Stewart Squared

In this episode, Stewart Alsop III sits down with Stewart Alsop II to explore a wide sweep of themes—from getting an ESP32 and Arduino IDE up and running, to the future of physical AI, real-time computing, Starlink’s mesh network ambitions, and how edge devices like Apple’s upcoming M-series gear could shift the balance between local and cloud intelligence. Along the way, the two compare today’s robotics hype with real constraints in autonomy, talk through the economics and power dynamics of OpenAI, Anthropic, Amazon, and Google, and reflect on how startups still occasionally crack through big-tech dominance.

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Timestamps

00:00 Stewart Alsop opens with Arduino, ESP32 setup, vibe-coding, and the excitement of making physical things.
05:00 Discussion shifts to robots, autonomy limits, real-world complexity, and why physical AI lags behind software.
10:00 They unpack BIOS, firmware, embedded systems, and how hardware and software blur together.
15:00 Talk moves to cars as computers, Rivian’s design, and rising vehicle autonomy with onboard intelligence.
20:00 Stewart demos Codex, highlighting slow API inference and questions about real-time computing.
25:00 They contrast true inference vs derivation, creativity, and doubts about AGI.
30:00 Conversation turns to Microsoft, Google, OpenAI integration, and why apps fail at real personal utility.
35:00 Exploration of on-device LLMs, Apple’s strategy, M-series chips, and edge computing.
40:00 Broader architecture: distributed vs centralized systems, device power vs cloud power.
45:00 Discussion of big tech dominance, coordination costs, and how startups like Tesla or Anduril break through.
50:00 OpenAI unit economics, tokens, APIs, and comparisons with Amazon, Uber, and WeWork.
55:00 Closing with mesh networks, Starlink’s satellite routing, low-Earth-orbit scaling, and space debris concerns.

Key Insights

1. Hardware as a path to understanding reality: Stewart Alsop describes using Arduino, ESP32 boards, and a Raspberry Pi as a way to gain “intimacy with reality,” arguing that building physical systems teaches constraints and feedback loops that pure software often hides. His process—installing toolchains, debugging libraries, and interacting with sensors—highlights how hardware forces real-world learning that complements AI-driven coding assistance.
2. Physical AI lags far behind software AI: The conversation emphasizes the gap between LLM-based software agents and embodied robotics. Despite flashy demos, most robots remain remote-controlled, brittle, or gimmicky. The real world’s variability—stairs, dirt roads, weather—makes autonomy extremely difficult, pushing truly capable physical AI far into the future.
3. Everything is becoming a computer, including cars: They outline how EVs like Rivian and Tesla represent a shift where the computer is the primary design element and the vehicle is built around it. With autonomy features, sensor fusion, and operating systems more akin to smartphones, cars are evolving into mobile computation platforms with wheels.
4. Real-time computing and the “Evernet” are the next frontier: Stewart Alsop II argues that the future hinges on synchronous, always-available, high-bandwidth connectivity. Starlink serves as a preview of a world where real-time, global, low-latency networking becomes the norm, enabling continuous context awareness and distributed intelligence across devices.
5. Inference today is really derivation, not true reasoning: They distinguish between LLM “inference”—predicting tokens from prior data—and human inference, which creates new, orthogonal ideas. This raises doubts about AGI timelines, suggesting that creativity and genuine reasoning remain uniquely human for now.
6. Edge computing will rival cloud-based AI: Apple’s focus on on-device LLMs, fueled by increasingly powerful M-series and A-series chips, points to a hybrid future. Local models will handle personal context and privacy, while cloud models tackle heavier tasks. This could rebalance power away from centralized AI infrastructure.
7. Big tech dominance persists, but disruption remains possible: Although companies like Apple, Google, Amazon, and Meta have deep structural advantages—from chips to cloud to data—examples like Tesla, SpaceX, and Anduril show that startups can still break through. The key remains exceptional execution, timing, and identifying architectural gaps in the incumbents’ strategies.

In this episode of Stewart Squared, Stewart Alsop sits down with his father, Stewart Alsop II, for a wide-ranging conversation that connects the dots between streaming, AI, and the deeper history of how computers came to shape our world. Together they trace the path from the early days of Mosaic and Netscape to today’s agentic browsers like Atlas, Comet, and Gemini, exploring how Google, Apple, and Microsoft each built their empires from software, hardware, and the web. Along the way, they weigh dystopian fears of AI against its utopian potential, unpack the rise of ARM architecture and Raspberry Pi, and reflect on the cultural shifts linking the command line to modern creative tools.

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Timestamps

00:00 Streaming takes center stage as Stewart Alsop and Stewart Alsop II discuss the roots of live broadcasting and how early infrastructure shaped today’s media landscape.
05:00 The talk turns to dystopian versus utopian views of AI, with Stewart II describing the fear dominating creative industries and Stewart III seeing hope in agentic tools.
10:00 They unpack agentic browsers like Atlas, Comet, and Gemini, contrasting cultural fear with the promise of true digital assistants.
15:00 A deep dive into command line terminals reveals how humans first talked to machines and how vibe coding revives that direct power.
20:00 The evolution of browsers unfolds—from Mosaic and Netscape to Chrome—highlighting Marc Andreessen’s legacy and Google’s rise.
25:00 Apple’s UNIX roots and ARM integration illustrate the interplay between hardware, firmware, and software.
30:00 Web 2.0, RESTful APIs, and Tim O’Reilly’s insight frame the birth of social media.
35:00 The conversation shifts to IT systems, Google’s strategy, and Microsoft’s missteps.
40:00 They close with hardware curiosity, Raspberry Pi, sensors, and the future of the Internet of Things.

Key Insights

1. Streaming as the New Infrastructure: The episode opens by framing streaming not just as a media tool but as the visible outcome of decades of infrastructure building. Stewart Alsop reminds us that before live video was simple, a complex network of servers, protocols, and standards had to emerge—what once powered Twitch now underlies our daily digital communication.
2. The Dystopian vs. Utopian Split in AI: Stewart Alsop II captures the cultural divide surrounding AI—Hollywood and creative circles see it as a job killer, while technologists like his son see it as liberating. This tension reflects how innovation often feels like decline to those it disrupts, but empowerment to those who learn to wield it.
3. Agentic Browsers as the Next Interface: A major theme is the rise of “agentic browsers” such as Atlas, Comet, and Gemini, which act on behalf of users rather than simply displaying pages. The Stewarts recognize this shift as the next evolution in how we interact with information—one where browsers become assistants, not just windows to the web.
4. Command Line to Vibe Coding: Returning to computing’s roots, the conversation links modern coding with the earliest text-based interfaces. The command line, once reserved for experts, is now being reimagined through AI-assisted “vibe coding,” where natural language replaces syntax.
5. From Mosaic to Chrome—The Browser Wars: Stewart II traces the lineage from Marc Andreessen’s Mosaic to Google’s Chrome, emphasizing how each innovation changed how people accessed the internet. The browser, they note, became both the battlefield and the gateway for dominance in the digital age.
6. Apple’s Vertical Mastery vs. Microsoft’s Chaos: The episode contrasts Apple’s vertically integrated ecosystem—rooted in UNIX and ARM architecture—with Microsoft’s fragmented approach. Stewart II explains how owning the entire hardware–software stack made Apple’s systems more stable and secure, while Microsoft struggled with legacy dependencies.
7. The Return to Hardware and Sensors: The closing discussion circles back to tangible technology—Raspberry Pi, Arduino, and ESP32 boards—as Stewart III explores building physical systems again. Together they suggest that the next frontier blends software’s flexibility with hardware’s presence, completing the loop from digital abstraction back to embodied experience.

In this episode of Stewart Squared, hosts Stewart Alsop II and his son Stewart Alsop III, sits down with journalist and author Fred Vogelstein, known for his book Crazy Stupid Tech, to explore how technology, finance, and media are colliding in the age of AI. The conversation moves from Cloudflare’s emerging influence on AI web infrastructure and Google’s shifting search economy to the echoes of the 1999 tech bubble and the leverage risks in today’s crypto and private credit markets. Fred connects these financial dynamics to broader issues like middle-class decline, automation, and America’s uneasy economic balance with China. For more on Fred’s work, check out his book Crazy Stupid Tech and his reporting on Cloudflare and AI, and more subscribing to his innovation newsletter with Om Malik at CrazyStupidTech.com.

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Timestamps

00:00 Stewart Alsop and Stewart Alsop II welcome Fred Vogelstein to discuss Crazy Stupid Tech, Cloudflare, AI crawling, and Google’s dominance in search.
05:00 Vogelstein explains how Cloudflare’s control of 20% of web traffic gives publishers leverage against AI firms and Google’s search-to-AI transition.
10:00 The group compares today’s AI surge to the 1999 dot-com bubble, with parallels in hype, investment, and balance-sheet-driven spending.
15:00 They revisit the dual Internet and broadband bubbles and recall the 2000–2001 collapse that reshaped Silicon Valley.
20:00 Vogelstein questions assumptions about endless data-center growth and Transformer model efficiency, hinting at over-investment.
25:00 Discussion shifts to private credit, crypto leverage, and echoes of 1929’s systemic risk.
30:00 The hosts explore “too big to fail” thinking, national security, and global power shifts between the U.S. and China.
35:00 Debate over the dollar’s reserve status and potential yuan challenge connects to deflation and economic uncertainty.
40:00 Vogelstein argues AI could rebuild the American middle class by turning coding into a new industrial skill.
45:00 They reflect on generational divides, immigration, and historical memory shaping political polarization.
50:00 Conversation turns to Argentina’s scarcity economy and how chaos breeds innovation and resilience.
55:00 The trio concludes with optimism about AI as a personal tutor, onshoring, additive manufacturing, and the promise of renewed American industry.

Key Insights

1. Cloudflare’s strategic role in the AI ecosystem: Fred Vogelstein highlights how Cloudflare, led by Matthew Prince, occupies a pivotal position in managing AI web traffic, controlling around 20% of internet flows. This gives it unique leverage to force AI companies and publishers into negotiations over content usage and compensation—something Google has long resisted. Vogelstein sees this as a potential rebalancing of power between tech platforms and media creators.
2. Google’s existential search dilemma: The conversation underscores Google’s dependence on search revenue, which still represents over 60% of its business. As users shift toward AI-driven interfaces like Gemini, even a partial decline in search use could threaten Google’s financial foundation—an “extinction-level event,” as Vogelstein puts it.
3. Echoes of past bubbles: Drawing on his decades covering tech and finance, Vogelstein compares today’s AI boom to the 1999 Internet bubble, with enormous valuations and speculative enthusiasm. However, this time the money is coming from corporations with massive balance sheets rather than pure startups, creating a slower but potentially deeper form of risk.
4. Hidden leverage in the financial system: The group explores how private credit and crypto markets—largely unregulated and opaque—mirror the risky leverage dynamics of 1929. Vogelstein warns that while tech companies appear stable, the real vulnerability may lie in the unseen parts of the financial system funding them.
5. The geopolitics of AI and national security: The discussion broadens to how AI infrastructure investment has become a geopolitical contest between the U.S. and China. Data centers, chips, and compute capacity are now viewed as strategic assets, turning the tech race into a matter of state power and economic survival.
6. AI’s potential to restore middle-class opportunity: Despite his caution about financial bubbles, Vogelstein remains hopeful that generative AI could democratize innovation—allowing ordinary workers to “code” and automate without elite training, perhaps rebuilding the middle class hollowed out by globalization.
7. Cycles of disruption, renewal, and resilience: The episode closes on a philosophical note: every technological revolution disrupts before it rebuilds. From the offshoring of U.S. manufacturing to the rise of automation and scarcity economies like Argentina’s, the trio argues that chaos can spark renewal, and AI’s true promise may lie in that creative tension between collapse and reinvention.

In this episode of Stewart Squared, Stewart Alsop III talks with his father, Stewart Alsop II, about Sam Altman’s $25 billion plan to build OpenAI data centers in Patagonia and how it connects to a broader U.S.–Argentina currency swap and the shifting landscape of AI geopolitics. Together, they unpack what this means for energy demand, chip supply, and U.S. influence abroad, drawing parallels to past tech overbuilds like the 1990s dark fiber boom. The conversation moves from the logistics of powering massive AI infrastructure to the rise of robotics and “physical AI,” including Stewart II’s hands-on look at the Unitree robot and his investment in Chef Robotics. For listeners interested in deeper coverage of these stories, check out Stewart Alsop III’s AI Whispers report mentioned in the show.

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Timestamps

00:00 – Stewart Alsop III opens with news of Sam Altman’s $25B OpenAI data center plan in Patagonia, tied to a U.S.–Argentina $20B currency swap and Trump’s backing of Milei.
05:00 – They unpack Argentina’s political turmoil, corruption scandals, and the U.S. effort to counter China’s influence over lithium and rare earths.
10:00 – Discussion turns to AI infrastructure logistics, how data centers need massive power, and Altman’s ties to U.S. energy interests, including solar, nuclear, and SMR reactors.
15:00 – Stewart II compares this boom to the 1990s dark fiber overbuild, warning of overcapacity and shifting ownership in infrastructure cycles.
20:00 – They analyze OpenAI’s 800M users, inference costs, and Sora’s energy demand, considering how infrastructure strain shapes AI access.
25:00 – The talk shifts to Unitree robots, physical AI, and Stewart II’s investment in Chef Robotics, linking automation to industrial change.
30:00 – Closing with reflections on distributed systems, uptime, Google’s architecture, and the evolution from AltaVista to TikTok as symbols of scalable intelligence.

Key Insights

1. AI expansion is reshaping geopolitics. Stewart Alsop III and Stewart Alsop II frame Sam Altman’s $25 billion OpenAI data center project in Patagonia as more than a business move—it’s a geopolitical play. By pairing it with a U.S.–Argentina $20 billion currency swap, the initiative strengthens U.S. influence in South America while countering China’s earlier economic foothold through currency deals and lithium investments.
2. Energy is the new frontier for AI infrastructure. The conversation underscores that AI growth isn’t limited by hardware alone but by power. Data centers require enormous, stable energy supplies, and Altman’s reported interest in solar, battery storage, and small modular nuclear reactors (SMRs) reflects how energy independence has become central to national AI strategies.
3. Overbuilding echoes the dot-com era. Stewart II draws parallels to the 1990s dark fiber boom, when telecom firms massively overbuilt capacity that sat unused for years. The hosts suggest today’s $400-billion-plus data center race—by OpenAI, Microsoft, Oracle, and others—may follow a similar arc, where hype precedes utility and ownership eventually shifts to new players.
4. Chip scarcity defines the AI arms race. They emphasize how Nvidia’s limited GPU supply and OpenAI’s deal with AMD to secure more chips illustrate the bottlenecks in AI scalability. Control over advanced semiconductors now carries the same strategic weight as oil once did.
5. Inference cost and access inequality. With OpenAI serving roughly 800 million users but only 20 million paid, the discussion highlights how computational costs shape user experience. Free users get constrained performance because inference—running models at scale—consumes vast, expensive compute power.
6. Physical AI remains in its infancy. Stewart II’s firsthand experience with the Unitree robot shows how humanoid robotics are still more experimental than autonomous. Yet, his investment in Chef Robotics signals that real commercial progress is happening in less glamorous, industrial automation.
7. Distributed systems are the hidden backbone of AI. The pair close by tracing the lineage from Google’s early distributed architecture to today’s global platforms like TikTok and Instagram. These systems represent decades of evolution toward high-availability computing—proof that scaling intelligence depends as much on resilient infrastructure as on smarter models.

In this episode of Stewart Squared, Stewart Alsop III sits down with his father, Stewart Alsop II, for a rich, cross-generational conversation about China’s technological ambitions and the shifting balance of global power in semiconductors, AI, and manufacturing. Together, they unpack how China achieved seven-nanometer chips without EUV, the dominance of TSMC and its partnership with Apple, the rise of Nvidia and the GPU revolution, and how decades of offshoring reshaped the U.S. industrial landscape. The conversation weaves through topics like robotics, ARM architecture, battery innovation, and the intertwined futures of hardware and software, offering a blend of history, strategy, and insight from two distinct perspectives shaped by time and technology.

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Timestamps

00:00 Stewart III opens with China’s semiconductor advances—7 nm chips without EUV—and its strategy to dominate manufacturing and robotics.
05:00 Stewart II explains TSMC’s two-nanometer lead, Apple’s tight partnership, and how GPUs differ from CPUs in AI.
10:00 The pair explore China’s robotics boom, humanoid robots, and demographic pressures alongside open-source AI and industrial scaling.
15:00 They shift to China’s political economy—local subsidies, Xi Jinping’s control, and the fragile balance of power in global manufacturing.
20:00 A deep dive into GPUs, TPUs, and ARM architecture; why Nvidia dominates and Intel missed the AI transition.
25:00 The conversation turns to TSMC’s origins, unions, and the offshoring of U.S. manufacturing.
30:00 They connect rare earths, EVs, and battery innovation to China’s industrial ecosystem.
35:00 Discussion of Ion Storage Systems and solid-state battery breakthroughs.
40:00 Reflections on TSMC’s fabs, Taiwan’s rise, and Stewart II’s early coverage of semiconductors.
45:00 They close with Raspberry Pi, embedded systems, and how hardware and software co-evolve.

Key Insights

1. China’s Strategic Technological Ascent – The episode opens with Stewart Alsop III outlining China’s rapid progress in semiconductors and robotics, noting its ability to manufacture seven-nanometer chips without EUV lithography. Stewart Alsop II contextualizes this as impressive but technologically behind TSMC’s two-nanometer standard. Together, they frame China’s innovation strategy as one built on scaling, reverse-engineering, and mastering production at the intersection of AI, automation, and manufacturing.
2. TSMC and Apple as the Core of the Semiconductor Ecosystem – Stewart II explains how Apple’s deep partnership with TSMC created an unbreakable bond between U.S. innovation and Taiwan’s fabrication prowess. TSMC’s role as the world’s premier chipmaker places it at the center of global supply chains and geopolitical tension. China’s SMIC, by contrast, lags in both process sophistication and accumulated expertise.
3. The GPU Revolution and Nvidia’s Moat – The Alsops trace how GPUs evolved from graphics engines to AI accelerators. Stewart II describes how Nvidia’s architectural foresight—optimizing GPUs for parallel data processing—made it indispensable for AI model training. Nvidia’s dominance stems not from revenue but from its early, irreplicable integration of software and silicon.
4. The Decline of Intel and the Shifting Silicon Hierarchy – Once synonymous with computing power, Intel failed to transition beyond CPUs into mobile or AI hardware. Stewart II recalls its early arrogance and missed opportunities, contrasting it with the rise of ARM architecture and specialized chips like Google’s TPUs and Amazon’s custom processors.
5. Global Manufacturing and the Legacy of Offshoring – The discussion traces how unions, cost pressures, and the search for efficiency pushed U.S. companies to move production to Asia. TSMC’s rise and China’s manufacturing dominance were unintended outcomes of decades of U.S. corporate strategy. Trump’s reshoring rhetoric, they agree, reacts to this long-term structural shift rather than reversing it.
6. China’s Localized Capitalism – Stewart II emphasizes that China’s industrial success depends not just on central planning but powerful local governments competing through subsidies. This decentralized competition creates both strength and instability, as overcapacity and internal price wars undermine growth.
7. From Chips to Embedded Systems and Beyond – The episode ends on a generational hand-off: Stewart III’s fascination with Raspberry Pi and live coding meets Stewart II’s reflections on the layers of hardware, firmware, and software that defined his career. Their exchange becomes a metaphor for how technology knowledge evolves—stacked, like the chips themselves, from one era’s expertise to the next.

In this episode, Stewart Alsop III speaks with his father, Stewart Alsop II, about Hong Kong’s transformation since the 1997 handover and what it reveals about power, identity, and control in the information age. Together, they trace the shifting relationship between surveillance and sovereignty, explore how technology and data have become new instruments of hard power, and question what autonomy means in a world increasingly defined by networks and algorithms.

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Timestamps

00:00 The Alsops open with reflections on Hong Kong’s post-handover identity and what sovereignty means in an era of shifting global power.
05:00 They trace how information has become hard power, comparing today’s data empires to Cold War intelligence networks.
10:00 Discussion turns to the surveillance state, censorship, and how both China and the West weaponize transparency.
15:00 Stewart II recalls the Beltway Bandits and RAND Corporation days, linking them to the new tech-industrial complex.
20:00 The two explore AI alliances like OpenAI and Oracle, and the risks of corporate control over digital sovereignty.
25:00 A debate unfolds around decentralization and whether blockchain or open networks can resist central authority.
30:00 They consider how capitalism, governance, and propaganda intertwine in the information economy.
35:00 The episode closes with reflections on autonomy, freedom, and what it means to stay human amid algorithmic rule.

Key Insights

1. Information has replaced territory as the new frontier of power. The Alsops argue that control over data, algorithms, and narrative now matters more than borders or armies. They frame Hong Kong’s post-handover story as a lens for understanding how information has become both a weapon and a resource, shaping global hierarchies through who owns, processes, and protects it.
2. Sovereignty is increasingly digital. Where sovereignty once meant control of land and people, it now extends to networks and code. Stewart Alsop II recalls the Cold War’s geopolitical logic, while Stewart Alsop III contrasts it with today’s world where national power depends on cloud infrastructure, encryption standards, and data flows.
3. Surveillance is a shared language of governance. Both East and West are seen as practicing versions of the surveillance state—China through social control, the U.S. through corporate data collection. The conversation suggests that privacy is not only eroding but being redefined as a privilege rather than a right.
4. Technology companies have become the new Beltway Bandits. The elder Alsop connects his experience with RAND and Washington contractors to modern tech giants like Oracle and OpenAI. What used to be military-industrial has evolved into a tech-intelligence complex where innovation and influence are deeply entangled.
5. Decentralization remains an unfulfilled promise. While blockchain and open networks are often hailed as tools of resistance, the Alsops note that true decentralization is rare; power tends to recentralize around those who control computation and capital.
6. Identity and autonomy are being rewritten by algorithms. The father-son dialogue touches on how social media and AI reshape individual agency, subtly dictating what people see, believe, and desire. Autonomy, once a political ideal, has become a question of code design and data ownership.
7. Freedom in the information age requires vigilance and balance. The episode ends on a reflective note: maintaining freedom is no longer just about political institutions but about the ethics of technology itself. The Alsops suggest that reclaiming human judgment—amid the noise of automation and surveillance—is the most important act of sovereignty left.

In this episode, Stewart Alsop II, Stewart Alsop III, Brent Bushnell, and a brief appearance by Nolan Bushnell come together for a thoughtful exchange about the evolution of immersive entertainment, mixed reality, and playful learning. The conversation touches on creativity through technology, the merging of physical and digital worlds, and the Bushnell family’s legacy of innovation across art, engineering, and entrepreneurship.

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Timestamps

00:00 – Stewart Alsop II and Stewart Alsop III open the conversation with Brent Bushnell, setting the stage around creativity, play, and immersive experiences.
05:00 – Brent shares how 2 Bit Circus began as a playground for invention, merging art and engineering into hands-on storytelling.
10:00 – Discussion turns to Dream Park and the vision for mixed-reality spaces that blend digital wonder with real-world connection.
15:00 – The group reflects on the Bushnell legacy, with Nolan Bushnell briefly joining to speak about the spirit of curiosity and risk-taking in innovation.
20:00 – Brent and the Alsops explore democratization of fabrication and how accessible tools empower new creators.
25:00 – They consider education through play, where learning becomes experiential and technology acts as a creative partner.
30:00 – Closing thoughts emphasize community, imagination, and the future of interactive entertainment as a shared human experience.

Key Insights

1. Play as a foundation for creativity – Brent Bushnell emphasizes that play isn’t just entertainment; it’s a vital pathway to discovery. He describes how curiosity-driven environments, like those at 2 Bit Circus, help people reconnect with the instinct to explore and experiment without fear of failure.
2. Immersive entertainment as human connection – The conversation highlights how mixed-reality experiences can draw people closer together, blurring the lines between audience and performer. Brent sees this not as escapism but as a way to make interaction itself an art form.
3. The merging of art and engineering – Brent and the Alsops reflect on how innovation flourishes where technical precision meets creative imagination. This intersection—what Brent calls the “maker mindset”—turns technology into a storytelling medium rather than a barrier to emotion.
4. Legacy and learning from Nolan Bushnell – Nolan’s brief appearance reinforces the family’s tradition of bold experimentation. His reflections remind listeners that innovation requires both mischief and persistence, and that failure, properly embraced, becomes a teacher.
5. Democratization of fabrication – Brent discusses how access to affordable tools and rapid prototyping empowers anyone to build something meaningful. This shift mirrors the open spirit of the early computing era, inviting more people into the act of creation.
6. Education through experience – The group explores how learning can be transformed when it feels like play. Brent imagines classrooms where technology amplifies curiosity, blending entertainment and education to inspire lifelong engagement.
7. The evolving nature of community spaces – The episode closes with a reflection on the social power of interactive venues. For Brent, the future of entertainment lies in shared, tangible experiences that remind people that innovation, at its best, is a collective act of wonder.

In this episode of Stewart Squared, Stewart Alsop sits down with his father, Stewart Alsop II, for a wide-ranging conversation that moves from OpenAI’s massive semiconductor and Oracle deals, to the nature of money and the gold standard, to shifting dynamics in U.S.–China relations and modern warfare technologies like drones and cyber tools. They also trace the history of networking and video games—from LAN parties and Atari with Nolan Bushnell to immersive experiences like 2-Bit Circus and Meow Wolf—before circling back to how AI and robotics are beginning to reshape both business and reality itself.

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Timestamps

00:00 OpenAI’s $10B Broadcom inference chips deal and the $60B Oracle agreement raise questions about money, stock surges, and financial credibility.
05:00 The concept of “funny money,” Oracle’s cash reserves, quantitative easing, and the gold standard highlight how value and trust shape economies.
10:00 Gold, fiat currency, and banks like JP Morgan tie into larger concerns about trust in institutions, from Epstein to government credibility.
15:00 U.S.–China relations surface with Xi Jinping’s control, economic fraying, and the rise of a new Cold War alongside military innovation.
20:00 Drones in Ukraine, Israel, and Iran show shifting warfare, leading to thoughts on biological weapons, genocide accusations, and changing battlefields.
25:00 Broadcom’s roots in networking, Ethernet, LAN parties, and the rise of the internet illustrate the path to SaaS and global connectivity.
30:00 Atari, Nolan Bushnell, Chuck E. Cheese, Nintendo, PlayStation, and Xbox frame the evolution of gaming from cartridges to immersive experiences.
35:00 Immersive worlds like Meow Wolf and 2-Bit Circus tie into the idea of reality disturbance and AI’s role in reshaping digital and physical life.
40:00 AI, multimodality, robotics, Unitree’s IPO, and China’s economic system show competition, monopolies, and involution spirals.
45:00 IPO regulations, Hong Kong’s role, Chinese subsidies, and shifting global markets close with the Great Firewall hack and surveillance systems.

Key Insights

1. The episode opens with OpenAI’s massive semiconductor push, including a $10 billion deal with Broadcom for inference chips and a $60 billion agreement with Oracle. These announcements triggered huge stock surges but also raised skepticism about how much of the money is “real” versus headline figures designed to impress investors. The Stewarts frame this as a story about business credibility, financial imagination, and the blurred line between commitments and speculation.
2. Money itself becomes a central theme. From quantitative easing in 2008 to the abandonment of the gold standard in 1971, the conversation highlights that all money is “made up,” a shared trust system that can inflate or collapse. This sparks questions about fiat currency, the role of gold as a store of value, and whether today’s trillion-dollar deals mirror earlier cycles of financial storytelling.
3. The U.S.–China relationship emerges as a new Cold War. Xi Jinping’s centralized control has propelled China’s economic rise but now risks overregulation and excessive competition. Meanwhile, the U.S. response has been to fuel entrepreneurship in defense technologies, leading to a flood of startups chasing military funding. Both powers appear locked in a long-term contest, each capable of surviving independently while worrying about the other’s strengths.
4. Modern warfare is shifting rapidly, with drones as a central tool. Ukraine’s drone strikes on Russian bombers, Israel’s targeted operations inside Iran, and debates over biological warfare illustrate how the battlefield now mixes precision targeting with the threat of indiscriminate devastation. This marks a move away from the older notion of “honor in war” and underscores the erosion of distinctions between combatants and civilians.
5. Technology history provides perspective, from Broadcom’s early role in networking and LAN parties to the rise of the internet and SaaS. These stepping stones enabled today’s hyperconnected world and help explain how companies like Broadcom can resurface as key players in the AI era.
6. The evolution of gaming is traced through Atari, Nolan Bushnell, and Chuck E. Cheese, through Nintendo, PlayStation, and Xbox, and into mobile gaming with Zynga. Consoles once defined the industry, but immersive experiences like Meow Wolf and 2-Bit Circus now show how games blur into physical, communal, and artistic environments.
7. Finally, the episode circles back to AI as a force of “reality disturbance.” Large language models are becoming multimodal, robots are gaining touch and sensory capabilities, and companies like Unitree Robotics show China’s intense push into automation. The Stewarts note the risk of involutionary spirals—too much competition cannibalizing itself—but also see AI as an inevitable layer that every business must integrate, whether as infrastructure, interface, or imagination.

In this episode of Stewart Squared, Stewart Alsop III sits down with Stewart Alsop II to talk about Cloudflare, its role as the “network administrator” of the internet, and how its business model connects to the larger shifts happening with AI, content, and regulation. The conversation moves through Cloudflare’s core services—CDN, DDoS protection, DNS, zero trust security, and more—before branching into AI’s impact on the open web, lawsuits over training data, Anthropic’s billion-dollar book settlement, and Google’s changing monopoly status. Along the way, they compare today’s uncertainty around AI to the early commercialization of the internet in the 1990s, touch on Al Gore’s “information superhighway,” the rise of special-interest magazines, and how advertising once worked as content.

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Timestamps

00:00 Stewart Alsop introduces Cloudflare and Stratechery, with Stewart Alsop II framing the idea of network administrators versus database administrators.
05:00 Discussion turns to Cloudflare’s distributed network, AI crawlers paying to scrape, and parallels with Apple’s App Store tolls.
10:00 Cloudflare’s core functions are outlined: CDN, DDoS protection, web application firewall, DNS, zero trust security, SSL/TLS, and load balancing.
15:00 The focus shifts to Perplexity, AI scraping practices, lawsuits against OpenAI, and Anthropic’s $3,000 per book settlement.
20:00 Google’s monopoly case, PageRank, and whether AI chat is true competition for search come into question.
25:00 They recall the 1990s internet commercialization, ARPANET roots, TCP/IP, and Al Gore’s role in the “information superhighway.”
30:00 The talk explores niche magazines, ads as content, early internet communities, and conferences as proto-networks.
35:00 Spam is compared to door-to-door sales and Tupperware parties, showing how unwanted commercial attention evolves.
40:00 Science fiction predictions like Dick Tracy’s watch, real-time translation, and the future of the internet’s business model.
45:00 The episode closes with reflections on space exploration, SpaceX, Starship, and how the internet may face its own existential shift.

Key Insights

1. A central theme of the conversation is Cloudflare’s positioning as the “network administrator” of the internet, contrasting with the role of “database administrators.” Stewart Alsop II highlights how this mindset—focusing on distributed connectivity rather than centralized data—has shaped Cloudflare’s growth into a foundational layer of the web, handling massive portions of global traffic and AI queries.
2. Cloudflare’s business model is rooted in offering free protection and performance services, including CDN, DDoS mitigation, DNS, web application firewalls, and zero trust security. Over time, this freemium model has scaled into large enterprise contracts, echoing how companies like GitHub monetize advanced features while keeping entry-level services widely accessible.
3. The discussion emphasizes Cloudflare’s novel approach to AI crawlers: charging for access to content instead of allowing free scraping. This mirrors Apple’s App Store toll model, raising questions about whether such control could eventually be seen as monopolistic if Cloudflare becomes the default gateway for AI training data.
4. Broader AI tensions surface in the critique of Perplexity’s scraping methods and in the legal battles over copyrighted content. Anthropic’s billion-dollar settlement to compensate authors shows how companies are willing to spend heavily to avoid legal precedents that might restrict data access, signaling how unsettled the rules of AI training remain.
5. Google’s position is examined in light of DOJ scrutiny and the shifting competitive landscape. The conversation contrasts search’s reliance on PageRank and links with AI chat’s direct answers, suggesting that Google’s architecture is optimized for one model of information retrieval while AI points toward another, potentially disruptive future.
6. Historical parallels add depth: the commercialization of the internet in the 1990s, Al Gore’s support of the “information superhighway,” and the role of niche magazines and ads-as-content. These examples highlight how new communication technologies have always disrupted business models, with AI and the internet facing a similar inflection point now.
7. The episode closes by looking forward, drawing on science fiction’s role in shaping expectations—from Dick Tracy’s smartwatch to real-time language translation. Yet unlike sci-fi’s optimistic visions, the internet’s future feels uncertain, with questions around monetization, spam, trust, and even the existential sustainability of the current web business model.

In this episode of Stewart Squared, Stewart Alsop III sits down with Stewart Alsop II to explore the financial and technical foundations shaping today’s AI and cloud economy, from the staggering scale of CapEx and depreciation schedules to the sustainability of investments by Microsoft, Meta, OpenAI, and Anthropic. The conversation traces historical precedents like the fiber boom, Google’s rise, and the pivot from Justin.tv to Twitch, leading into a discussion of venture capital shifts, IPO trends, and the enduring importance of the “rule of 40.” They also examine Cloudflare’s emerging role in the open internet economy, the rise of agents and Amazon’s use of reinforcement learning gems, and pressing security challenges around AI scraping, ITAR data, and national infrastructure.

Check out this GPT we trained on the conversation

Timestamps

00:05 Stewart Alsop introduces the theme of CapEx and depreciation, setting the stage with numbers on massive 2025 infrastructure spending.
00:10 Stewart Alsop II explains depreciation schedules, cash vs GAAP accounting, and how fast AI infrastructure like Nvidia chips and server farms lose value.
00:15 The discussion shifts to Microsoft’s Azure strategy, OpenAI’s spending, and comparisons to the 1999 fiber boom where dark fiber overbuilds reshaped the internet.
00:20 Meta’s dual front in VR/AR and AI is questioned for sustainability, as acquisitions and billion-dollar hiring sprees raise risks.
00:25 Historical precedents emerge: Google’s speed in search, Facebook’s real-time newsfeed infrastructure, and the rise of Twitch from Justin TV through Emmett Shear’s pivot.
00:30 Venture capital lessons are highlighted, from early struggles to explosive growth, with reflections on Series A–C shifts, ZIRP, growth equity vs private equity, and the rule of 40.
00:35 Tesla vs Rivian valuations anchor a risk discussion, then focus moves to Cloudflare, intermediaries, AI web crawling, and pay-by-crawl monetization.
00:40 The episode closes with agents, RLGems, universal verifiers, Amazon and Apple’s data advantages, security concerns with ITAR breaches, and the future of an open internet.

Key Insights

1. Depreciation shapes the economics of AI infrastructure.
Stewart Alsop II explains how massive CapEx spending—such as $392 billion in 2025—must be matched against depreciation schedules, which spread the cost of assets like Nvidia chips and server farms over years. The challenge is that AI hardware becomes obsolete much faster than traditional assets, making the schedule a judgment call that influences sustainability.

2. Microsoft’s position differs from AI-first labs.
Unlike OpenAI or Anthropic, Microsoft already had Azure and enterprise infrastructure in place, so their incremental AI spending built on existing investments. This makes their approach more sustainable and less risky than startups burning cash to compete.

3. Meta faces a “two-front war.”
Meta’s massive CapEx is split between VR/AR hardware bets and AI infrastructure, stretching resources and raising questions about whether its cash flows from social media can continue to fund both without weakening the core business.

4. Historical precedents highlight today’s risks.
The fiber boom of the late 1990s, Google’s breakthrough with fast search, and the pivot from Justin.tv to Twitch show how infrastructure-heavy investments can collapse or succeed depending on timing, user demand, and business model clarity.

5. Venture capital dynamics have shifted.
Seed rounds remain risky and contrarian, but later rounds resemble private equity with safer bets and higher valuations. The “rule of 40” has become a standard measure for balancing growth and profitability when evaluating public companies.

6. Cloudflare positions itself as a gatekeeper.
With 80% of AI companies crawling the web through its network, Cloudflare’s pay-by-crawl model could redefine how publishers monetize access to their content, creating a new intermediary in the AI-driven internet economy.

7. Agents and security are the next frontier.
Amazon’s RLGems and universal verifiers illustrate the push to give AI agents personalization and autonomy, but this shift also heightens security risks. Breaches like ITAR data leaks underscore that the AI-driven world may be even more insecure than today’s internet.