Crazy Wisdom

I, Stewart Alsop, welcomed Alex Levin, CEO and co-founder of Regal, to this episode of the Crazy Wisdom Podcast to discuss the fascinating world of AI phone agents. Alex shared some incredible insights into how AI is already transforming customer interactions and what the future holds for company agents, machine-to-machine communication, and even the nature of knowledge itself.Check out this GPT we trained on the conversation!Timestamps00:29 Alex Levin shares that people are often more honest with AI agents than human agents, especially regarding payments.02:41 The surprising persistence of voice as a preferred channel for customer interaction, and how AI is set to revolutionize it.05:15 Discussion of the three types of AI agents: personal, work, and company agents, and how conversational AI will become the main interface with brands.07:12 Exploring the shift to machine-to-machine interactions and how AI changes what knowledge humans need versus what machines need.10:56 The looming challenge of centralization versus decentralization in AI, and how Americans often prioritize experience over privacy.14:11 Alex explains how tokenized data can offer personalized experiences without compromising specific individual privacy.25:44 Voice is predicted to become the primary way we interact with brands and technology due to its naturalness and efficiency.33:21 Why AI agents are easier to implement in contact centers due to different entropy compared to typical software.38:13 How Regal ensures AI agents stay on script and avoid "hallucinations" by proper training and guardrails.46:11 The technical challenges in replicating human conversational latency and nuances in AI voice interactions.Key InsightsAI Elicits HonestyPeople tend to be more forthright with AI agents, particularly in financially sensitive situations like discussing overdue payments. Alex speculates this is because individuals may feel less judged by an AI, leading to more truthful disclosures compared to interactions with human agents.Voice is King, AI is its HeirDespite predictions of its decline, voice remains a dominant channel for customer interactions. Alex believes that within three to five years, AI will handle as much as 90% of these voice interactions, transforming customer service with its efficiency and availability.The Rise of Company AgentsThe primary interface with most brands is expected to shift from websites and apps to conversational AI agents. This is because voice is a more natural, faster, and emotive way for humans to interact, a behavior already seen in younger generations.Machine-to-Machine FutureWe're moving towards a world where AI agents representing companies will interact directly with AI agents representing consumers. This "machine-to-machine" (M2M) paradigm will redefine commerce and the nature of how businesses and customers engage.Ontology of KnowledgeAs AI systems process vast amounts of information, creating a clear "ontology of knowledge" becomes crucial. This means structuring and categorizing information so AI can understand the context and user's underlying intent, rather than just processing raw data.Tokenized Data for PrivacyA potential solution to privacy concerns is "tokenized data." Instead of providing AI with specific personal details, users could share generalized tokens (e.g., "high-intent buyer in 30s") that allow for personalized experiences without revealing sensitive, identifiable information.AI Highlights Human InconsistenciesImplementing AI often brings to light existing inconsistencies or unacknowledged issues within a company. For instance, AI might reveal discrepancies between official scripts and how top-performing human agents actually communicate, forcing companies to address these differences.Influence as a Key Human SkillIn a future increasingly shaped by AI, Sam Altman (via Alex) suggests that the ability to "influence" others will be a paramount human skill. This uniquely human trait will be vital, whether for interacting with other people or for guiding and shaping AI systems.Contact Information*   Regal AI: regal.ai*   Email: hello@regal.ai*   LinkedIn: www.linkedin.com/in/alexlevin1/

In this episode of the Crazy Wisdom Podcast, Stewart Alsop III talks with Bobby Healy, CEO and co-founder of Manna Drone Delivery, about the evolving frontier where the digital meets the physical—specifically, the promise and challenges of autonomous drone logistics. They explore how regulatory landscapes are shaping the pace of drone delivery adoption globally, why Europe is ahead of the U.S., and what it takes to build scalable infrastructure for airborne logistics. The conversation also touches on the future of aerial mobility, the implications of automation for local commerce, and the philosophical impacts of deflationary technologies. For more about Bobby and Manna, visit mana.aero or follow Bobby on Twitter at @RealBobbyHealy.Check out this GPT we trained on the conversation!Timestamps00:00 – Stewart Alsop introduces Bobby Healy and opens with the promise vs. reality of drone tech; Healy critiques early overpromising and sets the stage for today's tech maturity.05:00 – Deep dive into FAA vs. EASA regulation, highlighting the regulatory bottleneck in the U.S. and the agility of the EU's centralized model.10:00 – Comparison of airspace complexity between the U.S. and Europe; Healy explains why drone scaling is easier in the EU’s less crowded sky.15:00 – Discussion of urban vs. suburban deployment, the ground risk challenge, and why automated (not fully autonomous) operations are still standard.20:00 – Exploration of pilot oversight, the role of remote monitoring, and how the system is already profitable per flight.25:00 – LLMs and vibe coding accelerate software iteration; Healy praises AI-powered development, calling it transformative for engineers and founders.30:00 – Emphasis on local delivery revolution; small businesses are beating Amazon with ultra-fast drone drop-offs.35:00 – Touches on Latin America’s opportunity, Argentina’s regulatory climate, and localized drone startups.40:00 – Clarifies noise and privacy concerns; drone presence is minimal and often unnoticed, especially in suburbs.45:00 – Final thoughts on airspace utilization, ground robots, and the deflationary effect of drone logistics on global commerce.Key InsightsDrone Delivery’s Real Bottleneck is Regulation, Not Technology: While drone delivery technology has matured significantly—with off-the-shelf components now industrial-grade and reliable—the real constraint is regulatory. Bobby Healy emphasizes that in the U.S., drone delivery is several years behind Europe, not due to a lack of technological readiness, but because of a slower-moving and more complex regulatory environment governed by the FAA. In contrast, Europe benefits from a nimble, centralized aviation regulator (EASA), which has enabled faster deployment by treating regulation as the foundational "product" that allows the industry to launch.The U.S. Airspace is Inherently More Complex: Healy draws attention to the density and fragmentation of U.S. airspace as a major challenge. From private planes to hobbyist aircraft and military operations, the sheer volume and variety of stakeholders complicate the regulatory path. Even though the FAA has created a solid framework (e.g., Part 108), implementing and scaling it across such a vast and fragmented system is slow. This puts the U.S. at a disadvantage, even though it holds the largest market potential for drone delivery.Drone Logistics is Already Economically Viable at a Small Scale: Unlike many emerging technologies, drone delivery is already profitable on a per-flight basis. Healy notes that Manna’s drones, operating primarily in suburban areas, achieve unit economics that allow them to scale without needing to replace human pilots yet. These remote pilots still play a role for oversight and legal compliance, but full autonomy is technically ready and likely to be adopted within a few years. This puts Manna ahead of competitors, including some well-funded giants.Suburban and Rural Areas Will Benefit Most from Drone Delivery First: The initial commercial impact of drone delivery is strongest in high-density suburban regions where traditional logistics are inefficient. These environments allow for easy takeoff and landing without the spatial constraints of dense urban cores. Healy explains that rooftops, parking lots, and small-scale launch zones can already support dozens of flights per hour. Over time, this infrastructure could rebalance urban and rural economies by enabling local producers and retailers to compete effectively with large logistics giants.Drone Logistics Will Redefine Local Commerce: One of the most compelling outcomes discussed is how drone delivery changes the playing field for small, local businesses. Healy shares an example of a local Irish bookstore now beating Amazon on delivery speed thanks to Manna’s platform. With a six-minute turnaround from purchase to backyard delivery, drone logistics could dramatically lower barriers to entry for small businesses, giving them access to modern fulfillment without needing massive infrastructure.Massive Deflation in Logistics Could Lead to Broader Economic Shifts: Healy argues that drone delivery, like AI, will drive a deflationary wave across sectors. By reducing the marginal cost of transportation to near zero, this technology could increase consumption and economic activity while also creating new jobs and opportunities in non-urban areas. This shift resembles the broad societal transformation brought on by the spread of electricity in the early 20th century—ubiquitous, enabling, and invisible.Drones Could Transform Defense Strategy Through “Mutually Assured Defense”: In a thought-provoking segment, Healy discusses how cheap, scalable drone technology might shift the geopolitical landscape. Instead of focusing solely on destruction, drones could enable countries to build robust “defense clouds” over their borders—creating a deterrent similar to nuclear weapons but more accessible and less catastrophic. He proposes that wide-scale deployment of autonomous defensive drones could prevent conflicts by making invasion logistically impossible.

Neil Davies, creator of the Extelligencer project, dives into survival strategies amid modern civilization's chaos. He discusses the 'Dark Forest' metaphor, illustrating the dangers of the internet age. Innovations like zero-knowledge proofs are highlighted as defenses against scams. The conversation touches on the evolution of tribal identities and the need for decentralized solutions to strengthen trust. Davies also examines the fragile balance of governance and societal structures in the face of cryptographic advancements.

On this episode, Stewart Alsop talks with Suman Kanuganti, founder of Personal.ai and a pioneer in AI for accessibility and human-machine collaboration. Together, they explore how Suman’s journey from launching Aira to building Personal.ai reflects a deeper mission of creating technology that enhances memory, communication, and personal empowerment. They touch on entrepreneurship, inclusive design, and the future of AI as a personal extension of human potential. For more information, visit the Personal.ai website or connect with Suman on LinkedIn.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to Suman Kanuganti and the vision behind Personal.ai, setting the stage with AI for accessibility and personal empowerment.05:00 Discussing the startup journey, the leap from corporate life to entrepreneurship, and the founding of Aira with a focus on inclusive technology.10:00 Deep dive into communication empowerment, how Aira built independence for the blind community, and lessons learned from solving real-world problems.15:00 Transitioning from Aira to Personal.ai, exploring memory extension and the future of personal communication through AI models.20:00 Addressing privacy, ownership of personal data, and why trust is fundamental in the development of personalized AI systems.25:00 Vision of human-machine collaboration, future scenarios where AI supports memory, creativity, and human potential without replacing human agency.30:00 Closing reflections on entrepreneurship, building technology with deep purpose, and how inclusive design drives innovation for everyone.Key InsightsPersonalized AI is the Next Evolution in Human Communication: Suman Kanuganti emphasizes that AI is moving beyond generic tools and into deeply personal territory, where each individual can have an AI modeled after their own thoughts, memories, and style of communication. This evolution is aimed at making technology an extension of the self rather than a replacement.Accessibility Technologies Have Broader Applications: Through his work with Aira, Suman discovered that building tools for accessibility often results in innovations that serve a much wider audience. By designing with people with disabilities in mind, entrepreneurs can create more universally empowering technologies that enhance independence for everyone.Entrepreneurship Requires a Deep Sense of Purpose: Suman’s transition from corporate engineering to entrepreneurship was fueled by a personal desire to create meaningful change. He highlights that a strong mission—like empowering individuals through technology—helps sustain entrepreneurs through the inevitable challenges and uncertainties of building startups.Memory Is a Key Frontier for AI Development: One of the core ideas discussed is that memory preservation and recall is an essential human function that AI can augment. Personal.ai aims to assist individuals by organizing and retrieving personal memories and knowledge, offering a future where mental workload is reduced without losing personal agency.Building Trust Is Critical in Personal AI: Suman stresses that for AI to become truly personal and trusted, users must retain ownership and control over their data. Personal.ai is designed with privacy and individual autonomy at its core, reflecting a future where users dictate how their information is stored, accessed, and shared.The Best Innovations Come from Solving Specific, Real Problems: Rather than chasing trends, Suman advocates for entrepreneurs to focus on tangible problems they understand deeply. His success with Aira stemmed from addressing a clear need in the blind community, and that same principle now drives the mission behind Personal.ai—addressing the growing problem of information overload and memory fragmentation.Human-AI Symbiosis Will Define the Future: Suman paints a future where humans and AI work symbiotically, each complementing the other’s strengths. Instead of replacing human intelligence, the best AI systems will support cognitive functions like memory, creativity, and communication, ultimately expanding what individuals can achieve personally and professionally.

In this episode of the Crazy Wisdom Podcast, I, Stewart Alsop III, speak with David Packham, CEO and co-founder of Chintai, about the real-world implications of tokenizing assets—from real estate and startup equity to institutional finance and beyond. David shares insights from his time inside Goldman Sachs during the 2008 crash, his journey into blockchain starting in 2016, and how Chintai is now helping reshape the financial system through compliant, blockchain-based infrastructure. We talk about the collapse of institutional trust, the weirdness of meme coins, the possible obsolescence of IPOs, and the deeper societal shifts underway. For more on David and Chintai, check out chintai.io and chintainexus.com.Check out this GPT we trained on the conversation!Timestamps00:00 – David Packham introduces Chintai and explains the vision of tokenizing real world assets, highlighting the failure of early promises and the need for real transformation in finance. 05:00 – The conversation turns to accredited investors, regulatory controls, and how Chintai ensures compliance while preserving self-custody and smart contract-level restrictions. 10:00 – Discussion of innovative asset models like yield-bearing tokens tied to Manhattan real estate and tokenized private funds, showing how commercial use cases are overtaking DeFi gimmicks. 15:00 – Packham unpacks how liquidity is reshaping startup equity, potentially making IPOs obsolete by offering secondary markets and early investor exits through tokenization. 20:00 – The focus shifts to global crypto hubs. Singapore’s limitations, US entrepreneurial resurgence, and Hong Kong’s return to crypto leadership come up. 25:00 – Stewart and David discuss the broader decentralization of institutions, including government finance on blockchain, and the surprising effect of CBDCs in China. 30:00 – They explore the cultural dimensions of decentralization, including the network state, societal decline, and the importance of shared values for cohesion. 35:00 – Wrapping up, they touch on the philosophy of investment vs. speculation, the corruption of fiat systems, and the potential for real-world assets to stabilize crypto portfolios.Key InsightsTokenization is transforming access to financial markets: David Packham explains how tokenizing real-world assets—like real estate, private debt, and startup equity—can unlock previously illiquid sectors. Through blockchain, assets become tradable, accessible, and transparent, with innovations like fractional ownership and yield-bearing tokens making markets more efficient. Chintai, his company, enables this transformation by providing compliant infrastructure for institutions and investors to engage with these assets securely.The era of IPOs may be nearing its end: Packham suggests that traditional IPOs, with their delayed liquidity and gatekeeping, are becoming obsolete. With blockchain, companies can now tokenize equity and provide liquidity earlier in their lifecycle. This changes the game for startups and investors alike, enabling ongoing access to investment opportunities and exits without needing to go public in the conventional sense.The crypto industry is maturing beyond speculation: Reflecting on the shift from the ideologically driven early days of crypto to the speculative fervor of ICOs, NFTs, and meme coins, Packham calls for a return to fundamentals. He envisions a future where crypto supports real economic activity, especially through projects that build infrastructure for compliant, meaningful use cases. Degenerate gambling, he argues, may coexist with more serious ventures, but the latter will shape the future.Decentralization is challenging traditional power structures: The conversation touches on how blockchain can reduce favoritism and control in financial systems. Packham highlights how tools like permissioned ledgers and smart contracts can enforce fairness, resist corruption, and enhance access. He contrasts this with legacy systems, which often protect elite interests, drawing on his own experience at Goldman Sachs during the 2008 crisis.Global leadership in crypto is shifting: While Singapore positioned itself as a key crypto hub, Packham notes its lack of entrepreneurial culture compared to the U.S. and China. He observes that regulatory openness is important, but business culture and capital depth are decisive. The U.S. has reemerged as a key player, showing renewed interest and drive, while Hong Kong and China continue to move boldly in this space.The societal impact of financial technology is profound: The episode explores how blockchain might influence governance and societal organization. From the potential tokenization of government operations to more transparent fiscal policies, Packham sees emerging possibilities for better systems—though he warns against naive techno-utopianism. He reflects on the dual-edged nature of technologies like CBDCs, which can enhance transparency but also increase state control.Cultural values matter in shaping the future: The conversation ends on a philosophical note, examining the tension between decentralization, cultural identity, and immigration. Packham emphasizes that shared values and cultural cohesion are crucial for societal stability. He challenges idealistic notions like the “network state” by pointing out that human nature and cultural alignment still play a major role in the success or failure of social systems.

Aaron Lowry, a restoration expert passionate about antique technology, shares insights on the intertwining of technology and human life. He discusses the fragile trust in AI and digital infrastructure, advocating for individual sovereignty and transparency. The conversation delves into cultural shifts post-COVID and the historical misunderstandings of narratives around technology and politics. Lowry highlights the practical tech adoption by Mennonite and Amish communities and the importance of designing for long-term human flourishing while managing digital dependencies.

In this episode of Crazy Wisdom, Stewart Alsop talks with Will Bickford about the future of human intelligence, the exocortex, and the role of software as an extension of our minds. Will shares his thinking on brain-computer interfaces, PHEXT (a plain text protocol for structured data), and how high-dimensional formats could help us reframe the way we collaborate and think. They explore the abstraction layers of code and consciousness, and why Will believes that better tools for thought are not just about productivity, but about expanding the boundaries of what it means to be human. You can connect with Will in Twitter at @wbic16 or check out the links mentioned by Will in Github.Check out this GPT we trained on the conversation!Timestamps00:00 – Introduction to the concept of the exocortex and how current tools like plain text editors and version control systems serve as early forms of cognitive extension.​05:00 – Discussion on brain-computer interfaces (BCIs), emphasizing non-invasive software interfaces as powerful tools for augmenting human cognition.​10:00 – Introduction to PHEXT, a plain text format designed to embed high-dimensional structure into simple syntax, facilitating interoperability between software systems.​15:00 – Exploration of software abstraction as a means of compressing vast domains of meaning into manageable forms, enhancing understanding rather than adding complexity.​20:00 – Conversation about the enduring power of text as an interface, highlighting its composability, hackability, and alignment with human symbolic processing.​25:00 – Examination of collaborative intelligence and the idea that intelligence emerges from distributed systems involving people, software, and shared ideas.​30:00 – Discussion on the importance of designing better communication protocols, like PHEXT, to create systems that align with human thought processes and enhance cognitive capabilities.​35:00 – Reflection on the broader implications of these technologies for the future of human intelligence and the potential for expanding the boundaries of human cognition.Key InsightsThe exocortex is already here, just not evenly distributed. Will frames the exocortex not as a distant sci-fi future, but as something emerging right now in the form of external software systems that augment our thinking. He suggests that tools like plain text editors, command-line interfaces, and version control systems are early prototypes of this distributed cognitive architecture—ways we already extend our minds beyond the biological brain.Brain-computer interfaces don’t need to be invasive to be powerful. Rather than focusing on neural implants, Will emphasizes software interfaces as the true terrain of BCIs. The bridge between brain and computer can be as simple—and profound—as the protocols we use to interact with machines. What matters is not tapping into neurons directly, but creating systems that think with us, where interface becomes cognition.PHEXT is a way to compress meaning while remaining readable. At the heart of Will’s work is PHEXT, a plain text format that embeds high-dimensional structure into simple syntax. It’s designed to let software interoperate through shared, human-readable representations of structured data—stripping away unnecessary complexity while still allowing for rich expressiveness. It's not just a format, but a philosophy of communication between systems and people.Software abstraction is about compression, not complexity. Will pushes back against the idea that abstraction means obfuscation. Instead, he sees abstraction as a way to compress vast domains of meaning into manageable forms. Good abstractions reveal rather than conceal—they help you see more with less. In this view, the challenge is not just to build new software, but to compress new layers of insight into form.Text is still the most powerful interface we have. Despite decades of graphical interfaces, Will argues that plain text remains the highest-bandwidth cognitive tool. Text allows for versioning, diffing, grepping—it plugs directly into the brain's symbolic machinery. It's composable, hackable, and lends itself naturally to abstraction. Rather than moving away from text, the future might involve making text higher-dimensional and more semantically rich.The future of thinking is collaborative, not just computational. One recurring theme is that intelligence doesn’t emerge in isolation—it’s distributed. Will sees the exocortex as something inherently social: a space where people, software, and ideas co-think. This means building interfaces not just for solo users, but for networked groups of minds working through shared representations.Designing better protocols is designing better minds. Will’s vision is protocol-first. He sees the structure of communication—between apps, between people, between thoughts—as the foundation of intelligence itself. By designing protocols like PHEXT that align with how we actually think, we can build software that doesn’t just respond to us, but participates in our thought processes.

In a thought-provoking discussion, Trent Gillham, known as Drunk Plato, reveals his insights on the power of memes and community narratives through his platform, Meme Deck. He examines the decline of traditional media and how AI is reshaping cultural frameworks. From the concept of hyperstition fueling innovation to the rise of meme coins in the cryptocurrency world, Trent highlights the intricate relationship between technology and belief systems. He also dives into the trust challenges posed by blockchain, all while offering a creative vision for storytelling in the digital age.

On this episode of Crazy Wisdom, I’m joined by David Pope, Commissioner on the Wyoming Stable Token Commission, and Executive Director Anthony Apollo, for a wide-ranging conversation that explores the bold, nuanced effort behind Wyoming’s first-of-its-kind state-issued stable token. I’m your host Stewart Alsop, and what unfolds in this dialogue is both a technical unpacking and philosophical meditation on trust, financial sovereignty, and what it means for a government to anchor itself in transparent, programmable value. We move through Anthony’s path from Wall Street to Web3, the infrastructure and intention behind tokenizing real-world assets, and how the U.S. dollar’s future could be shaped by state-level innovation. If you're curious to follow along with their work, everything from blockchain selection criteria to commission recordings can be found at stabletoken.wyo.gov.Check out this GPT we trained on the conversation!Timestamps00:00 – David Pope and Anthony Apollo introduce themselves, clarifying they speak personally, not for the Commission. You, Stewart, set an open tone, inviting curiosity and exploration.05:00 – Anthony shares his path from traditional finance to Ethereum and government, driven by frustration with legacy banking inefficiencies.10:00 – Tokenized bonds enter the conversation via the Spencer Dinwiddie project. Pope explains early challenges with defining “real-world assets.”15:00 – Legal limits of token ownership vs. asset title are unpacked. You question whether anything “real” has been tokenized yet.20:00 – Focus shifts to the Wyoming Stable Token: its constitutional roots and blockchain as a tool for fiat-backed stability without inflation.25:00 – Comparison with CBDCs: Apollo explains why Wyoming’s token is transparent, non-programmatic, and privacy-focused.30:00 – Legislative framework: the 102% backing rule, public audits, and how rulemaking differs from law. You explore flexibility and trust.35:00 – Global positioning: how Wyoming stands apart from other states and nations in crypto policy. You highlight U.S. federalism’s role.40:00 – Topics shift to velocity, peer-to-peer finance, and risk. You connect this to Urbit and decentralized systems.45:00 – Apollo unpacks the stable token’s role in reinforcing dollar hegemony, even as BRICS move away from it.50:00 – Wyoming’s transparency and governance as financial infrastructure. You reflect on meme coins and state legitimacy.55:00 – Discussion of Bitcoin reserves, legislative outcomes, and what’s ahead. The conversation ends with vision and clarity.Key InsightsWyoming is pioneering a new model for state-level financial infrastructure. Through the creation of the Wyoming Stable Token Commission, the state is developing a fully-backed, transparent stable token that aims to function as a public utility. Unlike privately issued stablecoins, this one is mandated by law to be 102% backed by U.S. dollars and short-term treasuries, ensuring high trust and reducing systemic risk.The stable token is not just a tech innovation—it’s a philosophical statement about trust. As David Pope emphasized, the transparency and auditability of blockchain-based financial instruments allow for a shift toward self-auditing systems, where trust isn’t assumed but proven. In contrast to the opaque operations of legacy banking systems, the stable token is designed to be programmatically verifiable.Tokenized real-world assets are coming, but we’re not there yet. Anthony Apollo and David Pope clarify that most "real-world assets" currently tokenized are actually equity or debt instruments that represent ownership structures, not the assets themselves. The next leap will involve making the token itself the title, enabling true fractional ownership of physical or financial assets without intermediary entities.This initiative strengthens the U.S. dollar rather than undermining it. By creating a transparent, efficient vehicle for global dollar transactions, the Wyoming Stable Token could bolster the dollar’s role in international finance. Instead of competing with the dollar, it reinforces its utility in an increasingly digital economy—offering a compelling alternative to central bank digital currencies that raise concerns around surveillance and control.Stable tokens have the potential to become major holders of U.S. debt. Anthony Apollo points out that the aggregate of all fiat-backed stable tokens already represents a top-tier holder of U.S. treasuries. As adoption grows, state-run stable tokens could play a crucial role in sovereign debt markets, filling gaps left by foreign governments divesting from U.S. securities.Public accountability is central to Wyoming’s approach. Unlike private entities that can change terms at will, the Wyoming Commission is legally bound to go through a public rulemaking process for any adjustments. This radical transparency offers both stability and public trust, setting a precedent for how digital public infrastructure can be governed.The ultimate goal is to build a bridge between traditional finance and the Web3 future. Rather than burn the old system down, Pope and Apollo are designing the stable token as a pragmatic transition layer—something institutions can trust and privacy advocates can respect. It’s about enabling safe experimentation and gradual transformation, not triggering collapse.

In this episode of Crazy Wisdom, Stewart Alsop speaks with German Jurado about the strange loop between computation and biology, the emergence of reasoning in AI models, and what it means to "stand on the shoulders" of evolutionary systems. They talk about CRISPR not just as a gene-editing tool, but as a memory architecture encoded in bacterial immunity; they question whether LLMs are reasoning or just mimicking it; and they explore how scientists navigate the unknown with a kind of embodied intuition. For more about German’s work, you can connect with him through email at germanjurado7@gmail.com.Check out this GPT we trained on the conversation!Timestamps00:00 - Stewart introduces German Jurado and opens with a reflection on how biology intersects with multiple disciplines—physics, chemistry, computation.05:00 - They explore the nature of life’s interaction with matter, touching on how biology is about the interface between organic systems and the material world.10:00 - German explains how bioinformatics emerged to handle the complexity of modern biology, especially in genomics, and how it spans structural biology, systems biology, and more.15:00 - Introduction of AI into the scientific process—how models are being used in drug discovery and to represent biological processes with increasing fidelity.20:00 - Stewart and German talk about using LLMs like GPT to read and interpret dense scientific literature, changing the pace and style of research.25:00 - The conversation turns to societal implications—how these tools might influence institutions, and the decentralization of expertise.30:00 - Competitive dynamics between AI labs, the scaling of context windows, and speculation on where the frontier is heading.35:00 - Stewart reflects on English as the dominant language of science and the implications for access and translation of knowledge.40:00 - Historical thread: they discuss the Republic of Letters, how the structure of knowledge-sharing has evolved, and what AI might do to that structure.45:00 - Wrap-up thoughts on reasoning, intuition, and the idea of scientists as co-evolving participants in both natural and artificial systems.50:00 - Final reflections and thank-yous, German shares where to find more of his thinking, and Stewart closes the loop on the conversation.Key InsightsCRISPR as a memory system – Rather than viewing CRISPR solely as a gene-editing tool, German Jurado frames it as a memory architecture—an evolved mechanism through which bacteria store fragments of viral DNA as a kind of immune memory. This perspective shifts CRISPR into a broader conceptual space, where memory is not just cognitive but deeply biological.AI models as pattern recognizers, not yet reasoners – While large language models can mimic reasoning impressively, Jurado suggests they primarily excel at statistical pattern matching. The distinction between reasoning and simulation becomes central, raising the question: are these systems truly thinking, or just very good at appearing to?The loop between computation and biology – One of the core themes is the strange feedback loop where biology inspires computational models (like neural networks), and those models in turn are used to probe and understand biological systems. It's a recursive relationship that’s accelerating scientific insight but also complicating our definitions of intelligence and understanding.Scientific discovery as embodied and intuitive – Jurado highlights that real science often begins in the gut, in a kind of embodied intuition before it becomes formalized. This challenges the myth of science as purely rational or step-by-step and instead suggests that hunches, sensory experience, and emotional resonance play a crucial role.Proteins as computational objects – Proteins aren’t just biochemical entities—they’re shaped by information. Their structure, function, and folding dynamics can be seen as computations, and tools like AlphaFold are beginning to unpack that informational complexity in ways that blur the line between physics and code.Human alignment is messier than AI alignment – While AI alignment gets a lot of attention, Jurado points out that human alignment—between scientists, institutions, and across cultures—is historically chaotic. This reframes the AI alignment debate in a broader evolutionary and historical context, questioning whether we're holding machines to stricter standards than ourselves.Standing on the shoulders of evolutionary processes – Evolution is not just a backdrop but an active epistemic force. Jurado sees scientists as participants in a much older system of experimentation and iteration—evolution itself. In this view, we’re not just designing models; we’re being shaped by them, in a co-evolution of tools and understanding.