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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:
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
Guest Highlights
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Seventeen years into building the world's largest XR conference, Ori Inbar is not prone to hyperbole. He has watched hype cycles inflate and collapse, made predictions that turned out too optimistic, and learned to hold claims carefully. That is what makes his framing of AWE 2026 worth paying attention to: he calls it the most consequential year in the show's history. Not because everything is working — there have been heartbreaking layoffs in some corners of the industry — but because the convergence happening right now between AI and spatial computing is unlike anything the field has seen before.
Before Ori joins, the hosts wade through a week of signal and noise. Three big IPOs — Cerebras, Quantium, and others — are absorbing investor attention, with Quantium carrying a $15 billion market cap on what Charlie calls "de minimis revenue," raising questions about whether the quantum AI bandwagon has lapped actual quantum utility. Rony poses the challenge directly: what is the real use case for quantum computing besides breaking encryption?
Ted and Rony unpack qubits, superposition, and state-based computing in plain language, with Rony floating the multiverse analogy and the idea that neurons themselves might function as tiny quantum computers. Ted points to Cleveland Clinic's work with IBM as a concrete near-term example. Elsewhere: Anthropic has announced it is close to recursive self-improving AI — which, as Charlie notes, is the textbook definition of AGI. Apple's WWDC is around the corner, promising a Siri overhaul, a folding iPhone, and — per a Rony tease — a secret wearable project he can say almost nothing about.
Google's new Dream Beans app indexes all your files and reads your emails for $70 extra on top of YouTube Premium; Ted cuts through it simply: "It's an ad play." Suno is raising $400 million at a $5.4 billion valuation while still being sued for training on copyrighted music — Rony's investor thesis frames it as AI-generated sound engineered to trigger neurologic adrenaline hits, an addiction feedback loop he calls "musical crack." And Fox is reformatting "Farmer Wants a Wife" into 101 vertical two-minute episodes — Charlie's read is that this may be the moment when video content permanently shifts from advertising-supported to direct-to-consumer.
When Ori arrives, the conversation opens on Snap. Evan Spiegel is expected to make a major consumer announcement at AWE — Ori says Snap has put all their eggs in this basket, and the audience at the show will be the first to see it. Ted frames the stakes plainly: if the price shocks people, it's a consumer breakthrough; if it's expensive and exotic, it stays in the science column. Snap recently acquired Illumix, a spatial universe understanding startup, a move that signals the company is building seriously in this space.
More broadly, Meta's retreat from the metaverse has acted as a talent accelerant — hundreds of experienced XR engineers are now building independently, and the resulting Cambrian explosion of content for both AI glasses and AR glasses is just beginning. Ori points to Supernatural spinning off from Meta at a fraction of what the company paid for it as a symbol of a broader reset: the talent is free, the tools are ready, and the content is coming.
The tools argument extends to development itself. Ori built a working AR prototype — he describes it as a "chat with animals" experience — in two days using Gemini in the backend. Vibe coding for spatial computing is no longer theoretical. Unity has added it. Google is building game worlds by prompting them into existence. Ted's broader thesis: AI has learned from game engines well enough that it may not need them for 90% of use cases — a provocative observation for an industry built on Unity and Unreal.
AWE's show floor this year reflects how much is happening at once: 250 exhibitors, a dedicated smart glasses pavilion, 25 studios and LBEs launching new games, the first-ever art festival with a single juried winner, research paper posters bridging academia and industry for the first time, a digital twins pavilion, and 300 enterprise attendees expected. Ori calls it "almost 10 festivals in one." The iSpatial theme — deliberately constructed as a counter to iRobot — puts humans at the center of spatial AI. Ori was using the phrase "spatial AI" years before the current AI wave hit; he had called it "SPAI" in a pandemic-era keynote. His three biggest XR trends of 2026: AI smart glasses, AI-generated content for glasses, and world models colliding with XR.
The endgame vision comes from Rony: Oakley-weight wraparound glasses at 30–40 grams, human retina resolution, full indoor/outdoor capability, AR and VR combined, wireless, all variable focus, under $500. Ted adds that it also has to land under $650 fully costed at retail. Ori's honest answer: "I promised myself I'm not gonna predict when this happens. I've tried many times and was always way too optimistic." Ted teases Gixel, a German startup he and Rony are involved in using non-waveguide display technology already above 60 pixels per degree — when you put the prototype on, he says, it is crystal clear.
Defense is the fastest-growing vertical at AWE. Healthcare, manufacturing, aerospace, and automotive are major enterprise sectors. Digital twins are the biggest thing in enterprise XR right now, with world models emerging as the intelligence layer sitting beneath them. Over 10 million AI glasses — display-free — sold last year. Ori's framing of why display glasses matter more: AI is shifting these devices from tools that help you learn about things to tools that actually do things.
Key moments:
So what? The XR field has spent years promising a future that kept receding. What this conversation makes plain is that the receding has stopped. The content is coming, the hardware is multiplying, the development tools have dropped the floor on what it takes to build, and the enterprise use cases are no longer pilot projects.
AWE 2026 is a snapshot of something already underway.
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Jonathan Rodriguez Cefalu built the hardware that Snap shipped on people's faces — first the camera-only Gen 1 Spectacles, then the Gen 4 display version. His path through Stanford CS, an honors thesis on varifocal display optics, and a startup called Vergence (named after the vergence-accommodation conflict in AR) led him to Snap, and then to the problem he is working on now. Preamble AI exists to prevent the worst possible AI outcomes — starting with a class of attack that Preamble was the first to publicly demonstrate: prompt injection.
Ted Schilowitz hosted this episode solo. Together, he and Jonathan worked through the architecture problem sitting under every AI assistant being deployed at scale right now: large language models see one token stream. There is no separation between what the developer intended and what an untrusted email or web page is quietly instructing the model to do. With Gemini Spark about to give AI agents access to tens of thousands of emails per user, this is not a theoretical concern. Jonathan's team has a proposed fix — and they have already shaped federal law.
The episode also covered the week's XR and AI news: Google I/O announcements, Snap Spectacles Gen 6 details ahead of AWE, Matthew Ball joining Xbox, Anduril's battlefield AR wearable, and AI-generated feature films reaching Tribeca.
AI XR News You Should Know:
Google unveiled Gemini Spark at I/O — a persistent AI agent integrated across Gmail, Docs, Chrome, and workspace tools, now in beta for paid subscribers. Ted and Jonathan tested pre-Spark Gemini Gmail and found it searched roughly 30 emails when asked to search tens of thousands. "It just got lazy." Both came away cautiously pessimistic about agentic reliability at scale. XREAL Project Aura was also announced — birdbath optics connected via USB-C — solid engineering but not new ground. Android XR is spending heavily for incremental progress.
Snap Spectacles Gen 6 is expected to preview at AWE in mid-June at around $2,500. Jonathan led Gen 1 and Gen 4 from the inside and broke down what Snap has genuinely solved: low-energy on-device 6DoF tracking, hand tracking, spatial mapping, and multi-device sync. The Lens Studio developer ecosystem is healthy, with a Unity scene auto-converter recently open-sourced. His read: Snap does more with less. Meta does less with more, and it traps talented researchers — like Douglas Lanman — inside labs where work never ships.
Matthew Ball was named Xbox Chief Strategy Officer. Anduril revealed EagleEyes, a battlefield AR wearable with an 84-degree field of view and thermal imaging built for helmet integration. Ted's reaction: scary but fascinating. Both hope the smart people behind it are pointed toward good outcomes.
At the AI on the Lot conference in West LA: Amazon previewed an AI-assisted animated children's series called Project Nara. Higgsfield screened "Hell Grind" — a 90-minute AI action film made by 15 filmmakers, 16,000 video generations, and $500,000 total (roughly $400,000 in compute). Paul Schrader came out as pro-AI. "Dreams of Violet," a 75-minute AI feature about Iranian resistance, premieres at Tribeca on June 10 — total cost: $2,000, production time: two months. Jonathan's take: it is sad when AI displaces human creative talent on screen, but thrilling when imagined through AR glasses making a morning commute feel like driving alongside the ocean.
Key Moments:
So what: Every AI assistant being deployed right now — including the ones about to read your email — operates on a flat token stream with no built-in trust hierarchy. Prompt injection is not a future risk; Preamble demonstrated it years ago.
The question is whether the companies shipping agentic AI at scale will build protections before the attacks become routine. Jonathan's work is happening on two fronts: the technical architecture and the policy layer.
The NDAA provision is proof that the second front can move faster than most people expect.
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Charlie Fink, Ted Schilowitz, and Rony Abovitz take the full hour to work through the most consequential AI and spatial computing stories of the moment — unfiltered, in depth, and without the usual polite hedging that comes with having someone on to promote something. This is a pure news and commentary episode, and the news is strange enough that three experienced people sitting in a room still cannot fully account for it.
AI XR News You Should Know:
The OpenAI vs. Elon Musk case concluded without a clear ruling, but the more durable observation is what the whole saga revealed about Sam Altman. He has now survived being ousted by his own board (which he subsequently dismantled), a high-profile lawsuit from Elon Musk, and senior rivals leaving for government roles. Rony frames this through the Overton window — Altman studies what society is prepared to accept at any given moment and positions himself precisely there. Ted references a New Yorker profile that describes Altman as having a politician's gift for telling people what they want to hear until it becomes true. The question hanging over that observation: are the large language models themselves doing the same thing, reflecting the values and methods of the people who built them?
The financial architecture underneath the AI boom looks precarious on close inspection. SpaceX, widely assumed to be profitable, is losing five billion dollars a year. Anthropic is spending three dollars for every dollar of revenue it generates — and is paying SpaceX approximately one billion dollars a month for compute through roughly 2030. Rony's framing lands hard: two money-losing entities are funding each other while NVIDIA captures all the margin in between. Sequoia published a fifty-page analysis arguing the economics cannot work — while simultaneously holding positions in the companies it is critiquing. Charlie calls it a Ponzi scheme for venture money. Ted's counterpoint: the company that cracks the ad-supported free tier wins everything, and Google already knows how to do that.
Google I/O delivered less on wearables than expected, but the real story was a deliberate strategic decision to put Gemini at the center of the company's entire product surface — effectively cannibalizing an eighty-two-billion-dollar search business before a competitor does it for them. The Innovator's Dilemma, run on purpose. On the hardware side, Android XR glasses are designed to be imperceptible as technology — thin temples, hidden camera portals, frames that belong in an optometrist's display case rather than a trade show floor. Rony notes that Google's glasses almost certainly incorporate Magic Leap optics, following a partnership announced in fall 2025. The accountability conversation runs through all of it: Ted's observation that AI companies are not building airplanes — and therefore carry none of the legal liability that comes with critical infrastructure — gives shape to a broader anxiety about who is keeping the ledger on what these systems actually do to people.
So what? The through line connecting every story in this episode is the question of accountability — who is keeping track, who has the standing and vocabulary to push back, and what happens when the answer to both questions is nobody. Sam Altman's resilience, the AI funding loop, Google's search gamble, the campus backlash, the airplane analogy — all of it points to an industry moving faster than the systems designed to check it. That may be fine. It may not be.
Charlie, Ted, and Rony do not pretend to have the answer, but they ask the question harder than most.
This episode is sponsored by Zappar and Mattercraft. Mattercraft is Zappar's web-based platform for building augmented reality experiences without an app. Find them at mattercraft.io.
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Joshua Pantony spent years being told there would never be a viable AI company in his lifetime. He sold his first AI company to Microsoft anyway — work that quietly became part of what is now Microsoft Copilot. Today he runs Boosted AI, an agentic platform serving more than 400 institutional investors who collectively manage around five trillion dollars in assets. He is one of the most credible voices in applied AI finance, and his read on where the industry is heading cuts through a lot of noise.
The conversation covers what it actually means to deploy AI in professional investing — not the demo version, but the one that has to earn trust from portfolio managers who have built careers on discretion and judgment. The platform learns each investor's individual style and then acts like a highly motivated junior analyst who never sleeps: constantly surfacing ideas, flagging risks, and improving the workflow without ever taking over the decision.
Josh also unpacks why the Bloomberg terminal is facing its BlackBerry moment, why the technology moat is effectively dead, and why the next durable advantage in finance will come from human trust networks that no model can replicate. Ted Schilowitz and Rony Abovitz join host Charlie Fink with sharp frames throughout — Rony's observation that the innovator's dilemma is now a high-frequency problem landed hard.
AI XR News You Should Know: The episode opens with two news segments covering AWE 2026 and the Snap Spectacles keynote with Evan Spiegel, the Samsung Galaxy Glasses debut, Gemini rolling out as Android's native agentic AI, the Cerebras sixty-billion-dollar IPO, and what an AI filmmaking company launched by the creators of Instagram Stories tells us about the future of short-form content. The conversation about micro-dramas, why Quibi failed, and what sixty percent of social media users now say about their own feeds leads directly into the trust themes that run through the entire episode.
Key Moments:
This conversation is a clear-eyed look at what it takes to build AI that professionals actually adopt — not a pitch, not a thought experiment. Josh's framing of Wall Street as the greatest collective intelligence humanity has built, and his argument that AI can finally make capital allocation genuinely more efficient, gives the episode an ambition that goes well beyond fintech.
The question of what survives automation — and what only humans can do — runs underneath every answer.
This episode is sponsored by Zappar and Mattercraft. Mattercraft is Zappar's browser-based augmented reality creation platform — build and deploy WebAR experiences without an app, at mattercraft.io.
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As director of Keyhole, Dave Lorenzini delivered the 3D Earth zooms that ran on CNN during the 2003 Iraq War — netting five million users in a month. Sergey Brin was one of them. Google bought the company and poured in billions to build, fuel, and serve maps. As Google Earth, it forever changed how we relate to space.
From there: pioneering work on Google Glass, AR platforms, and running an immersive XR lab in Europe for Draw & Code exploring the future of spaces, places, and faces. Today Dave directs Quantum Studio, building World Agent and 4D ID — the "DNS for real space," an addressing layer where every place, object, and moment gets a name AI systems can agree on. His thesis: the next decade of AI won't run on better maps. AI needs an operating system for reality. Not a map. Not a database. A living, queryable foundation where every place on Earth answers for itself.
AI XR News: The OpenAI vs. Musk trial continued with damaging testimony from Mira Murati and Greg Brockman. Anthropic struck an unholy alliance with xAI's Colossus compute. GameStop bid for eBay. Colin Angle is back with Familiar, an AI robot pet. Coinbase cut staff. Ask.com finally died. VRChat hit 100,000 concurrent daily users in Japan.
Key Moments:
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The AI XR Podcast had a massive news week and one of its best guest conversations of the year. Caspar Thykier and Connell Gauld, CEO and CTO co-founders of Zappar, joined Charlie Fink and Ted Schilowitz to talk about something deceptively simple: helping people find stuff.
Zappar's new product, Spaces, is app-free indoor navigation built on the web. QR code or link in a meeting invite — your phone shows AR breadcrumbs to the nearest restroom, the right meeting room, the hospital ward three floors away. No app download. No specific hardware. No Azure dependency. Caspar put the pitch simply: it's fundamentally just helping people find stuff. Connell's vision: the same technology running in glasses indistinguishable from a regular pair, within four to five years.
AI XR News: Elon Musk's $135 billion lawsuit against OpenAI went to trial in Berkeley. OpenAI's IPO may be pushed to 2027 over its CFO reporting structure and $600B CapEx problem. Meta is laying off 20% of its staff in two waves. Google earnings were up 10% while Meta got punished. Freepik rebranded as Magnifi with $230M ARR and a million paid subscribers. Samsung announced displayless AI smart glasses. Google partnered with Gucci for another AI glasses play. And Google put $40 billion into Anthropic.
Key Moments:
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Akash Nigam has been building Genies since 2017 with a conviction that avatars will be the visual layer of the internet. As CEO of Genies, he's assembled IP partners including the NBA, MLB, Sanrio, and Kakao, with more major studios and agencies set to announce before the end of May. The pitch: every app, game, website, and celebrity is going to have an AI personality. Genies wants to be the framework that gives all of those personalities a face.
What separates Genies is portability and scale. A character that took eight weeks in 2021 now takes ten minutes. Staying stylized rather than photorealistic isn't just aesthetic — it's what got Hollywood to the table. Talent doesn't want deepfakes. They want a Genie: trained on private IP data, capable of one-on-one fan relationships that make Instagram feel thin.
AI XR News: Tim Cook stepped aside as Apple CEO with hardware chief John Ternus taking over. Humanoid robots ran a half marathon in Beijing while a Sony robot defeated professional table tennis players, opening a conversation about Chinese robotics capabilities and AI data infiltration risks the US is still underestimating.
Key Moments:
If AI personalities are going to be everywhere, what do they look like? Akash has been building the answer for nearly a decade. Q3 is when it goes live.
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Alan Lasky arrived at the AI XR Podcast straight from Las Vegas ahead of NAB. An MIT Media Lab graduate under Nicholas Negroponte, a veteran of Silicon Graphics and Amazon Web Services, and an advisor to investment banks on AI and media, he brings technical depth, industry history, and financial realism about where media is actually going.
The conversation covers Hollywood's structural collapse, AI's role in the production renaissance, and the harder question of why trillion-dollar tech companies keep buying media businesses that can't generate comparable returns.
Alan's answer: soft power. Amazon makes $950 million Lord of the Rings spinoffs so you order more paper towels. Apple is making Neuromancer. His five-year weighted moving average of Disney stock — flat from 2018 — makes the argument clean.
AI XR News You Should Know: Artemis ignited a new space boom. Amazon acquired Global Star satellite to build Project Kuiper, a direct Starlink competitor. Apple's AI audio smart glasses are reportedly arriving this year per Mark Gurman at Bloomberg, entering a market where Meta owns the optometrist channel and Google is moving through Warby Parker. Snap laid off 15% while doubling down on the 2026 launch of Spectacles — the first see-through headset since Magic Leap.
Key Moments:
Alan's closing frame: he grew up reading Gibson and Brunner in the eighties, excited to live in that world. He's in it. He's not sure he wanted it this way.
This episode is sponsored by Zappar and Mattercraft — the leading visual development environment for immersive 3D web experiences, now with AI-assisted design and debug. Build at mattercraft.io.
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From the publisher's feed
Get the inside story on the biggest tech developments from founders, former executives, and industry veterans who built companies like OpenAI, Google DeepMind, Meta Reality Labs, Apple…
Join Charlie Fink (Forbes), Ted Schilowitz, (Red Camera, Fox, Paramount Futurist) & Rony Abovitz, (founder Magic Leap).as they interview startup CEOs, ex-Google/Meta/Apple insiders, Hollywood directors, and AI researchers reshaping spatial computing.
Every week we break down the latest tech news with our signature hot takes, then dive deep with a founder or industry leader. We cover artificial intelligence breakthroughs, virtual reality hardware, augmented reality applications, synthetic media tools, and how enterprises are adopting these technologies.
We're industry insiders who have the connections to get the biggest names on the show, but we're not afraid to ask the tough questions about where big tech is heading. Our guests trust us because we've been in their shoes.
Listen now to get ahead of the next wave of computing.
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