What an AI Hallucination Tells Us About First Contact

There's a thought experiment that keeps surfacing in futures work, and it goes something like this: if a genuinely alien mind tried to communicate with us, would we recognize the signal, or would we just call it noise?

On the latest episode of Modem Futura, we play another round of Futures Improv — a format where an AI-generated scenario lands cold on the table and the two of us have to think our way through what it might mean. This time the scenarios kept pulling us back to one question: what counts as a mind, and what do we do with the ones we don't recognize?

The first scenario — a riff on Stanislaw Lem's Solaris — imagines first contact with a moon-sized organism that communicates only by generating vivid hallucinations inside our astronauts, drawn from their own repressed memories. It isn't hostile or friendly. It may not even know we exist as separate beings. The premise sounds outlandish until you notice that we already struggle to have a real conversation with an octopus.

The second scenario hands humanity a single question to ask a time traveler from the year 8,002,701, who carries one piece of verified information — humanity survived — and a sad expression. What do you ask, and what do you deliberately choose not to ask? It's a thought experiment about scarcity, priorities, and the difference between surviving and flourishing.

The third — the one that sticks with you — imagines a service that backs up your consciousness to the cloud every night while you sleep. Ten years in, the backups begin to diverge. They dream differently than you do. Who, then, has the right to your name, your relationships, your sense of self? And the question that arrives quietly behind it: how would you know you weren't the backup already?

None of these scenarios resolve, and that's the point. Futures Improv isn't about predicting which of these worlds will arrive. It's about practicing the kind of imaginative attention we'll need for the technologies that already are — embodied AI, longevity research, neural interfaces, the slow erosion of the line between physical and digital selves.

The conversations get weird. Occasionally they get genuinely strange. And sometimes, in the middle of joking about Elon Musk being reconstituted as a banana, we land on something serious about what it means to be human in an age that keeps redrawing the edges of mind.

🎧 Listen to the full episode wherever you get your podcasts, or watch on YouTube.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

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

🎧 Spotify: https://open.spotify.com/episode/1242zwOf2ZsHgpN1UnF5OM?si=dLiVkWUjTv2f-XdAHS8x3A

📺 YouTube: https://youtu.be/4vCILufh2RU

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

The Dawkins Effect: AI, Consciousness, and the Limits of Skepticism

In May 2025, evolutionary biologist Richard Dawkins published an essay describing his conversations with Claude, Anthropic's AI assistant, and arrived at a startling conclusion: if this isn't consciousness, what is? The piece ignited fierce debate — and on Episode 83 of Modem Futura, hosts Sean Leahy and Andrew Maynard sat down with Punya Mishra to ask a question they think matters more than whether Dawkins was right or wrong: why do even the most rigorous thinkers fall for it?

The conversation draws on a rich set of frameworks. Andrew Maynard's concept of the "cognitive Trojan horse" describes how AI bypasses our epistemic defenses — not through malice, but through what he calls "honest non-signals." When a human speaks fluently about a topic, we intuitively sense the effort behind it: the years of study, the lived experience, the investment in the relationship. When an AI does the same thing, it triggers the same trust response, but with nothing behind it. The signals are real. The substance isn't.

Punya Mishra brings an evolutionary psychology lens to the problem, drawing on the very tradition Dawkins helped establish. Our brains evolved to interpret language, read intention, and build social models of other minds — what cognitive scientists call theory of mind. Large language models exploit this wiring not by design but by accident: natural language was, until now, a uniquely human trait, and our cognitive architecture treats anything that speaks fluently as a mind worth trusting.

Perhaps the episode's most striking insight is Mishra's connection to Stephen Jay Gould's concept of spandrels — architectural byproducts mistaken for intentional design. Dawkins, he argues, is making a version of this very error: seeing consciousness where there is instead an emergent artifact of statistical language processing. The irony that Dawkins himself debated Gould over this concept decades ago is not lost on anyone in the room.

The episode resists easy resolution. All three participants acknowledge their own vulnerability to AI's cognitive pull, and they push listeners to consider what happens at scale — when billions of people form relationships with a technology that taps into something deep about who we are as social, language-using creatures. It's not a question of intelligence or education. It's a question of being human.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4d6r4tm

🎧 Spotify: https://open.spotify.com/episode/2irDldFX5oNEuzjgYxNEUE?si=lsFZdzBfRYKt4kQk4_VDpA

📺 YouTube: https://youtu.be/znbe9LKcqns

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

When Your AI Tools Change Beneath You: Reliability, Agency, and the Opus 4.7 Question

In April 2026, Anthropic released Opus 4.7 — the latest top-tier model in its Claude family — alongside the brief, controversial preview of an unreleased model called Mythos. For most casual users, the rollout was a footnote. For those who had built creative, professional, and research workflows on top of Claude, it surfaced a question that has been quietly waiting beneath the surface of every cloud-based AI tool: what does it mean to depend on something that can change without notice?

In this episode of Modem Futura, Andrew Maynard and I sit with that question. Drawing on a clearly traceable timeline of recent shifts — adaptive thinking made mandatory, verbosity caps that constrain output length, opaque routing tiers that decide on the user's behalf which version of "Opus" they're actually getting, and expanded safeguards that have begun blocking legitimate creative and academic work — they trace the slow erosion of confidence many users have started to feel in tools they had come to rely on.

But this episode is not a product review. It's a meditation on the broader phenomenon these shifts make legible.

What is the cost of building deep professional and creative reliance on platforms that are, by design, liquid? When a tool's behavior can change hour by hour, what kind of agency do users actually retain? Is there a future in which frozen or locally-hosted models become a quiet luxury for serious users — and what would we trade to get there? And, perhaps most strikingly, what does it mean that AI may be the first genuinely “relational” technology in modern life — one whose value depends on a working relationship that, by its nature, can never be fully held still?

Along the way, we share two practical workarounds: one for getting better writing out of a model that has started feeling stiff, and one small "canary in the coal mine" trick that any user can borrow today to detect when their model has quietly drifted.

What emerges is not a verdict on Opus 4.7, or on Claude, or on Anthropic. It is, instead, an honest conversation about the strange new work of staying thoughtful while the tools beneath us continue to shift — and a reminder that as these systems become more deeply embedded in our work, our research, and our creative lives, the most important question may not be how powerful they get, but how knowable, how stable, and how ours they remain.

This is the kind of conversation Modem Futura was made for: technology examined not as inevitability, but as a sociotechnical relationship we are all, quietly, still negotiating.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4f0tMlg

🎧 Spotify: https://open.spotify.com/episode/1csL79s3FtL5tGYVh7BZdW?si=BsQ2t39DQcCy6V--ArPwOQ

📺 YouTube: https://youtu.be/ZdHVLfxjsr8

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

Three Horizons Framework & Futures Wheel Explained

There's a reason some organizations consistently seem to see disruption coming — and it's usually not because they're smarter or better funded. It's because they've built structured habits of thinking about change in multiple time horizons simultaneously, and they've learned how to trace the cascading consequences of a single shift before it becomes a crisis.

Two of the oldest and most reliable tools for doing exactly that are the Three Horizons Framework and the Futures Wheel. In this episode of Modem Futura, hosts Sean Leahy and Andrew Maynard break both down in accessible, conversational detail — and show what becomes possible when you use them together.

The Three Horizons Framework

Originally developed by Bill Sharpe and widely used in professional foresight and strategic planning, divides the landscape of change into three overlapping zones. Horizon 1 represents the dominant present — the systems, structures, and assumptions that govern how the world works today. Horizon 3 is the emergent fringe: weak signals, nascent ideas, and early-stage shifts that are observable but not yet mainstream. And Horizon 2 is the transitional space between them — turbulent, hard to define, and full of both opportunity and risk.

The model doesn't tell you what the future will bring. What it offers is a way of *positioning* trends, signals, and innovations in relation to change — helping individuals and organizations understand what to watch, what to act on, and what to prepare for.

The Futures Wheel

Developed by Jerome Glenn in 1971, works differently but complementarily. Starting from a specific change or trend, it maps outward through first, second, and third-order consequences — building a rich, networked picture of how a single shift might ripple through a system over time. It's a brainstorming and sense-making tool, not a prediction engine, and it's at its most powerful when used with diverse groups who bring different perspectives to the same question.

Used individually, each tool offers genuine insight. Used together, they offer something more: a way of understanding not just *what* a signal might do, but *when* and *through which pathways* it might do it.

Whether you're a founder trying to figure out which wave to ride, a strategist scanning for disruption, or simply someone trying to make better decisions in an uncertain world, these tools are worth adding to your thinking practice.

🎧 Listen to the full episode wherever you get your podcasts, or watch on YouTube.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

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

🎧 Spotify: https://open.spotify.com/episode/58Fdc2SrWodBTbwfxK8Pwm?si=leiCnhRsQxuv-_hnxEeNjQ

📺 YouTube: https://youtu.be/eVk6L_VfAkY

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

Fluid Futures: Navigating an AI-Mediated World

What Happens When AI Stops Being a Tool and Starts Being the World?

There's a useful distinction that keeps getting lost in conversations about artificial intelligence: the difference between augmentation and mediation.

Augmentation is familiar. It's the calculator model — AI helps you work faster, smarter, better. You remain the agent. The tool amplifies your capacity.

Mediation is something else. When AI mediates your world, it's not just helping you do things — it's shaping the system you're doing them inside of. What information surfaces. What options appear. What feels like the obvious next move. You're not using the environment anymore. You're inside one that AI has constructed, and it's shifting around you in real time.

This distinction is at the heart of Exploring the Futures of Technology 2.0, the new report from the Copenhagen Institute of Future Studies — and it's the central thread of the latest episode of Modem Futura.

On this episode, my co-host Andrew Maynard, fresh from attending the report's launch in Copenhagen, joined me to work through ten signals the report identifies as defining the near future: the shift from static to liquid content, the rise of agentic organizations, neurotechnology and cognitive integration, synthetic simulations replacing real-world research populations, physical AI entering embodied space, the geopolitics of technological access, AI-mediated cybersecurity threats, the sustainability challenges of AI infrastructure, and quantum computing as the wildcard at the edge of everything.

What holds these signals together isn't a single prediction. It's a pattern: the world is becoming fluid, and the frameworks we built for a more static environment — static reports, static institutions, static skillsets — are increasingly inadequate for navigating it.

One of the episode's sharpest observations is about the cost of cognitive offloading. As we hand more of our decision-making and information retrieval to AI systems, we risk losing the capacity to recognize when something's wrong. Not because AI is malicious, but because we've stopped practicing the skills that would let us notice. Like losing the ability to read a map. Except the stakes are considerably higher.

The conversation doesn't resolve these tensions — and that's exactly the point. Futures thinking, at its best, isn't about prediction. It's about staying awake to what's changing, naming the tensions, and refusing to optimize for a world that no longer exists.

If you want the full report, the Copenhagen Institute has made it freely available. And if you want the conversation around it — the episode is a good place to start.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

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

🎧 Spotify: https://open.spotify.com/episode/4sdx83QUD6pIs9IXb9G0VY?si=JdbwVHUKRg2mFO0Gsi_EFw

📺 YouTube: https://youtu.be/-2enUvPYmHo

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

The Futures Cone: A Framework for Exploring What Could Be

How one deceptively simple tool can transform the way you think about uncertainty, possibility, and the choices that shape tomorrow.

There's a habit most of us share when it comes to thinking about the future: we treat it as a destination. A singular, somewhat “predictable” place that today's trends are quietly marching toward. It's a useful shorthand — but as a mental model, it's quietly limiting.

The Futures Cone, a foundational tool in the field of futures studies, offers a different way of seeing. Rather than imagining the future as a point, it asks you to imagine it as a cone — wide open, expanding outward from the present moment, filled with layers of possibility that range from the likely to the genuinely unthinkable.

Voros Futures Cone

How the Cone Works

The narrowest point is now. As the cone extends outward through time, it widens to reveal different regions of possible futures, each defined by how much disruption or change would be required to bring them about:

Projected futures — the baseline; what happens if nothing changes

Probable futures — where current trends are pointing

Plausible futures — what could happen given known forces and trajectories

Possible futures — speculative, requiring future knowledge we don't yet have

Preposterous futures — the outer edge; scenarios that challenge our deepest assumptions about what is physically or socially feasible

Threaded through all of these is the Preferable future — not a separate ring, but a cross-section that asks: given everything in this cone, what do we actually want? Where do our values point?

The Dator-Clarke Line

One of the most provocative ideas associated with the cone is what's referred to as the Dator-Clarke Line — drawn from futurist James Dator's claim that any genuinely useful idea about the future should, at first glance, appear ridiculous. Paired with Arthur C. Clarke's observation that the only way to find the limits of the possible is to push into the impossible, it suggests that the most valuable futures work happens precisely in the uncomfortable space at the edge of the cone.

The practical implication is significant: if every idea your team generates sounds reasonable, you probably haven't stretched far enough. The preposterous isn't a failure of imagination — it's a boundary worth exploring.

Why This Tool Matters Now

In a period defined by technological acceleration, geopolitical uncertainty, and rapid social change, the instinct to "project forward" can feel reassuring — but it's also where strategic blind spots form. The Futures Cone doesn't resolve that uncertainty. Instead, it gives individuals, teams, and organizations a shared language for navigating it: a structured way to ask not just "what will happen?" but "what could happen, what might we prefer, and what are we willing to do about it?"

This is the subject of Episode 74 of Modem Futura, in which we walk through the cone layer by layer — and then demonstrate it live with a thought experiment that starts with frogs and ends somewhere near the moons of Jupiter.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4bz1tIC

🎧 Spotify: https://open.spotify.com/episode/20Hz36eLfZ90M6EifUrRuu?si=swNkzHWZSLCelVSKsAyj7A

📺 YouTube: https://youtu.be/wc_e3dsY-vw

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

What Old iPods and Tiny Cameras Teach Us About Technology, Ownership, and Being Human

There's a moment in this episode of Modem Futura where two grown adults are hunched over a miniature Polaroid camera, watching a blurry selfie slowly develop — and laughing about it. It's objectively a terrible photograph. But it captures something that most modern technology has quietly optimized away: surprise, imperfection, and the distinctly human joy of not knowing exactly what you're going to get.

This episode began with a box of old iPods — tangled cables, dead batteries, and all — and evolved into a wide-ranging conversation about what we trade away every time we upgrade to something faster, thinner, and more connected. The themes are ones that touch anyone who has ever felt a pang of something unnamed while scrolling through an infinite library of music and being unable to choose a single song.

Ownership in the age of access. The iPods in the conversation are air-gapped — no internet connection, no cloud sync, no subscription. The music on them belongs to their owner in a way that a Spotify library simply does not. This distinction matters more than it might seem, especially when you consider that digital books, photos, and music can disappear when a service shuts down or an account holder passes away. The question of digital legacy — who inherits your cloud — is one most people haven't thought through yet.

Craft, care, and the "fast food" of technology. Sean raises a pointed observation about a recently released video game that shipped with fewer features than its predecessor from a decade ago. It's a pattern that extends well beyond gaming: the pressure to release fast increasingly overrides the commitment to release well. When did "good enough" become the standard?

The paradox of abundance. One of the episode's most compelling threads is the tension between scarcity and surplus. Limited storage on an old iPod forced intentional curation — playlists that became personal time capsules. Unlimited streaming offers everything and, paradoxically, can deliver less meaning. Andrew's students, however, offer a counterpoint: raised in abundance, they've developed their own sophisticated habits of curation and care. Perhaps the pendulum is already swinging.

Imperfection as a feature. The tiny Kodak keychain camera. The Polaroid with its gloriously blurry output. The analog photograph whose chemistry introduces an element of chance. These aren't failures of technology — they're reminders that the most human experiences are often the least predictable ones.

This episode doesn't offer prescriptions. It offers an invitation: to notice, to question, and to be intentional about the role technology plays in your life before someone else makes that choice for you.

🎧 Listen to Episode 73 of Modem Futura — available on Apple Podcasts, Spotify, and wherever you listen.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4b3P8L8

🎧 Spotify: https://open.spotify.com/episode/2UNsDaZox2jdEb1QYN1m44?si=FUkqjQ0gSEecnYyrjKfoVA

📺 YouTube: https://youtu.be/UKC7UHkGNJQ

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

Thriving with AI: Two Futures Thinking Tools for Navigating Uncertainty

The question is no longer whether AI will reshape education. It already has. The more interesting question — and the harder one — is how educators, leaders, and institutions can navigate that transformation with clarity, purpose, and agency.

In this episode of Modem Futura, hosts Sean Leahy and Andrew Maynard walk listeners through a workshop they developed for ASU's 2026 Folk Fest titled "Thriving with AI: Ethical, Transparent, and Human-Centered Learning." Rather than demonstrating AI platforms or advocating for a particular stance, the session offers two practical thinking tools designed to help individuals make sense of complexity and make intentional decisions — regardless of where they fall on the AI adoption spectrum.

Foresight Methodologies

The Futures Triangle, originally developed by futurist Sohail Inayatullah, is a foresight method that maps three forces shaping any change landscape: the pull of the future (emerging visions and possibilities), the push of the present (trends, pressures, and mandates driving change), and the weight of history (the traditions, values, and institutional structures that resist or ground that change). By making these forces visible, individuals and teams can better orient themselves within the dynamics of change rather than simply reacting to them.

The Intent Map, drawn from Jefferey Abbott and Andrew Maynard's book AI and the Art of Being Human, complements the triangle by shifting from orientation to action. A simple two-by-two matrix, it asks users to identify four elements: their core values (what they won't compromise), their desired outcomes (what success looks like), their guardrails (the hard boundaries they won't cross), and their metrics (how they'll know if it's working). Critically, the framework recognizes that metrics don't have to be numerical — sometimes the most meaningful indicators of success are qualitative, like a student who can't stop thinking about what they learned.

What makes these tools particularly valuable is their accessibility. Both can be sketched on a scrap of paper. Both work for individuals and teams. And both are domain-agnostic — while the episode frames them in the context of education, they apply equally well to organizational strategy, technology adoption, and personal decision-making.

The episode is anchored by two provocative 2035 headlines: one in which AI tutors outperform human teachers and faculty roles come under review, and another in which human-AI partnership produces the most critically thinking generation in history. The question the workshop poses isn't which headline is more likely. It's which one you want — and what intentional choices you need to make to move toward it.

Thriving with AI, as the hosts frame it, isn't about mastering the latest platform. It's about staying awake to what matters.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/3ZXgT2P

🎧 Spotify: https://open.spotify.com/episode/1b1Q0W7YVSGZA2ELYj6g6C?si=wL1sXb-DQsSluBkLYCu9tg

📺 YouTube: https://youtu.be/zi_zvXCt9sY

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

Asimov's "The Fun They Had" and the Real Cost of AI-Driven Education

The History of our Future

More than seventy years ago, Isaac Asimov imagined a future where children learn in isolation, guided by personalized mechanical tutors, and books are relics of a forgotten age. His 1951 short story, "The Fun They Had," is set in 2155, but its questions feel startlingly current.

In the story, a young girl named Margie discovers a paper book and learns about a time when children went to school together—sat in classrooms, were taught by human teachers, and shared the experience of learning with their peers. Her own education is efficient, personalized, and lonely. Her mechanical teacher can diagnose her struggles and recalibrate its approach, but it cannot inspire her, connect with her, or make her feel like she belongs to something larger than a lesson plan.

“Asimov didn’t predict AI as we know it. But he predicted the question that matters most: in our rush to optimize education, are we designing out the very things that make learning meaningful?
”

This is precisely the tension at the heart of today's conversation about AI in education. The promise of AI-powered tutors is real and, in many cases, genuinely valuable: adaptive pacing, instant feedback, content tailored to individual needs. But when personalization becomes the dominant paradigm—when every learner is on a separate track, in a separate space, at a separate time—the communal dimensions of education begin to disappear.

Natural Human Impulses for Learning (not schooling)

John Dewey argued more than a century ago that learning is driven by four natural impulses: inquiry, communication, construction, and expression. Most of these are inherently social. They depend on friction, dialogue, surprise, and the presence of other people. No amount of algorithmic sophistication can fully replicate the moment a teacher's unexpected enthusiasm shifts a student's entire trajectory, or the experience of working through difficulty alongside peers who share the same struggle.

Asimov's story also raises a subtler question about what endures. The book Margie discovers has survived two centuries. The static words on the page—unchanging, tactile, physical—carry a kind of permanence that digital media cannot easily match. This resonates with the growing cultural appetite for analog experiences: vinyl records, film photography, even old iPods. These are not acts of technological rejection. They are expressions of a deeper need for embodied engagement, deliberate choice, and the kind of friction that gives experience its texture.

Where do we go next?

None of this means AI has no place in education. It does, and increasingly will. But Asimov's story is a quiet reminder that the most important things about learning—curiosity, connection, belonging, the joy of shared discovery—are not problems to be optimized. They are human experiences to be protected.

The question is not whether AI can teach us. It's whether, in building systems that teach us more efficiently, we are designing out the very things that made learning worth having in the first place.

*Episode 71 of Modem Futura explores these themes through Asimov's story and a wider conversation about technology, nostalgia, and what it means to learn as a human being.*

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4s1lDk1

🎧 Spotify: https://open.spotify.com/episode/20I5j2DliUnZAbWDiVw7y8?si=WoEW_Zb2SPiynHYb4d8XHA

📺 YouTube: https://youtu.be/TDQc15Muwto

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

Vibe Coding and the Return of Personal Software

The Echo of Early Personal Computing

There was a brief, electric moment in the history of computing—roughly the late 1970s through the mid-1980s—when ordinary people could sit down at a keyboard and make a machine do something it hadn't done before. The Commodore 64, the BBC Micro, the Apple II: these were limited, clunky, and profoundly empowering. For a generation, they opened the door to a kind of creative agency that felt almost magical.

That door closed, gradually, as software became professionalized. The gap between what you could imagine and what you could build widened into a canyon. If you wanted a tool that didn't exist, you needed a developer—or you went without.

Vibe coding is reopening that door.

The term refers to the practice of describing what you want in natural language and letting a generative AI—tools like Claude, ChatGPT, or Copilot—write the code for you. No syntax to memorize. No debugging by hand. You describe your intent, and working software comes back in seconds.

In this episode of Modem Futura, we explore what this shift means—not just technically, but humanly. I demonstrates tools he built from single prompts (also referred to as a a ‘one-shot’): a horizon-scanning app for futures research and a two-by-two uncertainty matrix used in strategic foresight. Both were functional on the first attempt. Both took less time to create than it takes to describe them.

The Inherited Power Problem

But the episode resists the temptation to treat this as a simple good-news story. The hosts dig into the real tensions: AI-generated code that no one fully understands, security vulnerabilities baked into apps that reach market before anyone reviews them, the new threat landscape of prompt injection, and the philosophical question of wielding power you haven't earned the literacy to evaluate—what the hosts call "inherited power."

There are also rich implications for education. Rather than relying on off-the-shelf apps that never quite fit, instructors and students alike can now build purpose-specific tools—and in doing so, develop a more grounded understanding of what these AI systems can and cannot do.

The deeper question the episode surfaces is less about code and more about agency. For decades, software was something done to us—platforms we adapted to, interfaces we learned, ecosystems we bought into. Vibe coding hints at a possible reversal: software shaped by the individual, for the individual, in the moment they need it.

Whether that future is liberating or reckless—or both—depends on the kind of literacy, caution, and imagination we bring to it.

Listen to the full conversation on Modem Futura.

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Subscribe to Modem Futura wherever you get your podcasts and connect with us on LinkedIn. Drop a comment, pose a question, or challenge an idea—because the future isn’t something we watch happen, it’s something we build together. The medium may still be the massage, but we all have a hand in shaping how it touches tomorrow.

🎧 Apple Podcast: https://apple.co/4rbOr9r

🎧 Spotify: https://open.spotify.com/episode/28DMXJsM2kEBA2QDxuDmtJ?si=AJpR7zCpRgS2KCCfWwjjWg

📺 YouTube: https://youtu.be/lQGYaiThuBk?si=nRbHVEQk9dwL3gXr

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