Crazy Wisdom

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mauro Schilman, CTO and Co-founder of Tuki, the distribution standard for the AI agent era in travel, for a wide-ranging conversation that moves from the joys of international travel and the beauty of mathematics to the fast-evolving world of AI and large language models. Mauro shares his background as a math Olympiad competitor and later a coach, his time training coding models at the AI company Cohere, and his thoughts on how frontier models are progressing — or plateauing — at the foundational level while innovation accelerates at the application layer. The two also get into the mechanics of agentic AI, MCP and agent-to-agent protocols, hierarchical memory systems, red-green test-driven development as a powerful coding workflow, and the philosophical murkiness of open-source AI. They wrap up discussing Tuki Travel's mission to build AI-ready infrastructure for the travel industry, connecting hotels, suppliers, and online travel agencies to prepare for the coming wave of agentic commerce. You can learn more about Tuki Travel and reach out to the team at tukiclub.com. Timestamps 00:00 - Stewart welcomes Mauro Schilman, CTO and Co-founder of Tuki Travel, who shares how traveling since age 15 through high school exchanges opened his mind to cultural similarities and differences. 05:00 - Mauro explains Math Olympiad coaching culture and mentorship, noting LLMs now solve competition-level problems while Terence Tao explores AI assisting frontier unsolved mathematics. 10:00 - Discussion turns to ChatGPT revealing Mauro's birthdate unprompted, exposing opaque application layers, preference tuning, and system prompts hidden within closed models. 15:00 - Mauro argues true open source AI requires full training data, annotation protocols, and alignment processes, not just model weights, while scaling laws appear to be slowing. 20:00 - Hierarchical memory models replace flat vector databases, using three-level retrieval systems improving context accuracy as knowledge management becomes AI's core challenge. 25:00 - Mauro describes travel's fragmented infrastructure of aggregators, bed banks, and intermediaries, explaining Tuki builds agent-ready unification protocols for AI commerce. 30:00 - MCP versus API debate clarifies natural language capability descriptions help agents consume services, while agent-to-agent communication embeds negotiating agents inside supplier systems. 35:00 - Hallucinations and consumer trust block agentic payments, industries must build mistake-resilience into bookings before autonomous agent transactions become viable. 40:00 - Mauro reveals red-green test-driven development methodology where agents write failing tests first then implementations, creating Oracle verification loops dramatically improving code quality. 45:00 - Blockchain's potential for transparent distributed AI training discussed, distinguishing democratization from decentralization while stable coins and regulatory momentum build toward agentic commerce infrastructure. Key Insights 1. Travel broadens perspective by revealing both universal human similarities and deep cultural differences. Mauro Schilman began traveling at fifteen through math olympiad competitions and found that people across the world share fundamental traits while also being shaped in profoundly different ways by their cultures. This tension between sameness and difference is what makes travel meaningful. 2. Mathematics transitions from structured problem-solving in olympiads to genuine uncertainty in graduate school and research. Olympiad problems are carefully designed with elegant solutions meant to encourage creative thinking, but once a mathematician enters academia, the answers are unknown and the work becomes navigating that uncertainty. 3. AI is now assisting mathematicians at the frontier, not just solving olympiad-level problems. Terence Tao, one of the greatest living...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Nicholas Faulkner, author of Angelic Physics, for a wide-ranging conversation that picks up where their last discussion left off years ago. The two cover an impressive amount of ground, including the map of consciousness developed by Dr. David Hawkins and where they find themselves skeptical of his calibration methods, the relationship between the chakra system and Hawkins' scale, how consciousness levels apply to both individuals and civilizations, and why collapsing a nonlinear reality into a linear number system inevitably loses something essential. They also get into Nicholas's background as a nuclear engineer and how that analytical foundation shapes his thinking, the nature of carbon-based versus silicon-based intelligence, the potential for training an AI model attuned to higher levels of consciousness, the concept of future shock as AI accelerates beyond most people's ability to keep up, and what a civilization operating at the "500 level" might actually look like. Find Nicholas on X at @PhysicsAngelic, or catch him on Facebook where he's most active. And learn more about Angelic Physics at angelicphysics.org. Timestamps 00:00 - Stewart introduces Nicholas Faulkner, author of Angelic Physics, framing their shared interest in David Hawkins while acknowledging healthy skepticism toward portions of his work. 05:00 - Nicholas argues Hawkins compressed mystical insight into linear form, losing essence, comparing it to AI compression losing vibrational nuance across the consciousness scale. 10:00 - Nicholas traces his path from electrical engineering through 9/11 into nuclear navy service, describing how patriotism and opportunity drove the decision rather than curiosity. 15:00 - Discussion shifts toward training an open-source AI model on five-hundreds consciousness, noting current model builders operate in the four-hundreds and dismiss love-based frameworks. 20:00 - Stewart reflects on intimate relationships with electronic devices, exploring electricity as vibration while contrasting carbon creativity against silicon's stable, fast processing architecture. 25:00 - Conversation explores civilizational evolution, comparing hippie movements to ancient Greeks as premature flowers of five-hundreds consciousness crushed by surrounding four-hundreds culture. 30:00 - Nicholas explains his masculine-feminine cross model, critiquing how Hawkins collapsed nonlinear reality into hierarchy, arguing all levels interconnect rather than rank. 35:00 - Discussion covers JFK assassination, Vietnam War, LBJ, and the military industrial complex as examples of four-hundreds power suppressing emerging consciousness shifts. 40:00 - Nicholas draws parallels between the Renaissance emerging from bubonic plague and today's post-COVID collapse of expert-trust structures opening space for new consciousness. 45:00 - Future shock discussion begins with Stewart describing AI agent orchestration overwhelming human comprehension, while Nicholas introduces his frame-rate consciousness equation linking silicon speed to small context. 50:00 - Nicholas describes silicon-to-human relationship mirroring humans-to-angels in frame rate and context scale, suggesting agents receive orders similarly to his own 2019 divine experience. 55:00 - Final exchange covers the fifth dimension as adding vibration to existing physics, the Faulkner Uncertainty Principle stating evidence points toward higher consciousness without ever definitively proving it, protecting reality's illegibility from lower forces. Key Insights 1. David Hawkins and the Map of Consciousness serve as a shared framework for the conversation, but both guests express healthy skepticism toward it. They acknowledge that Hawkins himself appeared to back away from his calibration technique in his later lectures, suggesting he regretted how prominently he featured it in Power vs. Force. The core issue is that he...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Lucas McKenna, Director of Europe at Point One Navigation, for a wide-ranging conversation about the future of robotics and autonomous systems. They cover topics including the SLAM algorithm and how robots map and position themselves in the world, the role of GPS and sensor fusion in precise localization, swarm robotics and the debate between centralized and decentralized robot intelligence, the differences between urban and rural robotics applications, specialized versus general-purpose robots, the business models around robot ownership and rental, and how autonomous mobility is taking shape differently in Europe versus the United States. They also touch on the cultural implications of robots becoming a fixture in everyday life and what it might mean for human community and connection. Show Notes - Lucas McKenna on LinkedIn: https://www.linkedin.com/in/lucas-mckenna-79269053/ - Point One Navigation: https://pointonenav.com Timestamps 00:00 - Stewart introduces Luca McKenna from Point One Navigation, diving into robotics and the SLAM algorithm for simultaneous localization and mapping. 05:00 - Luca explains swarm robotics, where multiple robots share environmental data, building collective maps that improve positioning accuracy over time. 10:00 - Discussion shifts to urban versus rural robot deployment, covering drone delivery limitations, obstacle avoidance challenges, and skyscraper navigation complexity. 15:00 - Luca distinguishes specialized versus general-purpose robots, predicting purpose-built machines like seed planters and window washers will dominate near-term deployment. 20:00 - Stewart raises unstructured visual data challenges, drawing parallels to AI text processing, while Luca details GPS infrastructure layers enabling precise robot positioning. 25:00 - Consumer robot visibility discussed, including Waymo expansion, autonomous delivery robots, and geographic limitations of current self-driving services. 30:00 - Robot ownership versus rental models explored, touching on rare earth mineral costs, Chinese supply chains, and economic barriers to personal robot ownership. 35:00 - Luca explains state estimation systems using GPS satellites, accelerometers, and gyroscopes working together, contrasting fundamental mathematics against machine learning approaches. 40:00 - Sensor fusion parallels between smartphones and autonomous vehicles revealed, explaining how phones mirror car navigation systems at reduced accuracy and cost. 45:00 - Conversation concludes examining robots impact on community culture, with Luca advocating autonomous public transit over individualist robotaxis to strengthen human connection. Key Insights 1. SLAM is foundational to robot navigation. Simultaneous Localization and Mapping (SLAM) allows robots to map their environment and position themselves within it using computer vision and LiDAR sensors. Unlike humans, who instinctively understand their surroundings, robots require precise algorithmic systems to avoid obstacles and navigate safely. 2. GPS and sensor fusion solve the positioning problem. Robots combine absolute sensors like GPS with relative sensors like accelerometers and gyroscopes to maintain accurate positioning. In challenging environments like tunnels or dense cities, these sensors compensate for each other, ensuring continuous and reliable location data. 3. Swarm robotics enables collective environmental intelligence. When one robot maps a new area, that data becomes available to all connected robots. This decentralized-yet-centralized model means the entire fleet benefits from each individual robot's experience, continuously improving map quality and navigation precision. 4. Specialized robots will dominate before general-purpose ones. Rather than multipurpose humanoid robots, the near-term future favors robots designed for single tasks—delivering food, planting seeds, or drawing...

Stewart Alsop sits down with Karol, a 3D generalist and digital artist with 25 years of experience, to talk about the evolving landscape of 3D art — from sculpting in ZBrush to the deep technical rabbit hole of Houdini, and how AI tools like Claude are quietly reshaping creative workflows. The conversation wanders into bigger territory: the singularity, accelerationism, the philosophical roots of Silicon Valley's techno-anxiety (including the Roko's Basilisk thought experiment and the writings of Nick Land), the slow unraveling of Hollywood's cultural monopoly, and what decentralized creative tools mean for independent artists. Stewart also points Karol toward the work of Fei-Fei Li and World Labs as a window into where 3D world modeling is heading next. Timestamps 00:00 — Karol's 25-year journey from Photoshop and 2D art into Cinema 4D and the world of 3D. 05:00 — Why Houdini blew the ceiling off every other 3D program, and how node-based coding changed Karol's creative process entirely. 10:00 — The tension between visual thinking and technical thinking, and how constant digital stimuli has degraded Karol's internal imagination. 15:00 — Stewart reflects on Claude Code and how AI is about to dissolve the technical barriers in Houdini the same way it did for programming. 20:00 — The Sphere in Las Vegas, projection mapping, drone polo, and Stewart's vision for intimate tech-integrated experiences. 25:00 — Roko's Basilisk, fear-driven accelerationism, and why Latin America never caught the Silicon Valley doomsday bug. 30:00 — Hollywood's cultural machine, shared Western boogeymen, and how decentralized 3D art is replacing the $100M production monopoly. 35:00 — Karol's eclectic client roster: Utah Jazz, Apple, League of Legends, and a Buddhist temple in Los Angeles. 40:00 — Gaussian splatting, photogrammetry, point clouds, and where world models are taking 3D next. 45:00 — The freelance vs. studio dilemma, brutal VFX industry crunch culture, and Stewart's plan to own his entire podcast stack. 50:00 — Poland's economic rise, the hollowing out of the Netherlands, and capitalism as an endless infection with no clear cure. Key Insights Houdini as creative rebirth.Visual thinking is under attack.AI as a technical collaborator, not a replacement.The freelance paradox.Roko's Basilisk explains Silicon Valley.Decentralization is ending Hollywood's monopoly.Owning your tools is a political act.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with David Lachmish, co-founder of Ika, to explore the cutting-edge world of decentralized cryptography and its real-world applications. They cover the foundational problem of zero-trust custody and interoperability in crypto, breaking down why most people end up relying on centralized custodians despite crypto's original promise of removing third-party trust, and how Ika's novel 2PC-MPC cryptographic protocol addresses this with decentralized wallets (d-wallets) that require both the user and the Ika network to generate a signature. The conversation also touches on AI agents and the critical need for access control guardrails when agents handle real financial transactions, the philosophical parallels between crypto's growing pains and the early internet, decentralized governance and its potential to reshape how societies make decisions, and a surprising look at how decentralized certificate authorities could dramatically improve everyday internet security. David also gives a first public mention of an upcoming privacy-focused project called Encrypt. Links mentioned: - Ika website: https://ika.xyz - Ika on X: https://x.com/iкаdotxyz - David Lachmish on X: https://x.com/d3h3d_ - Encrypt (upcoming project): https://encrypt.xyz Timestamps 00:00 - David Lachmish introduces Ika and DWallet Labs, explaining their cybersecurity and cryptography background led them to solve zero trust custody and interoperability. 05:00 - The d wallet concept is revealed as a decentralized signing mechanism controlled jointly by user and network, requiring new cryptography breakthroughs. 10:00 - Crypto's philosophical parallels to early Internet are drawn, framing scams and misuse as inevitable growing pains of transformative infrastructure. 15:00 - Wallet abstraction and agent constraints are explored, comparing future seamless crypto interaction to modern WiFi versus early modem connections. 20:00 - Public key cryptography's binary ownership problem is explained, leading into MPC secret shares and Fireblocks' centralized access control tradeoffs. 25:00 - 2PC MPC protocol is introduced as Ika's breakthrough, enabling decentralized policy enforcement without trusting any single entity. 30:00 - Decentralized governance via token staking and code as law is discussed, contrasting corporate representative governance with crypto's direct decision-making. 35:00 - Futarchy prediction markets and decision trees are connected to knowledge graphs, tracing humanity's accelerating governance transition. 40:00 - Automation's historical parallels are examined, arguing AI's displacement of lawyers and developers mirrors every prior technological revolution. 45:00 - Bitcoin and Ethereum's uncertain futures are assessed alongside Ika's positioning in custody and interoperability infrastructure. 50:00 - Zero trust interoperability is explained, revealing how bridges create dangerous honeypots that Ika eliminates through native cryptographic control. 55:00 - MetaMask's limitations for agents are detailed, contrasting stored private keys against Ika's policy-enforced guardrails for agentic transactions. 60:00 - HumanTech's Wallet as a Protocol is presented as a practical way to give agents spending policies while maintaining user cryptographic control. 65:00 - Decentralized certificate authorities emerge as Ika's broader cybersecurity vision, eliminating single points of failure across the entire Internet. Key Insights 1. Zero Trust Custody and Interoperability: David and his cofounders at DWallet Labs identified that most cryptocurrency is held by centralized custodians, which contradicts crypto's core purpose of removing third-party trust. They set out to create "zero trust custody and zero trust interoperability" — systems where users maintain cryptographic control without sacrificing usability or relying on any single entity. 2. The D-Wallet Primitive: Ika is built...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Vahram Ayvazyan, founder of the Armenian Network State, for a wide-ranging conversation touching on AI and the future of work, the cyclical nature of human conflict throughout history, the decay of the nation-state, the concept of a "fourth establishment" of free people operating outside traditional power structures, the role of greed and self-aggrandizement in politics and tech, and how network states could serve as a parallel structure to challenge entrenched global elites. You can find Vahram on LinkedIn, or check the Armenian Network State page at networkstate.io. Timestamps 00:00 The Future of AI and Humanity 05:57 Human Nature and Greed 12:00 The Crisis of Nation-States 17:53 Community Resilience and Abundance 23:30 The Power of Storytelling in Change 29:43 Cultural Connections: Armenia and Africa 35:43 Western Dominance and Its Consequences 42:17 Creativity in the Age of AI 48:07 Creating Parallel Structures Key Insights 1. Humans advance technologically but remain socially and biologically stagnant. Vahram argues that despite extraordinary technological leaps, human nature remains driven by greed and self-aggrandizement. Conflicts today mirror those of thousands of years ago, with only the actors changing while the underlying structure of power struggles stays the same. 2. Power corrupts by disconnecting leaders from reality. Using a personal account of a deputy head of state, the guest illustrates how those who gain significant power gradually lose touch with reality, fall into cycles of wanting more, and become trapped in ego-driven decision-making regardless of their original intentions. 3. The nation-state is in decay and failing its citizens. Globalization, internet, and migration have eroded the nation-state's ability to deliver basic services. Events like the Valencia flooding exposed how even wealthy European governments mismanage resources despite collecting enormous tax revenues. 4. Three institutions currently rule the world, with a fourth emerging. Nation-states, multinational corporations, and religious institutions form today's power structure. The guest envisions a "fourth establishment" — network states — composed of free-thinking individuals connecting across geographies to build parallel, dignity-based communities outside these failing systems. 5. Intentions matter more than the tools themselves. Whether discussing AI, nuclear energy, or mathematics, the guest emphasizes that technology is neutral and that what defines civilization is the moral intention behind its use, not the sophistication of the tools developed. 6. Western civilization's dominance was built on superior weapons, not superior values. The guest challenges Western narratives by suggesting its historical advantage came primarily from military technology rather than cultural or moral superiority, contrasting this with indigenous and Eastern philosophies that treat land, community, and human relationships as sacred rather than as capital. 7. Evolutionary, not revolutionary, change is the path forward. The guest warns that revolutionary movements are easily infiltrated, diverted, or crushed by existing power structures. Meaningful change requires patiently building critical mass through parallel structures, storytelling, and emotional connection until the alternative becomes undeniably powerful.

In this episode, Stewart Alsop III sits down with Tom Faye — experimenter, author of The 90 Day Client Acquisition Code, and founder of Carbon Credits Marketplace — to talk about solar energy, off-grid living, and the solarpunk vision of a technology-powered utopia. They cover everything from perovskite solar cells and portable container-based solar systems, to carbon credits, ESG investing, and blockchain verification of clean energy output. The conversation also winds through AI training data, business automation, and the data labeling industry before circling back to some bigger questions about human nature, geopolitics, and what genuine self-reliance looks like in 2025. You can find Tom and his work at Carbon Credits Marketplace on LinkedIn and his energy consumption data visualization is also shared there. His book The 90 Day Client Acquisition Code is available for those looking to explore business automation further. Timestamps 00:00 Introduction to Tom Fay and his work 01:03 Understanding Solar Punk: Utopian Tech and Culture 02:15 Current State of Solar Technology and Storage 03:45 Living Off-Grid: Solar, Batteries, and Remote Work 06:11 Solar Energy in Africa: Challenges and Opportunities 12:21 Powering Communities with Mobile Solar Solutions 16:50 The Vision of Solar Punk: Self-Sufficient Communities 22:54 Existing Examples: Great Barrier Island and Others 26:06 Overfishing, Environmental Challenges, and Technological Solutions 28:34 Using Technology to Address Second-Order Environmental Problems 36:35 Data, AI, and the Future of Energy Management 43:13 Carbon Credits, Blockchain, and ESG Reporting 45:27 The Geopolitics of Green Energy and Resource Control 46:53 How to Connect with Tom Fay and Future Projects Key Insights

In this episode of Crazy Wisdom, Stewart Alsop sits down with Andre Oliveira, founder of Splash N Color, a bootstrapped 3D printing e-commerce business selling consumer goods on Amazon. The two cover a lot of ground — from how Andre went from running 40 FDM printers out of South Florida to offshoring manufacturing to China, to how he's using Claude Code to automate inventory management and generate supplier RFQs across 200+ SKUs. The conversation stretches into bigger territory too: the San Francisco AI scene, the rise of AI agents and what they mean for the future of the internet, whether local on-device AI will eventually replace cloud-based tools, and why building physical products will stay hard long after software becomes easy. It's a candid, wide-ranging conversation between two self-taught builders figuring things out in real time. Follow Andre on X: @AndreBaach. Timestamps 00:00 — Andre introduces Splash N Color, his Amazon-based 3D printing e-commerce business and explains the grind of running 40 FDM machines in South Florida. 05:00 — The conversation shifts to Claude Code and how Andre built an inventory automation system to manage sales velocity and RFQs across 200+ SKUs. 10:00 — Stewart and Andre compare notes on Opus 4.6, debate Codex vs Claude, and Andre breaks down the new Agent Teams feature in Claude Code. 15:00 — Discussion turns to the San Francisco AI scene, the viral OpenClaw launch event that drew 700 people, and what's capturing the city's imagination right now. 20:00 — The pair wrestle with data privacy, the illusion of it since 2000, and whether full transparency of personal data might actually serve people better. 25:00 — Stewart pitches his vision of local on-device AI replacing cloud tools entirely, and they debate the 10–15 year timeline for mainstream societal adoption. 30:00 — Andre traces his origin story: a high school dropout from Brazil who spotted a 3D printing opportunity on Facebook Marketplace and got lucky timing with COVID. 35:00 — They explore whether AI-generated 3D models and DfAM will automate physical manufacturing, and why proprietary specs keep the space stubbornly hard. Key Insights Lifestyle businesses deserve more respect.Claude Code is becoming an operating system.Agent Teams changes how work gets done.Physical manufacturing will stay hard.The internet is heading toward agents.Iteration is the real value of 3D printing.Technology compounds in layers.

Stewart Alsop sits down with Ulises Martins on the Crazy Wisdom podcast to explore how artificial intelligence is fundamentally disrupting professional careers, labor markets, and the pace of human adaptation itself. They discuss everything from Dario Amodei's concept of "technological adolescence" to the possibility that we're approaching a point where AI advancement accelerates beyond our ability to keep up, touching on topics ranging from the economics of software development and the future of warfare to generational differences in how people will respond to AI-driven change. Martins emphasizes that while we may not be able to predict exactly what's coming, we need to dramatically increase our efforts to learn and adapt—potentially doubling the time we invest in understanding AI—because this isn't optional change, it's disruption happening at an unprecedented speed. Connect with Ulises on Linkedin to follow his work in AI and generative technology. Timestamps 00:00 — Stewart introduces Ulysses Martins, framing the conversation around accelerationism and the future of work. 05:00 — Ulises uses the parent-child analogy to argue humans will no longer play the dominant role as AI surpasses us. 10:00 — Both agree learning AI is non-negotiable, urging listeners to double their investment in staying current. 15:00 — Discussion shifts to software as media, the collapsing cost of building products, and the risk of big players like Anthropic making your idea obsolete overnight. 20:00 — Ulises raises ecology vs. cosmic ambition, questioning whether humanity should aim for civilizational-scale goals like the Dyson sphere. 25:00 — Stewart's ESP32 hardware project illustrates AI's current blind spots beyond software, while both predict physical-world AI will arrive as a byproduct of bigger industrial goals. 30:00 — Tesla's birthplace in Croatia sparks a reflection on human genius as luck versus deliberate investment, invoking the Apollo program as a model. 35:00 — The US-China AI race is compared to the Cold War Space Race, with interdependency acting as a brake on outright conflict. 40:00 — Drone warfare and AI reframe military power, making troop size irrelevant and potentially reducing total war. 45:00 — Agile methodology and generational shifts are linked, asking how Gen Z's values will shape the AI era globally. 50:00 — Argentine vs. American Zoomers are contrasted, with millennial expectations versus Gen Z's pragmatism explored. 55:00 — Ulises closes urging everyone to enjoy the ride, taking the infinite stream of change one episode at a time. Key Insights 1. The Death of Traditional Career Paths: The concept of professional careers as we know them—starting as a junior and progressively advancing—is becoming obsolete due to AI's rapid advancement. This applies far beyond just software and SaaS companies, extending to all industries as robots and AI systems gain capabilities that fundamentally disrupt labor markets. The question isn't whether we'll adapt, but whether humans can adapt fast enough to keep pace with exponential technological change. 2. The Acceleration Imperative: People must dramatically increase their investment in learning about AI immediately. Whatever time you were previously dedicating to staying current with technology needs to be doubled or tripled. This isn't optional—it's comparable to the necessity of basic education. Unlike previous technological transitions where you had years to learn new frameworks or tools, the current pace demands immediate, intensive engagement or you risk becoming irrelevant. 3. Software as Media and the Collapse of Development Economics: Software has become media—easily reproducible and increasingly commoditized through AI assistance. The fundamental economics of software development are collapsing because if building software requires dramatically fewer development hours, the value and price of that software must necessarily decrease. Entrepreneurs need a new...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Jake Hamilton, founder of Groundwire and Nockbox, to explore zero-knowledge proofs, Bitcoin identity systems, and the intersection of privacy-preserving cryptography with AI and blockchain technology. They discuss how ZK proofs could offer an alternative to invasive identity verification systems being rolled out by governments worldwide, the potential for continual learning AI models to shift the balance between centralized and open-source development, and why building secure, auditable computing infrastructure on platforms like Urbit matters more than ever as we face an explosion of AI agents and automated systems. Jake also explains Nockchain's approach to creating a global repository of cryptographically verified facts that can power trustless programmable systems, and how these technologies might converge to solve problems around supply chain security, personal data sovereignty, and resistance to censorship. Timestamps 00:00 Introduction to Groundwire and Knockbox 02:48 Understanding Zero-Knowledge Proofs 06:04 Government Adoption of ZK Proofs 08:55 The Future of Identity Verification 11:52 AI and ZK Proofs: A New Era 14:54 The Role of Urbit in Technology 18:03 The Impact of COVID on Trust 20:51 The Evolution of AI and Data Privacy 23:47 The Future of AI Models 26:54 The Need for Local AI Solutions 29:51 Interoperability of Knockchain and Bitcoin Key Insights 1. Zero-Knowledge Proofs Enable Privacy-Preserving Verification: Jake explains that ZK proofs allow you to prove computational outcomes without revealing the underlying data. For example, you could prove you're over 18 without exposing your full identity or driver's license information. The proof demonstrates that a specific program ran through certain steps and reached a particular conclusion, and validating this proof is fast and compact. This technology has profound implications for age verification, identity systems, and protecting privacy while maintaining necessary compliance, potentially offering a middle path between surveillance states and complete anonymity. 2. Government Adoption of Privacy Technology Remains Uncertain: There are three competing motivations driving government identity verification systems: genuine surveillance desires, bureaucratic efficiency seeking, and legitimate child protection concerns. Jake believes these groups can be separated, with some officials potentially supporting ZK-based solutions if positioned correctly. He notes the EU is exploring ZK identity verification, and UK officials have shown interest. The key is framing privacy-preserving technology as protection against "the swamp" rather than just abstract privacy benefits, which could resonate with certain political constituencies. 3. The COVID Era Destroyed Institutional Trust at Unprecedented Scale: The conversation identifies COVID as potentially the largest institutional trust-burning event in human history, with numerous institutions simultaneously losing credibility with large portions of the population. This represents a dramatic shift from the boomer generation's default trust in authority figures and mainstream media. This collapse is compounded by the incoming AI revolution, creating a perfect storm where established bureaucracies cannot adapt quickly enough to manage rapidly evolving technology, leaving society in fundamentally unmanageable territory. 4. Centralized AI Models Create Dangerous Dependencies: Both speakers acknowledge growing dependence on centralized AI services like Claude, with some users spending thousands monthly on tokens. This dependency creates vulnerability to price increases and service disruptions. Jake advocates for local AI deployment using models like DeepSeek R1, running on personal hardware to maintain control and privacy. The shift toward continuous learning models will fundamentally change the AI landscape, making personal data harvesting...

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Markus Buehler, the McAfee Professor of Engineering at MIT, to explore how seemingly different systems—from proteins and music to knowledge structures and AI reasoning—share underlying patterns through hierarchy, self-organization, and scale-free networks. The conversation ranges from the limits of current AI interpolation versus true discovery (using the fire-to-fusion example), to the emergence of agent swarms and their non-linear effects, to practical questions about ontologies, knowledge graphs, and whether humans will remain necessary in the creative discovery process. Markus discusses his lab's work automating scientific discovery through AI agents that can generate hypotheses, run simulations, and even retrain themselves, while Stewart shares his own experiences building applications with AI coding agents and grapples with questions about intellectual property, material science constraints, and the future of human creativity in an AI-abundant world. Timestamps 00:00 - Introduction to Marcus Buehler's work on knowledge graphs, structural grammar across proteins, music, and AI reasoning 05:00 - Discussion of AI discovery versus interpolation, using fire and fusion as examples of fundamental versus incremental innovation 10:00 - Language models as connective glue between agents, enabling communication despite imperfect outputs and canonical averaging 15:00 - Embodiment and agency in AI systems, creating adversarial agents that challenge theories and expand world models 20:00 - Emergent properties in materials and AI, comparing dislocations in metals to behaviors in agent swarms 25:00 - Human role-playing and phase separation in society, parallels to composite materials and heterogeneity 30:00 - Physical world challenges, atom-by-atom manufacturing at MIT.nano, limitations of lithography machines 35:00 - Synthetic biology as alternative to nanotechnology, programming microorganisms for materials discovery 40:00 - Intellectual property debates, commodification of AI models, control layers more valuable than model architecture 45:00 - Automation of ontologies, agent self-testing, daughter's coding success at age 11 50:00 - Graph theory for knowledge compression, neurosymbolic approaches combining symbolic and neural methods 55:00 - Nonlinear acceleration in AI, emergence from accumulated innovations, restaurant owner embracing AI 01:00:00 - Future generations possibly rejecting AI, democratization of knowledge, social media as real-time scientific discourse Key Insights 1. Universal Patterns Across Disciplines: Seemingly different systems in nature—proteins, music, social networks, and knowledge itself—share fundamental structural patterns including hierarchy, self-organization, and scale-free networks. This commonality allows creative thinkers to draw insights across disciplines, applying principles from one domain to solve problems in another. As an engineer and materials scientist, Buehler has leveraged these isomorphisms to advance scientific understanding by mapping the "plumbing" of different systems onto each other, revealing hidden relationships that enable extrapolation beyond what's observable in any single domain. 2. The Discovery Versus Interpolation Problem: Current AI systems, particularly large language models, excel at interpolation—recombining existing knowledge in new ways—but struggle with genuine discovery that requires fundamental rewiring of world models. Using the example of fire versus fusion, Buehler explains that an AI trained on combustion chemistry would propose bigger fires or new fuels, but couldn't conceive of fusion because that requires stepping back to more fundamental physics. True discovery demands the ability to recognize when existing theories have boundaries and to develop entirely new frameworks, something current AI architectures aren't designed to achieve due to their training objective of...

In this episode of the Crazy Wisdom podcast, host Stewart Alsop interviews John von Seggern, founder of Future Proof Music School, about the intersection of music education, technology, and artificial intelligence. They explore how musicians can develop timeless skills in an era of generative AI, the evolution of music production from classical notation to digital audio workstations like Ableton Live, and how AI is being used on the education side rather than for creation. The conversation covers music theory fundamentals, the development of instruments and recording technology throughout history, complex production techniques like sidechain compression, and the future of creative work in an AI-assisted world. John also discusses his development of Cadence, an AI voice tutor integrated with Ableton Live to help students learn music production. For those interested in learning more about Future Proof Music School or becoming a beta tester for the AI voice tutor, visit futureproofmusicschool.com. Timestamps 00:00 Future Proofing Musicians in a Changing Landscape 03:07 The Role of AI in Music Education 05:36 Generative AI: A Tool for Musicians? 08:36 The Evolution of Music Creation and Technology 11:30 The Impact of Recording Technology on Music 14:31 The Fragmentation of Culture and Music 17:19 Exploring Music History and Theory 20:13 The Relationship Between Music and Memory 23:07 The Future of Music Creation and AI 26:17 The Importance of Live Music Experiences 28:49 Navigating the New Music Landscape 31:47 The Role of AI in Finding New Music 34:48 The Creative Process in Music Production 37:33 The Future of Music Theory and Composition 40:10 The Search for Unique Artistic Voices 43:18 The Intersection of Music and Technology 46:10 Cultural Shifts in the Music Industry 49:09 Finding Quality in a Sea of Content Key Insights 1. Future-proofing musicians means teaching evergreen techniques while adapting to AI realities. John von Seggern founded Future Proof Music School to address both sides of music education in the AI era. Students learn timeless production skills that won't become obsolete as technology evolves, while simultaneously exploring meaningful creative goals in a world where generative AI exists. The school uses AI on the education side to help students learn, but students themselves aren't particularly interested in using generative AI for actual music creation, preferring to maintain their creative fingerprint on their work. 2. The 12-note Western music system emerged from mathematical relationships discovered by Pythagoras and enabled collaborative music-making. Pythagoras demonstrated that pitch relates to vibrating string lengths, establishing mathematical ratios for musical intervals. This system allowed Western classical music to flourish because it could be notated and taught consistently, enabling large groups to play together. However, the piano is never perfectly in tune due to necessary compromises in the tuning system. By the 1920s, composers had explored most harmonic possibilities within this framework, leading to new directions in musical innovation. 3. Recording technology fundamentally transformed music by making the studio itself the primary instrument. The invention of audio recording in the early-to-mid 20th century shifted music from purely instrumental composition to sound-based creation. This enabled entirely new genres like electronic dance music and hip-hop, which couldn't exist without technologies like synthesizers and samplers. Modern digital audio workstations like Ableton Live allow producers to have unlimited tracks and manipulate sounds in infinite ways, making any imaginable sound possible and moving innovation from hardware to software. 4. Generative AI will likely replace generic music production but not visionary artists. John distinguishes between functional music (background music for films, work, or bars) and music where audiences deeply connect with...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Lars van der Zande, founder and CEO/technical architect of Inkwell Finance, for what Lars describes as his first-ever podcast appearance. The conversation covers a wide range of blockchain infrastructure topics, including Lars's work with Sui and Solana blockchains, the innovative capabilities of Ika's programmatic wallets and blockchain of signatures, and how Inkwell Finance is building revenue-based financing solutions for on-chain entities—from AI agents to protocols. They explore the evolving landscape of crypto regulation, the merging of traditional finance with blockchain technology, the future of decentralized legal systems, and how the user experience barrier is being lowered through technologies that eliminate constant transaction signing. Lars also discusses Inkwell's embedded financing approach and their pre-seed fundraising round. Links mentioned: - Inkwell's website: inkwell.finance - Inkwell on Twitter: @__inkwell - Lars on Twitter: @LMVDZande Timestamps 00:00 Introduction to Inkwell Finance and Technical Architecture 02:06 Understanding Sui and Solana: Blockchain Dynamics 05:55 The Role of Ika in Inkwell Finance 11:51 Leviathan: Revenue Generation and Financing in Crypto 17:38 The Future of AI Agents and Programmatic Wallets 23:23 Smart Contracts: Legal Implications and Future Directions 25:06 The Future of Inqvil Finance 25:42 Decentralization and Its Evolution 27:32 The Merging of Traditional and Crypto Systems 29:33 Global Financial Dynamics and Market Reactions 31:48 The Collapse of Traditional Financial Systems 32:46 Jurisdictional Shifts in the Crypto World 33:59 Legal Systems and Blockchain Integration 35:57 On-Chain Credit and Financial Opportunities 39:29 The Role of AI in Finance 41:30 Learning from Peer-to-Peer Lending History 43:14 Disruption in Insurance and Risk Management 44:54 On-Chain vs Off-Chain Data 46:54 The Evolution of the Internet and Blockchain 49:12 Future Subscription Models in Blockchain Key Insights 1. Ika's Revolutionary Blockchain Signature Technology: Lars discovered Ika, a blockchain of signatures built on Sui that enables any blockchain transaction to be signed without revealing the underlying message. Using patented 2PC MPC technology, Ika splits key shares across validators and encrypts them in transit, performing complex cryptographic operations that allow smart contracts on Sui to generate signatures for transactions on any other blockchain. This eliminates the need to build separate smart contracts on each blockchain, fundamentally changing how cross-chain interactions work and opening possibilities for truly interoperable decentralized applications. 2. Programmatic Wallets vs Traditional Wallets: Traditional wallets like MetaMask require manual user approval for every transaction through a front-end interface, but Ika's D-wallet introduces programmatic wallets with policy-based controls embedded in smart contracts. These wallets can execute transactions based on predetermined conditions checked against on-chain data like Oracle prices, without requiring individual user signatures. For example, a Bitcoin D-wallet can hold native Bitcoin without wrapping or bridging to a custodian, and smart contract policies determine when and how that Bitcoin can be transferred, creating unprecedented security and automation possibilities for decentralized finance. 3. Inkwell's Revenue-Based Financing Model: Inkwell Finance is building Leviathan, a revenue-based financing platform for on-chain entities including protocols, AI agents, and individual traders with verifiable track records. Borrowers receive capital based on their on-chain performance metrics like sharp ratio and drawdown, with loan repayment automatically deducted from their revenue stream. The profit split structure allocates approximately 60% to borrowers, 30% to lenders, and 10% split between Inkwell and integrating...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, a knowledge architect, community builder, and host of the Knowledge Graph Insights podcast. They explore the relationship between knowledge graphs and ontologies, why these technologies matter in the age of AI, and how symbolic AI complements the current wave of large language models. The conversation traces the history of neuro-symbolic AI from its origins at Dartmouth in 1956 through the semantic web vision of Tim Berners-Lee, examining why knowledge architecture remains underappreciated despite being deployed at major enterprises like Netflix, Amazon, and LinkedIn. Swanson explains how RDF (Resource Description Framework) enables both machines and humans to work with structured knowledge in ways that relational databases can't, while Alsop shares his journey from knowledge management director to understanding the practical necessity of ontologies for business operations. They discuss the philosophical roots of the field, the separation between knowledge management practitioners and knowledge engineers, and why startups often overlook these approaches until scale demands them. You can find Larry's podcast at KGI.fm or search for Knowledge Graph Insights on Spotify and YouTube. Timestamps 00:00 Introduction to Knowledge Graphs and Ontologies 01:09 The Importance of Ontologies in AI 04:14 Philosophy's Role in Knowledge Management 10:20 Debating the Relevance of RDF 15:41 The Distinction Between Knowledge Management and Knowledge Engineering 21:07 The Human Element in AI and Knowledge Architecture 25:07 Startups vs. Enterprises: The Knowledge Gap 29:57 Deterministic vs. Probabilistic AI 32:18 The Marketing of AI: A Historical Perspective 33:57 The Role of Knowledge Architecture in AI 39:00 Understanding RDF and Its Importance 44:47 The Intersection of AI and Human Intelligence 50:50 Future Visions: AI, Ontologies, and Human Behavior Key Insights 1. Knowledge Graphs Combine Structure and Instances Through Ontological Design. A knowledge graph is built using an ontology that describes a specific domain you want to understand or work with. It includes both an ontological description of the terrain—defining what things exist and how they relate to one another—and instances of those things mapped to real-world data. This combination of abstract structure and concrete examples is what makes knowledge graphs powerful for discovery, question-answering, and enabling agentic AI systems. Not everyone agrees on the precise definition, but this understanding represents the practical approach most knowledge architects use when building these systems. 2. Ontology Engineering Has Deep Philosophical Roots That Inform Modern Practice. The field draws heavily from classical philosophy, particularly ontology (the nature of what you know), epistemology (how you know what you know), and logic. These thousands-year-old philosophical frameworks provide the rigorous foundation for modern knowledge representation. Living in Heidelberg surrounded by philosophers, Swanson has discovered how much of knowledge graph work connects upstream to these philosophical roots. This philosophical grounding becomes especially important during times when institutional structures are collapsing, as we need to create new epistemological frameworks for civilization—knowledge management and ontology become critical tools for restructuring how we understand and organize information. 3. The Semantic Web Vision Aimed to Transform the Internet Into a Distributed Database. Twenty-five years ago, Tim Berners-Lee, Jim Hendler, and Ora Lassila published a landmark article in Scientific American proposing the semantic web. While Berners-Lee had already connected documents across the web through HTML and HTTP, the semantic web aimed to connect all the data—essentially turning the internet into a giant database. This vision led to the development of RDF (Resource...

How Damian uses mindfulness to enhance his creative flow in business