sure they're in here somewhere." And I
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got a little button that said Google Photos. I was like, "Oh, cool. I can one
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click. I'm still going to have to search for it." >> Google Photos. launched Google Photos
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right there. Suggestions based on the text message and there's two pictures of
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Marquez's car with the camera screen. >> Wow. >> And I just clicked both of them and
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said, "Thank goodness for Magic Q because these are actually them." And
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Mtos had no idea what I was talking about, but who cares? He got the pictures he needed.
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>> That is what it's supposed to be amazing for. >> Supposed to do. It is now 1 14 3000
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>> that yeah it's I found that I can I can search brand names in Google photos and
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it can it can tell me like Tesla versus regular car or you can search Mercedes and it will find Mercedes.
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>> Here's something that's funny. It said on a Tesla like in the suggestion said
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on a Tesla but >> it was one of like eight photos that it tested. The one before it was the um
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trailer hitch camera mount with a giant Ford logo on it. It always clearly is not I don't know how, but it always has
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false positives for some reason. But yes, it did. It did find the Teslas, which is cool.
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>> Cool. >> I think it found the crane arm. I think that was the >> the discerning factor that was a little
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easier to pick up on and unique. >> It's been getting the faces wrong for me
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recently enough. Yeah. I'll be like this person in Canada and it'll be like 80%
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of them is that person, but then 20% of them will be a different person. >> False positives. Yeah. It just seems to
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cast the net wider than it's supposed to, which is probably a good miss. >> Yeah.
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>> And then Yeah. It'll just have some random stuff that's not what you asked
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for, but it will always have somewhere in there one of the things you asked for,
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>> right? Just Okay. I tweeted that I'm going to have a generational crash out.
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So, I think that's about to happen. >> And what will you be speaking out about
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today, David? If you're unaware, this week two companies decided to do the worst thing possible to piss me off.
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That's right. Uh Google and Sony decided to implement new AI image editing features.
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>> That just proves that engineers have no idea what the a photo is supposed to
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look like. >> I think they tagged you specifically when they posted. >> I felt personally very attacked by this.
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>> I want to >> Yeah. Yeah, before you get into it, the blame, I'm not sure where to put it on
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just the grouping of engineers cuz we've had photo engineers come to us and say
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like, "We watched your video on this and we've been trying to tell people on our
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team." >> I'm blaming social media. >> So, there's some there is someone to
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blame and I agree and it doesn't take anything away from this. Some of the engineers know what they're talking
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about. >> Yeah. Okay. Well, to be fair, okay, I'm just going to talk about exactly what
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happened. Do you do you want to talk about Sony first or Google first? >> Let's do the Sony one.
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>> The Sony one. Okay. So, Sony tweeted this photo from a new phone that of
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course they just basically didn't announce like usual. Um, called the Xperia, what is it? Xperia 1 Mark 8.
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>> That's probably way too expensive and they'll announce it now and it'll
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release in September and then nobody will buy it and it'll be available only
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at B&H. >> It's available for pre-order. Okay. >> It's available for pre-order.
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>> You can spend £1,400 on it and it ships in a month in June. >> In June. That's actually way faster than
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they've ever done. They're getting better. It's pretty bad, but it's better
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than they've been in a long time. >> Yes. >> So, there there's what's happening.
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>> So, they they tweet this tweet that says, "The new AI camera assistant um
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asterisk for some reason." >> Uh with Experia intelligence brings stories to life using subject, scene,
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and weather. It suggests expressive options with adjustments of color, exposure, bokeh, and lens, whatever that
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means, for breathtaking photos. What does it mean? Adjustments for lens. What does that even mean? Okay, there are
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four photos here. One of them is kind of acceptable, I suppose, >> brother.
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>> It's like a flower and they made it warmer and it's like fine. The other two
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are it's it's hard to explain how bad these are. Um, one of them is almost
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definitely not directly from the camera because the shadows were already jacked and it was already underexposed. And I'm
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pretty sure that this was pre-edited, but the AI edited version is like sharpening to 12, uh, whites to 12,
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saturation to -3. They boosted the red for no reason. >> To explain the photo, it's a woman
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standing in a field full of like tall hay and a blue background. And like you said, it's a little underexposed.
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>> And the horizon is at 30°. >> Yeah. >> How is she standing straight, but the
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horizon? >> That might be the more conf. >> Is this a fake picture? I don't know.
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Strangest social media post I've ever seen. >> Okay, but the the mo the worst one is a
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sandwich. >> The sandwich >> which already like looked like a phone photo. Like it has that compression. It
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has that oversharpening. Whatever. At least it had contrast. The AI camera assistant one. One of the worst edits
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I've seen in my entire life. Uh, I have an Instagram post from before I knew
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what cameras were where I applied like three Instagram filters to make it look kind of similar to this where it's just
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like really washed out with like no color whatsoever. Like I used to I used to think that that's what made a good
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picture too. >> We all did some of those too content. >> My bio since the the beginning of my
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Instagram account was I'm I promise not to overdo the filters. I mean, but did
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you look at this? >> # no filter was my my end of the spectrum. Oh, yeah. That was
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>> bad, right? >> You're Yeah, >> it's so bad. Guilty.
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>> This This sandwich is like It's a croissant with I don't know. >> Turkey, cheese, tomato, lettuce, like a
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sandwich. >> Lots of good colors that could be Yeah, it's a really close-up of a sandwich.
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Yeah, >> but it is so brightened out in the new one that the white text that says AI camera assistant is almost
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hard to read in the photo because the photo behind it is so bright and washed out that it gets lost.
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>> Yeah. Um, okay. So, if you look at smartphone camera upgrades since like
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the iPhone 7, specifically from US smartphone manufacturers, you're probably going to notice that there
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hasn't been a lot of change over the years. You know, the iPhone like 11, 12,
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13, 14, 15, 16, 17. Like, we did these camera tests, right? Smartphone cameras over time, especially from US
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manufacturers, really what they've gotten better at is they've gotten better at low light because the sensors
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get bigger, they get better at the stabilization, the low light eventually gets better. However,
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>> Mhm. >> the primary thing that these companies have been doing is making signs easier
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to read because they look at user data and they say, "What do people usually
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use their smartphone for?" And it's not to take artsy pictures, right? It's to
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take pictures of signs to send information to each other. A >> lot of utility photos.
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>> A lot of utility. That's >> especially Zoom. >> Yeah. Of It's probably like 80% of what
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people take photos of, right? >> Depends on the age. >> Depends on the age.
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>> I think a lot of old people have a lot of utility photos. >> That is very
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>> You're not taking pictures of kids anymore. It's just like menus at
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restaurants, signs to read them better. >> I mean, I take photos of those things,
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send them to friends, whatever. >> Um, but people are buying dig cams right
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now because all these smartphone manufacturers have just been jacking up the shadows, crushing the highlights,
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adding sharpening, you know, like, oh, people are buying dig cams because they're old and they're like
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fashionable. It's like, no, the dig cams that people are buying now are still
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good cameras. It's just that they don't apply a ton of computational photography
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to these camera to these photos, right? >> Mhm. >> So, I have a diagram for you guys that
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I'm going to pull up. It's not a diagram, but it's something I made this
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morning. >> It's just a bunch of red yarn strewn across. >> So, this is a normal picture. This is a
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picture I took in Colorado a couple weeks ago, right? >> Mhm. >> It is a mountain landscape. There's some
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trees in there. There's some bright clouds. There's snow, which is quite
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bright. Then there's some, you know, there's a lake, stuff like that. >> Blue sky.
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>> Blue sky. So, there's kind of a lot going on. For people that don't know,
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there's a thing called a histogram, which has a thing in it called a tone curve. And effectively, it's a it's a
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chart that moves from left to right and up and down. And on the left side, you've got your shadows, in the middle,
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you got your midtones, and on the right you've got your highlights. And to have
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a wellbalanced histogram, it's kind of important to have information in the sha
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like to have a lot represented in the shadows, mid tones, and highlights. What these smartphone camera companies are
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doing is they are jacking the out of the shadows. They are crushing the highlights. They are adding clarity. Uh
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I would say a negative dehaze specifically on that sandwich photo. >> Yeah.
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>> And it looks like this. And this is kind of what that AI camera assistant photo
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looks like. And if you look at the histogram, they pull in all of the highlight information and the shadow
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information and it all goes away and it all gets crushed into the center. >> It's the middle. So, it's one big
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>> It's all a midtone. Everything is a midtone. >> Mhm. >> Would you say these smartphone companies
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should atone for their tone curve? >> Yeah. Yes. They need to atone for their
00:12:10
sins. >> Thank you. >> Yeah. I'm back, baby. >> I just want to say, and we've made this
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analogy before, the difference between a circle and a sphere is shadow is shadow
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is is like curvature, which you can only add through like a transition from highlight to shadow. Right. Carvajio,
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Da Vinci, they died for this. Okay, they invented this. Paintings in Italy in the
00:12:35
Middle Ages were all flat as and then they were like, "What if we added transitions between color and and tone?"
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And then things felt realistic and three-dimensional and people are like, "Wow, we can have realistic stuff." And
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all these smartphone companies are just like, "Nah, bro. We're going back to
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before the Middle Ages." >> Yeah. >> And I I don't know. I just I there's
00:12:55
something like the the Chinese the Chinese manufacturers are actually making good cameras, but for some reason
00:13:02
the US manufacturers, they're just like, "No, no, we're going to keep doing the
00:13:06
same computational photography that we did when our when our sensors were like a micron big."
00:13:10
>> I don't think it's just the US manufacturers. I just I so I I was going
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to say I talked about this in the big Android update video because that that before and after that they did,
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>> right, which we'll get to a second. And I talked about processing and I I did
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this thing where I had a every single version of a camera of every single iPhone, every single Samsung Galaxy S,
00:13:27
every single uh Google phone. >> Yeah. >> And I thought Samsung's phones were
00:13:31
pretty strong. Like the HDR happening in the S26s versus like the S22s and S23s,
00:13:36
it looks worse because they're trying to do this thing where they save bad photos. Yeah.
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>> Which feels like a win, but it also overprocesses good photos, which is
00:13:46
definitely not a win. >> Yeah. So yeah, that's S Sony, Samsung, Google, Apple, a lot of them are guilty
00:13:52
of this in a lot of ways. >> I mean, iPhone 7 and before the photos look great because they actually had
00:13:57
contrast >> in some ways. And they've gotten better, obviously, too. You have more
00:14:00
resolution, you have more depth of field, you have also things that have gotten, you know, more impressive at
00:14:04
capturing and getting good photos out of like bad situations. But yeah, >> they just need to change how they
00:14:08
process the information now that they have way bigger sensors. They haven't done that. Like they're using the same
00:14:12
algorithms that they were using on the Pixel 1. You know, >> you know a subreddit that's aged really
00:14:17
well. >> What? >> R/ HDR? >> I subscribed to that subreddit a long
00:14:22
time ago because it was hilarious because HDR was like this funny novel thing that used to like used to be able
00:14:28
to overdo and you'd get uh pictures on like Facebook like this. >> Yeah.
00:14:33
>> Oh my god. >> Hilariously overdone HDR. >> What is it? >> But but you can you get this effect.
00:14:39
This is just one of many extremely overprocessed photos. when you drag highlights all the way down, shadows all
00:14:45
the way up, clarity all the way up, sharpness all the way up, that's what you get. And that kind of feels like
00:14:51
>> there was an era in fine art photography, like right after Photoshop got invented, where people invented
00:14:56
bracketing, which is where you take on a tripod, you take like an underexposed photo, a perfectly exposed photo, and an
00:15:02
overexposed photo, and you use the information from all of those three photos or up to like nine to basically
00:15:08
make like a hyper HDR image. And there was a trend like in the in fine art photography specifically because it was
00:15:15
hard to do, right? What people consider a good quality is basically things that are difficult. So at the time you had to
00:15:21
have the knowledge to do this. And so if you go into any like coffee shop in like
00:15:24
a fancy town, there's a giant photo on the wall of like a mountain landscape or
00:15:28
a river that just looks horrible. >> Yeah. Yeah. >> I think >> and it's always printed on metal. So
00:15:34
it's like it's like glossy and weird. I hate that. >> Oh my god. I'm so glad you said that.
00:15:40
>> Any like gallery in a town outside a national park. >> Yes. Like Yeah. Yeah. It's just like a
00:15:46
bunch of animal photos that were taken with great cameras and like >> it's almost like I need to make this as
00:15:53
>> cool and like >> impressive as possible cuz I took this amazing picture of a moose, but it's
00:15:57
just like >> and they sell them for like $5,000. >> It'll be like a sunset where the sky is
00:16:01
like so orange. It's like you melted 10,000 basketballs and like a wolf that's like silhouetted
00:16:09
but because it's bracketed there's still tons of Sorry. This is like my pet
00:16:12
peeve. >> Was that near Estus Park? There's probably 40 galleries in Estus Park that
00:16:18
have like these exact pictures I'm talking I specifically remember one next to a coffee shop. Yeah, I think there is
00:16:23
something to what you said where like people think that it's good if it looks
00:16:26
difficult and if there's like back in the day when photos were 8 megapixels if
00:16:30
you get a really sharp photo that would look like a really good camera. So if you could
00:16:35
>> sharpen dehaze and like create a really you know structured sharp photo it
00:16:40
looked quote better even though it didn't really look that good >> just cuz you didn't know how to do it.
00:16:44
>> Yeah. So that sort of stuff started leaking into like this generic photography. It Yeah, that sort of
00:16:50
bracketing is is the same thing. And it's like, okay, if I want to take a picture with like the blue sky in
00:16:55
instead of blown out, it would be really difficult unless I had a photo a camera
00:16:59
with great dynamic range or I could learn bracketing and get like two or three photos and combine them.
00:17:03
>> Yeah. >> So now every time I take a photo, I'm like, I should do bracketing just to
00:17:07
make sure it looks better. It's not not necessarily better, but >> then that starts creeping into regular
00:17:12
photos, too. >> Totally. And this has even happened in film photography. Like there's a film
00:17:16
photography is kind of trendy right now, you know, whatever. There's this like
00:17:19
saying that people will be like, "Oh, just always overexpose by by a stop so
00:17:24
that you always have information in the shadows." And it's like, >> "No, because then you're just gonna get
00:17:29
an image that has too much information in the shadows." And like, >> yeah, I guess you can scale it back
00:17:34
because the highlights are more protected, but it's better to actually expose for the photo you want, not just
00:17:39
show all the information all of the time. >> Yeah. >> You know, so to get back to the Sony
00:17:43
thing, >> yeah, they Sorry. Well, two things on the Sony thing. one, that tweet with all
00:17:48
the horrible edits from the AI thing blew up. It has 13 million views on Twitter.
00:17:55
>> Their marketing department is like, I'm so confused because the best time to
00:17:58
delete this was yesterday, but also this is the most traction we've ever gotten.
00:18:03
>> It's a lot of views. So, on that subject, the second thing is they posted
00:18:07
a follow-up tweet. >> Yeah. >> Uh that said, did following the post about the AI camera assistant, we'd like
00:18:12
to explain the feature in more detail. It doesn't edit photos after shooting.
00:18:17
It suggests four settings in different creative directions based on the scene and subject. You can choose any option
00:18:24
and use your own or use your own settings. And so they show a couple more examples of one original photo and then
00:18:31
four suggested AI examples. >> Yeah. >> Which almost makes it more baffling that
00:18:36
they decided to show such a horrible example of a creative direction on all of those photos. They look dramatically
00:18:42
worse. Yeah, >> they thought that was creative direction, I guess, is a choice.
00:18:47
>> To be fair, two of these suggestions out of the four are horrible, too.
00:18:51
>> But they're nowhere near as bad as how bad the other ones were. So like even in
00:18:55
this has four suggestions and none of them are as bad, whereas the other one >> that went through approval that those
00:19:02
>> dude so many things about this like even just the the base photo looks like it's
00:19:06
like one megapixel. Like it's so oversharpened and soft and >> Yeah. Do you think they'd sue us if we
00:19:13
sold a t-shirt with that sandwich photo? Cuz I would >> I also love that you can barely read the
00:19:18
text that says, "I camera assistant original on it." Yeah. >> So anyway, they the social media post
00:19:23
was baffling. Whoever decided to choose those as the examples for the post ended
00:19:28
up winning because they got 13 million post views on their social media post. But also like now everyone's dunking on
00:19:34
this Sony phone again, which might be the most attention any Sony Xperia 1 has gotten in a decade.
00:19:38
>> Yeah, but that's true. >> Maybe not for the right reason. I mean,
00:19:40
I probably wouldn't even have heard that they had released this. I didn't even
00:19:43
know they released the the last one. >> That's actually true. I didn't know that
00:19:46
this phone was coming out. >> You know what? How I knew it was coming out like 2 days before this. Someone on
00:19:50
our subreddit was like, "Why does big tech reviewers never do Sony phones? This one's coming out and it's clearly
00:19:56
going to be the best camera. It would automatically win the smartphone award."
00:19:59
And then this came out and a bunch of people in the comments were like, "Is
00:20:02
this the camera you were talking about?" >> Maybe not, my friend. Hey, the
00:20:05
smartphone award. I don't know. >> Okay. And another thing happened with
00:20:09
the camera editing this week. Um, so I was I missed the Android show episode and I watched the Android show while I
00:20:15
was in Europe and it was mostly good. You know, I actually liked a lot of it. I thought Google did a good job kind of
00:20:20
humanizing their um their upper management people. >> Oh, I hard disagree.
00:20:25
>> I thought it was pretty >> cringy, which was very human. It was cringey. Really cringey. It was It was
00:20:30
cringey. >> Every time it made me face palm like that's that was the vibe. the like the
00:20:35
like half cut of like am I supposed to say something funny here? Like oh boy. >> I didn't watch it but that sounds
00:20:42
brutal. >> I think just the way >> before they talk they're like
00:20:45
>> they'd have like an unscripted moment which was >> which was probably scripted. Yeah.
00:20:49
>> Yeah. It was tough. >> I think if you have to describe it as humanizing upper level management
00:20:55
red flag. >> That's true. >> It's hard for all these companies. They
00:20:58
have like business leaders and like ruthless engineers like trying to also be the person who presents the thing on
00:21:03
camera. I mean, IOIO is rough. Mine is Woodward. He was great. But everyone, almost every company does a terrible job
00:21:09
at it. I think Apple's the gold standard that they're all trying to match because
00:21:13
they have these incredibly Yeah. robot energy, but they at least have like way to produce conver uh conversational
00:21:20
types of presentations, but they also don't pretend like they're actually
00:21:24
having a real conversation. They're not like, "Hey, Jason, would you mind if you
00:21:29
sent me that screenshot of this?" Sure, Cheryl. >> Like, they don't do that kind of thing.
00:21:33
Honestly, since co it was like when we had real live technology in your house live presentations, those were that was
00:21:41
like a an era and then after co we got these like produced things. That's a this new era that we're in and they're
00:21:48
trying to make this produced era of presentations feel kind of real again by having unscripted moments or like long
00:21:56
one takes or Carl Pay just like not blinking for five minutes or whatever they got to do to make it feel like a
00:22:02
person. Yeah, that >> well and also because the the general sentiment around technology is at an
00:22:06
all-time low right now. >> Like for regular people, regular people hate technology right now.
00:22:11
>> Yeah. And they're trying to put the person there. So you feel like you're
00:22:14
talking to a person instead of getting a tech demo at IO, which is a giant AI show.
00:22:19
>> Just to go on everyone, the resentment is like, have you seen all these uh
00:22:22
commencement speeches getting booed? >> Yeah. Getting booed like at all the got
00:22:27
booed like crazy. Yeah. >> There's been like multiples of them in the last week. So
00:22:31
>> Yeah. You're going to speak to a bunch of students who are graduating like
00:22:35
metriculating into the next part of their life and you're going to talk about agentic force. It's like what's
00:22:40
wrong with you? >> That's insane to choose to talk. >> Yeah. It's a little it's a little
00:22:45
>> that. But so I think I missed this photo you're about to talk about.
00:22:50
>> Oh, really? >> Yeah. Yeah. I haven't seen it, so I'm excited.
00:22:52
>> You haven't seen it before and after? >> I have not seen. >> I tweeted it. I tweeted it. I'll show
00:22:56
you in. >> Okay. So, most of the features they released at the Android show were
00:23:00
actually pretty cool. like they had the um they have the widgets that you can just generate on in in an instant and
00:23:06
kind of create whatever you want. >> But one of them was basically the same
00:23:10
thing as this Sony thing except it was like now you can take any social media like photo or video and instantly make
00:23:17
it look better with like this new Google feature which I thought is I thought we've had auto mode for like a really
00:23:24
really long time so I'm surprised that they considered this like new and better.
00:23:27
>> Mhm. But they took a photo that looked pretty decently well exposed. Like maybe
00:23:31
it was slightly underexposed a little bit and then they did the exact same thing that Sony did where they just like
00:23:37
made it way brighter. Uh softened it and that was kind of it. Like they dragged the exposure slider up a little bit but
00:23:45
they also jack jacked up the shadows and pulled down the highlights. And it's
00:23:48
like >> it would be a prime r candidate. >> Yeah. And she's like, "It's so awesome
00:23:54
because you can take a photo that looked like this and it's like a normal looking
00:23:57
picture." Like I would pref I would that would be a fine photo in my opinion to
00:24:01
this and like the resulting photo is just so bad looking. >> Yeah. Now the thing is we know that
00:24:08
people prefer brighter photos especially in this before and after context where if you just had that original photo
00:24:14
they'd go, "Oh yeah, it looks fine." But for some reason, regular people look at
00:24:19
their before and then look at the after and go, "Oh, the after is better. It's
00:24:22
brighter. I can see more things. Therefore, it's a better photo." And we
00:24:26
haven't been able to escape this. So, these companies just keep seeing that response that people have and just keep
00:24:32
doing what people keep rewarding, which is making the photo brighter, seeing more in the shadows, seeing more in the
00:24:37
highlights, and that's the result. I have a theory that that people who are not like art like are not creative
00:24:44
people who are not artists, they don't have taste, but they like things that
00:24:48
are bad >> because their taste is associated >> I was going a different way.
00:24:54
>> What do you think? >> I thought you were going to say they have no taste, so they just try to
00:24:57
execute the technically better thing even though it's taste. >> No, I just like David telling them their
00:25:02
taste sucks. >> But you said they don't have like things that are bad,
00:25:05
>> but they like things that are bad. Well, you know how you know how over time when
00:25:10
you get better at something things that you you used to like look at and aspire for you're like eventually like h
00:25:15
actually that wasn't that good and like your your taste kind of moves upwards.
00:25:18
>> Yes. >> And you you move around you're like oh now I'm interested in this like I'm
00:25:21
looking up at this and it changes. I think when you know if you're not in that specific hobby or that specific art
00:25:28
form or that niche, you don't and you don't really know what makes something
00:25:32
look good, you're gonna gravitate towards the things that you think look good at that time, right?
00:25:38
>> Yeah. >> Should we just cut this whole section? No. >> Not subjective. And
00:25:42
>> yeah, I think it's >> when I picture someone being an apple right now.
00:25:46
>> No, I think it's it's an fascinating conversation. When I picture someone
00:25:48
with no taste, I picture them not having any direction at all to what they tend to pick. But I think what happens is
00:25:53
regular people just see brighter as better. The same way that people hear louder as higher quality. It's just sort
00:26:00
of default. It's a default that humans tend to just >> just do that. And so now it's they don't
00:26:06
have taste, but that's the one thing that they understand is better. >> Right.
00:26:09
>> Also, if like I think for a lot of people, they're not even looking at the
00:26:12
quality of their photo and they just don't want the auto camera settings to fail ever. Like the idea that like every
00:26:18
single picture comes out usable to some degree I think is like a >> Yeah, for sure.
00:26:23
>> I think it goes all the way back. We, you know, we big circled this into David
00:26:29
said most people are looking at these as tools. These are tools. The brighter photo shows more information. The louder
00:26:33
thing I might be able to hear more of. And most people care about it as tools because they don't
00:26:38
>> mind that it's like a beautiful photo you might hang. They mind that it's a
00:26:43
photo that they can see their kid having fun on the playground. >> Yeah. And to play devil's advocate for
00:26:47
the for the terrible HDR photo that we get from the before and after, >> it is easier for most people to turn the
00:26:53
after into what they want than the before. >> Does that make sense? I can turn up
00:26:58
contrast, bring the shadows back down, and like make it a regular looking photo out of the insane looking thing more
00:27:06
easily than someone looking at the original, turning it into something that they think looks good and bright.
00:27:10
>> Depends on how compressed they make it though. >> Definitely. But like in general like
00:27:14
people don't know how to make edit good photos. >> That's fair. >> So it's easier to just give them a a
00:27:20
flat bright thing and be like, "Oh, okay." Yeah. Oh, David says I should
00:27:23
have more shadows. I can hear. Turn it down. Now there's shadows. >> I want to make one more analogy.
00:27:27
>> Yeah. >> You know, you know live love core stuff. >> Yes. >> Like that you'd buy at like Marshalls or
00:27:34
HomeGoods. >> Homegoods or any cheap Airbnb you've ever been in? >> Every time.
00:27:38
>> David, you came back with some heat this week. >> I'm sorry. >> We're going after Airbnb. All I'm saying
00:27:42
is like actual like interior designers would never use that. >> Interesting.
00:27:47
>> I don't know. This is a this could be a whole >> I'm trying I'm thinking of it as like
00:27:51
Yeah. It's like lines on a on a graph. Like no taste is just no correlation at
00:27:56
all. It's just a blob. >> But you're saying because they're being
00:27:58
gravitated, >> but people are gravitating towards something. Yeah. >> Yeah.
00:28:02
>> So it's it's it's more than just no taste. It's like some weird uh universal
00:28:08
constant that we all enjoy. It's >> I don't I mean Yeah, you enjoy it until
00:28:12
you realize how bad it is. >> Yeah. Yeah. And then you're gravitated towards something else after that.
00:28:16
Exactly. >> It's the first step. Maybe it's like a step. >> Yeah, it is. I think it is kind of a
00:28:20
ladder. I don't know. Anyway, >> the taste ladder. >> The taste ladder.
00:28:24
>> I just I just don't understand why Google is is positioning this as like a
00:28:28
brand new like technological advancement thing. It's like it's literally just
00:28:32
they hit the auto button. >> Yeah. >> Which has existed for like 25 years.
00:28:37
Like I don't >> Yeah, but they're all AI now. They all have to think.
00:28:40
>> Sure. I I don't >> It's the artificial intelligence auto button.
00:28:44
>> It's so weird. >> Yeah, >> it's so weird. Anyway, I just go try out
00:28:48
like the Leica Xiaomi phone or something and you will see what a what a good smartphone camera is.
00:28:54
>> It just comes back to what we were saying before. Most of these >> if it needs a smoke.
00:28:58
>> Really, >> people just use these as tools. Like, >> yeah, >> we care about getting a good picture.
00:29:05
Most people want to capture the memory. Well, that's ironic because the number
00:29:09
one seller of smartphones has always been the camera. >> Yeah. But not because they want to post
00:29:14
it on Instagram because they want to look at it in 12 years and be like, "Look at what my nephew was doing."
00:29:19
>> It is funny though because these events are pointing towards people like us who
00:29:24
are judging the cameras based on taking a nice photo. So for the people >> That's true.
00:29:28
>> that works for them aren't watching the Android show. The people who watch the
00:29:32
Android show think this sucks. >> That's true. There's a there's a good
00:29:34
amount of comments of people being like, "Oo, tech reviewers are so out of touch.
00:29:38
They always want this, that, and the other." But really, regular people just
00:29:40
want like to zoom in to 50x and capture their kid on a stage in kindergarten being a pumpkin for Halloween. Like,
00:29:48
that's as long as you can get that and it's clear, it's like great. That's a
00:29:51
win. It's like a screwdriver, not a brush, you know? >> I think I think it's beyond like people
00:29:56
not having taste. I just think most people don't think critically and don't
00:30:00
care, >> you know, about how things like look or feel. Like remember like >> you know this is this is the country
00:30:06
where we have about the same number of strip malls as schools you know like we're not thinking too deep about our
00:30:12
surroundings. >> Yeah. There's way more places that I could shop at. Why are do we have this
00:30:16
many schools? >> Yeah. Exactly. You know we're like why should anyone need to like you know
00:30:21
>> my fourth homes. >> I haven't been to a school in forever. >> Don't anymore.
00:30:26
>> Only like 10% of the population uses schools. >> Do you think there's more babies than
00:30:31
not babies? Yeah. Why do we have those things? >> I read a stat last week that there's
00:30:36
like a quarter of the amount of people there's rats in New York City. Like there's a quarter. Yeah. Wait, what?
00:30:41
>> Wait, hold on. I don't understand. >> You're saying there's four times as many
00:30:44
rats in New York City. >> One quarter as many quarter of a rat. >> There's one rat for every four people.
00:30:50
>> There's one rat for every >> Yeah, one rat. Isn't that That's like
00:30:53
>> That's a lot of rats. >> One rat for per four person people. >> So, there's a 25% chance you have a rat
00:30:59
following you. There's a 25% chance you are a rat. >> All right. >> Men in black.
00:31:05
>> My face just comes off and it's a rat. >> Yeah. Anyway, I understand these are
00:31:09
tools and brighter people think is better. And it's the same reason why, you know, Apple can be like, "Oh, we are
00:31:16
using pixel binning now." And so it's the same resol, it's like the same
00:31:19
quality even though you're they're getting less light per pixel. And then
00:31:24
dumb dumb asses like me will be like, "Well, technically um the photo site is
00:31:29
quite a bit smaller." And so the quality of the photo site is and my uncle or my
00:31:34
I don't even have an uncle. My freaking I don't know. My grandma, she's dead. My
00:31:39
mom my mom will be like, I just want to zoom in at 50x. >> Yeah. >> And that's all she wants to do.
00:31:45
>> Yeah. That'll Yeah. Like when we when we see Samsung's space zoom and the first
00:31:50
thing we do is go 50x photos look bad and then regular people see the commercial and they're like finally I
00:31:56
can zoom into 50x and get that picture of that sign or that random stage performance for my kid that I was trying
00:32:02
to get a picture of. >> Exactly. >> Or like I'm in the crowd at the baseball
00:32:05
game and I can zoom all the way in on their face for some reason. >> Yeah, that's fair. Like the default is
00:32:10
going to be the one that most people use and then the specialized tools are in the marketplace of ideas. That's fair. I
00:32:16
do think Apple has a real opportunity to release like a pro camera app for themselves because they're really
00:32:22
getting their lunch eaten and they have the opportunity to Sherlock like never before.
00:32:27
>> So, we'll see if that happens. >> True. Anyway, >> I said I was going to have a
00:32:33
generational crash out. So, you can't >> Well, you told most people they have no
00:32:36
taste. So, I think check the box. >> Okay. By most people, yeah, I do mean
00:32:41
most people. I I mean, >> no one listening to this though. Everyone here. >> All of you guys are good though.
00:32:46
Yeah, I'm going to seem like such a in this episode. >> Now, we have to establish that we are
00:32:51
better than the average person like you >> by getting zero trivia questions
00:32:55
correct. >> If I threw a Frisbee, you'd probably think, "Oh my god, his form is
00:33:00
>> No, no, no, no. I would never judge a That's a perfect analogy actually
00:33:04
because I know that you're not a Frisbee player." Yeah. It's like a photographer
00:33:08
judging a random person's photo. I'm not going to jud you're a random person. I
00:33:11
wouldn't judge but another photographer, >> right? Like if if you were on a frisbee
00:33:16
team, >> I would judge your form. >> That's the analogy. >> It can bite you in the ass, man. There
00:33:20
are so many warm-ups where I was like, >> "Is that how that guy throws a forehand?
00:33:24
I'm going to tool him and get whooped by them on the field later." I thought that
00:33:28
about so many people that are now really good friends and crush me out. >> But that's a good analogy because Google
00:33:33
is basically the other photographer and Sony >> and that's why we're we're like
00:33:39
>> they should know better. >> We're just disappointed. I think in this
00:33:42
analogy, Google makes the Frisbee. >> We're so deep down this rabbit hole.
00:33:49
>> It's called an ultraar actually. >> Yeah. But I'm saying the tool is being
00:33:55
used differently. >> Oh, so they made a bad product. >> So they made a disc that flies slightly
00:34:00
differently. And us pro throwers are like, "Ah, this turns way too fast or this is like hanging in the air too
00:34:07
long." But regular people are like, "It floats forever. This is great." Oh yeah,
00:34:11
>> that's that's good. So yeah, anyway, that's good. Let the tools do the tool
00:34:15
thing. Okay, but there should always be Pro Tools. >> Okay, >> I haven't experienced the new soundboard
00:34:20
yet. >> It's pretty good. >> Great. >> Um, Gro contacts, please.
00:34:24
>> And with that note, >> And with that note, >> I think we should uh we should take a
00:34:28
quick break. >> Let the steam out of our ears a little bit. But before that,
00:34:32
>> subscribe and Google IO next. And before that, and after that, >> let's do trivia.
00:34:38
Yeah, this is going to be an episode for sure. >> It's already like 98 degrees in here.
00:34:45
>> I still can't remember when I said that. >> Do it again. Can you do that again?
00:34:49
>> It's the waveform bros. >> Why did I say it last? >> It's funny that I know that that's
00:34:55
Marquez cuz I've heard that impression before. But >> but like was I responding to something
00:34:59
waveform bros? >> Was I imitating something? I don't know why I said that or said it like that.
00:35:04
>> He probably remember said it when we weren't here. No, he I was here for
00:35:08
sure. >> And we also have this one. >> That could have been any of us.
00:35:14
>> Today's question is Rachel, Mimi, Robin, and Shakira are all code names for what
00:35:23
line of smartphones? >> Rachel, Robin, Mimi, Shakira. >> Shakira. >> Shakira.
00:35:30
>> Shakira. >> Shakira. Shakira. >> Shakira. Shakira. really know
00:35:37
>> the hips. >> Interesting. Okay, >> don't lie, Marz. >> Well, think about it. I
00:35:42
>> Shakira is so good. >> I have no idea about this. >> The Zootopia songs are
00:35:46
>> What do you think about like Oh, this this is like a smartphone whose code
00:35:49
name was Shakira. It must be really groovy. Adam, look at this phone and tell me how groovy it is.
00:35:53
>> Did you hear that um Brazil was trying to like sue her for tax fraud? >> No, it was Spain.
00:35:59
>> Spain was trying to sue her for tax fraud. She got out of it and she well
00:36:03
she acquitted herself basically and was like >> did her hips go on the stand cuz they
00:36:07
can't lie. >> Nice. All right, we really got to move on. >> D me.
00:36:19
>> Yeah, that was you. >> I don't remember that either. >> We have a lot of good ones.
00:36:22
>> So many people have already tried to skip the ad break and they're still
00:36:26
getting us yapping about things and it's not even an ad yet. Okay, we'll think
00:36:29
about it. Anthony will be at the end like usual. >> The long way >> and we'll be right back.
00:36:44
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use. Thanks. All right, welcome back. This past week was also Google IO. Now, we did talk
00:38:22
about the Android show the previous week, which was like Google took out all of the stuff that you might typically
00:38:28
expect of IO's in the past, which is like Android updates, feature updates, Android Auto, like the interesting
00:38:34
exciting stuff that's going to hit consumers and that we can actually use and review. They took that out and made
00:38:38
it a separate show a week before IO. We talked all about that. So, that what what does that leave for IO?
00:38:44
>> That leaves a lot of Gemini. Now we know that IO is a developer conference and
00:38:51
they have to talk to developers and they have to talk to the people on the bleeding edge of like using these you
00:38:56
know tools essentially Gemini and all the other things that they're we're
00:39:00
going to talk about. But uh I think as a whole this IO since it was devoid of the
00:39:05
Android stuff felt like an overwhelming amount of especially named >> AI features. And if there's one thing
00:39:14
about Google, it's that they can't help naming everything >> everything
00:39:18
>> everything that they do. So, we're going to jump into it. We can try to explain a
00:39:22
lot of this new stuff, how much of it you may end up using someday or how much of it is really technically advanced or
00:39:27
cool, but I promise you, you will not be able to keep track of how many names there are.
00:39:32
>> Yeah. I think that this IO was like the biggest example yet of the fact that
00:39:37
Google is like 3,000 companies in one. >> Yeah. Yeah. And that they just don't
00:39:41
really communicate very much cuz there's no cohesiveness or vision. It's just
00:39:45
spamming. Like it really does feel like there's nine different companies who
00:39:48
each had three ideas to present and none of them talk to each other. And honestly, some of them step on each
00:39:53
other. Totally. >> Like there's there's VO and then there's also Nana Banana and then there's also
00:39:57
this new thing that's going to generate images and videos. Like why are there
00:40:00
three? So there's a real lack of visual strategy to what's happening. >> So we'll break it down. We'll show you
00:40:06
what's new. But again, I promise >> Google Photos. It's not just Google
00:40:10
Pics. >> Google Pics. Brand new product. >> It's not Google Photos or pictures.
00:40:15
>> Yeah. >> But it will generate some of those things. >> So, I last night thoroughly watched this
00:40:21
like three times um to my own dismay. >> Oh my goodness. >> I'm so sorry. In 4x though, probably.
00:40:25
>> Uh in 2x. >> Okay. It's a little less bad. >> I tried to do 4x and I just couldn't
00:40:30
keep up. >> There's still three hours if you watched it three times. >> Yeah. the the amount of times I gave the
00:40:36
show where they said like I think they said and we're just getting started at
00:40:39
an hour and I was like what >> don't do this to me. Yeah. Well, the first time to be fair I listened to it
00:40:44
in the car at 2x and then when I got home I watched it again. Anyway, for some reason they bounced back and forth
00:40:50
between different products through the show like they would announce something like Omni and then later in the show
00:40:55
they'd talk about Omni again and then near the end they'd talk about Omni
00:40:58
again. And it felt like because they took everything out from the Android show, they had to like pad the time
00:41:03
because Google IO is always two hours. It's weird. I try to like think about
00:41:06
who's the target demographic of these presentations. And maybe it's unfair to
00:41:09
compare it to Apple, but like I think regular people watch a WWDC recap to see what interesting things are going to be
00:41:15
happening. >> Bunch of my friends watch Dubdub. I don't even I'm not even going to make an
00:41:20
IO recap because so much of this is either not going to come out or it's going to be dead in a year or it's going
00:41:25
to be really interesting and then it's going to get stepped on by some other
00:41:28
updated Google product in like 3 months. >> Yeah. >> So yeah, there's a lot of very
00:41:32
technically advanced stuff and impressive things that they got to demo. >> How much of it will actually show up?
00:41:38
Like the live docs feature was really cool. Are they going to ship it? I don't
00:41:41
know. Is it going to last? I don't know. But it was a really cool demo. So we'll
00:41:45
tell you about it. I was also very confused about who this was for because IOIO was supposed to be for developers
00:41:52
>> and I feel like a lot of this wasn't even aimed at developers. It was like
00:41:55
them showing off their dominance in web and search >> and token usage. >> Yeah.
00:41:59
>> Yeah. That was a weird flex multiple >> Sundar was just flexing constantly about
00:42:03
how many tokens they consume and then at some point he was just like a salesman and he was like if your company used
00:42:09
Gemini Flash 4.5 billion >> you would save a billion dollars. did his one stat was like
00:42:17
>> 375 people have used one trillion tokens. >> Yeah. >> Like that which
00:42:24
>> is such a weird >> also weird because flash 3.5 is more expensive
00:42:29
>> than three was. I think some of these >> 3.1 so it's like >> some of these things just felt like them
00:42:34
saying hey we are the dominant AI company. >> Yeah. >> See these big numbers.
00:42:40
>> Yeah. >> That's how you know. I will say it's interesting that it's a developer
00:42:44
conference, but in the past years they've had enough so that non-developers like people like us, like
00:42:50
the media >> can like really understand and digest and understand like how you can use this
00:42:54
in the real world. >> And this year it was it didn't feel like it was for developers really, but it
00:43:01
because it was just products that were being announced, but none of the products were things that people would
00:43:05
actually use. So, only a few of them. Or if you are like an enthu like a real enthusiast who's like, I can't wait to
00:43:11
deploy Gemini Spark to shop for me. Like there's there's a tiny fraction of
00:43:15
people who are like, "Hell yeah, this is awesome. I can't wait for it to monitor
00:43:18
the price of jeans online to automatically buy six pairs for me when it hits a certain price threshold." But
00:43:23
like that's not most of us. I remember like 8 years ago at IO, we'd all sit
00:43:27
around being like, "What are they going to name the next Android?" Yeah.
00:43:30
>> And what's the big feature or two going to be that they try to like show us is
00:43:33
awesome? What's the new Nexus phone that is going to be under our seat when we
00:43:37
the show finishes? >> When are we going to delete that chain link fence in front of this?
00:43:41
>> Never. >> Yeah. So, because they were hopping around so much throughout the show, I
00:43:46
had originally just taken a ton of notes in like a linear fashion and then I decided to order them into main chunks.
00:43:53
So, I have a models section. >> That's where you messed up. You should
00:43:56
have just asked Gemini to do it for you. >> Um, I did. >> Which one?
00:44:02
I I did have Jeff and I do this for me, but then I went through and I like Yeah,
00:44:06
I Yeah. Anyway, >> okay. So, we have a model section, we have an agentic AI section, we have a
00:44:12
retail section. >> Okay. >> We have an intelligent eyewear section which is like the glasses
00:44:16
>> app and search overhaul section. And then the little ending weird deep mind
00:44:20
thing um where we're on the foothills of the singularity apparently. Should we
00:44:24
also save the intelligent eyewear section for the end for attention like Google did?
00:44:28
>> Sure, we could do that. >> They got to that like 90 minutes into IO. Yeah, which is crazy.
00:44:32
>> Yeah. All right. Well, we'll start with the models. Uh, new models obviously
00:44:36
Gemini 3.5 Flash and there will be a 3.5 Pro coming in a month apparently. Um, I
00:44:42
don't know why it's taken so long to roll that out. That's kind of weird.
00:44:45
Google claims that Flash is four times faster in out output tokens per second than existing Frontier models and
00:44:51
outperforms Gemini 3.1 Pro on key benchmarks, which is impressive if that's true.
00:44:57
>> I want to be like the regular person translator for these. Yeah, do it.
00:45:01
>> I think that that essentially would mean for the super quick queries that you're
00:45:05
going to IO to AI for that use flash, they will be really really good because they're benchmarking as well as pro and
00:45:12
they'll be really really fast. So you don't have to wait for it to type it out
00:45:16
in several seconds of is AI going to even get this right? Ideally it's way faster and way more accurate.
00:45:21
>> Yeah, ideally. >> Yeah. To me, it also felt like Sundar was trying to get Enterprise to sign up
00:45:26
to use Gemini as their back end because Anthropic is currently making a load of money on that.
00:45:32
>> Yeah. Hey, do you make an app? Do you have like a thing that queries AI inside
00:45:36
your app? Well, make sure it's Gemini Flash because it'll be the fastest, best
00:45:40
one, best experience for your app user. >> Yeah, >> sure. >> Yeah.
00:45:44
>> Uh rolled out already. >> Yeah, it's already out. That's true.
00:45:47
Yeah. >> Yeah. Uh they also demoed the Gemini Omni World model. So, this one kind of
00:45:53
confused me a little bit. Um, what it is good at specifically is simulated physics in real world reasoning to
00:45:59
interpret combinations of text, audio, images, and video to generate realistic editable video environments. Uh, they
00:46:06
gloated a lot about how the model can do everything, but said, "For now, it's
00:46:10
only doing video." And I'm like, "Okay, it can do everything, but it can only do
00:46:16
video." >> Yeah. So my translation of this is like, hey, have you ever wanted to make an AI
00:46:22
generated video, but you wanted to use some inspiration from a photo and a video and some text that you wanted to
00:46:30
describe some extra stuff in it and some other random thing you wanted to include. Well, you can now just loop all
00:46:36
of that stuff in. It'll be one prompt and Omni will turn it into something that includes all of that stuff. Which
00:46:42
the irony of all this is that I think the hierarchy of usability and value in AI is like coding is number one, text
00:46:50
generation is probably number two. But people like AI less and less the more you get towards video, right? Like AI
00:46:57
image generation mostly bad, but you could use it for manipulation to make memes of yourself for your
00:47:03
>> rage bait. Misinformation is making a ton of money online. This is perfecto.
00:47:08
>> And then but then video like I don't really know anybody who is hyped for AI
00:47:12
video in any possible way. >> Yeah. >> In general, >> I could even like think about a couple
00:47:17
things. I could use AI generated images for like visualizing like, hey, I've got
00:47:21
this room. I want to visualize what this desk would look like in here with this wallpaper behind it. Okay, AI can help
00:47:27
me see what that looks like. >> Right. >> The video brainstorming maybe. I don't
00:47:32
feel like that's going to be very useful. >> Yeah. And they really did a lot of AI
00:47:37
videos. >> And it's the heaviest resource-wise. Like it's the most difficult to do.
00:47:41
>> Yeah. >> And it's Yeah. Yeah. >> Will Smith eating spaghetti.
00:47:45
>> Yeah. >> It's getting better. >> And they specifically were like, it's
00:47:48
it's multimodal. It can do everything. And I'm like, well, Gemini was already
00:47:52
multimodal, so why do you need to call it Gemini Omni? Why didn't they just make an update to Gemini and say we can
00:47:57
now do real world physics? >> Because they need to name everything. >> This is what we talked about.
00:48:02
>> Yeah. New Gemini Omni. The naming team needed a raisin. They went all out for
00:48:06
this. >> Yeah. Okay. So, that's it for the models. Uh there's new Agentic AI
00:48:10
updates. We have anti-gravity 2.0, which I know Adam was actually a little bit excited for. If you don't remember what
00:48:15
anti-gravity was, it's basically their coding environment, uh that has all these agentic features where you can,
00:48:21
you know, code inside of it and stuff. Um >> yeah, a lot of people were confused
00:48:25
because anti-gravity 2.0 is very much like the claw desktop app basically or like Codex, I've heard. I haven't used
00:48:32
codeex but similar to that where it's just like a chat or whatever. Yeah, they
00:48:35
still have the IDE. >> So anti-gravity was their IDE but I don't know what got lost in translation.
00:48:43
I don't know why they named it the same thing. So this new thing now is anti-gravity that you talk to Gemini and
00:48:49
it'll like do the things. But if you want to open up the code and look at it
00:48:52
with a real proper file structure and everything, you need to also download the anti-gravity IDE which is a
00:48:58
completely separate thing. And I don't know how much longer that's going to be
00:49:00
around. I don't I don't know. It's very confusing. >> It looked I know. It looked a lot like a
00:49:05
general like a regular Gemini app. >> Like I >> It's strange. Anyway, uh it's for
00:49:11
developers. >> Wait, can I just Sorry. >> Yeah, go for it. >> So, if you're using anti-gravity 2.0 to
00:49:17
make something, but you want to make sure you want to look deeper, you have to open up anti-gravity.
00:49:22
>> Well, so anti-gravity, if you if you tell it to build the thing, it will do
00:49:27
it. And then it'll be like you can click here to look at the code and it'll pop
00:49:30
up a little side window and preview like the actual code. You can scroll through
00:49:33
it, whatever. But that's not typically how people build things. They have an
00:49:37
editor for that. So anti-gravity I believe was it's very similar to VS Code, which is a very popular one open
00:49:44
like whatever, but that's a separate app entirely now on on >> the computer.
00:49:50
>> I think if you want to know if the Google teams talk to each other, there's
00:49:53
your proof that they don't talk to each It did feel to me like there's one tool
00:49:57
for generating code with AI and then there's another tool with a different name for auditing your AI generated code
00:50:04
with another AI. >> But it sounds like they're the same name. >> But if Yeah. And then also like your
00:50:09
regular code. So you can audit all of your code with AI. >> AI coding sometimes makes mistakes. So
00:50:14
you need someone or something to audit mistakes so another agent can audit your code. And if that's not confusing
00:50:20
enough, there's also the anti-gravity CLI now, which is another terminal tool
00:50:26
that is replacing the Gemini CLI, which was open source, and now it's not open
00:50:31
source. So now you can control all of your agents all in one in the terminal, but you have to use their their
00:50:37
proprietary. >> That's also called anti-gravity. >> And that's also called anti-ra the
00:50:40
anti-gravity CLI. >> Jesus. Yeah. >> Yeah. It's it's going great.
00:50:43
>> Even if I was a developer, I would be really confused. Do you think anyone's
00:50:47
showed up to their first day at work at Google and they're like, "I'm on the
00:50:49
anti-gravity team and they went to the wrong building." It's like in school
00:50:52
when you sit in the wrong classroom and 20 minutes in they're reading the syllabus and you're like,
00:50:56
>> "Do I get up and leave or do I >> before for sure?" >> It's like I get that they all do
00:51:01
slightly different things, but they should be one thing. >> Should be cohesive.
00:51:06
>> Well, and the the irony of all of this is the general Gemini app can basically
00:51:10
do all of this stuff, too. Like I've even like used the Claude app on on my Mac and I've like updated my website
00:51:16
with features and stuff through Claude and you can just do it through the chat. You don't even have to use clog code,
00:51:23
but there is a cloud code. Yeah. >> So it's it's like they make all of these
00:51:27
sub products that are more optimized for the main thing, but the main model can still do all of the things
00:51:34
>> probably to like some 90s something percentile >> of the specialized tool.
00:51:38
>> Yeah. >> Yeah. >> Yeah. I don't know. Well, they were very
00:51:41
excited about anti-gravity 2.0. They built an operating system from scratch. >> Yeah.
00:51:46
>> Plugged it into everything. Like they were showing Google search things that
00:51:50
were building stuff with anti-gravity. All this stuff >> which we'll we will get to. Um but yeah,
00:51:55
they built this operating system. They said it deployed 92 sub aents over 12 hours to build an OS and that it cost
00:52:03
less than $1,000 in API credits. >> Wow. >> Um what use this has? who needs to build
00:52:10
operating systems. I'm not sure, but I guess it was more of a the scientists
00:52:15
were more interested if they could, not if they should situation. >> Yeah. Uh and then they ran Doom on it.
00:52:20
>> They could run Doom. Yay. >> So, >> look, we're relatable.
00:52:23
>> Yeah. Relatable. Okay. Gemini Spark. Uh this is basically Google's answer to
00:52:27
OpenClaw. It's a 247 cloud-based personal AI agent that runs continuously in the background. Um, it can actively
00:52:35
parse your data to give you daily digests like a child's school emails for deadlines, monitoring your credit card
00:52:40
statements, etc. Um, it's rolling out to trusted testers this week and rolling
00:52:45
out to a new $100 AI ultra plan. So, this is the other thing that they have multiple the same name for multiple
00:52:51
things. They now have three AI Ultra plans >> at three different prices >> at three different prices that are not
00:52:57
called like AI Ultra Plus or AI Ultra Ultra. They're just AI ultra, but there's the $100 one, there's the two
00:53:04
now $200 one down from 250, >> and then they have the crazy one, I think. Um, unless it's just the $200.
00:53:13
Anyway, >> so the way I'm thinking about this one for regular people, >> the open claw thing,
00:53:17
>> the Yeah, spark. Like, if you think about using AI as I do prompt, then AI
00:53:23
does thing, then I do prompt again, then AI does adjustment, then I prompt again,
00:53:27
and it's like a back and forth thing. >> Yeah. The idea of an agent is it's able
00:53:31
to go and do multiple things. It has its own agency. It has like the ability to do multiple things over time or in a row
00:53:38
or to go execute something for you >> without you having to prompt over and
00:53:42
over again. Right? >> I did find this decently useful and like and this is an example that'll come up
00:53:47
again of like I want to monitor when this thing drops below a certain price, but you'll have to check the market for
00:53:53
listings of it over and over again. Let's do this every 12 hours for the next couple weeks until we find one that
00:53:59
hits this certain price. >> Yeah, >> that that's what the agent would do. It
00:54:02
would just go, "Hey, I searched again. Here's the results. Hey, I searched
00:54:05
again. Here's the one that actually hit your price threshold." Yeah. >> So, it's instead of you searching over
00:54:09
and over through the agent, it does it >> with agency. >> Yeah. Yeah. And like Spark,
00:54:14
>> all of these AI companies have come up with sort of an open claw competitor.
00:54:18
Like Claude now has one that can do it for you. Mhm. >> Um, one of my friends, they lost a bunch
00:54:23
of data on their hard drive. And so they were using a recovery tool, but the recovery tool estimated like 800 hours
00:54:28
to like recover the data. So he set it up so that the agent would check his computer and check on the progress of it
00:54:34
like every once like one day and send him an update. >> So there are like some uses there. Um,
00:54:40
>> I will say the daily digest I'm actually pretty excited about because I've been
00:54:43
getting like the beta one that gets like emailed to you in the morning. >> So bad.
00:54:47
>> Really? I found it pretty helpful. I like the formatting of it, but the
00:54:51
contents of it are useless to me. >> Oh, mine is the opposite. I hate the formatting of it, but I've actually
00:54:56
found a couple subscriptions that were like, "Oh, yeah, I do have to cancel
00:54:59
that free trial." You know, like it reminds you of things like that. >> I think potentially I've connected it to
00:55:03
too many services cuz it'll just be filled up with like a bunch of people left comments on your Google Docs and
00:55:09
I'm like, I already know that. Like, I haven't marked them as resolved cuz I
00:55:12
need to read them later. And so, it's just telling me a bunch of things I already knew. It's like, here's what's
00:55:15
on your calendar. Well, yeah, I got a notification. So, I have the calendar why the calendar notifies me.
00:55:20
>> But yeah, maybe I can fine-tune it a little bit. >> Yeah, >> it's fine. It's totally worth a trillion
00:55:25
dollars of investment. >> Why don't you get an agent to finetune it? >> I'll deploy Gemini Spark, deploy 92 to
00:55:32
finetune it. >> Uh that's coming to the Mac desktop app later this summer for local file
00:55:36
automation. So, it'll be able to like actually touch your computer because right now it can only do things like on
00:55:41
the web. So, >> okay. Um three is retail. This is a grouped a grouped thing for universal
00:55:48
cart and AP2. So this universal cart thing is is kind of interesting. Clearly Google has been trying to make Google
00:55:54
shopping happen for like 12 years now, 15 years now where they just they really really see all the money that Amazon's
00:56:02
making and they're like we could have some of that. >> They want to be a trusted retailer so
00:56:05
bad. >> So bad. So and then they saw what Tik Tok was doing with Tik Tok shop. up. And
00:56:10
so now if you look at YouTube and you go to like, you know, anybody's YouTube
00:56:13
video that has a a product placement, they now have right below the video like you can buy this and you can click on
00:56:19
it, you can go to it and buy it, whatever. Probably not enough people use that that they want to use it. So they
00:56:25
created this thing called universal cart. Um, which basically across Google search, Gemini, YouTube, and Gmail. You
00:56:33
can add things to your cart. you can click on a thing and say you're interested in it, but when it drops
00:56:39
below a certain price, you're kind of interested in it and it connects to your
00:56:42
Google wallet. So now as well, if it knows like that you're you have a certain credit card and that certain
00:56:48
credit card gets certain cash back at certain stores, >> it will be like, "Oh, when you go to pay
00:56:54
for this, you should use your Target card because it's at Target and you get
00:56:57
5% off at Target or something like that. You get cash back, whatever." Um, I really really think Google is just
00:57:03
trying to find more revenue sources because by making Gemini and making all this automation stuff, they are taking
00:57:09
away from search ads. So, they just they're slowly trying to they're like,
00:57:14
"We're going to get ahead in the AI thing, even though it's taking away from
00:57:17
our main business, but we need to figure out ways to make money from it if we're
00:57:22
going to own it." >> Yeah. >> Yeah. So, it's kind of interesting, but
00:57:27
I remember seeing the study where there was a bunch of uh they tested a bunch of
00:57:31
these different models at how good is it at actually suggesting me like the right
00:57:36
flights, the right hotel reservations, whatever. If you were just to say like make me this trip
00:57:42
>> classic. >> And like 90% of the time it gave the users like one of the more expensive
00:57:47
options for the hotel, for the flight, all these things. >> So classic. And so Google can now go to
00:57:52
you know retailers and advertisers and they can say hey look we can slow slowly sort of like suggest these products
00:58:00
towards these users >> and kind of the overall the overarching theme for IO this year is just like
00:58:07
trust us more and more and more bro >> which makes me trust you less and less
00:58:11
and less. >> Yeah. >> Yeah. Because all I see with all of this is I think you guys mentioned it on an
00:58:15
episode I wasn't here is like the new version of SEO because all of this is just going to lead into a different way
00:58:21
that big companies can pay to be better results inside of AI. >> Exactly. >> That is 1,000% where it's going. No
00:58:27
matter what you say, that's how it's going to work. >> Yeah. >> That's how people are going to make
00:58:31
money on it. >> Google is just like, "Oh, just don't make your own decisions. Like, let AI
00:58:35
make all the decisions for you." And then they're going to advertisers and
00:58:37
they're saying, "Now that everyone just trusts us, we can just suggest your
00:58:41
products." Yeah, they don't even >> It points pretty directly to the direct
00:58:45
trade-off between privacy and convenience because and this is also a shout out to Joanna's book, which we'll
00:58:51
you'll you'll hear about that probably on an upcoming bonus episode, but like
00:58:54
if you just give your life to the AI, you just go, "All right, you know everything about me, Google. It's kind
00:59:00
of a privacy nightmare, but you have everything about me now." That is the best case scenario for actually getting
00:59:06
the results that are most applicable to you. And so when you ask for it, yes, it
00:59:10
will be skewed, but it will be skewed based on what it knows about you. And theoretically, it'll give you better
00:59:15
products to buy or more useful suggestions based on it knows about your car, your house, or whatever already.
00:59:22
>> And so if you do decide to just give it all to the AI, then that will be your
00:59:26
win. But not everybody wants to do that. And obviously that's the trade-off that
00:59:30
they're trying to convince you to make. It's why a lot of people like keep the
00:59:34
Instagram ad tracking on because they'll say like, "Oh, I actually like it
00:59:37
because it gives me relevant products and I'd rather have relevant products than, you know,
00:59:42
>> turn it off." >> The lingerie that I get. >> There's literally no reason to have that
00:59:46
on. >> Wrong. I've gotten so many good products. >> People want to get I told you there's a
00:59:52
divide. >> Some people actually do want to buy stuff from Instagram. >> It's not that I want to buy stuff from
00:59:56
Instagram. It's that it shows me brands from smaller brands like that aren't
01:00:00
just like Amazon or Sheen, you know? Like I find actual stores from Brooklyn or something cuz they're using targeted
01:00:05
ads. It's good for small businesses. It's bad for me, but it's good for small
01:00:09
businesses. >> That's That's Facebook. >> Bad argument. Bad take. Bad argument. Do
01:00:14
not turn on app tracking for the sake of helping small businesses. That is ridiculous.
01:00:19
>> That was turn helping small businesses by by letting one of the largest
01:00:24
companies in the world sell your data. Are you serious, bro? >> How else are you going to find The small
01:00:27
business has been spending money desperately trying to find good customers and this is the way they
01:00:33
actually >> No, I'm not I'm not accepting any of these. >> I only make money
01:00:38
jersey. I sold it. >> I know a few people who like use meta advertising and they're literally like
01:00:44
you put in $10 and $30 pops out. >> So clearly there it works. >> There's a lot of wrong with Meta,
01:00:51
but that product is a money fountain. There's a reason Meta is a giant giant
01:00:56
giant corporation and that small like everyone uses it. I don't think that you
01:01:00
know only small business whatever but if you are a small business and you put $10
01:01:03
in and $30 pops out. I mean >> unrelated and related they're doing a ton of layoffs today. So clearly this is
01:01:11
not great timing for any of this meta stuff but they laid off like 10,000 people this week
01:01:17
>> again. >> Yeah. >> 8,000. Yeah. >> Oh my god. Okay. Well, that's great. Uh
01:01:22
AI. Okay. The other thing in retail is there is now this thing called AP2 which is agent payments protocol
01:01:29
>> and uh basically Google is scared that the agents are going to hallucinate with
01:01:33
your credit card information. That's what they are terrified about there because they you know they they want you
01:01:38
to be able to tell your agent like oh if this brand like if this shirt from this
01:01:43
brand goes on sale can you just buy it for me? Mhm. >> Which is kind of crazy to think about
01:01:48
like >> that an something could just agentically like shop shop for you without you
01:01:53
having like discreet input. It's kind of close to what someone so like an ultra
01:01:58
rich person who has like a personal assistant. >> Yeah. >> They'd be like
01:02:01
>> I mean you'd be too rich to do this but you'd be like when it hits a certain
01:02:04
price >> just buy it for me. >> Right. >> But we don't have personal assistants.
01:02:09
But it's like oh yeah now my phone is a personal assistant. I'll just have it
01:02:12
wait on something for me and it has infinite capability of waiting and finding the right thing and then it just
01:02:17
does it. >> It's the weird thing of AI where it's like that is a totally reasonable thing
01:02:21
to ask but at the same time weird robot internet has my credit card number like I like both of these things are true and
01:02:29
I'm terrified of >> well it's kind of the next do you remember Amazon Dash buttons?
01:02:33
>> Yes. >> Yeah. >> Yeah. So, for the young the youngans out there, Amazon used to like give you for
01:02:40
$5 you could buy this Amazon Dash button, then they give you a $5 credit and it was a button that you could
01:02:44
assign to any product on Amazon. So, when you hit it, it ordered it for you. >> It was like if you put it by where you
01:02:50
keep your paper towels, like something that you restock a lot on. So, like every time my paper towels are almost
01:02:54
up, I just press it. They're going to come to my door. >> Tide pods. Tide pods. So, like what
01:02:59
Samsung and all these companies have wanted to do forever is put cameras in your fridge so it automatically does
01:03:04
this for you, right? That's like cuz these companies, they're like, "Oh, if
01:03:07
people bought things as soon as they ran out of them every single time and they bought the same thing over and over and
01:03:12
over again, we could make more money because it's more purchases per hour, >> right? So, that's what Google's trying
01:03:17
to do here. They're trying to make it like, oh, you're because all these ad
01:03:20
companies, the main problem that they have with like the Facebook pixel, all this stuff. They they see that you're
01:03:26
interested in something because you interacted with it, but actually getting you to make that payment and actually go
01:03:32
through with the purchase is the hardest part of the whole thing. Yeah. >> And so Google's like, "Well, what would
01:03:38
it take for you to buy this? Would it take as frictionless as possible? >> Would it take a $20 discount? What if it
01:03:43
got to a $20 discount? Would you definitely buy it? Can I just do it for you?" Like,
01:03:48
>> yeah. So, that's >> that's a really good point. I feel like
01:03:50
there's so many times where I have something in my cart and I almost buy it and it's like,
01:03:53
>> no, not right now. But the the there's way less commitment of being like, well,
01:03:58
you know, like if you found this thing later and then it's just going to show
01:04:02
up at my door. Like, chances are if that's what I was thinking in my head, I
01:04:05
would go back to that in two weeks, probably get to the same point, be like, I don't really need this.
01:04:09
>> Yeah, exactly. >> Google's trying to get past the you don't really need this. And that's
01:04:13
something that Meta doesn't have cuz the the only thing Meta really has is when
01:04:16
you like hover over something for too long, it'll just keep showing you the ad
01:04:20
like more and more often, you know? >> Uh anyway, this agent pay payments protocol, it's basically just a protocol
01:04:26
that's helping agents shop for you, but making sure that they don't pass any
01:04:31
weird boundaries and buy things that you don't want. Um, I think this is kind of
01:04:35
just security for them to get advertisers to actually advertise to with them and for them to be like,
01:04:42
"Don't worry, we won't make users return a ton of stuff." >> This has the potential to really screw
01:04:48
up some smaller businesses who might have a bunch of accidental purchases that then have to be returned and maybe
01:04:54
can't be put back on shelves or have like >> Yeah. lots of accidental accidental purchases
01:05:00
that could create waste and kind of screw over a small warehouse. >> Yeah, because if you have returns and
01:05:05
then it's worth nothing and yeah, so it's a whole thing. >> All right, number four. App and search
01:05:09
overhauls. Um, search AI mode got an upgrade to Gemini 3.5 queries that are at an all-time high because users are
01:05:18
now treating search like a conversational partner apparently. >> Uh, allegedly.
01:05:22
>> Allegedly. Uh, Sundar did say that like now people are putting more natural language into
01:05:28
Google search which I have actually found myself doing >> because it used to be that we we knew
01:05:34
the language of SEO. >> Everybody under a certain age grew up learning how to Google something. Yeah.
01:05:40
Whether you had a class in it or you learned some internet literacy somewhere or from someone you know. So you have to
01:05:46
know what words to type into Google to find what you're looking for. And then
01:05:48
also like how to exclude certain phrases or like put things in quotes to find like things together.
01:05:53
That's like a that's like a skill that we all learned >> that under a certain age people have not
01:05:59
had to learn that because they either just go straight to an AI agent or an AI and just type it in in natural language
01:06:06
and it finds it for them. And so now, yeah, there's this like blurred line of
01:06:10
people who grew up not learning how to Google things, but then they just use natural language in Google and it kind
01:06:14
of works. It kind of works in AI mode anyway and it's fine. It didn't used to
01:06:18
work at all and now you can you can do that and it'll automatically do AI mode
01:06:22
and you can just keep talking to it. Yeah. >> Anecdotally speaking, I've been using
01:06:26
that a lot more just because the regular SEO speak that I grew up using doesn't
01:06:29
work anymore. >> That's true. >> So, I've just been like trying to get
01:06:33
something. So, I'm like, "Okay, let me just ask it the way I would normally ask
01:06:35
something." >> Yeah. What's crazy now, though, is that Google Search now has dynamic layouts uh
01:06:41
which can code custom visuals for you on the fly. And it can also build sharable
01:06:46
mini apps like a weekend planner itinerary. So how this was shown off was basically I think it was Josh Woodward
01:06:53
that did this, but he was like, "Oh, I want to do like this weekend thing with
01:06:56
my kids and my wife, but I'm not really sure what to do. Like can you suggest me
01:07:01
things to do?" And so it builds this little mini app inside of the Google search window that shows the weather. It
01:07:07
shows like suggested locations. It shows like dinner places they can go to and stuff like that. and you can talk to
01:07:14
Google search to sort of modify it and it will it will change the code of the app in real time and you can share that
01:07:21
with whoever. >> Um, which a part of this for me it was like man people really want to offload
01:07:27
every decision they've ever had. >> I I just like the idea of then your like wife comes over like oh
01:07:34
did you figure out what we're going to do this weekend? No, not yet. But check
01:07:37
out this app that's trying to figure out what we're going to do. It's like if you
01:07:40
have a dog and like your dog is like can't stop throwing up and so you take your dog to the vet and then you come to
01:07:46
pick it up later and you're like, "So, is my dog going to keep throwing up? Did
01:07:49
you fix that?" The vet's like, "I didn't fix that." But your dog is literally a
01:07:51
transformer now. It's like this I still have a puking shiny fur is. >> That's how I feel about Google search.
01:07:57
>> Yeah. Yeah. It's strange. >> I've Google searched so many things
01:08:00
during this show and the AI review has been wrong about every single one of them. And I'm just like I'm so sick of
01:08:05
this. Please do not build me apps. Please just serve me relevant information. >> Yeah, I mean it's funny that we like
01:08:14
remember when they added in the suggested snippets where it would like give you the answer within Google search
01:08:20
and people freaked out because they're like people aren't going to links any if
01:08:22
you do this. People won't go to the links. And now they're like if a kid
01:08:25
searches how does a black hole work, it'll just generate an animation on the
01:08:29
fly of a black hole colliding with another black hole. >> Yeah. which is on one hand on one hand
01:08:36
it's way worse the all the sources don't get any traffic all of the people who
01:08:40
worked really hard on all the information and research that made that possible don't get any credit
01:08:44
>> but on the other hand >> yeah it's cool >> that kid just got an instant like
01:08:48
>> animation >> explainer >> if it's if it's correct >> if it's correct
01:08:53
>> that also confused me though because they said they would build it every time
01:08:56
on the fly yeah >> there has to be some sort of like that's a pretty normal question
01:09:01
>> well it's based on your specific speific query. >> But like let's say your query is how
01:09:05
does a black hole work? >> Yeah, there's more than one pe one person searching that every day. Like
01:09:10
why are you rebuilding that every time? That has to be wasteful. Like why not just
01:09:14
>> I think that's probably true, but there's there's such a long tale of
01:09:18
unique Google searches every single day. I think what they're thinking is in in
01:09:21
such a specific query which is like how what would it look like if a black hole the size of a a peanut collided with
01:09:28
Manhattan? And it's like boom, here's a simulation of that. Which I don't know,
01:09:33
maybe three people Google that every day. I don't know like how many people say that, but there's like a ton of
01:09:37
unique versions of that question that it can build a tailored animation just to help you with cuz they have TPUs.
01:09:42
>> I've been trying to Google what is the largest US data center by power
01:09:48
consumption, like by megawws. And it gave me a list, right, which seems like it's fine. The top five answers are
01:09:53
hallucinations on the list. >> So, I was just like, what's the point of
01:09:57
this? I think these are more in like longer wellestablished like if I this is something I found too like when you ask
01:10:02
questions to Google about like current events or recent information or recently updated things it gets it wrong all of
01:10:08
the time. Yeah. >> But if you ask it something about like a 10-year-old science theory or like like
01:10:13
an animal that everyone's been writing books about or something that's not like
01:10:16
current events are brand new then you'll get stuff that's pretty locks like
01:10:21
locked in like rock solid >> right? >> So it's it's the black hole stuff I
01:10:26
guess. >> Yeah it is. It is strange. It feels like Google search is they're kind of just
01:10:29
trying to nudge people towards the process of using a Gemini search chat, like a Gemini chat as opposed to
01:10:36
searching things anymore. So, >> um, okay. Google AI Studio. Now you can build full Android apps from scratch
01:10:44
with a prompt and you can publish them directly to the Play Store, which means we're going to get a lot of slop apps
01:10:49
that are terrible. >> Apps, here they come. >> So many. Next IO, they're going to brag
01:10:53
about how many new apps were created. >> Guarantee it. This is so bad. Like they
01:10:59
should not let you publish these to the Play Store. >> Well, yeah. Will they meet a bar of
01:11:02
being approved? Cuz Google has a famously lower bar of being approved. Apple, it'll be like, "Oh, yeah, you can
01:11:07
use code to make apps." But it's not like I hit a button and it generates an
01:11:10
app from scratch and then I submit it and it's in the store already. Like there's at least some threshold or
01:11:14
quality. >> Yeah. But does that mean they're going to have to hire like 50 times as many
01:11:18
approvers? >> Yeah. Yeah. Yes, it does. Yeah. They're just going to have one. Oh, true.
01:11:24
That's true. Hey, Gemini. Is this good enough? You made it. >> Also, I tried this yesterday and it did
01:11:29
not work. >> Really? >> Yeah. I mean, the app that's on your Android phone is not out yet,
01:11:34
>> but they have like a web version of the AI Studio thing and it just like wasn't
01:11:39
wasn't doing the thing. Cool. >> What was the app you tried to make? >> Um, I forgot. Wait, let me look it up.
01:11:44
The thing >> people really have this many app ideas all the time. >> Well, okay. Well, mine was a dumb idea.
01:11:50
>> Well, I Yeah, I don't can't even think of a cool dumb idea right now. I think
01:11:55
that what a lot of people might do in the future is like there are a lot of apps that are paywalled and if you're
01:12:01
just like I want a calorie tracker app. >> So stealing. >> Yeah. That's what all this is. It's all
01:12:07
stealing. >> It's all stealing. >> It's also people want >> a lot of people want apps that are
01:12:13
specifically tailored to them. So like there's a bunch of generic versions of
01:12:17
apps that do something. Uh, I won't say his name, but I have a teammate who's
01:12:20
like, I I want an app that can like tell me specifically if I need to wear sunscreen today. And all it does is
01:12:28
intake like how long I'm going to be outside, what the weather is, what my skin tone is, and all these other
01:12:33
things. And so just like there's no app that does that, so just build me the app
01:12:36
and then it'll just do it for you. Where you could probably find an app that does
01:12:39
like twothirds of what you're asking, but >> then is the developer going to do the
01:12:43
extra feature you want? I don't know. So just it's or maybe you want a task
01:12:47
manager app and there's a certain feature. Oh, I just want it to be like this, but also with this extra reminders
01:12:51
thing where it's geotagged and it reminds me to do something when I get to a certain place. Whatever. I want an app
01:12:55
just for me. >> Then this is your way of making an app just for you. So like why put it on the
01:13:00
Play Store? I don't know. >> But that's why I see people making apps.
01:13:04
>> Yeah, >> Adam made us local frame.io. That's just like >> video player big clock add comments
01:13:11
export comments as CSV. >> It's perfect. something that just for us, we would use it. We would never put
01:13:18
it on the Play Store or whatever, but like it's useful for us. >> I mean, one thing that's cool about
01:13:21
this, too, is that you can export the app and send it to just friends and family without putting on the Play
01:13:27
Store. >> So, I think that's a sort of interesting idea of making like family apps or
01:13:31
friends apps and stuff like that. >> Oo, a group chat. Oh, there's no bubbles. Never mind.
01:13:36
>> Wait, can we do group chat? >> Make them blue. >> Turn the bubbles.
01:13:40
>> I found my um my app idea from yesterday. Oh, >> and it also, this is a late episode. Did
01:13:46
they even test this? Because this goes back to an issue I've been having. So on
01:13:50
Fitbit, they have meditation minutes. And if you try to meditate for 10 minutes with a Pixel Watch, it'll
01:13:56
vibrate on your wrist for the entire 10 minutes so that you know to breathe along with it. It's like breathe in.
01:14:02
>> Oh my god. >> Breathe out. >> Like they got way too cute with it. I
01:14:07
just want a timer that will vibrate at the end of 10 minutes to let me know you're done.
01:14:10
>> Probably tanks the battery life, too. probably, but they don't have that. So,
01:14:14
I tried to have uh AI Studio build it for me, and instead it built me an interactive dashboard where I can play
01:14:19
with a fake Pixel Watch 3, >> which is technically really impressive, but not useful at all.
01:14:27
>> Build a timer. You said build a 10-minute timer and it said >> Yeah.
01:14:32
>> What? >> I think because I said for my Pixel Watch 3, it freaked out and it it built
01:14:36
a whole other thing. So, >> you might be on to something though with the group fitness challenges. Can we
01:14:41
finally have our own group fitness challenge? >> This is something we've wanted. Well, I
01:14:45
think we we should this is the perfect ideal for us. We should be able to build a multi-platform group fitness
01:14:51
challenges app >> that in our studio we can distribute it among us and we can use whatever
01:14:56
wearable we want. >> Yeah. >> And it'll normalize all of our stats,
01:15:01
>> calories. >> I built it. I can make it so I always be market. >> No, that's
01:15:06
I will look in your code. I will inspect your code with my agent. to find out if
01:15:10
you're cheating. Agent, look at his code. >> Yeah, >> peer review.
01:15:14
>> Anti-gravity. Look at his anti-gravity. >> Peer reviewed. >> Uh, okay. Google pics.
01:15:22
>> We referenced this at the beginning. >> What a transition. >> Can you stop Google? Can you Can you
01:15:26
stop Google photos, Google Pics, Google images? >> They literally they they showed the
01:15:30
slide. They're like, "This is Google Pics." And I was like, "Are you sure you
01:15:34
want to manage that? >> Sure. >> Why are you doing this?" Uh, this is a
01:15:37
new text and hover image editing tool. Uh, basically it's sort of similar to we
01:15:43
talked about Google books a little bit last week. How you can sort of like hover the mouse cursor over things and
01:15:47
it sort of intelligently knows what you want to do with it. >> That's not Google books. That's the
01:15:51
Google book. >> That's the right cuz Google books. >> Not to be confused with Google Books.
01:15:55
>> Yeah. Google Books. >> Kindle. Yeah. It's the Kindle thing. >> Yeah.
01:15:59
>> No, that's that's books on the Google Play Store. Google Books is the online
01:16:03
literature database. No, that's you're thinking of Google Play Books. >> Yeah. No, no. Google Play Books is the
01:16:08
book is the Kindle. >> Isn't the online database literature thing like
01:16:12
>> that's called Google Books? >> Is it? >> Yeah. >> Okay.
01:16:14
>> Then there's also Google Scholar. >> Scholar. That's what I was saying.
01:16:17
>> Google Scholar is also different. >> That's another thing. That's all the
01:16:20
papers and and research and PDFs. This is this is untenable. >> Do you know that the one it's called
01:16:26
Google get? >> All right. Anyway, uh so it's this text and hover image editing tool. Basically,
01:16:36
you take an image in and you can say like zoom out and it'll like add extra.
01:16:40
>> It's a photo editor. >> It's a photo editor. >> Why is it separate from
01:16:44
>> Why is it separate from Gemini? This is my question about every single one of
01:16:47
these products. >> Imagen is a Google DeepMind product. They're on 4 now.
01:16:52
>> Yeah. Sorry, I was making another punt because you said you can take an image
01:16:56
in and I was like is which is true. Imag is actually a separate Google product. >> Yes, correct. I
01:17:02
>> But yeah, but >> so why do they have 50 of these? >> Why is this not in Google Photos?
01:17:09
>> Why don't they just say that's the first I as we were watching it I was like so
01:17:12
is this going to be built into Google Photos or is this separate? Google Pix is separate from Google Photos which is
01:17:18
separate from Google >> or literally they can just say Gemini can now do this other thing now. Like I
01:17:22
don't understand. >> Why are they spinning them off into a ton of different products? cuz this team
01:17:27
is in a different building. >> Oh, I mean last year at IO they they announced this big product and they
01:17:32
sunset it last month. Like I I bet you within a year 80% of these are going to be shut down.
01:17:38
>> The people who make the Google logos are just like >> check finally finished my backlog and
01:17:44
then they look at the just 25 new names that pops out of Google IO and they're
01:17:48
like oh my god. >> They go to thesaurus and they look at photo and they're like what other
01:17:51
products do you use for every single thesaurus? Okay. Um, okay. They have Google Stitch and Google Flow now. They
01:17:59
already had these, I guess, but they're updated. Stitch was a website builder
01:18:03
and now it's updated and um, yeah, it can build you websites in real time. And
01:18:08
then Google Flow uh, allows creators to edit 16 video seen simultaneously. But there's also Google Flow music
01:18:18
which can take like they gave it an example of they played a piano riff and the guy was like what would this piano
01:18:23
riff sound like if there was a bass guitar and a singer? >> This is insane. It was just another
01:18:28
insane demo that somehow has a name and a product. >> Yeah. Like >> which you should just be able to put the
01:18:34
audio clip in Gemini and say do this. >> Yeah. We're getting to the point
01:18:38
>> in IO where they kept cutting to the audience and I've never seen a group of
01:18:43
people who were more bored. Like the amount of just looking down at phones that happened by at minute 90, it was
01:18:51
rough. >> It was really funny. Yeah, I I meant to bring that up. They kept cutting to the
01:18:54
audience like every 30 seconds and and the first 20 minutes of the show, they were cheering for stuff and they were
01:19:00
pretty pumped and Sundar would be like and a trillion tokens and they'd be like, "Wow." By minute 70,
01:19:07
they would have like pause for applause on the teleprompter. You could tell and it would just be a few seconds of
01:19:13
silence and then >> and then they would just move on and you'd cut to the crowd and they'd just
01:19:19
be like on their phones trying to figure out what's going on. There was one point
01:19:22
where the presenter said, "And you can clap for this." >> Yeah. >> And I was like, "Oh, that's painful."
01:19:28
>> All right. Uh, basically last thing. Oh, no, cuz we'll get to the glasses. But
01:19:31
last thing here with the app and search overhauls, synth ID and C2PA. Uh if you don't know what C2PA is, it's content
01:19:38
credentials. We made a dedicated video on the studio channel about it that is also tied in with an M11P video. You can
01:19:44
go watch that if you want to know more about it. Uh but synth ID is Google's AI
01:19:49
watermarking feature where basically every piece of AI generated content that they make has like an invisible
01:19:56
watermark in the metadata that other AI can well that previously only Gemini could read and it would tell you whether
01:20:02
or not something was AI. They are expanding that significantly to basically every company which is really
01:20:09
good. Like that that's something that's very important. It's very ironic that
01:20:13
they're creating the exact thing that you now have to uh check. There was a there was a part where I think it was
01:20:19
Sundar was like only one in four people can tell when a piece of content is AI generated.
01:20:26
>> And that's why we made s like made synth ID. It has like the same shades of like
01:20:32
>> we've made this this smartphone extremely like >> addictive >> and so we have this digital wellbeing
01:20:39
feature that you can use to use your phone less. So like, oh yeah, we we've made this AI generated content extremely
01:20:45
realistic. >> And so now we've developed another AI tool to help you decide if it's real or
01:20:49
not. >> I think a perfect example of what we talked about before is like the problem
01:20:53
with this is we created the tool that can spread a ton of misinformation, but also the tool that can prove it
01:20:58
misinformation. The problem is is the 10 million people who saw the misinformation,
01:21:03
>> 100,000 of them might see the watermark. The Sony tweet that you said before that
01:21:08
had 13 million views. The follow-up tweet that explained it a little more had 300,000 views. Like people aren't
01:21:14
looking for the update. They're reading the title, watching the image, seeing
01:21:18
the video, and now that is fact. >> And to be clear, it's also always in the
01:21:23
context. So this is a it's not a visible watermark. It's basically buried in an
01:21:27
invisible form so that when you scroll past this on your feed, you aren't thinking, "Oh, let me go drag this and
01:21:34
check this to see if it's AI or not." >> When you just see it in your feed
01:21:38
randomly, you're not in the in the context of like thinking, is this AI or not? So, it just doesn't get checked.
01:21:45
Which is why, and this is the first time I'm ever saying this and the last time I
01:21:48
will ever say it, Meta actually had a good idea. And on Instagram, they put the AI info thing. Although AI info is
01:21:55
terrible verbiage and they should just have edited with AI or modified with AI or generated with AI. Uh but that wasing
01:22:01
up because if you used Photoshop at all it would say AI info which is all broken
01:22:06
but the platforms themselves need to support synth ID. Another rare statement to Twitter's credit.
01:22:13
>> Now this is where it gets weird. They tried to uh implement this thing where
01:22:17
it autodetects if the image you're attaching is made with AI or not. And if it is, then it has it adds a little tag
01:22:22
so that in the feed as you're scrolling, you don't have to think about it. It'll
01:22:25
just say made with AI. >> Yeah. >> Unfortunately, there's a ton of false
01:22:28
positives. And I uploaded images that are not made with AI that it just tags them as made with AI. So, I'm not sure
01:22:34
how it's reading that, if it's just trying to look at the image and decide
01:22:37
or if it's using C2PA or some combination of that. I don't know. But there's a ton of false positives.
01:22:41
>> And it it needs to go a step further to bandwagon off. It can't just be like
01:22:46
accurate, reliable synth ID usage. It needs to be like an o it can't be like a
01:22:50
black box because when you have these platforms that are acting as publishers if hypothetically there's a politician
01:22:57
that the owner of Twitter does not like there's nothing stopping them from just
01:23:02
slapping the AI generated label on all of their >> or the other way around on their
01:23:05
something is AI generated from they do like and taking it away. >> Yeah. The only reason it has to be a
01:23:10
black box is because of bad actors, >> like outside bad actors who want to
01:23:15
abuse and show things on the feed and get through the algorithm without the tag.
01:23:19
>> Well, that's why C2PA has like a it has a trail that you can actually follow.
01:23:23
Like when something has content credentials on it and you pull it into like the content credentials checker
01:23:28
thing, it shows you every edit that's been added and when that edit happened.
01:23:32
>> But I don't think that synth ID has that. It just shows it just tells you if
01:23:35
it's been if it's been made with AI or not. But either way, it is really good
01:23:40
that a ton of services are picking up on synth ID. Um, it's just very ironic that
01:23:44
it's basically like Google's like, "Look at all this slop that you can make and
01:23:48
trick people." And then there was also they they had a bunch of influencers
01:23:52
like bake digital twins of themselves with Gemini Omni. >> I did not like this.
01:23:56
>> It was so weird. like they had a a Disney adult uh basically talking about
01:24:03
her favorite Disneyland land foods and then they had her climbing a rock and it was just very uh it was very like it was
01:24:11
just creepy and weird and um we shouldn't do that slop generators. >> Before we move on uh away from AI
01:24:19
products and towards wearables, >> I can't wait till we move. Um, I just
01:24:22
want to say I think I think we're going to see a lot more of this over the next
01:24:25
year because >> there's so much like circular money in the AI space and there's so much money
01:24:32
committed to these these data centers. I did finally >> find a a list and uh and the most
01:24:38
important number is that like right now in the US we have about 18 18 gawatt operational. In the next like 10 years
01:24:45
we're planning on building 334 gawatt. Um, for perspective, one gigawatt is about as much as a large nuclear power
01:24:54
plant produces. Um, and so like all of the companies like burning through these tokens for a large part are doing this
01:25:01
on like subsidized money because companies like Nvidia are funding these like startups that are then buying
01:25:08
tokens with the Nvidia money. So all the companies like Google that have are starting to
01:25:16
in what what's what do they say like their declarations of intent to like spend all this money on data centers
01:25:21
they need to find customers that they are not paying and like fast because otherwise like the dates these starting
01:25:28
construction dates are going to start coming around and they're not going to
01:25:31
have the cash flow to again >> build hundreds of times of the electric you know like
01:25:37
>> I mean open AI in particular right? Like they they have basically said like, "Oh
01:25:42
yeah, like our numbers don't make sense, but next quarter we're going to add 30
01:25:46
350 billion new users." >> Yeah. So we're we're going to see just
01:25:50
like tons and tons and tons of like these these like AI product cases in just like a desperate attempt of like,
01:25:57
"Hey, can you please please buy some tokens that we didn't pay you to buy?"
01:26:02
>> Right. >> Have you guys ever heard of the term Ponzi scheme? >> It seems really familiar right now.
01:26:08
Yeah, it's just that the problem right now is they're building so much infrastructure, but they just are not
01:26:13
seeing the demand. And they're having a lot of demand and they're saying, "Oh,
01:26:17
like look at all this demand. We need to build the infrastructure." But they
01:26:20
they're building so much infrastructure because they say the demand is going to
01:26:24
scale to that within the next 10 years, but the numbers are not showing that it actually is going to. And that's why
01:26:29
Gemini is getting put in every single product because it creates demand that people didn't ask for.
01:26:35
>> And usage. >> That's what I mean. Yeah. Like artificial demand. getting rid of the
01:26:38
thing you're actually using and replacing it with the AI overview and then being like, "Look at all the people
01:26:43
that are using AI overview." >> Yeah, they actually clearly did that on
01:26:46
stage where they were like, "Yeah, we've never had as many people using AI mode
01:26:49
in Google search." And I was like, >> mostly been using it by accident.
01:26:53
>> Yeah. Well, that's it like automatically AI modes for you. >> Yeah.
01:26:57
>> So, obviously, we have a lot of usage >> this year. This year, we've seen a
01:27:02
record number of people fall down the stairs. Coincidentally, we removed all handrails.
01:27:06
>> Yeah. It's Alison Johnson wrote a really good piece at the Verge right before
01:27:10
Google IO about how Gemini is getting way too close to being like in your face a little too much. Like at first it was
01:27:17
like, "Oh yeah, I can use Gemini for that." But now that they've put Gemini
01:27:20
in every single Google product, >> it's a search box. >> The logo is everywhere. It's like, do
01:27:25
you want to do Gemini? You want to do Gemini? You want to do that with Gemini? >> Dude, opening a Google doc, it just like
01:27:29
surrounds your doc. >> There's something at the bottom of our page right now I've never seen before.
01:27:33
>> It's a new little toolar any changes you want to make. It tries to like edit your
01:27:36
document for you. There's the Gemini logo in the top right >> where you can do the same thing.
01:27:41
>> Dude, if you open Google Docs, it's just like >> they are really trying to use like as
01:27:46
much AI as possible. It's in the top right corner. It's in the bottom corner
01:27:49
>> because they have to gloat about how much people are using Gemini at the next
01:27:51
Google IO. This is their whole thing. >> Yeah. >> Anyway, okay, we're going to talk about
01:27:56
the smart glasses now. >> Yeah. So, we can talk about the glasses. The last bit really with the glasses is
01:28:00
they saved it for near the end but they unveiled uh that they would have what they called audio glasses but it's
01:28:08
essentially the same product as Meta's Ray-B bands but with Google's AI and
01:28:13
Gemini instead. Yeah. So with Warby Parker, I think, and Gentle Monster, they have like these two form factors of
01:28:18
these glasses with cameras on the front with speakers, with microphones, with the compute on them, and you can talk to
01:28:24
Gemini, which of course is linked with your phone and can do a bunch of things like deploying agents and all that fun
01:28:29
stuff that they talked about through the whole keynote. You can do all of that with just wearing the glasses.
01:28:33
>> Yeah. >> So yeah, I don't know why they're called audio glasses. Maybe because
01:28:37
>> cuz now they're going to have audio. They're going to have the screen
01:28:40
glasses. So audio is the main way that you're interacting with Gemini since there is no display. They will for sure
01:28:45
at some point have a moninocular and binocular version of like a display glasses. Maybe that's what they're
01:28:50
called >> next year. >> So that that that'll be coming. >> Visual glasses.
01:28:54
>> Yeah. But uh yeah, these are these are the audio glasses and they are I I guess
01:28:59
in collab with Samsung and and wear OS where >> Android XR >> and and Android XR.
01:29:06
>> Yeah. Gemini. >> Yeah. They had some cool demos actually though. the they had the lady come out
01:29:10
and she was she had the glasses on and she was like >> hey can you direct me to that place that
01:29:14
I went with Allison last week and it knows exactly where that was and I think that's kind of cool and then it's like
01:29:20
do you want to stop for your cold brew on the way that you usually get which I thought was kind of interesting and
01:29:25
again making more money for the advertisers >> everything is like how do I get your
01:29:30
credit card information >> Google is a fishing scam at this point like just everything they do just wants
01:29:37
me they want my credit card information. >> Yeah, for sure. Yeah. And then um as
01:29:41
she's like walking there, it's like she's like, "Oh, hey, can you can you
01:29:44
order it for me so it's ready when I get there?" And then it you agentically uses
01:29:48
her phone and like taps through the things and uses Door Dash to like order it for her, which I was like, I guess
01:29:54
nobody's going to be talking to the Breezas anymore. It's like what happened
01:29:57
with Starbucks when Starbucks introduced their app. Yeah. And it's like tons of
01:30:01
people will be waiting in line and then people will just come in and get their coffee because they had to prioritize
01:30:06
the mobile orders because it was a new feature that they needed people to use >> and it was probably most of their
01:30:11
business. >> It was it probably still is most of their business. Yeah, >> I feel like we had it. We had that
01:30:15
happen to us. Remember? I don't remember where we were at some some event where
01:30:19
like we were at the front of the line for a solid five minutes and no barista talked to us or even acknowledged us as
01:30:24
they just went back and forth making mobile orders and people walked in, picked up the food and left and we were
01:30:29
at the front of the line for like several minutes >> order in the store. >> Yeah,
01:30:33
>> I'm so tired of everyone drive-thru. >> Are you using the app today? I would
01:30:37
tell you if I was using the app today, please just take my order. >> I don't know why it has to ask me every
01:30:42
single time. >> I forget that they have apps for for fast food now. That's great.
01:30:45
>> Which is fine. I think that's like I don't have a pro. I don't use them, but
01:30:48
I don't have a problem with them. But you don't you can just say hello. >> I use some apps,
01:30:54
>> but drive-through should first say >> we're getting we're now
01:30:56
>> what can I get for you? >> Or like how are you today? And then I could say oh I have an order on the app.
01:31:02
>> Yeah. >> And then they'd give you a fee. Yeah. Something I don't think that Google is
01:31:06
quite prepared for is so you there's a lot of negativity around the meta glasses, you know, cuz people in general
01:31:13
hate AI, but people especially hate being filmed without their consent. >> That's the main thing.
01:31:19
>> And then stuff being put online about it. And I've seen there's clips of
01:31:22
people who are like people like, "Hey, are those metagasses? Are you recording
01:31:26
me right now? Are you?" And Google basically went through this with Google Glass 1.0 because they didn't put a
01:31:31
recording indicator on the front. Mhm. >> I really, really, really hope that
01:31:35
they're dictating that every Android XR glass device needs to have a recording
01:31:39
indicator. >> They didn't talk much about it. >> They didn't.
01:31:42
>> It's got to. >> I hope so. But I just am a little bit worried that the more because right now
01:31:48
there's basically the meta glasses and that's basically it. There's like some
01:31:50
other smart glasses, but nobody uses ones. >> Yeah. But like nobody buys those. So,
01:31:55
I'm a little concerned that like once because the Android ecosystem of smart
01:31:59
glasses, which will be a ton of companies at some point, >> once those come out, no, everyone's
01:32:04
going to be like, "Am I being recorded right now?" all the time, >> right? Because at least when someone
01:32:09
picks up their phone and records you, it's obvious to you. >> Yeah. >> But the amount of unwanted recording is
01:32:15
going to go way up and the sentiment around AI glasses is going to go way down. I wonder if I mean I don't know if
01:32:21
they would do this but I wonder if it's possible for Google to add some sort of
01:32:25
a require a hardware requirement for XR glasses. So it's like if you want to use
01:32:31
Android XR you must have insert minimum resolution here insert cameras here insert like indicator recording light.
01:32:39
>> That would be neat. >> Yeah, I hope so. >> It should be also when the glasses are
01:32:45
recording when you didn't ask them to. anytime. Yeah. Anytime that sensor is
01:32:50
detecting light, period, a light should be, >> which is something that >> feels obvious.
01:32:54
>> Pixels do, right? Or is it Androids do where like you can have the indicator
01:32:58
come on that any single time that the microphone or the camera is turned on, there is an indicator in your status
01:33:03
bar. >> Yeah, that's an Android feature. So, I hope Android XR has that as well.
01:33:06
>> Yeah. Yeah. Um, weirdly enough, like when Meta released the Ray-B bands and they were trying to
01:33:12
get you to use the AI features and like literally nobody uses them, I always thought that the AI stuff was stupid.
01:33:18
Uh, but that's mostly because I don't trust Meta and I don't trust meta AI.
01:33:21
But because you use Google all the time, I actually see a lot of use cases where
01:33:27
I have a thought about because I I take photos about things and then search them
01:33:30
all the time. Mhm. >> So, being able to do that and knowing it's Google on the back end, I feel a
01:33:35
lot more confident in it. >> So, I would actually probably use this type of product a lot.
01:33:41
>> Yeah. >> Uh the problem is the cameras. >> Yeah. It depends on how how plugged in
01:33:46
you're willing to be. >> Like imagine imagine the magic Q moment where you don't even have a display, but
01:33:50
someone texts you and goes, "Hey, remember that picture from uh the crane on top of Marquez's Tesla?" And you're
01:33:56
like, and the the assistant on your glasses goes, "Do you want to just send
01:34:00
him the picture?" >> The doesn't even show you the picture. Do you trust it that much?
01:34:05
>> Do you trust it that much? >> And then and then it's like, Mto's
01:34:08
reply, "What the why would you send me that?" >> Well, imagine you ask your glasses to
01:34:14
buy you your cappuccino and you get there and you've got like a triple deluxe ham sandwich or something, you
01:34:20
know? >> Yeah. >> I mean, you got to take a picture of it with your soaked experience. close it up
01:34:25
>> or like worse all of the stuff you just said works on the first try and then
01:34:31
you're just this weird meat vessel for a Google data center somewhere like which
01:34:36
is exact like picture like then like a few days later being like yo thanks for sending me that pic and you're like I
01:34:41
don't know what you're talking about >> I just wear the glasses from
01:34:48
like you just arrive at the coffee shop you pick up your like why am I here >> cuz it suggest you things non-stop and
01:34:55
you just say yes or no. It's >> like turn left. You're like, why am I
01:34:57
turning left? Where am I going? >> Coffee shop. >> I feel like a lot of these tech
01:35:01
companies used to try to solve problems and now they're just >> both. >> No. I feel like they're trying to like
01:35:06
guide user behavior instead of answer >> our issues >> 100%. >> Any of you guys seen Star Trek 2: Wrath
01:35:12
of Con? Yeah. It's like the brainworm thing. Like >> it is there is this weird thing where
01:35:16
like I think a lot of tech companies believe that people don't know what they
01:35:21
want until you show it to them which was true for a long time in a lot of things.
01:35:28
But now with these convenience features it's almost like you're guiding people
01:35:32
along with things that come on you definitely want this. You definitely want us to to order that thing for you
01:35:38
and like direct you to the thing that you usually do. And it just becomes like you sort of just following along the AI
01:35:44
instead of making your own decisions. >> And they want you to do that because
01:35:46
then they can go to advertisers and say, "Hey, we can sell your product to people." Yeah.
01:35:50
>> Look how good we are. You don't you shouldn't use meta. You should use
01:35:53
Google shopping. >> And then it'll all have been worth it. >> Yeah. And then all the AI investment
01:35:57
will be worth it. >> Um Okay. >> Are we old? >> Yeah. >> Okay. You want to Okay.
01:36:02
>> This whole time I've been like, I hit there's the line, we hit it. I'm the
01:36:07
boomer now. like kids are going to be like you just get with the time gramps and like this is the line that I'm not
01:36:13
with the times. >> It's weird because a lot of like in my life I feel like I'm perfectly in the
01:36:18
middle of regular people and then very much technology people and everyone on the technology side seems to be very
01:36:25
excited for the AI and then everyone in my regular life is like this is the worst thing ever. It's going to kill us
01:36:30
all. So we we kind of like tow that line and I feel myself going I'm excited for
01:36:35
it but I'm scared of it but it's cool but it's like why are we doing this
01:36:39
>> flip-flopping all over optimistic about AI while totally sick of what's going on
01:36:44
with it right now and exhausted by it. >> I want to make videos about like you
01:36:49
know AI stuff on my channel but not like AI AI. I want to make videos about like
01:36:54
>> top five prompts too. >> No not like that. I want to make like theoretical thoughts I deployed this
01:37:01
week. >> Yeah. More more like what happens if this AI thing works and like what do
01:37:07
what does that say about society? Whatever. But >> AI does kind of all get lumped together.
01:37:12
>> That's the problem. >> One big AI. >> Yeah. >> So if there are little pieces of it that
01:37:16
are that are great like the tools we talk about all the time that we may use whether it's like oh we got to make like
01:37:21
a little frame. IO that's for us that has special features or even just like
01:37:24
help me cut something out of Photoshop easier. that gets something to the same AI as like all the chat bots and all the
01:37:28
other things that are happening and and all the AI on the glasses and it's all
01:37:31
AI so it's all >> has this label so it just kind of gets locked. It's like the same AI that lets
01:37:37
you uh generate an a useful widget on Android to help you track your run and how many things you're going to do
01:37:42
before the marathon >> gets lumped into all the rest of the things you've heard about AI for the
01:37:47
past hour. >> Right. Yeah, that's the problem. We've been talking for way more than an hour.
01:37:52
>> Yeah. I think a lot of people just feel really insulted given how many like
01:37:56
serious flaws there are in the world right now, like climate change being a big one. Yeah. When people like Google
01:38:02
and Meta come out and be like, "No, but the the biggest thing we need to solve
01:38:06
is like, how do we get your Google Docs to write themselves and take your job?"
01:38:09
>> And and we're going to do the worst thing America has done to the environment in 50 years to accelerate
01:38:16
this. You know, they actually had a very, very, very brief section about weather models with AI.
01:38:22
>> Yeah, >> that was super interesting because weather models right now are just
01:38:26
throwing a ton of compute at a ton of data from all over the country and trying to decide what the weather's
01:38:33
going to be and how potentially dangerous weather could happen in certain places and trying to get as
01:38:37
accurate as possible. And just from all the research I've been doing about weather models, these AI models kind of
01:38:42
came out of nowhere and are immediately surpassing these ancient models that we've been using forever. And it's like,
01:38:48
holy this is like super useful for like determining whether there's going to be dangerous storms in these places.
01:38:53
>> Yeah. >> And they just kind of breezed over that and moved to the next thing
01:38:57
>> because there was a reannouncement. >> Yeah. >> Cuz they announced that
01:39:00
>> it's been around for like a year basically since they started doing it.
01:39:04
But that's the type of stuff that could make awesome headlines, super useful,
01:39:08
really great stuff. They also had like this very brief thing at the beginning where they're like, "We're going to cure
01:39:13
all disease." And then they just moved on. >> Yeah. Like wait wait wait wait wait wait
01:39:17
what? And I think the the proof that all that is nonsense was in that in the the
01:39:22
OpenAI Tesla Elon court case when all in like in all those internal emails that got released. At no point were Sam and
01:39:30
Elon emailing each other like guys we're about to cure all disease. Like we should just put our differences aside
01:39:37
and cure all disease. No. The whole time they're like this is going to take over
01:39:41
the world. I want to be the guy that's the super billionaire running the world.
01:39:44
like like they don't even believe it's going to cure all disease. It's just
01:39:47
something they they say. >> But this is all this is what Google has been doing for a decade. This is what
01:39:53
their AI teams were working on. It's just that when ChatGBT came out and everyone was like, "Well, we could get
01:39:58
money." They started turning it all into consumer products and now we are where
01:40:00
we are. >> Yeah. >> But they've had these alpha fold tools. They've had the weather models. They've
01:40:06
been doing this. >> Yeah. >> And it was just that they would work very quietly in the background with the
01:40:11
people who it mattered for. Yeah. >> And now they're trying to tell us all
01:40:14
what it meant for. >> Yeah. As soon as Chad GBT launched, they were like, "Oh, we have to make AI the
01:40:20
main consumer product as instead of just using it as a background tool." Cuz
01:40:24
that's to your point, Marquez, about the like the weather models just being updated with AI features. What they used
01:40:30
to do and what Apple used to do would just be like, "Look at this awesome tool
01:40:33
that you actually can have a use for. It's powered by machine learning."
01:40:37
>> But they would actually tell you what was useful about it. And now everything's just a demo of something
01:40:42
that you could do but you would never do. >> They do it like the other way around
01:40:44
where they're like, "We have this new feature. It's called AI BL."
01:40:47
>> Yeah. >> And you're like, "Oh boy, another thing." >> Instead of, "Look at this cool thing. It
01:40:51
can do this. It's uses AI to do it." >> Yeah. I think that's the problem with
01:40:57
like these these hot these words that just get super hyped and there's like no
01:41:01
nuance in them, you know, like big data or like internet of things or like they just call it under this giant umbrella
01:41:06
and there's no nuance underneath it. Do you know what word is does live up to the hype? My brain is
01:41:15
sorry. >> Yeah. >> Trivia is that one. >> You were ready though. You were ready.
01:41:22
>> You knew where I was going. >> There's two music playing at once.
01:41:24
>> That was hurt my brain. >> Yeah. This has been a really rambly episode.
01:41:30
>> It's really hot. >> It was a rambly. I mean, anyway, let's
01:41:33
just get into trivia. Let's just get into Adam. >> I'm about to crash. Few more words could
01:41:37
have led to another. >> This is going to be the hardest thing to edit of all time.
01:41:40
>> Which of the following is not a real Google project? Firebase. >> Bazal
01:41:48
angle. Apache beam. >> How do you spell bazal? >> B A Z A L. Basil. >> Sure. Like art. Basil.
01:41:59
>> Well, that's e Oh, >> that would be how like a tech company making basil would spell it. That's an I
01:42:05
though. >> I know. Well, no, it's I know I'm saying things spelled different. It's also an
01:42:09
S. >> Yeah, I think it would just be B A Z L. >> Bzl actually, right?
01:42:16
>> You're right. Damn. Well, we'll think about it. And just at the end like
01:42:20
usual, we'll be right back. >> Damn. >> Support for the show comes from Framer.
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That's framer.com/wave for 30% off. framer.com/wave. rules and restrictions may apply. All right,
01:43:31
welcome back. We didn't talk about this because Google didn't talk about it. Uh
01:43:35
they put it in a little Android developer blog, but where OS 7 officially got announced, which for
01:43:40
those that don't know is the OS that runs on your Google smartwatch. Um there's some highle stuff here. There's
01:43:46
some stuff that's good. I'm just going to run through it really quickly.
01:43:49
They're adding flexible and dynamic wear widgets. So now they support new card
01:43:53
layouts which align very well for the mobile format. So they look the same on your phone and on your watch, which is
01:43:58
good. you now have live updates on your watch. So if you know live updates like Uber or whatever that can sort of show
01:44:05
you how close your car is, you can now show that on your watch. It's great. >> Or sports.
01:44:08
>> Or or sports. >> Yeah. Like Arsenal winning the Premier League. >> Which is crazy that they didn't have
01:44:16
that on the watch before because it seems like that'd be the best place to look at it. But you know, whatever. Uh,
01:44:22
app functions allows developers to integrate their apps with agents so people can complete tasks using their
01:44:28
voice. That's helpful. Task automation. Users can invoke and track task automation like asking your phone to
01:44:34
order Door Dash for you. Now you can see that on your watch. So previously you would like ask your Pixel to order Door
01:44:40
Dash for you and you would see it happening on your phone, but you wouldn't be able to know what was
01:44:44
happening in real time on your watch. Now you can see the steps it's taking on
01:44:47
on your watch to make sure if it's accidentally ordering you like a car off of Amazon instead of your burrito, you
01:44:53
can stop it, which is good. Uh workout tracker. There is now a rich standardized workout tracking experience
01:44:59
that includes heart rate monitoring, media control, and other things. So now if you're making a fitness app, there's
01:45:05
a standardized layout that you can use to make sure that the watch app looks good. So if you just made the app for
01:45:11
Android, you don't have to completely redesign a separate watch app. you can
01:45:14
just use Google standardized one which is cool. Uh there are enhanced system media controls. So there is per app
01:45:20
media auto launch controls which means that if you open Spotify like on your phone the media controls with like
01:45:27
playback and like pause forward back up down volume stuff like that Android. >> Yeah. So now if you it's like if you
01:45:33
open YouTube music it doesn't show up on your watch but if you open Spotify it
01:45:37
does show up in your watch because they want to give you as much control as possible I suppose. Uh there's also an
01:45:42
audio output switcher on the watch now. So if you have your phone connected to multiple sources, you say you wanted to
01:45:48
come out of the kitchen or you want to come out of the bedroom, you can switch it from your watch, which is helpful. Uh
01:45:53
and then they made they updated watch face format, which is a way to make watch faces. Now it's watch face format
01:45:59
5. There's enhanced alignment options, auto size enhancements, blend modes, stroke joints, and hierarchal settings.
01:46:06
That's about it. type. >> I'm gonna use maybe one of those. >> Yeah. Well,
01:46:13
>> it's so funny because that's something that would have been so good visually on
01:46:16
a screen on a stage that they had for two hours and decided >> which is why I feel like they shouldn't
01:46:20
even have done the Android show. They should have just made it half of IO and then done the Gemini.
01:46:25
>> Yes. So then at an hour in we could all >> and then they could talk about Gemini
01:46:30
for >> their attention. >> Yeah. Did you want to talk about this camera thing?
01:46:33
>> I'm going to talk about it for five seconds. I thought you might know more
01:46:35
about it, but >> yeah, I was in the wilderness. I see. >> Panasonic Lumix L10. I saw this because
01:46:41
on the X1006 subreddit, someone posted is like, "Oh, is this the new X100 competitor?" Um, it seems like it's way
01:46:49
more of a a RX100 type competitor. But I then looked at it and the coolest thing
01:46:55
about this is how the lens comes out. It's like a lens cap that is built into
01:47:00
the camera and it opens up like a little trig gate. >> Yeah. It's got three
01:47:07
flaps. Yeah. It looks like the like something in like Indiana Jones where they had to like shove a relic into a
01:47:15
big stone door to open it and it opens in these like three flaps and then this zoom lens comes out of it. Anyways, it's
01:47:20
a small like compact point andoot camera. It looks >> pretty cool. Pedapixel has a whole
01:47:26
review on it if you actually care about it, but the way it comes out looks really cool.
01:47:31
>> Yeah, >> that's all I have. >> Hopefully you don't drop it while it's
01:47:33
open and then break one of the hinges off. >> Yeah, to be fair, dropping most cameras
01:47:36
in that op would be in a rough spot. >> And to be fair, the flaps aren't that
01:47:40
important. They just kind of act as like a dust protector. >> Yeah, the gold color looks pretty sweet.
01:47:45
>> Yeah, it does. >> Cool. All right, most important thing. >> All right, so now that you guys have
01:47:50
made it this far into the podcast, I know that you're real fans. you're you
01:47:54
made it this far past all the rambling and all the stuff that we've talked about. And so instead of hitting with a
01:47:58
code word in the comments, this is a great time to share with you something that we're really proud of that is maybe
01:48:03
the coolest thing we've ever done. So you guys know the Marble Olympics, like
01:48:08
the Jealous Marble Run YouTube channel. >> Is it jealous or jealous? >> I only know about this because you guys
01:48:14
talk about it all the time. >> You've probably It's come across your
01:48:17
feed at some point in the last decade. They're kind of iconic. >> I don't know if it has. They're they're
01:48:23
awesome. They have essentially like a bunch of different events. It's like marble Olympics. Like a bunch of
01:48:27
different events that they can run and they all compete against each other. >> Uh they
01:48:33
have sponsors. >> Yeah, >> these marble teams have sponsors. >> I think you undersold it a little. these
01:48:39
these the marble events like there are are sprints, there's hurdles, there's
01:48:44
like javelin, there's everything you could there's marbula one which has
01:48:50
>> fullblown like attempted track recreations in a marble run where each marble is representing a different
01:48:58
driver in Formula 1 and they do qualifying beforehand. like it's completely out of this world with
01:49:05
incredible uh like they have the timing metrics and everything down for everyone. Anyways, yeah, it's awesome.
01:49:10
>> It's exactly what you're picturing. >> Uh we we decided we'd love to get
01:49:15
involved and instead of just sponsoring one team, we decided every channel that we run should have a team so that we can
01:49:22
root for them. So, here on the Waveform podcast, we do have a sponsored uh marble team.
01:49:28
>> We do. Uh that would be well specifically the Solar Flares are the waveform team.
01:49:33
>> We're like an OG gels Marvel run team like Solar Flares have been competing
01:49:36
for at least five years if not like way longer. Yeah. >> The Waveform, bro.
01:49:42
>> We need their rookie card. >> Yeah, we are we are we are proudly sponsoring that marble team here at
01:49:47
Waveform. But that also means the Autofocus channel is also involved. They are sponsoring the plasma team. The
01:49:53
studio channel is sponsoring the primary team. I believe the studio channels team
01:49:58
has already been relegated. Yeah, they got that fast. Yeah, they had a poor some poor performances early. And the
01:50:03
MKBHD team, the blackjacks team is doing really well. >> So, you know, now that you've made it
01:50:10
this far, we highly recommend going over and checking out what those marble teams
01:50:15
are up to and rooting for your favorite one. Maybe you're going to for the waveform team,
01:50:19
>> but you're clearly going to root for the blackjack team. I'm going to give you
01:50:23
this microphone. >> You're part of both of these channels, Marquez. I know that the black needs to
01:50:28
be tested for performance. >> So, well, it's I'm really proud team is.
01:50:33
Of course, Marquez is so good at everything. Of course, he would pick one of the teams and destroy all of us.
01:50:39
>> It's the Mad Black Marble Man. >> One thing Marquez doesn't actually need
01:50:43
his competence to to do and run. He still wins that. I'm very upset about that.
01:50:47
>> And the season, it's a long season. Okay. There's a lot of events.
01:50:50
>> You can still lose. Yeah, for sure. >> Will you switch teams to our to our
01:50:53
collective team if we start winning? >> Um, no. I'm going to stick with my team,
01:50:58
but you know, the Waveform team should stick with their team, too. We we should we should watch all these teams. We
01:51:02
should watch the events. Some stuff is live, too. You can literally watch them like as they happen. They're really
01:51:06
exciting. So, go check them out. We'll link whatever we can below, so you can
01:51:10
go support and check out our teams. >> Uh, yeah, marble runs. We will retweet
01:51:15
the first person who posts a picture with the solar filler marble merch watching waveform
01:51:21
>> the solar flare. >> Is that fair? You can you can buy the team marbles on
01:51:25
>> Okay. Or uh you can buy jerseys. I think >> that's incredible.
01:51:29
>> Do you guys Do you guys know who the marbles on the solar flare are? >> I have the team roster pulled up.
01:51:34
>> The names of >> Wait, they have names? I forgot names. Yo, who's our roster? Coming from the
01:51:39
seaside city of Meteorine, the Solar Flares participated in the Stardust Classic and won the Herbbitamia in
01:51:46
Invitational, allowing them and the Gliding Glaciers to be invited to compete in Marble League 2021
01:51:52
qualifiers. We are represented by Actually, Hold on. What am I doing? Get the music on.
01:52:02
>> Why am I not even seeing? We are represented by Flare, Scorch, Radiance, Ember, and
01:52:11
Blaze. >> Aren't you glad I have that button just like >> ready to go?
01:52:18
>> So, we will be big time watching our marbles and supporting them through the
01:52:23
rest of the season. Uh because it's the most exciting thing we've ever been a
01:52:27
part of. the the main screen in our office is either our work calendar or >> marble run Olympics going on the like 4
01:52:34
hour live streams of it and >> it's true >> or disc golf too. >> Yeah. Yeah. Disc golf makes it on there.
01:52:40
That's definitely the bottom. >> Yeah. >> So anyway, thank you guys for watching
01:52:45
and listening this week. I think it's time for that last segment that we always do.
01:52:49
>> Trivia. >> Trivia. >> Do you have a whiteboard? Oh, you do?
01:52:53
>> Yeah. Guys, I have before me four women's names, specifically Rachel,
01:52:58
Mimi, Robin, and Shakira. What line of smartphones had all four of these as code names?
01:53:11
H >> um >> you are about to experience things that you can't believe.
01:53:29
>> Getting carried away over here. >> Behind the trivia music is crazy.
01:53:33
>> There's so many good ones. David, we put this one in the soundboard.
01:53:41
>> That honestly sounds exactly like my flex printer, right? >> No, no, it's a scanner.
01:53:46
>> What'd you put? >> Yeah. >> Okay. >> All right. >> Marquez, you want to read first?
01:53:52
>> I said Samsung's A series, but I also wanted to point out that there is
01:53:55
literally a phone call. The Robin, that's good. >> I was thinking that, too.
01:54:00
>> Andrew David, do you want to read your answers at the exact same time? Ours are
01:54:03
not the same answer. >> Yes, they are. >> Well, let's >> say with the same.
01:54:07
>> You said a lineup of phone, correct? >> Hold on, hold on, hold on, hold on. You
01:54:10
said a lineup of phone. If he said >> Oh my god, you've been back. >> If he said Samsung, if he said Samsung
01:54:16
and it was the A series, would you have counted that? >> Does Sony even make
01:54:21
>> Xperia? They make you I think >> you just wrote Xperia. They have Xperia
01:54:26
1. They also have Xperia 5. They have Xperia 10. What? What were the things? I actually was debating putting one or
01:54:32
five, >> but you didn't. >> Are they both right? >> Well, you just put Sony.
01:54:35
>> Is one of them right? >> No, they're they're >> Guys, what even is this? Come on, man.
01:54:40
You've been back >> because I was originally thinking of an LGR and I was like, do I put V series
01:54:44
>> Sony Xperia? That's what I meant. >> How how how specific are you? Okay,
01:54:48
look. You haven't told me the answer yet. What are they? What are the four? >> Those are all Sony Xperia phones.
01:54:54
>> Xperia what? >> Xperia. So these are all these are the first four Xperia phones that ran
01:54:59
Android after they switched from Windows phone. >> So wasn't what were the name? Yeah.
01:55:04
>> The Xperia X10A, the Xperia U20A, the Xperia E10A, and the Xperia E15. Oh,
01:55:12
wait. Those are the the model. Excuse me. The Xperia X10, the X10 Mini Pro, the X10 Mini, and the Xperia X8.
01:55:20
>> Xperia X. So, >> I could give neither of you the point because neither you put Xperia X, but I
01:55:25
think >> what's the score? >> Is there a Sony phone that's not an
01:55:28
Xperia Xeria? >> They want to be specific. So, they got it all wrong. >> The question was what line and it's the
01:55:34
Xperia line. >> Yeah, but nobody would would have been >> I just feel like if you said that line
01:55:38
or that what company, >> but Sony only makes Xperia phones. >> I think they have more than one line.
01:55:43
>> Ellis was going to get both of you. >> Put the other lines. >> So, do we both get it wrong?
01:55:48
>> I don't know. Sony doesn't make non-experiences. >> No. >> So, does Sony make non experience?
01:55:52
>> I don't want to experience. >> It's making me look bad, but I don't
01:55:56
know. That feels like a very vague answer. >> But there's only one I'm just saying.
01:56:02
They're all experience. >> I don't know what to do. I don't I don't
01:56:04
know what to do here. Okay, here's here's the thing. If I give Andrew the
01:56:09
point, you know, then he's tied with Marquez. We get like this nice competitive thing.
01:56:13
>> Oh, >> and then if I give David the point, he's even farther ahead of everyone else. I
01:56:17
think that should be taken. >> I think we should both get points. >> Yeah. Yeah. Neither of you get a point
01:56:22
right now. In the comments, let us know where David Andrew both said that I lost.
01:56:30
>> Get the point. >> What does What does Gemini say? >> It was so implied.
01:56:34
>> We'll let the comments section figure this one out. >> It was so implied.
01:56:36
>> Wow, guys. All right. Well, since no points have been awarded, >> be so bring Mariah back.
01:56:42
>> Top number one comment. Easy. Andrew, you've officially initiated my grudge.
01:56:47
>> Right. I would like to kick off hour 39 of this podcast episode with an update
01:56:52
to the score. Uh Andrew, you are carrying the one with 25 points. Maybe 26. We'll see. Uh Marquez, you are just
01:57:00
ahead of him with 26 actual real points. And David, you are still far in the lead
01:57:07
with 29 points. >> There's a point where I was like double both of their scores put together. No,
01:57:12
you did start this season with a huge hugely. We're also so overdue for an extravaganza.
01:57:17
>> Yeah, like significantly. >> Question number two, which of the following is not a real Google project?
01:57:22
A. Firebase, B. Buzzal, C. Angle, or C. Apache, or D, sorry, Apache Beam. H. What do you guys think?
01:57:42
Apache beam more like it's so hot in here. >> Flip them and read. What do you got?
01:57:54
>> Wow. Okay, I'm different again from the other two. I said B. Bazal >> wrong. That is a real answer.
01:58:02
>> Spelled it wrong. >> I think the spelling is >> it's B A Z E L.
01:58:07
>> Like basil. >> That's not how you spelled it before, was it? That's not how you pronounce
01:58:11
that. >> Oh, I don't know. >> Basel. >> You spelled it b a za.
01:58:15
>> Bazelle. Bazelle. It's a >> tomato. Tomato. >> It's their own.
01:58:18
>> Sony Experia. >> Yeah. >> Their what tool? >> It's a build tool that has built-in
01:58:23
support for building both client and server software. >> And then we said I don't I don't know,
01:58:29
bro. I don't know. This is on their page. Google open source. All right. >> It's called Basil.
01:58:33
>> Basil. >> Is that how you pronounce it? >> Yeah. You said bazol. I thought that was
01:58:36
real. >> Baz. Bazal. It's literally called basil. >> Well, it was Well, what Adam said wasn't
01:58:42
real. >> Exactly. That's why I should get the point. >> No, but it was real. It's a real thing.
01:58:48
>> Bazal is not real. >> Well, I don't know. I've never heard
01:58:51
this spoken out loud. It could very well be Bazal. >> It's I Googled it.
01:58:56
>> And it's pronounced Bazal. >> No, it's called Basil, >> but it's not spelled like Basil.
01:59:00
>> Not real. It's a tech company. >> Here, this is how Google pronounces it.
01:59:06
>> Basil. What does Google know? >> Andrew, David, what did you guys put?
01:59:12
>> C or angle. >> I forgot what it was for us. And I put both to be specific.
01:59:20
>> That is >> You're going to have to be specific. >> And I put an angle.
01:59:24
>> All right. Well, this is all going to be determined in the comments because I'm
01:59:28
not adding a point on the screen until >> you guys tell me whether Marquez should
01:59:33
get that point or not. >> I feel like I've been robbed again. I feel like Bazal is clearly not real. And
01:59:39
I should >> Well, but didn't you just say that you the audience will decide.
01:59:42
>> You said, "Tell me which one's not real. Google Bazall." I said, "That one's not
01:59:45
real." >> But one of them is very obviously not real. >> Yeah, but I was right. There's two
01:59:50
correct answers. >> We'll see. >> We'll see. >> Commenters,
01:59:54
>> commenters, do your do your thing. Do your magic. Uh, wow. Okay. There's
01:59:58
probably six minutes left on this card and it's 1,000 degrees in here. So, thanks for watching, thanks for
02:00:03
listening, and thanks for subscribing. Stay tuned for more of your regularly scheduled programming, but also some
02:00:07
bonus programming coming up soon because we're just we're just that committed to
02:00:11
you guys. And if you made it this far, comment bazal. >> Comment bring Mariah back.
02:00:19
>> They already will. >> They already They already did. >> See you guys next time. Peace.
02:00:24
>> Waveform is produced by Vox Media Podcast Network. We're >> now Wform was produced by Vox Media.
02:00:30
>> Nope. >> You're doing great, sweetie. >> Waveform was produced by Adam Molina and
02:00:33
Ellis Roven. We're partner of Vax Media Podcast Network and try out music was
02:00:36
created by Vans Still. >> All right. How long are you guys talking about the Fuji? because I got some
02:00:48
marbles to talk