Future of Being Human

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/