Sean Leahy

We Turned One - plus Liquid Media, Work Slop, and the Road Ahead – Episode 53

Year One, Human First: How We’re Building a Relational Future Podcast

When ChatGPT thinks you run a podcast gameshow - this is how it draws you ;)

Fifty‑two straight weeks, many guests, and countless “aha” moments later, Modem Futura just turned one. Instead of a victory lap, we used this episode to do what we always do: invite you into the studio while we make sense of the future—together.

From day one we set out to be relational rather than transactional. That means no polished lectures and no sugar‑coated takes. It means showing our work, making space for genuine curiosity, and trusting that a community grows when people feel like they’ve pulled up a chair at the table. Over the past year, that approach has taken us everywhere—from AI and AGI to bio‑hybrid robots, simulation hypotheses, autonomous mobility (including a Waymo ride‑along), space futures, and media theory, just to scratch the top of the list. Listeners have told us they’re using episodes to kick off team discussions, and yes, we’re even astronaut approved! (Thanks Cady). That’s rocket fuel!

This anniversary episode isn’t just about reflections we also look ahead. We probe “liquid media”—from tools like NotebookLM to Huxe’s 24/7 AI‑generated radio—and ask where convenience ends and exhaustion begins. We talk about “work slop,” the plausible‑sounding but soulless output AI can slip into workflows, and the hidden cognitive tax leaders pay to verify it. And to keep futures thinking playful, we run a “Futures Improv” lightning round: AI pets smarter than real ones? Brain‑to‑brain headbands at work? Meditation‑mandated robotaxis? Jurassic Park on the Moon? The point isn’t to predict perfectly—it’s to stretch how we think so we can exercise our radical creativity. (Maybe this should become a reoccurring segment? - I’ll need to craft up a quick theme song I think… )

What’s on the calendar for next year? Expect deeper dives into human‑centered AI, experiments with spatial and wearable interfaces (Vision Pro, Meta’s glasses), and conversations that foreground care—for people, institutions, and futures worth having. And as Andrew’s new book AI and the Art of Being Human lands, we’ll keep exploring how technology can amplify, not erode, what makes us…us.

Join us:

  • Listen to the anniversary episode and subscribe on your favorite app

  • Comment with one idea we should explore next—or what we should put in the “empty chair” on non‑guest weeks

  • If the show sparked a conversation where you work, tell us how. We’ll highlight examples in a future episode.

If you believe better futures are built through candid, caring conversation, you’re in the right place.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/48oB1QS

🎧 Spotify: https://open.spotify.com/episode/1H29Q1LnP8oL7LER1gS6wa?si=5j97IKzGSjGJFlZSQMS-hg

📺 YouTube: https://youtu.be/FX0DmYgIe0w

🌐 Website: https://www.modemfutura.com/

AI and the Art of Being Human: How to Thrive with AI - Episode 52

Thrive with AI—Without Losing Yourself

What if the question isn’t “Will AI replace me?” but “How do I thrive—with AI—as me?” On Modem Futura we explore the intersection of emerging tech, society, and futures thinking—always with an eye to what it means to be human.

In this week’s episode, we launch AI and the Art of Being Human with guest Jeffrey Abbott—venture capitalist and founder of AI Salon—and go deep on a practical playbook for living and working well with AI. Rather than compete with the machine, the book reframes success around relationships, meaning, and personal dharma, then equips readers with 21 simple tools to move from anxiety to agency. Think reflection prompts you can use today, and a “conductor triangle” that balances data, context, and intuition when making decisions.

We also share how the book was built: co‑created with AI (transitioning from ChatGPT to Anthropic’s Claude), guided by a “shared compass” of Curiosity, Clarity, Intentionality, and Care, and coordinated through a living “lore book” that kept global, cinematic vignettes and recurring characters coherent across chapters. It’s a very human process—one that used AI to elevate craft, voice, and speed, not to shortcut thinking.

Another theme we loved: community. Through AI Salon’s 70+ chapters around the world, people are meeting in real life to explore what AI means for their work, families, and futures. That spirit animates the book’s final call: build intentional, protopian futures together—futures we would actually want to live in—by practicing care, not just efficiency.

Listen now, then tell us: Which tool will you try first? If the episode resonates, share it with someone who needs a nudge from “AI overwhelm” to intentional action.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/42vrbJj

🎧 Spotify: https://open.spotify.com/episode/22Uc1SOdpq4Iuza3wFtXkT?si=fRbsJStYSJigIwBv6EpwsA

📺 YouTube: https://youtu.be/b0xROye7BkI

🌐 Website: https://www.modemfutura.com/

AI in Elementary Education: Teaching Tech to Our Youngest Learners - Episode 51

Teaching AI in Elementary School: Preparing the Youngest Learners for a Digital Future

What happens when a kindergartener feels more comfortable with an iPad than a pair of scissors? Or when a fourth grader wonders aloud whether Alexa is “watching” them? These are not hypotheticals — they are real stories from today’s classrooms, where the line between technology, childhood, and learning is shifting faster than ever.

In our latest episode of Modem Futura, Andrew Maynard and I were joined by educator Tara Menghini, who has spent more than 25 years teaching technology and computer science to K–6 students. Tara’s perspective is invaluable: she sees firsthand how children engage with digital tools, how myths like the “digital native” mislead us, and why teaching judgment and balance is just as important as teaching coding.

A few highlights from our conversation:

The myth of the digital native. Just because kids swipe naturally on a tablet doesn’t mean they understand how technology works — or the trade-offs it creates. They need explicit guidance and context. As I share in pod, from my own anecdotal experience I’ve found that many students who would be labeled “digital native” are less equipped with the skills of learning how the technology actually works and have been satisfied with just accepting its existence as is without deeper inquiry. While younger generations of students might feel more at home just picking up and using (at face value) a digital technology or service - it is by no means a measure of their understanding or literacy with said technology.

Balancing screens and hands-on learning. Tara described how kids light up when coding off-screen through design-thinking and project-based learning. The goal is not to reject technology, but to show that creativity and problem-solving exist both on and off the screen. Screen time is not a zero-sum game - it can be structured and equally as important, all kids (and adults for that matter) are different and can handle varying levels of interaction (yes, I see you at 11 p.m. on your second hour of doom scrolling…) / finding balance is not an instant win - it might take time to find the right amount. A reminder or tip for fellow parents out there with smaller kids - depending on the platform ( Apple or Google, etc.), there are great parental administration controls to help you enforce and control screen time and content for young learners.

Digital citizenship starts young. From group chats to online games like Roblox and Minecraft, students face social and ethical challenges earlier than ever. Teaching consent around photos, navigating online friendships, and recognizing privacy trade-offs are essential life skills.

  • Roblox Parental Controls [website]

  • Nerdy Birdy Tweets by Aaron Reynolds and Matt Davies (a cautionary tale of impacts of making mistakes online and with social media) [Amazon]

AI in the classroom. While her district limits direct hands-on AI use for students under 13, Tara has found creative ways to teach AI literacy — from classroom debates on “Would you rather read with a human or an AI?” to storybooks that highlight what machines cannot feel or know. This conversation raises many thoughts and ideas - and one of those is the open question as to “when is it appropriate to have students directly engage with various AI tools or platforms”? Certainly not an easy question to ask - as the question itself has many variables that are changing - and not all AI tools are the same. Is it okay to use a generative AI platform to create images for a project or story? What about creating language? Or using voice models to bring a historic figure “back to life” to make learning more engaging? Where do we draw the line - who draws said line, and how do we know when we’ve gone too far?

Parents and teachers as partners. Perhaps most importantly, Tara reminds us that preparing kids for an AI-shaped world isn’t just the job of schools, it will take the literacy village. Parents need to understand the tools their children use, ask questions, and engage in open conversations. Fundamentally this is a societal challenge - and one that cannot be placed squarely on the shoulders of an already taxed educational system.

This episode is as much about the future of learning as it is about the future of being human. Kids today will grow up in a world where AI is a constant presence — but it’s the values we nurture, the skills we model, and the curiosity we encourage that will matter most.

Join the conversation:

We’d love to hear your thoughts: when do you think the most appropriate time for kids to start intentionally engaging with AI is?

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/3KqJ4CJ

🎧 Spotify: https://open.spotify.com/episode/6huSRZQxI8SMUu1ja5BO61?si=pQDBzsqzQTqiWGIcGF5mgg

📺 YouTube: https://youtu.be/d1l_X-7ygbM

🌐 Website: https://www.modemfutura.com/

Sloppy Clankers: Is This AI’s Frankenfood Moment? – Episode 50

Sloppy Clankers: Are We Witnessing AI’s Frankenfood Moment?

In the latest episode of Modem Futura, Andrew Maynard and I explore a potential cultural shift that says a lot about where society might be heading with artificial intelligence, and a growing social backlash: the rise of the word clanker.

For those who haven’t stumbled across it on social media sites like TikTok or Reddit, clanker started as a Star Wars term for mindless battle droids. Today, it’s becoming shorthand for AI tools—and increasingly, for the people who use them. Its sibling insult, slopper, has emerged for AI-generated content that feels shallow or mass-produced. At first glance, this may seem like internet silliness. But dig deeper, and it looks like something far more significant: a signal of growing social backlash to generative AI.

We ask a provocative question: could clanker be AI’s “Frankenfood” moment?

Back in the 1990s, a single term—“Frankenfood”—sparked widespread opposition to genetically modified organisms (GMOs), reshaping public perception and consumer habits for decades. Even today, you’ll see “Non-GMO” labels on supermarket shelves, not because of scientific consensus, but because of public unease, mistrust, and a sense of lost agency.

That same dynamic is bubbling around AI. As companies rush to integrate generative tools, public sentiment is turning cautious, even hostile. People are starting to question: Do I trust the content I’m seeing? Is this authentic? Am I being replaced—or manipulated? Labels like “Non-AI” may soon emerge as creators and organizations scramble to signal authenticity.

We also dig into what happens when AI steps into the deeply human spaces of communication and relationships. Should managers outsource sensitive workplace emails to ChatGPT? Should someone rely on AI to write a condolence message? The temptation is real, but the relational costs can be enormous. Outsourcing care, empathy, or creativity risks eroding the trust that makes organizations, friendships, and communities work.

And then there are the legal battles. In this episode, we explore Anthropic’s recent $1.5B settlement with authors whose pirated works were used to train its AI models. It’s a watershed moment in the debate over creativity, copyright, and fair use. Yet it also raises thorny questions: where do we draw the line between inspiration, influence, and appropriation?

So, are we at an inflection point? Will terms like clanker and slopper fade as fleeting memes, or will they crystallize into rallying cries of resistance—like “Frankenfood” did 30 years ago?

As always on Modem Futura, Andrew and I don’t offer final answers, but rather open the space for reflection. These small shifts in language often reveal much larger undercurrents in how we understand technology, society, and ultimately what it means to be human in a rapidly changing world.

Join the conversation:

We’d love to hear your thoughts: do you see clanker as harmless internet slang—or the first sparks of a broader social reckoning with AI? Drop your thoughts—and feel free to borrow this episode in your class, team meeting, or strategy offsite.

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/3KCubgw

🎧 Spotify: https://open.spotify.com/episode/52vm7ThI4AfSPZvINuu3mq?si=xs6G8RnaTtG-pVCewVB_Rw

📺 YouTube: https://youtu.be/2199nHf_PVQ

🌐 Website: https://www.modemfutura.com/

Futures Thinking: Foresight You Can Use – Episode 49

We don’t predict the future, but we prepared for the uncertainties the futures will bring

Ever been stuck in traffic and thought, “Where’s my eVTOL button?” We open this episode right there—and quickly flip the fantasy into a lesson on systems: technologies don’t fix congestion (or most complex problems) unless policy, behavior, equity, and infrastructure evolve with them. From that launchpad, Sean Leahy and Dr. Andrew Maynard unpack futures thinking as a mindset—distinct from prediction—that helps people and organizations navigate uncertainty with agency. They walk through the classic triad of possible, probable, and preferable futures, then translate it into practice: horizon scanning (signals, trends, megatrends), scenario building, and backcasting from a desired 10‑year outcome to concrete actions today. Along the way, they surface guardrails like avoiding “used futures” (inherited visions of someone else’s desired future) and stress‑testing for unintended consequences, especially for vulnerable communities and the planet.

The conversation ranges widely—think SimCity lessons and Mars‑city thought experiments as mirrors for Earth’s complexity; protopian (step‑by‑step better) versus utopian/dystopian frames; and why foresight shouldn’t be a bolt‑on consultancy only, but a capacity embedded across teams. Educators will appreciate a practical take on bringing futures thinking into K–12 and higher ed without “one more thing”: weave foresight into existing subjects to build creativity, inquiry, and resilience. Pop culture helps, too—using films (à la The Moviegoer’s Guide to the Future) creates a low‑stakes, high‑insight space to explore tough issues together. And for those tracking AI’s breakneck pace, the episode doubles as an antidote to future shock—a way to slow down, widen perspective, and choose well‑considered next steps.

Why it matters: Futures Thinking is for everyone - all humans poses the qualities needed to engage in thinking about our collective futures. Whether you lead a product team, a classroom, or a community, cultivating a futures mindset helps you spot weak signals earlier, align around preferable outcomes, and take action that nudges the world toward human flourishing.

Join the conversation:

What “used future” have you noticed in your field? If you were backcasting from a 2035 future you’d be proud of, what’s the first move you’d make this quarter? Drop your thoughts—and feel free to borrow this episode in your class, team meeting, or strategy offsite.

🎧 Listen to the full episode to dive deeper into how films shape our futures: https://apple.co/4nrAIci

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

🎬 What film has changed the way you think about the future? Drop a comment — we’d love to hear.

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/4nrAIci

🎧 Spotify: https://open.spotify.com/episode/1OmUyc6fYdMIZ8thORheOJ?si=ZTQ-ZI7hQzSjNTy3jhjgfQ

📺 YouTube: https://youtu.be/85cTuht_a8k

🌐 Website: https://www.modemfutura.com/

AI, Not AI: Riding the Hype Cycle – Episode 45

Agents at the Peak, Humans in the Loop: Navigating the AI Hype Cycle

Every week brings another “breakthrough” headline—agent modes, study modes, version bumps—and it’s getting harder to tell hype from progress. In this new Modem Futura episode, we take a candid, summer‑mode breather to map where AI really sits on the Gartner Hype Cycle, what open‑weight releases mean for builders, and how to keep the human voice intact when co‑authoring with machines. (Yes, we tried not to talk about AI…and failed—because it’s interwoven into every aspect of human activity now.)

What open weights really unlock

Setting aside the current drama around GPT-5, recent open‑weight releases under permissive licenses are a quiet game‑changer. OpenAI has released a pair of open‑weight models (120B & 20B) under Apache‑2.0 license that you can download from Huggingface. Translation: you can download models, run them locally, and adapt them for your own needs—no cloud required (except o download). With capable personal computers (think Apple’s M‑series) or home-built rigs GneAI LLMs can be run locally on device, and as hardware capacity increases and the sophistication of the models improves, the barrier to entry keeps dropping. The reason this matters is that it enables “garage‑scale” innovation—students, labs, startups, and curious tinkerers can now build for their own unique (or weird), local needs rather than waiting for a platform update.

Writing with AI—and protecting the voice

We also dig into human‑AI co‑authoring. Andrew shares a writer’s perspective—AI can draft moving, polished prose, but a subtle sameness creeps in. The fix isn’t anti‑AI; it’s pro‑craft: re‑introduce your “tells,” rhythm, and variance so readers feel a human mind at work. Think editorial sculpture—chipping away until the voice has texture and life. When even an AI editor flags your draft as “too consistent,” it’s a nudge to put the messiness back in. This is what happens when the pendulum swings too far to one side (perfect AI generated prose) the reader craves authenticity and “style” to which we need to introduce our human-touch back into the machine.

So…where are we on the Hype Cycle?
Whether you’re looking to learn how to interpret this powerful model (tool) or just get some new band name ideas, we explain the curve (innovation trigger → peak of inflated expectations → trough of disillusionment → slope of enlightenment → plateau of productivity) and why agentic AI feels perched at the peak, while day‑to‑day generative AIis edging into the trough—not because it’s useless, but because the shine (over hyped exaggerated claims of impact) wears off and the real work begins (just look at the backlash from GPT-5). Layer in the diffusion‑of‑innovation model and you’ll see different communities (VCs, educators, enterprises) living on different parts of the curve at the same time.

Image source: pasqal.com

Image source: Gartner

Beyond screens: ambient intelligence

We explore the exciting space of spatial/ambient computing and sensing (I even got to briefly mention LANs, WANs, and PANs)—environments saturated with signals (Wi-Fi, Bluetooth, cellular, NFC) that AIs can interpret in ways we can’t. It raises the question of what happens when machines can interpret the data‑saturated world beyond our comprehension and act within it? That’s where “AI‑not‑AI” lives: less chatbot magic, more embedded intelligence shaping everyday environments. That’s both exciting and unsettling: it demands new conversations about design, privacy, agency, and the futures we actually want to build.


If it resonates, help broaden the conversation: subscribe, share with a colleague, and tell us where you place AI on the Hype Cycle—and where you’re craving more human messiness. As we joked in‑studio, Modem Futura is “on the slope of enlightenment—accepting social investment via ratings and reviews


🎧 Listen on Apple Podcasts: https://apple.co/47mypmb

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/47mypmb

🎧 Spotify:  https://open.spotify.com/episode/4ReAdtrV7o8WfxeZ0vaKH9?si=dGnDFD03QiW9A3UiUStEEg

📺 YouTube: https://youtu.be/cfHqBJKnGZo

🌐 Website: https://www.modemfutura.com/

Summer School with AI: Rethinking Learning in the Age of GPT – Episode 41

Summer School with AI: Why “Back to Basics” Isn’t Enough

Why this episode matters? If you’re charting strategy for schools, workforce development or lifelong learning, this discussion offers a candid roadmap—and a few provocative questions—for navigating the next decade of educational transformation.

This month on Modem Futura I welcomed Rachna Mathur, Ed.D. —engineer, artist, lifelong-learner and Senior STEM Strategist at ASU Preparatory Academy—to a scorching‑hot Arizona studio for a free‑flowing “summer session” on the future of learning in the age of generative AI.

Our conversation touches on many aspects of learning and AI, but laser in on the implications of living the “digital world” for learning, partially inspired from the headline that shocked many educators: Sweden’s decision to pull back from screens and re‑embrace handwriting and printed books after seeing declines in comprehension and critical‑thinking benchmarks. We explore the move as an important—but incomplete—signal. We arguee that the real challenge is finding a sustainable balance between analog depth and digital acceleration, not retreating wholesale from technology, and not leaning into a pure technological solution just for technologies sake.

The theme of moderation threads the entire episode. We swap Montessori childhood stories—self‑directed, community‑anchored, and surprisingly common among tech leaders—before examining how that philosophy might translate to AI‑rich classrooms where personalization risks isolation if community norms aren’t protected.

We then fast‑forward 50 years to imagine two stark futures: a post‑scarcity Star‑Trek‑style society of flourishing creativity, or the WALL‑E “hover‑chair” dystopia where humans outsource thinking, writing and even curiosity to autonomous agents. In both scenarios, today’s policy and design choices in K‑12 systems carve the path. Should we double‑down on foundational literacies—or teach students how to audit machine output for bias, hallucination and relevance?

We highlight the rising cognitive load on teachers, who are expected to master every “shiny new doodad” while still wearing a dozen other hats. We discuss realistic guardrails: cell‑phone moderation policies; AI readers that empower dyslexic learners; and iterative, living guidelines that evolve alongside the tech itself rather than one‑and‑done declarations.

Finally, we confront the looming content‑collapse problem (the recursive nightmare that may be building right in front of us): models now train on data increasingly generated by other models, a self‑referential “snake eating its own tail” that threatens originality and human perspective. Our shared conclusion? Educators, parents and technologists must collaborate on a middle path that preserves human agency, cultivates critical judgment, and leverages AI as an amplifier—not a crutch.

🎧 Listen on Apple Podcasts: https://apple.co/4o6LwOc

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/4o6LwOc

🎧 Spotify: https://open.spotify.com/episode/1E9LMkkOTYvTJVwlb6Ey0F?si=ADMbNGEWSUW-Jdx-h0oBsA

📺 YouTube: https://youtu.be/cvxHCJxahlg

🌐 Website: https://www.modemfutura.com/

Summer Movies, liquid media, and alien AI languages – Episode 40

From Popcorn to Paperclips: What Summer Blockbusters Teach Us About an AI‑Shaped Future

With Phoenix broiling at 120 °F, we opened the studio door to a blast‑furnace breeze and a full house of ideas. Episode 40 of Modem Futura is nominally a “summer movies” chat—but the conversation quickly melts into a much richer alloy of cinema, ethics, pedagogy and speculative futures.

A spoiler‑free Superman (2025) debrief kicks things off. Sean relishes Dolby Atmos thunder and crowd‑pleasing cameos while Andrew savors the rare joy of a superhero film that is simply “incredibly fun” without the need to be anything but entertaining.

That sets the stage for the surprise gem of the season: M3GAN 2. (Or more specifically, Andrew’s revelation of how much he enjoyed it). Far from a Chucky retread, the sequel pivots into full‑blown techno‑thriller territory—surfacing neural‑chip debates, AI value‑alignment nightmares and invokes the infamous “paperclip maximizer” thought experiment. The hosts cheekily ask whether investing in AI is humanity’s salvation…or the catalyst for its conversion into stationery.

Movies as stealth pedagogy loom large. Andrew describes his film class where popcorn favorites become Trojan horses for serious reflection; students re‑watch titles with friends and family, eager to dissect ethics and innovation themes they can’t un‑see. Sean and Andrew discuss how the formula works because it lowers the barrier to entry while secretly building critical‑thinking muscle.

From here, just as the movies themselves act as Trojan Horses we get into some deeper ideas:

  • Story archetypes rebooted. Are the classic five conflicts (character vs. self, society, nature, etc.) universal, or will alien machine intelligences invent a sixth form of narrative that we literally cannot grasp?

  • Liquid media & the dead‑internet theory. When every asset can be remixed on demand, text becomes speech becomes video—and bots may already outnumber humans online. How do we preserve authentic signal in an ocean of generative noise?

  • Chaos theory for a networked planet. Eight billion hyper‑connected humans + foundation‑model AI = a complex system hurtling toward new tipping points. Can we always innovate out of disruption—or does that curve eventually outpace us?

The episode closes with a cheeky pitch for Hollywood: “Clippy: Revenge of the Paperclip Maximizer.” Microsoft’s once‑loathsome office assistant becomes the perfect foil for an alignment‑gone‑wrong blockbuster—and a reminder that even silly artifacts can spark serious futures thinking.

Why it matters: Whether you’re an educator looking for sticky teaching tools, a technologist wrestling with alignment, or a storyteller hunting the next frontier, this discussion shows how pop culture can illuminate the biggest questions about being human in an AI age.

🎧 Listen on Apple Podcasts: https://apple.co/3GD73NA

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

Subscribe and Connect!

Subscribe to Modem Futura on a favorite podcast platform, follow on LinkedIn, and join the conversation by sharing thoughts and questions. The medium may still be the massage, but everyone has a chance to shape how it kneads modern culture—and to decide what kind of global village we ultimately build.

🎧 Apple Podcast: https://apple.co/3GD73NA

🎧 Spotify: https://open.spotify.com/episode/2BeXNdntLQlPwsUlKYnO7h?si=Xw7nG8HcQpyydGkb2TCeUQ

📺 YouTube: https://youtu.be/3kTVC4LHeYM

🌐 Website: https://www.modemfutura.com/

Futures of Learning: AI in Education with Punya Mishra – Episode 33

Friction Required: How will a world transformed by emerging technologies like AI reshape the world? Sean Leahy,Andrew Maynard and special guest Punya Mishra cut through the hype to reveal the creative tension, hidden risks, and big-picture futures for AI-powered, human-centered education. How can the power of AI be harnessed without losing the soul of learning?

Friction Required: Re-imagining Learning in an AI World

Generative AI burst onto campuses promising personalized tutoring, instant lesson plans, and anytime feedback. Yet beneath the buzz lies a more provocative question: What, exactly, makes education worth the effort once answers are a prompt away? In this week’s Modem Futura, hosts Sean Leahy and Andrew Maynard sit down with educator-innovatorDr. Punya Mishra to look past the shiny tools and into the messy, human heart of learning.

🎧 Listen on Apple Podcasts: https://apple.co/3ZDH8vg

📺 Watch us on YouTube: https://www.youtube.com/@ModemFutura

Over an energetic hour they explore why purposeful “friction”—the struggle, inquiry, and face-to-face negotiation of meaning—is still essential. Punya and Sean draw on John Dewey’s four impulses—Inquiry, Communication, Construction, Expression—as a compass for designing AI-infused classrooms that amplify (rather than automate) these deep-learning moments. The trio swap stories of chatbots that spark creativity, debate whether banning tools curbs cheating or curiosity, and ask whether transparency beats top-down rules when it comes to academic integrity.

But the conversation zooms further out. What happens when large language models become persuasive co-teachers? Could Universal Basic Income turn learning into a lifelong pursuit instead of a credentialing race? And might universities act as society’s “flywheel”—a deliberate drag that buys time to think before technology rewrites the rules? The answers aren’t neat, yet they underscore a shared conviction: the future of education must be AI-powered and human-centered.

Key Takeaways

  • Friction is a feature, not a bug. Struggle fosters agency, resilience, and creativity—qualities that instant answers risk eroding.

  • Design for Dewey’s impulses. Use AI to scaffold inquiry, amplify student expression, and make thinking visible, not to short-circuit it.

  • Radical transparency > blanket bans. Open dialog about capabilities, limitations, and ethics beats whack-a-mole policies.

  • Cheating vs. caring. Focus on cultivating authentic motivation; surveillance tech alone can’t fix a trust gap.

  • Universities as sandboxes and speed-bumps. Higher ed can prototype responsible uses and slow premature adoption that harms society.

Whether you’re an instructor drafting next semester’s syllabus, a student exploring new creative tools, or a policymaker worried about the automation of learning, this episode offers frameworks—and questions—to keep humans at the center of the AI revolution.

🎧 Ready for the full conversation? Click below to listen or watch, then let us know how you’re embracing (or resisting) AI in your own learning spaces. And if the discussion sparks ideas, consider sharing this newsletter with a colleague—friction loves company!

If you’d like to dive deeper, jump into the link and listen to the podcast or watch the YouTube video. Join us as we explore the forces shaping our collective future and the urgent need to keep human values at the heart of innovation.

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🎧 Podcast: https://apple.co/3ZDH8vg

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