On this episode of Crazy Wisdom, Stewart Alsop welcomes back guest David Hundley, a principal engineer at a Fortune 500 company specializing in innovative machine learning applications. The conversation spans topics like techno-humanism, the future interplay of consciousness and artificial intelligence, and the societal implications of technologies like neural interfaces and large language models. Together, they explore the philosophical and technical challenges posed by advancements in AI and what it means for humanity's trajectory. For more insights from David, visit his website or follow him on Twitter.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:31 Techno Humanism vs. Transhumanism02:14 Exploring Humanism and Its Historical Context05:06 Accelerationism and Consciousness06:58 AI Conversations and Human Interaction10:21 Challenges in AI and Machine Learning13:26 Product Integration and AI Limitations19:03 Coding with AI: Tools and Techniques25:28 Vector Stores vs. Traditional Databases32:16 Understanding Network Self-Optimization33:25 Exploring Parameters and Biases in AI34:53 Bias in AI and Societal Implications38:28 The Future of AI and Open Source44:01 Techno-Humanism and AI's Role in Society48:55 The Intersection of AI and Human Emotions52:48 The Ethical and Societal Impact of AI58:20 Final Thoughts and Future DirectionsKey InsightsTechno-Humanism as a Framework: David Hundley introduces "techno-humanism" as a philosophy that explores how technology and humanity can coexist and integrate without losing sight of human values. This perspective acknowledges the current reality that we are already cyborgs, augmented by devices like smartphones and smartwatches, and speculates on the deeper implications of emerging technologies like Neuralink, which could redefine the human experience.The Limitations of Large Language Models (LLMs): The discussion highlights that while LLMs are powerful tools, they lack true creativity or consciousness. They are stochastic parrots, reflecting and recombining existing knowledge rather than generating novel ideas. This distinction underscores the difference between human and artificial intelligence, particularly in the ability to create new explanations and knowledge.Biases and Zeitgeist Machines: LLMs are described as "zeitgeist machines," reflecting the biases and values embedded in their training data. While this mirrors societal norms, it raises concerns about how conscious and unconscious biases—shaped by culture, regulation, and curation—impact the models' outputs. The episode explores the ethical and societal implications of this phenomenon.The Role of Open Source in AI's Future: Open-source AI tools are positioned as critical to the democratization of technology. David suggests that open-source projects, such as those in the Python ecosystem, have historically driven innovation and accessibility, and this trend is likely to continue with AI. Open-source initiatives provide opportunities for decentralization, reducing reliance on corporate-controlled models.Potential of AI for Mental Health and Counseling: David shares his experience using AI for conversational support, comparing it to talking with a human friend. This suggests a growing potential for AI in mental health applications, offering companionship or guidance. However, the ethical implications of replacing human counselors with AI and the depth of empathy that machines can genuinely offer remain questions.The Future of Database Technologies: The discussion explores traditional databases versus emerging technologies like vector and graph databases, particularly in how they support AI. Graph databases, with their ability to encode relationships between pieces of information, could provide a more robust foundation for complex queries in knowledge-intensive environments.The Ethical and Societal Implications of AI: The conversation grapples with how AI could reshape societal structures and values, from its influence on decision-making to its potential integration with human cognition. Whether through regulation, neural enhancement, or changes in media dynamics, AI presents profound challenges and opportunities for human civilization, raising questions about autonomy, ethics, and collective progress.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with returning guest Terrence Yang for a wide-ranging discussion on critical financial and societal issues. They explore the state of U.S. federal debt, drawing comparisons to historical periods like World War II, and consider modern-day parallels with Argentina's economic struggles and the election of Javier Milei. The conversation shifts to broader reflections on government waste, regulatory overreach, and the potential for AI to streamline bureaucracy and disrupt traditional finance. Terrence shares sharp insights on Bitcoin as a long-term investment and critiques other cryptocurrencies as vehicles for insider speculation. The episode also touches on market-making, trading psychology, and the rise of autonomous vehicles, hinting at the transformative impact of AI-driven innovation. You can connect with Terrence through his LinkedIn profile.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Guest Welcome00:35 Discussing U.S. Debt and Financial Insights02:14 Historical Context and Comparisons04:38 Libertarian Governments and Economic Policies08:55 Government Spending and Regulation18:21 Homelessness and Urban Challenges23:06 Bitcoin and Cryptocurrency Insights26:22 Investment Strategies and Market Dynamics33:28 AI and Future Investments34:06 AI Market Predictions and Amazon's Strategy36:37 The Struggles of Big Tech with AI Integration38:21 The Future of Self-Driving and Flying Cars42:22 Investment Advice: Bitcoin and AI53:52 Argentina's Economic Lessons01:04:23 The Role of AI in Government and Society01:08:12 Conclusion and Contact InformationKey Insights1. The U.S. Debt Crisis Has Parallels to World War II, But the Path Forward is UnclearTerrence Yang highlights how the current U.S. debt situation resembles the debt spike seen during World War II. Back then, the U.S. "grew its way out" of debt as GDP growth outpaced debt growth. However, today’s environment is more complex, with federal net outlays growing at an unsustainable rate. While the debt-to-GDP ratio appears alarming, Yang suggests that focusing on cash flow (tax revenue minus expenditures) as a percentage of GDP offers a more nuanced view. The big question is whether the U.S. can grow its way out of debt again or if fundamental spending cuts are required.2. Bitcoin is a Long-Term Bet, But Most Other Cryptos Are Insider GamesYang views Bitcoin as the only viable long-term store of value among cryptocurrencies, while labeling most altcoins as speculative vehicles designed to "pump and dump" retail investors. He advises listeners to avoid trading Bitcoin due to the dominance of market makers like Goldman Sachs, who use superior data and trading models. Instead, he recommends dollar-cost averaging and focusing on the long-term potential of Bitcoin as "digital gold." Yang cautions against chasing short-term gains in crypto, comparing it to amateur players trying to compete with professional athletes.3. Regulatory Overreach is Stifling American Efficiency, But AI Could Change ThatThe conversation critiques the inefficiencies in U.S. government bureaucracy, using California's high-speed rail project as a cautionary tale of regulatory bloat and government waste. Terrence Yang believes AI has the potential to streamline government services, automate repetitive tasks, and reduce the need for an ever-expanding workforce. He suggests that as government employees retire, many of their roles could be replaced with AI systems, leading to leaner, more efficient public institutions. This vision echoes similar efficiency models seen in Singapore and other high-performing nations.4. The Rise of AI-Enhanced Legal and Coding ProductivityYang points out how large language models (LLMs) like ChatGPT Pro are already allowing people to reduce their reliance on lawyers and coders. People are saving thousands of dollars in legal fees by using AI to review contracts and analyze legal risks. In coding, AI tools are helping developers find errors, refactor code, and improve efficiency. Yang himself plans to use AI to help document Bitcoin's core code, a project aimed at making the codebase more accessible to non-technical users. This marks a major shift in the accessibility of technical knowledge.5. Trading is a Rigged Game, and Most People Should Stay OutYang compares day trading to amateur athletes trying to compete with NBA stars like LeBron James. Most retail investors are going up against highly sophisticated market makers like Citadel and Jane Street, who have access to superior information, tools, and algorithms. He explains that market makers profit by always being ready to buy and sell, unlike retail traders who get caught up in emotional decision-making. The best option for most people, Yang says, is to avoid trading entirely and instead invest in low-cost index funds, like the Vanguard S&P 500 fund.6. Argentina’s Crisis Offers Lessons for the U.S. on Debt and Welfare StatesDrawing on Argentina’s economic collapse, the conversation explores how unsustainable welfare policies and out-of-control debt can bring a nation to its knees. Stewart Alsop notes that while Argentina's citizens are acutely aware of their country's fiscal dysfunction, many Americans remain oblivious to similar risks in the U.S. Yang and Alsop highlight that Argentina's reliance on printing pesos mirrors what could happen if the U.S. dollar’s dominance weakens. Javier Milei's rise as Argentina's libertarian president signals a possible shift away from this broken system, but the U.S. appears far from having its own "wake-up moment."7. AI-Driven Automation Will Reshape Cities, Transportation, and JobsWaymo's driverless cars, which are already being tested in Los Angeles, represent a fundamental shift in how cities will operate in the future. Yang explains how autonomous vehicles could make traffic "less painful" by allowing passengers to be productive while stuck in slow-moving traffic. This shift will likely spur greater suburbanization as people find it more tolerable to live farther from work. Coupled with AI-driven automation in government and the workforce, the nature of cities and daily life is poised for a profound transformation, with L.A. potentially becoming more livable than it has been in decades.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Swati Chaturvedi, CEO of Propel X, to explore the world of deep tech, frontier technology, and the forces shaping the future of human progress. Swati shares her decade-long journey in deep tech, reflecting on how the term evolved as a response to the "tech startup" boom, and discusses her focus on companies leveraging breakthroughs in science and engineering for humanity's advancement. The conversation touches on the role of government support, the power of hypothesis-free experimentation, and the critical importance of partnerships between startups and large corporations. They also discuss transformative technologies like AI, autonomous drones, bioinformatics, robotics, and the possibilities and perils of human augmentation. For more insights from Swati, visit Propel X at www.propelx.com or connect with her on LinkedIn, where she shares her thoughts on innovation, R&D, and the future of technology.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:16 Defining Deep Tech and Its Evolution03:06 Challenges and Philosophical Insights in Deep Tech07:07 AI's Role in Engineering and Bioinformatics14:22 Future Shock and Human Augmentation14:35 The Evolution of Science and Technology22:58 The Future of Work and Social Dynamics24:06 Exploring Sci-Fi Genres: Cyberpunk vs. Solarpunk25:25 Exploring Solar Punk and Human Problems26:01 The Promise and Limitations of Deep Tech26:39 Economic Realities of Technological Advancements27:16 Future Impact of Emerging Technologies28:58 Challenges in Ag Tech and Environmental Concerns29:30 Global Environmental Change and Human Activity33:53 The Role of Modeling in Predicting Climate Impacts36:22 Scientific Method and Industry Collaboration39:23 Government's Role in Early Stage Research42:34 Investment Strategies in Deep Tech46:27 Consumer and Corporate Markets for New Technologies49:12 Conclusion and Future DiscussionsKey InsightsThe Rise of Deep Tech as a Distinct Category: Swati Chaturvedi explains how the concept of "deep tech" emerged as a response to the overuse of the term "tech startup" during the heyday of consumer technology. Unlike simple software apps like photo-sharing or delivery platforms, deep tech focuses on companies leveraging scientific and engineering breakthroughs to solve fundamental human challenges. This includes innovations in fields like AI, robotics, life sciences, space technology, and advanced materials. Her 2014 blog post defining deep tech has since become a widely referenced resource in the field, signaling a shift in focus from digital consumer solutions to tangible, science-based advancements.The Role of Hypothesis-Free Experimentation: Traditional scientific research follows a hypothesis-driven approach, where scientists predict outcomes before testing. Swati highlights the transformative potential of "hypothesis-free" experimentation, where AI and machine learning allow for large-scale experimentation without predefined assumptions. This approach mirrors the randomness of evolution, enabling faster discovery of unexpected results. Companies like Helix are applying this method in drug discovery, where AI-driven processes identify new therapeutic compounds. This shift could significantly accelerate R&D timelines and reduce costs in fields like pharmaceuticals and materials science.The Power of Government Support in Early-Stage R&D: Swati emphasizes the essential role of government funding in de-risking early-stage research. Through programs like SBIR (Small Business Innovation Research) grants, government agencies like the NSF (National Science Foundation) and the Department of Defense (DoD) fund exploratory research at universities and small businesses. These grants act as the "seed fund of America," investing billions annually into high-risk, high-reward projects. Companies that receive these grants often have their private sector investments matched by government dollars, providing significant leverage for investors and entrepreneurs. This public-private funding model enables startups to bridge the "valley of death" between research and commercialization.The Critical Role of Corporate-Startup Partnerships: Swati highlights the importance of partnerships between startups and established corporations, especially in deep tech. These joint development projects allow startups to access resources, validate their markets, and co-develop products with corporate customers. While some founders worry about protecting their intellectual property (IP), Swati believes that the benefits of corporate partnerships outweigh the risks. Corporate collaborations offer crucial early traction and revenue, helping startups de-risk their path to market. This is especially vital in sectors like healthcare, robotics, and clean energy, where the cost of developing and commercializing products is exceptionally high.AI as a Force for Human Augmentation: The episode explores AI's role as an augmentative force rather than a replacement for human intelligence. Swati notes that AI is best understood as a tool that allows humans to multiply their cognitive abilities—processing vast amounts of information, identifying patterns, and making faster connections. This augmentation goes beyond software, extending into physical augmentation with devices like robots and smart tools that help humans accomplish physical tasks. While AI-driven tools like ChatGPT may lead to job displacement, Swati sees it as a natural progression, requiring humans to upskill and shift to higher-value tasks.The Promise and Risks of Climate and Environmental Technologies: Swati identifies climate change and global environmental degradation as existential challenges that even the most advanced deep tech may struggle to address. Technologies like atmospheric water generation, carbon capture, and agtech are making strides, but she notes that they are not yet sufficient to solve global challenges like water scarcity, food security, and air pollution. Drawing from her personal experience with air pollution in India, Swati argues that we need to better price and internalize the "cost of the commons"—the shared environmental resources that are often depleted for private gain. Without a clear economic incentive to prevent environmental harm, she warns that climate issues will continue to escalate.The Future of Space Tech and Human Exploration: Swati expresses optimism about the commercialization of space technology, noting its growing impact on daily life. Technologies like satellite internet (e.g., Starlink) are already improving connectivity in remote areas worldwide. The use of satellites for earth observation, weather tracking, and resource management is also becoming essential for sectors like agriculture and disaster response. Looking ahead, Swati is bullish on the potential for space colonization on the moon and Mars, although she acknowledges the immense technical and ethical challenges involved. While space tech once felt like science fiction, companies like SpaceX have made it tangible and real.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop is joined by Katelynne Schuler, a thinker and innovator in the realms of psychology, religion, and philosophy. The conversation spans a wide range of compelling topics, including the layered nuances of Korean social hierarchy, the evolution of political language, and the shifting ideologies within Western conservatism. They explore the rebranding of the KKK, the deeper implications of free speech in a world dominated by digital platforms, and the unseen influence of corporations on government censorship. Katelynne also shares her insights on the psychology of "falls from grace" and how isolation during the pandemic may have catalyzed narcissistic tendencies in some people. The episode touches on larger philosophical questions about civilization, power, and media's role in shaping collective belief. To learn more about Katelynne Schuler, you can find her on Facebook under her name, Katelynne Schuler.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:32 Exploring Korean Culture and Social Nuances02:52 Language and Political Ideologies04:23 Project 2025 and Political Shifts06:21 The KKK's Rebranding and Conservatism10:25 Theocracy and Intersectionalism11:14 Free Speech and Internet History30:05 The Impact of COVID-19 and Vaccines34:15 Clearing Out and Cognitive Dissonance35:07 Pandemic Social Dynamics36:06 Narcissism and Social Isolation38:22 Conspiracy Theories and Social Impact41:34 Lockdowns and Quarantine43:25 Media Manipulation and Public Perception44:52 Nanotechnology and Conspiracy Theories49:42 Bill Gates and Genetic Engineering52:42 Trump, Publicity, and Media Influence58:41 Finance, Asset Valuation, and Media Future01:03:30 Pandemic Warnings and Conspiracies01:07:34 Conclusion and Contact InformationKey Insights1. The Power of Language in Social and Political SystemsKatelynne Schuler highlights the profound role that language plays in shaping social dynamics, drawing on Korean culture's use of honorifics as a prime example. In Korean, different forms of language are used depending on social rank, respect, and familiarity, essentially creating three distinct "languages" within one. This insight is paralleled with Western political discourse, where the left and right often use the same words but with entirely different meanings. The observation points to a broader idea that shared language does not guarantee shared understanding—a crucial realization in an era of increasing political division.2. Free Speech, Corporate Power, and Government CensorshipA central thread in the episode is the evolution of free speech in the age of digital platforms. Schuler and Alsop explore how platforms like Twitter and Facebook have become arenas where free speech is both enabled and curtailed. While platforms have the right to control content as private entities, the duo highlights the more concerning trend of governments using corporations as proxies to suppress dissent. This dynamic blurs the line between free enterprise and state censorship, raising questions about how much "free speech" really exists in online spaces.3. The Psychological Fallout of Isolation and "Fall from Grace"Katelynne offers a unique psychological perspective on how the pandemic-induced isolation created a rise in narcissistic tendencies. As people lost their social connections, especially those ostracized for holding unpopular views on COVID, their need for self-validation intensified. This "fall from grace" experience can push people toward more rigid thinking, strengthening their attachment to specific beliefs or ideologies. Schuler notes that this isn't a reflection of right or wrong beliefs but a psychological response to social exclusion. It's a profound insight into how isolation and rejection affect the human psyche.4. The Rebranding of Extremist IdeologiesOne of the more startling revelations is the claim that groups like the KKK have rebranded themselves with a new focus on Christian nationalism, moving away from racial exclusion and embracing ideological alignment with "Christian values." Schuler notes that this shift aligns with a broader push within segments of American conservatism to integrate Christian morality into governance. This evolution is compared to the broader concept of theocratic governance, where laws are designed to reflect specific religious values—a concept that is controversial, even within conservative circles.5. Global Power Shifts and Lessons from HistoryThe episode provides a historical deep dive into events like the Seven Years’ War, which Winston Churchill referred to as the first true "world war." Schuler suggests that while Germany was ostensibly defeated in this war, its real victory lay in how it exported its people and culture globally, influencing future power structures. This insight parallels modern debates about nationalism and globalism, with the hosts exploring how smaller, insulated communities might have better weathered the COVID crisis by closing off from global networks—much like Germany's "export" strategy.6. Technology, Nanotechnology, and the Role of Bill GatesAlsop and Schuler address the controversial role of Bill Gates, focusing on his investments in biotech and nanotechnology. They discuss Gates' involvement in genetically engineered mosquitoes released in South America and the ethical questions it raises. There’s also a hint of speculative intrigue around nanobots, with references to origami-style nanostructures found in human blood. While these claims are framed as emerging curiosities rather than confirmed realities, they touch on larger concerns about who controls emerging technologies and to what end.7. The Fragmentation of Media and the Future of InformationFinally, the episode explores the fragmentation of media and its impact on public consciousness. Unlike previous decades when a few major outlets shaped collective opinion, today's media landscape is fractured, with individuals curating their own reality through niche sources. While this decentralization of media offers more choice, it also leads to greater division, as people consume entirely different versions of reality. Schuler suggests that this lack of a shared narrative might weaken societal cohesion, as people lose common ground on basic truths. This shift toward decentralized media aligns with broader conversations about social media algorithms and "echo chambers," where everyone has their own version of reality.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop reconnects with Eric Fisher, one of the show’s earliest guests. Their conversation weaves through profound topics like the evolution of AI, the potential consequences of large language models (LLMs), and how AI might reshape both spirituality and education. Eric shares reflections from his time at Facebook, offering behind-the-scenes insight into the creation of algorithmic feeds and how those decisions echo into today's world of AI-driven interactions. Together, Stewart and Eric explore the nature of human attention, the future of work, and the potential divide between tech-driven living and a return to nature. Their discussion raises essential questions about where humanity is headed in the face of exponential technological change and how people can retain their sense of agency and spirit along the way. If you want to learn more about Eric visit his website mindfulimprov.com.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Reunion00:44 Reflecting on Past Interviews01:18 Spiritual Understandings and AI01:32 The Dual Nature of AI02:43 The Evolution of Facebook's News Feed05:32 AI's Role in Future Technologies13:47 AI in Education and Synthetic Data16:58 The Future of AI and Society21:54 Spirituality and Technology27:58 Humanoid Robots: Beyond Sex Dolls28:28 The Role of Robots in Agriculture and Home29:07 Industrial Robots vs. Home Robots29:44 The Philosophy Behind Technological Advancements30:22 The Vision of the Future: Post-Steve Jobs Era31:17 The Impact of AI and Automation on Society32:55 Accelerationism vs. Degrowth: The Tech Debate40:41 Demographic Crisis and the Future of Humanity45:18 Economic Inequality and the Common Man46:39 The Evolution of Political Ideologies52:09 The Future of Work and Society54:14 Concluding Thoughts and Future DiscussionsKey Insights1. The Dual Nature of AI: Promise and PerilEric Fisher highlights the dual potential of AI as both a tool for human advancement and a source of unforeseen challenges. Drawing from his experience at Facebook, he explains how algorithmic feeds designed to increase engagement eventually led to widespread issues like polarization and misinformation. This echoes in today’s world of LLMs (Large Language Models), where AI’s utility as a tool for learning, troubleshooting, and content creation exists alongside the risk of biased or manipulative outputs. The key takeaway is that technology, like a rock, is neutral — its impact depends on how it is used and who is using it.2. The Evolution of Attention as a ResourceAttention has become a central currency in the modern economy, and Fisher points out that the concept of "attention economy" wasn't even part of public discourse a few decades ago. Today, with the rise of LLM-driven AI companions and algorithmic feeds, attention is being sliced and sold with increasing precision. This shift raises questions about how much of human autonomy is being traded away in favor of frictionless convenience. As AI becomes more adept at predicting and shaping user behavior, the concept of "free will" within an attention-driven economy becomes murkier.3. The Next Phase of Education: Self-Directed Learning with AI TutorsBoth Stewart Alsop and Eric Fisher recognize the potential for AI to revolutionize education. Instead of the traditional classroom model, self-directed learning with AI-driven tutors could allow for personalized, one-on-one learning experiences for every student. Fisher notes that tools like ChatGPT have already enabled him to troubleshoot complex home systems, like his geothermal cooling system, without needing to call a specialist. This self-sufficiency could be mirrored in education, where AI assistants offer instant, tailored guidance to students across a range of subjects.4. The Blurring of Reality: Personalized AI-Generated WorldsA provocative idea discussed in the episode is the possibility of AI-generated personalized realities. Through augmented reality (AR) glasses or VR headsets, individuals could project and experience personalized versions of reality. Fisher points out that, in many ways, people already live in "personalized mental realities" shaped by language, perception, and cultural narratives. AI could make this more literal, with each person living in a bespoke, algorithmically generated world. While this concept sounds thrilling, it also hints at a future where shared consensus reality — the "real world" — becomes more fragmented than ever.5. Economic Shifts: From Worker-Centric to Business-Centric SystemsTracing the legacy of figures like FDR and LBJ, Fisher reflects on how America shifted from a society that valued the working class to one that prioritizes business interests. While earlier eras emphasized worker rights, health care, and public welfare, today's economy is focused on empowering small businesses and startups. Everyone is now expected to be a "business of one," as independent creators, gig workers, and personal brands become the dominant paradigm. The result is a world where individual workers act like micro-businesses, managing their own healthcare, retirement, and financial stability — often with no safety net.6. The Threat of Decentralized AI and the Loss of TruthWith Meta and OpenAI releasing LLMs and synthetic AI models into the open-source community, Fisher expresses concern about the fragmentation of "truth." As more people train and deploy their own AI models, the risk of misinformation rises. Just as search engines can prioritize certain content over others, decentralized AI models may be subtly — or overtly — biased. This issue becomes even more concerning if companies start inserting ad-driven recommendations into AI responses, giving users the illusion of objectivity when, in fact, they’re being guided toward a commercial end.7. The Coming Collapse and the Chance for RenewalThe episode touches on a cyclical view of history, where moments of collapse often lead to periods of rebirth. Fisher compares this to the aftermath of the bubonic plague, which killed half of Europe’s population but led to the Renaissance and an era of cultural flourishing. He speculates that a similar phenomenon could play out today. Whether through demographic decline, AI-driven disruption, or a collapse of old economic models, humanity could experience a dramatic contraction. Paradoxically, such a collapse might bring about an "age of spaciousness" where fewer people, better technology, and renewed humanism create a richer and more thoughtful way of life.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop is joined by Yury Selivanov, the CEO and co-founder of EdgeDB, for a fascinating discussion about the reinvention of relational databases. Yury explains how EdgeDB addresses modern application development challenges by improving developer experience and rethinking decades-old database paradigms. They explore how foundational technologies evolve, the parallels between software and real-world systems like the electrical grid, and the emerging role of AI in coding and system design. You can connect with Yury through his personal Twitter account @1st1 (https://twitter.com/1st1) and EdgeDB’s official Twitter @EdgeDatabase (https://twitter.com/edgedatabase).Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:27 What is EdgeDB?00:58 The Evolution of Databases04:36 Understanding SQL and Relational Databases07:48 The Importance of Database Relationships09:27 Schema vs. No-Schema Databases14:14 EdgeDB: SQL 2.0 and Developer Experience23:09 The Future of Databases and AI Integration26:43 AI's Role in Software Development27:20 Challenges with AI-Generated Code29:56 Human-AI Collaboration in Coding34:00 Future of Programming Languages44:28 Junior Developers and AI Tools50:02 EdgeDB's Vision and Future PlansKey InsightsReimagining Relational Databases: Yury Selivanov explains how EdgeDB represents a modern rethinking of relational databases. Unlike traditional databases designed with 1970s paradigms, EdgeDB focuses on improving developer experience by introducing object-oriented schemas and hierarchical query capabilities, bridging the gap between modern programming needs and legacy systems.Bridging Data Models and Code: A key challenge in software development is the object-relational impedance mismatch, where relational database tables do not naturally map to object-based data models in programming languages. EdgeDB addresses this by providing a high-level data model and query language that aligns with how developers think and work, eliminating the need for complex ORMs.Advancing Query Language Design: Traditional SQL, while powerful, can be cumbersome for application development. EdgeDB introduces EdgeQL, a modern query language designed for readability, hierarchical data handling, and developer productivity. This new language reduces the friction of working with relational data in real-world software projects.AI as a Tool, Not a Replacement: While AI has transformed coding productivity, Yury emphasizes that it is a tool to assist, not replace, developers. LLMs like GPT can generate code, but the resulting systems still require human oversight for debugging, optimization, and long-term maintenance, highlighting the enduring importance of experienced engineers.The Role of Schema in Data Integrity: Schema-defined databases like EdgeDB allow developers to codify business logic and enforce data integrity directly within the database. This reduces the need for application-level checks, simplifying the codebase while ensuring robust data consistency—a feature that remains critical even in the era of AI.Integrating AI into Databases: EdgeDB is exploring innovative integrations of AI, such as automatic embedding generation and retrieval-augmented generation (RAG) endpoints, to enhance data usability and simplify complex workflows. These capabilities position EdgeDB as a forward-thinking tool in the rapidly evolving landscape of AI-enhanced software.Balancing Adoption and Usability: To encourage adoption, EdgeDB is incorporating familiar tools like SQL alongside its advanced features, lowering the learning curve for new users. This approach combines innovation with accessibility, ensuring that developers can transition seamlessly to the platform while benefiting from its modern capabilities.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop chats with Alexander, a Gen Z innovator passionate about technology, particularly AI and blockchain. Together, they explore Alexander’s creative approach to tackling challenges like reading dense white papers, the dynamics of AI in software engineering, and the philosophical implications of emerging tech, from blockchain’s elegant simplicity to AI's transformative potential in reshaping industries. Alexander also shares insights from his journey in crypto and smart contract development, providing a glimpse into how technology and human ingenuity intertwine in the modern era. For more, follow Alexander on X at @AlexanderTw33ts.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:32 Exploring White Papers and Crypto04:55 The Gen Z Advantage and Social Media07:38 The Power of Time-Lapse Videos11:18 Understanding Bitcoin and Blockchain14:27 Smart Contracts and AI20:56 The Future of AI and Software Development32:02 The Role of Humans in the Future32:56 The Concept of Singularity33:52 Technological Merging and Its Implications35:34 The Impact of AI on Society00:43 The Future of Learning and AI55:02 Navigating the Job Market with AI01:02:09 The Human Element in a Tech-Driven World01:04:15 Conclusion and Final ThoughtsKey InsightsThe Role of AI in Learning and Productivity: Alexander highlighted how AI, particularly large language models (LLMs), has become a crucial tool for learning and productivity. By using AI, tasks like coding, debugging, and understanding complex documents, such as white papers, have become more accessible. This shift emphasizes the importance of understanding how to effectively prompt and interact with AI to maximize its capabilities.Blockchain’s Simplicity and Significance: The conversation revealed the elegant simplicity of blockchain technology, particularly Bitcoin. Despite its technical complexity at first glance, the core mechanisms—like the transaction ledger—are remarkably straightforward. This simplicity, combined with the groundbreaking nature of decentralized systems, positions blockchain as both a financial innovation and a conceptual work of art.Challenges for Gen Z with AI and Attention: Alexander discussed the unique challenges his generation faces with attention spans shaped by the internet and social media. While this digital immersion offers advantages, such as a natural aptitude for navigating tech tools, it also creates hurdles, like focusing on dense materials. He shared how creative approaches, such as time-lapse recordings for accountability, can transform learning into an engaging and rewarding process.The Future of Software Development Careers: With AI increasingly capable of performing technical tasks, the demand for junior developers may dwindle. Alexander advised aspiring developers to embrace entrepreneurship, leveraging AI to build their own projects. This approach not only enhances practical skills but also positions them as creators in a competitive market where the definition of “developer” is rapidly evolving.The Evolution of Distributed Cognition: The episode touched on how technology has transformed distributed cognition, from early written communication to the internet and now AI. Platforms like social media are already curating personalized worlds for users, but AI’s advancement could make these experiences even more immersive, raising questions about individual agency and shared reality.Navigating the Technological Singularity: Both Stewart and Alexander reflected on the concept of the technological singularity—the point at which human understanding can no longer predict future technological developments. They discussed its philosophical implications, likening it to a black hole where no one can see beyond its event horizon, emphasizing the profound uncertainty it brings to humanity’s trajectory.Balancing Human Connection in an AI-Driven World: The conversation underscored the importance of human connection and shared experiences amidst increasing AI-driven customization. While AI can create tailored virtual worlds and digital interactions, Alexander and Stewart noted the enduring value of real-world activities like engaging with nature, forming authentic relationships, and fostering creativity in a rapidly evolving technological landscape.

On this episode of Crazy Wisdom, host Stewart Alsop is joined by Dr. David Ulrich Ziegler, an independent consultant specializing in the intersection of cyber and physical utility systems. The conversation spans a range of topics including the intricacies of power grids, the historical evolution of electrical systems, and the future of energy, touching on nuclear power, solar panels, and the emerging role of AI in managing these critical infrastructures. David shares insights into the resilience of systems, lessons from nature for system design, and the potential of decentralization versus centralized control. For more on David’s work, you can find him on LinkedIn or connect via his Twitter handle @denersec.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:21 Understanding Cyber Physical Utility Systems01:52 Historical Context of Electrical Grids03:14 Alternating Current vs. Direct Current07:00 Home Electrical Systems and Safety10:11 Technological Leapfrogging and Starlink15:35 The Impact of Internet Connectivity on Society19:36 AI and the Future of Physical Systems21:20 The Evolution of SCADA Systems28:48 Nuclear Power and Decarbonization34:23 The Promise and Challenges of Small Modular Reactors36:33 Geopolitical Influences on Nuclear Power41:15 AI and the Electrification of Knowledge Work44:19 AI's Impact on Professional Workflows48:27 Connecting Data Centers to the Grid53:43 Resilience and Organic Computing in Power Systems01:03:10 The Future of Solar Panels and Energy Independence01:09:19 Concluding Thoughts and Future EpisodesKey InsightsThe Intersection of Cyber and Physical Utility Systems: Dr. David Ziegler emphasizes the importance of understanding the interconnectedness of cyber and physical systems in modern utilities. These systems, often referred to as cyber-physical systems, blend physical infrastructure, such as power grids, with advanced control and automation technologies. Historically, this integration has roots in SCADA systems, which were among the first examples of distributed computing, and remains crucial for ensuring resilience and operational efficiency in today's energy networks.The Historical Foundations of Electrical Systems: The episode highlights key moments in the evolution of electrical infrastructure, from the early debates between alternating current (AC) and direct current (DC) to the development of distributed control in power systems. Ziegler discusses how early technological decisions and innovations shaped the global grid, setting the stage for the modern challenges of integrating renewable energy and decentralized energy systems.The Promise and Challenges of Nuclear Energy: Ziegler provides a balanced perspective on nuclear power, acknowledging its potential as a low-carbon energy source but highlighting challenges such as high costs, public fear, and the complexities of large-scale projects. He notes the emerging interest in modular reactors, which aim to reduce costs and improve scalability, but stresses that their real-world impact is still to be proven.The Role of Renewable Energy and Storage: A major focus is on the rapid advancements in renewable energy, particularly solar power, and the associated need for effective storage solutions. Ziegler explains the dramatic drop in costs for lithium-ion batteries, making short-term energy storage more viable. However, he underscores the ongoing challenge of developing affordable long-term and seasonal storage technologies to support a 100% renewable energy system.Data Centers as Emerging Energy Consumers: The growing demand for electricity from data centers, especially those supporting AI technologies, is a significant trend discussed in the episode. Ziegler points out that data centers could consume up to 8-9% of total electricity in regions like Europe and the U.S. by 2030, driven by the energy-intensive nature of AI computations. This shift necessitates innovative approaches to grid connectivity and efficiency.Decentralization vs. Centralization in Grid Design: The debate over centralized versus decentralized energy systems is a recurring theme. Ziegler explains how historical constraints on communication bandwidth led to resilient, distributed architectures in power grids. He advocates for hybrid systems that balance centralized control with localized decision-making, drawing inspiration from biological systems like the human body for their adaptability and resilience.The Global Energy Transition and Geopolitical Risks: The episode explores the geopolitical dimensions of the energy transition, including dependencies on materials like lithium and solar panel production concentrated in regions like China. Ziegler argues that while local renewable energy generation reduces reliance on external energy sources, the global supply chain for components remains a vulnerability. He also emphasizes the need for greater resilience and strategic planning to navigate potential disruptions.

In this episode of the Crazy Wisdom Podcast, I, Stewart Alsop, sit down with Matt Omernick, a pioneer in leveraging interactive technology for health and cognitive improvement. We explore his journey from traditional game development to creating transformative digital therapeutics, touching on how technology like video games and AI is reshaping cognitive health, creativity, and human potential. Matt also shares his insights into the FDA approval process for these groundbreaking tools, discusses the role of creativity in a tech-driven future, and highlights the importance of ethical AI practices. For those interested in Matt’s work, you can connect with him on LinkedIn to dive deeper into his ongoing projects.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Guest Welcome00:29 Neuralink and Cognitive Impairment01:20 The Cognitive Crisis and Technology's Role03:18 Digital Therapeutics and AI Biometrics03:44 AI Augmentation and Creativity05:33 The Future of AI and Creativity08:02 Closed Loop Systems and Personalized Technology11:42 Generative AI and Ethical Considerations16:20 Art, Suffering, and Creativity19:30 The Human Element in AI20:10 Adaptability: Humanity's Strength and Weakness22:05 The Role of AI in Creative Fields23:08 Fragmentation and Tribalism in the Age of AI24:46 Evolutionary Biology and Human Adaptation28:14 Digital Health and Therapeutics30:33 Navigating the FDA Approval Process35:46 The Future of AI in Bureaucracy39:37 Conclusion and Contact InformationKey InsightsTechnology as a Tool for Cognitive Health: Matt Omernick highlights the transformative potential of interactive technologies like video games in addressing cognitive impairments. Once stigmatized, video games are now proving to be powerful tools in promoting mental health, supported by rigorous scientific evidence. These innovations open a new frontier in digital therapeutics, making it possible to create adaptive experiences that train the brain and yield measurable, durable improvements in cognitive function.The Role of AI in Creativity and Problem-Solving: AI is reshaping creativity by serving as an augmentation tool rather than a replacement for human ingenuity. Matt draws parallels to the introduction of tools like Photoshop, emphasizing that AI enables artists and creatives to work faster, experiment more, and push boundaries, while still relying on human input to guide its applications. This partnership between humans and AI is a significant shift, particularly in industries like gaming and digital art.The Cognitive Crisis of Overstimulation: Modern society faces a cognitive crisis driven by unprecedented levels of stimulation from technology. Matt discusses how primitive brain structures are struggling to cope with the demands of a hyper-connected world. However, instead of retreating from technology, he advocates leveraging it intelligently to create systems that help humans adapt and thrive in this new environment.FDA Approval as a Milestone for Digital Therapeutics: Achieving FDA approval for a video game-based therapeutic was a groundbreaking step, validating the legitimacy of this new form of medicine. The process involved creating a new regulatory framework tailored to digital products, blending the rigor of traditional clinical trials with the flexibility of software development. This achievement paves the way for future innovations in digital health.The Power of Closed-Loop Feedback Systems: Closed-loop systems, which continuously measure and adapt based on user input, are central to the success of digital therapeutics and other adaptive technologies. Matt explains how this approach not only optimizes cognitive training but also offers a model for creating highly personalized and effective interventions in health and wellness.Ethics and Responsibility in AI Development: Matt underscores the critical need for ethical practices in AI, particularly in creative fields. Protecting artists’ rights, ensuring transparency in how AI is trained, and addressing potential biases are essential for fostering a future where technology serves humanity’s best interests without exploitation or harm.A Hopeful Vision for the Future: Despite potential dystopian outcomes, Matt remains optimistic about the trajectory of technology. He believes humanity’s adaptability and creativity will guide us toward solutions that enhance our lives and address major challenges. His work exemplifies this optimism, focusing on creating tools that blend technological sophistication with ethical and human-centered design principles.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop interviews Tim Bajarin, Chairman of Creative Strategies, Inc., for a fascinating exploration of the evolution of technology. The conversation spans Tim’s early career during the dawn of personal computing in the 1980s, historical reflections on pivotal inventions like Gutenberg's printing press, the legacy of Xerox PARC, and the rise of Apple’s graphical interface and desktop publishing. They also discuss the human dynamics of innovation, from the tight-knit tech communities of Silicon Valley to parallels with historic institutions like the Royal Society. For more insights into Tim Bajarin’s ongoing work, you can explore his articles on Forbes or visit Creative Strategies at creativestrategies.com.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Guest Background00:54 Entering the PC Market in the 1980s05:39 Historical Context and Technological Evolution13:21 The Impact of Desktop Publishing24:54 The Role of Historical Knowledge in Technology38:12 The Influence of British Technological Advancements47:30 Conclusion and Final ThoughtsKey InsightsThe Historical Context of Innovation is Crucial for Understanding Technology's Future: Tim Bajarin emphasizes that to forecast the future of technology, one must understand its historical roots. His career as an analyst has been informed by studying transformative moments like Gutenberg’s printing press and innovations in the 1800s, including the Royal Society’s influence on science and technology. This perspective underscores how historical breakthroughs set the stage for modern advancements.The Birth of Personal Computing Was a Collaborative Effort: Bajarin’s entry into the tech industry coincided with the IBM PC launch in 1981. He became one of the first PC analysts, working with companies like Compaq, Dell, and Apple. The development of personal computing was fueled by close-knit communities of engineers and innovators who shared ideas, much like the collaborative environment of historical groups like the Royal Society.Xerox PARC’s Innovations Were the Bedrock for Modern Computing: The role of Xerox PARC in shaping today’s computing landscape is highlighted as pivotal. Bajarin recounts their invention of the graphical user interface (GUI) and the mouse, which were foundational for Apple’s Mac. Although Xerox didn’t capitalize on these ideas, their contributions enabled Steve Jobs and others to build the computing paradigms we use today.Desktop Publishing Revolutionized Communication and Creativity: Bajarin predicted the desktop publishing boom, thanks to innovations like Apple’s laser printer, PageMaker software, and PostScript technology. These advancements transformed the publishing industry, allowing individuals and small businesses to create professional-quality content, democratizing access to creative tools.Steve Jobs’ Return to Apple Marked a Turning Point in Design and Vision: When Steve Jobs returned to Apple in 1997, the company was near bankruptcy. Bajarin describes how Jobs refocused Apple on its core customers, introduced innovative industrial design, and created products like the colorful iMac. This redefined how consumers viewed computers, blending functionality with aesthetic appeal and cementing Apple’s market position.The Evolution of Technology is Driven by Both Process and Innovation: Bajarin explains how every major technological leap, from the printing press to the PC, has involved the convergence of innovative devices and refined processes. For instance, advancements in printing presses during the 1800s mirrored the systematic innovations in the tech industry during the 1980s and 1990s.The Role of Community and Networks in Driving Innovation: The episode draws a parallel between the 1980s tech clubs in Silicon Valley and earlier knowledge-sharing networks, such as the letter-writing analysts of Renaissance Italy or the Royal Society. Bajarin illustrates how communities of like-minded individuals, whether in tech or science, have always been instrumental in fostering innovation.