AI Demos: ChatGPT-o4 Canvas, Notebook LM & Meta's Movie Gen | E2026

0:00They've taken all the image editors and all that. That is not a... I mean, that actually... I look like a headlifter. I'm like, hey, would you like a soy latte? I feel like I'm making you a crab cocktail. This Week in Startups is brought to you by Lemon.io. Hire pre-vetted remote developers. Get 15 % off your first four weeks of developer time at Lemon.io slash twist. Fidelity private shares. Manage your cap table and data room. Get faster, more accurate 409A valuation and fully automate your next financing round. Visit fidelityprivateshares.com. Mention our podcast and receive 20 % off your first year paid subscription.

0:45And CLA. Innovation takes balance. CLA's CPAs, consultants, and wealth advisors can help you get from startup to where you want to end up. Get started now at claconnect.com slash tech. All right, everybody. Welcome back to This Week in Startups. Our guy, Sandeep Madra, is back. He's been busy. Grok is cooking with oil. How are you doing, my friend, Sonny? I am doing excellent. It's been a really, really busy. And we said this, remember, it's going to be a Q4 plus one. So we're now actually in Q4. And we are cooking. We are cooking. It is we're 10, 11, 12 days in by 10. We publish this. And J. Cal, tell me about your September in Q4.

1:35And like, what's going on? Because, You know, I am settled in here in Austin. It's been absolutely fantastic. And we're doing our next class of Founder University, not our ninth cohort. You know, that's where we have people come for 12 weeks. It's virtual, 250 teams, two or three founders, each team, hopefully a technical co-founder or two. And then we invest in the top 10 % of those. We might put$25 ,000 in if they want that first friends and family check, or we'll put$125 ,000 in if they want the standard incubator deal in Silicon Valley. And then what will be different this time is I'll meet them all for the week one in San Francisco with some of our partners.

2:18Then my plan is in week six, nine, and 12, perhaps, the top performing companies, the ones we invest in, have them come to Austin for the day or two, hang out with me go to the salt lick have a little brisket some bison ribs you know the one that broke my tooth in half oh yeah and um maybe a little terry black's beef rib which i took chamatsu for the first time and you know just jam out with them about their vision and i am super um excited just because so many of these companies are able to go so far with such a small amount of capital especially when they're teams of two or three because of ai specifically and it's really uh wonderful to see how fast people are working and then i'm very excited about oh one i've been using chat gpt oh one version to the point at which it gives me like a warning about credits you know and says hey you got to take a pause that's how often i'm using it uh so it's really amazing i had just while we start here uh we're taping on a friday i'm not sure when this is going to come out but we taped on friday october 11 last night was the cyber cab big reveal i I wasn't able to make it.

3:24Sorry to my friends over at Tesla, but I was traveling this week for Sax's LP day earlier in the week. So I couldn't do two trips in one week. What were your thoughts when you saw the cyber cab, the cyber bus and optimists, especially in relation to AI and where we're at? Yeah. Okay. I think it's a great lead out. And I've been thinking about this all day. And we talked a little bit about it in our group chat. Okay. Let's go in that order. I think the CyberCab is really a culmination of everything that Tesla has been doing, which is building cars, building great electric cars, building on autonomous technologies with sort of all the in-camera learning and their ability to basically put that all together in a form factor now without a steering wheel and or pedals.

4:20uh quick aside i heard a number of people say put a steering wheel and pedals on that and buy it just i mean i literally said that as well and i think that this was in the walter isaacson uh book about elon where franz or whatever you know it's a big internal debate and i think elon went with the kind of burn the boats uh according to that approach of hey we just got to force our autonomy we got to take the steering wheel out etc um and so maybe they'll be the what they were calling i think the model two which is the two-door hatchback i want to buy that two-door cyber cab so much i would buy two of them immediately because they just look so fun and and cute and zippy to drive can you imagine a tesla powertrain on something you know of that footprint it would be unbelievable it would be like that nissan um or is it toyota the gtr that all the racers like to do for tripping and stuff it would be like a mini cooper you know you get that like really small thing i would love to put fat tires on then feel it i love the design too i like the fact that this feels like kind of the love child of the cybertruck and the model y or model three it's kind of got its own like thing going on there so aesthetically i love it i love the vision of it obviously for self-driving what did you think of the bus to me that i think it's an rv i looked at that thing and i don't know if you saw do you see my tweet that i did about it yeah yeah so let's talk about the bus because i thought well let's finish on the cap okay so i think i think what they've been able to do is bring together all the pieces now the final thing which you know i think there's the market reacted negatively to tesla but i think that's probably a buying opportunity because look um the stock went down whatever five or ten percent yeah yeah but look think about what they put out there and what it's capable of and i personally think given and you know there's a couple of things that elon really touched on in the talk track was look we collect you know millions or what i don't even know what the number is but let's just say a huge amount of data and we and there was a video that he showed during that where it showed all these like crazy scenarios of like people jumping in front of a car and like a you know the car crash happening right in front of you or someone spinning out or you know someone crossing the road really really fast and so all of that has been kind of given to them uh through their existing car network which then they can use to build models around and so i actually think and look look how confident they were yesterday they allowed people to just use it inside obviously a square you know no safety driver because there's no steering wheel so yeah yeah and they were letting anybody do it and it wasn't just on a controlled environment so obviously it works in a controlled environment so on a grid system it's ready to go now but you have regulators and regulators you know they like steering wheels they like review they like side mirrors so this is i mean really going to be challenging with regulators i suspect or not i don't know what's your take on that yeah so i think like you know what we'll probably see is like the crawl walk run because they know they can do it there so you can imagine like in a and i think companies are going to buy them first so think disneyland right think all you know all these kind of places that operate think about like a retirement community in florida right so think about all these like you know places um like a campus yeah yeah like exactly places where there's golf carts or those little yeah exactly Exactly.

7:58I think you sell in there first. And then as the technology evolves, because he did say end of 26 or 27, I think by that point, we get to kind of widely generally available release. And I think that's the underestimation because they had enough confidence to allow people to just use it openly, obviously in a fixed area, but they weren't scared. They had no safety person in there. They had nothing on it, which is incredible. So that's my summary there. I think we get it in what you call fixed cordoned off areas. We get it there sooner than I think people believe. 2027 would be a pretty good estimate, I think.

8:39He said he could have those cars being manufactured. It was interesting because he was like, I'll say 2026, but maybe 2027, he kind of hedged a little bit there. Maybe that's why the stock went down a little bit because maybe people won everything yesterday. But the truth is, you got to get this right. And when you do, they have the ability to produce, I think they did 1.9 million cars last year. So he does have the ability to produce that volume. And so listen, you know, you know, he can put millions of these on the road, you know, in a short period of time. However, you know, just doing back of the envelope math, there are a billion rides a day in the US, a billion rides a day in the US, a billion rides.

9:17Of those rides, about 12 million of them are Lyft and Uber. So, but 3%, 2 % of rides in the US are done by ride sharing. It is a minuscule amount of the overall rides. And we're not even taking into account when you do that math, of course, public transportation and other forms of transportation, bicycles, etc. So there's a big pie here. And of course, if this became cheap and ubiquitous, people might stop buying cars and use these and people would induce more usage. So it's a bright future. I do believe there'll be three, four winners in this because it seems like everybody's solving it at about the same time.

9:52But there is a difference between Waymo and Cruise writing code top down versus building it off the data set. All right, founders, are you tired of doing all your own software development? Do you need help? but you can't afford all this time it takes to find great talent are you dreading the endless interviews and email chains just to find somebody great it takes six months it takes a year well what you need is lemon.io lemon.io has thousands that's right thousands of on-demand developers who can help you and they've done the work already to vet these developers making sure that they're results-oriented and that they're super experienced.

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11:17That's right. And Twist listeners get 15 % off the first four weeks. Stop burning money. Hire developers smarter and faster at Lemon.io slash twist. So maybe explain to the audience in plain English as best you can, the two different architectures of these systems. We know one had LiDAR, the other ones don't. Tesla doesn't use LiDAR, the other ones do. So there's one issue here, but we've beaten that dog to death a million times. Let's talk about the model and how they're doing it. And so, you know, it's actually kind of related to that, right? Because, you know, what Elon says is a human has two eyes and sort of a head that moves around.

11:56and that's all it has. And we're able to drive cars, you know, perfectly fine, right? That's what we're trying to mimic. And the reason, you know, others add sensors is all the, you know, these eyes, the eyes, the cameras can get covered. So you have an extra set of sensors that give you another view of the world and then use that. So now you take that into the model, right? Where if you're building a model that's using vision and using like a LIDAR and using say ultrasonics, you have to write code that brings that all together. And so what you're doing there is basically sort of, I just call it sort of the traditional approach across all those things.

12:33And you're double checking and it's valuable that you have all that, but it's much more difficult because you're having to have the code and the drive and all those things make decisions, right? What Elon and team did, and this is a gross simplification, is they just took a model that would learn to drive by watching video. All they fed it was, you know, hours or, you know, maybe hundreds of millions or billions of hours of video that they had from the cars. And so just figure out what humans do and follow what they do. See how they sit in lanes. And so instead of coding and saying, you know what, what people tend to do is they don't drive right in the middle of the lane.

13:07They tend to move based on if they hug the left or if there's a car to the right of you, they go to the right. Or if there's a bike, they even go out. Give it a little extra grace in that period. Yeah. I'll give you an experiment you can do. if you make a right turn, but there's no one in, like I said, the oncoming lane into the lane that you're turning into, the road, it'll actually go wide and go out into the lane, into the oncoming traffic. And that's because it's learned that from humans, right? Like, you don't need to hug the right side curb if no one's in the, it's, yeah, you're kind of scared to hit your rims or whatever it is, right?

13:42And so, what it's learned to do is like, just do that by watching humans say, well, there's no one in the lane, to stretch out in the left turn lane, the oncoming left turn lane. And you know, you can't write that in code. That's the nuance, right? And that's what you have to do if you build kind of a more traditional system versus this one is just watching all the nuances of humans and then implementing them on how they take curves and how they move around people. And you know, now it has to follow a certain set of rules. Like one of my biggest frustrations is it does this like full, full stop.

14:10And I'm always afraid of like someone from behind hitting the car. yes yeah this is well i mean a waymo issue as well i saw somebody on threads today i went over to threads to see what the reaction was there and that's like that's like really the people who hate elon or yeah hey you know they're they're the left so they hate anything that's republican or gop and you know one person was talking about waymo and they were like a san francisco bike person and you know how those people are like they kick your car literally like i had one kick my car almost got into pista cuffs with the guy started yelling at my pregnant wife that's all another story putting all that aside um the um the the really interesting thing he was saying was i actually was i used to screw around with the crews and the waymos you know i was like one of the guys who put cones on them kind of thing and he's like and now i walk with my dog and i love them because i know that they're not going to be looking down at their text or distracted and roll through a stop sign and hit me there's no way they can hit me and they stop perfectly so the other thing people are complaining about and somebody on our group chat said this is it's kind of annoying that they're such square drivers and they kind of take their time too much and that's been my issue with uh you know using the tesla full self-driving in austin yeah and is a traffic circle and it is very it's very cautious cautious yeah but you know you can put it on aggressive mode you have it on aggressive mode and it's still a little scared of traffic circles i think so for the team over there i think that's like probably traffic circles are not that common so maybe it needs more training data and then how people behave in traffic circles is wild that's one of the other things i've learned in austin like what i thought was the proper way to use a traffic circle is not how people in texas use them they use them like i mean they'll be going here i'm going yeah they don't slow down yeah they just you know yeah it's a pretty interesting uh moment there let's talk about this um the bus i thought the bus robo van robo van i'm calling it the cyber sled i think that this could change everything if you look at this thing he did mention it could be used for transporting goods okay yum yum you imagine this thing with an amazon person in it yeah imagine there's an amazon rep inside of this thing and it's driving to the next destination that rep is getting the box ready it opens the doors it jumps out it tosses the box okay that's going to save a lot of time but what were your thoughts on this it looks gorgeous obviously but i i have my own thoughts and you saw my tweet so we can jump into that yeah look like my personal thoughts like very similar to yours like this could be like a great basis for like a whole new generation of rvs long distance commute all that type of stuff right let me get in like you could own one it could have your whole office desk in there big monitor sit down work you know starlink on top it's like a it's a you know mobile office i've been looking at when i moved to texas i was like you know i'm gonna get one of these mobile offices like a sprinter van and i started looking into them they're not cheap they cost like 200 grand i mean because they they dialed them in or 300 grand or whatever so i was like well that's a little ridiculous but anyway you can have a desk and you can have like a full-on you know basically like it looks like a private jet inside um but i thought these would be incredible for a mobile home imagine autonomy a giant battery and then you have a hurricane occur in florida and they say okay send 10 000 of these to you know this stadium's parking lot or to these walmarts people come and you could rent one or like you're at the world series of poker and you're you want to have your own trailer or you're at burning man or i don't know you have your in-laws coming in and you order one to your house for a week for a hundred dollars a night and you park it in your driveway and now you have an extra bedroom these things are so compelling to me um because it's somewhere between a car an office an adu you think about the giant battery in there like how long could that battery last that could be a a battery that lasts 30 days and has enough roof space to put solar on it so congratulations to the team their optimus looks like it's doing well uh as well last thing on optimus you know just like the car they had it out in the wild they had it serving drinks they had it just walking around talking to people and reacting to people so yeah you know i think what i really liked about this was they made it more real right and it's kind of funny because the reaction wasn't that way but by letting cars and letting people drive around and letting the robot walk around amongst people those are big accomplishments and what we forget jason is just two years ago elon did the um or you know, Tesla did like the announcement.

18:46Remember they had the guy, the suit, like kind of acting as a robot. I don't know if you saw yesterday, they had that one in like a gazebo and they were dancing. And like, you think about it, two years ago, it was a dude in a suit. And then yesterday it's like, you know, robots actually dancing like in a gazebo. I think, you know, it's like bankruptcy. They asked somebody like, how did you go bankrupt? And they said slowly then all at once. And I think that's what's self-driving is. It's like this thing is taking forever because of edge cases, and regulation and safety and competition. And, you know, what happens when there's an emergency vehicle?

19:20How is the public going to respond to it? But it's pretty clear that this is going to be the future. And then the build out is going to take time because even if you built 2 million of these a year and they did 30 rides a day, you know, 2 million of them doing 30 rides a day, 60 million rides, you know, you're still, it's going to be like 1 % of the rides in the United States. I mean, let alone the world. And then you have BYD that copies everything Tesla does. You've got Cruise, Waymo. I mean, there's a lot of players in here. So everybody wants to ask me about my thoughts on Uber. Well, Uber went up tremendously because I think people realize if every single...

19:55Little J. Cal yum yum. Little yum yum. You know, listen, and I own a lot of different stocks. Like, it's not a big deal. Like, if Uber goes up and down, you know, build out of this will be a two-decade build out. I think 10 years from now, 10 years from now, we'll be at 20 % of rides being automated. So 20, we're almost in 2025. So 2035. 20 % of rides globally will be autonomous. 80 % will still be done by drivers. Oh, dude. In 10 years, I'll take the over. I'll take the over, like way more than 20 % in 10 years. Perfect. Okay. We got a thousand dollar bet. We'll put that on the bets, thisweekinsertifus.com slash bets.

20:35There's an easy bet because here's the thing. I think what people don't realize is the number of rides out there is so giant and the number of rides are going to triple. What I learned from being an early Uber investor was that we were comparing it to cab rides, but then it quickly exceeded the number of cab rides. So you said, well, what happened here? Well, people left their cars at home because they were having a drink or it was more convenient, etc. And then they started using it for commuting where they might have previously taken a bus. And they said, well, I'll go point to point because I can afford it because it's eight bucks.

21:04So a lot of great things going on here, but the number... Jeevan's paradox. It's Jeevan's paradox. You make more of a... So Jeevan, yeah, Jeevan was an economist that basically came up with this theory in the late 1800s, British economist, that said if you make more of a resource available, people end up consuming more of it, right? And so it was kind of in the steam engine era, right? Where it was like, oh, like steam engines are going to change everything, but they start, and what's it going to do to coal? And then all of a sudden they start consuming more coal. And so anytime we've put something out there, actually a better example here is much more, is that farming, right?

21:49So when we went to the industrialization of farming, what ended up happening is the consumption of food really increased, right? And like, you know, Americans are, everyone's more obese because it's just more of it's available. So we eat more of it. So it's just something that we tend to do is cheaper. Yeah. All right. Listen, interest rates are coming down, but it's still hard to raise a new round. Everybody knows that the last thing you need is to get bogged down in the minutia while raising. So if you're a founder overwhelmed with your cap table management, due diligence, and frankly, managing your investors, you need to check out Fidelity private shares.

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23:23And when I lived in LA, they were constantly making the 405 one lane bigger. And like when it stopped, when they stopped one project and then they'd have two years, what happened was people from people would move further out from the city center because they're like, oh, I can live now in El Segunda and make it to Santa Monica or Century City for work. And then it fills up again. So the traffic, no matter how many lanes you did, would instantly fill up with induced traffic. But congratulations to the team there. And I think it's awesome. And I think there are going to be, I think, you know, we talked about this, there's going to be three or four players who are all going to figure this out to different extents, I believe, in the same 36 month window, which means at the same time.

24:11Now, I know that's hard for people to understand that figuring out a technical problem in the same 36 window is the same time because there is a physics constraint here. You need batteries and you need resources. It would take literally to do the number of rides just in the United States every year. There's a billion rides. You're talking about 50 million of these cars. Like, I don't know if the battery packs are available for 50 million cars. And if Tesla makes 2 million a year and they were to double it every year and they went to four, then they went to eight. I mean, I don't know what the physics constraint of the factories and the batteries are, but it's going to take a lot.

24:45And so that's why I think 20 % being automated in 10 years is a realistic goal. Right now, we're below 1%. I think that means the pie is going to get so big. Yeah. And I think 1, 2, and 3 are pretty clear, right? Waymo, Tesla, and Tesla. And BYD and some of the Chinese companies. Can we add in Joby? Sure. I mean, and then going in the air is going to be part of the Joby Archer and the other one. Yeah, there's it's pretty clear that we're going to really have a bright future. So congratulations to everybody. Let's talk a little bit about demos here. It's we got to get back into it. All right. I'm going to go a little bit different order because I'm generating something and it's taking longer.

25:31So my first demo, actually, J.Ka, I don't know if you've used this yet, is let me get my chat GPT open here. And I don't know if you've tried this. So let me get my share going here. So they have a new mode here and it's called chat GPT 4.0 with Canvas. Have you seen this? I have not used it. Okay, this came out this week. Yeah, write me an itinerary for a one-day tech conference in Austin. I'm just going to do it just for you, J. Cal, right? And so what you're going to see here is, so now what it does is it, on the left-hand side is your chat GPT, and you can do this for writing code and a bunch of things, but I think this is much more applicable to folks, right?

26:21And you can basically take a section of it, highlight it, which I'm going to do here. Let me just highlight this properly. How did the chat window move over to the left? Because that's what happens when you use this mode. And now for these two sections here, I can say, let's just say, make these more about intros and a special guest. And so now, see what it'll do is it highlights it right in place. oh yeah yeah and so if you're working on something basically what it's doing is it will highlight it'll let you work on the document while you're kind of editing it on the left hand side which is really cool so weird that mine's not doing that it's not putting me on the left hand side for some reason no but are you doing 4.0 with canvas i am on 4.0 with canvas but it's not showing me the left hand column i don't know why maybe i've got to log on log back in but this is really cool because it's editing the same document yes this is what we've been waiting for because it's i knew i was loving yeah so this is great this is a 10 of 10 obviously yeah this is absolutely wonderful because we could put in today's docket or like a news program docket yeah like make it shorter make it longer add something to this edit put it in a table yeah Yeah.

27:44And so, yeah, we're starting to see the, this is what we saw in Blade Runner when she is asking to analyze some video clips and he's zooming into the left and the right and it's responding in real time. That was a vision from Ridley Scott, you know, from the eighties. And yeah, this is fantastic. Absolutely. 10 of 10. just great yeah right and then this is daily use this is use all the time this is much better to iterate when it comes to uh usability and so you give it a give it a give it your grade jcal i'm giving it a 10 10 of 10 10 okay all right yeah a plus for me yeah what about for you yeah yeah i mean i look this is the one last thing that i always kind of struggle with which had gpt is like oh you're always having to copy paste or rewrite the whole thing and now you can edit it in place and so i want to make sure you get it enabled jacow like i i feel for you right now i don't know what well you know what it might have been it might have been that i didn't wait till it was done like when does it actually open up the left kind of starts and it starts i mean i can do another one yeah we can just do another one here what were you trying to do i'll do your one here well i just said uh you know create an itinerary for going to tokyo niseko to go skiing this winter and it gave me like three days in Tokyo and four days in Niseko.

29:07Yeah. But it didn't put it on the, oh, 4.0 with Canvas. Nope. Try again. Yeah, so see, it kind of, it's interesting. So for this one. Yeah, it didn't open the left-hand side. I wonder why it's not doing that. Somebody from, one of our friends over there explained to us why it's not opening the left-hand chat for everyone. Yeah. So strange. You just had that happen. Yeah, it just happened there. but it's now it's not doing it for me either weird very strange uh well anyway this is absolutely fantastic and uh i think this is the game changer yeah that i've been waiting for so yeah congratulations to the team over there and you know just using oh one all the time and seeing it show its work of what it's doing has been extraordinary for me i have been doing so many interesting um and like actually speaking of what we're talking about here um i was um looking at you know i was having these conversations with people about let me share my screen um one moment so i was having these conversations with people about um car production because i was trying to figure out how fast could we actually make enough cars to do all the rides in the u.s and who makes the most cars and i got a table um with this and you know then it was missing some companies so i was like hey where's byd and all this they make 4.5 then i said well where's tesla is that well tesla's making you know put tesla in there at 4.5 and i was like wait a second that's not the number of cars they made they made 1.8 so is that right and then i was asking it to you know correct itself and it did memory updated etc and it's really like coming together and then i asked how many cars are sold in the world per year and it told me 70 million cars are sold per year so then i was able to back into well in the united states we need like 50 60 million cars in order to have a fleet big enough to do all rides because i was like what what's all rides all rides is probably 50 to 75 million of these cars because you got to realize some are going to be in a dense urban area some will be in the suburbs where you know you might do an hour-long ride and then it takes 45 minutes to pick up the next person because it's across town or whatever you know it's we're half an hour to pick something up long story short it would take every car manufacturer in the world just to make enough cars to do the united states and then on to the next country onto the next country.

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32:38Start today. J. Cal, we can do your demo. Try this. So try it again. Okay. And say use Canvas if it's not. I just was getting annoyed. Yeah, and then see if you can do it. Okay, let's see. I'll pick. Use canvas mode. Use canvas mode to. Well, pick the canvas mode, type it. And then if it doesn't do it, when your next prompt, just say use canvas mode. Use canvas mode to explain the total number of car rides in the United States. Give us citations as well. and let's see if it doesn't oh it did it there you go uh so you know and this is what i was trying to explain yeah sorry i've got to stop sharing so you know um 344 billion rides annually i mean it's just nuts the number of rides that are occurring um and you know if you say 344 billions 365 billion days a year so it's about a billion rides per day and so you know now if i went to the side here let's make a financial model how many automated cars would be needed to

34:06service all these rides automatically yeah all these rides okay let's see what it says let's see if it doesn't uh so here we go it's giving us a total number the total number done average rides per car per day assuming a car can include 30 rides a day that's actually a pretty good estimate by the way because that's what an uber driver can do is like 15 to 20 so two shifts you could kind of get there uh days in service a year this assumes they operate 365 a day that's a big assumption we're probably going to do that total car rides um per car is you have to bring them in to change tires to charge and the charging time as you know is to fully charge well maybe if you're doing a supercharger be less you know but still going to be some time so it's saying here approximately 31 million um and i say let's say assume cars are on the road uh 80 of the time and charging 20 and that they cost 40 000 to buy and uh let's say 10 000 a year to insure and clean and then we can like let's see if we can do this now this is something you would be talking over the shoulder to an analyst right if you were in a in a venture firm or whatever uh or you were at morgan stanley you're an analyst and you start now you're here you got the financial model says cost per car 40 annual insurance 10 total cars needed 40 million 39 million 1.5 trillion dollars to purchase the cars 1.5 trillion is a lot of money folks you know just to give you an idea i think apple may be sitting on 100 or 200 billion at any given point in time um and so the operating cost would be 400 billion a year so you know it's not easy right um and uh what would the revenue be if each ride was i don't know uh let's say 20 uh 15 dollars now we can start to see what revenue would be here 15 dollars right seems reasonable for a half hour ride uh and you can start to get to let's see uh revenue 5.65 million dollars oh my god that's at 15 dollars right so then you take 15 you take out the cost of buying all these cars 1.5 the cost of maintaining them 400 and you can see there's a big business to be at here uh who knows what the margin would be you know but this is incredible i mean wow and what i love about this is when we were talking about crypto we were trying to figure out the use case right you you were in crypto land for five years right you you have your you have almost you have you lost a half decade to crypto no i mean you did okay you made a bunch of money on your expenses but my point is as a technology we put all this effort into it and then you look at what is happening with ai like this is actual real value if you're an analyst i had to have a whole talk with my team the other day because they were giving me work before doing this and i was doing this while i was asking the questions and i'm like your work sucks chat gpt is awesome why don't you use chat gpt and then come to me with your work after you've polished what chat gpt has done and they're like are we allowed to do that is that fair and i'm like fair what are we talking about here like let's let's kick everybody's ass into i think that's like going from typewriters to word processors like oh i can't use i'll check yeah i gotta i get i mean like literally people are taking white out people don't know what white look up what white out is there was a huge business in white out where you would take a little bit of a nail polish and you would you know misspelled if you did a typo you would put white outing and then blow a drive and then retype over it okay we're not in whiteout mode anymore this is a 10 of 10 i could continue with you all day and come up with examples and now imagine this thing could put images in there you know like and then i could say here um put this in a simple table you gotta share it again you're doing demos i know sorry i was trying to be gracious here with Okay, put this into a table.

38:31Yeah, that's nice. Make an infographic. Do it slightly different. Okay. What I'm seeing is you can highlight a little paragraph on the right-hand side. So just highlight, say, the paragraph that says that. No, no, on the right-hand side. On the right-hand side. Yeah, highlight that paragraph says total number of rights. Just highlight that paragraph up a bit. Oh, okay. Yeah, highlight that. Oh, no, wait, wait, wait. NASA uses as GFT, you can say, make this more spicy or expand on this. So just say something. Make this more concise. And yeah, make this more concise. Let's see what it does. Yeah.

39:14And see what it'll do is it'll rewrite that. Boom. This is the superpower, JCal. Now you don't have to do it on the left-hand side. You can just go to each bit and you can say, now you can say, oh, put an image of that. So you highlight it again and say, can you turn this into a graphic, right? Of the same paragraph. Say, I want to see this as a graphic or something, right? Yeah. Yeah. Pretty amazing. I mean, this is, this is what we've been looking for. Yeah. Well done to the team over there. A plus, A plus. I've been waiting for this too, because it's so obvious that this is not a difficult thing to do.

39:46And this is, you know, I got to give the team over at OpenEye credit and I got to give the people at Gemini a bit of a warning here at Google. this entire workspace is dedicated to the ux of chat gpt you can't do this with gemini because you've shoehorned it into google google should buy chat.com the domain name from whoever i've been saying this you've been saying that and make a dedicated new service you can leave gemini inside of search but i need a domain name i go to that's different than google that does this and i can And then it could be, this is powered by Google. You know, it's from Alphabet, chat.com.

40:24And then have a great app that complements it on iOS. Can work on the iOS app first. We'll start releasing stuff to iOS first. So you get those top users. You know, everything is hidden inside of an app. You ask somebody, how do you get to Gemini? They're like, I don't know. I don't know. Somewhere in my Google interface, I got a hunt and peck for it. 100 % of the user interface must be dedicated to the AI. But wow. We're quick with it. Give us another demo here. This is a great one. Okay. Thank you. Yeah, awesome. And it's getting daily use. The weekly active, daily active remains solid for OpenAI.