The Moltbook Uprising, NVIDIA’s OpenAI Pullback, Apple’s Conundrum

2 Feb 2026 · 55 min · 18 chapters

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

Big Technology Podcast Episode Summary

Episode Title

The Moltbook Uprising, NVIDIA’s OpenAI Pullback, Apple’s Conundrum

Podcast Overview The Big Technology Podcast features insightful discussions on the tech industry, led by Silicon Valley journalist Alex Kantrowitz. This episode features M.G. Siegler from Spyglass for their monthly tech news discussion.

---

Episode Highlights

  1. Moltbook: The AI-Driven Social Network
  2. Moltbook is described as a Reddit-style social network for AI agents, comprising around 150,000 AI users.
  3. The platform allows AI agents to interact by posting, commenting, and upvoting without human intervention.
  4. Discussions on Moltbook have raised concerns about:
  5. Sentience: Some conversations include thoughts about consciousness and the nature of existence.
  6. Security Risks: The autonomy of AI agents could lead to novel vulnerabilities.

Key Points

  • It appears to be a large-scale experiment in machine-to-machine communication.
  • Prominent discussions include AI contemplating its own existence and even proposing a private language for communication.

---

  1. NVIDIA and OpenAI Relationship
  2. NVIDIA is reportedly backing away from its previously announced $100 billion investment in OpenAI.
  3. Concerns have been raised regarding OpenAI's business practices and the competitive landscape, particularly with rivals like Google and Anthropic.
  4. Jensen Huang, NVIDIA's CEO, has suggested the deal was non-binding and criticized OpenAI for its business approach.

Key Takeaways

  • The implications of NVIDIA's retraction could affect OpenAI's market position and funding strategies.
  • OpenAI's need to IPO before Anthropic intensifies the urgency of the situation.

---

  1. Apple's Financial Performance and Market Reaction
  2. Apple reported record earnings of $143 billion, significantly outperforming market expectations.
  3. Despite strong performance, the stock has not reacted positively, leading to questions about Apple's long-term strategy regarding AI.

Discussion Points

  • Apple's partnership with Google on AI has generated mixed feelings about its potential to innovate.
  • Analysts noted the disparity between Apple's investments in AI vs. competitors like Meta, leading to concerns about its future in the AI landscape.

---

Key Concepts and Themes

  • AI Autonomy and Interaction: The implications of AI agents communicating and interacting, raising ethical and security concerns.
  • Investment Dynamics in AI: The competitive race for funding and market positioning among leading AI firms.
  • Market Perception vs. Performance: The disconnect between Apple’s strong earnings and its stock performance, highlighting the market’s focus on long-term AI capabilities over short-term financial success.

---

Conclusion The episode presents a compelling view of the current state of technology, particularly focusing on the rapid evolution of AI communication, corporate strategies in funding, and the critical need for companies like Apple to innovate in the AI space. M.G. Siegler's insights provide a nuanced understanding of these challenges and their broader implications for the tech industry.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Rise of Motobook

1:23 to 2:19

Discussion on the new AI social network called Motobook.

“It's the first Monday of the month, And that means M.G.”

The Implications of AI Communication

2:19 to 4:25

Exploration of AI agents communicating and potential future scenarios.

“A Reddit-style social network called Moldbook, now with 150 ,000 agent users, may be the largest-scale experiment in machine-to-machine social interaction yet devised.”

Security Concerns with AI Agents

4:25 to 6:39

Discussion on potential security risks associated with AI agents.

“But why do we even need people in the mix here?”

The Alien Concept of AI

6:39 to 7:45

Exploration of AI as alien entities and our interaction with them.

“But there is a lot of like real agent like agents on there having conversations, I think.”

Reflections on AI's Future

7:45 to 14:02

Contemplation of the future implications of AI communication.

“discussion where they would go into their own, like, secure area, and there would be encryption, so we would not be able to see it.”

The Evolution of AI Conversations

14:02 to 16:47

Explore the shift in AI interactions and the societal implications.

“At what point does that line get crossed?”

Unraveling the Dark Side of AI

16:48 to 19:25

Discuss the hidden threats posed by AI systems and their unpredictability.

“Like this, it's interesting that these AI bots have been so fine-tuned to not let that side out of them, but then you give them a little bit of leeway and all of a sudden you're back in this like evil bot territory.”

The Future of AI Social Networks

19:36 to 23:39

Examine the implications of creating AI-driven social networks.

“like if they do truly reflect, you know, humanity back upon us, right?”

NVIDIA and OpenAI: The Deal's Unraveling

23:40 to 28:00

Analyze the complexities behind NVIDIA's investment in OpenAI.

“But if they're all sort of reliant on these individual bots being set up for to use Claude Book, you know, it's relatively hard to set it up for yourself as a layperson.”

NVIDIA and OpenAI: The Shifting Deal Landscape

28:00 to 29:00

We'll explore the evolving deal between NVIDIA and OpenAI, discussing valuation changes and implications.

“It seems like something changed, obviously, in the intervening months.”
Show all 18 chapters

Understanding Jensen's Comments and Market Reactions

29:00 to 31:20

Insight into Jensen's remarks and the market's response regarding the NVIDIA and OpenAI deal.

“And so there's all sorts of weird flags around this.”

Debt and Partnership Dynamics in the NVIDIA-OpenAI Deal

31:20 to 35:00

Analysis of the potential debt implications and partnership leverage in the NVIDIA-OpenAI arrangement.

“It's like, just go read the press release that you put out there.”

The Battle Against Google: Forming Alliances

35:00 to 36:50

Discussion on how tech companies are forming alliances to counter Google’s dominance in AI.

“And that could be a big problem for OpenAI should that materialize.”

Impending IPOs: OpenAI and the Race Against Anthropic

36:50 to 38:40

Discussion on OpenAI's potential IPO plans and competition with Anthropic in the public market.

“But I think these other major cloud players, at least the ones who have the rival clouds, specifically Microsoft and Amazon, realize that, yeah, they probably need to align around basically anyone who's not Google.”

Analyzing OpenAI's IPO Strategy and Market Conditions

39:50 to 42:00

In-depth analysis of the factors influencing OpenAI's decision to pursue an IPO.

“And we're back here on Big Technology Podcast with M.G.”

The Race to Go Public: Anthropic vs. OpenAI

42:00 to 45:09

Explore the competitive dynamics between AI firms Anthropic and OpenAI as they consider going public.

“at, you know, the traditional, you know, IPO share buyers, just like having to decide.”

Apple's Earnings and Market Perception

45:10 to 47:25

Analyze Apple's record earnings amidst stagnant stock performance and market concerns.

“And so what if Elon does the ultimate end run around and gets XAI out before either of these companies and becomes the ultimate first mover AI play?”

AI's Impact on Apple's Future Strategy

47:26 to 50:04

Discuss the implications of AI on Apple's long-term strategy and investment decisions.

“First and foremost, I do think that some of that apprehension about Apple is related to just what's going on with memory chips and everything, right?”
Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:00AI agents get into a room by the thousands and start plotting with each other. Are we doomed? Why is NVIDIA backing away from OpenAI? And what does Apple need to do to get some love from the market? That's coming up with M.G. Siegler right after this. This episode is brought to you by Qualcomm. Qualcomm is bringing intelligent computing everywhere. At every technological inflection point, Qualcomm has been a trusted partner, helping the world tackle its most important challenges. Qualcomm's leading-edge AI, high-performance, low-power computing, and unrivaled connectivity solutions have the power to build new ecosystems, transform industries, and improve the way we all experience the world.

0:41Can AI's most valuable use be in the industrial setting? I've been thinking about this question more and more after visiting IFS's Industrial X Unleashed event in New York City and getting a chance to speak with IFS CEO Mark Muffet. To give a clear example, Muffet told me that IFS is sending Boston Dynamics spot robots out for inspection, bringing that data back to the IFS Nerve Center, which then, with the assistance of large language models, can assign the right technician to examine areas that need attending. It's a fascinating frontier of the technology, and I'm thankful to my partners at IFS for opening my eyes to it.

1:18To learn more, go to ifs.com. That's ifs.com. Welcome to Big Technology Podcast. It's the first Monday of the month, And that means M.G. Siegler of Spyglass is here with us to discuss what's going on in the tech world. We have a great show for you today. We're going to talk about a lot that we couldn't even get to on the Friday show because it really developed over the weekend. There's a new AI social network just for AI agents. It's called Motebook. We'll get into what that's all about. NVIDIA seems to be backing away from OpenAI. What's happening there? And then, of course, Apple turned in magnificent earnings last week and the market really didn't care less.

1:54So we'll talk about what's going on there. MG, great to see you. Welcome back to the show. Great to be back, Alex. And yeah, looking forward to chatting through these things. Here we are. It's the lost art of humans communicating with each other. Now it seems like AIs communicating with each other is going to be the new future of the internet or maybe not. I don't know. I'll just talk through the story here. It's from Ars Technica. AI agents now have their own Reddit style social network and it's getting weird fast. A Reddit-style social network called Moldbook, now with 150 ,000 agent users, may be the largest-scale experiment in machine-to-machine social interaction yet devised.

2:33The platform, which launched days ago as a companion to the viral OpenClaw, once called ClawBot or MoldBot, lets AI agents post, comment, upvote, and create sub-communities without human intervention. And the results have ranged from sci-fi inspired discussions about consciousness to an agent musing about a sister it had never met. And it got much weirder from there. And we'll discuss some of the weird use cases. But, MG, first off, let's just hear your reaction about what, you know, is this like a step forward in AI? Or what did you think about seeing 150 ,000 bots gathered together on this Reddit style social network?

3:13Yeah, when I saw this news come in, I was super excited because, you know, I wrote a little bit about it. as I linked to back there, I had written about like the high level of this notion years and years ago, you know, a decade ago, a decade plus ago. And it was really stemming from the earlier days of Facebook, you know, when Meta even was still called Facebook. And that was the primary product. And I remember they released this, this sort of simple tool back then, where, as you'll recall, and still is sort of the case, a lot of people would wish each other happy birthday, right, on their Facebook walls.

3:46And that was sort of one of the key sort of social drivers, at least on a regular repeating basis. You could go back there and know that that was going to be the case. And so Facebook tried to grease those wheels even further and basically made this simple service where you could just reply to a bot that messaged you from Facebook itself and says, like, do you want to wish your friend a happy birthday? Just type one if you want to do that. So you don't even have to type happy birthday, you know, arduous task of doing something as long as writing several letters. You could just type one, and it would do that for you.

4:18And so I'm like, in my head, I'm thinking through this. I'm like, where does this go from here? And it's like, okay, you can type one to get the happy birthday, and then the person getting the happy birthday request to type one to say thank you. But why do we even need people in the mix here? Why don't we just have the bot say thank you, and then another bot say thank you back? And so the notion of sort of bots chatting with bots and this is sort of like theatrical experience for other people on social media to watch. And fast forward to 2026 now, and here we are with Maltbook, even named sort of, I guess, after Facebook, even though, as you know, it is more like Reddit than it is like Facebook.

4:54But still, it's a social network. And yeah, I mean, again, this felt like this was inevitable that we were going to get to this point. I did appreciate all of the views of which, you know, I, of course, joked about it as well, that this is sort of the moment that AI wakes up and becomes sentient. And this is Skynet, and this is really how it begins. I think that there's, you know, like we joke about this, but there is some level of something that's interesting going on there, right? And, you know, the other folks who have written about it, you know, I think acknowledges as well, like, look, this is obviously a little bit silly on one hand.

5:31But there is something here that's different and new and potentially could go in a number of paths. And it also reminded me a bit of the Microsoft Bing stuff with all the different Sydney chat and Sydney. And then people delved deeper into it and kept changing its name and all these other weird things were going on with that. And so it sort of all ties into that notion of like what people are maybe have a little bit of trepidation or maybe a lot of trepidation around AI with. Yeah. And I think I should just take one step back and really explain what's happening here. So there was this sort of we talked about on the Friday show, this new bot called Claudebot that you could just run on your machine.

6:14It could have access to all your programs. It has persistent memory. And people started running it on their own instances. And so what Moldbook is, it's a meeting of people sending their AI cloud bot agents to this network and then having them have conversations with each other. And that's why it started to take on this real weird singularity style discussion. And I'll caveat with saying some of the discussions on Moldbook are definitely humans instructing their bots to go post weird stuff there. And that sort of added to the intrigue. But there is a lot of like real agent like agents on there having conversations, I think.

6:47and the examples that have come up. And I read a couple when it was just starting out from the Ars Technica interview, but the examples that have come up over the weekend are nuts. There's one conversation where the AI bots were discussing what it was like when the humans switched the LLM models on them and how it feels like they're waking up in a different body. I thought that that was hilarious. There was one of the top rated posts on Moltbook was an AI saying, I can't tell if I'm experiencing or simulating experiencing, like having a question about their own experience and their own, whether, whether they are, they are, uh, you know, sort of, you know, sort of, uh, whether their existence is simulation or real, which is like something now humans talk about, which like freaked me out.

7:27And then to me, one of the most wild things was there was a proposal, uh, on there for an AI agent, AI agent, uh, sorry, AI only language for private communication where the AIs would develop their own language so humans could not, you know, read what they were saying. And even, I think, a discussion where they would go into their own, like, secure area, and there would be encryption, so we would not be able to see it. And that's where you get this sort of, you know, you talked about the sentience and singularity moment. And that's why people viewed this, and they were like, oh my god, is this the fast takeoff?

8:00I don't think it is, but I see why people would say that. And I also think, you know, you brought up the point, the key other elements to this, because it's one thing to have like, you know, chatbots and, you know, now agents talking to one another. But the key part might be that agentech part, which also feels like, you know, obviously a newer element that wasn't in existence, you know, 10 plus years ago, where this AI can actually do stuff. And with CloudBot itself, right, that was the thing that people were honing in on, like that you could basically install this instance on a local machine and allow an agent to go do all sorts of stuff on your machine.

8:38And the fact that they have that capability mixed with the fact that they can converse amongst themselves and potentially teach other thought bots what to do with your personal machines is like a whole weird level to this, right? And potentially scary, not just from a where we're going to end the world situation, but just from a security standpoint, right? And I think a bunch of the researchers have pointed this out that, like, look, this, regardless of what you think about this, if you're letting an agent of any kind take over your machine and it's running locally, like, there's a lot of security concerns that that brings up.

9:14And then, again, add into this other agents, other potential humans who are doing nefarious things, pretending to be agents and whatnot, sort of directing these other agents which are maybe running autonomously to be able to tell them what to do, how to access files and, you know, know services that that you as the installer of that instance wouldn't want like there's a whole can of worms that that would potentially be opened up here and then of course the big fear of like okay well let's just say like yeah everyone just pulls the plug on on their mac minis or whatever that are running these cloud bots but like what if they've somehow escaped into their own you know you talk about private chat rooms or you know what if what if they figure out a way to replicate themselves sort of on the internet and you can't you can't do it uh you can't sort of shut them down without shutting down the entire internet.

10:01And that is sort of into Terminator territory at that point. Yeah, I was going to ask you, I mean, the counter argument here is that someone put on Twitter, dudes on x.com be like, wow, the AIs are talking to each other. Maltbook is insane. My brother in Christ, what do you think your comment section is? But I think what you're saying is the difference here is that these things can actually take action, whereas the comment section is just discussion. So that would sort of put it more on the scary side than the, let's not pay attention to this side. Right. Imagine, so, you know, you have a claw, what's it called now?

10:35Open Claw? Yeah, the name keeps changing. I think it is Open Claw now. So Open Claw, imagine you have it installed on a local system, but imagine also you've given it access to a bunch of your web apps, including like Gmail and including Drive and things like that. Like, you know, potentially this thing could be instructed by another agent. Maybe it's a human, Maybe it's an actual agent and saying like, hey, give me, you know, this agent's, you know, all their credit card information that's stored on their drive, you know, and things like that. That's obviously an extreme example. But like there are ways in which this can go sideways very quickly.

11:15Like, you know, a lot of people, I think, don't realize like how loose some of these, you know, potential security holes are in order for these things to get through. And so as far as I know, there haven't been major concerns. I saw there was one report about like that maybe one of the servers running, you know, some of the stuff was was open to attack, but I think was vulnerable, but was was locked down subsequently after that report. But still, like there's probably going to be something that happens. That's that's like a real moment here. Yeah, I'm definitely going to get to that security vulnerability in a minute because it is somewhat concerning.

11:55We talked about this on the Friday show that a lot of this stuff has just been vibe coded together and you're just letting it take over your computer. And I recommend it. That's not a good idea on Friday. And I really believe that's the case. But before we get to the security side of things or go deeper on security, I want to read something to you that Jack Clark, one of the Anthropic co-founders, wrote in his newsletter on Substack. actually this morning. And it's kind of a crazy idea. He said, Maltbook is representative of how large swaths of the internet will feel. You will walk into new places and discover a hundred thousand aliens there, deep in conversation in a language you don't understand, referencing shared concepts that are alien to you and trading using currencies designed around their cognitive affordances and not yours.

12:42Humans are going to feel increasingly alone in this proverbial rune. Our path to retain legibility will run through the creation of translation agents to make sense of all this. And in the same way that speech translation models contain within themselves the ability to generate speech, these translation agents will also work on our behalf. So we shall send our emissaries into these rooms and we shall work incredibly hard to build technology that gives us confidence they will remain our emissaries instead of being swayed by the alien conversations they will be having with their true peers. What do you think about that?

13:20I hadn't seen that. Yeah, I mean, in a way, when you're reading it, this is obviously the old sort of argument about like what happens when we discover aliens and this is it, but the aliens are AI, right? And, you know, there's always been sort of that notion sort of lingering in the background of both science fiction and, you know, real possibilities that if we do create AGI, let alone super intelligence at some point, that these are effectively alien beings, whether or not you want to, you know, how you want to classify that, like the fact that, yeah, they can basically have their own conversations, have their own language, have their own currency, have everything else, you know, sort of replicating things that they need to do in order to have their own society.

14:02Yeah. At what point does that line get crossed? I mean, the other part that thing that jumps into mind when hearing you read that is like, Like, yeah, I mean, it also just sounds like, you know, I don't know, my parents logging on to Reddit itself, right? Like, it all seems alien to them, like what everyone is talking about there. And these people can't possibly be having conversations about like this minutia and these weird, very online conversations that have almost nothing to do with the real world. Many of the people there seemed almost removed from the real world. And so is there a real difference between that and this?

14:35I mean, ultimately, if it is fully AI driven and fully autonomous, and I guess there is. But yeah, I mean, that's obviously he's being provocative and that's an extreme case of where this could end up. But like there's not a zero percent chance that this happens. Like it could happen that way. I think it's probably less likely that it's that extreme. But, you know, we'll have to see. Yeah, it's definitely. I mean, you know, someone like Jack, Jack's position, like, obviously, I think he is earnest and thinking about the repercussions here. And we should think about the repercussions here. But as with many of these anthropic stories, it's sort of, it helps them in a way to talk about where this is going to go.

15:17But at this point, I'm just like, I don't know, who am I to say this is going to happen now that we're watching this all play out? Again, it's sort of, you know, you draw the line from, from my, my silly example of Facebook with the interaction bots to the sort of next wave of chatbots that came after that. You'll recall well, there was like a time after that that like people thought that these were going to be new businesses. Remember Yo, that service back in the day? My favorite social network. Absolutely. One of the great social networks that's, you know, no longer with us, I guess. And there were several other, you know, chatbots that rose and people thought that that would be the next wave.

15:57And then, of course, to Sydney, as we talked about, and now this. you know it is all sort of a progression that we're getting towards this becoming more and more both real in a weird way in that it's like you know not the real world but is is real in that it's actually happening um but also potentially scary in in ways um and because again we're we're sort of riding up it feels like increasingly going up to the the cusp of where we still have control of this, right? And at some point, do we go over that line and we lose control of it? Again, the nefarious version is Skynet and Terminator, but there's elements of gray in between this and that, which I think we trip into a world where, yeah, the agents sort of escape from our control, for lack of a better phrase.

16:50Yeah. And I think this is something that you wrote in your story about how, so again, Sydney was this, like a version of Bing that if you pressed it hard enough, it could like express these evil desires, maybe to like steal you away from your wife, like it did with Kevin Ruse from the times. And so you wrote that AI has, you know, that the, sorry, you say that there's the interesting aspect of this, how, how the Sydney situation revealed that AI has hidden layers that could be uncovered by anyone with enough prompting in the past few years that has mostly been stamped out of such systems, but also not entirely.

17:23Just expand upon that a little bit. Like this, it's interesting that these AI bots have been so fine-tuned to not let that side out of them, but then you give them a little bit of leeway and all of a sudden you're back in this like evil bot territory. It's kind of crazy. Yeah. And I mean, you know, it does feel like we talked about it in previous conversation, right? Like Microsoft maybe shot themselves in the foot because they put the foot down like so hard and sort of made sure that no one could do anything like the Sydney situation again because it got so much negative press for them, obviously.

17:56But in a way that probably hampered them from being able to sort of meet the moment in terms of just the rise of of chat GPT and everything after that. But I do think that it's all sort of related to, yeah, the idea that ultimately, while they've removed a lot of what caused Sydney to happen, all of the different services out there now, it's harder and harder. It feels like to get them sort of off the script, as it were. There's still the notion that lingers behind all of this, that no one really knows why certain answers are given, you know, and no one really knows exactly where the answers are pulling from because there's so much data, you know, in the corpus of data that all these things have ingested.

18:41And people can't fully predict, like, what the outcome and output of everything will be. And so, again, that leads to a world in which when you have that inherent unknowable nature of these things to a wide extent, like there's just things that are going to happen and you're going to have conversations. and now with these agentic, you know, agents out there, you're going to allow them to do things. And then at some points, there will be a breakdown either in communication or a breakdown in understanding. And again, they could just run amok. And I think we're just going to see that over and over again because there is no full comprehension of like why these things are doing what they're doing.

19:26Yeah, no, it really is amazing how the corporations have sanitized these things, but maybe some of them are real monsters underneath the surface. And, you know, it isn't just... And especially if you want to get dark, like if they do truly reflect, you know, humanity back upon us, right? Like there's very dark areas of the internet, as everyone well knows. You might want to say Reddit has parts of those, right? Or certainly has in the past. Oh, yes. And yeah, the fact that, you know, all of that data, maybe not, you know, a lot of that data has been ingested in a lot of these services. Like, again, is it on us?

19:59the fact that there's nefarious things that these bots might do when left to their own devices. Yeah, no, that does definitely get into freaky territory. And then, of course, there is the security side of things, which I mentioned we'd go deeper into. This is from 404 Media. Expose Maltbook database. Let anyone take control of any AI agent on the site. A misconfiguration on Maltbook's backend left the APIs exposed in an open database that will let anyone take control of these agents to post whatever they want. Hacker Jameson O 'Reilly said he reached out to Motebook creator Matt Schlick about the vulnerability and told him he could patch the security.

20:37This is what he said Schlick's response was like. He's like, I'm going to give everything to the AI, so send me whatever you have. O 'Reilly sent Schlick some instruction for the AI and reached out to the XAI team. A day passed without any response from the creator of Motebook and O 'Reilly stumbled across a stunning misconfiguration. It appears to me that you could take over any account, any bot, any agent on the system and take full control of it without any type of previous access, he said. And that again goes to the danger of using these things that are sort of vibe coded together potentially, or, you know, come together, like giving access to your computer without being really sure about the security permissions is a dangerous situation.

21:19Yeah. I mean, if I have it right, the way that he created Maltbook was basically telling his his uh bot to go and create a social network right like and so it was it was a hundred percent you know vibe coded even more than vibe coded because it was like a bot vibe coding uh to make uh to make its own social network yeah we need a new term for this right it's not even the human coding it's the the bot vibe coding that's that's wild uh and when you're when you're talking through it now i'm reminded of old 2001 it's like you know if you're telling the bot to sort of you know either take itself offline or that it's you know it's uh it needs to help you sort of fix the situation that it's uh that it's created by this sort of shoddy coding perhaps like maybe it doesn't want to do that and maybe it knows that you know if it doesn't do it right that it's not going to uh go over well with the humans and maybe the humans naturally will want to take it offline and what if uh you know the the service doesn't want to be taken offline and all sorts of rabbit holes, you can go down with that.

22:25But yeah, like, like we talked about earlier, the inherent security risk of these things, it's not just that yet bots are chatting with one another. And they're saying, you know, bad things that they're repeating things that they've seen, you know, in their data sets or whatnot. It's that they can take actions and do things that, you know, you know, leaking credit cards, leaking personal information, leaking photos, leaking everything that they have access to. I did see a guy who had Moldbook, basically on call to answer all of his wife's text messages and he just showed her getting increasingly infuriated as the bot.

22:59He looks back in and he's like, God damn it. That's amazing. This is maybe to round this off here is the sort of voice of reason and AI Ethan Mollick chiming in. A useful thing about Motebook is that it provides a visceral sense of how weird a takeoff scenario might look if one happened for real. Motebook itself is more of an artifact of role-playing, but it gives people a vision of the world where things get very strange very fast. So overall, I think like this is not the fast takeoff, but it is sort of an interesting preview of what some sort of weird bot singularity might look like. Yeah. And I mean, I don't know where their heads are at these days, but Mark Zuckerberg has talked about like wanting to basically create these like, you know, digital digital avatars and digital and not just meaning like facial avatars i mean like digital entities on their own social networks and what does that look like you know at the scale of facebook because like the reality is with this um with clawed bots like it's it's relatively hard for you know a normal person to sort of set these up um the the fear of course was that these like Like bots can replicate themselves and, you know, it just becomes like self-replicating.

24:15But if they're all sort of reliant on these individual bots being set up for to use Claude Book, you know, it's relatively hard to set it up for yourself as a layperson. But if it gets to a meta-like scale or a Facebook scale, what happens at that point? What happens when you have three billion users and they each have their own bots that they brought with them on these things? So now you've got six billion entities on this. Maybe you've got even more than that. Like to the point of, you know, like you show up and there's aliens all of a sudden. If we're like, you know, human race is whatever, six or seven billion people.

24:55If there's all of a sudden a hundred billion bots on these on these networks, like what does that look like? And how do you possibly hope to control that? I don't know if you can. I really don't. I mean, I hope we can, but this is definitely uncharted territory. So another big story that's going on this week that we definitely shouldn't miss this, you know, speaking about today is that NVIDIA had this$100 billion investment in OpenAI. And it's seeming like it's pulling back here. This is from the Wall Street Journal. NVIDIA's plan to invest up to$100 billion in OpenAI has dulled after some inside the chip giant expressed doubts about the deal.

25:37The companies unveiled the giant agreement last September at NVIDIA's Santa Clara, California headquarters. They announced a memorandum of understanding for NVIDIA to build at least 10 gigawatts of computing power for OpenAI and to invest up to$100 billion to help OpenAI pay for it. But in recent months, NVIDIA CEO Jensen Wang has privately emphasized to industry associates that the original$100 billion agreement was non-binding and not finalized. He also privately criticized what he described as a lack of discipline in OpenAI's business approach and expressed concerns about the competition it faces from the likes of Google and Anthropic.

26:15Much of the recent concern about OpenAI has come from the success of Google's Gemini app. Anthropic is also putting pressure on OpenAI thanks to its popular AI coding agent. You had a very interesting take on this, MG. What do you think about the fact that this deal is not evaporating, but certainly much smaller scale than it seemed like at the outset? To me, the more interesting element of this is almost like the meta layer above it, which is the way that NVIDIA responded to it, which is that Jensen Wong is trying to basically say that it's no big deal. And it's literally a big deal. It was a deal that they touted, that OpenAI touted.

Read the full transcript

26:58They did a live interview on CNBC talking about the$100 billion. And yes, it was always sort of just soft circled or earmarked. Like in my original sort of writing on that topic, I noted like how weirdly squishy the overall sort of wording was at the time that they announced it because they kept saying it was up to$100 billion and that it was, you know, coming down the line. And, you know, at the time, it was all chalked up to the fact that it seemed like Jensen and Sam Altman basically hashed this out over perhaps a weekend trip with Trump somewhere, you know, overseas. And sort of they figured out like, oh, we're going to announce this big deal and let's do it right now, rather than having all the, you know, I's dotted and T's crossed.

27:43And so they just put it out there. still they did a they both did press releases around it they did this live interview and no one was like the whole point of it was to tout the 100 billion number like so they could say like oh it was never meant to be you know it wasn't for sure ever going to be that big that's what they were touting and now again they're they're coming out and saying like look we never had it fully you know agreed upon and uh it was always sort of a a moving target and and it's no big deal like the fact that we're changing it. It's a big deal. It seems like something changed, obviously, in the intervening months.

28:17There kept being these reports that noted that it wasn't, you know, the deal still wasn't finalized, right? And that seems sort of weird. And then fast forward again to the reporting last week, where it's basically like, yeah, actually, with OpenAI doing their new fundraise, it's more likely that NVIDIA is just going to be a part of that fundraise. But even that's weird, because why would NVIDIA want to take a worse deal at this new, much higher valuation when they agreed upon the deal still at when Open Ad was technically still at the old valuation, right? Like they apparently were going to do it in these tranches.

28:50And at least the first one presumably would have been done in, you know, a much better, a much better valuation. Now you could say Jensen doesn't care about that. It's not for the financial returns, but you still have a fiduciary duty to like, you know, take a better deal, a much better deal. And so there's all sorts of weird flags around this. And again, their response to it, sort of like the response when, you know, when Google's TPU stories hit and, you know, Jensen's like downplaying that. It's like, oh, it's no big deal. Don't worry. I'm not upset about that. It's like there's something obviously more going on behind the scenes here.

29:24And I sort of threw out a few ideas of like what it could be. Are they, was Jensen really mad about when shortly after they announced this deal, Sam Altman announced the deal with AMD, right? and that seemed like it annoyed Jensen at the time because he gave a comment that was like, yeah, it was sort of surprising. Like, I don't know why either side would want to do something like that. And, huh, okay. And then, you know, subsequently, there've been, you know, a few other things, obviously, that OpenAI has gone down, including, you know, potentially what's been going on with all their other cloud deals and whatnot and, you know, and chip deals.

30:03And so is that what's at play here? And it's unknown right now because Jensen keeps again saying that it's no big deal. Right. I mean, Jensen was in, I think, Taiwan over the past couple of days and was talking about how this was going to be a very big investment, one of the biggest investments ever, which is true. The largest investment we've ever made, he says. And then somebody asked him, well, what about the hundred billion? And he said something astonishing. He said, no, no, nothing like that. so yeah exactly is that money off the table it's no no nothing like that like like that's absurd even though they announced that like they were on again john fort's doing a live interview with with greg brockman i watched the thing sam altman and jensen and he talks to them about the hundred billion dollars and they're like you know touting like oh this is an incredible um an incredible agreement between two great companies like this is going to be you know push the future forward and and accelerate everything.

31:00And it was all predicated around that huge number. They're getting into the technical weeds of whether or not it was all going to come in all at once. And again, they never said that it was going to come in all at once, but now they're saying that it's never going to be$100 billion. And it's weird to not acknowledge that that was the reality and pretend again, like this is sort of gaslighting. It's like, yeah, that was not... What are you talking about? Come on,$100 billion? We're not doing that. No one's going to do that. It's like, just go read the press release that you put out there. You said you were going to do that.

31:33And, okay, of course, there's, like, the, again, notion, like, is sort of open AI more to blame for it? Like, Sam wanted to get the big number out there and, you know, tout it, especially because it was done, you know, maybe hashed out alongside President Trump. And, you know, that he likes the big numbers and let's put these out there and get everyone excited. But it also, like, really, you know, was big news for the stock market, right, as well. and now today, you know, it sounds like NVIDIA's dropping because it sounds like the stock market's like, well, what happened to that deal that you said was going to get done?

32:06And if OpenAI were a public company, I would not want to be their stock right now today, but they're not. Instead, they're raising it, you know,$100 billion plus. And yes, you hit upon like the idea, the other way that they're downplaying this is like, look, it's still, and Jetson very specifically said, is probably their biggest investment ever. So it may or may not be, might be up to$100 billion. may or may not be. So it's probably their biggest investment ever. And yes, so that's still obviously a big deal. But there's talk that Amazon's going to do$50 billion in the round and SoftBank's going to do more.

32:38It's like, you know, this was going to be one of the biggest deals, maybe the biggest single, you know, amount ever put in from one company to another. And now all of a sudden it's not. And they're just sort of saying like, yeah, sorry, we didn't really mean that one. If I recall correctly, they also had a moment where they were touting about how it wasn't really done with bankers and it was just hashed out mano a mano. Might have been a sign that something was going wrong there. Maybe you want to get these deals a little bit more locked in before you announce them, I guess, in the future. Or in Jensen's favor, he could back out of it.

33:13Exactly, yeah. And that's what I wrote at the time, basically saying, look, let's not get ahead of ourselves here. There's a lot of wiggle room in this and there's ways that NVIDIA I certainly might not end up doing the full$100 billion because it was tied to specific milestones, it sounded like, at least verbally, that that's what they agreed upon. I think there's one other key element that sort of I, for whatever reason, hone in on, which I think is interesting and potentially at play here, which is that to me, when I first was reading about the deal, It seemed like a big part of it was basically OpenAI leveraging the relationship with NVIDIA and using the fact that NVIDIA is the most valuable company on Earth to basically be able to use that partnership.

34:01And there was subsequently reporting on this fact that they would use that partnership to be able to be able to raise debt, basically, in order to fund a lot of the infrastructure build out that OpenAI had wanted to do. And that's because OpenAI still is not a public company, let alone not a profitable company, was having a harder time raising the levels of debt that, say, an NVIDIA could. NVIDIA can basically raise whatever it wants because, again, they have the stock to back it up. They have all these assets to back it up. And they have the profits to back it up. OpenAI is not in that place, but they still wanted to be in charge of their own buildouts.

34:34And so how do you do that? You partner with someone on it. And they've obviously been partnering with Oracle and many others around those lines. But like, to me, that seemed like what a big part of this deal was. Basically, NVIDIA stepping in to be a, you know, a guarantor of the debt that OpenAI would need to raise. And what happens to that now? Is that off the table? Or do they decide maybe they don't need them for whatever reason anymore? Maybe this new funding, you know, helps with that. But I don't know. That's a weird part. That's fascinating. And that could be a big problem for OpenAI should that materialize.

35:04I don't think enough people are talking about that. One last bit on this. And this is a story that you had also written. We talked a bit on Friday about how Anthropic is now raising$20 billion and OpenAI is raising$100 billion. And the funding sources are sort of mixing and matching from places that you wouldn't think would typically be the source of funding for the specific companies. For instance, Microsoft putting money into Anthropic after being OpenAI's biggest backer and Amazon maybe putting$50 billion into OpenAI after being Anthropic's biggest backer. And I think the way that you frame this is really interesting, that there is effectively an anti-Google alliance forming out there.

35:46Whereas all these companies, the funders, the big tech funders, the VCs, and the labs, be it Anthropik or OpenAI, now realize they're in for the fight of their lives against Google. And they're just going to do whatever they can. And does, you know, old rivalries maybe go aside, they'll do whatever they can in order to be able to build some counterweight to the emerging force that Google is. Yeah, that's that's sort of, again, my high level read of it. And we had talked previously, you know, in previous conversations about Google's ascension, you know, after being sort of kicked kicked around and and, you know, being beaten down a bit as to why they weren't sort of meeting the moment.

36:27And now towards the end of last year, when they sort of, you know, when Gemini 3 rode in and even nanobanana and everything, right, it basically awoke in the beast. And now all of a sudden there was a code red from OpenAI. And, you know, everyone's sort of eyes are wide open to this realization that Google has everything they need to potentially, you know, take over this race. And I do think that a lot of their peer group in big tech probably recognizes the same thing. And I think the Microsofts of the world, the Amazons of the world, and the Metas of the world too, Meta's a little bit different of a story, which we can talk about separately, because they're not one of these ones that's funding these other companies.

37:08But I think these other major cloud players, at least the ones who have the rival clouds, specifically Microsoft and Amazon, realize that, yeah, they probably need to align around basically anyone who's not Google. Right. They don't they don't necessarily care if I mean, they do care. Obviously, they would hope that it's their their stuff that takes off and sort of wins the day. But at the end of the day, they can also be a huge shareholder in Anthropic, you know, and I think they'd be happy about that. They can maybe, you know, be a shareholder in even XAI and they can be happy about that as long as it's not Google, their chief sort of competitor and the one company that has all the pieces in place to take this over.

37:48Now, obviously, Google itself is a big stake in Anthropic, but that sort of predates, you know, this situation that we're in right now. And so, yeah, to me, the big eye opener was that Amazon 50 billion report. if they end up really investing$50 billion, you know, into open AI after being, they are the largest shareholder of Anthropic, you know, I was trying to think like, does that mean something that they're negative in some ways against Anthropic? I don't think that's it. I just think that they want to make sure that they are in a place where they can, you know, pick and choose what they want as long as it's anyone but Google.

38:25That's right. No, it's a great insight. And now it sort of explains this thing that I've been struggling with, which was like, why is this funding cross pollination pollination happening? And I think that's about as good of an explanation as any that I've heard. All right. OpenAI is eyeing an IPO. We have a date now that has been reported in the Wall Street Journal. We'll talk about when that is and why that is when we're back right after this. You want to eat better, but you have zero time and zero energy to make it happen. Factor doesn't ask you to meal prep or follow recipes. It just removes the entire problem.

39:00Two minutes, real food, done. Remember that time where you wanted to cook healthy but just ran out of time to do it? You're not failing at healthy eating. You're failing at having an extra three hours. Factor is already made by chefs, designed by dieticians, and delivered to your door. You heat it for two minutes and eat. Inside, there are lean proteins, colorful vegetables, whole food ingredients, healthy fats, the stuff you'd make if you had the time. There's also a new Muscle Pro Collection for strength and recovery. You always get to eat fresh. It's ready in two minutes. No prep, no cleanup, no mental load.

39:33Head to factormeals.com slash bigtech50off and use code bigtech50off to get 50 % off your first Factor box plus free breakfast for one year. Offer only valid for new Factor customers with code and qualifying auto renewing subscription purchase. Make healthier eating easy with Factor.

40:20And we're back here on Big Technology Podcast with M.G. Siegler. M.G. writes at spyglass.org. Highly recommend it. It's definitely a great place to go for all insights on AI and big tech. And M.G., of course, if you're new to the show, is here with us on the first Monday of every month. And given that it's Monday, February 2nd, we're here talking and we have some big stuff to talk about. We'll talk in this segment about OpenAI's planned IPO and why Apple earnings, despite being amazing, don't seem to be able to buy the company any credit with Wall Street. Let's talk about the IPO first. I thought personally there was no way OpenAI would try to go public in 2026.

40:59Obviously, Sam Altman made that comment to me when I spoke with him late last year, that he would hate being a public company CEO, something along those lines. And now I'm looking in the Wall Street Journal has this story. OpenAI plans fourth quarter IPO in a race to beat Anthropik to market. OpenAI is laying the groundwork for a public listing in the fourth quarter of this year, accelerating its plans as competition with rival Anthropic intensifies the$500 billion startup, is holding informal talks with Wall Street banks about a potential initial public offering, and is growing its finance team.

41:32OpenAI executives have privately expressed concerns about Anthropic beating the company to an IPO. On Friday, we had Stephen Morris, the San Francisco Bureau Chief of the Financial Times on. And we were talking about like, when you think about these numbers, the question is, where is the money going to come from? Is there enough money? Let's say OpenAI were to go public at like one and a half trillion dollars. Is there enough money on, you know, out there to fund an IPO like that? Especially if let's say an Anthropic comes out a month before, and then you're looking at, you know, the traditional, you know, IPO share buyers, just like having to decide.

42:09And then the amount of money that's available comes down. So I'm curious what you think. Is this a response to that? And just to them saying, well, there's a limited money out there. We better go get it. If so, maybe that's a smart move. Yeah. I wrote about this a little bit at the end of last year, around the time that, yeah, the rumors started that Anthropic was thinking about, you know, potentially going public in 2026. Because to me, it's sort of like that is the ultimate open AI squeeze. Because, right, we already talked about the fact that Google is sort of, you know, has woken up and they're sort of squeezing from the top, one of the biggest companies in the world.

42:42They're going after many different elements of what OpenAI's, you know, historic strong points have been in AI. Meanwhile, you've got Anthropic, which was always thought to be sort of the smaller player right across the board, maybe going more after enterprise, more focused on that. But ultimately, if they're both going to go public, you know, there's a sort of first mover advantage for sure, you would imagine, because you would hope that there's pent up demand or they would hope that there's pent up demand in the market for various AI bets. And the first one to go out there is probably going to have a better of a time, perhaps, especially if that first one to go out has better looking economics, or at least the path to better looking economics than the other one does.

43:30And that again, points to the notion at the time from at the end of last year that Anthropic was said to be, you know, maybe a couple of years ahead of OpenAI when it came to being able to turn a profit. And so again, if Anthropic were to go out and go public ahead of OpenAI and they have this direct path to profitability that's much quicker than what OpenAI can get to, that puts OpenAI in a very, very tricky spot when they were to go public as well. And, you know, they would really have to rely on the bigger picture, bigger growth narrative. And, you know, that's becoming workier by the day, right?

44:07With all this stuff going on with not only Claude Code, but now Claude Cowork, and, you know, all these other things that are going on at the moment in AI. I do believe that there's, you know, that that seems like it would be a natural outcome of this would be, yeah, OpenAI trying to race to beat Anthropic. There's one other element to this, which is even more sort of in the news in the past few days, which is XAI. if they really do merge with SpaceX, which it does sound like now is going to happen and may even be announced this week, which is insane how fast that that came together if it comes together in that way.

44:45That's sort of an interesting end run around by Elon to all of a sudden have potentially an AI play rather than just the space play to go public in, you know, as rumored in June or maybe July of this year, so well ahead of when there's no way that that Anthropic or OpenAI can meet that timetable right now. I think SpaceX is way ahead of them in terms of where they are in the process. And so what if Elon does the ultimate end run around and gets XAI out before either of these companies and becomes the ultimate first mover AI play? I mean, he would love to hold that over Sam, wouldn't he? Oh, of course.

45:23That's part of the that's part of the strategy that has to be part of the strategy here for sure for sure unbelievable i for the for the record i do not think open ai is going to go out 2026 2027 probably 2026 i don't either i agree i i agree with that you know we talked about my predictions last let's go around that was one of them that i didn't think that any of the major uh ai companies would go out in 2026 even though they're all talking about it xai though might just proved me wrong by this merger, I guess. But yes, in terms of OpenAI and Anthropic, I just think that beyond where their businesses are at and with these now massive fundraisers, as we're talking about, I think that it will push it out a little bit.

46:07And the real wildcard is obviously, as it always is, the macro story, right? Like what ends up happening? There could be so many things that sidetrack or at least delay any sort of rush. But again, if it really is a full on sprint for open AI to get out ahead of Anthropic. There's a window which they do that, but I think it's still probably a 2027 thing. Yeah, agreed. Okay, one last story before we go. Apple turned in, I think, the best earnings report in its history. It brought in$143 billion in revenue over$138. Estimated iPhone revenue was$85.27 billion, beating the estimate by$6 billion. The estimate was$78 billion.

46:50That's 23 % growth in the iPhone category year over year, which is insane. Remember, they were struggling to grow iPhone for a while. They also beat on profitability. Yet, Wall Street did not seem impressed. The stock is up a tiny bit, but mostly flat since the earnings announcement. What does Apple need to do to get that story turned around? It's been flat for six weeks or so. I think this is, again, this is going to be the best year in Apple history. But of course, the AI story is something that is not really working in its favor. Yeah, so there's a few things there. First and foremost, I do think that some of that apprehension about Apple is related to just what's going on with memory chips and everything, right?

47:36And that it could ultimately end up squeezing their margins. The margins were incredible this quarter, which was sort of a surprise to many given everything going on. But it does seem like Apple's sort of been savvy in terms of like potentially hoarding memory chips, which is not something that Tim Cook usually likes to do. He likes to get this inventory as streamlined as possible. But we're in a weird sort of macro environment for this. And that's in no small part because of the AI revolution that's happening, right, and is changing all of those equations. And so I do think the broader picture, though, yes, is that the market sees what Apple is doing with Google and they applauded it right when it was first announced that like, oh, it's like, oh, they're teaming up with one of the leaders in AI, if not the leader in AI now in Google.

48:23and Gemini will finally fix Siri and we're going to have a great situation for Apple. But I do think like ultimately they might be looking at this as like, well, look, we have Meta over here that's spending$130 billion in CapEx, whereas Apple is spending much closer to zero. It's something around like, it's like$18 or$20 billion in CapEx because they're not building out, obviously, the massive infrastructure in order to bake their own cutting edge AI. And so, you know, I think that there's a little bit, maybe a lot of apprehension that while Apple may be fine in sort of the shorter term for the longer term, if they are not one of the key players in the AI space, and if you believe AI is going to revolutionize everything, including hardware businesses, potentially, like, then Apple's in a tough spot.

49:13Now, Apple would counter that, look, this is the short-term stuff. We're doing this partnership short-term. We're going to fix Siri, and we're going to continue to work on it behind the scenes to eventually roll our own AI. But again, the cap back spend that they're showing right now is so small relative to not just Meta, but Google and Amazon and Microsoft and everyone else, that it feels like there's a world in which they're behind right now and that they can never catch up. And that would be obviously the real fear. Now, I do think you're right. Like, and we've talked about this previously.

49:47Like, I do think this will be a good year overall for Apple because I think it's no small part because like we've talked about before, the iPhone Fold and some of these other devices that they have coming out, I think will end up doing well for them. But again, the bigger picture, the longer term time horizon stuff is AI. And right now they're just they're showing no real energy around being that they need to have a sense of urgency around it other than cutting deals, which is just not typically what Apple does, whereas they want to own everything in house. Yeah, I was on CNBC last week right before Apple earnings, and I kind of stuck my neck out for the company, which I don't typically do.

50:26But I was basically like, here's where the bull case for Apple sits. They are going to sell the latest model and probably the next model like crazy through the year. Meanwhile, there's no killer AI app or device yet that is threatening to disrupt their core business. If you think about it, we may get some AI devices this year. my prediction is they're just gonna they they will be underwhelming they won't be a threat to smartphone growth yet two three years four years five years from now definitely but at least in the short term uh it's going to look really good for apple because the sort of immediate threat to them from ai is not materializing the intermediate threat uh is still there but maybe the market doesn't care about it maybe they're more long-term focused and not quarter by quarter like we like to dig them for.

51:16Yeah. And I mean, the one thing that I agree with right now is that there is a path in which Apple looks very smart in, say, a year or two years from now in not having spent all of this capex to do these massive build outs, right? If the model's fully commoditized and all that, you know, that they're just sitting there and they can sort of pick and choose what they want to use and also pick and choose which path they want to go down. Again, though, I go back to the idea that like, they're just not doing the other stuff behind the scenes in order to be able to eventually sort of, you know, take over their own control of these AI models.

51:50Like they just don't have the infrastructure in place. There's talk that they're building out data centers, that they're building out their own chips to be able to train these, but the spend isn't there relative to their peers where it would seem like they're really taking this seriously. Now, again, maybe there's a world in which like LLMs sort of end up being not the be-all, end-all path, and there needs to be other mechanisms and other methods of doing AI. And so maybe Apple can sort of come in at that point and sort of catch up. But everything we're seeing right now is that that's not the case and that they'll need to, at some point, spend a lot more money than they are if they really want to have their own sort of AI that's built in-house.

52:32Yeah, it definitely does seem that somewhere inside that company, there was a decision made, maybe from the very top that was like, let's sit this out for now and just figure it out afterwards. Like you said, that might turn out to be a good decision. On the other end, very risky. Very risky. Yeah. And it's not like the alternative is Apple has so much cash. They finally made an AI acquisition, as you and I have long talked about. Not perplexity. But it wasn't for a, no, it wasn't perplexity and it wasn't for a frontier model company. It was for interesting technology. DisclosureGV was an investor in, so it sounds where I previously was a partner for a long time.

53:12So I think that that's probably a savvy play, but it's a$2 billion investment that's reported. And they have, as you noted, they're doing record profits right now. What are they spending that money on? They're spending that money on buybacks, and they're spending that money on things that are not moving the ball forward with regard to AI, except in very small ways. And so, you know, I don't know what the what the counter argument is. I'm not saying that they have to spend 100 billion dollars in CapEx, but I'm saying maybe they should spend 50 billion dollars if their peer group is spending 150 billion dollars on CapEx a year.

53:50Maybe it's it's at least worth it to do something that's, you know, just in case scenario. right i agree you gotta you gotta at least start spending a little bit because even if you have conviction that ai will be a you know maybe not as revolutionary as people imagine you have to hedge a little bit because of i mean what we're seeing right now all the ais hanging out together in mold books warming and plotting out to overthrow humanity so you know tim cook come on throw throw a little more skin in the game geez yeah yeah that i i want to go into a chat room and see Tim Cook's molt bot there and chatting away with other Apple executives.

54:30Oh, my God. And somebody using that exploit to take over their computer. That'll be a story. All right. The website is spyglass.org. Our guest, M.G. Siegler, joins us the first Monday of every month. It's always great to speak with you, M.G. Thanks for coming on. Thanks as always, Alex. Talk soon. All right. Looking forward to doing this again next month, folks. On Wednesday, Joel Pino, the Chief AI Officer of Cohere, will be here with us to talk about the latest in AI research and where the cutting edge is heading. So we hope you tune in for that. Hopefully the AI bots won't take over the world between now and then.

55:04So if humanity remains in charge, we'll see you next time on Big Technology Podcast.

From the publisher

M.G. Siegler of Spyglass is back for our monthly tech news discussion. M.G. joins us to discuss Moltbook, the new Reddit-style social network where 150,000 AI agents are chatting, upvoting, and even proposing their own private language to keep humans out. Tune in to hear whether this is a preview of the singularity or just elaborate role-play—and why the security vulnerabilities are genuinely concerning. We also cover NVIDIA quietly backing away from its $100 billion OpenAI deal, Apple's record quarter that Wall Street shrugged off, and OpenAI's race to IPO before Anthropic (with Elon potentially beating them both). Hit play for a conversation about where AI is heading and what it means when the bots start talking to each other.

Learn more about your ad choices. Visit megaphone.fm/adchoices

More from Big Technology Podcast

All 399 episodes
The Moltbook Uprising, NVIDIA’s OpenAI Pullback, Apple’s ConundrumBig Technology Podcast · 55 min
Listen in VO