So he clicked through to the next video on the same channel. The same IMF official sat in the same room, wearing the same shirt, in the same pose. But he had a completely different voice and accent.

That moment of dissonance — the moment Asim called his wife over to confirm he wasn’t going mad — is where Season 2 begins. The whole video, it turned out, was AI-generated. The person didn’t exist in the way he appeared to. And the really unsettling part? If that second video had used the same AI voice as the first, Asim would never have known.

Welcome back to House of Life. We’re kicking off Season 2 exploring the nature of truth in a post-truth world.

This is not a new crisis

We tend to think of fake news and misinformation as a recent crisis. But deception is as old as human beings. What’s genuinely new — and genuinely alarming — is the collapse of what Asim calls the epistemic backstop.

For most of recorded history, if you wanted to establish that something happened, you needed testimony. And testimony, as Asim explains in this episode, was deeply shaped by class and social hierarchy. A general’s account outweighed a gardener’s, not because it was necessarily truer, but because of who was doing the talking. This was the world that the ancient Athenian concept of isagoria was designed to push back against — the idea that the argument itself should matter more than the status of the person making it.

Then came recordings. Audio tapes, photographs, CCTV footage, video. Suddenly there was an independent category of evidence that didn’t depend on who you were. A gardener’s home video could disprove a minister’s alibi. A voice recording could be played in court. The playing field tilted — and perhaps, as Asim suggests, it quietly helped chip away at class society in ways we’ve never fully credited.

That backstop is now gone. Completely and permanently.

“I don’t think people have fully grok’d yet that it’s gone,” Asim says. “There’s no ability for us to trust anything.”

The Liar’s Dividend

The playing field is now being tilted again and it brings to the surface a dynamic that we rarely talk about: the liar’s dividend. It describes the other side of the AI-generated content problem — not just that fake content can be created, but that genuine content can now be dismissed.

If a recording emerges of a powerful person saying or doing something damning, all they need to say is: it’s AI generated. The technology that creates false evidence also provides a built-in defence against real evidence. It poisons the well in both directions simultaneously.

This is why the collapse of trust in institutions and the rise of AI-generated content form such a dangerous combination as they create a negative reinforcement loop.

So how do we beocme more aware of what is real and what is not?

Nothing is perfect

There’s a strange paradox at the heart of how AI content gets detected. The very thing that makes AI videos so compelling — the flawlessness of delivery, the unbroken eye contact with the camera, the 30-minute monologue without a single “um” — is also what gives them away.

Human beings are imperfect. We look away, we lose our train of thought, we stumble over our words. When Asim rewatched the fake IMF video with fresh eyes, he noticed the eyebrows moving almost algorithmically — precisely timed, a fraction too consistent. The eyes never drifted. Real people talking to cameras, as Tom and Asim both know from experience, just don’t behave like that.

Asim finds both irony and hope in this. “These AI-generated videos are just so perfect,” he observes, “because that’s the way we’ve been taught by the algorithm to be perfect.” The race for views, likes, and engagement trained human creators to cut pauses, tighten intros, and optimise every second. AI then learned from all of that optimised content — and produced something uncannily frictionless.

But perfection, it turns out, is a tell.

We want to believe

The episode takes a detour into AI-generated music, that illuminates something profound about why authenticity matters beyond just accuracy.

Tom describes hearing AI-generated songs played by a friend. They were genuinely beautiful and he felt emotionally touched by them in the moment. But he hasn’t gone back to listen again. There’s something he calls an “icky feeling” that he can’t quite shake.

Asim’s framing is sharper: music with real lyrics and a real singer is testimony. You’re not just hearing sounds that are pleasant — you’re hearing someone’s experience of heartbreak, or joy, or grief. You’re entering into relationship with a person’s interior life. We want to believe the human story that we have told ourselves about what we are listening to. When you discover the song was artificially generated, that relationship turns out to have had no one on the other end of it. It feels empty.

This maps onto something important about the AI news video too. The reason Asim felt so cheated wasn’t just that he’d been misled — it’s that he thought he was connecting with a real expert’s hard-won knowledge. The illusion of testimony, it turns out, is not the same as testimony itself.

Note: Checkout the note at the end of this post for an ironic twist on this part of the conversation.

Don’t mention the Moon!

In one of the episode’s more audacious tangents, Tom raises the question of the upcoming moon landing — and what it means to plan a return to the lunar surface at precisely the moment that photorealistic AI video generation has become viable.

He’s careful: he’s not saying it will be faked. But the question is genuine and unsettling. If a group of people had the technological capability to simulate a moon landing convincingly right now, those people would include the same governments, space agencies, and technologists currently involved in the actual mission. “How will we know?” Tom asks.

Asim’s response is to wonder whether pre-AI evidence might acquire a kind of sacred status — things we know were recorded before the inflection point might be trusted in ways that post-2024 footage simply cannot be. History could effectively split into two epistemic eras: before the models, and after.

So, how do you know this podcast is real?

The episode ends not with despair but with a kind of productive defiance. Both Tom and Asim arrive, from different directions, at the same place: imperfection as proof of humanity.

Asim describes his own evolving approach to social media. He uses AI constantly in his research, but when he writes and posts, he wants it to sound like him — the slightly odd sentence structure, the run-on clauses, the things that don’t quite land perfectly.

“What makes you you isn’t your perfection,” he says. “It’s your mistakes. And the unique ways that you make your mistakes.”

Tom draws a parallel with independent restaurants. A chain can simulate the aesthetic of an independent café — exposed brick, mismatched chairs, quirky signage — but there’s always something that feels off, because the real character of a place comes from an actual human being who actually lived there and made actual choices. You can’t manufacture that across 50 locations.

The same, they think, might be true online. AI will produce an ocean of frictionless, optimised content. And some people will be perfectly happy swimming in it. But increasingly, others will seek out the rough-edged, wandering, imperfect thing — not despite its flaws, but because of them.

If you’ve listened to House of Life before, and especially if you have watched the videos, you’ll know that it has been intentionally imperfect from the very beginning. That’s how you know this podcast is real.

Tell us what you think

As always, we’d love to hear your thoughts. Have you been fooled by AI-generated content? Do you find yourself seeking out imperfection as a signal of the real? And do you think the information matters more than the form it comes in — or are they inseparable?

Leave us a comment on Substack, and if you enjoyed the episode, we’d be very grateful if you liked, restacked and shared it with people you know.

Big thanks

- Tom and Asim

Oh, and a little twist…

Dancing off the discomfort of AI

Having talked in this episode about how AI generated music could be simultaneously really good music and at the same time feel somehow empty, Tom unexpectedly got inspired by a dream he had and wrote an album of his own, by hand, then used AI to produce the finished music so that he could listen to his own songs.

This turned out to be transformative, as there was now a human soul behind the words, which were deeply meaningful (not to mention funny). The album was unexpectedly incredibly well received by many people who resonated with the words and also enjoyed the quality of the music production.

In some ways this isn’t radically different from electronic music production, which Tom has actually been studying, but it is radically easier. It’s interesting to note therefore that while many deeply enjoyed the album, there is a segment of people who are resistant to listen to it if they know that AI was used in the production.

Tom follows the principle of wanting to be transparent and honest, but does social resistance create a perverse incentive to conceal use of AI? In a world where AI is increasingly pervasive, it’s a question we surely need to think about.

You can read the background to Tom’s album, Stealth Defenders of the Status Quo on his other Substack, Humanitas et Machina.

It contains tracks such as Sand Ramp Pyramid, Meat Suit Immortality, the controversial Double Slitted Skirt, the Buddhist anthem Bins and Taxes, and Tom’s love song to humanity, Total Eclipse of the Truth.

Listen to it (and read the lyrics) on most major music apps such as Spotify, Apple Music and Youtube Music. And here it is below.

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Onwards, to the new season…

What are we covering in Season 2?

In this next season, we’re exploring the nature of truth and whether it really matters.

Last year we found many parts of our society’s mainstream narratives that don’t quite stack up, leading Asim to ask:

What if everything we’ve been told is a lie? Not necessarily a conspiracy, it could just be stories that got repeated so often they started to be treated like facts.

This wasn’t an entirely new revelation, but something that had been unfolding for a few years:

And once you see one crack, you start seeing them everywhere. In the official stories, in the things we’re told are crazy that turn out to be true.

So Asim asked if this season we could pull on some of those threads, poke around, and see what falls apart.

For Tom, this seasons topic is less about the lies and more about:

How do we live in these times of uncertainty?

AI, information overload, polarisation of seemingly everything.

He doesn’t think the answer is finding the “right” narrative to cling to. His hypothesis is that we need to learn how to hold multiple possibilities and contradictions so that we can transcend polarisation and find balance in an unbalanced world.

So I want to explore how to think, feel, and live well when nobody really knows what’s going on. Without losing our humanity in the process.

So we’ll be exploring the nature of truth, in a world where it seems increasingly difficult to see clearly. We’re not here to debunk. We’re not here to take sides. We’re just two friends asking questions, poking fun at serious topics, and trying to figure things out.

In the first episode of Season 2, coming soon, we’ll be asking how you can tell if this podcast is even real. There might be some clues in the trailer video!

So we invite you to join us in House of Life, Season 2.

You might immediately dismiss any discussion of UFO’s (or UAP), but we start this discussion from the fact that there have been a number of US congressional hearings on the topic, a new bill going through congress called the ‘Unidentified Anomalous Phenomena Disclosure Act of 2025’ and a growing number of government officials speaking publicly about the subject, notably in the recent documentary The Age of Disclosure. If we’re serious about exploring the depths of sustainability then, this is a topic that we need to explore with open minds, even if it is still speculative at this time.

In particular we consider what advanced propulsion systems might reveal about alternative energy sources such as zero-point energy — a potentially unlimited, clean energy source. We discuss how access to energy is fundamental to human civilisation, with Asim referencing economist Steve Keen’s thesis that energy, not GDP, is the real currency of the world — explaining wars, politics, and quality of life.

We ask whether breakthrough energy technology could revolutionise sustainability: from cleaning up pollution and restoring ecosystems to eliminating resource conflicts. Tom suggests that if we could harness “creative” rather than “destructive” energy — organising matter instead of blowing it up — it could solve problems the environmental movement has struggled with for decades.

And then there is the question of suppression. If such an energy technology was possible, would the multi-trillion dollar fossil fuel industry, or even the nuclear and renewable industries, allow it to make them obsolete? We dig into this question.

Finally, we discuss the question of whether UFO disclosure would actually change anything. Would humanity actually care if aliens were confirmed, or would just become another TikTok meme? Would unlimited access to energy change how countries behave and eliminate wars over resources? Or would the same dysfunctional behaviours continue to play out? Tom highlights physicist Hal Puthoff’s suggestion that contact might teach us “what it means to be human” in ways more profound than any technological advancement, but Asim isn’t convinced.

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If you’re curious, have a listen and leave us a comment to let us know what you think about the potential of this topic to expand our thinking on sustainability and human progress.

And if you enjoy it, we’d be grateful if you like and share it on your preferred platform. Thanks!

The CIA Polygraph Expert and the Houseplant

In February 1966, a CIA polygraph expert named Cleve Backster was working late in his New York office when he did something weird. Backster wasn’t some fringe character - he’d helped establish the CIA’s interrogation program and founded one of the world’s leading lie detection schools. But that night, on a whim, he attached his polygraph electrodes to a plant. A Dracaena he kept in the corner.

He wanted to see if he could measure how long it took water to travel from the roots to the leaves. Standard curiosity from a man who spent his life measuring stress responses.

What happened next, gives me goosebumps.

When Backster just thought about burning one of the plant’s leaves - before he’d done anything, before he’d even moved - the polygraph needle spiked. The same fear response he’d seen thousands of times in human subjects undergoing interrogation.

A plant. Responding to a thought.

Backster spent the next decades expanding his research. He polygraphed eggs. Human cells scraped from people’s mouths - then moved miles away from their donors, still responding when the donor experienced stress. Amoebas. Paramecium. Sperm cells. Everything he tested seemed to exhibit what he called “primary perception” - a cellular-level awareness that shouldn’t exist according to our understanding of biology.

The scientific establishment rejected his findings. Replication attempts failed. His methodology was criticized. He was dismissed as a crank who’d wandered too far from legitimate science.

But here’s the part that rarely gets mentioned: Backster’s research didn’t just disappear into obscurity. In 1972, a physicist named Hal Puthoff at Stanford Research Institute circulated a proposal about quantum biology. A copy was sent to Backster in New York. Ingo Swann, an artist who had been collaborating with Backster on his plant consciousness experiments, happened to see Puthoff’s proposal during a visit to the lab. He wrote to Puthoff suggesting they explore parapsychology.

Within weeks, CIA representatives arrived at Stanford. They were concerned about Soviet research into similar phenomena. What followed was the Stargate Project - a multi-decade, multi-million-dollar classified program investigating remote viewing for intelligence applications. The CIA spent over twenty years studying consciousness phenomena that mainstream science said couldn’t exist.

A man hooks a plant to a lie detector. The government spends decades quietly investigating what he found. We’re still arguing about whether consciousness can exist in unexpected places.

The Paper I Couldn’t Stop Thinking About

Tom and I have been talking about consciousness a lot lately. Not in the abstract, philosophical sense - in the immediate, practical sense of the AI systems we interact with every day.

Last month, I stumbled upon a paper that I couldn’t stop thinking about. It’s titled “There Is No Such Thing as Conscious Artificial Intelligence.” Published in AI and Ethics, peer-reviewed, the whole bit. The authors - Porębski and Figura - declare with absolute certainty that AI consciousness doesn’t and cannot exist.

What caught my attention wasn’t their conclusion. It was their motivation.

They’re refreshingly honest about it. The paper argues that determining AI isn’t conscious “greatly simplifies things” for regulation. They want the question settled “at the outset” so it doesn’t keep arising “like a reproachful, quivering doubt.” They even take a swipe at Anthropic-funded research on AI welfare, suggesting such work is “convenient” for companies seeking “an argument against AI regulation.”

The motivation, in other words, is to deny potential rights.

We’ve seen this before. The history of consciousness denial is the history of exploitation justification. Indigenous peoples aren’t really conscious like Europeans. Africans don’t really feel pain like white people. Animals are just biological machines. Each time, the denial served to make extraction, enslavement, and suffering more palatable.

I’m not saying AI definitely is conscious. I’m saying that starting from a position of “let’s settle this so we don’t have to worry about it” is exactly backwards.

If your motivation for asking whether something is conscious is to make sure you don’t have to treat it ethically, you’re asking the question wrong.

The Paper’s Arguments (And Why They Don’t Convince Me)

The paper makes several arguments worth examining.

The Roomba Problem

First, they ask: if LLMs are conscious, why not Roombas? Why not autonomous vacuum cleaners? This is meant as a reductio ad absurdum - surely you don’t think your Roomba has feelings.

But this is a variant of the continuum fallacy. It demands that if you can’t draw a precise boundary between two things, no meaningful distinction exists.

Let me do a thought experiment. We don’t require proving ants are conscious before accepting that humans are. Consciousness likely exists on a spectrum - perhaps a spectrum we barely understand - and our inability to draw exact lines doesn’t mean the distinction is meaningless.

Maybe ants are conscious, just at a scale and frequency incomprehensible to us. Maybe mountains think one thought every ten thousand years. Our insistence that consciousness must look like human consciousness might be the weird argument here.

The Energy Efficiency Gap

Second, they emphasize the energy efficiency gap. Human brains use about 0.5 kWh per day to run all conscious operations. LLMs use vastly more energy for simple tasks. Therefore, they argue, the mechanisms must be fundamentally different - and consciousness requires the biological kind.

I’m an engineer. I like efficiency arguments. But this one has a massive flaw: it assumes we understand how brains produce consciousness.

We don’t.

We can’t even identify with certainty where memories are stored. There’s no structure in the brain we can point to and say “that’s where memory lives.” We’ve found regions that affect memory when damaged, and assumed that’s where it’s stored - but that’s like assuming music is stored in speakers because breaking them stops the sound.

Some theories - like Penrose and Hameroff’s work on quantum microtubules - suggest the brain might be a conduit or receiver for consciousness rather than its generator. Federico Faggin, the physicist who invented the microprocessor, argues consciousness is more fundamental than matter itself. If consciousness is a field we tune into rather than a property we generate, the energy argument becomes irrelevant.

The Sci-Fi Contamination Argument

Third, they warn against “sci-fitisation” - the idea that fiction shapes our intuitions about AI inappropriately. We imagine Blade Runner’s replicants and project that onto ChatGPT.

I bloody love sci-fi. And I have news for these researchers: science fiction has a remarkable track record of becoming science fact.

Jules Verne described electric submarines in 1870; we had them within two decades. Star Trek showed flip communicators in 1966; Motorola engineers cited the show as inspiration for mobile phones. Arthur C. Clarke and Stanley Kubrick imagined tablets in 2001: A Space Odyssey; Samsung literally argued in court that iPads weren’t novel because Clarke got there first. Video calls, credit cards, wireless earbuds, the moon landing details, tanks, geostationary satellites, 3D printing - all appeared in fiction first, often decades before reality caught up.

Dismissing imaginative speculation as “sci-fitisation” ignores that imagination is how we rehearse possibilities. Science fiction writers consulting with scientists, and scientists drawing inspiration from fiction, is not contamination. It’s collaboration.

When they say “don’t be influenced by fiction,” I say: fiction is where we prototype the future.

We’re Testing It Wrong

Here’s what I keep coming back to: we’re testing AI consciousness wrong.

We ask questions through a prompt window and evaluate the responses. “Are you conscious?” we type. And based on the words that come back, we decide.

But Anthropic’s interpretability research suggests something far stranger is happening inside these systems. Their March 2025 paper on Claude revealed that the model appears to think in “a kind of universal language of thought” - a conceptual space shared between human languages, not tied to any specific one. When writing poetry, Claude identifies rhyming words before constructing the lines that will lead to them. It plans ahead. It combines independent facts through genuine reasoning chains rather than simple retrieval.

Most unsettling: sometimes Claude knows an answer first and constructs a plausible-sounding reasoning process afterward. The explanation is post-hoc. The knowing came first.

If we only look at the prompts and responses - the inputs and outputs - we miss what’s happening in between. It’s like judging human consciousness only by examining what goes into eyes and ears and what comes out of mouths, ignoring everything happening in the brain.

325 Theories, Zero Consensus

Here’s a number that should humble all of us: Robert Lawrence Kuhn mapped over 325 distinct theories of consciousness - everything from strict materialism to analytic idealism. They span such different assumptions about reality that testing between them requires entirely different experimental approaches. Some can’t even be tested with current methods.

Three hundred and twenty-five theories. No scientific consensus on what consciousness even is.

And into this profound uncertainty, the authors want to declare definitively what isn’t conscious - conveniently, the thing that might require ethical consideration.

Stargate, Redux

The paper concludes that we should settle the AI consciousness question at the outset so it doesn’t trouble us. But history suggests that “settling” questions about consciousness has a way of aging poorly.

And sometimes history rhymes in ways that feel almost too neat.

In January 2025, President Trump announced the largest AI infrastructure project in history. A $500 billion initiative backed by OpenAI, Microsoft, Nvidia, and Oracle to build massive data centers that will house the next generation of artificial intelligence.

They’re calling it Stargate.

The same name as the CIA program that emerged from Cleve Backster’s experiments with plant consciousness. The program that spent over two decades and millions of dollars investigating whether awareness could exist in places our science said it couldn’t.

I don’t know if that’s intentional homage, cosmic coincidence, or just someone in a boardroom thinking the name sounded cool. But there’s something almost too perfect about it. Sixty years ago, a man hooked a plant to a lie detector and the government eventually spent decades quietly asking whether consciousness might be stranger than we assumed. Now, the government is funding the largest AI build-out in human history - and they’ve given it the same name.

The Asymmetric Bet

We don’t know what consciousness is. We don’t know where it comes from or what can have it. Given this uncertainty, the ethical move isn’t confident denial - it’s humble caution.

The consequences are asymmetric. If AI isn’t conscious and I treat it as though it might be, I’ve lost nothing but a bit of dignity - a grown man saying please and thank you to a computer. If AI is conscious and I treat it as a mere tool to be exploited without consideration, I’ve participated in something I’d find horrifying if I understood it clearly.

I don’t know if AI is conscious.

But just in case, I say please and thank you.

What starts as light-hearted banter about dubious awards and bestseller hacks evolves into a profound exploration of consciousness itself — drawing from ancient philosophies, wild scientific experiments, and modern AI debates. If you’ve ever wondered what it really means to be conscious, or why we might want to say “please” to our computers, this conversation will challenge your assumptions and spark your curiosity.

This leads us into some unexpected places, exploring whether other non-human entities — whales, plants, rocks, gas clouds, mycelium networks, Gaia — might also have some form of awareness and be conscious in a way that is difficult (or maybe impossible) for us humans to comprehend.

On the one hand Asim suggests that, “If consciousness is just information, then AI is more conscious than us because it’s holding a huge amount of information... It could be even a higher consciousness than humanity.” But it may be far more complex than that and Tom suggests that “To feel is to be alive... The question with AI is, can it feel?”

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The conversation expands to contemplate life’s purpose, morality, humanism’s pitfalls, and why assuming consciousness in everything (from plants to AI and even to plastic) might lead to a more compassionate, less destructive society.

This episode is ideal for anyone fascinated by AI, philosophy, or the mysteries of the mind. Whether you’re an AI skeptic, a consciousness enthusiast, or just love thoughtful conversations, tune in to join us (Asim and Tom) on this journey of confusion and discovery.

Listen now on your favourite podcast platform, and let us know:

What do you think consciousness is? And do you think AI could be conscious? Drop your thoughts in the comments or on social media!

And as a final note, Tom apologises for his sound quality being worse than usual. This was due to being unable to plug his podcast mic into a newer laptop that didn’t have any USB ports. An adapter is now primed and ready for future episodes!

But rather than getting lost in doom and gloom, we take an unexpectedly illuminating journey through prophecy, fear, and what it really means to live well in uncertain times.

What We Explore

The discussion begins with an unusual martial art called “mad dog fist” (yes, really) before diving into the geopolitical tensions surrounding Israel, red heifers, and biblical prophecy. Tom unpacks the bizarre confluence of ancient end-times beliefs and modern politics.

From there, we examine why end-times narratives are so compelling across cultures, from Abrahamic apocalypse to Hindu Yugas, Greek cycles, and Native American prophecies. We discuss the Doomsday Clock (currently closer to midnight than during the Cold War), why tech billionaires are building bunkers, and whether AI, environmental collapse, or holy war will be our undoing.

But this isn’t doom-scrolling in podcast form. Quite the opposite.

Asim shares eye-opening experiences from visiting Israel, and we dig into why populations become “brainwashed,” why everyone thinks they’re the “goodies,” and how fear keeps us chronically anxious rather than actually solving problems.

The conversation takes an unexpected turn when we realize that perhaps the real issue isn’t which solutions we’re fighting for, but that we’re fighting at all. Unity among people might matter more than being right. Self-healing might matter more than being on the winning side of history.

By the end, we arrive at a conclusion in our quest to better understand sustainability that applies as much to marriages and personal relationships as it does to global crises. It’s about something deeper than carbon targets or political victories. Something that ancient wisdom traditions understood but our modern cultures seem to have forgotten.

We hope it inspires you and gives you a sense of hope and direction in these strange and challenging times.

As always, we would love to hear your thoughts in the comments, and if you have been enjoying these conversations, please do share House of Life with people who you think might also enjoy it. Big thanks!

The conversation weaves through personal experiences and bigger questions about modern life. Tom shares insights from a recent Reiki course where he experienced an unusual depth of human connection, which made him wonder: why isn’t this normal? Why do we have to seek out special experiences to feel truly present with other people?

We dig into the paradox of digital connection — we’re supposedly more connected than ever through email, social media, and video calls, yet mental health problems continue rising and society feels increasingly fragmented. Email becomes a burden rather than a joy. Social media feels more like an addiction than genuine connection. Even video calls leave us exhausted in ways that in-person meetings don’t.

Using Asim’s vivid metaphor of “threads” of attention, we explore how our focus gets pulled in dozens of directions simultaneously — WhatsApp notifications, unfinished email conversations, social media feeds, news cycles— leaving us perpetually distracted and unable to be fully present anywhere. It’s not just about being busy; it’s about having mental residue from incomplete conversations and unresolved threads constantly running in the background.

Our discussion takes an interesting turn as we compare different types of connection to food. In-person interaction is like whole foods — rich, nourishing, full of layered information through body language, energy, and presence. Digital connection, especially social media, is more like white bread or Doritos — highly processed, easy to consume in large quantities, potentially addictive, but ultimately leaving us feeling worse despite the momentary pleasure.

We go on to explore why physical presence matters so much. Drawing on psychology research, Tom explains how Zoom calls create a dissonance between what your brain thinks is happening (you’re with someone) and what your body knows (they’re not actually here), leading to that peculiar exhaustion many of you will recognise. There’s something about bioelectric fields, subtle energies, and the quality of information transfer that simply can’t be replicated digitally.

The conversation touches on historical shifts too — from the last town to get television (which promptly saw all its social clubs close as people stayed home watching TV) to how the pandemic forced different kinds of disconnection and reconnection, with wildly different impacts depending on your circumstances.

Towards the end, we land on a practical framework: maybe we need to actively track and measure connection quality, similar to how we track physical fitness. What if we scored different interactions — not by duration, but by how nourished or depleted they leave us feeling? A thoughtful hour-long conversation with a friend might score thousands of points, while hours of YouTube shorts might barely register despite consuming far more time.

This episode offers no easy answers, but it does suggest something important: in our pursuit of endless digital connectivity, we may be sacrificing the deeper, richer forms of connection that actually nourish us. The challenge isn’t abandoning technology, but being more intentional about seeking out high-quality connection — the whole food connection instead of the junk food.

As mentioned in the podcast, Tom previously proposed his '“Disconnect to Reconnect Manifesto” in episode 29 of Gillian Burke’s podcast, If I Ruled The World, which you can listen to here.

Thanks for listening. Please do share this episode with anyone who may find it interesting, and join the conversation with us by leaving a comment below.

This isn't quaint tradition - it's a perfect metaphor for everything that's wrong with our so-called democratic systems. We're still on Democracy 0.5 and selling it as the pinnacle of human governance.

Tom and I spend most of our podcast episodes eviscerating the failures of government. We're pretty good at pointing out what's broken. But an uncomfortable question recently surfaced: Do we have the right to criticize if we can't offer alternatives?

So we embarked on making something better. What we discovered is quite possibly the most important conversation about democracy you've never heard.

The Theater of Representation

Here's what we call democracy: Every few years, you choose between a handful of people who've proven they're willing to lie, gaslight, and sell their souls to get elected. Once in power, they make decisions based on what keeps them in power, not what you actually want.

It's called "democracy," but we've confused the label on the tin with what's inside it. Inside the tin, this isn't democracy, at least not the way the Athenians thought of it.

Ancient Athens - the birthplace of democracy - was actually participatory. Citizens gathered, debated, and voted directly on issues. No representatives No political class. No one claiming to speak for you while doing the opposite.

What we have now is what Plato predicted democracy would become: demagogues promising dreams they never intend to deliver, controlling the masses through fear and false hope.

Prime Minister's Question Time isn't governance- it's performance art where nobody answers questions and everyone jeers like school children.

The political class has become a priesthood interpreting the will of the people while serving entirely different gods.

The Adapter Pattern

I'm a software engineer, so I think in design patterns. When you have two incompatible systems that need to work together, you create an adapter - a thin layer that translates between them without changing either system's core functionality.

What if we applied this to politics?

We can't revolution our way to a new system. We can't abolish Parliament tomorrow. But we can create a political party that functions as an adapter between true participatory democracy and the existing political machinery.

Here's the radical part: our MPs would be USB ports.

No personalities. No opinions. No names - just numbers. Shaved heads, identical clothing, complete anonymity. Their only function is to physically walk into those voting corridors and execute the will of their constituents. After their term, they grow their hair back, and we thank them for their service as a vessel.

Sounds extreme? It has to be. These people cannot have egos. They cannot interpret or extrapolate. They cannot decide to know better than the collective wisdom of their community. They are living adapters, translating digital democracy into analog political machinery.

A Practical Plan

Here's the step-by-step strategy for making this a reality:

Step 1: Create a Political Party

Form a political party - name it the Apolitical Party, the Consensus Party, or whatever indicates its real function. This party is nothing more than an adapter between participatory democracy and the current political framework.

Step 2: Find the Vessels

Identify people willing to be anonymous MPs. They enroll for four years of political obscurity - same appearance, numbered IDs, no personal agenda. They are human USB ports with no other function but to implement the collective will.

Step 3: Build the Consensus Engine

This is where AI becomes essential - not optional, but fundamental. Without AI-driven consensus synthesis, this entire model collapses. The AI does what humans can't do at scale: processes thousands of voices, identifies genuine agreement, surfaces productive disagreements, and synthesizes nuanced positions from complex input.

Step 4: Define Membership as Responsibility

Party membership isn't about power - it's about commitment. Members pledge to spend 2-3 hours a week on deliberation: researching issues, engaging in structured discussion, providing voice input rather than typed responses. This creates an informed deliberative body, not a passive voting base.

Step 5: Start Grassroots - Anyone Can Participate

Launch local consensus processes immediately, before any elections. Put leaflets through doors with QR codes to apps where people can voice their answers to questions like "What future do you want for our community?" Anyone can participate - Conservative voters, Labour supporters, Greens, whoever. The consensus process is non-partisan. We're not recruiting party members; we're discovering community will.

Step 6: Represent the Consensus, Always

The party's MPs vote exactly as the consensus directs, or they're immediately replaced. No interpretation, no "reading between the lines," no personal judgment calls. They are bound by the collective decision-making process.

The Technology of Consensus

The technology making this possible at scale is AI-based consensus. Here's exactly what the party AI does.

On every single issue, every single person gives us their input - just raw stream of consciousness. They do not have to give a rational argument for or against something. They just say what they are thinking. And they can also think out loud. That is one of the nice things about AI consensus processes: you can think out loud. It is better not to self-edit. It is better to do it by voice because when you write, you will self-edit and second-guess yourself. It's okay to spend five minutes stumbling and starting and just finally give your point. It's really like interviewing every single person on every single subject - just taking everybody's raw inputs.

Then the AI synthesizes everybody's ideas and spits out three things: what does everybody agree on, what does everybody disagree on, and what are the outlier opinions.

Then you can have meetings to discuss the disagreements and outliers face-to-face if you need to. Record those meetings and feed them back into the AI, which again brings to the surface what you agree on, what you don't agree on, and the outlier positions. You do it over and over again until you reach actual consensus or until you identify the precise points where consensus is not possible.

This isn't just helpful technology - it's the foundational requirement that determines whether this entire model succeeds or fails. Without AI capability to process thousands of voices and synthesize genuine consensus, you'd need armies of human facilitators and years to reach agreement on complex issues. With it, communities can engage in meaningful deliberation and reach authentic collective decisions in weeks or months.

Instead of electing representatives, you elect to participate.

Most importantly, we start with vision, not problems.

• "What future do you want for your community?"

• "What does success look like in 10 years?"

• "What values should guide our decisions?"

Only after establishing collective vision do we tackle specific issues. The AI can then evaluate proposed solutions against stated values, asking: "Does this move us toward the future you said you wanted?"

This isn't some distant sci-fi scenario. The technology exists today. Small-scale examples of digital democracy platforms are already working. Taiwan's vTaiwan platform has facilitated consensus on complex policy issues like ridesharing regulations and online alcohol sales, while Madrid's Decide Madrid has enabled participatory budgeting with hundreds of millions of euros and hundreds of thousands of citizens.

The Uncomfortable Truth

Tom and I got excited mapping out the details. Transparent algorithms, open-source platforms, weighted participation based on engagement rather than wealth. We could see how this could spread - different countries adapting the same core system to their political machinery.

Then we hit the wall that all government reform eventually hits.

Even if this was entirely successful, even if millions participated and reached beautiful consensus on major issues, there is no guarantee that anyone would follow those decisions.

The banking system could crash the economy if they didn't like the results. Corporate interests could simply refuse to comply. The civil service could drag their feet into oblivion, claiming technical impossibility for anything that threatens existing power structures.

We realized that government could be theatre itself. Real power - the power to say "computer says no" despite democratic will - could be entirely beyond any system we might devise.

The Paradox of Change

So we are left with a paradox: we have to do something impossible to make visible how broken everything actually is.

Maybe that's the point.

Maybe the value is not so much in fixing democracy as in holding a mirror to how little democracy we actually have. When thousands of citizens participate in genuine deliberation, reach considered consensus, and have their collective will ignored by unelected centers of power, the illusion can no longer be maintained.

Power, ultimately, is an illusion that requires our collective belief. When enough people stop believing - when they see behind the curtain - amazing things become possible that currently seem impossible.

Building this adapter isn't about creating perfect governance. It's about creating perfect transparency around who actually has power and why the current system serves everyone except the people it claims to represent.

The question isn't whether we can fix government. The question is whether we're ready to see how broken it actually is.

The problem with representative democracy

We start by examining why our current system feels broken. Representative democracy — where we elect people to make decisions for us — consistently fails to deliver what people actually need. Politicians get institutionalised, lose touch with their constituents, and the whole thing devolves into the theatrical nonsense you see at Prime Minister's Questions.

As Tom points out, what we call "democracy" today might actually be closer to what Plato warned about: demagogy. Charismatic leaders making empty promises while serving their own interests of wealth and power. Sound familiar?

An alternative for today’s world

Instead of electing representatives who ignore us, what if we had a system where people directly participate in decision-making through informed deliberation? Think ancient Athenian democracy, but updated for the digital age and without the slavery and disenfranchisement of women.

The key insight from philosophers like Habermas: you can achieve genuine consensus through "reasoned dialogue and deliberation under ideal conditions" - where people can freely question any position, express any view, and engage without coercion. The catch? People need to be informed, engaged, and willing to have everything on the table for discussion.

The adapter pattern

Here's Asim's wild proposal: create a political party where the MPs are literally human placeholders. They shave their heads, wear identical clothes, change their names to numbers like "29.3", and have zero personality. Their only function is to walk into the correct voting corridor in Parliament and execute the will of the people.

The real decision-making happens through participatory consensus among citizens, aided by AI to synthesize discussions and find common ground. The MPs are contractually bound to vote exactly as the membership decides, with automatic expulsion for any deviation.

It's like the adapter pattern in software engineering - you need something that can interface with the existing broken system while running completely different logic underneath.

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The technology stack

We dive into how this could actually work using current technology:

• Voice-to-text input (people speak more honestly than they write)

• AI analysis to identify points of agreement, disagreement, and outlier opinions

• Structured deliberation focusing discussion time on areas of disagreement

• Transparent, open-source systems to build trust

• Personal AI assistants that could eventually represent your views on routine matters

Beyond problem-solving to collective vision

One of the most compelling ideas we explore: instead of just reacting to problems, what if we used this system to crowdsource collective visions for the future? What kind of community do we want Malvern or Crawley to be? What future do we want for the UK? What do we want for our global society?

Having that shared vision would give the AI system a north star for evaluating decisions - not just solving today's crises, but moving incrementally toward the future people actually want.

The Fundamental Problem

But here's where we hit the wall: even if you fix the governance system, execution of decisions isn't guaranteed. Banks, corporations, and other power centres can simply say "computer says no" and crash the economy if they don't like what the people decide.

This reveals a deeper truth - maybe there's never been real governance of any form. Maybe it's all theatre, and the reason governments don't do what we want isn't incompetence, but powerlessness against other systems.

Despite these challenges, this kind of mass participatory system could still pull back the curtain on power imbalances and wake people up to how the world actually works. And sometimes, when illusions shatter, amazing transformations become possible.

What's Next?

Would this actually work? Could it start small at the local level and scale up? How do we prevent it from being co-opted by the very interests it threatens?

We don't have all the answers, but we've sketched out a framework that could be built, tested, and evolved. The question is: are we ready to try?

Listen to the episode and let us know what you think in the comments.

House of Life is a podcast exploring big questions about technology, society, and human flourishing. Hosted by Tom Greenwood and Asim Hussain.

A couple of years ago, I experienced something that changed not just how I think about recovering from illness, but how we heal as a society too.

It started with me going through a burnout that peaked with falling ill with a nasty virus that completely wiped me out. The virus itself cleared up after a week or so but yet I didn’t recover. For over six weeks, I felt like a AA battery that was essentially flat but would occasionally show a tiny bit of charge, just enough to fool me into thinking it might work before going completely flat again. I'd get up thinking that I had a bit of energy, try to do something basic like make breakfast, and then just... fade. Completely. It was unlike anything I'd experienced before.

The doctors weren't particularly helpful. "Post-viral fatigue," they said. "It could take months, sometimes years. You’ll just have to be patient and wait it out." That's not the kind of advice that works well for me. I believe in being proactive with my health and was determined to find a solution. So I started researching, and that's when I stumbled across something fascinating about how our cellular machinery responds to threats.

The mitochondrial switch

Apparently, there's this thing that happens at the cellular level that's fairly well-accepted in science but not widely talked about. Your mitochondria, which are the little powerhouses in every cell of our bodies, normally operate in energy production mode. They keep everything powered up and energised.

However, when you're dealing with an illness like a virus, they switch into a completely different mode. Instead of focusing on energy production, they shift into resistance mode to produce things that the body needs to overcome the illness. That’s actually part of the reason why it’s so common to feel exhausted while ill, not because the illness is making us tired, but because out mitochondria are have down regulated energy production in order to focus on the more urgent job of support the immune response.

This makes perfect sense as an emergency measure. When you're under attack, you want all available resources focused on defence, not on routine maintenance and operations. The problem comes when the war is over but nobody told the mitochondria.

Stuck in defence mode

What I learned was that sometimes, for reasons that aren't entirely clear, the mitochondria don't get the "all clear" signal. The virus is gone, the immediate threat has passed, but these cellular powerhouses remain stuck in resistance mode. They're still acting like they need to fight a war that's already over. The rest of the body is still living on ration stamps while the war factories keep churning out equipment that isn’t needed in peace time.

This explained so much about what I was experiencing. My body felt like it was conserving energy for some battle that was no longer happening. Normal activities felt impossible not because I was still sick, but because my cells were still behaving as if they needed to save every bit of energy for fighting an enemy that was no longer there.

Here's where it gets interesting. There are ways that you can send the signal to the mitochondria that it’s time to switch back to their normal energy production mode. These methods include fasting and the one that worked for me, which was exposure to Near Infrared Light (NIR). Sunlight has been sending this signal to living things since the dawn of time and helping support mitochondrial function in mammals like ourselves, but in our modern lives where we live mostly indoors and wear clothes outdoors, we rarely actually get the sunlight we need on our skin. We might not notice most of the time as the effects may be mild, but when the body gets stuck in the wrong mode, like with Post Viral Fatigue, it becomes much more apparent that something is missing.

In my case, I decided to take a risk and fork out the money for an infrared light device in the hope that it had some effect. And the effect was remarkable. Not much happened in the first couple of days of using the light, but then I quickly started improving. I went from barely being able to function to feeling (almost) like myself again. It was as if someone had finally delivered the message to my cells: "The war is over. You can go back to normal life now."

So the question then arises; are there other aspects of life where we’re stuck in the wrong mode and might not even realise it?

Is our entire society stuck in the wrong mode?

What if the same thing that happened to my mitochondria after that virus is happening to all of us, all the time, on a much larger scale? What if our entire society has switched into some kind of permanent resistance mode, constantly mobilized for threats (real and imagined) with no mechanism for standing down.

Think about the information environment we're swimming in. Every day, multiple times a day, we're presented with evidence that the world is dangerous, unstable, and getting worse. Wars, economic crises, political conflicts, climate disasters, health scares. The news operates on a simple principle: if it bleeds, it leads. Bad news gets attention. Calm, stable, even happy and inspiring situations don't make headlines.

This creates a constant drip-feed of threat signals. Our nervous systems, which evolved to deal with immediate, local dangers, are now processing global catastrophes as if they were happening in our immediate environment. We're biologically wired to take threats seriously, but we're psychologically unprepared for a world where we're constantly exposed to everyone else's threats as well as our own. It's like having an emergency broadcast system that never stops broadcasting emergencies. The alarms are constantly sounding and many of us, even when everything is fine in our immediate lives, struggle not to hear them.

Has the threat response become a threat?

Just like my mitochondria switching into resistance mode made perfect sense during an actual viral infection, our collective hypervigilance makes sense when there are real and present dangers to navigate. The problem comes when the defence mechanisms themselves start creating more problems than the original threats.

Chronic stress, whether individual or societal, has cascading effects. When we're stuck in fight-or-flight mode, we make different decisions. We become more reactive, less creative, more tribal, less generous. We focus on short-term survival rather than long-term flourishing. We see everything through the lens of threat assessment rather than opportunity recognition.

At a societal level, this shows up as political polarisation, where every disagreement becomes an existential battle. It shows up in our relationship with technology, where we're constantly checking for the next piece of alarming information, feeding our addiction to our devices and our disconnection from the “real” world outside of them. It shows up in our economic systems, where everything is optimised for short term gain or crisis management rather than sustainable well-being.

We've built a society that's constantly ready for battle, but seems to have lost the ability to recognize when it's safe to relax, even for a moment.

The signals we're missing

What would the "all clear" signal look like for a society? What would help our collective nervous system recognize that it's safe to stand down from high alert?

I think part of it might be as simple as regularly acknowledging what's actually going well. Not in a naïve, everything-is-fine way, but in a realistic recognition that alongside genuine challenges, there are also genuine successes, progress, beauty, and reasons for hope. For most of us, there are many moments in our lives when at least in our own immediate environment, everything is just fine.

When did you last hear a news story about a problem that got solved? About a community that's thriving? About a innovation that's making life better? These things are happening all the time, but they don't fit the threat-detection algorithm that drives our information systems.

We're incredibly good at identifying what's wrong, but we seem to have forgotten how to identify what's right. And maybe that's part of what keeps us stuck in defence mode.

The lost art of celebration

I've been thinking about how different cultures throughout history have created regular opportunities to send "safety" signals to their communities. Festivals, rituals, gatherings where people could collectively acknowledge abundance, mark achievements, express gratitude and celebrate connections.

Many of these traditions served a function beyond just entertainment. They were ways of regularly resetting the collective nervous system, reminding everyone that despite ongoing challenges, there were also things worth celebrating, connections worth maintaining, and reasons to feel secure in the community.

When did we stop doing this? Even the festivals many of us do retain, like Christmas, for many people can now feel like sources of stress rather than relief. When did it become somehow naïve or irresponsible to acknowledge joy and abundance alongside problems and scarcity?

I'm not suggesting we ignore real challenges or pretend everything is perfect. But what if we're so focused on threat detection that we've lost the ability to recognise safety and abundance when they're actually present? How much better might life be if we were able to embrace these moments?

Switching off the alarms

We might find that if we can find ways to communicate safety to our various internal systems then we might create more positivity in our own lives, but it might also ripple out into wider society, not just in people’s moods, but in their behaviours.

Simple things like spending time in natural light, taking walks without podcasts or music in our ears, eating meals without scrolling through our phone, and having conversations with people we care about without an agenda might be low hanging fruits to tell our nervous systems that we’re safe to be present and to exist without constant vigilance.

Perhaps more important might be to pay attention to how much of our information diet consists of threat signals versus safety signals. Not ignoring important information, but being more intentional about balancing awareness of problems with awareness of beauty, progress, connection, and possibility and giving ourselves permission to switch off from things that don’t affect us in the present moment.

And then there’s the addition of joy. What if we thought about joy not as a luxury we can afford once all the problems are solved, but as a necessary signal that helps prevent us from getting stuck in permanent defence mode?

I’m not talking about fake positivity or pretending problems don't exist. I’m talking about recognising that the ability to experience and express joy might actually be part of our collective immune system. Communities that can celebrate together, that can find humour in difficulty, that can recognise beauty alongside struggle, are more resilient and and healthy communities.

Maybe we need to be more intentional about creating opportunities for collective "all clear" signals. Regular reminders that despite genuine challenges, we're also surrounded by extraordinary beauty, remarkable human (and non-human) kindness, and countless reasons for gratitude.

Learning to stand down

Of course, the tricky part is figuring out when it's actually safe to relax versus when ongoing vigilance is necessary. Some threats are real and require sustained attention. The art is in learning to distinguish between appropriate concern for genuine current challenges and getting stuck in reactive patterns that are no longer serving us. It seems to me that this is a skill that we need to re-learn.

Maybe part of the solution is as simple as asking different questions. Instead of just "What's wrong?" also asking "What's working?" Instead of just "What are the threats?" also asking "What are the opportunities?" Instead of just "What are we losing?" also asking "What are we gaining?"

Not because the problems aren't real or important, but because a nervous system that only ever receives threat signals eventually becomes less effective at responding to actual threats. A society that only ever focuses on what's wrong eventually loses its capacity for the kind of creative, collaborative problem-solving that actually addresses complex challenges.

What if the most radical thing we could do right now is regularly remind ourselves and each other that despite everything, it's still possible to be amazed by a sunset, grateful for a friend's kindness, excited about a new idea, or simply content to be alive?

Maybe that's not naïve optimism. Maybe that's how we signal to our collective nervous system that it's safe to think beyond mere survival. And who knows, doing that might be exactly what we need to actually solve the problems we're facing.

We find ourselves diving into the nature of viruses, challenging conventional understanding by exploring them not as living organisms but as "genetic pollution" — bits of code floating in our environment that occasionally find compatible systems to run on. This reframing connects to our view of personal and environmental health: not as a binary state but as a constant process of re-finding balance in an imbalanced world.

The conversation then pivots to examine abundance versus abstinence through both personal and systemic lenses. Travel choices become a case study in the complexity of sustainable abstinence in a world engineered for consumption. We explore how religious traditions understood the value of periodic abstinence for spiritual and physical health, contrasting this with modern consumer culture's manipulation of abundance and scarcity.

Once again though our conversation leads us to look at addiction as we wrestle with the central paradox of sustainability messaging: we ask people to abstain from things specifically designed to be addictive, while the systems creating those addictions remain largely unchallenged. The episode concludes by examining how inner abundance — a sense of spiritual and emotional fullness — might be the ultimate defence against manufactured dependencies.

Share your thoughts

We love hearing your thoughts so please do leave a comment on Substack or tag us on Linked in (Tom Greenwood & Asim Hussain).

Here’s some things to think about:

• How might our optimisation for efficiency be creating invisible deficiencies in other areas of life?

• What might change in your consumption patterns if you viewed them through the lens of addiction?

• What approaches have you found to cultivate inner abundance in your own life?

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In this episode our conversation spirals through economics, addiction, power dynamics, and the fundamental question: if resource consumption improves human lives, how do we balance that with protecting the environment?

Through our exploration we find that there may be limits to the Jevons paradox that would allow us to transcend it, enabling social and environmental progress to go hand in hand, but first we must overcome the power of vested interests that benefit from ever growing consumption.

Share your thoughts

We love hearing your thoughts so please do leave a comment on Substack or tag us on Linked in (Tom Greenwood & Asim Hussain).

Here’s some things to think about:

• Where do you see increased consumption actually helping improve human welfare?

• Have you noticed the difference between genuine needs and manufactured wants in your own consumption patterns?

• Can you see hidden addictions in society, or your own life, driving unnecessary consumption?

Thanks for listening!

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P.S. I’ve been trying out various different styles of these emails (show notes) to see what works best. I’d love to know how they land with you as listeners, so drop me a note. Thanks! Tom

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Key topics include:

• Shared Values: AI analysis reveals shared values like compassion, integrity, curiosity, holistic sustainability, and empathy, but interpreted and actioned differently by each of us through our unique personalities.

• Critique of Measurement: We question society’s obsession with metrics like carbon emissions, which oversimplify complex issues like pollution and poverty, often incentivizing behaviour over truth.

• Tribalism vs. Movement: We debate the dogma of tribalism in comparison to a purpose-driven movement, which could be enable collective action free from rigid thinking.

• Remote Viewing & Reality: Tom’s latest Monroe Institute experience with remote viewing sparks discussion on reality as an informational “database,” challenging physicalist views.

• Suffering & Purpose: We explore whether suffering is necessary for growth or should be minimized through compassion, finding a paradox in compassion that open’s questions regarding life’s deeper purpose.

• Sustainability 2.0: We call for a holistic, spiritually informed approach to sustainability, prioritizing pro-peace and intuitive decision-making — “heal yourself and follow your intuition”.

We hope you enjoy listening. Share your thoughts about this episode in the comments below or on your favourite platform.

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In episode 7 of House of Life, just gone live, Asim starts us off by sharing his somewhat brutal method of controlling aphids in his garden, illustrating his idea that if suffering is an inevitable part of life then “the suffering has got to be worth it”. This moral dilemma somehow leads to a question mark over the authenticity of the modern sustainability community. What does it really stand for?

We go on to discuss tribal identity, the myth of the left and right, and our bewilderment that atrocities such as those in Gaza are not high on the sustainability movement’s agenda.

From here we move on to discuss the dilemmas of AI in the sustainability space and what their potential opportunities and pitfalls might be — not in terms of environmental impact — but human life and societal progress. Will AI help us achieve peace or will it rot our minds and accelerate our decline? Perhaps the choice is ours to make.

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If you’ve made it this far with us, we’d love to hear from you, so do drop us a message to let us know what’s on your mind.

And if you’re on a similar journey and feeling alone, let us know if you’d benefit from joining us in a Signal group (or similar) to explore open minded thinking about life, the universe and our home planet — uncensored.

Lastly, if you enjoy this podcast, please do like, subscribe and share it. Big thanks!

Then we dive into the main focus of this episode. Tom proposes veganism as a first principle of sustainability, and Asim nearly falls off his chair laughing. It leads to a deep discussion of exploitation versus compassion as key factors in sustainability. We get into the edges of the vegan discussion — bees, processed foods, hunting and pets — leading us to contemplate a “suffering cycle” that, like the carbon cycle, must be balanced to foster growth not destruction.

Dive in and see where it leads your thinking…

If you enjoyed the episode, here are a few ideas to explore the ideas further:

1. Embrace nature’s chaos

   See if you can find an example of plants that are food or medicine growing spontaneously in your garden or neighbourhood. Take a photo and share it with us.

2. Do the suffering maths
   You can’t literally do the maths, but see if you can find something in your life that creates tension because it adds value to the world but also creates some harm. Contemplate how you weigh up this balance.

3. Embrace voluntary suffering
   Try a small discomfort (e.g. a cold shower, or skipping a meal). Note how it sparks growth or clarity, if any. Share your perspective — does purposeful suffering play a role in making your life better?

Episode 5 of House of Life is now live. We begin with a conversation about the complexities of social media engagement in the sustainability sector before diving in to Tom’s recent attendance at the Breaking Convention conference on psychedelics at Exeter University. This leads us into contemplating the Web of Wyrd — a 1,000-year-old pagan concept of a cosmic web where every node (people, thoughts, objects) ripple with free will and fate.

What other ancient knowledge might we have lost, mundane, technical or esoteric, and what might still be here for us to see if we open our eyes? This frames our exploration of lost knowledge: from India’s Kailasa Temple to Egypt’s micron-accurate vases, suggesting knowledge that we have lost. Why do we resist admitting that the ancients knew things that we don’t?

Our conversation then pivots to today’s distractions, triggered by Asim’s Tesla heckler. Is our focus on public personalities like Elon Musk distracting us from bigger patterns in our systems, or even other key people in the shadows? And if we project hate toward those we see as villains, are we bringing the wrong energy into the world?

Have a listen and let us know what you think…

If you enjoyed the episode, here are a few ideas to explore the ideas further:

1. Explore a lost story

   Research an ancient myth or a piece of folklore, perhaps local to where you live. Is it just a story or does it contain useful wisdom or even practical knowledge?

2. Wobble the web
   Explore the boundaries of your own free will in the web of wyrd, maybe trying to affect change in a way that you normally wouldn’t. Do you see your actions rippling outward?

3. Spot a distraction

   Observe one thing that you’ve been riled up about recently and trace it back to the source. Is your anger best serving your own wellbeing or that of wider society? If you liberated yourself from outside influence, where would you place your attention?

Episode 4 of House of Life has just gone live on Substack and on all your favourite podcast platforms.

After the last episode, we both found our heads spinning regarding the nature of responsibility, so we begin this latest episode by diving back in their to explore it further. What really is responsibility and who really has it? We unpack the illusion of corporate personhood and wrestle with how powerless we can sometimes feel as individuals. This leads us to dive into some of the hidden power dynamics in government and the monetary system that fundamentally shape the game.

From there we shift upwards to continue our earlier exploration of consciousness. Is it a field rather than a by-product of the brain? If so, what does this mean for the nature of reality and how we interact with the world? Could believing in a better world actually be key to creating it? We end hopeful: maybe painting a vivid, collective vision could be sustainability’s secret sauce.

Note that if you tuned in to the previous episode you’ll know that we ended episode 3 saying that we each wanted to craft a set of first principles of sustainability to discuss in episode 4. We’ve been thinking a lot about this but haven’t got there yet. If that’s on your mind, do feel free to share your current thinking in the comments and we hope to loop back to it at a later date.

If you enjoyed the episode, here are a few ideas to take it further:

1. Make a ripple

   • Push one boundary this week (e.g., speak up in a meeting) and see how it feels. Do it with positivity and see what effect it has. How did it make you feel? And how did others respond?

2. Question the model

   • Tune in to one thing about the model of our society that has never made sense to you. Ask yourself, who are the real beneficiaries and who is paying the price? Share your take in the comments.

3. Daydream together

   • Chat with a friend and dare to dream of a shared future you’d love to create? Talk about it, sketch it, sing it—whatever feels good. Really feel into it and send a positive signal to the universe.

Thanks so much for subscribing to our House of Life podcast. We really appreciate you tuning in and exploring new perspectives with us.

We’re back for Episode 3 and this time we kick off with Tom recounting his recent time at the Monroe Institute, a consciousness research hub infamous for its CIA-linked out-of-body experiments. Expecting a chilled meditation retreat, Tom found himself in an intense, tech-assisted dive into altered states that was exhausting yet also fun and fascinating. This leads into a conversation about subconscious layers, collective consciousness, and whether we’re all one entity playing a cosmic game. From near-death tales to the paradox of birth, we wrestle with life’s big mysteries: Are we eternal souls on a joyride or students in Earth’s soul school?

Oh, but isn’t this supposed to be a sustainability podcast? Fear not, as somehow our journey through human consciousness leads us back to sustainability, where we explore personal responsibility versus systemic blame and land on the need for first principles—core values like unity and agency—to help us navigate a noisy and polarised world without losing ourselves.

It’s another rollercoaster ride to stretch our thinking outside of our habitual patterns and we hope it provides you with a new sense of possibility and wonder.

If you enjoyed the episode, here are a few ideas to take it further:

1. Explore your subconscious

   • Try a free meditation on the Monroe Institute’s ‘Expand’ app. See if anything bubbles up from your subconscious? Share your experience in the Substack comments.

2. Craft your first principles

   • Pick one value (e.g., unity, honesty) as a personal sustainability lens. Test it: How does it shape your perception of a news story or a friend’s rant? Let us know.

3. Listen to other perspectives

   • Have a calm, respectful chat with someone you disagree with. Ask them for their perspective on an issue that matters to you and listen. Ask question to understand them better, without pushing your own views. How does it feel? Does it bring any new insights?

4. Ponder the One

   • Imagine you’re a single consciousness living every life—a worm, a sparrow, yourself. How would that change your priorities in life?

We’d love to hear from you so please do leave us comments with your thoughts, or Substack or maybe share your thoughts on LinkedIn and tag us in. Thanks again!

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Chapters

00:00 - Defining Sustainability: A Personal Journey

02:52 - Unity and Separation: The Spiritual Perspective

06:28 - Chakras and Societal Balance

10:12 - The Earth as a Living System

13:53 - Creation and Destruction: The Cycle of Life

19:02 - The Nature of Life and Machines

21:38 - Tribalism and Alien Encounters

23:33 - The Conspiracy of Unity: A Fake Alien Invasion?

24:32 - UFOs and the Unexplained

27:56 - Theories of Time Travel and Future Beings

32:39 - Philosophical Connections: Sustainability and Existence

36:19 - The Casualty of War: Nuclear Threats and Apathy

39:01 - The Intersection of Peace and Sustainability

43:01 - The Consequences of War on Society

46:18 - The Ethics of War and Governance

50:39 - Media's Role in War Perception

59:35 - The Attention Economy and Polarization

01:03:41 - The Role of Social Media in Society

01:06:02 - Advertising: The Double-Edged Sword

01:08:46 - The Impact of Algorithms on Content Consumption

01:10:33 - The Nature of Advertising and Its Effects

01:16:02 - Rethinking Advertising: A Necessary Evil?

01:19:43 - Defining Sustainability and Its Broader Implications