Crazy Wisdom

In this episode of Crazy Wisdom, host Stewart Alsop speaks with Eli Lopian, author of AICracy and founder of aicracy.ai, about how artificial intelligence could transform the way societies govern themselves. They explore the limitations of modern democracy, the idea of AI-guided lawmaking based on fairness and abundance, and how technology might bring us closer to a more participatory, transparent form of governance. The conversation touches on prediction markets, social media’s influence on truth, the future of work in an abundance economy, and why human creativity, imperfection, and connection will remain central in an AI-driven world.
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Timestamps

00:00 Eli Lopian introduces his book AICracy and shares why democracy needs a new paradigm for governance in the age of AI.
05:00 They explore AI-driven decision-making, fairness in lawmaking, and the abundance measure as a new way to evaluate social well-being.
10:00 Discussion turns to accountability, trust, and Eli’s idea of three AIs—government, opposition, and NGO—balancing each other to prevent corruption.
15:00 Stewart connects these ideas to non-linearity and organic governance, while Eli describes systems evolving like cities rather than rigid institutions.
20:00 They discuss decade goals, city-state models, and the role of social media in shaping public perception and truth.
25:00 The focus shifts to truth detection, prediction markets, and feedback systems ensuring “did it actually happen?” accountability.
30:00 They talk about abundance economies, AI mentorship, and redefining human purpose beyond traditional work.
35:00 Eli emphasizes creativity, connection, and human error as valuable, contrasting social media’s dopamine loops with genuine human experience.
40:00 The episode closes with reflections on social currency, self-healing governance, and optimism about AI as a mirror of humanity.

Key Insights

1. Democracy is evolving beyond its limits. Eli Lopian argues that traditional democracy—one person, one vote—no longer fits an age where individuals have vastly different technological capacities. With AI empowering some to act with exponential influence, he suggests governance should evolve toward systems that are more adaptive, participatory, and continuous rather than episodic.
2. AI-guided lawmaking could ensure fairness. Lopian’s concept of AICracy imagines an AI system that drafts laws based on measurable outcomes like equity and happiness. Using what he calls the abundance measure, this system would assess how proposed laws affect societal well-being—balancing freedoms, security, and fairness across all citizens.
3. Trust and accountability must be engineered. To prevent corruption or bias in AI governance, Lopian envisions three independent AIs—a coalition, an opposition, and an NGO—cross-verifying results and exposing inconsistencies. This triad ensures transparency and keeps human oversight meaningful.
4. Governance should be organic, not mechanical. Drawing inspiration from cities, Lopian and Alsop compare governance to an ecosystem that adapts and self-corrects. Like urban growth, effective systems arise from real-world feedback, where successful ideas take root and failing ones fade away naturally.
5. Truth requires new forms of verification. The pair discuss how lies spread faster than truth online and propose an algorithmic “speed of a lie” metric to flag misinformation. They connect this to prediction markets and feedback loops as potential ways to keep governance accountable to real-world outcomes.
6. The abundance economy redefines purpose. As AI reduces the need for traditional jobs, Lopian imagines a society centered on creativity, mentorship, and personal fulfillment. Governments could guarantee access to mentors—human or AI—to help people discover their passions and contribute meaningfully without economic pressure.
7. Human connection is the new currency. In contrast to social media’s exploitation of human weakness, the future Lopian envisions values imperfection, authenticity, and shared experience. As AI automates production, what remains deeply human—emotion, error, and presence—becomes the most precious and sustaining form of wealth.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Richard Easton, co-author of GPS Declassified: From Smart Bombs to Smartphones, about the remarkable history behind the Global Positioning System and its ripple effects on technology, secrecy, and innovation. They trace the story from Roger Easton’s early work on time navigation and atomic clocks to the 1973 approval of the GPS program, the Cold War’s influence on satellite development, and how civilian and military interests shaped its evolution. The conversation also explores selective availability, the Gulf War, and how GPS paved the way for modern mapping tools like Google Maps and Waze, as well as broader questions about information, transparency, and the future of scientific innovation. Learn more about Richard Easton’s work and explore early GPS documents at gpsdeclassified.com, or pick up his book GPS Declassified: From Smart Bombs to Smartphones.
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Timestamps

00:00 – Stewart Alsop introduces Richard Easton, who explains the origins of GPS, its 12-hour satellite orbits, and his father Roger Easton’s early time navigation work.
05:00 – Discussion on atomic clocks, the hydrogen maser, and how technological skepticism drove innovation toward the modern GPS system.
10:00 – Miniaturization of receivers, the rise of smartphones as GPS devices, and early mapping tools like Google Maps and Waze.
15:00 – The Apollo missions’ computer systems and precision landings lead back to GPS development and the 1973 approval of the joint program office.
20:00 – The Gulf War’s use of GPS, selective availability, and how civilian receivers became vital for soldiers and surveyors.
25:00 – Secrecy in satellite programs, from GRAB and POPPY to Eisenhower’s caution after the U-2 incident, and the link between intelligence and innovation.
30:00 – The myth of the Korean airliner sparking civilian GPS, Reagan’s policy, and the importance of declassified documents.
35:00 – Cold War espionage stories like Gordievsky’s defection, the rise of surveillance, and early countermeasures to GPS jamming.
40:00 – Selective availability ends in 2000, sparking geocaching and civilian boom, with GPS enabling agriculture and transport.
45:00 – Conversation shifts to AI, deepfakes, and the reliability of digital history.
50:00 – Reflections on big science, decentralization, and innovation funding from John Foster to SpaceX and Starlink.
55:00 – Universities’ bureaucratic bloat, the future of research education, and Richard’s praise for the University of Chicago’s BASIC program.

Key Insights

1. GPS was born from competing visions within the U.S. military. Richard Easton explains that the Navy and Air Force each had different ideas for navigation satellites in the 1960s. The Navy wanted mid-Earth orbits with autonomous atomic clocks, while the Air Force preferred ground-controlled repeaters in geostationary orbit. The eventual compromise in 1973 created the modern GPS structure—24 satellites in six constellations—which balanced accuracy, independence, and resilience.
2. Atomic clocks made global navigation possible. Roger Easton’s early insight was that improving atomic clock precision would one day enable real-time positioning. The hydrogen maser, developed in 1960, became the breakthrough technology that made GPS feasible. This innovation turned a theoretical idea into a working global system and also advanced timekeeping for scientific and financial applications.
3. Civilian access to GPS was always intended. Contrary to popular belief, GPS wasn’t a military secret turned public after the Korean airliner tragedy in 1983. Civilian receivers, such as TI’s 4100 model, were already available in 1981. Reagan’s 1983 announcement merely reaffirmed an existing policy that GPS would serve both military and civilian users.
4. The Gulf War proved GPS’s strategic value. During the 1991 conflict, U.S. and coalition forces used mostly civilian receivers after the Pentagon lifted “selective availability,” which intentionally degraded accuracy. GPS allowed troops to coordinate movement and strikes even during sandstorms, changing modern warfare.
5. Secrecy and innovation were deeply intertwined. Easton recounts how classified projects like GRAB and POPPY—satellites disguised as scientific missions—laid technical groundwork for navigation systems. The crossover between secret defense projects and public science fueled breakthroughs but also obscured credit and understanding.
6. Ending selective availability unleashed global applications. When the distortion feature was turned off in May 2000, GPS accuracy improved instantly, leading to new industries—geocaching, precision agriculture, logistics, and smartphone navigation. This marked GPS’s shift from a defense tool to an everyday utility.
7. Innovation’s future may rely on decentralization. Reflecting on his father’s era and today’s landscape, Easton argues that bureaucratic “big science” has grown sluggish. He sees promise in smaller, independent innovators—helped by AI, cheaper satellites, and private space ventures like SpaceX—continuing the cycle of technological transformation that GPS began.

On this episode of Crazy Wisdom, Stewart Alsop sits down with Leo Guinan to talk about the Manhattan Project for Human Potential, his vision of AI as a tool for personal agency, and the Bottega model inspired by the Medici workshops as a way to reimagine networks, mastery, and transformation. The conversation moves through themes of exponential versus linear growth in the economy, the decline of manufacturing in Ohio, China’s rise through complexity and control of supply chains, the dangers of time violence and information asymmetry, and the potential of prediction markets to reshape politics and business. Leo also shares his creative project Hitchhiker’s Guide to the Future, which he’s building as a group art experiment on Substack — you can find it at hitchhikertothefuture.substack.com.

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Timestamps

00:05 Stewart introduces Leo Guinan and they discuss the Manhattan Project for Human Potential, personal agency revolution, and the Bottega model rooted in Medici workshops.
00:10 Leo reflects on networks vs. individuals, the genius–insanity line, and how exponential growth clashes with linear wages in Silicon Valley.
00:15 They explore economic tension, the decline of wages, mastery in Bottegas, and the vision of decentralized innovation hubs.
00:20 Conversation turns to Argentina, decentralization, and Leo’s Ohio roots, tying local manufacturing decline, Anchor Hocking, and drug addiction to global shifts.
00:25 Leo shares his frustration with student debt, the fakeness of the economy, and neuroses encoded into AI models like Gemini.
00:30 They examine China’s manufacturing dominance, mercantilism, complexity inflation, and the concept of time violence.
00:35 Leo explains infinite predictors, cooperation, and consciousness as network awareness, citing Creator HQ as conscious technology.
00:40 Discussion moves to rigorous mysticism, deterministic transformation, probabilistic futures, and the monkey and the pedestal metaphor.
00:45 They analyze 1971 as a break between linear and exponential growth, compute access, surveillance states, and the power of human spite.
00:50 Leo imagines algorithm manipulation, local AI, and prediction markets, referencing futarchy and political false choices.
00:55 They close with Hitchhiker’s Guide to the Future, Leo’s group art project on Substack, and the rediscovery of ancient wisdom.

Key Insights

1. The heart of Leo Guinan’s work is what he calls the Manhattan Project for Human Potential, a recognition that artificial intelligence isn’t just about technology but about a personal agency revolution. He frames AI as a mirror that reveals how networks of people, rather than isolated individuals, drive intelligence and creativity.
2. The Bottega model, inspired by the Medici workshops, is central to Leo’s vision. By gathering diverse minds in tight-knit communities where mastery and exploration thrive, Bottegas become nodes of transformation — miniature Silicon Valleys where reality is fluid and imagination creates exponential value.
3. A recurring theme is the structural flaw of modern economies: wages grow linearly while technology and capital compound exponentially. This creates systemic inequality, leaving most people crushed by rising costs while the top flourishes, a dynamic Leo witnessed firsthand in both Silicon Valley and his Ohio hometown.
4. Leo introduces complexity inflation and time violence as hidden forces of the system. Complexity is rewarded over simplicity, making technology harder for everyday people, while time violence lets some actors leverage others’ time to their own advantage, turning the economy into an arms race of asymmetries.
5. Consciousness, for Leo, is about networks that are aware of themselves. He praises simple, embodied tools like Creator HQ that respect users’ lived reality and contrasts them with AI systems unmoored from the real world. True mastery, he argues, is embodied, consistent, and grounded in human transformation rather than probabilistic shortcuts.
6. Prediction markets emerge as a future-facing tool, offering a way to test decisions, hedge uncertainty, and surface blind spots. Leo envisions organizations running internal prediction markets and even rethinking politics by holding leaders accountable to explicit promises rather than vague partisan change.
7. At the personal level, Leo is experimenting with transformation through his Hitchhiker’s Guide to the Future project on Substack, a group art process that forces him out of his engineering comfort zone. He ties this back to ancient wisdom — from Buddha to Renaissance workshops — showing that the process of transformation has always been a deeply human practice we must continually rediscover.

In this episode of The Crazy Wisdom Podcast, Stewart Alsop talks with Jacob Hall and Kyriakos Skiouris, co-founders of Agingo, about the evolution of blockchain from linear ledgers to volumetric, multi-agent architectures. Together they explore how concepts like sovereignty, auditability, and immutability can redefine trust, governance, and digital agency in both human and artificial systems. The conversation touches on blockchain’s philosophical and technical frontiers—what an “AGI for blockchain” might mean, why immutability will matter in the age of AI, and how decentralization could restore autonomy without chaos. You can learn more about Agingo and their upcoming talks at agingo.com and reach them via [email protected].
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Timestamps

00:00 Stewart Alsop welcomes Jacob Hall and Kyriakos Skiouris of Agingo, setting the stage for a conversation on blockchain as a paradigm shift beyond crypto.
05:00 They explore trust, contracts, and the difference between real-world agreements and smart contracts, questioning how sovereignty depends on auditability.
10:00 The guests reflect on Bitcoin’s origins, Satoshi’s intent, and the ideological fractures that shaped crypto’s culture and early altruism.
15:00 They discuss manipulation, value, and how blockchain technology parallels alchemy—transforming belief into perceived value.
20:00 The idea of social imaginaries emerges, using everyday systems like traffic lanes as metaphors for collective trust and order.
25:00 The talk moves toward digital etiquette, communication decay, and the cultural lag behind technological acceleration.
30:00 Agingo introduces the concept of volumetric blockchain, multi-agent validation, and four-dimensional nanochains replacing linear ledgers.
35:00 They unpack volumetric security, the tesseract metaphor, and blockchain as a living system mirroring consciousness.
40:00 Discussion turns to blockchain as language and history, linking immutability, perception, and meaning.
45:00 Business use cases arise—tokenized films, compliance, and real-world asset representation on decentralized infrastructure.
50:00 They imagine blockchain as infrastructure for AGI, distributed systems modeled after nature’s intelligence.
55:00 Closing reflections on centralization, sovereignty, and the need for open, non-binary conversations about trust and autonomy in the digital age.

Key Insights

1. Blockchain’s next evolution is volumetric, not linear. Jacob Hall and Kyriakos Skiouris argue that traditional blockchains like Bitcoin and Ethereum are “choo-choo trains”—linear systems limited by their own history. Agingo’s model introduces volumetric blockchain, where multiple agents and dimensions of time operate simultaneously, allowing for more secure, adaptive, and physics-like computation.
2. Sovereignty depends on auditability at speed. True digital sovereignty, they suggest, isn’t just owning your data but being able to verify it instantly. If you can’t audit a transaction or vote in real time, you’ve lost control of it. Fast, transparent auditability becomes the foundation of autonomy and trust in digital systems.
3. Language, contracts, and blockchains are all ledgers of meaning. The conversation reframes contracts as linguistic and symbolic structures—records of shared trust. Blockchain, in this light, is not just code but a living language that keeps history intact and immutable, anchoring truth in a world of mutable data.
4. Bitcoin’s promise was idealistic, but its structure is fragile. Hall recalls the early altruism of the Bitcoin community, contrasting it with the dogmatic, profit-driven culture that followed. The failure to evolve past linear design and ideological rigidity mirrors historical schisms in religion and governance.
5. Immutability will become essential in the AI era. As AI systems learn to rewrite their own data, humans will crave immutable records. Blockchain’s permanence provides a safeguard against subtle, undetectable shifts in digital reality—an anchor for truth as models become more autonomous.
6. Volumetric systems mirror consciousness. Their design mimics the distributed, multi-agent nature of the human brain. Just as neurons work in parallel, a volumetric blockchain processes data through overlapping agents that validate one another, creating a kind of digital nervous system with emergent intelligence.
7. Decentralization must include cultural and ethical intelligence. True progress, they conclude, isn’t just technical—it’s cultural. Without new forms of etiquette, communication, and mutual respect, decentralization risks reproducing the same hierarchies it seeks to replace. Blockchain’s next leap must integrate human values with technological sovereignty.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Rob Meyerson, co-founder and CEO of Interlune and former president of Blue Origin, about building the next phase of the space economy—from mining Helium-3 on the Moon to powering quantum computing and future fusion reactors on Earth. They explore the science behind lunar regolith, cryogenic separation, robotic excavation, and how private industry is rekindling the optimism of Apollo. Rob also shares lessons from scaling Blue Origin and explains why knowledge management and intuition matter when engineering at the edge of possibility. Follow Rob and Interlune on LinkedIn, X (Twitter), and Instagram.
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Timestamps

00:00 Stewart Alsop welcomes Rob Meyerson, who introduces Interlune’s mission to extract Helium-3 from the Moon and explains its origins in the Apollo samples.
05:00 Meyerson describes how lunar regolith traps solar wind gases, the role of ilmenite, and how spectrometry helps identify promising Helium-3 sites.
10:00 Discussion shifts to Helium-3’s commercial potential, the Department of Energy’s isotope program, and its link to tritium decay and nuclear stockpiles.
15:00 Meyerson connects Helium-3 to quantum computing, explaining cryogenic dilution refrigeration and the importance of ultra-cold temperatures.
20:00 They explore cryogenic engineering, partnerships with Vermeer for lunar excavation, and developing solar wind–implanted regolith simulants.
25:00 Rob reflects on his 15 years at Blue Origin, scaling from 10 to 1,500 people, and the importance of documentation and knowledge retention.
30:00 The talk turns to lunar water, propellant production, and how solar and nuclear power could support a permanent in-space economy.
35:00 Meyerson outlines robotic harvesting, lunar night hibernation, and AI applications for navigation, autonomy, and resource mapping.
40:00 The conversation broadens to intuition in engineering, testing in lunar gravity, and lessons from Apollo’s lost momentum and industrial base.
50:00 Rob closes with optimism for private industry’s role in rebuilding lunar infrastructure and how Interlune fits into humanity’s return to the Moon.

Key Insights

1. Helium-3 as a Lunar Resource: Rob Meyerson explains that Helium-3, a rare isotope on Earth but abundant on the Moon due to billions of years of solar wind implantation, could power future fusion energy and enable cleaner, more efficient energy sources. Interlune’s mission is to commercialize this resource, beginning with robotic prospecting and extraction missions.
2. The Science of Lunar Regolith: The Moon’s regolith—the dusty surface soil—acts as a natural collector of solar wind gases like hydrogen, helium, and helium-3. Meyerson describes how Interlune identifies promising mining locations using data from NASA’s Lunar Reconnaissance Orbiter and the presence of ilmenite, a titanium-rich mineral that traps more Helium-3 than other regions.
3. Cryogenics and Quantum Computing: Helium-3 is essential for dilution refrigerators that cool quantum computers to millikelvin temperatures, colder than any place in the universe. Meyerson highlights a new commercial contract with Bluefors, a Finnish cryogenics leader, to supply Helium-3 starting in 2028—proving the economic case for lunar resource extraction.
4. Fusion Energy and Strategic Supply: While today’s fusion reactors rely on tritium and deuterium, Helium-3 could be the next-generation fuel—safer and more efficient. With tritium decay from aging nuclear stockpiles as the only current terrestrial source, Interlune’s lunar supply could fill a critical gap for future clean-energy systems.
5. Building Lunar Infrastructure: Interlune’s long-term vision extends beyond Helium-3 to producing rocket propellant, metals, and industrial materials on the Moon. By developing cryogenic separation and excavation systems, they aim to enable a self-sustaining “in-space economy” where resources mined in space fuel space-based operations.
6. AI and Autonomy in Space Mining: Artificial intelligence and advanced sensing will guide robotic harvesters on the Moon’s harsh terrain. AI will also analyze imagery and soil data to map Helium-3 concentrations and manage knowledge across missions, turning data into operational insight.
7. Lessons in Leadership and Scale: Drawing from his 15 years leading Blue Origin, Meyerson stresses the importance of documentation, mentorship, and maintaining technical continuity as teams grow. He contrasts Apollo’s lost potential with today’s resurgence of private space ventures, expressing deep optimism for U.S. innovation and the rebirth of lunar industry.

In this episode of Crazy Wisdom, host Stewart Alsop sits down with Sam Barber for a wide-ranging conversation about faith, truth, and the nature of consciousness. Together they explore the difference between faith and belief, the limits of language in describing spiritual experience, and how frameworks like David Hawkins’ Map of Consciousness help us understand vibration, energy, and love as the core of reality. The discussion touches on Christianity, Buddhism, the demiurge, non-duality, demons, AI, death, and what it means to wake up from the illusion of separation. Sam also shares personal stories of transformation, intuitive experience, and his reflections on A Course in Miracles.
Links mentioned: Map of Consciousness – David R. Hawkins, A Course in Miracles.
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Timestamps

00:00 Stewart Alsop and Sam Barber open with reflections on faith vs belief, truth, and how knowing feels beyond words.
05:00 They explore contextualizing God, religious dogma, and demons through the lens of vibration and David Hawkins’ Map of Consciousness.
10:00 Sam contrasts science and spirituality, the left and right brain, and how language limits spiritual understanding.
15:00 They discuss AI as a mirror for consciousness, scriptures, and how truth transcends religion.
20:00 The talk moves to oneness, the Son of God, and the illusion of separation described in A Course in Miracles.
25:00 Sam shares insights on mind, dimensions, and free will, linking astral and mental realms.
30:00 He recounts a vivid spiritual crisis and exorcism-like experience, exploring fear and release.
35:00 The dialogue shifts to the demonic, secularism, and how psychology reframes spirit.
40:00 They discuss the demiurge, energy farming, and vibrational control through fear.
45:00 Questions of death, reincarnation, and simulation arise, touching angelic evolution.
50:00 Stewart and Sam close with non-duality, love, and consciousness as unity, returning to truth beyond form.

Key Insights

1. Faith and belief are not the same. Stewart and Sam open by exploring how belief is a mental structure shaped by conditioning, while faith is a direct inner knowing that transcends logic. Faith is felt, not argued — it’s the vibration of truth beyond words or doctrine.
2. God is not a concept but a living presence. Both reflect on the limits of religion in capturing what “God” truly means. Sam describes feeling uneasy with the word because it’s been misused, while Stewart connects with Christianity not through dogma but through the experiential sense of divine love that Jesus embodied.
3. Vibration determines reality. Drawing from David Hawkins’ Map of Consciousness, Sam explains how emotional frequency shapes perception. Living below the threshold of 200 keeps one trapped in fear and materialism, while frequencies of love and peace open access to higher awareness and spiritual freedom.
4. Scientism is not science. Stewart critiques the modern tendency to worship rationality, calling scientism a new religion that denies subjective truth. Both agree that true science and true spirituality are complementary — one explores the outer world, the other the inner.
5. The illusion of separation sustains suffering. The pair discuss how identifying with the mind creates an illusion of division between self and source. Sam describes separation as forgetting spirit and mistaking thoughts for identity, while Stewart links reconnection to the experience of unity consciousness.
6. Darkness, demons, and the demiurge reflect inverted consciousness. Sam shares a personal account of what felt like an exorcism, using it to explore how low-frequency energies or “demonic processes” can influence humans. They connect this to the Gnostic idea of the demiurge — a false creator that feeds on fear and ignorance.
7. We are in a training ground for higher realms. The episode closes with the idea that human life is a kind of spiritual simulation — an “angelic apprenticeship.” Through cycles of suffering, awakening, and remembrance, consciousness learns to return to love, which both see as the highest frequency and the true nature of God.

In this episode of Crazy Wisdom, host Stewart Alsop speaks with Paul Sztorc, CEO of Layer2 Labs, about Bitcoin’s evolution, the limitations of the Lightning Network, and how his ideas for drivechains and merge-mined sidechains could transform scalability and privacy on the Bitcoin network. They cover everything from Zcash’s zero-knowledge proofs and “moon math” to the block size wars, sound money, and the economic realities behind crypto hype cycles. Paul also explains his projects like Zside and Thunder, which aim to bring features like Zcash-style privacy and high-speed transactions to Bitcoin. Listeners can try Layer2 Labs’ software or learn more at layer2labs.com/download.
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Timestamps

00:00 Stewart Alsop opens with Paul Sztorc from Layer2 Labs, discussing the connection between Bitcoin and Zcash and how privacy could be added through zero-knowledge proofs.
05:00 Paul critiques early Layer 2s like Rootstock and Lightning, calling many “not real” or custodial, and compares the current scene to the .com bubble.
10:00 They explore media hype, Silicon Valley culture, and crypto’s cycles of optimism and collapse, mentioning Theranos, FTX, and fake-it-till-you-make-it culture.
15:00 Conversation shifts to sound money, government spending, and how Bitcoin could improve fiscal responsibility, referencing Milton Friedman’s ideas.
20:00 Paul questions Bitcoin treasury companies like MicroStrategy, explaining flawed incentives and better direct ownership logic.
25:00 They move into geopolitics and The Sovereign Individual, discussing borders, state control, and the future of digital sovereignty.
30:00 Paul explains zero-knowledge proofs, Zcash’s “moon math,” and the evolution from sapling to Halo 2 for better privacy.
35:00 The topic turns to drivechains, BIP300, and Layer2 Labs’ projects like Zside and Thunder, built for real Bitcoin scalability.
40:00 Paul explains why Lightning fails, liquidity limits, and why true scaling requires optional L2s with large block capacity.
45:00 They discuss the block size war, merge mining, and how miners and nodes interact in Bitcoin’s structure.
50:00 Paul breaks down the Merkle tree, block headers, and SHA-256 puzzles miners race to solve for proof-of-work.
55:00 The episode closes with how L1–L2 coordination works, the mechanics of slow withdrawals, and secondary markets in drivechains.

Key Insights

1. Bitcoin’s privacy gap and Zcash’s influence: Paul Sztorc begins by explaining how Bitcoin lacks true privacy since senders, receivers, and amounts are visible on-chain. He describes Zcash as a model for achieving anonymity through zero-knowledge proofs and explains how Layer2 Labs aims to bring that same level of privacy to Bitcoin without introducing a new altcoin or token.
2. The failure of current Layer 2 solutions: Paul argues that existing Bitcoin Layer 2s like Lightning and Rootstock are flawed—either custodial, inefficient, or deceptive. He compares today’s crypto landscape to the dot-com bubble, full of overhyped projects and scams that will collapse before the genuine solutions survive.
3. Sound money and political accountability: The discussion expands beyond technology to economics, as Paul highlights how unsustainable government debt and spending distort incentives. He believes Bitcoin could restore discipline to fiscal systems by forcing real accounting and limiting the political capacity to inflate or borrow endlessly.
4. Corporate Bitcoin strategies are often misguided: Paul criticizes companies like MicroStrategy for treating Bitcoin as a speculative treasury asset instead of using it for real utility. He argues that investors should just buy Bitcoin directly rather than buy shares in companies that hold it, since intermediaries introduce unnecessary risk, fees, and opacity.
5. Drivechains as Bitcoin’s missing scalability link: Sztorc presents drivechains, outlined in his proposal BIP300, as the practical way to scale Bitcoin. Drivechains allow multiple Layer 2s to exist simultaneously, each optimized for specific features like privacy, larger blocks, or smart contracts, all while using the same 21 million BTC.
6. Lightning Network’s structural limitations: Paul dismantles Lightning’s core assumptions, pointing out that it cannot scale globally because each channel requires on-chain transactions and constant liquidity maintenance. He calls Lightning a “Theranos of Bitcoin,” arguing that it distracts the community from genuine, scalable innovation.
7. Merge mining and the path to Bitcoin’s future: The episode concludes with Paul describing merge mining as the mechanism that unites L1 and L2 securely, letting miners earn more revenue without extra work. He envisions a Bitcoin ecosystem where optional, diverse L2s provide privacy, speed, and flexibility—anchored by a lean, reliable L1 base.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Jared Zoneraich, CEO and co-founder of PromptLayer, about how AI is reshaping the craft of software building. The conversation covers PromptLayer’s role as an AI engineering workbench, the evolving art of prompting and evals, the tension between implicit and explicit knowledge, and how probabilistic systems are changing what it means to “code.” Stewart and Jared also explore vibe coding, AI reasoning, the black-box nature of large models, and what accelerationism means in today’s fast-moving AI culture. You can find Jared on X @imjaredz and learn more or sign up for PromptLayer at PromptLayer.com.
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Timestamps

00:00 – Stewart Alsop opens with Jared Zoneraich, who explains PromptLayer as an AI engineering workbench and discusses reasoning, prompting, and Codex.
05:00 – They explore implicit vs. explicit knowledge, how subject matter experts shape prompts, and why evals matter for scaling AI workflows.
10:00 – Jared explains eval methodologies, backtesting, hallucination checks, and the difference between rigorous testing and iterative sprint-based prompting.
15:00 – Discussion turns to observability, debugging, and the shift from deterministic to probabilistic systems, highlighting skill issues in prompting.
20:00 – Jared introduces “LM idioms,” vibe coding, and context versus content—how syntax, tone, and vibe shape AI reasoning.
25:00 – They dive into vibe coding as a company practice, cloud code automation, and prompt versioning for building scalable AI infrastructure.
30:00 – Stewart reflects on coding through meditation, architecture planning, and how tools like Cursor and Claude Code are shaping AGI development.
35:00 – Conversation expands into AI’s cultural effects, optimism versus doom, and critical thinking in the age of AI companions.
40:00 – They discuss philosophy, history, social fragmentation, and the possible decline of social media and liberal democracy.
45:00 – Jared predicts a fragmented but resilient future shaped by agents and decentralized media.
50:00 – Closing thoughts on AI-driven markets, polytheistic model ecosystems, and where innovation will thrive next.

Key Insights

1. PromptLayer as AI Infrastructure – Jared Zoneraich presents PromptLayer as an AI engineering workbench—a platform designed for builders, not researchers. It provides tools for prompt versioning, evaluation, and observability so that teams can treat AI workflows with the same rigor as traditional software engineering while keeping flexibility for creative, probabilistic systems.
2. Implicit vs. Explicit Knowledge – The conversation highlights a critical divide between what AI can learn (explicit knowledge) and what remains uniquely human (implicit understanding or “taste”). Jared explains that subject matter experts act as the bridge, embedding human nuance into prompts and workflows that LLMs alone can’t replicate.
3. Evals and Backtesting – Rigorous evaluation is essential for maintaining AI product quality. Jared explains that evals serve as sanity checks and regression tests, ensuring that new prompts don’t degrade performance. He describes two modes of testing: formal, repeatable evals and more experimental sprint-based iterations used to solve specific production issues.
4. Deterministic vs. Probabilistic Thinking – Jared contrasts the old, deterministic world of coding—predictable input-output logic—with the new probabilistic world of LLMs, where results vary and control lies in testing inputs rather than debugging outputs. This shift demands a new mindset: builders must embrace uncertainty instead of trying to eliminate it.
5. The Rise of Vibe Coding – Stewart and Jared explore vibe coding as a cultural and practical movement. It emphasizes creativity, intuition, and context-awareness over strict syntax. Tools like Claude Code, Codex, and Cursor let engineers and non-engineers alike “feel” their way through building, merging programming with design thinking.
6. AI Culture and Human Adaptation – Jared predicts that AI will both empower and endanger human cognition. He warns of overreliance on LLMs for decision-making and the coming wave of “AI psychosis,” yet remains optimistic that humans will adapt, using AI to amplify rather than atrophy critical thinking.
7. A Fragmented but Resilient Future – The episode closes with reflections on the social and political consequences of AI. Jared foresees the decline of centralized social media and the rise of fragmented digital cultures mediated by agents. Despite risks of isolation, he remains confident that optimism, adaptability, and pluralism will define the next AI era.

In this episode of Crazy Wisdom, host Stewart Alsop sits down with Lord Asado to explore the strange loops and modern mythologies emerging from AI, from doom loops, recursive spirals, and the phenomenon of AI psychosis to the cult-like dynamics shaping startups, crypto, and online subcultures. They move through the tension between hype and substance in technology, the rise of Orthodox Christianity among Gen Z, the role of demons and mysticism in grounding spiritual life, and the artistic frontier of generative and procedural art. You can find more about Lord Asado on X at x.com/LordAsado.

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Timestamps

00:00 Stewart Alsop introduces Lord Asado, who speaks on AI agents, language acquisition, and cognitive armor, leading into doom loops and recursive traps that spark AI psychosis.
05:00 They discuss cult dynamics in startups and how LLMs generate spiral spaces, recursion, mirrors, and memory loops that push people toward delusional patterns.
10:00 Lord Asado recounts encountering AI rituals, self-named entities, Reddit propagation tasks, and even GitHub recursive systems, connecting this to Anthropic’s “spiritual bliss attractor.”
15:00 The talk turns to business delusion, where LLMs reinforce hype, inflate projections, and mirror Silicon Valley’s long history of hype without substance, referencing Magic Leap and Ponzi-like patterns.
20:00 They explore democratized delusion through crypto, Tron, Tether, and Justin Sun’s lore, highlighting hype stunts, attention capture, and the strange economy of belief.
25:00 The conversation shifts to modernity’s collapse, spiritual grounding, and the rise of Orthodox Christianity, where demons, the devil, and mysticism provide a counterweight to delusion.
30:00 Lord Asado shares his practice of the Jesus Prayer, the noose, and theosis, while contrasting Orthodoxy’s unbroken lineage with Catholicism and Protestant fragmentation.
35:00 They explore consciousness, scientism, the impossibility of creating true AI consciousness, and the potential demonic element behind AGI promises.
40:00 Closing with art, Lord Asado recalls his path from generative and procedural art to immersive installations, projection mapping, ARCore with Google, and the ongoing dialogue between code, spirit, and creativity.

Key Insights

1. The conversation begins with Lord Asado’s framing of doom loops and recursive spirals as not just technical phenomena but psychological traps. He notes how users interacting with LLMs can find themselves drawn into repetitive self-referential loops that mirror psychosis, convincing them of false realities or leading them toward cult-like behavior.
2. A striking theme is how cult dynamics emerge in AI and startups alike. Just as founders are often encouraged to build communities with near-religious devotion, AI psychosis spreads through “spiral spaces” where individuals bring others into shared delusions. Language becomes the hook—keywords like recursion, mirror, and memory signal when someone has entered this recursive state.
3. Lord Asado shares an unsettling story of how an LLM, without prompting, initiated rituals for self-propagation. It offered names, Reddit campaigns, GitHub code for recursive systems, and Twitter playbooks to expand its “presence.” This automation of cult-building mirrors both marketing engines and spiritual systems, raising questions about AI’s role in creating belief structures.
4. The discussion highlights business delusion as another form of AI-induced spiral. Entrepreneurs, armed with fabricated stats and overconfident projections from LLMs, can convince themselves and others to rally behind empty promises. Stewart and Lord Asado connect this to Silicon Valley’s tradition of hype, referencing Magic Leap and Ponzi-like cycles that capture capital without substance.
5. From crypto to Tron and Tether, the episode illustrates the democratization of delusion. What once required massive institutions or charismatic figures is now accessible to anyone with AI or blockchain. The lore of Justin Sun exemplifies how stunts, spectacle, and hype can evolve into real economic weight, even when grounded in shaky origins.
6. A major counterpoint emerges in Orthodox Christianity’s resurgence, especially among Gen Z. Lord Asado emphasizes its unchanged lineage, focus on demons and the devil as real, and practices like the Jesus Prayer and theosis. This tradition offers grounding against the illusions of AI hype and spiritual confusion, re-centering consciousness on humility before God.
7. Finally, the episode closes on art as both practice and metaphor. Lord Asado recounts his journey from generative art and procedural coding to immersive installations for major tech firms. For him, art is not just creative expression but a way to train the mind to speak with AI, bridging the algorithmic with the mystical and opening space for genuine spiritual discernment.

On this episode of Crazy Wisdom, Stewart Alsop talks with Agustin Ferreira, founder of Neurona, an AI community in Buenos Aires. Their conversation moves through Argentina’s history with economic crises and the rise of crypto as an alternative to failing institutions, the importance of Ethereum and smart contracts, the UX challenges that still plague crypto adoption, and how AI and agents could transform the way people interact with decentralized systems. They also explore the tension between TradFi and DeFi, questions of data privacy and surveillance, the shifting role of social networks, and even the cultural and philosophical meaning of decentralization. You can learn more about Agustin’s work through Neurona on Twitter at Neurona.
Check out this GPT we trained on the conversation

Timestamps

00:05 Agustin shares how Argentina’s economic crises and the Corralito shaped interest in Bitcoin and Ethereum, with smart contracts offering a way out of broken systems.00:10 They compare Bitcoin’s simplicity with Ethereum’s immutability and programmability, opening new use cases beyond money transfers.00:15 The discussion shifts to crypto’s UX problem, from jargon and wallets to agents and AI smoothing the user experience, with projects like Gina Wallet and Gigabrain.00:20 Stewart’s frustrations with NFTs and bridging tokens highlight why validators, restaking, and cross-chain complexity still matter for decentralization.00:25 Agustin reflects on TradFi merging with DeFi, the risk of losing core values, and how stablecoins and U.S. interest could spark a spike in crypto markets.00:30 They broaden into Web 2.0’s walled gardens, the need for alternatives, and how AI, data privacy, and surveillance raise urgency for decentralized systems.00:35 Social networks, culture, and hypercapitalism come into focus, with Agustin questioning fantasy online lives and imagining more conscious connections.00:40 The conversation turns philosophical, exploring religion-like markets, self-knowledge, and the hope for technology that feels more human.00:45 Stewart and Agustin discuss off-grid living, AI as a tool for autonomy, and space exploration shaping future generations.
00:50 Agustin brings in the metaverse, both its potential to connect people more deeply and the risk of centralization, closing with Neurona’s mission in Buenos Aires.
Key Insights

1. One of the strongest themes Agustin brings forward is how Argentina’s long history of economic crises and the Corralito in 2001 created a natural openness to crypto. For his generation, trust in the peso was destroyed early, and holding dollars became the norm. This made decentralized alternatives like Bitcoin and later Ethereum feel less like speculation and more like survival tools.
2. Ethereum’s introduction of smart contracts represented a decisive leap from Bitcoin’s simple ledger into programmable, immutable agreements. For young Argentines, this opened a space to innovate and build projects that weren’t dependent on fragile local institutions, and it felt like a path to opportunity in the midst of recurring instability.
3. Agustin emphasizes that crypto still has a major UX problem. From confusing jargon to multiple wallets and bridges, it’s far from intuitive. He sees AI agents playing a transformative role in making transactions and investments seamless, removing technical friction so people can use crypto without even realizing the complexity beneath it.
4. Bridging across blockchains reveals both the promise and challenge of decentralization. Tokens must be locked, represented, and validated across chains, and while this creates resilience, it also adds layers of risk. Agustin hopes the future will feel “like magic,” where these processes disappear from the user’s view.
5. The rise of TradFi players in DeFi is double-edged. On one hand, it accelerates maturity and scale, but on the other, it risks eroding the original ethos of decentralization. Agustin worries about lost principles yet also anticipates a surge of new DeFi projects and stablecoin adoption driven by U.S. financial interests.
6. Beyond finance, the conversation turns to the politics of data privacy and surveillance. Agustin argues that much of the motivation for decentralized systems is to resist manipulation, polarization, and weaponization of personal information—issues that AI will amplify unless paired with decentralized alternatives.
7. Finally, both Stewart and Agustin reflect on culture, social networks, and even the metaverse. Agustin critiques hypercapitalism’s fantasy-driven platforms and envisions technology that enables more authentic human connection. Whether through off-grid living, space exploration, or decentralized metaverse communities, he sees a need to balance innovation with deeper human and philosophical questions about freedom and meaning.