Enterprise XR hasn’t disappeared, it has quietly moved into places where it saves time, reduces errors and changes how people work every day. On this episode of the AI XR Podcast, Charlie Fink and Rony Abovitz talk with Boston Consulting Group partner Kristi Woolsey, who leads BCG’s immersive practice, about how XR plus AI is already being used for training, maintenance, onboarding, retail and architecture inside some of the world’s most conservative organizations.

Kristi shares a Swiss Rail project where field technicians wear lightweight AR glasses that recognize who they are and which train car they are standing in front of, pull the correct procedures from internal systems and use AI to turn thick manuals into simple task checklists.

She explains how this leads to double-digit efficiency gains for both experienced and new workers, and how a small behavior design choice – automatic logging for headset users versus manual end-of-shift paperwork for everyone else – helped overcome skepticism on the front line. Drawing on her background as a physical-space architect, she also describes how VR and rapidly improving 3D tools are changing the way companies design stores, offices and buildings before anything physical is built.

AI XR News you should know, Charlie and Rony cover Anthropic’s massive new funding round and ethics turbulence, Chinese generative video tools like Seed Dance 2 and Kling that put TV-quality visuals in reach of “garage Spielbergs,” and Meta’s reported seven million Ray-Ban and Oakley AI smart glasses sold – early signals of where wearable AI and XR are really headed.

Key Moments

• 01:03 – Anthropic’s huge raise and what the ethics departure might signal
• 05:08 – Seed Dance 2 and Kling showcase a new level of generative video
• 08:35 – Meta’s seven million smart glasses and the reality behind that number
• 12:10 – Why wearable AI may be the real “last mile” of turning us into cyborgs
• 15:28 – Inside the early metaverse tours Kristi and Rony built for enterprises
• 20:27 – How BCG’s VR onboarding keeps new hires engaged months before day one
• 23:30 – Swiss Rail’s AR and AI maintenance assistant and what it actually does on site
• 27:05 – Designing XR systems that give value to both the business and frontline workers
• 30:29 – Using VR as a lab for retail and workplace behavioral strategy
• 33:06 – How AI-generated 3D models point toward “build every space digitally first”

This episode shows how “metaverse” ideas have turned into practical tools: XR plus AI is cutting training times, improving maintenance quality and letting companies experiment with spaces before they exist. Kristi’s examples make it clear that the real action is in careful workflow design, not flashy avatars.

This episode is brought to you by Zappar, creators of Mattercraft, the leading visual development environment for building immersive 3D web experiences for mobile, headsets and desktop. https://mattercraft.io/

Mattercraft combines the power of a game engine with the flexibility of the web and now includes an AI assistant that helps you design, code and debug in real time, right in your browser. To explore what’s possible with AI-powered XR on the web, start building smarter with Mattercraft from Zappar.

Listen to “Enterprise XR Meets AI: How Smart Glasses, Digital Twins and Holodecks Are Quietly Changing Work – Kristi Woolsey” on the AI XR Podcast and follow the show for new episodes every week.

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Our guest this week, Alvin Wang Graylin spent 35 years in senior leadership roles across HTC, IBM, and other major tech companies. He ran HTC's VR division, came out of the famous HIT Lab, now teaches at MIT, holds a fellowship at Stanford, and just published a paper called "Beyond Rivalry" proposing a seven-point plan for deescalating US-China AI tensions and building a global safety net before the economy breaks.

His thesis: America is the fastest in the AI race and the least prepared for what it's creating—a cliff where human labor theory of value collapses, capital concentration accelerates, and 40% of the population living month to month faces chaos.

The conversation becomes a wide-ranging debate between Alvin, Charlie, and Rony about whether AGI will be benevolent by default (Alvin's position: research shows smarter AI seeks global coherence and becomes less controllable by individual humans, which may actually make it safer) or whether benevolence must be designed in from scratch

AI XR News You Should Know: Elon Musk merges SpaceX, xAI, and X into a single entity—Alvin dismantles the space data center concept with physics (vacuum cooling is a myth, micro-meteorite collisions would destroy hardware daily, and energy is only 10% of data center costs).

Amazon invests $50 billion in OpenAI that round-trips back to AWS. Alphabet breaks revenue records at $400 billion but spooks investors by disclosing $90 billion in AI spending. ElevenLabs raises $500 million at $11 billion valuation. Rony's SynthBee hits unicorn status with $100 million raised at a multi-billion dollar valuation.

Alvin warns the AI bubble dwarfs the dot-com era (298 companies raised $24 billion total during dot-com; OpenAI alone is raising that in a single private round) and predicts OpenAI may implode before going public.

Key Moments Timestamps:

• [00:04:47] SpaceX/xAI/X merger: Rony calls it Elon's "return to Tony Stark form"
• [00:06:41] Alvin dismantles space data centers with physics: vacuum cooling myth, micro-meteorites, $7K/kg launch costs
• [00:10:04] Amazon's $50B investment in OpenAI as a round-trip to AWS; the scam economy
• [00:11:26] Alvin predicts OpenAI may implode before going public
• [00:14:23] Alvin on 35 years in AI: the technology is transformational but everyone's making a commodity product
• [00:17:04] The AI bubble dwarfs dot-com: $24B total vs. single private rounds today
• [00:19:04] Rony's contrarian: the $110 trillion global economy is what's being bet against
• [00:21:06] Labor theory of value collapses: what happens when humans exit the production cycle
• [00:23:00] America is fastest in the AI race and least prepared; 40% live month to month
• [00:24:00] Alvin's Stanford paper "Beyond Rivalry": a CERN for AI and global data pool
• [00:28:00] Davos reflections: the rest of the world is more rational than America
• [00:34:00] Chinese vs. American culture: reverence for teachers, respect for elders
• [00:42:00] Alvin's "Abundant" framework: valuing human dignity over production after AGI
• [00:44:22] The great debate: will AGI find benevolence naturally (Alvin) or must it be designed in (Rony)?
• [00:47:00] Rony on risk: AGI systems are unverifiable, untestable, and we cannot take the chance

Listen to the full episode and subscribe to the AI XR Podcast for weekly conversations at the intersection of AI, XR, and the future of humanity.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Build smarter at mattercraft.io.

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Edward Saatchi has been building at the frontier of AI storytelling for a decade—from Oculus Story Studios to Fable (where his AI character Lucy made her own films at Sundance) to his current venture, Amazon-backed Showrunner. His thesis is provocative: AI-generated content is stuck in a four-year rut of short-form experiments with no commercial marketplace, no monetization path, and no artistic value. Creators are working solo, making 10-second clips that can't compete with Rick and Morty or Netflix originals. The solution? Band together, make features and TV shows, and build platforms where creators get paid every time someone remixes their work.

Edward's most audacious project proves the point: reconstructing Orson Welles' lost masterpiece, The Magnificent Ambersons (44 minutes destroyed by studio cuts in 1942), using motion-capture actors and AI to seamlessly restore what was erased. The irony is intentional—it's a film about technology destroying beauty, restored by technology. Edward's approach isn't text-to-video slop. It's human performance driving AI synthesis: hire stage actors, capture their performances, use the original cutting continuity as a blueprint, and let AI fill the gaps. The result is cinema-quality work that would cost $100 million traditionally but costs $10 million with AI assistance.

In AI XR News This Week:

Amazon announces 16,000 layoffs (mostly middle management) while ramping robotics—replacing humans with machines in warehouses. Amazon Go and Amazon Fresh stores close after years of investment; the self-checkout convenience experiment dies. Snap spins off Spectacles AR glasses into a separate business, signaling lack of cash or confidence. Apple and OpenAI both developing AI wearables to launch in 2027, powered by Gemini and Google AI. Google launches Project Genie, a generative AI model that creates fully interactive 3D game worlds you can navigate and remix in real time. Walkabout Mini Golf (one of the 10 most popular Quest apps) lays off half its staff. Atlas V, the acclaimed French VR studio behind Spheres and Battle Scar, pivots to location-based entertainment. Darren Aronofsky launches an AI animated series on YouTube called On This Day.

Key Moments Timestamps:

[00:05:00] Amazon's 16,000 layoffs paired with robotics expansion; the canary in the coal mine for white-collar work

[00:06:00] Amazon Go/Fresh failure: humans reject automated futures when given the choice

[00:07:14] Snap spinning off Spectacles; Ted's thesis on AR glasses remaining "exotic," not mainstream

[00:10:00] Apple wearables running Gemini + Google AI; the winning formula for wearable AI domination

[00:12:48] Walkabout Mini Golf layoffs and Atlas V's pivot; VR right-sizing continues

[00:15:25] Google Genie: generative 3D worlds, playable and remixable in real time; Epic should be scared

[00:19:11] Edward Saatchi joins: the state of AI video and why there's no marketplace after 4 years

[00:22:00] Edward's concern: AI content is "derivative but worse" with no commercial value

[00:28:00] The marketplace problem: no buyers, no revenue, no sustainability for creators

[00:34:00] Ted's thesis: AI is quietly disrupting VFX and screenwriting behind the scenes

[00:44:00] Critters: the proof-of-concept for AI-assisted theatrical animation ($10M vs. $100M traditionally)

[00:49:00] Showrunner's business model: creators earn money every time someone remixes their show

[00:52:00] The Magnificent Ambersons project: restoring Orson Welles' lost masterpiece with AI

Edward makes a case that reads like a manifesto: AI's killer app isn't making derivative work faster or cheaper. It's remix, interactivity, and personalization at scale—letting audiences co-create with AI while creators get paid. His challenge to the industry: hold yourself to "derivative but better" (can you make a better Simpsons episode than the last 15 seasons?) or "original and good" (something from a non-human intelligence's perspective). Until creators band together to make features and TV shows with commercial value, AI video will remain stuck in the trough of disillusionment.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Build smarter at mattercraft.io.

Listen to the full episode and subscribe to the AI XR Podcast for weekly conversations at the intersection of AI, entertainment, and the future of interactive media. Watch on YouTube.

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What happens when you can transform yourself into any character, in any world, in real time, while streaming live? Dean Leitersdorf is the CEO and co-founder of Decart, an Israeli AI company that just cracked the code on real-time generative video. Within a week of launching at TwitchCon, Twitch streamers were making thousands of dollars per hour letting their audiences morph them into cartoon characters, fantasy worlds, and entirely new realities—live, on stream, for three dollars per hour of AI processing.

Dean's insight: the next wave of AI doesn't just make video generation faster or cheaper. It makes it interactive. Creators can now edit themselves, their backgrounds, and entire environments on the fly during Zoom calls, live streams, or gaming sessions. Decart runs this at roughly 100x cheaper than competitors and is targeting another 100x cost reduction over the next year to reach YouTube-level pricing (cents per hour instead of dollars). That shift unlocks new markets—gaming mods, consumer filters, XR glasses, and eventually robotics training in photorealistic simulated worlds.

News: Humans&, a 3-month-old AI lab founded by researchers from Anthropic, Google, and X AI, raises $480 million at a $4 billion valuation based almost entirely on founder pedigree. Xreal sues Viture for patent infringement in bird bath optics, echoing the very lawsuit Magic Leap filed against Xreal years ago—a cycle of irony layered with allegations of trade secret theft and China-based IP evasion. OpenAI discloses $20 billion in revenue but rumored $50–60 billion in annual operating expenses, raising questions about path to profitability. TikTok's US operations close under Oracle's stewardship, and a new vertical drama app called Pinedrama launches. ElevenLabs launches music generation, competing with Suno and Udio.

Key Moments Timestamps:

[00:20:30] Dean's background: Israeli tech ecosystem, the Technion, and building a team of 0.001 percenters

[00:22:00] The real-time video demo: transforming Dean into a cartoon character, live, during the podcast

[00:26:30] Decart's competitive advantage: 100x cheaper than competitors, targeting another 100x reduction

[00:28:00] TwitchCon success: streamers making $2,000/hour letting audiences control real-time transformations

[00:31:00] Exit strategy or go-it-alone: why Decart believes foundational model owners capture the market

[00:40:00] XR and robotics use cases: world reshaping, robot training simulations, AR glasses at 6K/120fps

[00:48:30] Culture and talent: renting 34 apartments next to the office so engineers live two minutes away

[00:55:00] The secret sauce: synthetic data from game engines beats internet-scale scraping

Dean explains why Snap Camera's 10-year-old integration into stadium kiss cams proves the market is ready for the next evolution, how world models will power the next generation of XR glasses, and why the bottleneck shifts from rendering to semantics—making sure a virtual car doesn't block a real-world foot. Decart is building the foundation. The ecosystem will sprout on top.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Build smarter at mattercraft.io.

Listen to the full episode and subscribe to the AI XR Podcast for weekly conversations at the intersection of AI, XR, and the future of human-computer interaction.

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What happens when someone who grew up in the Lucasfilm Games golden era decides that today’s AI tools are failing creatives? Mike Levine has spent more than 30 years building at the intersection of games, XR, VFX, and interactive storytelling—and his verdict is clear: the current AI stack is a fragmented, overcomplicated mess that turns directors into prompt engineers.

Mike started as a tester at Lucasfilm Games (later LucasArts), working his way into the art department on titles like Sam & Max and The Dig before helping ship live-action Star Wars games such as Rebel Assault and Jedi Knight II. He later built rotoscoping tools used across the VFX industry, collaborated with ILM and Pixar, experimented with mobile AR games for Hasbro and HoloLens, and dipped into crypto gaming—before finally co-founding MovieFlow (now FilmSpark), an AI-native production platform designed so that filmmakers, agencies, and showrunners can move from script to screen without needing a computer science degree.

The AI XR news you should know: Apple taps Google Gemini to power Siri, acknowledging that building world-class LLMs in-house makes little financial sense. Meta cuts 10% of Reality Labs, right-sizing its VR bets while pivoting toward wearables. Xreal raises another $100M amid questions about Chinese state influence and data flows. Higgs Field lands $80M at a $1.3B valuation for AI cinematography tools that many filmmakers still find unreliable. Wikipedia signs licensing deals with major AI companies after years of being scraped for free. OpenAI invests $252M in Sam Altman–backed Merge Labs, raising fresh conflict-of-interest questions.

Key Moments Timestamps:

[00:23:02] From Boston journalist-to-be to accidental hire at Lucasfilm Games

[00:26:24] The “test pit” culture at Lucas and how Nintendo experience got Mike in the door

[00:28:45] Moving into the art department, learning Photoshop from early legends, and shipping Sam & Max

[00:31:15] Live-action Star Wars games: Rebel Assault, Jedi Knight II, and convincing George Lucas

[00:34:38] Visiting Pixar with new VFX tools and recognizing the same creative “magic” as LucasArts

[00:36:24] Doug Trumbull’s influence on Mike’s sense of cinematic possibility and immersion

[00:43:27] The urinal meeting at Magic Leap and what early spatial computing got right (and wrong)

[00:49:00] Why most AI tools are “dark ages” for filmmakers: node graphs, 10+ subscriptions, no story view

[00:51:00] Building MovieFlow/FilmSpark: story-first, timeline-based AI production for long-form and vertical shows

[00:53:00] The Neighborhood Podcast: a 90-second vertical murder mystery as proof-of-concept for AI-native series

When humans can generate shots, scenes, and even entire episodes in minutes, the bottleneck shifts from production to vision. Mike argues that the winning AI tools will be the ones that let directors see their whole story, maintain continuity, and iterate fast—without ever feeling like they left the edit bay for a dev console. His vertical drama collaboration with Charlie, The Neighborhood Podcast, is an early look at what happens when narrative craft meets AI-native pipelines instead of fighting them.

This episode is brought to you by Zapar creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences. Build smarter at mattercraft.io.

Watch the full episode on YouTube and subscribe to the AI XR Podcast for weekly conversations with the people building the future of AI, XR, and interactive media.

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Dean Takahashi is the dean of tech writers and a 25-year veteran correspondent covering consumer electronics, gaming, and emerging technology for GamesBeat. He's covered every major tech transition—from mobile's rise to VR's boom-and-bust cycles to the current AI explosion—with a skeptical eye and a talent for finding the human story beneath the hype. This is his fifth appearance on the AI XR Podcast.

For CES 2026, Dean walked the floors across the Convention Center, the Venetian Expo Center (Eureka Park), Pepcom, and Showstoppers, emerging with a clear reading: China has decisively shifted from periphery to center stage in consumer electronics manufacturing, American incumbents are pulling back and rethinking their booth strategy, and the economics of CES itself are in transition. Robotics companies are moving from prototype to commercial faster than expected—but they still can't answer basic questions about pricing and labor displacement.

News: Sony cuts its booth to demo an electric car instead of TVs. Samsung skips the show floor entirely for the first time. Nvidia takes over the Fontainebleau to showcase its role in robotics enablement. Lenovo dominates the Sphere with a Gwen Stefani concert. Chinese robotics companies proliferate with laundry folders, latte makers, and toilet-cleaning units. Roomba files for bankruptcy; Chinese competitors take over the robotic vacuum market.

Key Moments:

• [00:01:23] Dean receives his virtual green jacket as a five-time returning guest and Charlie thanks him for his insights
• [00:03:00] China takeover at CES: TCL dominates Central Hall, ROED owns the XR booth, robotics companies fill the floor
• [00:06:00] Nvidia's Fontainebleau takeover and the "chest-pumping" show of force; why scale messaging still matters
• [00:14:18] The robotics explosion explained: Nvidia's digital twins, Cosmos world models, and synthetic testing accelerate time-to-market
• [00:19:00] The pricing problem: robotics companies won't answer how much their products cost; the minimum wage rental model doesn't translate globally

When American companies built the show, CES reflected American manufacturing dominance. Now that China manufactures most consumer electronics, CES reflects that shift—and the implications ripple through labor, supply chains, and where the next epicenter of innovation will be. Dean, Charlie, and Ted grapple with what CES 2026 signals about global manufacturing advantage and why the geography of tech matters more than we think.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Build smarter at mattercraft.io.

Listen to the full post-CES debrief and subscribe for weekly conversations at the intersection of AI, XR, and consumer technology.

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Gary Shapiro has spent decades at the center of the global consumer technology industry, leading the Consumer Technology Association (CTA) and building CES into one of the most important stages for innovation, policy, and deal-making on the planet.

In this first episode of 2026, Gary joins Charlie, Rony, and Ted to preview CES, unpack the explosion of AI across every category, and deliver unusually blunt takes on tariffs, China, manufacturing, and U.S. innovation policy. He explains how CES has evolved from a TV-and-gadgets show into a global platform where boards meet, standards are set, and policymakers, chip designers, robotics firms, and health-tech startups all collide.

In the News: Before Gary joins, the hosts break down Nvidia’s $20 billion “not-a-deal” with Singapore’s Groq, the stake in Intel, and what that combo might signal about the edge of the GPU bubble and the shift toward inference compute, x86, and U.S. industrial policy. They also dig into Netflix’s acquisition of Ready Player Me and what it suggests about a Netflix metaverse and location-based entertainment strategy, plus Starlink’s rapid growth and an onslaught of “AI everything” products ahead of CES.

Gary walks through new features at this year’s show: CES Foundry at the Fontainebleau for AI and quantum, expanded tracks on manufacturing, wearables, women’s health, and accessibility, plus an AI-powered show app already fielding thousands of questions (top query: where to pick up badges).

He also talks candidly about his biggest concern—that fragmented state-level AI regulation (1,200+ state bills in 2025) will crush startups while big players shrug—and why he believes federal standards via NIST are the only realistic path. The discussion ranges from AI-driven healthcare and precision agriculture to robotics, demographics, labor culture, global supply chains, and what CES might look like in 2056.

5 Key Takeaways from Gary:

• AI is now the spine of CES. CES 2026 centers on AI as infrastructure: CES Foundry at the Fontainebleau for AI + quantum, AI training tracks for strategy, implementation, agentic AI, and AI-driven marketing, and an AI-powered app helping attendees navigate the show.
• Fragmented state AI laws are an existential risk for startups. Over 1,200 state AI bills in 2025—including proposals to criminalize agentic AI counseling—could create a compliance maze only large incumbents can survive, which is why Gary argues for federal standards via NIST.
• Wearables are becoming systems, not gadgets. Oura rings, wrist devices, body sensors, and subdermal glucose monitors are starting to be designed as interoperable families of devices, with partnerships emerging to combine data into unified health services.
• Robotics is breaking out of the industrial niche. CES will showcase the largest robotics presence yet, moving beyond factory arms and drones to humanoids, logistics, social companions, and applied AI systems across sectors.
• Tariffs, alliances, and AI will reshape manufacturing. Gary is skeptical of “Fortress USA” strategies that try to onshore everything, pointing instead to allied reshoring (Latin America, Europe, Japan, South Korea) and the long-term role of AI-powered robotics in changing labor economics and global supply chains.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Whether you’re a developer, designer, or just getting started, start building smarter at mattercraft.io.

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Shelly Palmer has spent 45 years watching technology reshape every industry—from writing news themes for CBS to consulting with every major media company on AI strategy.

On this year-end recap, he cuts through the noise with one devastating observation: 2025 was the year everyone talked about AI while almost nobody actually used it. Executives shook their heads knowingly in meetings, pontificated about capabilities the models don't yet have, and parroted nonsense they read from other people who knew nothing. But when you asked one innocent question, they crumbled.

In the News: CES 2026 shapes up with Nvidia sponsoring two full days of AI training. Samsung is skipping the main floor for a massive offsite activation. Sony brings no electronics—only Honda's experimental vehicles. The TCL and Chinese companies' presence hinges on tariff policy. The innovation series breakfast that Shelly runs is becoming an official CES event after a decade of independence.

The conversation spirals into deeper territory: $3 trillion in government money is stacked behind AI development. The U.S. explicitly states it must beat China to AGI—making this the Manhattan Project of our lifetime. Shelly walks through what he's seen in successful companies (leadership using the tech, paid "Tech Tuesdays" for AI experiments, cross-discipline teams with SecOps and legal at the table) versus the chaos of places with no process.

He breaks down what's real—drone warfare, cybersecurity applications, robotics—versus what's hot air. And he makes a case that won't be killed by AI itself, but by militarized applications and the geopolitical arms race we're already in.

5 Key Takeaways from Shelly:

• Leadership belief and hands-on use are non-negotiable. Companies winning with AI have senior leaders who actually use the technology. When the CEO walks into an LT meeting saying "I built this agent over the weekend," everyone else starts experimenting too.

• The recipe for AI success has three ingredients: leadership belief, paid time to experiment (Tech Tuesdays/Thursdays with real budgets), and cross-discipline teams (SecOps, legal, compliance, risk) paving the way. Chaos erupts without this structure.

• You cannot build a point of view on AI from reading blogs or watching YouTubers. Pick a personal project you care about, go hands-on with a model (Claude, Gemini, GPT), and complete it from beginning to end. Only lived experience grounds your understanding.

• AI parallelizes with web 1.0: In 1998, you had to hand-code HTML, build databases manually, write raw JavaScript. Today you can vibe code a site in 90 seconds. AI will eventually reach "spin me up an expert that does X" without asking questions—we're not there yet, but it's inevitable.

It's both bubble and Manhattan Project. Some valuations are insane and will burst. But military applications, cyber warfare, drone control, robotics—those aren't going anywhere. The government won't back off. Both outcomes happen simultaneously.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop.

Mattercraft combines game engine power with web flexibility and features an AI assistant to help you design, code, and debug in real time in your browser. Build smarter at mattercraft.io.

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Caitlin Krause, author of Digital Wellbeing, argues that intentional design unlocks genuine connection within virtual spaces. Drawing on her teaching at Stanford and the University of Oregon, she's explored how XR environments can foster asynchronous connection and ambient awareness for people who crave belonging without hyper-social performance. Her framework rejects the "digital detox" model entirely—instead advocating for dignity-first design where users match attention with authentic intention.

The hosts debate the deeper question: what happens to human purpose when AI handles all labor? Rony Abovitz frames this as the "asymmetry of design"—it's easy to build addictive tech, hard to build wellbeing tech. Caitlin counters that we may return to the original meaning of "amateur" (from amor, "to love"), where humans find meaning through play, creativity, and what Harvard's lifespan study confirms: quality of relationship and presence. The conversation spirals from platform ethics to post-work society to what first principles we should use when designing XR.

5 Key Takeaways from Caitlin:

• Loneliness is a biological prompt to find another human—not a void to fill with endless content. XR can foster genuine forms of connection without requiring hyper-social performance.
• Dignity-first design unlocks freedom, invention, and agency. When digital spaces prioritize user agency over engagement metrics, people report feeling like they "got their life back."
• Science will soon prove what we already know about fractal patterns in nature and digital signals. The key is designing digital experiences that resonate with how humans biologically thrive.
• The "middle path" between nature and digital is both/and. Gamers building entire lives in virtual worlds can be healthy when those worlds offer creativity, belonging, and meaningful challenge.
• The post-labor economy needs a reset in literacy and values. When AI outperforms human workers, purpose shifts from survival to what makes you feel alive—maker culture, digital fab labs, hands-on creation, and "amateur" pursuits driven by love.

In the News: Oracle, Silver Lake, and Abu Dhabi's MGX close the $50 billion TikTok spin-off deal. Meta cuts Reality Labs by 30%, but CTO Andrew Bosworth says it's moving to AI. The TCL glasses demo 70 grams of lighter, more advanced XR hardware than Ray-Ban Meta—proving that smart spending beats mega-spend.

This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Build smarter at mattercraft.io.

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In this special live episode recorded at SynthBee headquarters in South Florida, hosts Charlie Fink, Ted Schilowitz, and Rony Abovitz bring listeners inside a special gathering of neuroscientists, philosophers, and technologists debating the future of AI. Moving beyond hype, the conversation focuses on "Collaborative Intelligence" vs. Artificial General Intelligence (AGI), exploring whether we are building tools that amplify humanity or autonomous systems that will eventually replace it.

Instead of traditional interviews, the hosts invite workshop speakers to the hot seat for rapid-fire insights on the deepest questions in tech: Can we measure an AI's true intentions? Is consciousness a physics problem? And how do we ensure these systems remain compatible with human flourishing?

News Highlights

• Disney invests $1B in OpenAI & licenses IP: The hosts debate whether this is a masterstroke to engage fans with user-generated Sora content or a "Yahoo powered by Google" mistake that hands the keys to the kingdom to a rival.
• Valve launches new PCVR hardware: A quick look at the attempt to revive the high-end PC VR market.
• Meta adds real-time vision to Ray-Bans: The next step in multimodal AI wearables.

Guest Highlights

• Dr. Uri Maoz (Neuroscientist, Chapman/Caltech): Discusses the "black box" problem of neural networks, comparing the opacity of AI to the human brain, and how neuroscience tools might help us detect deception in AI systems.
• Dr. Walter Sinnott-Armstrong (Ethics Professor, Duke): Argues that ethical AI regulation shouldn't be a monolith; different cultures need "sovereignty of ethics" to allow diverse moral frameworks to coexist rather than one centralized Silicon Valley standard.
• Dr. Julio Frenk (Chancellor, UCLA): Frames the AI race as a battle between "Computational Democracy" (distributed, transparent power) and "Computational Autocracy" (centralized control), warning that universities must preserve critical thinking or risk losing the ability to govern AI at all.
• Reed Maxwell & Laura Condon (Hydrologists, Princeton/Arizona): Reveal how AI is modeling the planet's water crisis, predicting "black swan" climate events, and why funding for this critical earth-science work is mysteriously disappearing.
• Danny M (12-Year-Old Prodigy): Steals the show with a stunningly articulate take on AI consciousness, "trapped man" experiments, and how fractal geometry might map neural weights—proving the next generation is more ready for this future than we are.
• Dr. Aaron Schurger (Psychology, Chapman): Explores the neuroscience of spontaneous action and free will, debating whether "telepathic" connections and quantum effects in the brain could be the missing link for true human-AI compatibility.
• Jared Ficklin (Chief Product Officer, SynthBee): The former Frog Design fellow argues we must shift the conversation from AI "capability" to "compatibility," using the intuitive connection humans have with dogs or horses as the benchmark for successful AI interfaces.

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