Court Battle Royale: The Trial That Could Reshape AI

Sam Hinton: I was grabbing coffee this morning when my phone lit up with breaking news alerts, and I just stood there in the middle of the coffee shop staring at this headline about Elon Musk and Sam Altman literally facing off in court. Like, we’re talking about a full-blown trial that could determine the future of OpenAI and ChatGPT.

Alex Shannon: Dude, I had the exact same moment! I was reading through the court documents and depositions, and it hit me - this isn’t just some corporate dispute. This is like watching the founding fathers of AI duke it out over the direction of the entire industry.

Sam Hinton: Right? And then you dive into Mira Murati’s deposition about Altman’s ouster last year, and suddenly all these pieces start falling into place. The drama, the power plays, the behind-the-scenes chaos.

Alex Shannon: It’s wild because while they’re fighting in court, both sides are making massive moves. Musk’s dropping $55 billion on AI chips, OpenAI’s launching voice intelligence features. It’s like they’re weaponizing innovation.

Sam Hinton: And that’s just the beginning. We’ve got Chinese companies raising billions, Apple putting cameras in earbuds, and safety features that actually show these companies are thinking about the human impact of their technology.

Alex Shannon: Honestly, I’ve been covering tech for years, and I’ve never seen this level of simultaneous drama and innovation. It’s like the entire future of artificial intelligence is being decided in real time.

Alex Shannon: You’re listening to Build By AI, I’m Alex Shannon, and what we just described is literally happening right now in courtrooms and boardrooms across Silicon Valley.

Sam Hinton: And I’m Sam Hinton. Today we’re diving deep into this unprecedented court battle, plus some absolutely massive funding rounds, product launches that could change how we interact with AI, and honestly, some moves that nobody saw coming.

Alex Shannon: We’ve got Chinese AI companies hitting $20 billion valuations, Apple apparently putting cameras in AirPods, and OpenAI rolling out safety features that are surprisingly thoughtful.

Sam Hinton: It’s May 8th, 2026, and the AI industry is having its most dramatic moment yet. Let’s get into it.

Live updates from Elon Musk and Sam Altman’s court battle over the future of OpenAI

Alex Shannon: Alright, let’s start with the big one. Elon Musk and Sam Altman are literally in court right now, and this isn’t some minor contract dispute. We’re talking about a high-stakes trial that could fundamentally alter the future direction of OpenAI and ChatGPT. The two biggest names in AI development are going head-to-head in what might be the most consequential tech litigation we’ve seen.

Sam Hinton: This is absolutely massive, and here’s why - this isn’t just about money or control of a company. This is about the philosophical direction of artificial intelligence. Musk co-founded OpenAI back when it was supposed to be this open, nonprofit organization focused on benefiting humanity. Now it’s worth over $100 billion and tightly controlled.

Alex Shannon: So what’s Musk’s actual argument here? Is he saying OpenAI betrayed its original mission, or is this more about him being cut out of the success?

Sam Hinton: That’s the million-dollar question, right? On one hand, you can argue that OpenAI did completely pivot from its original open-source, humanity-first mission. They’re now this for-profit powerhouse with exclusive partnerships and closed models. But on the other hand, Musk left the board years ago and then built his own competing AI company with xAI. So there’s definitely some sour grapes here.

Alex Shannon: But here’s what I find fascinating - both sides are using this trial as a platform to make their case about what AI should look like. Musk is positioning himself as the champion of open AI development, while Altman’s team is arguing that responsible AI development requires careful control and significant resources.

Sam Hinton: Exactly, and that’s what makes this so much bigger than a typical corporate lawsuit. The outcome could set precedents for how AI companies can evolve, what obligations they have to early investors and co-founders, and whether there’s any legal teeth to mission statements about benefiting humanity.

Alex Shannon: What’s your take on how this plays out? Because both of these guys have massive egos and essentially unlimited resources to fight this.

Sam Hinton: I think this drags on for months, maybe years. But the real impact isn’t the final verdict - it’s how this public battle shapes public perception of AI development. People are going to be watching very carefully to see who they trust more with the future of artificial intelligence. And that could influence everything from regulatory decisions to talent recruitment.

Alex Shannon: You know what’s crazy? While they’re fighting about the past, they’re also racing to control the future. Musk’s building chip factories, Altman’s launching new features. It’s like they’re fighting and innovating simultaneously.

Sam Hinton: That’s actually a brilliant point. This lawsuit might be about settling old scores, but both sides know that whoever delivers the most compelling AI products and services will ultimately win in the marketplace, regardless of what happens in court.

Alex Shannon: And think about the timing - this is happening right as AI is becoming mainstream. Regular people are starting to use these tools daily. So this very public fight is happening right when public trust in AI companies is most important.

Sam Hinton: Exactly. And that’s why I think both sides are being so careful about their public messaging. They’re not just arguing to a judge - they’re making their case to consumers, developers, investors, and regulators all at the same time.

Alex Shannon: The discovery process alone is going to be incredible. We’re going to see internal emails, strategic documents, maybe even recordings of board meetings. The level of transparency we’ll get into how these AI companies actually operate will be unprecedented.

Sam Hinton: And that transparency might be the most valuable outcome, regardless of who wins. The AI industry has been incredibly opaque about how decisions get made, especially around safety and development priorities. This trial could force a level of openness that we’ve never seen before.

Alex Shannon: Keep an eye on this because whatever comes out in these depositions and court filings is going to give us unprecedented insight into how these AI companies actually operate behind closed doors. The transparency alone could change the industry.

Mira Murati’s deposition pulled back the curtain on Sam Altman’s ouster

Alex Shannon: Speaking of depositions pulling back the curtain, we’re getting incredible details about Sam Altman’s dramatic ouster from OpenAI back in November 2023. Mira Murati’s deposition revealed that Altman was removed because he was quote ‘not consistently candid in his communications’ with the board. This was described as the AI industry’s biggest soap opera moment, and now we’re finally getting the real story.

Sam Hinton: OK, so this is huge because at the time, nobody really knew what happened. Altman got fired on a Friday, there was this massive employee revolt, and then he was back by Monday. It was absolute chaos. But ‘not consistently candid’ - that’s corporate speak for lying or at least serious deception.

Alex Shannon: Right, and Murati would know. She was briefly CEO during that whole mess. But what could Altman have been misleading the board about that was serious enough to fire the CEO of the hottest AI company in the world?

Sam Hinton: That’s what’s so fascinating about this deposition. It suggests there were ongoing communication issues, not just one incident. Maybe it was about the pace of development, safety protocols, the Microsoft partnership, or even internal power struggles. The fact that the board felt they couldn’t trust their own CEO is pretty damning.

Alex Shannon: But here’s what I don’t understand - if Altman really wasn’t being honest with the board, how did he manage to come back so quickly and essentially win? The entire leadership team threatened to quit, Microsoft backed him, and suddenly the board members who fired him were the ones getting replaced.

Sam Hinton: That’s the power of controlling the narrative and having the right allies. Altman had the employees, the investors, and Microsoft on his side. The board may have been technically right about communication issues, but they completely misread the political situation. It’s like trying to fire a popular king - you better make sure you have the army with you.

Alex Shannon: And now this is all coming out in court proceedings where Altman’s credibility is directly at issue. This has got to be incredibly uncomfortable for everyone involved.

Sam Hinton: Absolutely, and it raises serious questions about corporate governance in AI companies. If a CEO can be fired for not being honest with the board and then essentially stage a coup to get reinstated, what does that say about oversight and accountability? Especially for companies developing technology this powerful.

Alex Shannon: The timing is incredible too - this deposition is happening right in the middle of the Musk lawsuit. It’s like OpenAI’s dirty laundry is being aired in the most public way possible, right when they need to look like responsible stewards of AI technology.

Sam Hinton: You know what strikes me? This whole saga shows how much personality and ego drive these AI companies. We like to think it’s all about the technology and the mission, but it’s really about very human power struggles and communication failures.

Alex Shannon: That’s such a good point. The AI industry markets itself as being about transcending human limitations, but it’s run by humans with all the usual human flaws. Trust issues, communication problems, power struggles - it’s all very mundane drama wrapped in world-changing technology.

Sam Hinton: And that should worry people, right? If the leaders of these AI companies can’t communicate honestly with each other, how are we supposed to trust them with developing artificial general intelligence? The stakes are too high for this kind of corporate drama.

Alex Shannon: Although, to be fair, maybe it’s better that we’re seeing this now rather than after these companies become even more powerful. At least we know what we’re dealing with - brilliant but flawed humans trying to build godlike technology.

Sam Hinton: True, and Murati’s willingness to testify honestly about what happened shows that there are people in these companies who prioritize transparency over loyalty to leadership. That’s actually encouraging.

Alex Shannon: The broader question is whether this level of dysfunction is unique to OpenAI or if it’s endemic to the AI industry. Because if every major AI company has these kinds of internal power struggles and communication breakdowns, that’s a systemic problem.

SpaceX has a $55 billion plan to build AI chips in Texas

Alex Shannon: Let’s shift gears to something that honestly caught me completely off guard. While Musk is fighting OpenAI in court, SpaceX - his space company - just announced a $55 billion plan to manufacture AI chips in Texas. This is Musk essentially declaring war on the entire AI chip industry and putting his money where his mouth is in the most extreme way possible.

Sam Hinton: Dude, $55 billion! That’s not just entering the AI chip business, that’s basically trying to build a parallel universe of chip manufacturing. For context, that’s more than the GDP of most countries. And this is coming from a company that builds rockets, not semiconductors.

Alex Shannon: So what’s the strategy here? Is this about vertical integration for his AI company xAI, or is Musk trying to compete directly with NVIDIA and other chip makers?

Sam Hinton: I think it’s both, honestly. Musk has always been obsessed with controlling the entire supply chain - look at Tesla with batteries and solar panels. But more importantly, AI chips are becoming the new oil. If you control chip production, you control who gets access to advanced AI capabilities. That’s incredible power.

Alex Shannon: But hold on, building chip fabrication facilities is incredibly complex. TSMC and Samsung have decades of experience and institutional knowledge. Can SpaceX really just decide to become a chip manufacturer and expect to compete?

Sam Hinton: That’s exactly what I was thinking. But then again, people said the same thing when Musk decided to build electric cars and rockets. The guy has a track record of entering impossible industries and somehow making it work. Plus, $55 billion buys you a lot of talent and equipment.

Alex Shannon: The Texas location is interesting too. That’s becoming a real hub for tech manufacturing, and there are probably significant tax incentives. But more importantly, it puts Musk’s chip operation right in the heart of America, which could be crucial for government contracts and national security applications.

Sam Hinton: Exactly, and think about the timing. This announcement comes right as the US is trying to reduce dependence on overseas chip manufacturing and right as AI compute demand is absolutely exploding. Musk could position himself as the patriotic solution to America’s chip supply problem.

Alex Shannon: If this actually works, it completely changes the power dynamics in AI. Instead of everyone fighting over limited NVIDIA GPUs, Musk could have his own dedicated supply of cutting-edge AI chips. That’s a massive competitive advantage for xAI and potentially a huge revenue stream selling to others.

Sam Hinton: But let’s talk about the risks here. Chip manufacturing is notoriously difficult to get right, and the technology cycles are incredibly fast. What happens if Musk spends $55 billion building fabs that are obsolete by the time they come online?

Alex Shannon: That’s a great point. The AI chip landscape is evolving so rapidly that what’s cutting-edge today might be yesterday’s news in three years. But maybe that’s why Musk is making such a massive bet - he’s trying to build enough capacity to iterate quickly and stay ahead of the curve.

Sam Hinton: And there’s the workforce question too. Texas has a lot of tech talent, but chip manufacturing requires incredibly specialized skills. Musk will need to either poach talent from existing chip companies or build a massive training program from scratch.

Alex Shannon: Although knowing Musk, he’ll probably do both. Tesla and SpaceX have shown they can attract top talent by offering equity and a compelling mission. Framing this as building the infrastructure for American AI dominance could be a powerful recruiting message.

Sam Hinton: I’m also curious about the timeline. Chip fabs typically take years to build and more years to ramp up production. This feels like a 5-10 year play, which means Musk is betting that AI chip demand will continue growing exponentially for the next decade.

Alex Shannon: And that’s probably a safe bet, right? AI is still in its infancy, and we’re already seeing massive compute requirements. As models get more sophisticated and AI becomes more prevalent, the demand for specialized chips is only going to increase.

Sam Hinton: The geopolitical angle is fascinating too. If Musk can build a domestic supply of advanced AI chips, that reduces American dependence on Taiwan and other regions that might become inaccessible during conflicts. It’s tech strategy and national security strategy rolled into one.

Alex Shannon: Keep watching this because chip manufacturing is a long game. It’ll be years before we see actual products, but the mere announcement sends a signal to the entire industry. Musk isn’t just fighting OpenAI in court - he’s building the infrastructure to make his vision of AI development a reality.

OpenAI launches new voice intelligence features in its API

Alex Shannon: While all this drama is happening, OpenAI just quietly launched something that could be way more important for regular users - new voice intelligence features in their API. We’re talking about capabilities that span customer service, education, and creator platforms. This is OpenAI moving beyond just text-based chat into full voice interaction.

Sam Hinton: This is actually huge, and I think people are sleeping on it because everyone’s focused on the courtroom drama. Voice is the next frontier for AI interfaces. Think about it - most people would rather talk than type, especially for complex requests or when they’re multitasking.

Alex Shannon: So what can developers actually do with these new voice features? Are we talking about basic speech-to-text, or is this more sophisticated?

Sam Hinton: Based on what they’re saying about applications in customer service and education, this has to be much more than simple transcription. We’re probably looking at real-time conversation, emotional recognition, maybe even voice cloning capabilities. The fact that they’re targeting creator platforms suggests content generation tools.

Alex Shannon: The customer service angle is really interesting because that’s where businesses could see immediate ROI. Instead of those awful phone trees, you could have AI agents that actually understand context and speak naturally. But I’m also a bit concerned about job displacement.

Sam Hinton: Yeah, that’s the double-edged sword here. Voice AI that actually works well could eliminate millions of call center jobs almost overnight. But it could also create entirely new categories of work - voice AI trainers, conversation designers, things we can’t even imagine yet.

Alex Shannon: What about the education applications? That could be transformative for personalized learning. Imagine AI tutors that can actually have conversations with students, adapt their teaching style, pick up on confusion or frustration in voice patterns.

Sam Hinton: Absolutely, and think about accessibility too. Voice AI could be life-changing for people with visual impairments, mobility issues, or learning disabilities. The ability to have natural conversations with AI systems opens up computing to people who struggle with traditional interfaces.

Alex Shannon: The timing is perfect too because everyone’s getting comfortable talking to their phones and smart speakers. The technology is finally catching up to what people naturally want to do.

Sam Hinton: But I’m curious about the technical challenges here. Real-time voice processing requires massive computational resources and incredibly low latency. How is OpenAI making this work at scale?

Alex Shannon: That’s a great question. They must have made significant improvements to their infrastructure, or maybe they’re using specialized hardware for voice processing. Either way, offering this through an API means they’re confident they can handle the compute load.

Sam Hinton: The creator platform angle is really intriguing too. Are we talking about AI that can generate podcasts, audiobooks, maybe even music? The creative applications for voice AI could be mind-blowing.

Alex Shannon: And probably controversial. If AI can generate human-like speech, how do we handle issues around consent, impersonation, and authenticity? There are going to be some serious ethical considerations around voice cloning and deepfake audio.

Sam Hinton: True, but OpenAI has been pretty thoughtful about safety features lately. Hopefully they’re building in safeguards from the beginning rather than trying to retrofit them later.

Alex Shannon: The competitive implications are huge too. Google, Amazon, and Apple have been working on voice AI for years. OpenAI is essentially saying they can do it better and make it available to any developer through a simple API.

Sam Hinton: This is one to watch closely because voice interaction could be the thing that finally makes AI feel truly mainstream. When your grandparents can have a natural conversation with ChatGPT while cooking dinner, that’s when we’ll know AI has really arrived.

China’s Moonshot AI raises $2B at $20B valuation as demand for open source AI skyrockets

Alex Shannon: Let’s hit some rapid fire news. Early reports suggest China’s Moonshot AI just raised $2 billion at a $20 billion valuation, driven by exploding demand for open source AI. They’re reporting $200 million in annualized revenue.

Sam Hinton: If confirmed, that’s absolutely wild. A $20 billion valuation puts them in the same league as some of the biggest AI companies globally. The open source angle is really smart too - while everyone else is locking down their models, they’re betting on accessibility and developer adoption.

Alex Shannon: The revenue number is what gets me. $200 million ARR means they’ve found a sustainable business model, not just hype. That’s real customer demand.

Sam Hinton: China’s AI scene is heating up big time. While US companies fight in court, Chinese companies are quietly building massive businesses. This could be a real competitive threat.

Alex Shannon: And the funding environment in China seems way more favorable right now. $2 billion in a single round suggests investors are really bullish on Chinese AI companies.

Sam Hinton: The open source strategy is particularly clever. It builds goodwill with developers worldwide while potentially undermining closed-source competitors. If Moonshot can deliver comparable performance for free, why pay for proprietary models?

Alex Shannon: Although we should be cautious about single-source reporting on this. These valuations can be inflated or misreported, especially for private companies. But if it’s accurate, it’s a major milestone.

Sam Hinton: Either way, it shows that the global AI race isn’t just between Silicon Valley companies anymore. China, Europe, and other regions are building serious competitors that could reshape the entire landscape.

Apple’s AirPods with cameras for AI are apparently close to production

Alex Shannon: Speaking of unexpected moves, early reports suggest Apple is close to production on AirPods with built-in cameras designed for AI applications. They’re apparently preparing to test early mass production.

Sam Hinton: Wait, cameras in earbuds? That’s either brilliant or completely creepy, and I can’t decide which. I’m imagining AI that can see what you’re looking at and provide real-time information or assistance.

Alex Shannon: The privacy implications are massive though. Apple would need to nail the trust factor because people are already weird about cameras in their devices.

Sam Hinton: If anyone can pull this off, it’s Apple. They have the privacy reputation and the integration skills. But man, the use cases could be incredible - real-time translation, visual assistance, augmented reality audio.

Alex Shannon: Think about accessibility applications too. AI could describe visual scenes for people with visual impairments, or provide navigation assistance. The potential for helping people is huge.

Sam Hinton: The technical challenges are fascinating. How do you fit cameras, processors, and batteries into something as small as an earbud while maintaining audio quality and battery life?

Alex Shannon: And how do you position the cameras to actually see what the user is looking at? The ergonomics and optics must be incredibly complex.

Sam Hinton: If this is real and it works well, it could be Apple’s entry into the AI hardware race in a completely unexpected way. Instead of smart glasses, they’re putting intelligence in earbuds.

Perplexity’s Personal Computer is now available to everyone on Mac

Alex Shannon: According to early reports, Perplexity just made their Personal Computer AI agent available to all Mac users. This brings AI-powered personal computing capabilities directly to macOS.

Sam Hinton: Perplexity has been really smart about positioning themselves as the research and productivity AI company. Having a native Mac app makes sense - that’s where a lot of knowledge workers and creators live.

Alex Shannon: The ‘Personal Computer’ branding is clever too. It’s like they’re saying this is the next evolution of what a PC can be - not just hardware and software, but intelligence.

Sam Hinton: If the execution is good, this could be a real differentiator. Mac users tend to be willing to pay for quality productivity tools, and AI assistance could be a killer app.

Alex Shannon: I’m curious about the integration depth. Can this AI agent actually control Mac applications, or is it more like an advanced chatbot? The difference would be huge for productivity workflows.

Sam Hinton: Perplexity’s strength has always been research and information synthesis. If they can bring that to desktop computing in a seamless way, it could change how people work with information.

Alex Shannon: The timing is interesting too - launching right as Apple is rumored to be working on AI features for macOS. Perplexity might be trying to establish themselves before Apple builds competing functionality natively.

Sam Hinton: Smart move if that’s the strategy. Get users hooked on AI-powered productivity tools before the platform owner decides to compete directly. It’s the classic third-party developer playbook.

ChatGPT’s ‘Trusted Contact’ will alert loved ones of safety concerns

Alex Shannon: And finally, OpenAI is rolling out an optional ‘Trusted Contact’ safety feature for ChatGPT. Adult users can designate emergency contacts who get alerted about mental health and safety concerns during conversations.

Sam Hinton: This is actually really thoughtful. As AI becomes more of a confidant and therapist for people, having safety nets in place makes total sense. It shows OpenAI is thinking seriously about the psychological impact of their technology.

Alex Shannon: The fact that it’s optional is key. People need to feel like they have control over their privacy, especially for something as sensitive as mental health conversations.

Sam Hinton: This could save lives, honestly. If someone is having a crisis and turns to ChatGPT, having a way to connect them with real human support could make all the difference. It’s AI safety in a very human way.

Alex Shannon: It also shows how AI companies are grappling with the reality that their systems are becoming emotional support tools, whether they intended that or not. Better to acknowledge it and build safeguards.

Sam Hinton: The implementation will be crucial though. How does the AI determine what constitutes a safety concern? How do you balance user privacy with the need to protect people? These are really complex ethical questions.

Alex Shannon: And there’s the question of liability too. If OpenAI knows someone is in crisis and alerts their trusted contact, are they taking on a legal responsibility for that person’s wellbeing?

Sam Hinton: Despite the complexity, I think this is the right direction. AI companies need to acknowledge that their tools have real psychological and social impacts, and build systems to handle that responsibly.

BIGGER PICTURE

Alex Shannon: If you zoom out and look at everything we covered today, there’s this fascinating tension between competition and responsibility. You’ve got Musk and Altman fighting in court over the future of AI, but both sides are also launching new features and making massive investments.

Sam Hinton: Right, and what’s really interesting is how different regions and companies are taking completely different approaches. China’s betting big on open source with Moonshot, Apple’s going for integrated hardware experiences, OpenAI is focusing on safety and voice, Musk is trying to control the entire supply chain.

Alex Shannon: It feels like we’re seeing the AI industry mature in real time. The early days of everyone just trying to build the smartest model are over. Now it’s about sustainable business models, user safety, practical applications, and long-term strategic positioning.

Sam Hinton: The court battle is actually a perfect metaphor for where we are. The foundational questions about what AI should be and who should control it are still being fought, but meanwhile the technology keeps advancing and finding its way into everything from customer service to earbuds.

Alex Shannon: And the speed of innovation is incredible. While Musk and Altman are arguing about decisions made years ago, both their companies are launching new products and capabilities. It’s like they’re refighting the past while racing toward the future.

Sam Hinton: What strikes me is how personal this has all become. We’re not just talking about corporate strategy or technology development - we’re talking about ego, trust, communication failures, personal relationships gone wrong. The human drama is driving the technological revolution.

Alex Shannon: That’s such a good point. And it raises questions about whether the AI industry is too dependent on individual personalities and relationships. What happens when the technology becomes too important to be subject to personal feuds and corporate politics?

Sam Hinton: Maybe that’s why we’re seeing more focus on safety features and responsible development. Companies realize they need to build trust with users, not just impress investors and compete with rivals. The Trusted Contact feature is a perfect example - it’s not about competitive advantage, it’s about doing the right thing.

Alex Shannon: And the global competition aspect is fascinating too. While US companies are fighting each other in court, Chinese companies are quietly building massive businesses and valuations. The real competition might not be between US companies, but between different national approaches to AI development.

Sam Hinton: Exactly. Moonshot’s open source strategy, China’s state support for AI development, versus the US’s more chaotic but innovative private sector approach. We might be witnessing the early stages of AI becoming a geopolitical competition as much as a technological one.

Alex Shannon: What are you watching for in the next few months? Because it feels like we’re at this inflection point where a lot of these big moves either pay off or completely backfire.

Sam Hinton: I’m watching to see who actually executes. Musk’s chip factory, OpenAI’s voice features, Apple’s camera earbuds, Moonshot’s open source model - these are all big bets that will either work brilliantly or fail spectacularly. The winners will shape the next decade of AI development.

Alex Shannon: And I’m watching the court case closely because it could set precedents for the entire industry. How much control do founders have over their companies’ missions? What obligations do AI companies have to society? The legal answers could be as important as the technological ones.

Sam Hinton: The user adoption piece is crucial too. All this drama and innovation only matters if people actually use these tools and trust these companies. The safety features, the voice interfaces, the accessibility applications - these are the things that will determine whether AI becomes genuinely helpful or just stays a tech industry obsession.

Alex Shannon: It’s wild that we’re living through what might be the most important technological transition in human history, and it’s being driven by very human stories of ambition, betrayal, competition, and hopefully, responsibility.

OUTRO

Alex Shannon: What a day. Court battles, billion-dollar chip factories, voice AI, and cameras in earbuds. The AI world never slows down.

Sam Hinton: Thanks for hanging with us through all the drama and developments. If you’re getting value from these daily deep dives, hit that subscribe button and tell a friend. We’ll be back tomorrow with whatever chaos the AI industry serves up next.

Alex Shannon: Until then, keep building. See you tomorrow.