Better Offline - The AI Clown Car W/ Gamersnexus

Episode Date: August 19, 2026

In this episode, Ed Zitron is joined by Steve Burke of GamersNexus to talk about the increasingly-delusional promises of the AI semiconductors industry, the rotten economics of LLMs, and how everythin...g is becoming more frantic and desperate as we reach the end.GamersNexus - There Are No Non-Clowns In The Clown Car: https://www.youtube.com/watch?v=F33Ohjufi9kSupport GamersNexus’ AI Surveillance Dystopia Series: https://store.gamersnexus.net/ai-dystopia https://www.youtube.com/gamersnexushttps://gamersnexus.net/https://bsky.app/profile/gamersnexus.bsky.social https://x.com/GamersNexus  Save $10 off a year of my premium newsletter: https://edzitronswheresyouredatghostio.outpost.pub/public/promo-subscription/gzqwkv54e1 - I’d be so grateful!  YOU CAN NOW BUY BETTER OFFLINE MERCH! Go to https://cottonbureau.com/people/better-offline and use code FREE99 for free shipping on orders of $99 or more. --- LINKS: https://www.tinyurl.com/betterofflinelinks Newsletter: https://www.wheresyoured.at/ Reddit: https://www.reddit.com/r/BetterOffline/  Discord: chat.wheresyoured.at Ed's Socials: https://twitter.com/edzitron https://www.instagram.com/edzitron https://bsky.app/profile/edzitron.com https://www.threads.net/@edzitron Email Me: ez@betteroffline.comSee omnystudio.com/listener for privacy information.

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Starting point is 00:00:00 This is an IHeart podcast. Guaranteed Human. Didn't catch the latest Roland Martin Unfiltered podcast? Here's what you missed. There should not be a single law enforcement agency. It does not have body cameras. It's real. Black farmers have been under attack.
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Starting point is 00:02:08 Listen to Wellness Actually on the IHeart Radio app, Apple Podcasts, or wherever you get your podcasts. Also Media. Hello and welcome to Better Offline. God damn. It's your host, Ed Zittron. I am bad. Better Offline. And we are returning with a returning champion of the show, Steve Burke of Gamer's Nexus, who's here to talk to us about how well the semiconductor companies are conducting themselves in this era of AI opulence. I think it's a good way of putting it. Oh, yeah.
Starting point is 00:02:50 I'm happy with them. Oh, they're great. They're so good. The clown industry has never had more candidates. It's so strange. So you put out this wonderful video about the, well, it's just we're out, there are no more non-clowns. It's just, it's funny. There are no non-clowns in the clown car at this point.
Starting point is 00:03:10 I think it's accurate. As we record this, they've recently announced that Open AI and SB Energy are building a data center with Invidia backstopping it, but it's not really a backstop. This doesn't feel like a real industry, Steve. It's all pretend and make-believe, I think, at this point. I mean, yeah, my favorite quote I've heard recently, I did see that news today, but my favorite quote was Jim Kramer saying, I like data so much. much, data center is so much. I wish I could live in one. They should make him. Yeah, you, weren't you on CNBC or was that? I was on CNBC a few times recently and they've not asked me about Jim Kramer living in a data center yet. No, they haven't. Okay, I thought maybe I wanted to
Starting point is 00:03:57 for a realtor. I wanted to go and live in one just so that he can sit around and just get deafened, I assume, because they're pretty loud from my experience. Yeah, I mean, it's, there was, there's so much going on right now because locally we had a data center town council meeting that was supposed to happen actually tomorrow and I was going to go to that and the pushback from locals was so much that the applicant withdrew their application for the data center where was this this was in raleigh specifically is where they were looking at because there were a few data centers over there right I know Corweave have some crap. Yep, Corweave.
Starting point is 00:04:41 They have a good amount of stuff out near the mountains out west. And there's some of the, one of the old, like, former crypto mining facilities, you know, has been converted or in the process of being converted into a data center as well out there. So, but yeah, no, they're popping up everywhere. It's just, it seems like finally, I guess, there's a more widespread public understanding of what it means. when a data center pops up. And it's, I was talking with someone on the team about this. Data centers have existed forever, right? And it's interesting.
Starting point is 00:05:16 A lot of them. Yeah. And they, it's just like this particular type of data center for AI processing, it rightly gets a much worse wrap. And it's, you know, it's far more power consumption. It's more, typically more water consumption. And potentially, more land area.
Starting point is 00:05:40 And it's, they've sort of ruined it for the rest of the data centers that have been around since the beginning of time, I feel like. But, you know, they're all big structures. It's just these new ones, and particularly the AI processing solutions, tend to be louder and more power hungry. And so I'm just happy to see, though, that people are, you know, are finally informed on this stuff and showing up. I do like the amount of politicians that are like, no, it's good for jobs.
Starting point is 00:06:07 isn't good for jobs. Isn't good for jobs at all. Oh, it's good for the local economy. It's good for the local economy as long as the data center is being built and then that stops. And even then it's how good is the edge with the economy? We don't really know. And it's frustrating to watch this happen because it feels like something about data centers is just corrupting everything. Like it corrupted.
Starting point is 00:06:28 I remember watching your video earlier today, watching Lisa Sue talk about this, like watching Lisa Sue of AMD, who was, before this, I would have genuinely been like, that's one of the good CEOs, she's a smart one, she doesn't give in to marketing hype, she's a no bullshit person. Listening to her talk about this stuff, it's like she's been huffing paint. Yeah, she was pretty well liked. I mean, my experiences with AMD over the years have been mixed, but broadly speaking, AMD has at least maintained the appearance of, if not the actual practice of being sort of an engineering first company. And Lisa Sue technically comes from an engineering background.
Starting point is 00:07:17 I'm sure she doesn't do a lot of it these days, but that still counts for something. And so does Jensen, to be fair to him. But yeah, Lisa over the last year or so has shared the stage a lot with Michael Cratios from. the White House to talk about their AI action plan. And in that plan, they describe things like getting clean water and clean air regulations out of the way of data center construction. Good.
Starting point is 00:07:46 Oh, good. Yeah. Yeah, I mean, of things to put in your press release that would make a PR person go, wait a minute. So the clean air part, how are we going to spin? that exactly. And they're like, well, AI will make more clean air. Right. Maybe.
Starting point is 00:08:09 Yeah. And it's so funny as well, because rewatching that video, I've seen a few of these clips of these various executives sounding like they're part of a doomsday cult or what have you. And it's so strange watching people that even two years ago were like, yeah, and here's that they're talking about things like inference and high bandwidth memory and like the actual financial, sorry, the actual technical features. AIGPUs to just speaking in financial generalities. It's like, it will be a $30 billion, $150,000
Starting point is 00:08:38 trillion dollar time industry. It will be so big. It will be so huge. We love it. And you made the point, it's become more about financial engineering than electrical engineering. Yeah. Yeah. The whole thing feels like we've completely lost the plot of any of the technology. Like, I, with some exceptions, I almost never hear these executives now when they're doing their various podcasts, which by the way, they've all gotten really onto the, like, podcast and TV show and a lot more appearances than I've really ever seen from a lot of the CEOs. Normally, they've historically kind of only wheeled them out for the big keynotes and then they disappear for six months. So that's been different too. but yeah it's out of all the appearances from jensen and lisa and everyone else sam altman especially you almost never hear anything actually technical now it's all how many billions of dollars or how many
Starting point is 00:09:39 gigawatts and that's kind of the start and the end of the conversation occasionally they'll talk about how it's going to create a bunch of plumbing and electrician jobs while kind of you know skirting past the fact that those will last for a couple years at most and then it's, you know, the structure is built. So those jobs go away. But to your point, I, yeah, I think it's a, the engineering side has completely faded, which I wonder if I'm, I'm not that well informed on sort of the dot com era technicals, like how it actually built up.
Starting point is 00:10:15 Obviously, I'm aware of what happened. But I wonder if you look back then, you know, do you see a similar trajectory? Is it like it starts rooted in technicals and then that falls away over time and it becomes just pure money? Or is this different the way it's being discussed? Looking back, the early days of the internet were so vestigial that almost every article was basically re-explaining what the internet was. And the way they talked about it was in these vast generalities of like, okay, well, so there's this, that, like just vaguely like, yeah, the internet, you know, it's going to be pretty big. or they'd get into very big ethical discussions. And a lot of the original pushback on the internet was,
Starting point is 00:10:57 hey, we're just going to create a giant swamp of unverified information. Is this a problem? And people were genuinely like, shut up, you fucking idiot. That'll never happen. It's so funny, the pushback on the internet back then was actually quite smart. But for the most part, people were like, yeah, this could be anything. But when you read the articles about like Winstar, which was a telecoms company that basically was in a circular relation,
Starting point is 00:11:21 where it borrowed money from Lucent to pay Lucent, and then use that money to pay Lucent back for the loan that they were used to pay Loosum. And when you read their articles, fun fact, the only time I've ever been able to find a bubble where someone mentioned annualized revenues. Oh, the only other time. It's the same bullshit. But it would be like, yeah, and they're going to blanket the entire country with these dishes. They're going to be everywhere.
Starting point is 00:11:44 It's going to be that it was very highfalut and very big numbers, but very, very light on the technical details, still heavier than it is now. Because the funny thing is, if we think about this 30,000 foot view, taking away my critic glasses, putting on the booster glasses I use and all you can see is yellow and blue, the thing that I think is, isn't this the time when the technology is the most important? Because they haven't made this profitable yet. They really haven't. Like, it's very obvious they haven't.
Starting point is 00:12:15 And I keep, every time I read about like Vera Rubin, for example, next generation GPU is Vera Rubin. Right. Every time I read about them, I get the same shit, which is, yeah, they're 10x more efficient or 25X. And also they're 25X more efficient on deep seek R1, a year and a half old model. And yeah, you can't, like we haven't benchmarked that. It's not like we could benchmark with Anthropic or Open AI, because if we did that, you might find out they're unprofitable. And it's just, every time you, it's like a, it's like being in a bad relationship where you don't want to ask the questions that you know would end it. Do you know, have you noticed the sort of dual narrative lately where, uh, because you were just talking about how, you know, it'll be 10x, the performance of whatever. So there's a performance number there. But then at the same time, I don't remember if it was Corweaver who it was just last week. I saw a, an interview with some of,
Starting point is 00:13:15 executive who was talking about the cost per GPU hour being $2 previously and now those devices are $4. I don't know if this rings a bell to you, but... Yeah, yeah, yeah, yeah, no, I remember this. Yeah, and so the narrative that was being constructed by that interview was one of, look, even the old, the comparatively ancient technology from somewhere between, you know, three and six years ago, is more expensive now or is more effective now and is still useful. And then obviously on the other side of it, you have the fomo of you need the absolute newest if you're a Rubin or what the fuck are you even doing. Right. And so it's just, it's a
Starting point is 00:13:58 have your cake and eat it too set up on the GPU side. But on the consumer side, like the end user side, all I saw with that, our old GPUs are worth more than ever conversation was like, oh, this is bad. This is like, because now, now you're just, you're, the last bastion of hope, I think, for consumer pricing was, okay, well, maybe we'll get the scraps from last generation. And now they're saying they even need that. Well, the thing is, there's a few wonderful parts of this. Number one is, I saw that it was saying there was like, you're getting,
Starting point is 00:14:36 instead of getting two something per black well, you're getting four something an hour, right? Right. That is not enough to cover the costs. That's not even fucking close enough. I have an Oracle contact who told me, and this is someone with actual Infra experience, they were saying that it costs like $6 something an hour in OPEX just to run a GB300. Wow. So I don't think four bucks an hour is going to do it.
Starting point is 00:15:02 And this is the story. No one really wants to talk about this one as well. It's like, yeah, when you're selling spot pricing to the desperate, you can make more money. But when it comes to the longer ones, when it comes to the longer duration contracts, the cost drops. It drops dramatically. Oracle charging two something an hour per H100 GPU and H200 GPU for Open AI with their contract. And again, no one really wants to talk about this because it's like, if you're getting two to four dollars an hours for this shit, okay, so maybe you'll break even in 10 years if you have constant. utilization.
Starting point is 00:15:40 Right. If that works. And even then it's like, wow, you have a gross margin of 30%, mate. You want to start an airline? Like, what the fuck? This isn't really much of a business. But then you go and you hear these things that Lisa Sue, or Jensen Huang or Sam Orpunner are saying, it's like, yes, it's the next industrial revolution.
Starting point is 00:15:58 It's going to be huge. You're going to make so much money. Everyone's going to be rich. Everyone's super rich. Everyone's so buy a GPU, buy seven of them, buy as many as you can. We need to sell them. And it feels like living in. an alternate reality sometimes.
Starting point is 00:16:11 Yeah. The math isn't that crazy to me. You know? Well, I think it's also the government investment in all of this or the increasing government investment or the individuals in the government invest in not in a capacity. Oh, yeah. I mean, well, Trump's investment in invidia. Right.
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Starting point is 00:19:58 Ordered. Listen to Wellness Actually on the Iheart radio app, Apple podcasts, or wherever you get your podcasts. I was talking with someone on the team earlier today, and he made the comment. He was asking me. you know, if there's all these data centers and this massive demand for storage now as well,
Starting point is 00:20:29 if the average person is using chat GPT or Claude to make a spreadsheet at most or be a chat bot, you know, at least, like that doesn't require all that processing power and storage. And so what is it? And then to me, it's, I don't know if this is too conspiracy brand or not, but the dots I'm connecting are the government's really invested in the success or at least the prevalence
Starting point is 00:20:57 of data centers and AI companies some of that could just be as simple as no administration wants the economy to fail on their watch so you know they're invested in it but also you see stuff like flock cameras popping up everywhere in axon cameras and drones and all of that that's what requires
Starting point is 00:21:17 data centers like that's does it though oh yeah to process Does it require the GPUs, though? I think, so it's two things. The storage definitely is the... That's easy. But you don't need an AI data center for that. I think the only reason you might, and this is still something I'm kind of playing with the idea of, so I'm not sure on yet.
Starting point is 00:21:35 But I think the reason you might find the GPUs useful is to start connecting large, complex matrices of information you have on people or object to each other. Like, this is something that, you know, this is, this is something that GPUs should be good at. In theory, but this is the thing, though, to push back on this, because I do get a fair amount of emails, people saying, this is, this is, like, this is the thing I'm afraid of, the government surveillance. Ah. The department of, I think, like, there's multiple different government agencies that work directly with Oracle and already have, and already have that. Like, they already have, like, bunch of. GPUs. So if they were going to do this, they were going to do this. They probably already done it. Right. Well, I think the difference is a lot of this new stuff is being rolled out by
Starting point is 00:22:29 private companies in large volumes, you know, just like the cameras alone. I don't know, something like six months ago, it was 80,000 flock cameras and now I'm not sure what it is. It's definitely well over 100,000. And it's a private company. There's a lot of data. I'm not sure to what extent they currently process this stuff, but definitely to process image or visual recognition data against video frames is a very computationally intensive task that would require data centers. Right. But I'm just saying that all of these data, you don't need all of these data centers for that.
Starting point is 00:23:15 No, definitely not. And you definitely don't. And it's not like they're doing CDN shit where they need to have it delivered to all points of the world. I'm not saying that this could never happen. It's just the, I don't think the reason they're building all these GPU data centers is because of that. I think they're doing all of that because they don't know what they're fucking doing. Well, yeah. I think it may actually just be really simple. To be clear, I don't think they're trying to, they're building all of them for that. I think that is a use case of them. and is a reason that, you know, government may be interested in being invested as well. So, yeah, by and large, no, that's not like the main use case.
Starting point is 00:23:52 And you see things like, it's kind of the same discussion as the taking ownership of software and hardware into the cloud where, no, they're not building all of the data centers to take gaming away and put it in the cloud. That's like maybe a couple here and there for G4 now, right? But it's just another use case where, I don't know, it's kind of like, I guess what it comes down to is whatever the problem is that you have or think you have as a private business or a government, the data center is going to fix it for you.
Starting point is 00:24:23 Right. It's the panacea for your business, even though when you go and look at the actual returns to businesses, there was an open AI study that came out that said, it said it's hilarious. It was like there is no connection between revenue
Starting point is 00:24:37 per employee and the amount of tokens used. Okay. Four years. in. Four years in. Four years. And where are we? We're here. And we are nowhere. We are absolutely fucking nowhere other than the fact that Jensen Wong has to create like some sort of weird financial engineering, not quite Enron, that sort of Enron-esque, Enron adjacent thing to sell as many GPUs as possible. Can I ask? So as, as the, as, as, the person I know who is the most knowledgeable on my favorite company, Enron.
Starting point is 00:25:17 To you, what's the, what would break the dam? You know, what bridges it from being Enron-esque to being more actually just, no, this is literally Enron. Like, this is what they did. You know, what's the defining or what's the distinct feature that we're missing? If I'm Jensen Hwan and I say to you, Ed, you say I'm Enron to ask, I really just want to be Enron. You know, what do I need to do to get there? And the thing is, the thing is, though, like Enron was just nakedly illegal.
Starting point is 00:25:52 Like, that's the big comparison thing. It's like Enron would take these SPVs and take their debt or their bad parts of the company and just dump them there and be like, ah, look our business, this is fucking brilliant. There's nothing wrong with this. I think that this is an opinion with no, with absolutely no financial information that I found, just looking at the financials from OpenAI. OpenAI has a weird thing in their financials that I've mentioned, which talks about moving losses onto different entities.
Starting point is 00:26:21 That's, that's weird. That's, I can't say it's Enron, but it smells like it. Invidia, on the other hand, has been smart in the, they never, invidia never uses its credit. Invidia always gets something, they invest it for this, so, for example, this SB Energy deal. Nvidia is guaranteeing they're investing one and a half billion dollars in SB Energy who's building the data center and they are guaranteeing the value of the data center up to $106 billion if it gets completed. Now, because we have financial markets and credit markets run by people with no object permanence, they see that and they go, well, invidia has guaranteed that this data center will do this. They don't make the link that what happens if the data center doesn't get built. Okay. And the other thing that Nvidia did there is they said, okay, well, if OpenAI can't rent this, you can try and find someone else.
Starting point is 00:27:15 And if you can't find someone else, we will pay you the difference between whatever you can sell it for and what it sells and what is $108 billion. Again, moving, never quite enroning, never enroning up. They're very careful to not go full Enron. So is the full Enron really that leap into just distinct illegality? Yes. And that's why, so for example, with Enron, they were just committing fraud. Okay. Enron never published a balance sheet or like, which is fucking crazy.
Starting point is 00:27:48 Like anyone who saw that company was like, oh, they didn't publish a balance sheet. That's fine. Kind of should have seen that coming. Right. Kind of should have seen that one. That being said, I've said this in the premium recently, there are a lot more like General Electric, who would just invest in their clients, lend them money. Again, Nvidia hasn't lent money.
Starting point is 00:28:08 That's where they're really, they've been quite smart to not actually become a creditor. So they backstop a Corleave lease, as in they agree to pay if Corleave can't pay. They invest in Corweave. They are, instead of offering up their credit, they're like, we agree to buy a certain amount of compute from CoreWave so you can say Corwive has revenue. They exploit the financial system. Or the Juan Foundation, of course. Oh, God, I forgot about that.
Starting point is 00:28:36 So wait, what is the, they rented through Corleave, right? That's his weird nonprofit. Yeah, I think that's what the connection was. I had researched it a while ago for a video. It's been a while. But, yeah, so the Juan Foundation is some kind of nonprofit. They also rents from CoreWave. Yeah, and it's, and they basically say, you know, we're renting this GPU capacity.
Starting point is 00:28:59 for, I think it was for students. Yeah, they donated $108 million worth of CoreWeave AI computing resources for research. Which is just like so crazy to me because it's... That's so beautiful. Yeah, you have this, on one hand, you run and own part of a company that sells the GPUs. The other you've got this foundation that's supposed to be, you know, your own thing. and then it's getting involved with the customer of the first entity to create demand for the customer that's buying from a company.
Starting point is 00:29:39 It's all legal. It's all legal, baby. Don't worry about it. It's all legal. It's totally fine. It's all good. Don't worry about it. It's fine.
Starting point is 00:29:50 But this is the thing. When you push back on financial journalist, business journalists about this, that's what they say. it's all gap legal. It's totally legal. There's nothing illegal about this. And it's as if if something isn't, if something isn't literally illegal, then it's okay.
Starting point is 00:30:05 Then it's totally fine and actually people should do it more. And it's not a bad sign if, what, I think like 12% of Corwe's revenue comes from Nvidia. It's largest supplier. Well, Jensen did say, we played that clip again in this video.
Starting point is 00:30:22 Oh, yeah. Yeah, he did say something to the, effective with that on video, they don't exist. You know, some of these... Yay. It's just, look, I love that. I love that shit.
Starting point is 00:30:33 I loved it because it's just like, wow, okay, you're just saying it because you know, this should, something like that should have the SEC go, and like, whoa, whoa, what do you mean you're doing that? Because I swear there is regulation around round tripping. Yeah. That's meant to be. I believe, maybe. I mean, who gives a shit, right?
Starting point is 00:30:54 It's so much of it is when you go to the AI boosters, you're like, yeah, this is a problem that go, it's actually great. I saw one of our favorite analysts that Daniel Fettler the other day posting like, people will criticize this is circular financing, but what I see is one of the most successful venture capitalists in history. And it's like, yeah, true, the balloons that the clown inflates are so full of air as long as the clown keeps inflating them. I like what Jensen was asked by Axios, you know, about is this a buggler or something like that? And Jensen made his comment of, well, the bubble will come someday, but not today. It's not today, but it's in five to ten years. Yeah, and he describes how we're in the beginning of it. The next word started with a B, and I was like, please be bubble.
Starting point is 00:31:48 But he said build out, unfortunately. And the, I don't know, you could see it. First of all, I don't want to like analyze the body language, really. But he did definitely have kind of a, it was a very measured, I need to carefully think about this answer. Just imagine, call it Cress with a gun. Just let a CFO, it's like, don't say it, Jensen. Well, he said the other day that compute should become an investable. asset class.
Starting point is 00:32:23 And it's just the, it's just the, exactly. Well, it's the people who are like compute should be traded like a commodity. And it's like, gun to your head, tell me what you think compute means. Yeah, what is that even? What is compute? As an asset class? Well, asset class, GPUs should be traded as that, but also compute should be sold as a commodity.
Starting point is 00:32:42 None of these really make any sense. If you think about it for even one second, it's like, does that mean I need to declare my storage room full of GPUs we've tested as some form of some separate line item on the taxes going forward because of the theoretical compute they could produce.
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Starting point is 00:33:49 Here's what you missed. And the argument is, do you want to win? If you don't win, you have no power. It's real. Those are the very people who I always, say vote against their own economic interest and they complain about the very thing they're receiving. It's raw. I knew that the
Starting point is 00:34:06 issue of transgender athletes was not going well with a lot of black men. Roland Martin unfiltered. I went off, I said this is exactly what I'm talking about. Y'all going to scream at Chanel but you don't want to see a black
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Starting point is 00:34:46 Well, it's that time again. Backpacks, First Day of School outfits, and the low-key anxiety of, am I even doing this right? Good Mom's bad choices is diving into the back-to-school season the way only we know how. Unfiltered, funny. and full of the moments other shows won't touch from surviving morning drop-offs
Starting point is 00:35:05 to the guilt of missing the first bake sale. I already told me that next season she wants to join a club team that's by your house. So I was like, so you want me to pick you up from school? I'll take her by my house. But then I have to take for there and then I have to drive back.
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Starting point is 00:35:37 Listen to Good Mom's Bad Choices from the Black Effect Podcast Network on the IHeart Radio app, Apple Podcasts, or wherever you get your podcast. I'm Emily Oster. I'm an economist and data expert. And I'm Perry Wilson. I'm a medical doctor. And this is our new podcast, Wellness Actually. Because you're getting a staggering amount of health and wellness information nowadays, and some of it is awesome. And some of it is, well, actually, bullshit.
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Starting point is 00:36:27 So join us for a weekly dose of sanity. It might actually be just with the doctor. Or the economy. ordered. Listen to Wellness Actually on the Iheart radio app, Apple Podcasts, or wherever you get your podcasts. Well, the famous thing towards the end with Enron, though, and just to be clear, Nvidia is not trading compute,
Starting point is 00:36:55 but towards the end with Enron, they were going to trade bandwidth. Hmm. I mean, if Jensen gets it, I mean, we've already got some people trading power. You've got meta doing it, Apple doing it. So we've already got a little bit to look forward to there. But the other thing is, if I want to see, I personally want to see Nvidia do more financial engineering. I want way more than this. I want to see Nvidia just buying compute from itself at this point.
Starting point is 00:37:24 I mean, they're not far from it. But yeah, the energy stuff too has been kind of wild because the government is getting really involved there. You know, like months ago, Trump talked about the, sort of early concept of the B.Y.O. Power Plant plan. Which is what? Sorry, I must have missed that one. So basically, that's my name for it. But he, the plan of companies to provide their own energy. So if they need energy for their data centers, then the companies are either, or through one form or another, going to provide that energy. And the sort of PR play was that this would help prevent rising energy costs on residents and locals.
Starting point is 00:38:14 And when I say PR play, I mean, President Trump literally in the meeting said data centers need some good PR right now. I mean, calling balls and strikes there, Mr. Trump. And so the concept of, you know, the data centers will be more responsible for bringing online and provisioning their power that they need, which. I could certainly see how if that's the start work. Well, I mean, that's definitely the first question. But from a PR standpoint, I guess if you strip all detail out of it, you could see how that might win some people over if they don't really think too deeply about it.
Starting point is 00:38:56 It's like, oh, okay, yeah. I mean, so they pay for their own shit and I don't have to pay for their energy uses. Right. But energy is like a terrifying thing to not be fully regulated. Like energy is dangerous to do wrong. Like actually dangerous, you know, can kill people. But also just, there's only so much of it. Like, it's, I think people, AI people especially really underestimate how difficult power
Starting point is 00:39:19 is. Yeah. Like they're just like, oh, yeah, you know, he's just fucking stye up and he just boom. Right. Just fucking, do you want, you need some power or something? What's your way of being a dick about it? Just fucking, you know, just. Well, that's all the gas turbines, right?
Starting point is 00:39:33 If you just drop gas turbines on the roof of a data center, right? So the crazy thing. I read the story the other day where it was saying, the gas turbines are dying. Because they're not meant to be run. They're not meant to be run all the time. Yeah, they're supposed to be for emergencies. It's like stuff that FEMA will, you know, will deploy.
Starting point is 00:39:55 And they're everywhere. I know it's Stargate Abilene. They're everywhere. They've got them all over the shop. It's just so straight. I mean, you are a dyed-in-the-wall hardware guy. You've been dealing with hardware for years. And I think you've successfully gotten onto the fact that this.
Starting point is 00:40:09 is no longer about hardware or jpues or anything it's about it's about money money yeah yeah the technology stopped mattering i mean they don't even really even in the keynotes now which i still watch really closely man jensen used to be so technical even with the early machine learning and deep learning stuff before they rebranded to i i was at some of those earliest conferences he did I was at the really awkward GTC where he and Elon Musk sat across from each other on stage. And that was a, I could feel the secondhand embarrassment from just 50 feet away from them. And all of that, there was always pandering to investors, but there was also a lot of technical detail. Like I could walk away from a keynote and write a really dense write up about the architecture.
Starting point is 00:41:06 of some brand new thing they just announced. And now there's, like, I'll watch a keynote. And at the end of it, I'm like, I honestly, I don't even know what the difference is between this generation, the last generation, without going and looking up a white paper. You know, like it's, they've stripped it all. And there's still technology there, but. Somewhere. It just, yeah, it just doesn't matter anymore, which is real depressing because it's like,
Starting point is 00:41:30 even if I want to cover the pure technology side of the architecture, it goes into enterprise products and then say to the audience, you know, well, we cover this stuff because hopefully this comes to consumer at some point, some capacity, which is typically how it's been done in the past. Even if I want to do that now, it's like they're not even really putting the effort into making those materials as widely available as they used to be because it doesn't matter. Only the money matters. I just don't see how they sell all this. Like I've been digging into Broadcom recently and all, like pretty much every time you read about a semi- We conduct a company, or specifically AMD and VIDIA and Broadcom.
Starting point is 00:42:10 It's like, yeah, and I mean, for the future, pretty much we need, I don't know, everything to go perfectly for the next three years because all of our revenue growth is coming from only this. Like, Broadcom, I think, is, I think, like, over 60% of their revenue in the next few years is coming just from AI, which is mostly coming from Google's TPUs. I mean, I don't know. the thing that comes to mind, like when you said that everything needs to go perfectly for three years, it reminds me of just when I played games as a kid, like board games. So chess or Magic the gathering or something, but chess in particular, where, you know, you're a turn-based game. It's like you could come up with this master plan of how you're going to win as long as everything goes perfectly and they move their pieces in exactly the wrong way for the next, you know, 30 minutes.
Starting point is 00:43:01 but that's just not how reality works and it does seem like these companies right now are I don't know if they're sometimes it feels like watching Jensen some of the other like open AIs you know Sam Altman speak it feels like there's a little bit of
Starting point is 00:43:21 acknowledgement now of things might not go perfectly but we just kind of need to keep the facade up long enough until there's some major breakthrough where we can get more money pumped into the system. And that's kind of what it feels like I'm watching lately is the sales pitch for we need to to dig up the next 100 or 500 billion dollars. We need to make this all work perfectly without fail is pretty much it.
Starting point is 00:43:47 And even when they ask about, they usually, if Sammy's done this, Jensen's done, it's like, yeah, you know, some people will run out of money. How'd you like Sam's new comments about? What, the genie? Well, the genie was, that was a pretty good one. But also the comments about how some descendant of chat GBT will be able to see everything you ever do on your computer screen. He's so good at this. He's so good at this because it's like, I'm sure you remember when Microsoft did, they announced Microsoft recall.
Starting point is 00:44:21 Yeah. And everyone's reaction was, I'm going to kill you. I'm going to burn down your house. Do not touch my computer. I will murder you. and Microsoft, who could push through just about anything, we're just like, no, we're just going to skip this. And then Open AI turns up about a year later and goes,
Starting point is 00:44:37 fuck yeah, bro, fuck me up. We're going to look at everything you do. And Orton is there being like, yeah, we can see everything you want you do, everything you've done, and suggest you could do something else. Which is great because, again, it comes back to the classic thing of AI. When we think about AI as a society, it's a cultural thing. We think, okay, AI, it's this thing that just knows. everything without us telling it, make smart decisions without us really having to. But this AI is,
Starting point is 00:45:04 feed as much data as humanely possible to this and maybe it will work one day. Yeah. Well, and you also see this and things like this video is not up yet for us. And I don't know, when you're airing this episode, so this might go up a little before us. But we have a deep dive into some specific smart TVs right now and other devices. And if you're a few really, really go through the privacy policies of these companies, the stuff they tell you they're doing is crazy. And that's the stuff they tell you they're doing. And it's all data collection and data harvesting. And now, of course, they've all got AI tacked onto it. You know, there's, in one of these smart TV companies, they have a special exhibit for their AI features, like Exhibit A,
Starting point is 00:45:51 AI-connected functionality, and you read through it all. And it's just, it's, they straight up, say, we sell your data. Well, that's good. Yeah, it's right there. And this coupled with things like ACR, automated content recognition, which, depending on the deployment, has the capability
Starting point is 00:46:14 of screenshoting what you show, what you have on your screen, on your smart TV in some cases, and transmitted it back to be analyzed or converting it technically into a fingerprint transmitting that back to be analyzed. All of this is mountains of data, They all really want to deploy AI to process it.
Starting point is 00:46:32 We've received some tips from viewers who say that for now. They're hiring staff to manually parse advertising profiles for TVs by looking at the screenshot data and stuff like that. But the goal is to move it all into some kind of LLM that just magically does all this for you. And I guess that's kind of the dream client for a company like OpenAI or Anthropic. But even in that dream client scenario, it's just
Starting point is 00:47:00 wanted to B2B use and two it's like a strictly evil use. Yeah and it's also, I don't know, they've yet to do it. I feel like if they had a super secret source that was great for surveillance that worked really well in it, someone would be buying it
Starting point is 00:47:16 and paying more for it than the cost of operating it, which when the direct opposite seems to be happening, it seems to people that you, when you talk to, when you talk to when you talk to like an average enterprise customer, it's like, yeah, AI costs are already too high. Why do you do it? Well, all my friends are telling me I have to do this. If I don't do this,
Starting point is 00:47:36 I'll face competitive pressure from people that are yelling about how good AI is. I have an interesting one on that. Oh, go on. Yeah, I have a friend who works at a game development company and a pretty large one. And so the directive, as I understand it from internal now at this company is, that AI use is an expected part of their job, meaning if they don't find ways to burn tokens on queries, then they're not doing their jobs. Great.
Starting point is 00:48:10 Yeah, and so the internal move for management has been, everyone is sort of in this, your mission is to figure out, could AI help you with your job, by which they mean try to get it to do your job, and then present that to management. And if the answer is yes, I guess we'll see what happens to that job later. Yeah, good luck on that one.
Starting point is 00:48:35 Right, but it's just the crazy part to me was even the people who don't want to use it in a creative field for a distinctly human thing, like creating art of some, you know, writing or literal art or whatever, for that field that's even if you don't want to use it. used it, you have to because the executives have decided that this is how your job is to be done. I guess in their eyes, it's like refusing to use your email or something. I don't think they do any real work, so the bosses are just like, the bosses are just like, I just use this thing. Because I read this, Nick Suresh, who was on the show a few weeks ago, was talking about this how there's just this corporate pressure that if you are not saying you're using AI in the loudest voice possible, your peers will say they use AI more, and then people will
Starting point is 00:49:31 get mad, and that there's this chain of this kind of dereliction of duty, where everyone is saying they use AI so that no one else, no one will ask the question of how useful it is, or when they do, they just go, that is somehow like a hundred percent, a hundred times more profitable, of course, the productive side of the business is just number go up, so big. Right. But it's so fitting to me that, because what you're describing is sycophancy, you know, where if telling the executives, yes, I'm using it and it's great and it's making me so productive, even if it's not true, that's sycophancy, which is just there's something, it's just, the irony, I guess, is perfect, where it's like, because AI, LLMs as they're deployed by and large, are sycifancy machines. Yes, they're glazing machines. Right. We didn't talk about this one yet. Sam Altman's tweet from a couple weeks ago when he said he had a great idea after talking to some people about what happened. Oh, God. Yeah. I know the one. No, hit me with it. He had a great idea after talking with some people at work that what if you asked your kids about their day and about things they were interested in and then you used AI to generate a podcast to maybe talk about one kid's birthday and the other kids. kids' upcoming sport events.
Starting point is 00:50:54 And then they can listen to this podcast that you've generated for them on the ride to school. Right. And there is, of course, no other way to do this with your child. No, no, you wouldn't want to talk to them. No, I mean, like, you could, you could like, maybe you could talk to the child. No, no, no, no. No, how else would you focus on business? Right.
Starting point is 00:51:18 Yes. How else would you focus on business number go on? And I think that was one of the highest liked replies to him, which I guess is the currency of our world now. But, you know, where they're like, or you could talk to your kids. But even if you do this idea of his, the thing I would worry about is like this is, it just seems so bad to just pipe the sycophancy machine at children. I mean, if you let children use this shit, you are doing a bad job as a parent. I'm sorry, unilateral on that. Fuck you.
Starting point is 00:52:01 You shouldn't be using, this is a bad thing for adults to use, and it's even worse for children that do not have, I don't know, any of the potential ways to protect themselves. Right. Yeah. Well, you know what, Steve, let's wrap it there. Now we've, on a happy end. Steve, where can people find you what you're working on at present? Give yourself a shout out. Uh, Gamer's Nexus on YouTube, and we're currently working on the, uh, the smart TV investigations. That'll be up soon.
Starting point is 00:52:29 And what are you investigating there? The, uh, the capability of converting smart TVs into, uh, covert listening devices without your knowledge. Very cool. I look forward to watching that and screaming. Yeah. I'm of course, Ed Zitron. You'll find me at, at Ed Zitron on basically every platform. We'll be back with a monologue this Friday, of course. Thank you so much for listening. I love you all. Thank you for listening to Better Offline.
Starting point is 00:53:04 The editor and composer of the Better Offline theme song is Matt Rosowski. You can check out more of his music and audio projects at Mattisowski.com. M-A-T-T-O-S-O-S-K-I.com. You can email me at E-Z at Better Offline.com or visit Better Offline.com to find more podcast links and, of course, my newsletter. I also really recommend you go to chat. Where's Your Ed dot at to visit the Discord. and go to our slash Better Offline to check out R-Reddit. Thank you so much for listening.
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Starting point is 00:54:14 They change all of that? Yes. It's real. This is a wholesale attack. It is targeting black people in every federal agency. It's raw. White folks have never allowed that reckoning to last more than a decade. Catch Roland Martin's daily commentary on the Black Information Network.
Starting point is 00:54:30 And download Roland Martin unfiltered on the IHart radio app, Apple Podcasts. Or wherever you get your podcasts. Hi, I'm Dr. James Stout. You might know me as a host of the podcast it could happen here. But I'm hosting a brand new show now called Natural Causes, where we explain how going outside is political, and look at how we can live together with nature and take care of one another in a world that's on fire.
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Starting point is 00:55:12 Apple Podcasts, or wherever you get your podcast. It's everybody's favorite time of year. Girls all over America are spending thousands of dollars at Kendris Scott, Lulu Lemon, and going crazy on Revolve. No seriously, guys, it is time for sorority rush. You'll learn about the sex lives of sorority girls. Plus, we'll reveal what frat boys really think about sorority girls. Listen to Dirty Rush on America's number one podcast network, IHeart. Follow Dirty Rush and start listening on the free IHeart Radio app today.
Starting point is 00:55:45 I'm Emily Astor. I'm an economist and data. And I'm Perry Wilson. I'm a medical doctor. And this is our new podcast, Wellness Actually. You're getting a staggering amount of health and wellness information and some of it is awesome. And some of it is, well, actually, bullshit. Fortunately, we're both people who know how to read studies and can tell you what's worth trying out and what you can safely ignore. Listen to Wellness Actually on the IHeart Radio app, Apple Podcasts, or wherever you get your podcasts.
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