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AI for Humans

NVIDIA's Jensen Huang Wants It All (GTC 2026)

Jensen Huang just stood on stage and said $1 trillion. He wasn't joking. NVIDIA's GTC 2026 keynote was a masterclass in flexing, covering the inference inflection point, DLSS 5, NemoClaw for enterprise agents, and what it all means when every company becomes an agentic-as-a-service company.

NVIDIA's Jensen Huang Wants It All (GTC 2026)

Jensen Huang just stood on stage and said $1 trillion. He wasn't joking. NVIDIA's GTC 2026 keynote was a masterclass in flexing, and we're breaking down every layer of the cake.

We walk through Jensen Huang's massive GTC 2026 keynote, from NVIDIA's $1 trillion business projection to the inference inflection point that's reshaping the entire AI industry. We dig into DLSS 5 and why AI-powered neural rendering is about to change gaming forever (sorry, gamers), NVIDIA's deep integration with OpenClaw and the launch of NemoClaw for enterprise agents, chips in space, and what it all means when every company becomes an agentic-as-a-service company. Plus the Dwarkesh podcast with Dylan Patel on the real bottlenecks in compute that nobody's talking about.

JENSEN HUANG SAID ONE TRILLION DOLLARS AND DIDN'T BLINK. WE BLINKED.

PS, we're now coming to you TWICE a week (both a little shorter).

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// Show Links //

NVIDIA GTC 2026 Full Keynote with Jensen Huang

https://www.youtube.com/live/jw_o0xr8MWU?si=VZAIG3E7vuUCwz6N

DLSS 5: Breakthrough in Visual Fidelity for Games

https://www.nvidia.com/en-us/geforce/news/dlss5-breakthrough-in-visual-fidelityfor-games/

DLSS 5 Official Trailer

https://youtu.be/dJACkKbN-Eo?si=fIJvsV52---bOyTr

Digital Foundry Deep Dive on DLSS 5

https://youtu.be/4ZlwTtgbgVA?si=g8TMgNlOWknKnqHo

Good Til' Cancelled: The GTC Game

https://x.com/SAlexashenko/status/2033585849586331985?s=20

Dwarkesh Podcast: Dylan Patel on Compute Bottlenecks and Chips

https://youtu.be/mDG_Hx3BSUE?si=YnLEIVhsaCpdVQgi

AIForHumansNVIDIAGTC2026
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Gavin Purcell: [00:00:00] Nvidia is flexing its muscles at its annual GTC conference. As CEO. Jensen Wong says they will do over a trillion, trillion dollars of business.
Kevin Pereira: That's oh, do two pinkies to the mouth. We're gonna walk you through Jenssen's plan for total domination from new robots to open claw integration to something that has to do with cake.
Jensen Huang: This conference is gonna cover every single layer of the five layer cake of artificial intelligence. From land power and shell to infrastructure, to chips, to the platforms, the models.
Gavin Purcell: Yum, yum. Kevin will also discuss what this means for you. The human, when everyone has an agent and all GPUs are going towards inference,
Jensen Huang: the demand just keeps on going up.
There's a reason for that. Finally. AI is able to do productive work and therefore the inflection point of inference has arrived.
Kevin Pereira: And gamers, don't worry if you're mad that you can't ever get a new graphics [00:01:00] card ever again. Prepare to be big mad because AI enhanced graphics are here. Whether you. Them or not.
That's right. DLSS five is here and Gavin thinks they're super cool and all of you are wrong. He said that to me on the phone.
Gavin Purcell: I did not say that. I do think they're interesting, Gavin, but I did not say that.
Kevin Pereira: Yeah. Uh, he actually did say that, in fact, he said he wants to use DLSS on us.
Gavin Purcell: No, no, I didn't. I didn't say that.
Kevin Pereira: Oh, this is, I actually, I'm. I kind of, I kind of dig it.
Gavin Purcell: This is AI for humans, everybody.
Kevin Pereira: Is it?
Gavin Purcell: Welcome everybody to AI for Humans. Your weekly guide, actually your biweekly guide to the world, world of ai. Yeah. What do you know we're doing? Hey, we're going by Kevin.
Kevin Pereira: We're schedule fluid guys. You, you were correct. Comment section. You got us
Gavin Purcell: today. We are talking about NVIDIA's, GTC, which is their big event.
Kevin, did you know that GTC stands for GPU Technology [00:02:00] Conference? Did you know that? I did not know that.
Kevin Pereira: I didn't know it until about five seconds ago, Gavin, and I wish I could use that Adam Sandler remote and rewind and, and unlearn it.
Gavin Purcell: The click you're talking about the click remote from that movie,
Kevin Pereira: click black would've been the easier draw.
Sure. But I wanna rewind. TiVo set,
Gavin Purcell: doesn't matter. We're gonna talk.
Kevin Pereira: Yes. Okay. Let,
Gavin Purcell: let, let's, let's, let's talk, let's talk about GTC. Yes. I do wanna jump into this. So, first of all, Jensen comes out in the leather jacket. And he is just boss Manning this conference. He comes out, he is doing everything. He, you know what I found out?
He doesn't even use a prompter for this thing. So he comes out, he is got all this memorized, but I wanna play one little clip here before we start to just kind of get a sense of what he's going for.
Jensen Huang: Well, I'm here to tell you that right now where I stand a few short months after G-T-C-D-C. One year after last.
GTC. Right here where I stand.
Kevin Pereira: Pt, SD No, it's keep going. Keep
Jensen Huang: [00:03:00] going,
Kevin Pereira: keep going. P had a P. It was pt, it was Pacific Time.
Jensen Huang: I see. Through 20. Keep going.
Gavin Purcell: Keep playing it. Keep playing
Kevin Pereira: it. Is he gonna say anything other than acronyms and individual letters?
Gavin Purcell: He's gonna
say
Kevin Pereira: dying.
Jensen Huang: Gonna say 27. At least $1 trillion.
Gavin Purcell: $1 trillion. Kevin, what? $1 trillion of money. Is that what he's financing? Money. Financing of
Kevin Pereira: Klarna for new jackets. What is, what is the 1 trillion NVIDIA's made? $1
Gavin Purcell: trillion. That is the money that is going to go through Nvidia, which is crazy to me. And it just, there was a slide they put up where they just show how much of what they're in, like they're in.
Every single factor of the modern tech economy, they're in every single factor of future tech economy. Uh, demand is just going, it's like insane to me. When you watch this,
Kevin Pereira: to be clear for the audio only, automotive financial services, healthcare and life sciences, industrial, that means, you know, water, power, you name [00:04:00] it, media and entertainment, quantum retail, consumer packaged goods, robotics, telcos, they're in literally everything.
And as AI infuses its way into everything. That will include your toothbrush, that will include your dog's collar. That's gonna include everything.
Gavin Purcell: And also, Kevin, you know what we'll really include, which was kind of one of the bigger announcements of this conference was DLSS five. It's gonna be in your video games in a much bigger way than you might have ex.
Affected. Of course Nvidia comes from video games. He did a little bit of a history thing where he talked to spend the twist the 20th year of Cuda. For those out there who celebrate. So congratulations. Cuda can almost drink a beer, but that is based on video games. We used to make graphics cards just for video games.
And guess what, Kevin? They introduced a new thing that is very interesting. It is an uprising tool for video games. It is called DLSS five, and this is essentially like you and I have seen over the course of the last couple years. You could see re your video or re your photo with ai. We'll be showing this on screen, but if you're not watching [00:05:00] this, you know, it's a slider back and forth and you see essentially an ai ret image.
What, when you're looking at these video, this video, like what are you feeling?
Kevin Pereira: Uh, I, the, the rage of the internet, I can feel them sharpening their pitchforks.
Gavin Purcell: Take away that, take away that. What are you feeling? Feeling?
Kevin Pereira: It's Kevin. Think super cool. I think it's super ing. Look, uh, there, there are certainly times where res techniques can breathe new life into something.
Yeah. Um, uh, this is slightly different than previous takes at DLSS. If you've seen AI res graphics in the past, they were just trying to imagine the pixels in between, the pixels, if you will, or sharpen out the edges or something like that. This new approach actually takes like. The frame color and the motion data and uses AI to add, add, not just enhance, yeah, but add accurate lighting and materials and fine detail.
And they will claim it's using the original models and colors and textures of the core game itself. So the remaining true to the artist vision, this is where some of the division is, because when you look at the examples. It [00:06:00] looks like it's painting details that don't exist.
Gavin Purcell: Yes.
Kevin Pereira: In the core models as they're on the screen now, my parents love emotion, smooth Gavin.
They love, oh they do?
Gavin Purcell: Oh my God.
Kevin Pereira: I know. They love to take a a, you know, the old four by three video and up re it to eight K. They're
Gavin Purcell: watching
Kevin Pereira: Mission
Gavin Purcell: Impossible in four by three and black and white.
Kevin Pereira: All the characters kind of just slide across everything. Everything looks like a soap opera. They love that stuff.
And I do think. With certain games, there's a time and the place for this, there's gamers that will line up for a new texture pack of a re-release of a final fantasy or whatever else. So I do think there's going to be clearly an audience for this. Um, I, we've seen already in the very short time that this was announced, there's definitely a hater contingent for this, right?
And I think if you're like a hardcore gamer, just the fact that it adds and it's only like 18 milliseconds of latency, but the fact that it is adding latency makes this like a deal breaker for some people right off the rip.
Gavin Purcell: Yeah. And I will say it's like, you know, kind of the [00:07:00] same thing we say with all AI stuff.
It's like the worst it will ever be right now. And I think that one of the things I think they kind of screwed themselves over by is like, there's actual changes. Like to your point in the background, one of the shots of the Resident Evil Shot, there's a sign that says cigarettes and the cigarette sign is gone.
So maybe it's just that AI is trying to clean up our lives and not get us to smoke Starfield, which is a video game that I played. I don't, did you play Starfield? I can't remember if you played Starfield at all. I did,
Kevin Pereira: yeah.
Gavin Purcell: Yeah, so one of the problems with Starfield is they had these very dead looking characters, right?
When you look at these characters straight on, they were very dead looking, and I will say Kevin AI did not really fix that. It made their skin nicer, it made the backgrounds nicer. It did make the environments really cool. There was one environment in Starfield, really beautiful. But the eyes are still kind of dead and so it's not gonna just fix things that are necessarily wrong with it.
Right. Um, digital Foundry is a very great YouTube channel. You should be following. They got an inside look at this. Their video has a lot of other stuff. One of the cooler parts that they showed was, um, a shot from Assassin's Creed Shadows, which you haven't played that. That's the one where you're in Japan and one of the characters is up on top of a mount, uh, on [00:08:00] top of a building, and he is seeing this forest.
The forest looks amazing. Like when you look away, like at the, at the landscapes, I think facial stuff is gonna be a little bit different. But Kevin, I did wanna point out to your point about the idea of how negative people are. Those comments are watching people just like light the internet on fire. In fact, one person, I wanna call this one out, PPIs, F-A-M-P-P-I-S, said quote, apply the slop filter, please quote, said No one ever.
So you are going to see. A lot of negativity, I think, towards this new tool. Hey, we use a slot
Kevin Pereira: filter on our webcams. Every recording. We apply it directly to the forehead and listen, I I we, when we talk about, and we, you do say it often, and I think it bears repeating like, this is the worst that it will get.
Right? Yeah. It's easy to look at those examples and go, oh, there's a halo of light around the character as it moves. Oh, the, the background signage changes subtly. Oh, the, the, the, the rain details aren't exactly in line with the. It's the worst that it's going to be.
Gavin Purcell: Yeah.
Kevin Pereira: It is going to get [00:09:00] better. It's wild to me still that this system understands like hair, skin, fabric, foliage.
Yeah. It has understanding of all that and can do it with, I think it was like an average 16 millisecond hit. Yeah. That's gonna drop down even more. And I think beyond the. Oh, we're just gonna enhance our existing game. I think we're gonna see games designing for this. Yes. Yes. Where they're going to ship ultra low res geometry, ultra low res models and be like, Hey, this card has been trained on this blocky thing.
And suddenly like I Dar, or the old NBA jam looks realistic.
Gavin Purcell: That would be so interesting to think about like how low poly could you make something and actually have you It come out, go, yeah. Locate at you. Go. Kevin, I do wanna ask like if, if they didn't have the word AI attached to this, would gamers be excited?
Because that's my big question when you just look at what this is. Sure. A gamer who didn't think this was AI might be like, I kind of changed it, but wow. I can see like so much better. It feels like a whole new gaming system. That's the thing I [00:10:00] think is, is weird to me.
Kevin Pereira: This new graphics caught have hyper pixels.
They cut the hyper pixel dragon on it. It's a big dragon.
Gavin Purcell: Hyper pixel dragons. Yeah. And ai, the
Kevin Pereira: carbon fiber scales on it. I'd be like, oh yeah, I need 10, 10 carbon dragons. But no, I, I think you're right. I think AI kind of automatically yucks a lot of yums again. Yeah. I understand people that are like, that's not the artist's intended vision or that's, that's, it's, it's adding things to the game that shouldn't be there.
But also sometimes the artists push it as far as they can and maybe they wish, yeah, that the, the self shadowing on the eyes of the character would've been more defined. Like we are, we are not necessarily able to say, if the game developers themselves are officially supporting the thing, then they're, they're welcome to.
You're also welcome to hate it too, but you can't, oh,
I.
Gavin Purcell: There was one I saw, Kevin, I have to show you. So, so I guess Nintendo got involved in this and Nintendo decided that they were going to up res Mario. And I don't know if I buy this one necessarily because it seems to me like this feels a little bit off.[00:11:00]
Like I'm not sure if I buy this one. So anyway, if you're just listening, go to the YouTube and watch it and check out what we, what we've done here.
Kevin Pereira: What, why does it turn him into Timothy Chalamet?
Gavin Purcell: I don't know. This is a, maybe that's the next star of the Mario movie.
Kevin Pereira: This is gonna be a great meme, and if anybody in our comments or on our discord wants to do A-D-L-S-S five on all of the things, even outside of video games.
We are here for it, please.
Gavin Purcell: Yes, we are. Okay, so very fast. There was a, a quick mention of Jensen talking about chips in space, which has been this ongoing conversation. If you remember, a couple weeks ago we talked about, Elon discussed this idea of like, all of his chips are gonna be in space. Uh, NVIDIA's working on chips in space.
They have a, a way to figure that out, although he did mention the fact that like. They're gonna have to figure out how to deal with heating and cooling up there. And, and, and, and Elon's idea was always like, oh, we can just use the coolness of space Anyway. That's something they're working on. But Kevin, the bigger thing that came out of this.
I think was this real open claw integration, like leaning in, whoa, what's going on? What are you laughing about [00:12:00] it
Kevin Pereira: over there? No, just the reality of what you and I have chosen to discuss each and every week to go Yeah. Yeah. The chips in space. Yeah. We're gonna launch these space data centers. We're gonna cool it with the vastness of the vacuum that is space.
And, uh, there's no timeline or partners, but, uh, we're gonna figure it out. But here's the really big thing.
Gavin Purcell: I mean the chips in space thing to me, and I'm curious to know what other people out there think. It feels like a pop a pipe dream right now. I know it's not. I know that there's science that can do it, but there is no actual way to beam down the data yet in a significant way.
So it does feel like, to me, it's like everybody's gotta check the chips in space part off of their resume or off of the thing. Like I'm, I've done chips in space.
Kevin Pereira: Hey guys, did we do a
Gavin Purcell: space wait for this week?
Kevin Pereira: Okay, great. Yep. Okay.
Gavin Purcell: Well, you could, like Jensen used, like he only talked about it for like five minutes.
It was a three hour keynote and he spent five minutes. Anyway, the bigger thing here is that they actually had Peter Steinberger, the creator of Open Claw in the audience, and they have worked on a whole new integration of Open Claw. Within the Nvidia platform that they're [00:13:00] calling Nemo Claw. And this is a little, it seems a little strange and weird that we're mixing names here, but so Nemo Claw is based around the name of of Nemo Tron, which other pla, which is one of their other platforms, right?
But the big idea here, Kev, is that they are trying to make open Claw accessible. For SaaS businesses, meaning that you could trust your enterprise data with an open claw service. And, and the idea that this could really open the door. And by the way, gens, they made a whole video about open claw. They went like, yeah, off about open cloud.
They really loved it. So they c cloud I, they are cloud. I think a big part of it for them is they really wanna boost open source, open cloud. One of the things Jensen said in the presentation was that it is the. Uh, it is the biggest open source project of all time, at least according to GitHub, that it took two weeks to beat Linux in terms of how many GitHub stars it has, which is pretty crazy.
Anyway, I'm curious, as somebody, you've spent a lot of time with Open Claw and I've actually been talking to, like I mentioned last week, my brother-in-law who's been doing a lot of open claw stuff. Where do you kind of stand on the idea that [00:14:00] like Nvidia could give Open Claw a big boost and that it could make this kind of enterprise ready?
I,
Kevin Pereira: I was, did not see this one coming. Um, we
Gavin Purcell: Interesting.
Kevin Pereira: Yeah. With, with the open claw of it all, I think a lot of people that, especially the early adopters, got into it and they're like, okay, yep. This will go, especially once open AI got involved Right. And kind of snatched up, uh, Peter, we were like, okay, this thing's gonna have legs here.
And then the bigs will go make their own version. I did not for, and this is my shortsighted, this, I did not count Nvidia as one of the bigs that would take this and run with it in a way. I figured Anthropics gonna put more claw like features into their suite, Gemini and Google. They're gonna do the same.
Microsoft have an offering. I didn't expect Nvidia to do it and. That to me is so fascinating. Um, because we saw other slides where they announced all the big foundational partners that they work with, right, Gavin? Yep. They had the Claude Code side and they had Codex and they had all the big partners are there, but like, don't forget, they can also serve the open source models and they have Yes.
Uh, one what, 1 trillion running [00:15:00] through their veins. Yes. So they can spin something like this up. And I think, look, making it enterprise secure. In addition to the stability issues and everything else, but I think making it enterprise secure was sort of the number one thing. 'cause that's what held even some normies back from using it was this notion of like, I don't know that I can trust it with the keys to my personal kingdom.
Gavin Purcell: Yeah. And what I find interesting about Nvidia is they win no matter who wins, right? Like that's the thing you can take away from a presentation like this. Like they are winning across the board and all they need is one of these people to survive, like to be. And by the way, if in in an open source world, Nvidia does great because as Justin pointed out again and again.
Inference runs on GPUs, right? Meaning that inference if you're, if you're new to, somewhat new to the space, that's where the AI has to think about things before it gives you an answer. It's not just the training of the model, it's the real time calling of the data going back and forth. So for Jensen, he's open class.
Great, right? Because it brings more people on board and it brings more open source models on board. And it doesn't matter how much they're paying for [00:16:00] the open AI token or the cloud code token, it's more about getting more and more people on board with the AI train.
Kevin Pereira: Well, here's the other thing. You know, you go to an Apple store and they're sold out of Mac Minis because people were snatching those up.
Yeah. To just run open Claw, which is, it's crazy overpowered for that. But they, they did it regardless. Nemo Claw gonna run on RTX graphics cards gonna run on their RTX Pro, gonna run on the DGX station, probably gonna run on their, their Spark, their little super computers. Yeah. So they have a vested interest.
And making sure it runs really, really well on their hardware. 'cause I bet they saw that moment and, oh no, what's going on?
Gavin Purcell: I'm just think, Kevin, I I, not financial advice, but am I supposed to buy Nvidia stock at this point? Is that what I'm supposed to do here? I just got a flag space
Jensen Huang: chips.
Gavin Purcell: Yeah.
Jensen Huang: The spare chance,
Gavin Purcell: you know, you should buy a little bit of investment in this YouTube page by liking and subscribing right now.
We've got some more to talk about in a second, but just take a moment, click that like and subscribe button. We are gonna come to you twice a week. Now. That is our goal for the next month. Yes, we You've committed to it, Kevin? No, a month. It's not that. I
Kevin Pereira: just realized someone's gonna do the DLSS [00:17:00] five on me and it's halfway through, and then the other half of my face is Kevin Rose.
Gavin Purcell: Oh man. Well, we'll see what happens. Maybe I can be Alex Albrecht maybe there, it's like all the old people unite in one big thing. We can all be together in one big, one big retirement home. You and me will be doing our, our podcast at one side and Kevin and Alex will be doing in the other side of the retirement
Kevin Pereira: and like the enhanced Kevin is Alex Albrecht.
He's gonna like that. I'm gonna send him that, but yes, I don't that. Okay. Sincerely, please support us. Leave a comment, thumbs up, subscribe. And if you want, we gotta Patreon and to buy me a coffee and a whole bunch of other stuff and subscribe to the newsletter.
Gavin Purcell: And we got a great thing coming on Friday, so don't forget, we have a second show coming on Friday.
All right, Kev. The other big thing that came out of this in uh, GTC was they brought out the robots and the robots are always really interesting. I remember you and I covered this last year. Maybe it was last year or the year before. They talked a lot about simulated environments for robots, right?
Remember there was a whole thing about how you put a robot in a simulated environment. Well, this year it's clear that a lot of these robots are actually doing this. And the most interesting part of this to me was, [00:18:00] you know, the little Olaf robot that they've rolled out across Disneyland. Now it's like about, I don't know about this tall, like up on my desk, like this tall.
They had the Olaf robot come out. But the more interesting part was looking at what they designed for the Olaf robot before they put it into, uh, practice in Disneyland. They had a whole simulated environment where it was able to kinda learn how to walk through kind of dirty snow in some way and different things.
Yeah. And like that feels like the future of this kind of integrated robotics ai. And right now Olaf doesn't feel like the thing that can kill us, you know, because he's cute and he is got those little sticks for arms. But at some point someone's gonna be simulating that in a much bigger way in a practice of war.
But we're seeing just a cute version of it right now, Kevin. It's just a very cute version, so I appreciate, you
Kevin Pereira: know, there's a workstation somewhere where they replace those little twig arms with AKs. They've got tiny little o Olaf learning to waddle over marbles with two death machines strapped to his arm.
I love it. I like, let's do it. You think they're gonna replace the coal buttons with Thermite and, and Olaf just sort of waddle in,
Gavin Purcell: let [00:19:00] it. Somebody in our audience try to make the Terminator Clint shot of where the Terminator steps on the skull, but make it with Olaf and we give you a special shout out.
We'll give you a special shout out.
Kevin Pereira: Yeah. I wanna see when he comes down, like when the little bubble forms and he's teleported and it's usually like a naked Arnold. Let's see. Olaf.
Gavin Purcell: Make it Olaf. You want see? Naked it.
Kevin Pereira: Olaf.
Gavin Purcell: Let's see. Olaf.
Kevin Pereira: Well, I think it's,
Gavin Purcell: no, you wanna see naked Ola?
Kevin Pereira: I don't know what's under the snow.
I guess he'd be melted at that point. The point is, I wanna see
Gavin Purcell: what is under his snow. I guess it's just snow,
Kevin Pereira: right? Nothing. It's just snow.
Gavin Purcell: Are we sure? Are we sure there's nothing under the snow? Well, the robot there definitely is off is
Kevin Pereira: mostly falafel and uh, and Legos. Yes.
Gavin Purcell: The other thing that's very cool about GTC, there was a video game that came out from the same guy that made, there was a great mind sweeper thing about the strengths of Horror Muse that came out about a week ago.
And he made that video like a casual game. He made a video game called GTC, which is good till canceled. And this is essentially a vampire survivors game where you play his Jensen and you fling chips at people coming towards you and investors looking for money. [00:20:00] I played this, Kevin, for longer than I would like to admit.
It is very fun. It is, it is a, it is a web-based game and it goes on. It's not, it like you can level up, there's level ups and power ups throughout it. So like, perfect. Just a very fun, cool, uh, vibe coded thing. And the last thing I wanna say is there's a great podcast you should all listen to, to give you some more insight into this.
This one, this is this podcast too. Drk Patel did an interview with, um, Dylan Patel, who Jensen shouted out in the keynote. Dylan Patel runs semi semi analysis and semi analysis, kind of does a lot of data and research about the chip world and the, and the energy world and all the stuff that kind of matters in the hardware world.
And in this interview, Dylan talks a lot about the bottlenecks may not be the energy as much as people think energy's gonna be. Like, there's a lot of conversations around like. One gigawatt, we need fusion. Five gigawatt. Yes. We need tiny nuclear reactors. Yes.
Kevin Pereira: We need space, uh, labs. Yeah. Okay. Yeah.
Gavin Purcell: He, he was saying the bigger bottleneck is more likely gonna be the small pieces that have to come together to get these chips.
Like there's a, there's a company called As SML, I think in [00:21:00] the Netherlands that makes just the small piece of all of these kind of processes that have to come together to make the fabs, which is the machine that makes the chip. All of this stuff is this crazy big thing. And so there's all these little pieces that could go wrong.
And so just to be clear, like yeah, luck like Dave Ram by the way, like really, I mean good luck or, or graphics cards too, right? Yes. Like all this stuff, but just to like as a little bit of like in, you know, Nvidia and Jensen is here, kinda selling the big cell, that's a nice little kind of way to kinda look at some of the realistic situation we may be in in the next two to five years when it comes to all that.
Kevin Pereira: I think it's a bubble. What are your thoughts? Faab?
Gavin Purcell: Are you okay? It's a faab. Are you okay? What? Did you just tap gas? Was that the bubble? The gas? You just
Kevin Pereira: fa That was me just being, just being real.
Gavin Purcell: We'll, we'll see you all on Friday. We have a very special thing that Kevin has been vibe coating that we're gonna, we're gonna premiere on Friday and maybe have playable at some point, right?
That's the idea.
Kevin Pereira: I'm gonna just re, I'm gonna release it open source so anybody can do it. Oh, fantastic. If you ever, fantastic. Play a game of doom and then just whisper [00:22:00] new enemies and weapons into the game, like, I don't know, shoot a juicy hamburger at Guy fii. You can
Gavin Purcell: do it. Ooh, uh, okay. I can't wait. Also, like and subscribe this video, we are gonna come to you twice a week.
We're trying to make a little shorter video. This will still go up on audio, but like, and subscribe. We're very happy you guys are here with us. Thank you so much for watching, and we'll see you on Friday. Bye-bye. Bye.