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Podcast Episode Summary: Better Offline - NVIDIA Vs. The Media ft. GamersNexus
Episode Overview In this episode of Better Offline, Ed Zitron is joined by Steve Burke from GamersNexus to discuss NVIDIA's dealings with the media, the impact of AI on technology showcased at Computex, and the current landscape of consumer graphics. The episode dives deep into the nuances of NVIDIA's business practices and their implications for both consumers and the media.
Key Topics Discussed
- Computex Overview
- Computex is highlighted as the largest computer hardware and technology trade show, focused more on consumer technology than enterprise solutions.
- This year, AI dominated the main hall, pushing out many consumer hardware manufacturers, leading to dissatisfaction among them.
- NVIDIA's Interaction with Media
- NVIDIA Review Samples: NVIDIA sends out graphics card review samples to select media outlets, which is a common practice in the industry.
- Allegations of Manipulation: Steve discusses instances where NVIDIA has pressured media outlets like *GamersNexus* to shape their editorial direction, particularly regarding coverage of technologies like MFG (multi-frame generation).
- Example: NVIDIA previously pressured Hard Run Box to change their coverage to favor real-time ray tracing, which was primarily beneficial to NVIDIA hardware.
- MFG Technology Insights
- MFG is part of NVIDIA's AI suite and aims to interpolate frames to create a higher apparent frame rate.
- Concerns were raised regarding MFG's effectiveness and reliability, with instances of it causing visual artifacts in games.
- The Impact of AI on Graphics Technology
- The integration of AI into NVIDIA's products is scrutinized, with discussions about how it is changing the benchmarks for performance.
- Concerns over the quality of AI-generated enhancements versus traditional rendering methods.
- Corporate Accountability and Independent Media
- Discussion on how larger tech companies, including NVIDIA, may be undermining the credibility of independent media by using leverage over their content and coverage.
- The potential future of media relationships with tech companies, especially as new creators enter the market.
- Trends in Consumer Graphics Cards
- NVIDIA's market dominance is noted, as they hold approximately 92% market share in consumer GPUs.
- Concerns about the future of consumer graphics as the focus shifts towards more lucrative AI applications, potentially neglecting everyday gaming and consumer needs.
- The Future and Ethical Considerations of AI
- The conversation shifts to broader implications of AI in media and consumer interactions, emphasizing the risk of manipulation and misinformation.
- Ethical considerations on how AI tools may influence art and creativity, as well as potential copyright issues.
Key Takeaways
- NVIDIA's Business Practices: The episode reveals concerns around NVIDIA's interactions with media and practices that could compromise journalistic integrity.
- AI's Role: AI is reshaping technology and consumer expectations, but there are significant quality concerns regarding AI-generated improvements.
- Market Dynamics: The discussion paints a picture of a monopolized GPU market with risks associated with diminished competition and innovation.
- Media Evolution: As new creators enter the tech review space, there is a critical need for maintaining independence from corporate influence.
Conclusion The episode provides a rich exploration of the interplay between technology, corporate practices, and media integrity, urging caution and awareness among consumers and creators alike. It is a call for transparency and accountability in an industry where the lines between marketing and genuine technological advancement are increasingly blurred.
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Links
- [GamersNexus YouTube Channel](https://www.youtube.com/gamersnexus)
- [GamersNexus Website](https://gamersnexus.net/)
- [Better Offline Merchandise](https://cottonbureau.com/people/better-offline)
Host's Socials
- [Ed Zitron on Twitter](https://twitter.com/edzitron)
- [Ed Zitron on Instagram](https://www.instagram.com/edzitron)
*For more information, visit the [Better Offline website](https://www.betteroffline.com).*
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00This is an iHeart Podcast.
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2:15Wells Fargo, the bank of doing. Learn more at wellsfargo.com slash saydo. Support includes contributions from Wells Fargo & Company and the Wells Fargo Foundation. Call Zone Media. Hello and welcome to Better Offline. I'm your host, Ed Zitron, and this week we're joined again by the wonderful Steve Burke of Gamers Nexus.
2:45Better Offline. How are you doing, Steve? Doing well. How about you? Doing great. So you were just at Computex, right? Yes. Yeah, we were over there for a couple weeks. So for the listeners who don't know, because there's a fair amount who don't know every conference, so what is Computex and what makes it so important? Computex is the, I think it's the largest computer hardware and computer technology trade show. So that's hosted in Taipei every year. And it's like a much better CES. People may know CES. And is it more focused on enterprise stuff or consumer stuff? This year, weirdly, AI commandeered the entire main hall.
3:30So there were actually a lot of pissed off consumer hardware manufacturers who were sort of evicted and driven out of the main hall and put into the lesser one with consumer hardware. What were they even showing with the AI stuff as well? I mean, one company had an AI computer case. Oh, how did that? What's the AI doing there? Absolutely no idea. Sick. It's so cool that this is absorbed. It's also kind of brutal that that's literally absorbing space. Yes. Did you see anything cool there, though? Anything you're excited about? Yeah, there's a lot of cool stuff. there was some immersion cooling which is always nice to see where they actually literally immerse the system in fluid for cooling there was a thermosiphon from Noctua which is just a really cool use of it's another cooling technology lots of computer case and cooling solution development and then on the GPU side I mean Nvidia sort of buried its 50-60 launch and then And AMD more formally announced the information for its 96DXT.
4:40And both of those are sort of the slightly more affordable consumer class GPUs. Yeah. So NVIDIA also was doing some funny business with you recently. You did that wonderful video. So walk us through what happened there. Because they tried to big dog you, so to speak. Yeah. So the problem we had with them and we talked about was for several months, there had been this, I felt sort of pressure from NVIDIA with where... So NVIDIA, for context for people, NVIDIA sends out GP review samples. We and other reviewers are not entitled to them. That's fine. We can buy them ourselves as well. But they send out samples for product reviews.
5:21And in the past, NVIDIA has been in hot water for asking another outlet called Hard Run Box to, I believe the quote was, or the paraphrase was, change your editorial direction. Yeah, and so that was several years ago. And what did they ask them to do back then? Back then, it was seeking more coverage of real-time ray tracing in video games, which at the time was more or less only found in any kind of meaningful performance on NVIDIA hardware. but also and the reason um at least we weren't ready to fully do testing for real-time ray tracing yet was because it just it wasn't ready yet i mean there weren't that many games with it you couldn't really test it because you couldn't use it yeah i mean they launched and if i remember correctly there were actually zero games that supported this technology and the only thing available were sort of tech demos and so anyway that that was what they wanted then right they kind of went away didn't that's at least as far as we know publicly didn't try to push reviewers in a particular direction with their narrative or their editorial style uh and then over the last several months we were getting this pressure of of uh basically so we do a bunch of interviews with engineers and technical people at nvidia and i felt they were starting to use that as a lever to be like, oh, it sure seems like you like talking to the thermal engineers.
6:53It'd be a shame if something happened. And you did that very long one over with NVIDIA, right? You went and kind of looked at how the thermal stuff worked. Yeah, we did. I mean, they're great educational content. The engineers are awesome. And I've spent years working with mostly people who are in different departments or don't work there anymore to get NVIDIA on the same page. I'm like, look, we're not looking for a marketing puff piece. We're looking for actual engineers who just want to talk about the stuff they make and people can learn about it. But it's not like, obviously, yes, it can support the product by nature of if it's good and the engineers explain it well, then people will like it.
7:31But the objective is not just like, come on our show and use us as a platform to sell things. We want engineers, not marketers. Yeah. And so that was great. And the, like I said, lever that it became was they wanted more, NVIDIA wanted more coverage of this thing called MFG, which is multi-frame generation, which is something that Jensen Juan, the CEO, talks about on stage as being part of their technology suite that is, big surprise, AI accelerated, that effectively multiplies the frame rate. um to be used as a smoothing technology so it's this different is this different to like dlss and things like that or is that it is part of the dlss or the deep learn super sampling uh technology suite so it's sort of uh it's it's almost like um a subset of dlss right and so it basically just looks better at higher resolution it fills in the frames i'm guessing just trying to simplify yeah so yes the simplest version of it is mfg sort of interpolates frames so it's able to add in or insert additional effectively artificial or generated frames if you're trying to be charitable with it that are not literally built by the game engine and so the the gpu is working with its own software to construct these frames and construct pixels based on what it thinks is going to happen next and we've actually tested it and there's situations where it's not bad there's situations where it's awful like with any technology but what it does is it on a chart if you just look at the number that comes out the so-called frame rate or the amount of frames in a given period of time that looks higher with this technology but it's not measuring the same thing as something without this technology so it's effectively you know you're comparing apples and oranges uh if you try to put real frames that are rendered in the traditional way up against these generated ai frames that are effectively guessing at what they should look like and do they look bad as well like they can they can look really bad i mean we've done some testing where in some of the games, it's just like text, for example, will get completely garbled text on screen.
10:02Yeah, interface issues. It'll draw the interface in the wrong area. You could have a really bad blurring. It seems insanely bad for like any RPG of any kind or any kind of like Twitch. I don't know. It feels like anything you'd be doing ever would be ruined by that. Yeah, so there's scenarios where it works okay, but the RPG example you brought up so Final Fantasy was one of the games we tested where there's just areas I mean, I personally would turn it off it looks worse and I'd rather have a lower quote-unquote frame rate than have this sort of potential blurry mess every now and then. So strange.
10:41Low quality as well just a very strange thing to push out the door. Yeah, and the I think sort of finish the yes editorial narrative thing no i mean it's fine but i'll finish that first i'll come back to your comment you just made because that's also interesting but on the editorial side they wanted more coverage of mfg and we disagreed from a an objective standpoint you know i kind of made the case to them several times over several calls over several months of why we think it it just doesn't belong on the same charts as normal benchmarking normal objective testing and so there was yeah there's just a disagreement which is fine the problem came in when i felt repeatedly on various calls with the nvidia people that they were almost sort of holding hostage the idea of working with uh engineers again where it's well the way we're able to make this happen is by you covering things like mfg you know sort of that type of conversation yeah that's so and they mentioned something about like budgets in in the video i remember yeah i mean there was like discussion of um one of the times specifically the statement was that uh this is how we can secure budget for these types of things um and and like to be clear for listeners we don't take money for interviews yeah yeah and in fact i've paid now over five figures to visit nvidia on numerous occasions for said interviews personally like i know and i can say this from the pr side and not working not work with nvidia or anyone associated got firewall that it's like no one talks about budgets no one is like oh i can't visit a journalist due to budget and certainly not nvidia a company that had 39 billion dollars i believe in revenue just in the data center portion last quarter i mean kind of farcical multi-trillion dollar market cap i think if i try to take devil's advocate uh maybe there's some internal budgeting whatever like the marketing department needs to budget time from the engineering department or something but and we're talking like a couple hours of time max normally you know uh yeah especially when i'm traveling to them so it just seemed like i don't know it i didn't buy it and also that was only one of the the numerous uh calls you know like that the the defensible reason for them changed it felt like each time where it's like oh let's try this angle let's try this angle so did they end up blocking you are they just how did that situation resolve itself i have not spoken with anyone there since we posted our video talking about it.
13:34And part of the challenge with posting that video is, you know, it's like the first couple times this came up, I assumed that it was just sort of, okay, maybe the guy phrased it wrong. You know, I've worked with these people for a while, and maybe it just came out wrong. After a couple times, I did call one of my reps after the meeting where they kind of push this, you know, you testing this technology that you think is not appropriate to share on charts with competitors. That's how we get you these interviews. I called a rep and said, you know, hey, if you guys say this to people, this is going to be taken the wrong way.
14:15And, like, I'm still assuming it's not meant this way. Right. To really try and be honest there. But if I hear this again, right, like, I'm going to have to start assuming it's the way it sounds. and it did come up again. And part of the challenge with making the video we made was, we want to blow the whistle on it in case other people are facing that pressure, and also in case consumers are watching or reading content, which may be influenced without their knowledge. The problem is, I think NVIDIA may now be in a situation where, let's just assume everybody makes up and it's fine at some point.
14:53um i don't know that they will ever be able to put an engineer on camera anytime in the near future with anybody without the audience questioning it and for good reason because that was what we felt was being used as the lever against us and so it's just kind of i don't know we we tried to you know i i explained to them several times why this is a problem and why the phrasing is a problem and the more you hear it the more it's like okay i mean at some point like i think you're saying what it sounds like you're saying and i'm gonna stop yeah it's good that you did it though because it's well gn's got well over a million subscribers so who knows what they're doing to much smaller outlets as well yeah i mean and that's what i'm really concerned about is i've had conversations with nvidia in the past that we'll probably get into in a future video but about their strategy for newer creators and i i don't like what i've heard i mean it It sounds very much like we're going to sort of try and shape these newer creators.
15:57And, you know, I think the problem is as especially old guard media, as in people like OGs before us, retire or move to other industries, there's openings to change how media interfaces with these companies in general because you've got newer people who don't have the historical background with these companies to know what to expect. and so it's easier to kind of slowly creep that goalpost where it's less independence and it's more marketing arm of the companies and that's what I'm really worried about is if they get in any of these companies with newer creators early and are able to change the expectancy of the relationship so change it from independent reviewer analyzing large companies device into more of a hey we're all friends we're all working together to try and benefit the consumer when if you're talking about a multi-trillion dollar company that their motives are far different from like the guy in his bedroom who's trying to do hardware reviews
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20:10I mean, I certainly think NVIDIA is one of the most vindictive companies in the space. The stories we've heard and told in some instances of their partners, not reviewers, but actual business partners like board vendors, people who make the video cards that the NVIDIA GPUs go on. those stories would seem to indicate a sort of vindictiveness uh can you give an example yeah um allocation so gpu allocation is the the concept of how many of a high demand gpu can you as a partner get to then attach to a product to then sell to a consumer and there's a limited amount of these because they're going to sell 100 of them and uh allocation is typically measured by percent so company a might get 25 company b might get five percent of the gpu supply whatever that is and that allocation we've been told in the past has been used also as sort of a lever and so an example would be back in the evga days which evga uh sort of famously um when that It was a graphics card company.
21:24Correct. Yeah, they were NVIDIA's number one partner. And they were so NVIDIA favored that they only made NVIDIA video cards. They did not work with any competitors. Right. And they famously cut that relationship publicly. And we ran a story about that. But one of the things that they were unhappy about was NVIDIA slowly tightening the screws, which is a direct quote from an NVIDIA PM I spoke to once. Jesus. Slowly tightening the screws is the quote but on what the partners were allowed to do with their products and slowly over time they're losing some of this creative freedom. When you say they lose creative freedom what are they being constrained to do?
22:13One that's public is we did an interview with a famous overclocker who used to work for EVGA. Kingpin is his username, and his name is on video cards that are world famous. We did a video with him, and he talked about how he wanted to add two power connectors to a card to basically make it more fun to overclock with for consumers. And so it'd be able to pull more power, and it would also be able to do so safer because the current power connector has this issue of burning and catching on fire sometimes. And so he wanted the two of them to kind of resolve some of that. And in the public discussion we had with Kingpin in the video, he said, paraphrasing, but the conversation was, he said they wouldn't allow it or they restricted it or something like that.
23:07And I said, who is they? And he said, they. There was only one they there could be. who could it be yeah um but there's plenty of examples like that where the another one would be uh a couple generations ago the cheaper cards like the 200 300 models they were those models were difficult for the partners to actually make and still make any money and so there were times where we were told about how this msrp level video card meaning the number that nvidia says is the msrp that would only exist for a fixed period of time uh because it was simply impossible to afford to make it but nvidia really wanted them to exist at this certain msrp it allows them to advertise a lower price and so they're pushed to make these cards that allows them to potentially get things like more access to allocation or you know whatever privilege they may get.
24:08So on a much larger level, what do you think is going on with NVIDIA as a company right now? I'm not asking for stock analysis, like that totally not that, but just as a company that both makes consumer graphics cards and underpins whatever the AI thing is. Like, what do you think is going on there right now? I think there's definitely a focus on AI to try and get money. I mean, there's a Jensen Juan was in an interview, I don't know, last year sometime, I think, or early this year, and made a comment about how they use AI to write their own driver software now or their own software or something like that.
24:54And, you know, this is their number one focus. It's what they're making the most, I guess, investor money on. so they're focused on it the concern i have is it's one thing to sort of let the consumer hardware side uh dwindle or get less competitive effort it's another thing to in my opinion sort of drag the entire industry down with it uh as they shift focus to the higher revenue ai side right when you say drag them down how do you mean i mean things like trying to uh in my opinion control the media narrative and shape it like that that to me goes beyond okay we don't care much about consumer we're going to focus on making money with ai that gets into we are going to actively damage the credibility of independent media and also potentially harm consumers who are influenced by that media, which has been shaped with a certain corporate narrative to push.
26:02And that's my concern. So that's where I draw the distinction between, as we said in our video, if you want to just focus on AI and if they want to just sell all the GPUs to big enterprise companies, go for it. But don't screw all the rest of us over at the same time. And do you think that they're abandoning consumer? or is it just they are focusing on the shiny object of the day? I don't know Jensen Juan personally. My read on him, though, I feel like it's unlikely he would want to abandon something he already has. Right. Even if it's only out of maybe sort of pride. And so I don't think they'll abandon it.
26:49I do think they're focusing on AI. it's just that I mean they have like 92 % market share in consumer GPUs now according to John Petty research so it's just like they can, it's a monopoly I mean that's just like this is what monopolies look like I would say there was an opportunity for someone to come in but based on everything you've shown with AMD recently even on the low end it just, it doesn't feel, it almost feels like consumer graphics are being not treated with the respect they deserve, despite PC gaming being a huge industry and so on and so forth. Yeah, it's a massive industry. And prosumer, too.
27:30I mean, even just non-AI use cases include people who edit videos or make movies or do 3D animations. Yeah, I think Intel's a good barometer here because Intel decided to get into consumer GPU and they're new to it. And they've had a hell of a time. They're doing much better now with this current generation. But one of the quotes from an Intel person I spoke with previously to us was, for their last generation, was, we should be wrapping these with money when we sell them. Because they were basically subsidizing the build-out of this new division, this GPU division, by undercutting prices from competitors to just try and get their foot in the door with what at the time was a lesser product.
28:16and so yeah i think they're a good barometer because if you want to be i mean first of all to have a fab a fabrication facility costs these days potentially tens of billions of dollars and years to build so a new vendor would have to be fabulous like uh nvidia and like amd unlike intel and to be fabulous and make a sorry about this this is just for the listeners what is a fab in this case yeah so a fab a fabrication plant is basically a factory for silicon it's a highly controlled clean room environment and that means that there's basically absolutely no dust ingress the small pieces of skin or whatever you know just working in an environment that's all either captured or controlled and that's because a single particle of dust on a wafer can can destroy at least part of that silicon supply cool sorry yeah and so a new vendor would have to be probably fabulous unless they're already huge like intel and that means they need to go get supply from most likely tsmc possibly from intel maybe i mean the past samson has been used there's really not a lot of options here and everybody wants their silicon so to even get allocation of these silicon wafers would be difficult uh it's just all of the chips are stacked against someone who wants to do this and they would i think the only way you get in is if you're an existing multi-billion dollar company or have yeah obscene amounts of investment well that fucking sucks yeah it's actually that's a good question though so this is for the old timers listening i remember having a 3dfx it was a voodoo 5500 picture of a halo on the on the box actually don't know what happened there uh what happened to all the smaller manufacturers did they just get kind of absorbed or did they just fall apart yeah they they got bought or yeah i think 3dfx if remember correctly was bought by nvidia um and and i just checked that but um some of the others i mean there's like via uh cyrix and some of these cpu companies yeah 3dfx bought by nvidia sgi was another so they they yeah i forgot about sgi yeah so sgi is interesting because they sort of pursued heavily i guess the at the time what enterprise would have been or at least workstation hardware and um they're really invested in workstation the story i got from someone i wasn't covering things back then but was that um sgi was less interested in consumer and didn't really think consumers could afford video cards which at the time was sort of true and that's when And NVIDIA came in and started really kicking ass in the early days.
31:20But a lot of them just, they either got bought or they sort of exited that space. So changing tack slightly, how do you feel about AI in general? I know that I'm not expecting like an industry in that. I'm just, from your perspective, at least from what you've told me in watching your videos, it feels like AI is something now being stapled onto the side of literally everything within your world. Do you think there's, like, do you use it? Do you have any thoughts on it? There's uses. I mean, one thing I am actually worried about long-term with AI use cases, and the biggest thing I'm worried about is on the media side, we obviously get a lot of comments.
32:06I probably read or at least skim tens of thousands of comments a year. And I'm seeing more and more AI comments and not just the really obvious YouTube spam bots, but some where you kind of you read it and you're like, ah, that could be real, you know, and I don't want to like, yeah, I don't want to like remove it if it's a valid real comment. But then a few comments down the thread, there'll be this discussion amongst what are obvious sort of bots about, say, some new crypto BS or whatever. And so I'm actually worried about sort of like that internet theory, I guess, the concept of you're the only human in the room and you might not even know it.
32:52That's concerning to me. There's a loneliness factor there I'm worried about. but the big one is just how easily people are manipulated by comments that sort of appear to have the prevailing opinion just in general even from real comments you then take that and you apply it to potential ai that becomes very convincing uh in the future and And you then think one step further of who owns these LLMs and the companies that sell so-called AI products. And all of them are these multi-billion dollar companies that if they want to, could tune it to filter the responses in ways that are beneficial to them.
33:40And that to me is sort of the dystopian old man yells at clouds, you know, like concern I have.
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36:59But it feels like a more practical one because everyone freaks out about AGI, which is fictional, and all of these other things. But yeah, the idea that comments would be filled with people who are just subtly being nudged in different directions. and when you talk about corporate narratives as well, who knows that? And I don't usually, with LLMs in particular, I try not to lean into anything too conspiratorial, but like, this is a simple one that you're kind of seeing signs of, even on Blue Sky. I will occasionally get a comment from someone. It'll take me half a second, second to go like, what's wrong with you?
37:31This doesn't feel like a human being saying this. No one speaks like this, but you sound human adjacent right and i'm and at your scale i imagine that becomes a lot harder to moderate slash process yeah and and it really is just i mean i'm highly my job is to be skeptical and you try to do that in a healthy way you know it's easy to go way overboard um but this is something where i i just i think there's so much opportunity to be abused and i was actually looking at um there's that meta story about meta and facebook uh pirating all of these you know books or taking books from pirated materials and integrating them and there's a lawsuit over it one of the things i was thinking of though and actually speaking to a copyright attorney about was it really feels like right now um the companies that are willing to break the most laws especially intellectual property laws and steal the most stuff will make so much money that it's like you know what let's just we'll just deal with the consequences in five years when it gets through the court and we'll be so far out ahead of anyone who didn't lie cheat and steal you know to get here yeah that it won't matter which is just how the big corporations broadly uh behave but applying that to a new area like ai uh i don't know it's i'm really concerned about it i think there's absolutely good use cases and i mean as an example internally we've used it to concept things so like i i'll have an idea in my head for art like for a product and i can see it but i'm a terrible artist and so there's a use case there where i'll sit down with my artist and try to explain it as best i can and he'll take a go at it and if i'm like no it doesn't really like look how it looks in my head that's when i might try to pull some mid-journey thing like okay here's like broadly like the style artistically i'm trying to get you know then he can take that and actually make something so but just to be clear you would never use any of that stuff in the real it is literally just a concept tool correct just making sure the listeners have a good view on this yeah correct the the artist so andrew has been working with me forever uh he makes it all from scratch like in blender normally and actually flattens it into a 2d image for the shirts and things um so yeah it is purely used if if in the first conversation he can't like quite figure out what i'm trying to explain as a non-artist you know it's like okay let me go let me try and figure out like i don't i don't know art words you know i don't i don't know how to no no i know I know what you mean.
40:18Yeah. Yeah. How do you deal with the ethical side of that? Because it's just, it is still working on copyright material. But I guess if you're not putting it out there, it's just like, this shit sucks. Even like looking at it feels bad. Yeah. I mean, it's hard because it's the first step for us. So it's always like a Google search to see what's out there already. And so we'll do a Google search if I'm trying to explain something I want. And normally that's pretty successful. but like now it's the same it's like you're getting all this ai art surfacing uh and so at some point it's sort of like the downloading and uploading and downloading uploading a png multiple times it feels like it's just getting like the the quality is getting lost somewhere in that chain it is it is funny we're also like three years into it and the best we've got as far as like from you arguably one of the most like i don't mean this i mean this actually is in a good way like you would be excited about something cool in tech coming out yeah like if something cool happened and the coolest we've got is yeah sometimes i can't work out what i'm thinking so i just make one image and hopefully my artist gets in but the artist yeah it's just like that with three years in and that's the best we've got yeah and i i think we early early on with gpt uh when we ran one of the first news stories that we ran about it and i was trying to understand like what is this thing uh i remember feeding it a spreadsheet i had made with our own data and asking it to analyze the results and it was just like and keep in mind this was early but it had hallucinated so much uh that i was just i i was disillusioned it was like okay this is just it literally just made everything up and that was kind of how i was at the beginning as well because i love my doodads my gizmos i i was kind of like okay everyone's talking about this and so i tried to do all of the things they talk about you it could automate your work i'm a spreadsheet heavy guy and this crap can't even do that the funniest one for me was that you have a manas manas you heard of this one no they claim to be an ai agent company okay and i asked it can you go and find all the all of the links that mentioned me for the last two years, probably over 100 of them.
42:36And it takes 11 minutes or so, and it's writing Python for every single step, and it comes back with 11 links, or like nine links. I go, hey, you missed some, and it comes back with nine more after like another 10 minutes. And this was about a month ago. It's just what, it feels like they're pushing them up a hill. But back to NVIDIA for a second because this will be the last nvidia one i think you have done a really good job of kind of tracking nvidia as they've jumped towards these movements but they've done this but they did how big was their move towards crypto that's actually something i've had trouble encapsulating before did they really shift the company that aggressively in that direction that's a good question so from nvidia's relationship with crypto is weird i remember at one point there was some kind of earnings call or something where it was during one of the gpu mining sort of apocalypses where consumers couldn't get cards because they're all being bought by crypto mining and um i remember doing a report on in hardware news on the earnings where it seemed like the amount of revenue for mining was sort of obfuscated and it was a challenge where the devices are shared with gaming and so okay i could see how it would be difficult to decouple these uh in a revenue chart if you sell gaming devices and they're used for multiple things right so you know it's like i kind of get it but at the same time they weren't like hiding from making sales to crypto mining and then later on nvidia released these lhr low hash rate cards i think it was the 30 series and And that was done to try and get more cards, well, they say, to try and get more cards to gamers.
44:29Now, there were bypasses for that, which is a separate story. And it was done at a time when the 30 series, it was really unfortunate covering it because the hardware was pretty good. The prices at the beginning were good. but there's no supply uh to meet the demand which is partly because of covid shutdowns where people were building new computers for home and also partly because of mining and so they tried a few things like these low hash rate cards to reduce the viability for mining operations but um but yeah i mean it's it definitely they've kind of that pendulum has swung back and forth i think at nvidia where it's like okay we'd sell a lot of these make a lot of money to people are really pissed off you know we can't get them to consumer users who might actually be repeat customers in the future and and so let's try and restrict it so it's definitely i don't know i mean it's not unexpected behavior i guess for big corporation where it's just uh where's the money and if the pendulum swings back the other way you know we need to try and minimize how much both of these potential client groups hate us for catering to the other one.
45:42So final GPU-related question, actually. And forgive me if you don't know the answer for this exactly, but assuming the AI bubble bursts and you don't have to commit to whether you think that will happen or not, what else can these big enterprise-level GPUs actually be used for? They can be used for a lot. I mean, like some of the, we're talking to a professor at a university for an upcoming piece, and they have some very serious like machine learning research use cases. And I've looked into some of the other ones. And as you might expect, there's really promising use cases in medical and pattern recognition and like so-called AI being able to do early identification of potentially cancerous masses and people that, you know, it's one of those, like, if you treat it like a tool rather than like the answer, then I suppose in this example, as someone who knows nothing about the medical world, but I suppose a skilled doctor might be able to use it to help the process.
46:56I think the concern I would have as a skeptic would be, okay, but can we keep that doctor in the mindset of, I'm using this to help catch my mistakes or help see things I can't, rather than I'm overworked and I need to lean on this to do my job. That would be the concern. My whole thing is just, if they, and I believe they have, this is my personal opinion, I think they've massively overbuilt and oversold these cards. And I, sorry, cards is inappropriate to refer to, like, the Enterprise ones. Racks, I suppose. But it's, what do they do next, is going to be the question eventually. And, I mean, there's just very clearly not going to be enough use cases for them.
47:39But I think that's going to be really interesting. and now i've got two fun questions for you first of all did you hear about this 3600 keyboard i did not the norbauer seneca okay so i'm going to send you this later so nathan edwards over at the verge reviewed this one this 3600 keyboard which i need to send you because i i assume you would norbauer seneca i see the review luxury keyboard it's insane listeners i will drop with everything we've been talking about i'll have links in there but this thing it's like precision honed and if he gets it wrong he has to start again. It takes him like a full day to do like the things that absorb impact.
48:19So cool. This reminds me of the I don't know probably almost 20 years ago now there was the super expensive I think it was like an Optimus keyboard or something. Was it like the Opt or the Das keyboard where it had the little screens on each key? Yeah it was screens for every key and back then you know that was before we were putting screens on everything. uh-huh i i want that's the thing i love that this exists because if you look at the verge story which i'll link it's just a guy who literally sits in this garage and just builds these things like an artesian i wish we had more weird shit like this this is what i miss about the tech industry yeah the the weird stuff and the cool stuff and things where that's what i like seeing at computex but it's okay i could this isn't a product yet but i could see it becoming a product or there's pieces of this that could become an affordable product.
49:13That's the stuff I like. Yeah, did you see anything really bizarre like that there? Yeah, I mean, well, actually, most recently, this wasn't Computex, but the most sort of bizarre, cool thing I saw and worked with that I was really happy about was the pre-built PC made by a small company called Cherry Tree. They make modded computer cases. and it's just a computer inside of the husk of a video card. Okay, that's cool. Yeah. I love that. That reminds me of the Corsair 1000D case, which I actually have at home where you can fit a micro ATX and a regular sized motherboard in there. I love that stuff.
49:58That's the thing I love about tech, the really dumb kind of niche stuff. And actually with that in mind, what are you actually excited for as we wrap up like what are the things coming out soon that you're kind of pumped up to see um i mean the cases and cooling are really interesting to me i i just think in the computer actually cpus have gotten interesting too so on the silicon side amd has done really well to actually get into gear competitively over the last several years and um the these they call them x3d cpus which have a bunch of extra cash on them they've been really good for gaming and that's a i mean seeing those the extra cash allow yeah so um because you can fit more stuff local to the cpu like like um you can store more of what the cpu needs to process within the CPU silicon itself, it doesn't have to go out to system memory.
50:59So the way it normally works is, like if you're playing a game and you need some kind of file for drawing something in the game or whatever, I mean, it'll go into memory of some kind. So it might be GPU memory, it might be system memory, but if we take the system memory example, something goes into system memory, you need that file. There'll be a transaction where you can imagine these bits going down a bus to the memory and coming all the way back to the CPU. And that's a long highway to go down. Whereas with extra cache, you can store more local to the CPU. It can transact via basically like a shortcut.
51:34And that allows, in the real world, significantly higher performance in gaming or in cache-heavy applications. And so the new AMD ones are... Yeah, it's the new, like the 9800X3D, for example. so those I'm really excited about that how that's gone because that actually you may like this but that was actually a sort of a skunk works project where this team of engineers in AMD and we ran a story on this too but they decided let's just try this idea and they experimented with it they got it working and they brought it through management and said hey this looks viable and then they were able to actually make a product that it came from an abnormal path of an underground sort of skunkworks effort in the engineering department to actually being the leading gaming product for CPUs on the market.
52:35That's it. We will have that link in the episode notes as well. And we can wrap on the product, the AMD skunkworks product you mentioned in a recent video that I had not. AMD made a mountain bike at one point. Just want to what? Yeah. So, yeah, that was not a good moment for AMD. No? Fortunately, it didn't particularly damage their CPU or GPU credibility because it was so underrated. I can't imagine so. But why? Why did they do what? It was during the COVID bike shortages. I don't know if you remember, but all kinds of bicycles were difficult to get. And, yeah, so they made these$300 so-called mountain bikes uh i think they're like kent walmart bike rebrands basically nice so they went real cheap yeah and uh yeah it was advertised you know for mountain biking and off-road trails and whatever and so we took it down a trail and i actually had trouble getting out of the parking lot uh that's how messed up the bike was we had to take it to a shop before i rode it for a safety check because the the it used v brakes and they were going through the spokes so they definitely would stopped me but jensen wong sitting there being like we could have had a fucking mountain bike man yeah how do we get yeah if we make a bike we can get rid of them yeah they're just like two 20 billion dollars shoved into mountain bike research that would be so good steve it's always such a pleasure having you on here where can people find you and gamers nexus on youtube thank you so much for being here i'm of course ed zitron you've been listening to better offline have a great week everyone Steve thanks for coming on thank you thank you for listening to Better Offline the editor and composer of the Better Offline theme song is Matt Ossowski you can check out more of his music and audio projects at mattosowski.com m-a-t-t-o-s-o-w-s-k-i dot com you can email me at ez at betteroffline.com or visit betteroffline.com to find more podcast links and, of course, my newsletter.
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From the publisher
In this episode, Ed Zitron is joined by Steve Burke of GamersNexus to talk about NVIDIA’s approach to the media, AI pushing out real tech at Computex, and the weird world of consumer graphics.
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