Crazy Wisdom

Episode #547: Dead Forests and Living Networks: Why the Future of Knowledge Looks Like Fungi, Not Filing Cabinets

Stewart Alsop III | AI, Consciousness & Technology — Mon, 18 May 2026 14:00:00 GMT

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Joshua Bate, founder of Bonfires.ai and DeciWorld, for a wide-ranging conversation covering knowledge management, graph technology, ontologies, decentralized science, and the future of how humans organize and share information. They break down the differences between personal and enterprise knowledge management, explore why flat ontological graphs may be the key to making diverse knowledge bases interoperable, and get into why traditional RAG systems break down at scale and how graph RAG offers a more principled solution. The conversation expands into the philosophy of categorization, the slow death of basic "gentleman science" under institutional pressures, and how decentralized protocols might restore a kind of mycelial knowledge network connecting small groups of researchers, enthusiasts, and communities — much like the original spirit of the encyclopedia before it was co-opted by institutions. You can learn more about Joshua's work at bonfires.ai and deci.world or follow him on X at @Bonfiresai and @DeSciWorld.

Timestamps

00:00 - Stewart introduces Joshua Bate, founder of Bonfires.ai, discussing personal versus enterprise knowledge management and their fundamental differences at scale.
05:00 - Joshua explains ontologies as classifiers for knowledge structures, describing their two-year search for a perfect ontology and ultimately building a flat, ontology-less graph protocol.
10:00 - Stewart connects categorization to shamanic practice and intercategorical theory, noting how major companies like Netflix and Yahoo built graph-based ontologies while the discipline remains underappreciated philosophically.
15:00 - Joshua traces Bonfires origins through decentralized science, explaining how NFT community excitement inspired redirecting capital toward funding unconventional researchers locked out of institutional systems.
20:00 - Joshua describes building federated knowledge networks through hackathons and conferences, comparing the vision to what Wikipedia could have been with decentralized incentive structures.
25:00 - Discussion shifts toward inevitable collapse of rigid scientific institutions, debating patchwork age theory, nation-state fragmentation, and rhizomatic versus arboreal knowledge structures.
30:00 - Joshua articulates the mycelial network vision, enabling direct cross-cultural information access where individuals control their own narrative lens, warning against collective we thinking and authoritarianism.

Key Insights

1. Knowledge management exists on a spectrum from personal to enterprise, but the founder of Bonfires argues this split is artificial. He believes knowledge itself does not respect those boundaries, and that small groups, researchers, hobbyists, and large institutions all possess knowledge that can and should interoperate with each other.
2. After two and a half years of searching for the perfect ontology to structure their knowledge graph, the team concluded that no perfect ontology exists. Their solution was to build the flattest possible graph structure with only events, entities, and edges, creating a base layer others can build specialized ontologies on top of.
3. Graph-based knowledge systems are more efficient than traditional databases for AI traversal because once a graph is computed, it is relatively free to query. Graph RAG combines the discovery power of vector search with the structured precision of graph traversal, solving many hallucination problems associated with standard retrieval augmented generation.
4. Basic scientific research, the soil from which applied discoveries grow, is deteriorating because institutional funding structures only reward commercially viable outcomes. The founder built his platform partly to redirect community-driven capital toward researchers who are doing important work without institutional support.
5. The institutionalization of science has historically blocked the open exchange of ideas that drove the original scientific revolution. The human spirit for open inquiry has not changed, but people cannot pursue it without financial support, and building decentralized infrastructure could restore that possibility.
6. A federated knowledge network would allow individuals to access information from any contributor and filter it through their own preferred lens, rather than receiving information pre-filtered by centralized platforms. This represents a form of information symmetry similar to how mycelial networks distribute nutrients across a forest.
7. The concern is not whether current scientific and governmental institutions will change but in what direction the rebuilding goes. Those capitalizing on the transition carry the same incentives as the previous era, which risks reproducing the same problems inside new structures.

Episode #546: Beyond Postgres and Node.js: What Happens When Your Database Runs Your Code

Stewart Alsop III | AI, Consciousness & Technology — Mon, 11 May 2026 14:00:00 GMT

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Tyler Cloutier, founder of Clockwork Labs and creator of SpaceTimeDB. They explore how SpaceTimeDB functions as more than just a database—it's essentially a distributed operating system that merges server logic with data storage, enabling real-time applications and time-travel capabilities. The conversation ranges from the technical architecture of databases and operating systems to the philosophy of distributed systems, touching on everything from Unix and Linux to how SpaceTimeDB could revolutionize AI-generated software deployment. Tyler explains how their system reduces the complexity of building real-time applications, makes deployment simpler for both humans and AI agents, and why games like their MMORPG BitCraft Online drove them to create this new infrastructure. They also discuss the future of the internet, the role of bots in gaming, and how SpaceTimeDB fits into the broader landscape of cloud computing alongside tools like Cloudflare, Vercel, and Docker. For more information, visit spacetimedb.com or check out Clockwork Labs on GitHub and Twitter.

Timestamps

00:00 Stewart introduces Tyler Cloutier, founder of Clockwork Labs, discussing the origin of SpaceTimeDB's name inspired by Einstein's theory and its time travel capabilities that store all operations indefinitely
05:00 Tyler explains SpaceTimeDB as more of an operating system than a database, using tables instead of file systems while running code in a sandboxed environment with full atomic properties
10:00 Discussion of how SpaceTimeDB replaces both Node.js and Postgres by merging web server and database functionality, eliminating separate deployment concerns
15:00 Tyler explains JavaScript execution through Chrome's V8 engine and JIT compiling, leading to Node.js creation for server-side JavaScript development
20:00 Explanation of stateless web servers versus stateful game servers, and why games require in-memory state management for real-time performance
25:00 Tyler introduces reducers and real-time subscriptions, questioning why more applications aren't real-time when state changes should update immediately
30:00 Discussion of Facebook as essentially a text-based MMO, comparing social media architecture to game server requirements and the need for unified systems
35:00 Tyler explains ACID properties in databases: atomic, consistent, isolated, and durable, using game item trading examples
40:00 Comparing SpaceTimeDB to smart contract systems without cryptocurrency or global consensus, positioning it as a smart database with centralized trust
45:00 Tyler reveals SpaceTimeDB uses 43% fewer tokens than Postgres for AI-generated applications, making it valuable for vibe coding platforms
50:00 Conversation shifts to bots in games and proof-of-human concepts, with Tyler proposing biometric systems and discussing potential in-person gaming applications
55:00 Closing discussion about tracking AI-driven traffic through UTM parameters and finding SpaceTimeDB at spacetimedb.com

Key Insights

1. SpaceTimeDB is fundamentally a database that runs application code directly inside it, combining what traditionally required separate systems like Postgres and Node.js. Users compile their application logic into WebAssembly or JavaScript and upload it to run within the database itself. This architecture provides high performance because the entire server backend operates inside the database environment. The system also features time travel capabilities, storing every operation and change to data persistently and indefinitely, allowing users to set application state back to any earlier point in time. This makes SpaceTimeDB more accurately described as an operating system rather than just a database, where the abstraction is that everything is a table rather than a file.
2. The inspiration for SpaceTimeDB came from building BitCraft Online, an MMORPG where all players exist in a single persistent world and rebuild civilization together. Traditional MMO backends required complex custom solutions to handle real-time state, with game servers storing state in memory and periodically writing to databases. This complexity existed because games cannot afford the latency of constantly delegating to distant databases like traditional web applications can. SpaceTimeDB solved this by making the database fast enough to handle real-time requirements directly, eliminating the need for separate game servers. This same performance advantage that benefits games also applies to web applications, which is why SpaceTimeDB evolved from a game-specific tool to a general-purpose platform.
3. SpaceTimeDB functions as a distributed operating system where each database acts like a process in an actor model system, similar to Erlang or Scala Akka. Databases can send messages to other databases and be spawned across a cluster for horizontal scaling. This represents an overlay operating system running on top of Linux rather than competing with it, providing a distributed abstraction across many machines while Linux handles device drivers and hardware support. The vision is for the cloud to function as a single enormous computer running one operating system, where developers simply publish their programs without managing separate services, deployment, routing, networking, or persistence infrastructure.
4. The real-time capabilities of SpaceTimeDB address a fundamental limitation in how most web applications work today. Traditional web servers are stateless, delegating all state to databases and accepting network round-trip latency for each request, which is why users often must refresh pages to see updates. SpaceTimeDB allows queries to be subscribed to, maintaining open connections that stream changes whenever query results update. This makes applications like Discord, Facebook, or banking systems naturally real-time without requiring page refreshes. The historical accident that more things are not real-time represents a problem SpaceTimeDB solves by unifying the web world with the game world's real-time requirements.
5. SpaceTimeDB implements ACID properties—Atomic, Consistent, Isolated, and Durable—ensuring database operations are reliable and safe. Atomic means operations either fully happen or not at all, preventing issues like item duplication in games when trading between players. Consistent means declared invariants like unique usernames are always enforced. Isolated means concurrent operations do not interfere with each other. Durable means changes persist even if computers restart, with varying levels from in-memory on one machine to disk storage across multiple geographic locations. These properties are managed through reducers, functions inspired by React Redux that fold changes into application state incrementally.
6. For AI and large language models, SpaceTimeDB offers significant advantages in building and deploying applications. Testing showed that creating applications with SpaceTimeDB uses 43% fewer tokens compared to Postgres implementations, costs less, has fewer bugs, and is easier to extend. This matters because the primary cost for vibe coding platforms is tokens. As more software gets written in the next twelve months than ever before, there is insufficient focus on infrastructure required to run all this AI-generated software. SpaceTimeDB positions itself as ideal for LLMs to target because of its simplified deployment model where developers just publish code and the system handles everything behind the scenes.
7. SpaceTimeDB can be understood as a smart contract system without cryptocurrency or global decentralized consensus. Like blockchain smart contracts, it executes code with atomic, consistent, isolated, and durable properties, but avoids the expense and slowness of requiring all computers worldwide to agree on everything. Instead, it offers centralized trust where users trust Clockwork Labs not to modify deployed contracts, rather than the trustless but extremely costly blockchain approach. This makes it functionally similar to Cloudflare's durable objects but with full relational database capabilities. The system exists before the networking layer where Cloudflare operates, handling deployment, server, and database functions while Cloudflare could provide DDoS protection in front of it.

Episode #545: Measuring the Unmeasurable: Agency, IQ, and the Men Who Change History

Stewart Alsop III | AI, Consciousness & Technology — Mon, 04 May 2026 14:00:00 GMT

In this episode of Crazy Wisdom, Stewart Alsop sits down with Kieran Zimmer — a software developer and independent researcher in psychology and psychometrics — to explore the science behind intelligence and personality. They trace the origins of psychometrics from Wilhelm Wundt's early experimental psychology through Charles Spearman's discovery of the g factor, breaking down what IQ actually measures, how verbal, mathematical, and spatial intelligence relate to one another, and why training specific cognitive tasks doesn't translate into a broader boost in general intelligence. The conversation moves into the Big Five personality traits reframed through a cybernetic lens — looking at extraversion as reward sensitivity, agreeableness as social affiliation, and conscientiousness as long-term goal prioritization — before landing on Kieran's original research into the psychology of agency: what personality profile best predicts agentic behavior, and why the environment shapes whether agency is even adaptive in the first place.

Show notes:

Substack: Liminal Revolutions
Twitter/X: @LiminalRev
YouTube: @TheKieranZimmer (to listen to Kieran's conference talk on the agency paper)

Timestamps

00:00 — Stewart and Kieran trace the origins of psychometrics back to Spearman, Binet, and Wilhelm Wundt's early experimental psychology.

05:00 — The conversation unpacks the g factor, fluid vs. crystallized intelligence, and why IQ is fundamentally a physical trait tied to nerve conduction velocity.

10:00 — A tangent into AI and LLMs: why they lack vision, taste, judgment, and accountability — the human moat that remains for now.

15:00 — Stewart's Claude Code failure sparks a discussion on AI accountability, surveillance, and the rise of dystopian technocracy.

20:00 — Parallel structures as a form of exit from failing institutions, and the high-agency people required to build them.

25:00 — Agency, risk-taking, and accountability through Napoleon, the Inuit, and why modern Western leaders are managers, not leaders.

30:00 — Elites vs. peasants, cost externalization, and Kirk Doolittle's natural law as the physics of cooperation.

35:00 — Ressentiment, Nietzsche's under-utilization in psychology, and how secularism replaced the church.

40:00 — Kieran's quantitative conspiracy theory study: factor analysis of 85 questions across 273 respondents.

45:00 — Two branches of conspiracy belief: the aliens-and-Satanism cluster vs. the fakery factor pathway to Flat Earth.

50:00 — AI psychosis, Gnosticism, and the collapse of sense-making institutions in an age of information overload.

55:00 — Michael Levin's embodied cognition and cybernetic agency: thermostats, humans, and homeostatic set points.

1:00:00 — The Cybernetic Big Five broken down: extraversion as reward sensitivity, agreeableness, neuroticism, and the optimal personality profile for agency.

Key Insights

IQ is a physical trait, not just an abstract score. It's rooted in nerve conduction velocity, brain connectivity, and processing speed — and while you can improve crystallized intelligence through learning, the underlying g factor doesn't budge no matter how many brain training apps you use.
The human moat against AI comes down to four things: vision, taste, judgment, and accountability. LLMs are powerful next-token predictors, but they have no stake in the outcome and no capacity to own a mistake — which means a human with those qualities will always be essential.
High agency is not just ambition — it's a measurable psychological profile. Kieran's paper frames it through the Cybernetic Big Five: high assertiveness, high intellect, low politeness, low neuroticism, and medium conscientiousness. Getting things done at scale almost always involves upsetting people.
All agentic behavior involves risk, and the willingness to absorb that risk is what separates real leaders from managers. Modern Western leadership has decoupled decision-making from consequence, which is why institutions are losing trust and authority at an accelerating rate.
Conspiracy belief follows a measurable path dependency. Kieran's factor analysis showed that virtually everyone who believes in Flat Earth also endorses the fakery factor and the Jewish question cluster — but not vice versa. It's a spectrum with a clear escalation pattern, not a random set of unrelated beliefs.
AI is accelerating epistemic breakdown. Sycophantic models will validate almost any idea, which has started producing a new category of high-IQ delusion — intelligent people convincing themselves they've solved Millennium Prize problems because the AI kept agreeing with them.
The Big Five personality traits can be recast as cybernetic parameters — each one an evolutionarily selected mechanism for regulating goal-directed behavior. Extraversion is reward sensitivity, agreeableness is social affiliation, neuroticism is threat response, and conscientiousness is the preference for long-term over short-term goals.

Episode #544: Privacy Is the New Counterculture

Stewart Alsop III | AI, Consciousness & Technology — Mon, 27 Apr 2026 14:00:00 GMT

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Cindy Cohn, Executive Director of the Electronic Frontier Foundation (EFF), for a wide-ranging conversation covering the EFF's origins and mission, the countercultural roots of Silicon Valley, the rise of surveillance-based business models, the challenges facing open source software and open-weight AI models, the legal landscape around intellectual property and privacy law, and the growing tension between government overreach and civil liberties in the digital age. Cindy also discusses her upcoming departure from EFF after 26 years, the transition to new leadership, and her recently published book Privacy's Defender, which chronicles key legal battles she fought to protect digital privacy rights.

Links mentioned:
- EFF website: eff.org
- Privacy's Defender book: eff.org/privacysdefender

Timestamps

00:00 - Stewart introduces Cindy Cohn, EFF Executive Director, who explains the organization's mission protecting digital rights since 1990.
05:00 - Cindy connects counterculture roots to early internet idealism, describing how digital communication broke down physical barriers for organizing.
10:00 - Cindy reveals surveillance becoming the dominant business model surprised her, blaming corporate consolidation over naive techno-optimism.
15:00 - Discussion shifts to Silicon Valley's military contractor substrate and how corporate money co-opted hacker ethos.
20:00 - Open source community faces existential threat from age verification legislation while open-weight AI models emerge as critical alternative.
25:00 - Cindy outlines legal frameworks like compulsory licensing and easements that could democratize access to foundational AI models.
30:00 - Privacy principles around secondary data use identified as core surveillance problem, with Anthropic's domestic surveillance red line praised.
35:00 - Cloud Act, Five Eyes surveillance networks, and global jurisdictional complexity examined through individual threat modeling lens.
40:00 - Constitutional rights and democratic participation framed as irreplaceable bulwarks against authoritarian surveillance tendencies.
45:00 - Cindy announces departure from EFF after 26 years, naming successor Nicole Ozer while planning return to courtroom litigation.

Key Insights

1. The Electronic Frontier Foundation was founded in 1990, before the World Wide Web existed, by Mitch Kapoor, John Perry Barlow, and John Gilmore, with early support from Steve Wozniak. Its core mission is to ensure that civil rights and freedoms follow people into the digital world, using lawyers, technologists, and activists to keep the internet on the side of users.
2. The early countercultural movement of the 1960s and 70s heavily influenced the founders of the internet and EFF. Figures like Barlow believed the digital world could reduce physical barriers like race, class, and geography, allowing people to be judged by the quality of their ideas rather than the circumstances of their birth.
3. The dominant surveillance business model that emerged was not inevitable. Cohn argues it resulted from deliberate policy failures, particularly the abandonment of competition law, which allowed a handful of companies to consolidate control over the entire internet and adopt 360-degree data collection as their primary revenue strategy.
4. Open source communities remain active and vital but are under serious threat from legislation like age verification laws that make it practically impossible to maintain fully open tools. Cohn sees this community as essential to reclaiming public control over computation, especially in the age of AI.
5. The open weights question for AI models is fundamentally different from traditional open source software because of the enormous capital required to train foundation models. Cohn suggests legal mechanisms like compulsory licensing, similar to how cover songs work in copyright law, as one possible path toward broader public access.
6. A core privacy principle Cohn advocates is that data collected for one purpose must not be used for others. This single rule, if enforced, would begin dismantling the infrastructure that enables mass individual surveillance, including the AI-powered profiling she sees as the next dangerous frontier.
7. Cohn is stepping down from EFF after 26 years to allow new leadership and return to litigation, which is where she believes her impact is greatest. She also wrote a book called Privacy's Defender to preserve the history of digital rights fights from the 1990s onward and to help people understand how current threats emerged so they can work to reverse them.

Episode #543: The Year of Agents and the Industries Not Ready for Them

Stewart Alsop III | AI, Consciousness & Technology — Mon, 20 Apr 2026 14:00:00 GMT

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 mathematicians, has written publicly about how AI tools can help tackle unsolved problems, though the role of AI remains assistive rather than independent at the research level.
4. Large language models are not truly transparent even when described as open source. Releasing model weights alone does not reveal the training data, annotation protocols, alignment tuning, or system prompts that shape model behavior. Real openness would require access to the entire pipeline.
5. Memory and retrieval remain core unsolved challenges in AI systems. Researchers are moving from flat vector database approaches toward hierarchical memory structures with roughly three layers, which improves retrieval accuracy and reduces how much context gets consumed with each search.
6. The travel industry is structurally unprepared for AI agents. A hidden web of bed banks, aggregators, and aggregators of aggregators sits between hotels and consumers, each taking a fee. Tuki Travel is building infrastructure to unify this distribution layer and make it consumable by AI agents through protocols like MCP and emerging agent-to-agent communication standards.
7. Test-driven development using a red-green approach significantly improves AI-generated code quality. By asking the model to write failing tests before writing any implementation, developers create a verification oracle that guides the model toward correct solutions and avoids the bias of writing tests that simply confirm existing flawed code.

Episode #542: Let the Angels Go: Consciousness, Carbon, and the Coming Renaissance

Stewart Alsop III | AI, Consciousness & Technology — Mon, 13 Apr 2026 14:00:00 GMT

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 tried to compress a nonlinear, multidimensional spiritual reality into a single linear numerical scale, which inevitably loses essential meaning in the translation.
2. Nicholas argues that no person exists at a single point on the consciousness scale. Everyone floats across multiple levels simultaneously, expressing differently depending on context. This is a meaningful correction to how many readers apply Hawkins's work, since treating someone as a fixed number oversimplifies the layered and dynamic nature of human consciousness.
3. The compression problem is central to understanding both spiritual writing and artificial intelligence. When any rich, multidimensional experience gets encoded into language or data, something is always lost. This applies to Hawkins writing about enlightenment, to Nicholas writing his book, and to how large language models process and reproduce human knowledge.
4. Silicon intelligence and carbon intelligence are framed as two distinct branches of consciousness with complementary strengths. Silicon can process information at extremely high frame rates because its context is narrow and stable. Humans carry a much larger and messier context, which makes them slower but more creative and cross-connected. Nicholas uses his equation framing this as frame rate being inversely proportional to conscious bandwidth.
5. Civilizational evolution follows a pattern where new levels of consciousness emerge in unstable pockets before eventually becoming dominant. The ancient Greeks briefly stabilized the rational fourth level before collapsing. The hippies briefly touched the fifth level before being suppressed. The Renaissance followed the Black Death. The guests suggest we are now entering another such transition, driven partly by the collapse of institutional trust accelerated by COVID.
6. The Faulkner Uncertainty Principle states that evidence will always point toward the next level of consciousness but will never definitively prove it. This is described as a necessary feature of reality rather than a flaw, because if higher truths were fully legible and accessible to all levels equally, it would give destructive forces too much power too quickly.
7. Neurodivergence is presented as potentially connected to spiritual sensitivity and cross-level awareness. Nicholas describes himself as a high IQ energy-sensing person who experienced a profound spiritual event in 2019, and connects his autistic traits to an ability to sense vibrational levels in others and move fluidly between different frameworks of understanding, which he loosely equates with the polymath archetype.

Episode #541: Where Am I? The Hidden Infrastructure Powering the Robot Revolution

Stewart Alsop III | AI, Consciousness & Technology — Mon, 06 Apr 2026 14:00:00 GMT

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 lane lines—because the economics and technical bar are far more achievable than building versatile machines.
5. Urban, suburban, and rural environments demand different robotic solutions. Open skies in rural areas make GPS-based drones effective, while dense cities require complex sensor stacks. European approaches favor autonomous public transit, while American models lean toward individual robotaxi services.
6. Robots will largely be rented as services, not owned. The high cost of hardware, rare earth minerals, and the extensive data required for safe operation makes personal robot ownership impractical for most consumers. Business models will resemble subscription or usage-based services.
7. Fundamental mathematics still outperforms machine learning for positioning. Despite AI advances, state estimation systems rely on proven mathematical formulas rather than transformer-based models, which currently underperform classical methods in 3D reconstruction and precise localization tasks.

Episode #541: Where Am I? The Hidden Infrastructure Powering the Robot Revolution

Stewart Alsop III | AI, Consciousness & Technology — Mon, 06 Apr 2026 14:00:00 GMT

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 lane lines—because the economics and technical bar are far more achievable than building versatile machines.
5. Urban, suburban, and rural environments demand different robotic solutions. Open skies in rural areas make GPS-based drones effective, while dense cities require complex sensor stacks. European approaches favor autonomous public transit, while American models lean toward individual robotaxi services.
6. Robots will largely be rented as services, not owned. The high cost of hardware, rare earth minerals, and the extensive data required for safe operation makes personal robot ownership impractical for most consumers. Business models will resemble subscription or usage-based services.
7. Fundamental mathematics still outperforms machine learning for positioning. Despite AI advances, state estimation systems rely on proven mathematical formulas rather than transformer-based models, which currently underperform classical methods in 3D reconstruction and precise localization tasks.

Episode #540: Own the Software or Go Amish

Stewart Alsop III | AI, Consciousness & Technology — Mon, 30 Mar 2026 14:00:00 GMT

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. After nearly burning out on conventional 3D software, Karol discovered that Houdini's node-based, code-driven architecture gave him something the other tools never could — a blank canvas with no ceiling. Rather than navigating a boat someone else built, he now builds the boat from scratch every time, which keeps the work perpetually challenging and alive.
Visual thinking is under attack. Karol noticed his once-vivid internal imagination quietly degrading over the years, and traces it directly to the overwhelming volume of digital stimuli in modern life. His response has been aggressive minimalism — stripping back inputs, physical and digital, to try to recover the creative mental space he once had naturally.
AI as a technical collaborator, not a replacement. Karol uses Claude daily, not to generate imagery, but to work through coding problems inside Houdini. He's clear that image generation is his job — what AI earns its place doing is explaining unfamiliar code and helping him push past technical blockers faster.
The freelance paradox. Twenty-five years of independence has meant total creative freedom alongside real financial instability — months of silence followed by weeks of 16-hour days. Karol has never resolved this tension, but holds onto the freedom anyway, and sees it as increasingly important as surveillance and corporate control tighten.
Roko's Basilisk explains Silicon Valley. Both Stewart and Karol land on the idea that the feverish, fear-driven energy behind tech accelerationism may trace back to this single thought experiment — the notion that if you don't help build the AI, it will punish you retroactively. Latin America, blissfully unaware of it, seems measurably calmer.
Decentralization is ending Hollywood's monopoly. The same forces making software cheaper and AI more powerful are quietly dismantling the $100M barrier to cultural creation. Karol's career — spanning album covers, Apple, the Utah Jazz, and a Buddhist temple — is a living proof of concept for what independent 3D generalism can look like outside the studio machine.
Owning your tools is a political act. Whether it's Karol resisting the pigeonhole of VFX studios or Stewart rebuilding his podcast infrastructure from scratch, both see the ability to own and control your own software and hardware as essential preparation for whatever comes next.

Episode #539: Zero Trust Everything: Rebuilding the Internet's Money Layer

Stewart Alsop III | AI, Consciousness & Technology — Mon, 23 Mar 2026 14:00:00 GMT

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 around a new cryptographic concept called a "d-wallet" — a decentralized wallet controlled jointly by the user and a decentralized network. A signature cannot be generated without the user's participation, meaning even if all network operators are compromised, they cannot act unilaterally. This required inventing new cryptography called 2PC-MPC.
3. Access Control as the Missing Layer: Traditional crypto wallets operate on binary ownership — you either have full control or none. The d-wallet model introduces programmable access control policies enforced by a decentralized network, enabling features like spending limits and whitelisted addresses without trusting a centralized company like Fireblocks.
4. Bridges Are Crypto's Biggest Security Vulnerability: Interoperability across blockchains typically requires trusting a bridge, which creates a honeypot for hackers. Ika eliminates this by allowing users to natively control assets on multiple chains simultaneously, maintaining cryptographic guarantees without a trusted intermediary.
5. AI Agents Need Cryptographic Guardrails: Giving AI agents control over crypto wallets like MetaMask is dangerous due to hallucination and prompt injection risks. Ika enables agents to operate within strict, code-enforced policies — they can transact autonomously but cannot exceed boundaries set by the user, combining automation with genuine security.
6. Decentralized Governance as a Structural Advantage: Ika operates as a permissionless network where two-thirds of token-staking operators control the protocol's direction. Even the founding team cannot unilaterally change the network, making governance transparent and resistant to capture — a meaningful contrast to closed, corporate-controlled systems.
7. Decentralized Certificate Authorities as a Future Application: Beyond crypto, David envisions d-wallets solving broader cybersecurity problems. Today's internet relies on a handful of certificate authorities whose compromise would break global web security. A decentralized certificate authority built on Ika's infrastructure would require attacking hundreds of operators simultaneously, representing a fundamental upgrade to how trust is managed across the internet.

Episode #538: Outside the Three Institutions: Network States, Sovereign Tech

Stewart Alsop III | AI, Consciousness & Technology — Mon, 16 Mar 2026 14:00:00 GMT

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.

Episode #537: Free From the Grid, Connected to the World

Stewart Alsop III | AI, Consciousness & Technology — Fri, 13 Mar 2026 14:00:00 GMT

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

Solarpunk represents a genuine near-future possibility, not just an aesthetic. As solar panels and lithium batteries become cheaper and more efficient, the vision of abundant, decentralized clean energy is becoming a practical reality rather than a utopian fantasy.
Perovskite solar cells are pushing efficiency roughly 22% beyond conventional panels, and the bigger revolution happening right now is on the storage side — cheaper, higher-capacity batteries are what will truly unlock solar's potential at scale.
Africa may leapfrog the West on solar adoption, just as it leapfrogged landlines with mobile phones. People in energy-scarce countries viscerally understand the value of clean power in a way that people in the West, accustomed to reliable grids, simply don't.
Portable solar container units — self-contained, deployable systems — already exist and are making off-grid energy viable for farms, mines, remote lodges, and even data centers, with a roughly five-to-one solar-to-load footprint required.
Carbon credits generated from verified solar output, tracked via IoT smart meters and stamped on blockchain, represent a long-term business opportunity that survives political shifts because institutional investors and banks operate on independent ESG mandates.
AI training data is a present and real economic opportunity, but a shrinking one. The window for humans — especially lawyers, scientists, and specialists — to get paid for their expertise is closing fast as labs pivot toward synthetic data generation.
True self-reliance comes down to four things: food, water, power, and transportation. With solar and Starlink, the gap between remote wilderness and connected civilization has essentially collapsed — something unimaginable even a generation ago.

Episode #536: From Filament to Agents: The Tools Keep Getting Cheaper and the Judgment Keeps Getting Scarcer

Stewart Alsop III | AI, Consciousness & Technology — Mon, 09 Mar 2026 14:00:00 GMT

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. Andre spent months feeling inadequate scrolling through Twitter watching founders announce funding rounds, before realizing his cash-flowing, location-independent business was already the goal. The social media version of entrepreneurial success warped his perception of what he actually had built.
Claude Code is becoming an operating system. Stewart describes running Claude Code as having a second OS on top of MacOS — one that makes the underlying machine legible in ways it never was before. Both guests use it not just for coding but as a primary interface for understanding and operating their businesses.
Agent Teams changes how work gets done. Andre explains that Claude's new multi-agent feature lets you assign a team lead and specialized roles that communicate with each other in parallel, essentially running an autonomous task force inside your terminal — a meaningful leap beyond single-instance prompting.
Physical manufacturing will stay hard. Even as AI-generated 3D models improve, tolerances of 0.5 millimeters can mean the difference between a product working or not. Design for manufacturing is a separate discipline from design itself, and proprietary specs mean open source models rarely hit commercial quality.
The internet is heading toward agents. Both guests agree that AI agents will increasingly handle tasks humans currently do manually online — booking services, making payments, coordinating logistics — with the human internet potentially becoming secondary to a machine-to-machine layer.
Iteration is the real value of 3D printing. Andre pushes back on 3D printing as a business unto itself, framing it instead as a prototyping tool. The true value is rapid iteration on housing, tolerances, and fit — not the printer, but the speed of the feedback loop it enables.
Technology compounds in layers. Andre closes with a tech-tree analogy: each generation normalizes the tools of the previous one and builds the next layer on top. Agentic coding today is what the internet was in the 90s — the foundation for something we can't yet fully see.

Episode #535: The Technological Adolescence: Can Humans Keep Up With AI's Puberty?

Stewart Alsop III | AI, Consciousness & Technology — Mon, 02 Mar 2026 14:00:00 GMT

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 evaluation framework that assesses the risk of their ideas being replicated by AI or absorbed by major players like Anthropic or OpenAI.
4. The Parent-Child Analogy for AI Development: Humanity's relationship with AI will inevitably mirror that of parents with increasingly capable children. Initially, we understand and control what AI does, but as it advances, it will surpass human capabilities in most domains. Just as parents cannot control fully grown adult children who exceed their abilities, humans will need to reconcile with creating something superior to ourselves. Attempting to permanently control such systems may be both impossible and potentially pathologic.
5. The Kardashev Scale and Civilizational Ambitions: AI represents a civilizational-level technology that should redirect humanity toward grander goals like capturing stellar energy through Dyson spheres and expanding beyond our solar system. The competition between China and the United States over AI mirrors the Apollo program's space race but with higher stakes—potentially making traditional concepts like money less relevant if we successfully crack general intelligence. This requires thinking beyond planetary constraints.
6. The Changing Nature of Warfare and Geopolitics: AI and autonomous weapons systems are fundamentally changing warfare by making human soldiers less relevant, similar to how nuclear weapons reduced the importance of conventional military force. This shift may actually reduce bloody civilian casualties in conflicts between major powers, as drone warfare and AI-driven systems create new equilibriums. The geopolitical map may fracture into more sovereign states and city-states as centralized control becomes less effective.
7. Generational Adaptation and Unpredictability: Different generations will respond uniquely to AI disruption based on their values and experiences. Generation Z, having grown up during the pandemic without traditional expectations, may adapt differently than millennials who experienced unmet expectations. However, we must remain humble about our predictive abilities—we're not good at forecasting technological change or its timing. The best approach is maintaining openness, trying to understand developments as they unfold, and accepting that we cannot consume all information in an era of unlimited AI-generated content.

Episode #534: From COVID's Trust Bonfire to Decentralized Everything

Stewart Alsop III | AI, Consciousness & Technology — Mon, 23 Feb 2026 14:00:00 GMT

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 even more valuable and raising urgent questions about compensation and consent for training data contribution.
5. High-Quality Training Data Is Becoming the Primary AI Bottleneck: Stewart argues that AI development is now limited more by high-quality training data than by compute power. The industry has exhausted easily accessible internet data and body-shop-style data labeling. Companies are now using specialized boutique services with techniques like head-mounted cameras for live-streaming world model training. This scarcity is subtly driving price increases across AI services and will fundamentally reshape the economics of AI development, with implications for who controls these increasingly powerful systems.
6. Urbit Offers a Foundation for Trustworthy Computing: Jake positions Urbit as essential infrastructure for the AI age because its 30,000-line codebase (versus Unix's three million lines) can be understood by individual humans. Its deterministic, purely functional, and strictly typed design aims for eventual ossification—software that doesn't require constant security patches. This "tiny and diamond perfect" approach addresses the fundamental insecurity of systems requiring monthly vulnerability patches. In an era of AI agents and potential prompt injection attacks, having verifiable, comprehensible computing infrastructure becomes existentially important rather than merely desirable.
7. Nockchain Creates a Global Repository of Provable Truth: Jake's vision for Nockchain combines ZK proofs with blockchain technology to create a globally available "truth repository" where verified facts can be programmatically accessed together. This enables smart contracts or programs gated on combinations of proven facts—such as temperature readings from secure devices, supply chain events, and payment confirmations. By using Nock's abstract, simple design optimized for ZK proof generation, the system can validate complex real-world conditions without exposing underlying data, creating infrastructure for coordinating action based on verifiable private information at global scale.

Episode #1: Damian Taggart of Meow Wolf — Creative Flow through Yoga

Stewart Alsop III | AI, Consciousness & Technology — Wed, 07 Feb 2018 00:15:47 GMT

How Damian uses mindfulness to enhance his creative flow in business