The Unlikely Anthropic & SpaceX Marriage, OpenAI Trial Revelations, AI Layoffs Or Cope?
Channel: Alex Kantrowitz
Published at: 2026-05-11
YouTube video id: 38Q4mhLQEv8
Source: https://www.youtube.com/watch?v=38Q4mhLQEv8
Anthropic and SpaceX partner up in an epic collaboration that could change the AI race where a wash in revelations from the open AI trial and are AI layoffs just cope? That's coming up on a Big Technology Podcast Friday edition right after this. Welcome to Big Technology Podcast Friday edition where we break down the news in our traditional coolheaded and nuanced format. Well, it's tough to pick what to lead with this week because we have lots of big news about the AI race, including news that Anthropic and SpaceX will partner up, where Anthropic will use SpaceX's capacity. We also have lots of stunning revelations from the Open AI Musk trial and a number of big layoffs happening in the tech industry. Are they actually AI displacing people or just cope? We'll talk about it all. Joining us as always on Fridays to do it is Ranjan Roy of Margins. Ranjan, welcome. Man, those text messages. I cannot wait to get to that. But I think certainly space compute's always a good place to start as well. I was tempted, very tempted to begin today's show with a dramatic reading of the text messages between Sam Alman and former OpenAI CTO and former OpenAI Intram CEO Mirror Morati that came out in court this week. Don't worry listeners and viewers, Ranjan and I will be doing that. We will be giving you that dramatic reading in the middle of this show. Um, but I resisted the temptation because I believe this anthropic and SpaceX deal uh is I think about some of the biggest news you will get in the AI race this year and we will take you right there. So, here's the story from the Wall Street Journal. Anthropic Inc. deal to use all of SpaceX's Colossus 1 compute capacity. Anthropic will use all the computing capacity from SpaceX's classis one data center in a new agreement with Elon Musk's rockets and artificial intelligence company. Uh SpaceX will supply 300 megawatts of new computing capacity using more than 220,000 NVIDIA GPUs by the end of the month. Anthropic said Wednesday. Anthropic also expressed interest in a partnership with SpaceX to build AI data centers in space. Long one of ma Musk's top priorities. Uh the agreement comes as Anthropic has struggled to gather enough computing power to fuel enormous demand for its AI models. Um I don't even know what adjective to use here. Stunning, shocking, mind-blowing. I mean Elon Musk has spent the better part of I don't know a year longer um railing on Daario talking about how uh Anthropic is actually misanthropic and now uh he is renting them effectively an entire data center uh worth of GPUs to help them pursue their goals. What's your reaction here? >> Yeah. What is the adjective to describe this deal? I don't know. I I I agree. I'm having a hard time. I think the problem with so many of these deals, and I'm putting that in quotation marks, is they're over a longer period of time, they start to provide access, but everything with Oracle and Open AI, everything like these giant compute deals all feel as much signaling as reality in terms of kind of delivering compute. Yes, Anthropic is in dire need of compute and rate limiting and all this has been one of the big issues that's actually been uh you know hurting them recently. The idea that Elon Musk and SpaceX are going to kind of come to the rescue of Anthropic is just it's both shocking and mind-blowing, but it's also as SpaceX is looking to IPO, having this massive new revenue source where you basically become like what is the fastest growing company in the world? Who are they completely dependent on? Us. So I think I see that side of it but like do you think one year from now that SpaceX will be a major provider of compute to Anthropic? >> Yes. Yes. And I I you know I am stunned to hear you downplay this news here. Let me tell you why I think that this is significant. First of all, this is all but an admission by SpaceX which of course is the company above open uh sorry XAI which Elon Musk basically Elon Musk merged X into XAI and merged XAI into SpaceX. So SpaceX is the company that holds all of them. There was a time not that long ago where XAI was considered one of the top players or at least one with a great shot. remember it had used this capacity to develop benchmark breaking uh AI models and here we are it's in May 2026 it this is effectively it giving up it's saying you know it doesn't know how to effectively use this compute capacity to train models or if it did it wouldn't be worth the expense because it would still be behind OpenAI uh and Anthropic and so therefore it's now turned its business to renting data centers right it's now the new core weeave as opposed to the new open AI. So I think that is a fascinating development here. Um and I also think that yes it is um if you think about it from what where the race stands this will have a meaningful impact because the way that this race has been setting up you've had open AI which uh has had more compute um and has sort of now following anthropic in this you know sort of code model with codeex uh as anthropic has cloud code and we're going to get into the demand about cloud code in a moment it's crazy um and then you had you had anthropic And the big thing holding anthropic back was it was unable to deliver the models because of capacity constraints. And so now you have Elon and Daario teaming up to effectively take on Open AI here, which is fascinating. I I I know I shouldn't be this not cynical about these announcements. I think what is interesting about these kind of like big types of alliances and announcements is when they're so clearly beneficial to both parties in their own specific way even when it's uh you know so clearly like it makes for a great story. Elon and Daario have been at each other's throats. Is this actually kind of teaming up against OpenAI in this case? And maybe it is and that would be make the most sense to me. But but still Anthropic needs to come up with a story around how it will deliver compute as it moves towards an IPO. SpaceX needs to deliver a greater narrative around its revenue streams going forward as it moves towards its IPO. And it just feels like kind of signing on the dotted line here. It was a very very convenient way of pushing that. I know. I know. It's uh I mean there's been too many of these announcements over too long, especially with with an Elon Musk involved that I don't know. I'm going to I like to wait beyond the announcement for stories like this. >> Look, as a reporter, I really appreciate the the skepticism and wait till the announcement passes. And you know, maybe that's my one weakness is that well, not one, one of many uh is that um no other >> no that one of many, I'll admit it, is that uh sometimes I'm too quick to to believe these things, but we do have the evidence right away that uh this is going to help Anthropic. Um here's what Anthropic says. First, we're doubling Claude Claude Code's 5hour rate limits for Pro, Max, Team, and Seekbased Enterprise plans. Second, we're removing the peak hours limit reduction on cloud code for pro and max accounts. Third, we're raising our API limits considerably for cloud opus models uh as shown in the table below. And of course, they put a table. We won't we won't make you suffer through reading that. But this is instant impact. I just crunched the numbers. The data center that they are going to be able to lease from Elon Musk is a 5 to6 billion data center that's fully built, right? That's just from the GPU cost alone. It's full fully built and ready to work to help Anthropic deliver these services. That was the company's that was the company's one weakness, right? Is that it could not deliver the compute and therefore OpenAI had this chance to pass it because it does have that capacity. This changes that significantly. That's what I'm I'm saying. And we can see the proof in the rate limits. >> No, no, no. You're right. You're right. the rate limits again like I still saw plenty of complaints on Twitter around uh like especially the weekly resets around rate limits with cloud code and the kind of lack of uh or the opacity around that I think but you're right this is direct they're at least kind of correlating this action directly with that kind of increase in compute but I don't know I still think this is one of the most interesting parts you know as the kind of market rises again today and the people I've been talking about like and again working in the industry and seeing where this technology is going to go and believing this is going to transform enterprises and most knowledge work as well but it's still more everyone from a Google to a meta to open AI to anthropic to now SpaceX as the core vehicle for Elon Musk outside of Tesla like everyone has the same story to tell there's going to be this unlimited unsatiable insatiable appetite for compute and anyone who can go to fill it and then there's same customers buying up the compute providing the compute it's such a small circle of companies that all benefit from these kind of transactions and this story having to move in this one direction that I don't know I think I've become definitely more skeptical in the last two week two to three weeks around even though I'm watching firsthand how valuable this technology is whether this story actually will play out in the way everyone wants it to. >> Wow. Interesting. I mean, I I think that if you look at the capacity demands, how can you really argue with that? Well, I think the over the last six to eight months, everyone had a free license to do whatever they wanted, especially in the enterprise and it was everyone's first kind of foray into claude code and claude code and you know autonomous knowledge work products like writer and we talked about this since last November and October anyone could do what they wanted. No one questioned anything around tokens. So the actual like the graph for that usage which was essentially zero because the token consumption pre-reasoning and especially pre-agentic knowledge work or agentic coding was so minimal relative to what agent the token consumption of agentic work. So the graph was has been insane over the last 6 to8 months but that's because no one cared about anything you could spend whatever you wanted. If you are to ex you now everyone is extrapolating that level of growth rather than will there be a cheaper model? Will there be cheaper ways of approaching this? Will companies actually kind of like bring token consumption instead of token maxing people actually be like optimizing for tokens? I think like that's the the the story is over the last eight months which I've watched firsthand. No one cared about anything. We literally came up with token maxing the industry to say more is better and now everyone assumes we're going to grow like that. So it it really even though I believe strongly that AI will kind of like have a massive impact on the world and certainly the enterprise I don't know all these compute stories really push around let's just blindly extrapolate over from the last 6 to 8 months. Well, okay. So, there's two sides of this here, right? There is the demand for compute and then there's also the model makers are going to make their comput their models more efficient and they have been making their models more efficient and they will be making it more efficient, but you'll still have the demand here. Just one example. Um, everyone who's used Anthropics Opus 4.7 model uh has has certainly experienced some frustration where they try to get it to do some simple thing and it burns like half a data center's worth of tokens. uh only to come back and be like, "Oh, shoot. This was a simple operation and I tried to like do advanced calculus to figure it out." Um just one example, I asked it to make a PDF for me yesterday. Uh it spent like 30 minutes trying to find this PDF and I'm like sending commands. I'm like, you you created the PDF, just export it. Just export it. And it's like, uh plugging into tools, every tool in the book. And then it finally comes back to me and it says, I owe you an apology. I went down a rabbit hole worrying about a constraint that wasn't actually blocking us. the files there. Send me the file. >> So, they're gonna fix this stuff, though. That's what I'm saying. >> This is what I'm talking about, though. And again, we have talked about I I've thrown this out in the past that kind of like nudging systems towards greater levels of consumption. Do you remember what was OpenAI's product that would work all night for you to give you a news update in the morning that no one pulse? >> You talked about this. That's right. No, this is this was my theory that like nudging people towards greater levels of consumption was actually going to be part of things and and again like what you're talking about either one of two things can happen either anthropic will fix that and actually like make it work in a much more efficient manner which will be good but also changes the compute story a little bit as a direct direct extrapolation or users will kind of fix that themselves because they don't want to pay for those tokens. So, I think that mindset shift of do I watch what I'm spending on an AI platform because it's no longer blindly $20 a month or even $200 a month. So, I think that's going to be a big big shift. >> Well, this gets back to the whole Jebans paradox conversation and of course, if you've been paying attention to it, the argument in AI industry is, you know, as a valuable good gets cheaper, you'll actually use more of it versus less because it will enable you to do more things. And I would argue, let me just throw this out there for the sake of argument, and you can decide to rebut it or agree with it, is that we've seen so much model improvement over the past, let's say, year and a half, that those who might have been skeptical in the Deepseek days, right, where this Jevans paradox thing, well, it's just going to do the same thing and it'll be cheaper, so no one's going to spend more on AI. Um I I think this Jevan paradox uh idea is Jevans paradox idea is more plausible than ever that if they bring the cost down you'll be able to do much more and you might have like let's say more agents running in parallel. You disagree? >> No I I I agree. I agree. But I think what that says about the kind of is it an exponential demand for compute or more of a linear one. I don't think it's necessarily exponential in the way everyone is looking at it right now and the way these deals are being done and the way people are chasing it and again when it benefits both parties involved I do think that it can be more of a linear path than exponential one again when everyone has such a vested interest in it playing out in a specific way it moves away from and when it's a very small insular group I do think every I don't know it just moves it away from uh necessarily being the way it's going to play out. >> Okay. Now if you're saying all right maybe there's a percentage of this that is gamification and inefficient models I would I would agree with you for sure. Obviously that's the case. The question is if how much of that gamification and token maxing would you say accounts for the growth in the industry and we're seeing a lot of growth and uh Anthropic had its cla code with Claude event this week uh in San Francisco and Daario Amade the chief uh executive of Anthropic was on stage uh and here is what he said according to the New York Times. Dario Amade the chief executive of Anthropic said on Wednesday that his artificial intelligence company had planned to for growing about 10 times as big this year only to reach a growth rate that could make it 80 times as big this year instead. He said last month uh Anthropic oh he said let's see um Anthropic had been overwhelmed by the rate of grow rate of growth and has incre that's increased the company's need for computing power to deliver its AI products for customers. I hope this is from Dario. I hope that 80 times growth doesn't continue because that's just crazy and it's too hard to handle. I'm hoping for some more normal numbers. That can't all be gamification. No, I it's not gamification. But 80 times, is it 60? Is it 40? Is it And that's again when claude code was kind of in a league of its own and there was no competition. I think like when you're saying gamification or like yeah gaming the system basically I had two separate instances I think I'd spoken about this recently like where like very senior executives I would kind of had casual conversations with in passing bragged about their level of spend and it was definitely on the like more in the CTO CIO side but people are bragging about how much they're spending because it's kind of become a badge of honor to say I'm spending an ungodly amount of money. Now, no one is talking about their cloud bill and puffing out their chest anymore. Like, yeah, do you know what I just spent on Azure last month? like uh so it's when you're having that kind of like you know when you look back and you're going to th those are those kind of moments I've been experiencing more and more where you're like that was a clear sign that no one should know no technology executive should be bragging about them how much they're spending and not talking about what they're actually doing when it comes to something like this >> this is from the financial times uh anthropics annualized revenue which extrap calculates fullear revenue based on recent weeks is expected to cross $45 billion imminently, a five-fold increase from 9 billion at the end of last year. Now, Ranjan, I know you have your feelings about annualized revenue, but again, let's just go back to it. If this was lighting money on fire broadly, um that would be one thing, but it's it's not. I mean, you can't can't have 45 billion of annualized uh revenue and and you know, that sort of just being smoke and mirrors. >> You can't have 45 billion of actual annualized revenue, but you can certainly have a couple hundred mil of uh just like budgets being thrown at AI. I mean, >> right, >> what is the difference? I mean, god, come on, Financial Times. I would have I would have looked to you to at least not get caught up in the ARRI. But actually, I mean, if I guess the FT uh like even the way they said that, they didn't actually clearly define it. They said, wait, how did how do how did it read again? A few weeks. >> Yes. Based on recent weeks, >> the recent weeks, week, month. Um but yeah, I mean I think do you what do you think is happening and what do you think will happen and should we extrapolate based on what's been happening? >> Well, okay, I I don't want to lose sight of the bigger picture here because I think I brought this in to really talk about how this added compute and this teaming up of SpaceX and Anthropic is going to be answer one of Anthropic's biggest problems and has made the AI race much spicier, right? Because now you have anthropic and its key models against OpenAI and they're both less constrained by compute than they were previously. I mean, OpenAI was less constrained and now Anthropic is also less constrained. So, this is going to be a heavyweight battle. I do see them as being the likely winners. I do think they'll be able to get the models to act more efficiently. I mean, goodness gracious, after my experience with 47, I hope I hope Anthropic does. Um and so therefore this is this is a we've seen a consolidation and a solidifying uh of this race and yeah I mean are there going to be bumps in demand? Sure. Right. I mean you you working in enterprise AI I'm doing a lot of reporting on it. The number one thing I hear is that a lot of this is just boards telling CEOs you need an AI strategy and them spending money right without really figuring out what the problem is or diagnosing how they how they would solve it. So yeah, there's part part of that does exist. Um, but I think the broader story is can't really deny I mean neither of us will deny the progress that these models are making and the progress that to go to your point the industry is making in sort of building the appropriate uh scaffolding or harness or orchestration layers around it uh to make it useful. And so um and so this goes from I mean this goes from this goes we still have notes of is this a bubble? There are probably parts of it that are a bubble. We still have notes of it are of is this going to destroy certain companies or industries. You know there's a good chance there. But I think ultimately it it has now transformed into a lot of this is working despite people uh people's skepticism and it is going to be this heavyweight business story between two companies with a tremendous history and and Elon Musk now stepping in and saying if I can't win I'd like the uh en the enemy of my enemy to win. Actually, I want to get into the Elon Musk angle about this in a moment, but do do you know what's going on with Stargate right now? >> Oh, yeah. MG Seagler and I just just spoke about that on Monday. Um, so Stargate has basically become this sort of catch-all phrase for OpenAI's uh compute efforts and it has shifted from them effectively building their own compute to securing it through partners like like a corewave. >> Wait, hold on. But the Oracle Soft Bank, what was announced when was that? Probably like a year and a half ago. January, February, that they're walking away from, right? It's unclear. I mean, as with many things in this infrastructure build, >> no, but that that that's so that captur that captures everything perfectly. big announcement. And in that case, obviously, like I mean, when you think about everyone who was up there from a Larry Ellison standpoint, from a Masa Sun, from a I mean, you got the all-star crew of like, you know, people who can certainly sell things well when it benefits their own companies. Um, and then just it's what is it 14, 15 months later, it's just kind of fizzling. It's unclear what's happening. There's certainly groundbreaking and things being built, but there's still an ongoing discussion around compute shortage, which that's theoretically should have kind of really solved and put us in a position even within 18 months to actually be very strongly positioned for. So, I think that one that that's kind of what I see happening with this announcement. >> But this is already built. That wasn't built. Colossus one is built. >> Yeah. Yeah. No, no, I know. But I don't know. I like I don't know how it will happen. >> Han has been burned too many times. >> I don't I I'm going to wait. Is >> that fair enough? >> I until my claw rate limit is quadrupled or quintupled then maybe. But even hold on. I don't know. like you included this tweet in our prep doc to me >> on the Elon side where >> we reserve the so just as SpaceX launches hundreds of satellites for competitors with fair terms and pricing we will provide compute to AI companies that are taking the right steps to ensure it is good for humanity we reserve the right to reclaim the compute if their AI engages in actions that harm humanity first of all I love like clearly the entire industry got The memo went after what what's Sam saying now? Uh, magic at hypers scale is what open AI is about. Elon is talking about achieve a great future with amazing abundance for all. But do you think this is going to be his out in like two weeks over anthropic? >> I mean it's possible. But I think don't don't aren't you missing the forest for the trees here which is um and I I noted this Don also. I mean, you could have not found someone that dislikes someone more than Elon Musk disliking Dario. He's constantly tweeting how it's misanthropic and way too woke, right? And he's on that whole whole bandwagon. And Anthropic has performed so well and become such a successful company going after the same market as SpaceX. SpaceX has now become an enabling technology for anthropic. Doesn't matter how long it lasts. That in in of itself is remarkable. It's the ultimate revenge for Daario. >> I It is. But do you know what I've been thinking about is I really believe a lot of anthropics power has also come from X and like I mean even within the industry, everyone you talk to like everyone talks about like seeing the power of claude and cloud code and the use on X. It's LinkedIn. Nah, it's uh it's X and like Elon >> X. Well, that's the platform of that's the AI platform. >> That's the AI platform. Yeah. And and Elon has his finger on the dial and can control that in whatever direction he wants. And like I still imagine kind of leads Daario in, reels him in, and then actually shuts off. You're not engaging in actions that are good for humanity. And that I mean honestly 47 the backlash again. We've used it. It's a little wonky. So we all feel it. It's not just being made up all the complaining around it. But like it is kind of crazy to think about the power that still remains now and that's amplified by now being your provider of compute. >> Okay. Yes. But now, actually, I'm going to revise a statement I made just a couple of minutes ago, which is when I said you couldn't find someone that dislikes more than Elon dislikes Daario. Yeah, you could. It's Elon disliking Sam. He dislikes Sam more than he dislikes Daario. And I wouldn't discount the IPO math here because let's say you're Elon Musk and you want to kill OpenAI. So, you bring them to trial over their conversion from a nonprofit to a for-profit. Okay, so he's doing that. Now, what else do you do? You think about the IPO calendar. And there have been reports that Anthropic is trying to go uh IPO this year. So now think about it this way. SpaceX will be the one that IPOs first out of this. I think we could both agree there. Then if Anthropic goes ahead of open AI and uses this compute to support that ADX demand growth and can show exceptional demand uh uh you know an exponential curve of demand before it hits the public markets and then leaving OpenAI to sheepishly walk in third and you know with its reputation damaged after the trial and uh with its compute advantage not erased but minimized because of this deal uh you potentially and and it needing to raise more capital to continue to serve its use case. That to me is potentially the way that you go about trying to kill open eye and maybe that's what Elon's doing. >> Okay. Okay. I like this theory. I like this theory. This is See, this makes more sense to me than actually like the numbers around demand and whether it's meeting supply and shortage of compute. What you just explained actually makes way more sense to me of how this would have come about and how this is playing out. Actually, one question. I'm gonna I'm curious your thoughts and because we've been talking about this. I now view everything these companies do in the lens of everyone racing to IPO as fast as possible. Why do these companies need to IPO? Oh, that's a great question. Um, can I my suggestion here is that they were actually not planning to IPO this fast. In fact, the news of the SpaceX IPO, uh, I guess that might have been planned, but the news of the Anthropic IPO and the OpenAI IPO is rather new. My theory is that they were actually going to try to raise one more round of private capital and they might still do it from the final boss of private capital and that is the Gulf States. And this Iran war made the Gulf States more hesitant to put all this money into US companies and hence they have to go IPO. >> Okay, that I agree with 100% in our it took us a half hour but finally a harmony moment here. >> That makes all the sense. No, I mean cuz I really was wondering like the money in private markets remains it feeling infinite like and again is is mass public market investor exposure really going to be that different like it's just felt like it's made me wonder why everything feels so urgent all of a sudden when they've just been again what was OpenAI's last round 22 billion 122 billion That is bigger than vast vast majority of most IPOs in terms of >> No, sorry. That's bigger than any IPO. No IPO has raised that amount of money. >> Wait, not even the largest I think was Saudi Aramco and that was 30 29 or 39 billion. So this is at least 3x to 4x larger than the biggest IPO ever. >> Okay. Okay. See, so that's why it it has been odd to me how intense this pressure of everyone chasing towards IPO has felt very recently. You made it all make sense though, so I'm going to give you credit on that one. >> I will note Anthropic is likely going to raise at least one more round. Looks like they're going to raise $50 billion at a 900 billion free money valuation. Here's an investor. They told the Financial Times, "People are ready to throw any dollar amount at anthropic. It's just about when they want to pop their heads up and say we're ready. >> I wait I still can't I do you know what I think like >> it didn't you're on a roll right now. It did not hit me until that the largest fund raise in history at the Ramco was only 30 billion in terms of actual funds raised. Like >> oh yeah, >> this is making even less sense to me right now. This is just like you're getting a 122 bill in the private markets and you're like this energy and intensity to go public. But well, I think yeah, they will go public. Um, you know, if they they will go public, they will try to raise as much money as they can on the private markets, but it's a balance there because you don't really want to be this third AI company to go public. >> No, you don't. >> You're going to have there's going to be limited money out there to fund you. >> You don't That's why No, no. I think that's the intensity of who's getting out and when. I think that's why it's so intense right now. >> All right, let me see if I can just build on my winning streak here for for one more one more little fun thing here. Uh, and that is uh is was Mythos Marketing or was Mythos real? Um, this is from TechCrunch. Um, Anthropics Mythos has written Firefrox's approach to cyber security. In a post published on Thursday, Misilla said, "Mythos has unearthed a wealth of highsecurity bugs, including some that had lain dormant in the code for more than a decade. That is a significant improvement from what AI security tools were capable of even 6 months ago. Until now, AI bug finding tools have come with severe drawbacks. Uh, but Misilla's researchers say the latest generation of tools have turned a corner, particularly now that Agentic systems can assess their own work and filter out bad results. The results are striking. In April 2026, Firefox shipped 423 bug fixes compared to just 31 a year earlier. Um, this is from a distinguished engineer at Misilla. Things are actually suddenly very good. We see that our own internal scanning. We see that on external bug reports and we see that in all sorts of signals across the industry. They jumped from teens of bug finds to 423. Still not coming around. Not. You had a streak. But I'm still not coming around on this one. I don't Okay, now I'm going to go back to one. A 15-year-old error in how the browser parses an HTML element was one of those 12 bugs uh that they published details on. Is that a vulnerability that is kind of like like were what what of these bugs were just true vulnerabilities that could kind of like cause catastrophe and take down a system? I think that like finding bugs and bringing more attention to software bugs and are these things that like it's cool. I mean that is the promise of AI and I think is it mythos specifically or did anthropic invest and use the previous models to do the same kind of work or did it just bring attention to it now? I don't know sandwich in a park mythos until we hear more about it see something concrete >> and again you we can say this is concrete but or do you believe this firmly confirms mythos is not marketing I'm going to just go with Ethan Mllik the AI expert in Wharton professor he says I realize that mythos as hype means two different things to different groups for insiders it means mythos was not a magical step change in AI ability. For outsiders, it means Mythos couldn't really find zero day exploits. The latter was wrong. Uh the former was likely right. >> Wait, >> so the second one, so Mythos can find zero day. >> So that's magical step. >> Now I agree with you. Now I agree with you. That's what I'm saying. It's not a magical step change in AI ability, >> but it can't find zero day exploits. Okay, let's just agree there. >> Yeah. Yeah. All right. We agree. >> Cool. All right. Uh so before we go to break, we have to go to break because we're going to need to spend at least a good chunk of our time now reading from the Open AI uh an Elon trial and some of the evidence there. U but before we go to break, um I want to talk a little bit about our AI summit that we have in San Francisco on June 18th. Look folks, I attempted to post a short episode Wednesday morning talking about what was going on with this event. Somehow for some of you, there were some ads that were playing in front of that. It was supposed to be an ad-ree episode. I tried to take those ads down. It didn't work. Let me tell you about the AI Summit right now. Uh we're going to have this thing called the Big Technology AI Summit. It is in San Francisco at the Commonwealth Club on June 18th. It is a day of conversations. Starts, doors open at like 12:00 or 12:30. Conversations start at 1:00. They run till 5:00. We'll have a wine reception on the roof. Very small. It's going to be 200 250 people. It's properly priced. I believe it's under $100 right now, although the uh tickets will rise as demand goes up. Um, and we have a great lineup. We have Greg Brockman from OpenAI who's coming. Uh, the president of OpenAI, Arvin Vincent, the CEO of Perplexity, Aaron Levy, the CEO of Box, Lauren Good, the senior correspondent uh, from Wired is going to be there. And, um, we just confirmed that Dylan Patel from Semi analysis is going to be there. It's all-star lineup. It's going to be a really great day. Um, so if you check out summit.bigtechnology.com, uh, you can grab a ticket while they still uh are out there. We're on our way to to being sold out, so you should definitely do that while you still can. San Francisco, June 18th, Commonwealth Club, be part of the first one of these things. Summit.bigtchnology.com. Now we go to break. We'll see you on the other side with a dramatic reading reading of Sam Alman and Mera Morat's text. Back right after this. And we're back here on Big Technology Podcast Friday edition. Uh we're here with Ranjan Roy of Margins. Uh Ranjan, u when these text messages between Sam Alman and Mera Maratti, the uh former CTO of OpenAI came out, these are the text messages that they were sending to each other uh during what's called the blip or when Sam Alman was um was fired over a weekend and then eventually reinstated. I texted you that we must read them uh as a dialogue here. Uh, and I think that will give people uh the way give people a feel for uh what it was like at the time. >> Where should we start from the beginning on this? >> Let's start from the beginning. It won't take too long. >> Let's start from the beginning. >> Okay. All right. November 19th, 2023 at 9:43 a.m. So, I will read Sam Alman's parts and Rajan will read Meras. Can you please officially invite me to the office for a meeting? Yes, I will. Do you have an update you can share? >> Adam is trying to get the board to agree to configuration. He is now saying they need till the end of the day. Sai and I said that doesn't work and that we need to start prepping prepping for plan B. >> Okay. Okay. Please give me a second. I'm about to speak to them. >> Okay, great. Have an update. Let me know when you can talk. And then that was at 10:15 a.m. 5:37 p.m. Are you on with them? unrelated problem if you're still waiting. >> Not yet. Just in a quiet room because I didn't want all the outside theater. >> 6:23 p.m. Sam Alman. Can you indicate directionally good or bad? Satya and others anxious. >> Directionally very bad. >> Okay. Can you wrap up soon? Lots of pressure from Microsoft for an update. >> Sam, this is very bad. >> Can I come in? >> They don't want you to. What do you want to make it better? I'm still willing to walk away if that helps. If they are ramped up for crazy lawsuits against me, then I'm not sure what. Can you please tell them I just want to resolve this however and would like to join? >> They are convinced about their decision. >> For me to be fired or some new thing? >> Yes. For you to be gone. >> Okay. Then can I come in and talk about a path forward with them? >> They're saying no and need more time. >> More time for what? They've walked me through all the reasons and the issues with you and why you can't be CEO. >> Can you ask why they've been saying all weekend they wanted me back? >> They want a new CEO in place. >> Can you say you will call back in 10 minutes? >> They want to have a new CEO in place tonight. Not me. >> Do they know who can I tell SA? Is this final or should you add SA in? >> Trying to add Satia now. >> Still don't want me. New guy is rando Twitch guy. They don't want you. >> End scene. >> Oh my god. It really gives you a feeling of like what it was like to be there at that time. How stressful. >> I also I mean the fact that Meera became interim CEO is adds to the whole thing. But Rando Twitch guys is definitely gone from the entire thing. I think he's got to be worth over a billion dollars. He's like a founder of Justin TV, CEO of Twitch. I mean, this is an incredibly successful entrepreneur and all he gets is rando Twitch guy. He wrote he wrote on his Twitter, "It's an honor just to be nominated." And I think he made this background rando Twitch guy. Yeah, but it's funny because I mean I'll just say this, like when this whole thing um continued when this whole thing sort of seemed to wrap up, you and I had a discussion and we both agreed in no uh uncertain terms that the drama within OpenAI was just not anywhere close to being over. Um that the structure still lent itself to uh exploitation and uh and not exploitation to instability. And clearly we're we're like seeing that now. Oh yeah. I mean I think we've said this. Yeah. It is crazy that that was two and a half years ago maybe. I mean that uh that certainly the internal drama has gotten you know has not gotten any less. I mean remember all those departures were just two to three weeks ago, right? But it is amazing to know that Sam knowing how intense and stressful that was appears to be firmly in control right now. >> Oh, absolutely. I mean, they did they did eventually, you know, they brought him back. Um, and yeah, he's definitely in control, but the question is like, can Elon still use this sort of I mean, it's interesting that this drama is coming out now. I I guess my initial reaction was like, well, what does that have to do with Elon's, you know, control of the or argument against the nonprofit side of things. Um, but I guess it's all it's all related because of the it's all about the structure basically and the structure is still not settled. >> No, not only and it's also about the IPO of everyone's respective uh company invested interest in this as we were just talking about. But yeah, I think do you think Elon is doing this for the good of humanity and making sure that nonprofit structures forever uh remain intact and uh respectable? >> No, we know that he's doing it because he invested 30 plus billion dollars and feels betrayed. >> Wait, 30 >> in that nonprofit. >> 30 million. Million. >> Did I say billion? Million. >> Yeah. And nowadays, what's the difference? But uh >> I think it's quite significant, but I won't debate on that >> for us normies. But when we're talking about fundraising, um well, I mean, yeah, that's why I don't think 30 million is significant to him like at all. I think it's strategic. I think it's related to I mean, I don't even think it's X AI. I think also I I agree actually. Yeah. Going back to your earlier point, I think he dislikes Sam significantly more than he dislikes Dario. >> Yeah, exactly. Who who who is >> the dark horse that kind of somehow appears and comes is it Masa's son or who would be the most unlikely character that somehow becomes directly involved in the Elon Sam Daario triangle. Sadia Nadella I mean Sadia is going to testify on Monday and Elon is blaming Microsoft for giving OpenAI the money and uh sort of pushing this for-profit move because sort of it had to pay back Microsoft. >> What could what do you think Satcha is going to say or do? I think SA is going to fully throw open AAI under the bus >> 100%. Thousand%. Yeah. >> And we already have this like very interesting email uh chain between Microsoft executives in 2018 um trying to like decide whether they should invest in OpenAI and it I mean they eventually did make $13 billion of investments in Open AI. Um and um and it not not after like some real hesitancy among the executives. Um so there's this great the email chain is actually out there. It was a great wired article out there talking about it. This is what Satya Nadella's email was to like a whole group of senior leaders about whether they should help funding them. He goes overall I can't tell what research they are doing and how if shared with us could help us get ahead. From what Elon is telling everyone he feels open AI is at the verge of some big AGI breakthroughs. They clearly are pushing AI at a level none of our first party or third parties are. Uh Microsoft CTO uh Kevin Scott said there could be some PR downsided uh downsides associated with not funding them and having them storm off to Amazon in a huff and shick talk us and Azure on the way out. He goes, "I'm highly skeptical of imminent breakthroughs in AGI. In my opinion, they're treating us like a bucket of undifferentiated GPUs, which isn't interesting for us at all. They are not out there saying there's a critical piece of research uh that we can do only on Azure because of his technical differentiation. If they were then it could be interesting marketing. Another executive my worst case scenario is that having them ditch Azure for AWS and badmouth us on the way over. I mean it's amazing that this was what they were thinking in Microsoft. Uh but they eventually did it and maybe credit to them for doing it, but they eventually uh got so sort of exasperated with OpenAI that we've seen that they've just been pushing uh further and further away from the company. >> Do you know what I love about this? >> What do you love about this? >> Everything is comms in the end. Everything. >> Yes. This this validates when I I get nervous that I look at everything in the guise of like that it's communications, but like this is a multibillion dollar investment. They're talking about Azure's technical differentiation from AWS and all like in the end they're just worried about how they look and what it's going to look like. I love it. I love this is the secret we are giving to our listeners. We did get we did get a listener write in and say you guys are talking about comms too much and like fair enough you know uh we take that to heart. Uh but also maybe we're not. >> Look at look behind the curtain. Look behind the curtain. >> Okay. So look I think that that uh we will continue to review the evidence and this case as it comes out. Obviously it's a jury trial. So, u as much as like what we see in terms of the facts of this case, you know, matters and they and it does and I'm not going to short change the jury, the emotional appeals, the jury matter a lot. And I think that's what you see both of these um camps trying to, you know, sort of push out in public. So, we will continue to talk about the case um which should resolve relatively soon. Um but we'll have another week of explosive testimony, I'm sure, um this week. So, Ranjan, I want to finish this week talking a little bit about the layoffs uh that we're seeing uh out there. I mean, of course, you have the block cutting, I think what was it, 40 or 50% of the company. Uh this week, you have Coinbase uh saying that 14% of its workforce is going to be gone. Uh and of course, what what is the rationale? The rationale is one, and I think Brian Armstrong, the CEO of Coinbase, gets credit for this. He says first we're currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner faster and more efficient for our next phase of growth and then ring the bell. What's the other reason? It's AI. AI is changing how we work. Over the past year, I've watched engineers use AI to ship in days. What used to take teams weeks, non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small focused team has changed dramatically and it's accelerating every day. So we have to basically he's saying we have to restructure Coinbase to do it. Um the question I asked at the top of the show is the question I bring to you which kind of maybe will bring us full circle um from our whole discussion today. You know is this AI like actually being able to do the work of many people or is it just cope? Both. This one I have to go both. This one I uh like again all of these companies just looking Coinbase's uh compound annual growth rate of employees over the last 5 years actually it's only it's like 10% which isn't as bad as some of these others. Um these companies got very big and especially in big tech and the metas and the Googles of the world. So, I do believe just having kind of like and also Brian Armstrong is an entrepreneur and I mean I get this firsthand like if your company starts to feel more bureaucratic in general, you would love to be able to kind of flatten it, clean it up, which is what they said they were doing. I do like the ideas around I think everyone has to be an individual contributor and can't be only a manager. I think that there can't be more than five levels of hierarchy from the CEO. I think these are really interesting ideas and I do think like they also like uh and it it's not just AI too as a lot of these companies just got fat and got bloated and it's that as well and using AI is kind of the excuse there. But of course, like I mean I do see this more and more and I do think it's right that like the whole if you're not getting on board the AI train. I do think it's there's a reality to it that like if people are just being completely resistant to changing the way they're working, companies are going to get more and more and more aggressive. >> Very interesting. So there was a post from a meta engineer named Arnav Gupta um that is sort of the counter here and and maybe maybe it is the same side of the of of the coin or the other side of the same coin. Um he wrote this the layoffs will continue till we learn to use AI. Um from the pragmatic engineer frame this really well. He writes that his point is that a lot of these layoffs could be backwards. They are probably happening because more AI spend doesn't correlate with better business results at least yet. So here's this is directly from the post. These layoffs, even if they are not because AI is replacing you, and even if they are some form of AI washing, these layoffs are still because of AI. And these layoffs will continue till we learn to use AI. Till we figure out how the GDP of the world actually grows because of AI, we have to offset the $70 billion of combined open AI and anthropic enterprise revenue of annual token spend by cutting some salaries. Until we figure out how to unblock each other faster, we can always be removed from the org chart itself. Basically, the argument here is um if AI was going to be, you know, if AI was going to help the company be more productive, then, you know, they wouldn't need to cut these people. Um they're cutting the people because they haven't yet found a way to make themselves more productive uh with AI. Uh and therefore, they must cut until they do. Your thoughts? I mean I do think I don't know like I see this more and more that uh like the difference between AI makes good people great like like the ones who are kind of taking it on and your level of productivity but it doesn't necessarily shift the entire organization. So what I do think I and I think this is the right thing to be thinking about. Everyone is thinking about what does an organization 3 to 5 years down the road look like and there's going to be a lot of fundamental shifts like I don't know I've been thinking about this a lot and like the way a corporation is structured as of today it's not that old I mean it's the last 40 30 to 50 years but even in the last 15 to 20 years like IT departments were more kind of like a small part of organizations and it was the internet and then cloud and these things that really like blew up how big IT organizations were. So the idea that companies aren't going to have to completely change the way they're structured in the next few years I think is nonsensical. So people are going to start figuring it out. And also I mean again going back to incentives and comms not to bring everything back there when you're at a moment that the market will reward you for just saying layoffs and AI. I mean, why not >> about to happen, right? >> Yeah. I mean, I like what this guy Rohit Krishna had to say also. One bare sign of all the AI layoffs is that companies couldn't figure out how to produce even more by keeping the people and adding AI. I'm not entirely sure how to think about this. I mean, ultimately it is. I think this is sort of what you're getting at. It's a change management and a company type of problem, right? Um, as opposed to a technology problem, maybe. I don't know. Or maybe these maybe there's a point here. Maybe AI hasn't really increased productivity at all and we're just diluting ourselves. >> And uh Elon Musk and and Daario can partner all day long, but it's a bunch of fooy. See, I think in aggregate it has not yet because it's still again and at the enterprise level especially it's still other than coding it's still not widely adopted at any kind of scale especially on the agentic side and that's something like it's picking up but it's not just massively adopted but I don't know I think like to me it's kind of if 15 I remember like in the early days of Microsoft soft word and word processing if some imagine someone's like uh no I'm just going to write this on a notepad for you and I don't want to use a computer I don't know do like do you think this is fundamentally different than past technological shifts or I'm not going to do this on email I'm going to just send a letter is it is it comparable >> I do think that it's different than past techn technological shifts I would argue you uh I just think that this the tools are more powerful this time around. >> I guess you can say that in the past >> but that probably means the divergence will be bigger. >> I don't know like uh to me I guess yeah to me it's still not significantly different than manufacturing automation in the 2000s and what that did to bluecollar work in the US and also outsourcing within China. And this is a whole other discussion. I know we we only got two minutes left, but but to me it's still it's just happening in knowledge work right now. So it's >> right >> a much louder story. >> Okay. Bottom line then before we go. Um so you say both. What is it more? Is it more sort of posturing um more AI washing or is it actually more uh productivity with AI? >> It's more preparing for an AI future. It's not that it's already happened yet, but everyone gets >> they got to figure it out now. Otherwise, they will have issues later on. >> I I will I will 50 I will mostly agree with that. Let's just say that. >> I just said it wasn't coms. I just said it wasn't coms. >> But I will say this is what I'll I'll nuance I'll caveat with. Um two of the biggest companies that have done this crypto companies and we know crypto's on the outs. So, it leads me to believe it might be business business realities versus AI improvement. Funny that Brian Armstrong and Jack Dorsey have both seen the light about AI as crypto hits its downturn. >> Let's end on that just so we get some angry comments on the way out. >> God. All right, there goes the show's ratings. Ranjan, thank you so much. Great to see you. >> All right, see you next week. >> See you next week. Thanks everybody for listening and watching and we'll see you next time on Big Technology Podcast.