Crazy Wisdom

Intro Allison Durham Focus: Exploring AI, Software Development, and the Human Mind What is the Human Mind? Allison doesn't make a distinction between the brain and the mind. She sees the mind as a dynamic range of cognitive experiences that include thoughts, perception, and self-awareness. The mind exists alongside the human experience and is fully integrated with bodily sensations. On Consciousness Allison discusses the topic of consciousness, noting that awareness can vary in its intensity. She mentions an intriguing question: Can awareness exist without the brain? She recalls an interesting conversation with a friend who asked her about consciousness and awareness. The Experience of Dreams Allison describes a dream she had that was "rooted in Earth," contrasting it with another dream featuring a monstrous, otherworldly creature. She emphasizes her ability to fully visualize experiences in her dreams, even though she struggles with visualization in her waking life. Aphantasia and Visualization Allison brings up the concept of Aphantasia, where people have difficulty visualizing images. She explores the idea that visualization might be trainable, mentioning techniques such as the "candle technique" to improve skill. She notes that while most people can recall memories with images, these people also often have underdeveloped other sensory recall like smell and hearing. Software Development and AI Allison talks about Rust, a systems-level programming language she enjoys using. She delves into the concept of Site Reliability Engineering (SRE), explaining it stems from Google's earlier operations methods. She praises GitLab for packaging all the tools needed for DevOps, making it more accessible. She explores the concept of MLOps, which focuses on getting machine learning models into production. She finds the speed of open-source AI development both exciting and challenging, noting that problems can't be fully solved before new ones appear. Personal Psychology Framework Allison discusses her psychological framework, leaning heavily on mindfulness-based tactics. She believes in being fully aware of one's thoughts and emotional state, and she finds this awareness essential for taking proper action in life. Final Thoughts She mentions her website, AdjectiveAllison.com, and her social media handle, AdjectiveAllison on X. Time Stamps: 2:30 - Discussing the nature of the mind and its relationship to the brain and awareness 5:00 - Allison explains her experience with aphantasia 7:30 - Stuart talks about training himself to visualize through meditation 9:00 - Whether imagination and visualization can be trained as skills 11:00 - Allison's perspective on not training her own visualization abilities right now 12:00 - Allison's interest in learning Rust programming language 14:00 - Using ChatGPT to assist with engineering problems as a "rubber duck debugger" 16:00 - Explanation of DevOps, APIs, serverless solutions like Repl.it 19:00 - How AI may or may not change API and engineering architectures 21:00 - Automation as connecting APIs; engineers building instead of using no-code 23:00 - AI unlikely to change API interface itself, complexity happens behind it 24:00 - Allison's favorite psychological framework is mindfulness 25:30 - Aligning with specific frameworks depending on the problem

Introduction: John Lee is an early-stage investor focusing on deep tech, enterprise software, cybersecurity, AI/ML, and automation. What is Deep Tech? Deep tech companies are similar to biotech companies in terms of capital structure. Unlike traditional tech startups, they have a longer incubation period to accrue value. Capital Allocation and Business Models Scarcity of capital drives better business models. Interesting hybrid models exist that are designed to develop revenue in the near term. Examples from the Portfolio Rare Base: Focuses on finding cures for rare diseases by characterizing cells and testing drugs on them. Sells IP assets as a novel business idea. Count: Aims to make accounting firms more efficient by acquiring existing firms and implementing AI techniques. Innovation in Deep Tech Despite a renaissance in funding, deep tech has not yet penetrated the lives of ordinary consumers. The scarcity of capital is forcing companies to be more creative in their go-to-market strategies. Notable Geographical Clusters San Francisco and Boston are significant clusters for deep tech companies. Artificial Intelligence and Large Language Models (LLMs) LLMs are seen as collections of human intelligence trained on internet content. Emergent properties arise from the crosstalk across different nodes in LLMs. Future of LLMs Doubts exist about the ability of current models to scale. OpenAI aims to develop models with 100 trillion parameters, although the feasibility of this is debated. The Intersection of Science and Deep Tech Science is transitioning from an "artisanal" practice to an engineering discipline. Application Areas Reproductive Innovations: Research is being conducted on how to effectively assist couples in having children later in life. Energy: A debate exists over the effectiveness of fusion vs fission in energy production. Business Model Concerns Long regulatory approval times are a challenge. Jazz Venture Partners focuses on the convergence of deep tech and science, aiming for creative translation.

What is Cerebrium? Michael Louis, the episode's guest, introduces Cerebrium as a platform that deals with abstractions on two levels, specifically focusing on GPUs and scaling for machine learning applications. The Importance of GPUs in LLMs Why are GPUs essential for large language models (LLMs)? GPUs have the capability to handle tens of gigabytes of data, which makes them superior to CPUs for LLM tasks. The cost challenge: Running GPUs 24/7 is not feasible due to their high costs. Serverless computing is becoming crucial for making GPU usage affordable. Financial Considerations Generating a million API requests could cost tens of thousands of dollars, highlighting the importance of cost-efficient solutions. Enterprise-level solutions could cost a couple of million dollars annually. Use Cases and Limitations Instacart uses specific and fine-tuned models for its operations. When customer support bots answer queries, each question processed by a 100-billion parameter model can cost approximately ten cents. One of the challenges is latency; the time delay is often too high for practical applications. The Role of Specialized Chips Companies like AWS are developing specialized chips for specific use cases to combat latency and other issues. GPT-4 and similar models are opening doors for generative AI and traditional machine learning applications. The Future: AGI vs. Autonomous Agents Autonomous agents and Artificial General Intelligence (AGI) differ in their approximations and semantic understanding. AGI is considered the terminal reference for fully self-aware AI, while autonomous agents operate based on defined workflows. Impact of AI and Ethical Considerations Michael Louis aims to make machine learning more accessible for medium-sized enterprises. There is a significant challenge in regulating technology that we do not yet fully understand, like cryptocurrency. Global Perspectives and Social Impact Louis discusses the high unemployment rate in South Africa and the importance of understanding the privilege of a job. He emphasizes the role of power in making a social impact. Building B2B Relationships In-person relationships are essential for B2B success. Louis stresses the need for penetrating network circles for business advantage. Personal Journey and the Importance of Adaptability From his early days in South Africa studying computer science to becoming an entrepreneur, Louis talks about his life journey. He shares the experience of selling a startup to Walmart and what led him to his current venture. Robotics and AI Louis believes that context awareness for robotics is the future, citing examples from Boston Dynamics and others. He discusses the ethical implications of robots in everyday life and their potential in various fields like space travel and mining.

Prasad Kawthekar is the CEO of Dashworks.ai The Evolution of Enterprise Software: Three waves of enterprise software: On-premise enterprise software. Software deployed top-down on the internet. The third wave we currently live in: SaaS consumers. Challenges are becoming increasingly pronounced. Comparing Web Search with Internal Searches: Web search benefits from standardized languages and platforms, such as HTML. Internal company applications deal with varied data sources and lack user data for training. The Role of AI in Knowledge Management: AIs excel at parsing unstructured data. Legacy products relied on custom parsers and integrations, making maintenance challenging. Modern AIs, such as LLMs, offer real-time, generalizable solutions. LLMs negate the need for data indexing and simplify integrations. Challenges in Data Analytics: Many teams aspire to be data-driven. Navigating data warehouses can be intricate. Ensuring accurate, relevant data is paramount. AI's Potential and Limitations: AIs can pinpoint unstructured data, like Zoom transcripts and Slack messages, but human interpretation is crucial. Current AI technology has boundaries in terms of memorization, accuracy, and relevance. The future vision: intuitive AI tools that everyone can use, even without technical expertise. The Evolution of Software Development with AI: Coding is moving towards more abstraction, making it as simple as conversing with a person. Programmers are becoming more productive. A potential surge in the number of people who can create custom tools using AI. Economic and Technical Implications of AI: Speculating on the future economy and the role of AI. Infrastructure challenges, including storage, database, and compute layers. The promising direction of infrastructure provisioning using AI. Future Directions for Dashworks: Emphasizing data warehousing and analytics. The significance of manipulating APIs and building reliable systems. Ambitions for the upcoming six months, such as enhancing API call functionalities.

Show Notes for the Camilo Acosta Episode on Crazy Wisdom Introduction Camilo Acosta joins us to discuss a broad range of topics surrounding AI, from its application in healthcare to its growing influence in Latin America. He dives deep into how AI technologies are evolving and what that means for businesses and consumers alike. Follow Camilo here Key Takeaways The Astounding Capability of AI in Healthcare AI technologies can predict potential maladies with high accuracy. Notable advancements in healthcare AI are taking place at Mayo Clinic. The Current State of AI Prediction AI technologies have moved beyond generative images and text and now predict what we want to see or read. Future of AI: Action Over Prediction The next step in AI evolution is not just predicting events but acting on those predictions. The Three-Step Process for Decision Making Collect data, apply judgment, and make a decision. Noteworthy AI Companies Up-and-coming companies are making strides in areas like AI robotic surgery. The Role of AI in Latin America Latin America presents a blue ocean opportunity for new AI businesses. Financial Services and AI Banks like BBVA are starting to integrate AI technologies. Communication Through WhatsApp 70% of businesses in Latin America are using WhatsApp for various activities. AI and Automation AI enables more complex workflows than rules-based automation. Emerging Trends and Technologies LLMs, open source contributions, and more are shaping the future of AI. Detailed Discussion Most Interesting AI Developments Medical Field: The ability for AI to predict potential health issues is not just promising but is already showing results. State of AI Predictive Technology Prediction Machines: Current AI technology is capable of generating text and images based on prompts and predicting user behavior. Future of AI Taking Action: The ultimate goal for AI is to not just predict but also to act on those predictions. Healthcare Innovations Mayo Clinic: Mayo Clinic is at the forefront of implementing AI in healthcare, with particular emphasis on diagnostics. Decision-Making in AI Data, Judgment, Decision: A typical decision-making process in AI involves collecting data, applying judgment based on that data, and then making decisions. Latin America's AI Landscape Blue Ocean Opportunity: There's a lack of strong incumbents in the AI space, providing new entrants with less competition. Automation vs. AI Differences: Rules-based automation is not AI; AI involves more complex workflows and decision-making processes. Quotable Moments "The next step in AI evolution is not just predicting events but acting on those predictions." "Latin America presents a blue ocean opportunity for new AI businesses."

In this thought-provoking episode, we delve into a myriad of topics ranging from the complexities of curatorial practice in art to the secular study of religion. Nico Sarian guides us through an intellectual journey that stretches from the art scene in Moscow to the academic corridors of the University of Toronto, touching on astrology, Zen Buddhism, and the nature of suffering along the way. Prepare for a multi-layered discussion that challenges conventional wisdom and explores the intersections of art, religion, and culture. Join the awesome whatsapp community that Nico is helping to build Early Life and Academic Background Nico Sarian began his career journey after completing high school and entering the world of fashion. Intrigued by the art world, he transitioned into academia due to a spiritual crisis. Nico studied art history and philosophy at King's College in London, and this led to work as an art curator in Moscow. Defining a Curator According to Nico, the role of a curator involves managing a triangle between works of art, the public, and the space or architecture. Failing to manage all three elements would reduce a curator to merely a critic. The role of a curator is likened to that of a priest in that they serve as a mediator between these elements. Evolution into Religious Studies Nico later began teaching at a British art college in Moscow, which fueled his interest in theory, aesthetics, and teaching. After discovering the field of religious studies, he started studying it in a secular context at the University of Toronto. Influence of Russian Culture Nico spent considerable time in Russia and was in a relationship with a Russian woman for four to five years. He studied the Russian language to immerse himself fully in the culture, stating that Russia felt like another planet to him. Esoteric Studies Nico discussed various aspects of astrology, Zen Buddhism, and Shintoism. He mentioned Richard Tarnas as a researcher who places astrology in a historical context and contrasts Vedic and Western astrology. The demotion of Pluto to an asteroid sparked a debate about its relevance in modern astrology and contemporary life. The Philosophical Angle Nico is a critic of modernity and holds a deep academic viewpoint. His questioning of our modern belief systems was influenced by philosophers like Bruno Latour, who claimed, “We have never been modern.” Questioning Religion and Spirituality Nico wrestles with the concept of secularism in religious studies. His inability to give a straight answer to whether he believes in God stems from his view that the term 'secular' is an illusion. Life Philosophy Nico argues that suffering is not a problem; rather, it's the inability to deal with suffering that becomes the problem. He spent three years studying Sanskrit and used the term “Duhka” to discuss the concept of suffering. Future Directions Nico mentioned the idea of creating an infinite discussion board that incorporates various perspectives, aiming to foster and create symbolic capital. The episode delved into Nico's multifaceted life journey, from art and fashion to philosophy and religious studies. He provided a comprehensive view of how different disciplines intersect and inform each other, offering a critique of modernity along the way.

Introduction: Guest: Julie Fredrickson, Managing Partner at Chaotic Capital. Chaotic Capital is a seed-stage investment vehicle that focuses on ideas adapting humanity to complexity. Follow her on Twitter Adapting to Complexity: Julie raises the essential question: "What is the primary factor linking humanity to complexity?" As things change, it's vital to learn how to adapt and evolve. It's about more than just the traditional liberal-conservative divide. Understanding Change: Discussion on "Chesterton’s fence" – a principle highlighting the importance of understanding the reasons behind a tradition before discarding it. We often don't have all the information about why certain systems or structures exist. The concept of a "conservative accelerationist" is introduced. What traditions or values do people want to preserve in the face of rapid change? Historical Perspective & Our Understanding: Examples from history highlight our ever-evolving understanding. A millennium ago, the earth was thought to be centered; 500 years ago, it was believed flat. The movie "Men in Black" underscores the fluid nature of human understanding, challenging our conceptions and paradigms. Julie emphasizes the power of human inference – our unique ability to draw conclusions from information. Given our current knowledge, how does this skill evolve, and what questions do we need to ask to better understand our surroundings? Role and Limitations of AI: The conversation delves into whether we've provided enough context to AI systems. A significant concern is AI alignment – to what or whose standards is AI being aligned? Is it the median human, societal norms, or something else? The prospect of AI achieving human-like inference and skepticism is explored. Can AI be trained to question and fact-check itself? The Internet, Open Source, and Corporations: A retrospective on the internet's evolution, from closed corporate internets to open source. The dilemma of whether we'll be using corporate Large Language Models (LLMs) or open-sourced LLMs in the next five years. Culture, Symbols, and Power: Julie's career in fashion, beauty, and luxury offers insights into symbols and semiotics. Language isn't the only medium of communication. Who truly owns culture, and who holds the power? Transhumanism and Medical Ethics: Julie discusses her college days as a medical ethicist researching cloning during 2002-2006. The topic of transhumanism is broached. Julie posits that in many ways, we are already transhuman, referencing technologies like fertility treatments. There's a debate about the risks of corporate interests dominating AI and transhumanist technologies. The future is uncertain, and it's impossible to predict the outcomes fully. Preparing for the Age of Acceleration: Quoting William Gibson, "The future is here, but it's unevenly distributed," Julie ponders the accelerating pace of change. She seeks solace and insights from groups focused on effective accelerationism and those termed "doomer optimists." Julie touches on resource scarcity, arguing that human wants will always exceed available resources. She briefly addresses the topic of prepping and the challenges associated with it. Conclusion: Julie underscores the importance of agency. It's essential to ask who's influencing our decisions and who's potentially programming our behaviors.

Introduction: David Hundley is a Machine Learning Engineer who has been deeply involved with experimenting with Large Language Models (LLMs). Follow along on his twitter Key Insights & Discussions: Discoveries with LLMs: David recently explored a unique function of LLMs that acted as a 'dummy agent'. This function would prompt the LLM to search the internet for a current movie, bypassing its training limitations. David attempted to utilize this function to generate trivia questions, envisaging a trivia game powered by the LLM. However, he faced challenges in getting the agent to converge on the desired output. Parsing the LLM's responses into a structured output proved especially difficult. Autonomous Agents & AGI: David believes that AGI (Artificial General Intelligence) essentially comprises autonomous agents. The prospect of these agents executing commands directly on one's computer can be unnerving. However, when LLMs run code, they operate within a contained environment, ensuring safety. Perceptions of AI: There's a constant cycle of learning and revisiting motivations and goals in the realm of AI. David warns against anthropomorphizing LLMs, as they don't possess human motivations. He stresses that the math underpinning AI doesn't align with human emotions or motivations. Emergent Behavior & Consciousness: David postulates that everything in the universe sums up to a collective result. There's debate over whether living organisms possess true consciousness, and what it means for AGI. The concept of AGI emulating human intelligence is complex. The human psyche is shaped by countless historical experiences and stimuli. So, if AGI were to truly replicate human thought, it would require vast amounts of multimodal input. A challenging question raised is how one tests for consciousness in AGI. David believes that as we continue to push technological boundaries, our definition of consciousness will keep shifting. Rights & Ethics of AI: With advancing AI capabilities, the debate around the rights of AI entities intensifies. David also touches upon the topic of transhumanism, discussing the trajectory of the universe and the evolution of humans. He contemplates the potential paths of evolution, like physically merging with technology or digitizing our consciousness. AI's Impact on Coding & Jobs: David reflects on the early days of AI in coding. He acknowledges the transformative potential of AI in the field but remains unworried about AI taking over his job. Instead, he focuses on how AI can aid in problem-solving. He describes LLMs as "naive geniuses" - incredibly capable, yet still requiring guidance. Open Source & OpenAI: David discusses the concept of open source, emphasizing the transparency it offers in understanding the data and architecture behind AI models. He acknowledges OpenAI's significant role in the AI landscape and predicts that plugins like ChatGPT will bridge the gap to further automation. Math's Role in AI: The conversation delves into the importance of math in AI, with David detailing concepts like gradient descent and its role in building neural networks. David also touches on the evolution of AI models, comparing the capabilities of models with 70 billion parameters to those with 7 billion. He predicts that models with even more parameters, perhaps in the trillions, will emerge, further emulating human intelligence. Future Prospects & Speculations: David muses on the future trajectory of LLMs, drawing parallels with the evolution of AlphaGo to AlphaZero. The episode concludes with philosophical musings on the nature of consciousness and its implications on world religions.

Introduction: In this episode, the renowned Pablos Holman (Website) discusses how science fiction is transitioning into reality, particularly in the realm of technology. Drawing on his expertise, Pablos sheds light on revolutionary concepts that are pushing the boundaries of what was once believed impossible. Main Points: Space-based Solar Energy: Pablos recently witnessed the conception of a company aiming to place solar panels in space. The primary challenges on Earth, such as clouds and nighttime, are nonexistent in space, which experiences constant light. The innovative solution involves capturing this 24/7 solar energy in space and transmitting it to Earth through radio waves, a concept called "Vertis Solis." This can potentially offer scalable, carbon-free energy. The Dyson Sphere Concept: A theoretical idea that involves surrounding a star with solar panels to harness its energy. While it remains an extreme long-term science fiction aspiration, its possibilities are intriguing. Wireless Energy Transfer: Wireless energy transfer isn't new; it's how radio and wifi work. However, they aren't optimized for transferring substantial energy. With advances in beam steering technology, this might soon change. By focusing solar arrays directly at antennas on Earth, efficient energy transfer can be realized. Space Exploration and Ecosystem: Cost has always been a limiting factor. From the space shuttle days, where reusable rockets were only a dream, we've come a long way with companies like SpaceX bringing the cost down significantly. With the lowered cost, activities like manufacturing and asteroid mining in space become more feasible. These ventures, although promising, also come with huge technical risks. Manufacturing in Space: There are inherent advantages to space manufacturing. The vacuum of space can produce better-quality computer chips. The absence of gravity also has significant effects on the atomic scale, potentially enhancing semiconductor production and other goods. Investment Curve and Deep Tech: Holman emphasizes that while software is indeed revolutionizing industries, it's essential not to neglect deep tech. Unlike typical startups focused on short-term applications, deep tech aims at the fundamental challenges facing humanity. Challenges with 3D Printing: While the concept of 3D printing was groundbreaking, its real-world application faced obstacles. The solution lies in a different approach – building layer by layer, utilizing recyclable inputs like used coffee grounds, thereby revolutionizing manufacturing. Misconceptions and Course Corrections: Pablos asserts that humans often latch onto the wrong stories or misconceptions, hindering progress. He cites examples like the confusion between reactors and bombs, and the historical outlawing of psychedelics, which are now considered potential treatments for PTSD. Closing Remarks: Pablos stresses the importance of storytellers in shaping our future. The right narrative can direct our collective efforts towards genuinely transformative goals. He invites listeners to connect with him and shares that he's fortunate to meet innovative minds daily, always pushing the boundaries of possibility. Contact: For those intrigued by Pablos' insights, he can be reached at [email protected] and also listen to the Deep Future podcast.

Show Notes for Crazy Wisdom Podcast Episode with Subutai Ahmad Introduction The episode features Subutai Ahmad, the CEO of Numenta and a pioneering figure in both neuroscience and artificial intelligence (AI). The discussion navigates the complex relationship between the human brain's architecture and contemporary AI models like deep learning systems. Topics range from the historical evolution of these disciplines to the cutting-edge research that could shape their future. Historical Perspective The initial inspiration for artificial neural networks came from our rudimentary understanding of how neurons and connections work, going back to the 1940s. Donald Hebb significantly influenced the back-propagation model developed in the 1980s. Hebb's work, combined with the discoveries of Hubel and Wiesel in the '50s, laid the groundwork for understanding how neurons learn features from the visual world, including edge detectors and higher-level shapes. State of Neural Networks Today Despite advancements, today’s neural networks still rely on a simplified model of what a neuron is, and they differ fundamentally from biological systems. One glaring difference is in power consumption; a human brain uses only about 20 watts, while running a deep learning network can require power equivalent to an entire city. Learning Modes and Algorithms Deep learning systems usually operate in two modes: inference and training. In contrast, the human brain doesn't distinguish between these states, learning continuously from environmental stimuli. Algorithms, particularly back propagation, are still part of the problem. They try to minimize error, unlike the brain, which adapts and learns contextually. The Numenta Angle Founded by Jeff Hawkins and Donna Dubinsky, Numenta has been researching to understand the principles underlying brain function. Recently, they have focused on applying this understanding to AI. Their approach comprises three main pillars: Efficiency: Using 'sparsity' to mimic the brain's efficient use of connections. Neuron Model: Incorporating the complex nature of neurons for continuous learning. Cortical Columns: Employing a standardized neural circuitry model to replicate intelligence. The Road Ahead For the future, Subutai discusses the need for AI systems to be autonomous and embodied, suggesting that agency and embodiment are crucial aspects of intelligent systems. He also touches on the importance of including elements like neuromodulators and even explores the potential role of quantum physics in neural processing. Conclusion We are in a transformative era where AI is far from being fully realized. Organizations are still trying to grasp how to incorporate these technologies effectively. However, the future is promising, especially with interdisciplinary approaches like Numenta's that blend neuroscience with AI, focusing on understanding the brain's core principles to improve AI's capabilities.

Introduction: Mikkel Steen, CEO of Everest (reach out directly: [email protected]), discusses the modern business environment and how his company Everest fits within it. Changing Work Environment: Remote and Asynchronous Work: Mikkel observes shifts towards more remote and asynchronous work and the need to replace traditional meetings with efficient alternatives. Tools and Models: He mentions various tools to facilitate asynchronous work, like newsletters for team updates, to provide a better, more engaging model. Opportunities and Challenges: While seeing many opportunities, Mikkel also notes the fallacy of simply replacing in-person meetings with Zoom and the challenges of coordinating different time zones. Everest's Role and Offerings: Executive Support System: Everest is creating an advanced executive support system, aiming to handle various aspects of a person's life, from scheduling to purchasing, more empathetically. Role of EA (Executive Assistant): Mikkel likens an EA to Robin for Batman. EAs are considered amplifiers, filters, reminders, and therapists that help in various professional and personal adjustments. Therapeutic Support: Everest's EA makes people feel cared for, addressing the loneliness often felt in leadership roles. Differentiation from Other Services: Unlike mere therapy, Everest's service also considers the productivity aspect and actively assists in various tasks. Technology's Impact on Everest: Automation and Human Connection: Everest integrates technology to handle routine tasks, allowing more time for human interaction and understanding. Coordination Costs: The reduction of coordination costs is a key focus, allowing Everest to be more efficient and proactive. Conscious Living and Autopilot: Understanding Autopilot: Mikkel delves into how about 99% of decisions are made unconsciously. Recognizing and observing these patterns leads to more conscious decision-making. Role of EA in Mindfulness: The support of an EA allows individuals to have more focused attention and make more conscious choices, helping them regain control over their lives. Scaling Everest: Challenges in Scaling: Mikkel shares Everest's plans to scale and the complexities involved, from recognizing patterns to delivering on promises. Coordination and Patterns: Mikkel speaks about the necessity to decrease coordination costs and recognize new patterns in scaling functions. Everest's Approach to Productivity: Proactivity: By predicting moves and intentions, Everest allows users to become more proactive. Data Utilization: Through collecting and analyzing data, Everest can engineer profiles to assist clients better. Philosophical Insights: Patterns and Predictions: Mikkel discusses pattern recognition and how humans are naturally equipped for this, which is fundamental to Everest's approach. Health and Prevention: He compares Everest's role to eating healthily and preventing problems rather than merely solving them. Mindfulness in Decision Making: The path to more conscious decision-making involves focusing on what's essential, something that Everest facilitates by acting as a shield and aid. Concluding Remarks: What's Next for Everest: Mikkel ends with a discussion about Everest's future, emphasizing scalability and the need to recognize new patterns. Connecting with Mikkel: Listeners can write directly to Mikkel to connect: [email protected] This summary provides an expansive overview of Mikkel Steen's thoughts on the modern business environment, Everest's unique approach, and the integration of technology and human empathy to create a holistic executive support system. His insights on conscious living, scaling challenges, and human connection offer a thorough understanding of Everest's mission and future goals.

Show Notes: Crazy Wisdom Podcast with Ben Borowski, Notion Ambassador Introduction Guest: Ben Borowski, Notion Ambassador, and creator of the Notion Mastery Program. Notion Mastery Program Training & Development Trained over 2000 students, focusing on various elements of Notion. Three tiers of training: Familiarization with Notion and basic usage. Interaction with databases. Advanced user base, including linked databases and UX design. Aimed at helping small businesses. Notion Master's Journey A build-with-me journey featuring 3 levels of development: How to use pages, build components, and sample projects. Automation, buttons, and tracking journeys. Demo days, Notion team interactions, and maintaining long-term customer relationships. Balancing features and avoiding overwhelm in product development. Ambassador Community Focus on quality improvements and driving revenue. Addressing the severity of issues. Integrations with Notion Collaboration with Anthropic and Notion for interface creation. Generation of code and long-term goals. Knowledge Management Complexity Theory & Building Second Brain Study of complexity versus complicated systems. The concept of building a second brain. Ideation, capturing information, linking, and workspace architecture. Permaculture to business systems and organizational self-analysis. Technology & Change How technology changes what we capture and memorize. Distillation and expression of acronyms. Observation and experimentation. Issues and Solutions Dealing with templates and modification challenges. Addressing various parts of Notion and filling knowledge gaps. Permaculture & Nature Application of permaculture principles to business. Observational phases and chaos in access. Personal Dynamics & Workspace Design Analyzing & Building Designing in-person workspaces and organizing thoughts. Embedding brand and permaculture in business. Analyzing organizational thoughts and communication. Software & Analytics Analytics and web hook systems in Notion. Reacting within the system and handling public page sharing. Observing, monitoring, and privacy concerns in Notion. Notion Mastery Course & Reorganization Training resources, tips, and managing complexity. Stakeholder interviews and designing team spaces. Course as a library of exercises, ranging from beginner to expert, with workshops.

Intro Guest: Ivan Montoya, a LatAm Super Angel & VC. Follow him out on LinkedIN Focus areas: #fintech, #proptech, #logistics, #latinamerica, and #latamstartups. Notes Insights into the Startup Ecosystem In Latin America, traditional methods still have a place, and macro-level influences are impactful, but the atomic level of capitalism is most vital. Technology startups have to consider various factors like interest rates, product pricing, investor risk, and tax incentives. Relationship Between Investments and Startups The investment environment is dependent on both investors and founders, and the company's stage. A clear separation should exist between investors and the business, with distinctions between super passive investors and active investors. Investor Ownership and Investment Trends The investors' role in company ownership is crucial. There's a shift towards similarity in investing in private companies in Latin America. In 5 years, generalizations about Silicon Valley may change. Ecosystem and Capital Raising in LatAm Confidence levels in raising capital differ. 2nd and 3rd time investors are less rare in Silicon Valley, and the difference between LatAm and others is startup types and deep tech focus. Ambition Level and Global Opportunities Ambition levels differ across regions, but a focus exists on LatAm for global opportunities. Networking and the Role of Intros Startups have evolved from a clubby environment to a more open one, where introductions are not limited to referrals. Different backgrounds create diversity, leading to great companies, as in Silicon Valley. Investment Opportunities and Strategies The role of FOMO (Fear of Missing Out) and how it influences investment decisions. A focus on long-term prospects over quick gains. Brazilian Startups Overview of Brazilian startup landscape, which is ahead of other Latin American countries. Banks were traditionally oligopolistic; now, Central Bank drives innovation. Industry sectors include cyber security, hospitality, logistics, and social media. Latin America Trends Trends include consumer and B2B focus, and a comparison to U.S. debt/credit. Innovations in access to credit, with examples of companies like Onecarnow. Macro and Micro-Level Innovations Inertia of organizations in the U.S. compared to Latin America. Innovation in home lending and credit systems, including AI and technology in collection processes. Economy, Physics, and Psychology Economy as a mix of physics (e.g., positive cash flows, unit economics) and psychology (e.g., willingness to endure losses). Historical examples and reminiscing about market scenarios.

Introduction: Guest: Malcolm J. Collins Various professional roles including VC, PE, CEO, 5x Bestselling Author, a Wall Street Journal #1 Best Selling Author, and Educator. Check out his and Simone's podcast BasedCamp Main Topics: Elite Couples and Breeding Philosophy Malcolm and Simone referenced as an elite couple in the Telegraph. Discussion on breeding to save mankind. Interesting Thoughts and Negative Utilitarianism Query about what has been interesting in the last 3 days. Exploration of negative utilitarianism and creating negativity. Examination of pro-natalist and anti-natalist movements, including arguments and logical flaws. Demographics and Fertility Declining fertility rates in Central and South America, East Asia. Exploration of arguments related to environment, emotion, and logical flaws. Examination of governance, moral culpability, and agency. Ethics and Moral Questions Debate about the right to agency, moral cost, and value judgments. Discussion of scenarios including the Claymore argument. Debate over loss of fertility, agency discounting, and racism accusations. Fertility and Economy Insight into fertility rates and its effect on economies. Case studies include Israel, Hungary, China, and Africa. Examination of political implications including cash handouts and border control. Cultural Perspectives and Fertility Relationship between hope and fertility, reverse fertility collapse. Examination of consciousness revolution in China and Israel. Discussion of religiosity, heritability, and political alignments. Genetics, Culture, and Politics Connection between genetics, culture, and politics. Discussion of cultural implications, demographic collapse, network state, and cultural extinction. Survivability and Progressive Conception Relationship between culture and survivability. Examination of cultural values, intelligence, influence, and modernism. Insights into cultural alliances, education, and pluralism. History, Diversity, and Cultural Solutions Discussion of historical perspectives including the downfall of the Roman Empire. Exploration of diversity, progressive iterations, and parasitic groups. Proposed solutions including intentional cultural creation. Books and Final Thoughts Mention of literature including The Great Courses series. Closing thoughts on geopolitics, cultural groups, and experiments. Final Thoughts: This podcast episode dives deep into a multitude of complex subjects ranging from negative utilitarianism to modern cultural paradigms. The conversation moves through philosophies of life, morality, fertility, politics, and history, blending ideas to create a rich tapestry of thoughts. The vast array of topics seems to circle around a central theme of understanding the human condition, cultural evolution, and possible paths forward.

Crazy Wisdom Show Notes: Episode Guest: Jonah Messinger, PhD student of physics at Cambridge and writer for The Breakthrough Institute (check out his article here) Topics Covered: Fusion Developments: Recent developments in the fusion sector. The last 3-4 years have seen significant investment in plasma-based fusion technology from private startups, amounting to around 5 billion dollars. Low Energy Nuclear Reactions (LENR): An overview of LENR or cold fusion, a sector of nuclear physics that has been castigated for 30 years but is now undergoing a resurgence. Jonah is part of an MIT research team awarded an ARPA-E research grant in this field. Physics Fundamentals: Explanation of plasma-based fusion and how it differs from LENR. Discussion includes protons, neutrons, and electrons, the strong nuclear force, and the relationship between mass and energy. Controversies around Cold Fusion: Delving into why cold fusion is considered heretical, including its inconsistencies with conventional theories and unexpected reaction pathways. Jonah outlines why despite its challenges, it still holds potential. In-depth Look at Cold Fusion Experiments: Discussion on various cold fusion experiments, highlighting experiments with unambiguous results. Jonah recalls his entrance into the field after reading a Nature article in February 2022 and how it influenced his research. Radiation and Cold Fusion: Conversation about nuclear energy outputs with chemical inputs, the theoretical framework of LENR, and how one can potentially engineer nuclear pathways. A discussion on radiation types and the relative low radiation of cold fusion also unfolds. Quantum Coherence and Fusion: Exploration of the role of quantum coherence in LENR, with reference to a quote challenging traditional assumptions about nuclear interactions. Commercialization and Future of LENR: Discussing the potential future of LENR commercialization, using the transistor's history as an analogy. Jonah emphasizes the importance of more people and resources coming into the field for LENR's progress. Additional References: Jonah Messinger's article on The Breakthrough Institute: https://thebreakthrough.org/issues/energy/fusion-runs-hot-and-cold Jonah Messinger's Twitter: People Mentioned: Fleischman and Ponns, prominent researchers in the field of cold fusion.

Crazy Wisdom Show Notes Guest: Rick Nucci Key Themes: The importance and business problems solved by Knowledge Management (KM). The role of AI in transforming Knowledge Management. Startup challenges, employee engagement, and leadership advice in times of rapid change. Summary: In this episode, we're joined by Rick Nucci, CEO of Guru, to delve into the field of Knowledge Management and how it's being transformed by AI. Rick shares his entrepreneurial journey and the critical business problems that Guru is designed to solve. We dive deep into the metrics around employee efficiency, the importance of transparency, and the role of AI in knowledge management. Rick also shares valuable insights for startup founders and CEOs on keeping teams engaged and aligned amidst rapid changes. Key Discussion Points: Knowledge Management (KM) is critical for improving business efficiency and customer experience. It aids in quickly disseminating necessary information to employees and aligning communication to customers. The value of metrics in evaluating the success of KM and getting buy-in from the company. The importance of understanding the pains of both employees and subject matter experts to avoid burnout and enhance efficiency. Knowledge Management helps in scaling businesses without compromising on learning and customer relationships. Change within organizations is inevitable and often difficult, but it offers valuable inflection points. Timely, transparent, and even messy communication can aid in managing this change. The pandemic has increased the importance of asynchronous communication, thus boosting the need for KM. The transformation of KM by AI is promising. Large Language Models (LLMs) can play a vital role in making information retrieval efficient, but it's crucial to establish trust in AI and ensure accuracy. A "Single Source of Truth" is impractical to achieve by storing all knowledge in one place. Instead, it's about providing employees with a unified place of access to accurate, cross-functional knowledge. Notable Quotes: "It's not about having all knowledge in one place, it's about giving employees one place they go to know what they need to do their job." "Lean into change. People value timeliness and transparency much more than they do polish." "Knowledge is power, but it's the transparency and sharing of knowledge that has exponential value." Resources: Guru's website: Getguru.com Call to Action: Explore more about the transformation of Knowledge Management with AI at Getguru.com and find out how their solutions can aid your business efficiency and customer experience. Post Podcast Reflection: Rick Nucci offers a fresh perspective on the field of Knowledge Management and the intersection of AI. His insights on business efficiency, leadership, and managing change are particularly valuable in today's rapidly evolving business landscape. Be sure to tune in for this engaging conversation!

Introduction In this exciting episode of the Crazy Wisdom podcast, we are joined by Tim Wood Powell, an innovator, catalyst, author, and speaker whose motto is "Let's make our Knowledge work!" Tim is the founder of the Knowledge Agency and author of the book The Value of Knowledge. This episode is packed with insightful discussions around the realm of knowledge, its role and value in business, and the challenging aspects of measuring intangibles. Notes Understanding Knowledge The discussion kicks off by probing the question, 'What is knowledge?' An intangible asset with no weight, its definition and measure become particularly complex in a business setting. Tim explores his insights from his experience in the music business and recounts a copyright dispute over a song. The Benefits and Challenges of Knowledge Tim shares his views on how knowledge benefits us by bringing in perspectives from psychology and philosophy. But in the business world, where there's a constant pursuit to measure the immeasurable, knowledge can be a conundrum. The current accounting systems are designed to measure tangible assets, but they fall short when it comes to intangibles. This poses challenges, especially in today's knowledge-driven work environment. Tangible to Intangible: The Journey With real-world examples, Tim illustrates how we've moved from tangible to intangible assets and discusses their role in creating business value. From IP sales of bankrupt companies to branding strategies for products like tobacco, Tim provides insightful commentary on the value and paradox of intangibles. Knowledge and Business Performance Tim delves into how companies must create their own metrics to assess intangibles despite existing accounting systems. He speaks about the role of knowledge in buffering business risks, managing uncertainty, and aiding decision-making processes. He discusses the importance of decision-making in a world that is increasingly algorithmic. The Role and Value of Knowledge Management (KM) Tim narrates the ups and downs of knowledge management through various business cycles. He explains the concept of 'time value of knowledge' and how the value of an asset is always changing. The conversation then moves towards understanding the value dynamics in a business and the role of KM in managing these dynamics. What do KM Workers do? The discussion then shifts towards understanding the role of KM workers and the challenges they face. He talks about the shift from information search to knowledge resources management and the difficulties faced due to lack of standardization and resources. He also gives insights into how KM can help organizations deal with uncertainty and manage complexity. Technologies for Sharing Information Tim discusses the benefits and challenges of technologies used for sharing information. He talks about issues related to governance, the importance of standardization, and the role of network and relationships in implementing technologies. Findability on Enterprise Search Towards the end, Tim shares his experiences as a client and how the needs of users have evolved due to Google. He stresses the importance of knowing what resources are available and what are needed, and how generative AI might help in the future. Websites/Books Mentioned Tim Wood Powell's Website The Value of Knowledge High Tech Marketing Machine Knowledge Value Chain Team of Teams book People Mentioned Fritz Maclow Professor Sid Winter Don't forget to check out Tim's book and his work at the Knowledge Agency to delve deeper into the fascinating world of knowledge management and business strategy!

Episode Introduction: Welcome to another insightful episode of Crazy Wisdom, where we delve into fascinating discussions around philosophy, technology, and everything in between. Today, we are delighted to host Saman Farid, a visionary who is working on an ambitious project of supplying the world with a robot workforce through his company, Formic. In this episode, we navigate through a range of topics from the evolution of societies to robotics, AI, industrial revolutions, and the changing face of human labor. Show Notes: Formic's Foundation: Formic, named after the Latin word for ants, is a reflection of Saman's philosophy of collective efficiency and productivity. Influence of Literature: Saman drew parallels between Formic's mission and elements from Orson Scott Card's "Ender's Game" which is where the name Formic is drawn from Human Progress & AI: The conversation delves into the history of human progress and the implications of AI, drawing from phases like the Paleolithic era, agricultural and industrial revolutions, to the current digital age. Labor Shifts: Saman touches on the shift from manpower-heavy jobs to more digital and AI-related roles. He addresses the fear surrounding job loss and the need to fill undesired roles through robotics. Revitalizing Manufacturing: Discusses the potential resurgence of manufacturing through advanced technology like GPT and robotics. Challenges of Robotics Adoption: Saman shares insights on the low adoption rate of robotics in factories and the hurdles that prevent companies from leveraging this technology. Role of Robotics: Details the functionalities of the robots being built at Formic, including tasks such as palletizing, inspection, and machine welding. Redefining Labor & Purpose: The conversation explores the moral and societal implications of automating repetitive jobs and how it might impact individuals' sense of purpose and identity. Individual and Collective Purpose: Saman discusses the dichotomy between individual and collective purposes, arguing for a balance of individuality and unity. Motivations behind Formic: The journey and vision behind Formic, from the excitement of building something new to the satisfaction of seeing the products in use. Humanity and Tool Use: The conversation examines the idea of humans as tool users and the role of technology in shaping human identity and experience. Fears and Hopes for the Future: The dialogue closes with Saman's thoughts on future shifts in societal perspectives, changes in labor dynamics, and the role of engineers in creating utopian futures. Media Mentioned: Bloomberg Article: "The US is building factories, but who will work there?" Book: "Project Hail Mary" by Andy Weir. Company Website: Formic Saman's Twitter

Introduction Welcome to this deep dive into the world of Large Language Models (LLMs) and vector databases for the Crazy Wisdom Podcast. Our guest today is Eden Marco (follow him on Twitter), a Customer Engineer at Google Cloud and a best-selling Udemy instructor with a passion for General Artificial Intelligence (GenAI). In this episode, we unpack the complexities and intricacies of LLMs, explore the role of vector databases, and discuss the future of autonomous agents and machine learning. Key Discussion Points Vector Databases & Similarity Search: Vectors play a critical role in similarity searches, a common use case in vector databases. These databases are pivotal in developing LLMs and help in getting the right context to prompts. They are also used to truncate long pieces of text into paragraphs for vector outputs. Understanding LLMs and Context: How does an LLM answer questions about things it hasn't been trained on? The answer lies in in-context learning. We delve into the main problems LLMs face in understanding context and the role of vector stores in this process. LLMs and Long Term Memory: We discuss the concept of coreference resolution in LLMs, the issue of growing queries due to token limitations, and techniques to handle these challenges. Eden explains the human-like behavior of LLMs and how autonomous agents interact with other agents using memory as context. Prompt Engineering & Autnomous Agents: What is sophisticated prompt engineering? It's the art of getting the LLM to do what you want. We explore autonomous agents with Langchain, the process of augmenting prompts, and the growing importance of prompt engineering. Human Simulation & Machine Learning: Despite advancements, a real human simulation remains distant. We touch upon the statistical nature of machines and humans and discuss whether machine learning could be considered a parasite in the digital ecosystem. Twitter API & Coding: We discuss the implications and challenges of using Twitter's API for scraping tweets, and how coding can be used to overcome limitations and navigate permissions. Chroma - A Vector Database: An introduction to Chroma, a vector database that facilitates in-context learning and filtering. Eden sheds light on the competitive vector database market, the benefits of using managed servers, and the potential of combining vector databases with relational ones for enhanced utility. Long Term Memory and Scaling Databases: We discuss the potential of using vector databases for long term memories, the importance of cataloging memories, and the ease of scaling databases with cloud services. People to Follow: Hari Sanchez, co-founder, and creator of the Langchain framework, is a must-follow for anyone interested in long-term memory and LLMs. The Gap in Machine Learning: We wrap up the discussion with insights into how the gap between machine learning programmers, data scientists, and PhDs has been bridged, and the potential future of open-source models in the face of state-of-the-art LLMs. Websites & Resources Mentioned Chain of Thought Paper: A resource that describes how LLMs think. Eden Marco's Udemy Class: A comprehensive course by Eden Marco on GenAI. Langchain by Hari Sanchez: A groundbreaking framework for autonomous agents. Eden Marco's Twitter Profile: Stay updated with Eden's latest insights and work.

Show Notes In this episode of the Crazy Wisdom podcast, we are joined by Tem Nugmanov, the founder of the first-ever Notion consultancy Optemization. This enlightening discussion covers a broad array of topics, from how our lives are defined by the tools we use to the changing landscape of knowledge management. Key Discussion Points Tem's journey from moving to NYC in 2015 to study at NYU to becoming an entrepreneur and starting his fitness technology business, focusing on data optimization for weightlifting. His knack for discovering and figuring out productivity tools such as Trello, Asana, Flow, Slack, and Zapier, which led to him becoming known as the guy who "does the API." Tem's fascination with Notion since the release of its 2.0 product in 2018, which he believes puts everything into one space. He talks about the steep learning curve with Notion and how the aesthetic satisfaction from using it keeps users hooked. The rise of Notion within startups and how it replaced traditional tools by offering a simplified and unified workspace. Tem discusses his experiences hosting Notion events and migrating Confluence workspaces to Notion. The relationship between form and function in knowledge management, and how tools like Notion, Coda, and Almanic are revolutionizing the industry by making it more conducive to knowledge sharing. The transition from personal knowledge management to enterprise knowledge management, with different rules, permissions, and sharing methods. The impact of AI on knowledge management and the possibility of a new category emerging within the field. The different aspects of knowledge management, including project management and asynchronous work. Tem discusses his views on the subject, particularly disagreeing with the notion that knowledge management is solely about asynchronous work. The core concept of hierarchy within knowledge management, where beliefs about how things are done need to be nurtured and maintained. He talks about the tension between people and processes and the need for checks and balances within an organization. The challenges faced when incorporating asynchronous work into a remote workflow. Tem shares his experiences working with a startup and their struggle to redefine their remote workflow. The future vision for his Notion consultancy, which involves workspace design, workspace automation, project management, and goal management. He dreams of creating a "big four consultancy" for Notion and code. Listen to the full episode to hear all this and much more. Don't miss this insightful conversation with Tem Nugmanov, as he shares his crazy wisdom and his unique insights into the world of productivity tools, knowledge management, and the future of work.

Show Notes for the Crazy Wisdom Podcast Guest: Jared Zhao, CEO of AskEdith (https://www.askedith.ai/) Conversation: Introduction to AskEdith: Explanation of the search-driven analytics tool that enables users to access data in plain language Targeted at non-technical users Background: Jared's previous work in creating a visual editor for a data warehouse and training non-technical users Evolution of AskEdith: The journey so far and how it's still in its early stages The influence of startup circles and the emergence of large language models (LLMs) like ChatGPT from OpenAI The potential for swapping out the underlying core technology The role of English to SQL translations Future of AskEdith and Industry Insights: Thoughts on the future of core IP and the impact of open source Understanding the inference structure and use of APIs Discussion on the current competitive advantage of OpenAI The litmus test for whether we are in a technological singularity and its definition Unique aspects of the data industry, including the inability to host data Technical Aspects of AskEdith: The balance between search functionality, security, and compliance The use of a terraform module for one-click deployment into private clouds Insights into database and networking configuration AI and Society: The implications of AI on philosophy and its potential as a "silver bullet" The difference between AI replacing tasks versus jobs The historical context of automation and the Roman Empire's approach to universal basic income The potential need for universal business income today Whether AI will lead to deflation and thoughts on the economics of AI AI in Practice: The role of AI in replacing resources like Stack Overflow Challenges faced by AI in writing innovative code and the current capabilities of GPT-4 The potential for AI to predict the future and become an expert in a field The use of external data and consumer trends for benchmarking The Future of AskEdith: The vision of AskEdith as a mission control for enterprises The role of AskEdith as a search layer

Introduction Jae Yang, the founder of Tacen, a decentralized exchange, discusses his first hire as an archivist for the company and how this unique approach to knowledge management has helped them navigate the complex world of crypto startups. Tacen's commitment to thorough documentation and keeping a permanent record of every decision made is a testament to their belief in transparency and accessibility. Topics Covered Knowledge Management and the Role of an Archivist Jae shares how his experience at various startups led him to the role of an archivist, a guardian of a company's history and knowledge, differentiating it from a librarian who curates and organizes knowledge. The importance of meeting notes and how AI is utilized in their decision support process. The evolution of their team, starting as the 3rd person on board, to now 26 members. The process of making knowledge visible across the company and its challenges. Explains their unique classification system for information security that ranges from '00' for public data to '04' for secret data. Tools Used for Knowledge Management The use of internal wikis and Urbit, a suite of software tools that provides good infrastructure level support. Transition from Notion to WikiJS for self-hosting, and the reason behind the move. The capabilities of Urbit in knowledge management, including indexing textual content and its limitations like the absence of a textual management system like Obsidian. Urbit vs Obsidian The comparison between Urbit and Obsidian, which has features like bi-directional tagging and infinite discoverability. Events Discussion of "Reassembly 2023," a conference hosted by Tacen in Cheyenne, Wyoming from August 16-18th. Company Location and Cryptocurrency Law Explanation of why Tacen was established in Wyoming, citing factors such as crypto-friendly laws like the Wyoming DAO Law, zero corporate tax, and good internet infrastructure. Comparisons to South Dakota's innovative banking regulations and credit card processing. Brazil and Cryptocurrency The situation of cryptocurrency in Brazil, including its integration in daily life with apps and its role in circumventing high inflation and tax burdens. Brief mention of cryptocurrency's role in Argentina (note: segment about stablecoins was cut out). World View and Social Change Jae's thoughts on the rapidly changing world, the social changes since the 1970s, and the impact of technology. Discussion on the falling birth rates, changing attitudes to personal rights, and the further atomization of society. His view of the internet as a powerful tool that can lead to both individual empowerment and the spread of harmful agendas. Banks and Access to Finance Concern over banks preventing people from accessing their accounts for ideological reasons. Cheyenne and Tech Startups The vibrant tech startup scene in Cheyenne and its nearby University town, Laramie. About Tacen Tacen's early struggles with information overload and automatic deletion of data on Notion, leading to a change in their documentation strategy.

Robert DT on twitter: @DeeperThrill Doctorate on biomedical engineering with a focus on AI Entrepreneur building biomedical systems with AI specifically; medical imaging The conversation centers on the role of artificial intelligence (AI) in medical imaging, with an emphasis on computer vision and the utilization of existing imaging algorithms. Transformers, a type of deep learning model, are discussed for their unique self-attention mechanism and applications in natural language processing and computer vision. The talk pivots to data cleaning, specifically anonymization and safeguarding personal identifiers in the context of healthcare. Questions arise about data storage in healthcare facilities and the process of transferring it to the cloud. The conversation broadens to encompass AI's predictive capabilities and inherent risks, including the possibility of AI predicting third-order effects of its own interventions and concerns about excessive trust in AI predictions. The potential of AI in genetic engineering surfaces, particularly regarding CRISPR technology and nanobots. The conversation explores the benefits and risks of such advancements, including the revival of extinct plants and emergence of new diseases. Finally, the conversation shifts to societal implications of AI, including job displacement, the emergence of an attention economy, and the prospects of decentralized AI. The importance of understanding the limits of AI is underscored. Show notes We need to examine what's currently happening in the field of AI, particularly in relation to medical imaging. This involves an exploration of computer vision technologies and how pre-existing imaging algorithms are being applied. We should discuss the concept of a "transformer" in the context of artificial intelligence. A critical part of working with AI is data cleaning. This includes the process of anonymization, ensuring that we only use the person's image and not any identifiable data like their name. We must also consider the storage of this data, which is typically housed on hospital servers. Additionally, there's the question of how this data is transferred to a cloud system for further processing. Let's explore the issue of gatekeeping in the field of AI. This might involve discussing the role of clinical trials and the Institutional Review Board in ensuring ethical standards. The engineering aspect of gatekeeping also requires attention, particularly when dealing with 3D data sets for imaging. We should highlight two major changes currently happening in the field of AI. Swin Transformers represent a significant development, as they are built off the concept of transformers in AI. Let's delve into the world of language modeling and chatbots. We must also consider the potential downsides of these AI technologies. The transhumanism angle presents an interesting point of discussion, particularly in relation to the next generation of technology. For example, the development of the mRNA vaccine was a major leap forward in response to global health crises. There's also the concept of generative mRNA vaccines, which use AI to generate potential cures. However, these AI technologies also come with risks. They could inadvertently create a disease, or develop a cure that isn't effective. The ease with which technology can be used in this field means that virtually anyone can make implants, leading to a new set of challenges. We should also discuss the emerging role of AI in lab-based work, such as managing petri dishes. The application of Hegelian principles to AI provides an interesting philosophical perspective. Looking ahead, we might consider what a lab kit might look like in ten years. The idea of the first version of something, and its relationship to anti-authoritarianism, is another interesting topic to explore. We have to acknowledge that AI, despite its potential, will not prevent all risks. AI can be used as a predictive tool for triaging, helping to determine whether an intervention will benefit a person. The use of CRISPR technology is another relevant point of discussion, especially considering its potential downsides, its application in nanobot technology, its use in regrowing extinct plants, the potential for new diseases arising from its use, and the systematics of finding new plant species in places like the Amazon. Let's also consider the case of the dodo and the role of technology in its extinction. With a small sample size, AI can predict certain outcomes, a feature that can be beneficial in various fields. Most plant species are discovered rather than created, and AI can potentially help in predicting where these new species might be found. The question arises: is AI better at predicting the future? It can certainly help us see larger scale patterns that we aren't aware of. However, the act of predicting the future can create its own issues, akin to the Oracle of Delphi dilemma. For instance, can AI predict the third-order effects of

In this podcast episode, the host, Stewart, is talking with Zach and Matthew, co-founders of Clay, a relationship management platform. The conversation covers various topics including: The Journey to Clay: Zach and Matthew discuss their journey of conceptualizing and developing Clay. They reveal the thought process that went into creating a product that could help manage relationships without reducing them to transactional entities. Exploration of Clay: They delve into the workings of Clay, its AI assistant, and how it helps users manage their relationships. Clay has the capability to remind users of their connections, keep them updated with their social interactions, and help maintain the quality of their relationships. Concept of Attention Economy: They talk about the notion of the attention economy and how it can be detrimental to our relationships. They also discuss how Clay can help users regain control over their attention. Relationship with Nature: Stewart discusses his personal experience with his move from San Francisco to the country, and the challenges and learning experiences that came with it. He prompts the others to share their thoughts on the relationship with nature, and how it influences our relationship with ourselves. Matthew relates this to the idea of self-discovery and the inherent need for human connection with nature. Adapting to Challenges: They discuss the challenges and "curveballs" of life, especially in the startup world, and how they adapt to them. Matthew highlights the importance of having a supportive co-founder and a solid team to weather the inevitable storms. Future Plans for Clay: Zach and Matthew hint at upcoming features in Clay, including AI advancements. They invite listeners to check out the beta preview of these features on their website. At the end of the conversation, Matthew emphasizes the importance of investing time in our relationships, not only in a professional context but also personally. He suggests that this investment offers a high return and could significantly improve one's quality of life.

Bart is the founding Guru at GuruScan | International Knowledge Management speaker | Makes Knowledge driven business decisions and helps enable the customers to do https://www.linkedin.com/in/bart-guruscan/ Guruscan website https://guruscan.nl/ What is knowledge management? Knowledge is a lot more than information Information is content Knowledge is explicit and implicit knowledge Knowledge Management strategy Shell Connecting people to people, Connecting people to content Community of practice Lessons learned, what did we do and how well did we do it? Forward-looking thing: how can we integrate learning and development? Learn about where we want to go This makes me excited to be a part of KM Skills that are really hard to make explicit Fingerspettein Riding a bike, talk to someone about riding a bike Keep on pedaling, look forward, and find your balance, these are all processes that can't be taught You can’t read how to ride a bike What percentage of knowledge for business is like riding a bike? Specific use cases; a lot of research 20% is explicit and 80% is actually stuff people are doing Then not ending up in the final 95% implicit in the particular case of tacit knowledge Is the role Thousands of people; how do you communicate with them Complex environment and things are changing in Solving complex problems is when you want to get people together Prehistoric groups There was cross-group and collaboration Strangers interacting 1-2 years now for 10-15 years of experience as specialist After a while, its interesting to hear how people have feelings about whether things are wrong Intuition says something is wrong, and then finds the thing that is wrong No textbook is going to tell you what is wrong Concept is called Dunbar number, robert dunbar, British anthropologist 150 people; the people with you can have a meaningful relationship High school friends are replaced with work friends Changes over time but the limit Social grooming, what their parents are doing, what are they doing If you want to expand you are not going to be FDR had 44,000 people in The level of leadership changes, and remote work As a CEO of a 20K person company Methods for Organizational network analysis Knowledge Map of the organization Connect people with very similar of knowledge. Find people to really like to exchange with An idea is network Bart is in Amsterdam Not totally remote Gitlab as an example Remote work as asynchronous Being able to work asynchronously in productive Large organizations Monday morning you have the standup Large organizations in tons of synchronous meetings Lockdowns the whole workspace Feeling productive vs not feeling productive Status report Alignment and updating people That's the big challenge The furthest in Async first Async needs to be changed If you can’t have that meeting, what would you do? Internal organization A lot of people who make money running the organization IIf you are up to 60 or 70 people because there is no overhead If you need to arrange something you need to Staff departments at 150 Institutional Staff departments Especially, growing the company as an incentive How do you work smarter, not harder? Our department In organizations, the hard thing is to make sure that you don’t reduce complexity, If you reduce the complexity Requisite variety, adapt to all the changes that are coming from the outside of the world Balance exploration and exploitation If you don’t exploit then you don’t the money Exploration is the future of the company How much money, time, effort and people? How much money should we invest in R&D? Insane amounts of money Every company should do in more exploration Changing processes is usually not considered R&D Changing your organization to better fit future Political aspect Produce 50 or 60% of all the semiconductors Flat screens LED lights have semiconductors European Union has different regulations Huge fabrication tension of where ASML TSMC The flow of money spent on the Governed by Moore laws The number of transistors on a square meter would double every year Fit the developments into the computer chips Pentium processors went faster than Moore’s laws How many people work in semiconductors? Ultraviolet lights Collaborations Semiconductor stuff, how to do the knowledge management? Work together with SAIS, German lens company SAIS maybe made an investment in that Seimer integrating with the equiptment Global recruiment that they do Optical engineering Thats the most important thing With customers and suppliers Crash in 2009 and 2020 Apple, Intel, and Samsung Flagship model The chain is so fragile

Matt Bunday works in crypto. He loves to rock climb, martial arts, and think about underground psychedelic therapy What is the biggest problem you’ve faced with knowledge management at your companies? Slack Dropped balls in communication LLMs might be the response Why do you think slack spread so fast even though its not the best product? It was a step up from email IRC was a component More friendly for non-engineering What do you think about the complexity of slack? Twist is an alternative Why is information architecture such a challenge? How do LLMs fit into this? What would happen if slack created a LLM or plugged one in? Slack workspace plug in What is a retrieval plug in? Universal adapter for any type of data Who are the incumbents in the slack knowledge management space? Guru startup What is the difference between information management and knowledge management? Knowledge management is a higher level synthesis Information management is siloing related types of information Data types Group related to information around people What are your thoughts on the membrane? Siloes Privacy is where LLMs can be very innovative If we were to share a LLM We can both specify a privacy policy to the LLM and it will follow it LLMs can intuit the privacy public distinction Are you using LLMs to code for you? Copilot Issues with difficulty to prompt it correctly You had to write comments to prompt it Inline suggestions were not good Is it better now? Haven’t noticed a dramatic improvement Hard to prompt it to code in certain styles now GPT 4 is way better for a starting off point for projects Helpful for conversion processes What are the things that GPT4 has not been helpful for you? You have to chunk it What about building systems with GPT4? Code completion cool called tap9 Train the model against your local code What are some other things about KM that we can use tools for? Shared LLM for the family Surface serendipity between users If facebook were to do this One person says they are selling a couch One person is buying one LLM connects them At what point do we merge with the machines? Sufficiently high bandwidth Translation Are we already cyborgs? It began with wearing shoes Horselike Where do you fit in the excitement vs fear when it comes to AI? What parts of knowledge work will get automated? What are we losing? What is your take on bodywork? 10% investment Martial arts practices, he gets beat up Ninjiutsu Special forces for ninjas Healing and striking points on the body are the same Balance between healing/killing, if you know how to heal Unbroken transmission since 1400 What is the importance

Zohar Atkins He is a rabbi, philosopher, blogger and podcaster. His podcast is called Meditations With Zohar Show Notes Who is your favorite philosopher? What is non-aggressive socratic questioning? Why do you like Heidegger? How was he Nazi-ism How do you relate to the history of philosophy? How do you walk the line between tradition and being a revolutionary? What was your first experience learning for yourself instead of learning top-down? What does it feel like to have a hunger for learning? What happens when we decide we are going to learn everything and then run into the block of only having so much time? How do you relate to patience when confronting the weird language of philosophy? How do you define good communication? What is the value of incomprehensibility? How important is banging your head on the wall? Who is a philosopher that you think is a fraud? Was Jesus a philosopher? Do philosophers build truth structures? What is hagiography? What is your philosophy of technology? How is Socrates exceptional? Where do philosophy and religion meet? What happened to the public intellectual? Was Wittgenstein religious? How was Wittgenstein obsessed with language? What is your take on rationalism? What about scientism? What is the job of philosophy? Why are most people not interested in philosophy? Who is Leo Strauss? Philosophy is opposition to the state What happens when the state get too powerful and the philosophy gets crowded out? What is the dominant philosophy of the US in the 20th century? Pragmatism What was the difference between philosophy and science for ancient philosophers? How is philosophy a technology? How is UX a strain of phenomenology? What is the feedback cycle between technology and philosophy? What is the problem of induction? Aristotlean is ok with doing case studies Deductionism leads to cancelling all the case studies What defines the modern essence of technology? What happens when humans commoditize themselves? Without technology why can’t most understand leisure? How does Science doesn’t think? How did the original science people become more humble about the origins of science? How does achievement distract from the question of meaning? Why don’t you think Scientism is a big deal? How is Scientism is bad for religion? What is your take on new age occult stuff? Irrationalism sees with a squint to what rationalism is blind How can we become open to the strangeness of the universe? How can we be epistemologically humble?

AJ is a software engineer interested in Urbit and data composability. Twitter: https://twitter.com/ajlamarc https://www.ajlamarc.com/ Keep an eye out on Holium, and making it easier to code in Javascript for Urbit Notes What is data composability? Multiple applications sharing data and make the interfaces work together OpenAIs that both Twitter and Facebook had and then were shut down Data is the main product that these applications have You can separate the data and the code Personal AI How did we get to such a fragmented application landscape? Legacy internet vs New Internet? What is AJ working on? TomeDB Javascript package Associated gall agent NoSQL database The front end side is the interesting part What are gall agents? Standardized backend of Urbit Rules for moving data between different servers and accounts What are you looking for in a backend? Why are you reinventing the wheel when building a new urbit backend? What is the promise of urbit? What is the main draw of urbit? What does it mean to be permissionless? Urbit brings the best out of the past How much data is stored when you host your urbit on the cloud vs your own database? What are the technical limitations that an Uribit can store? 4-8 GBs can be stored and its stored in RAM How long until we have video streaming on Urbit? What is your take on where AI and Urbit mingle? How do you have an AI work for you rather than a big corporation? Urbit is creating a virtual world where you get only what you want and little of what you want The success of Urbit is the apple OS with the next generation of software How do you get the cost down? How do you run an urbit inside an urbit? What is the main difficulty of scale for computing on the cloud? If a million people join urbit tomorrow would it break? What is the biggest scale that Urbit has seen? 1-2K people What is the new narrative of Urbit? How do you use urbit as a really simple use case that urbit can solve to start getting urbit adoption? How do you store data and transfer it between two people in a secure way? Urbit as an infrastructure that can help build infrastructure There has to be the normal infrastructure that we are used to in terms of databases and networking Urbit is mostly a backend technology Urbit could eventually have HOON native AI Did you use crypto to pay for anything in El Salvador? What did you learn at the Volcano Summit in El Savlador? Logan’s talk on Zorp using Knock

Dave Snowden is the Chief Scientific Officer of Cynefin. Head of Knowledge Management for 30 years. Author of Cynefin - Weaving Sense-Making into the Fabric of Our World (https://tinyurl.com/4958x362) When did knowledge management start in the 90s? The ultimate disciplinary field What is intellectual capital? Intellectual property What is the anarcha book? Knowledge management is information management What is relevant knowledge? What is messy coherence? What is exaptive innovation? How do you add value to organizations? Focus What is the difference between teleological idealism and realism? What is the KM process? Find out what is keeping middle management awake at night Do not want to be a CEO pet project How do you map what a company already knows? How do you map current knowledge from the things that keep people awake at night? Where are we on the cycle now? At the early stage of the hype cycle What is complexity theory? How do you map the unknown unknowns of a company? How do you create resiliency within an organization? How do you build informal networks across the organizations? European field guide on complexity management Does getting involved with tactics take away from strategy? Trying to make the cost of virtue greater than the cost of sin? How has knowledge management changed with Covid and remote work? How do you replicate pheromones in a remote environment? What are hexis? How does knowledge transfer work? How do you make decisions that keep options open? How do you create processes that stop ambiguity? Why are stories of linear processes greatly exaggerated? How do you deal with too much information? Focus on connecting people and storing information Entangled trios with task from different groups Run that every three months Secret is not to take an information centric approached Knowledge is only ever volunteered, not conscripted We always know more than we can say and we can always say more than we can write down What is necessary ambiguity? What is the role of narrative when it connects tacit to explicit information? Narrative asks you questions that make you think differently Lessons learning rather than lessons learned 90% of knowledge is walking out the door The danger of machine learning is dumbing down how we know things THE RIGHT SOURCE DATA IS THE KEY Machine learning is inductive Feed ML better training data How did you get the role at IBM at knowledge management? Institute for knowledge management at IBM IBM center for complexity studies How do you measure knowledge management? outcome/ouput measures Fine with predictable systems Outcomes produce a perverse incentive Vector measure for intensity of effort How do you structure KPIs? What are the power dynamics of exchange? Fear of abuse is the main reason people seek knowledge in organizations Art comes before words before human language Semiotics is symbols and signs UK is the most mapped country in the world We need renaissance instead of an enlightenment What is catholic with a small c?

Adam is the VP of engineering at Invisible Technologies and active angel investment If you have specific questions, send them on to [email protected] How do you organize information and data in order to spend most of your time on high-level work? How do you manage people who report to you to also do the same? What does knowledge management mean to you? What are the applications that will leverage LLMs? What is an intranet? Transition from card catalog to Google How do you take structured things and make them unstructured? Can LLMs do unstructured data? What is tabular data? Who is going to shine when it comes to leverage LLMs? How do LLMs hallucinate? How can we prevent LLMs from hallucinating? What would happen to a law firm that has an LLM that hallucinates a contract? What happens when NYC opened up all its APIs? What is data availability? Will LLMs have big moats? (13 minutes in might be when we get too close to OpenAI) What will happen with LLama from Meta? What has been overhyped in terms of LLMs? Have you started to use Copilot in your own programming? Reference tool rather than programming aid LLM code has a higher security risk What is your take on AI ethics? How do you deal with collective commons type of stuff? How does bias training come into play? How do we think about the implicit biases that the models have been trained on? How does technology help us to understand ourselves? How is technology an amplification of human ability? What is the frustration of knowledge management for you? Bot at Facebook that goes through and warns people when something needs to be updated Finding something and its wrong How do we make sure that information stays updated and relevant What is the curse of knowledge? Onboarding is testing the system How should we think about knowledge leakage? Does Notion have an API? Keep metrics on how much people are writing What were some ways that Facebook excelled at knowledge management? Investment in search tools Code documentation Chat bot messages scale of 1-10 how do you feel What are the barriers that we have at invisible to implementing great search? What is the issue with implicit knowledge at Invisible? What is status hero? 8 or 9 engineering teams at invisible When there is high trust all processes work and when there is low trust no processes work What is the biggest problem going to be for me as knowledge management guy? How can we bring spaced repetition software into Invisible?

Kirill Zubovsky Prompt Engineer and CEO of @ SmartyNames.com What is Smartynames.com? Does Godaddy front-run domain names by buying them as soon as you search for them? They are 12 billion $ company What have you learned about Machine Learning from doing this? Did you have to learn a lot to develop on openai’s algorithm? How do you add uncertainty to your AI prompts? Why do people like to hack individual AI systems instead of hacking the big ones? What are the companies that will start to build in-house models? What is the difference between consumer and enterprise AI? What is the AI that has been used for airplane design for over 20 years now? Are we headed for utopia and dystopia? What is your take on Silicon Valley Bank? What is moral hazard and how does it play with what is going on SVB? What did Hayek say about all this? What will AI do to the decentralization of capitalism?

Pablo Peniche does front-end engineering, marketing, and design. Wears many hats at Viennahypertext Twitter: https://twitter.com/PabloPeniche https://vienna.earth/ What do Mexicans think about Central Americans? What is the relationship between urbit and vienna hypertext? What is vienna hypertext? An information network Create different canvases with blocks Why is vienna hypertext hard to build on urbit? Does engineering advance science or does science advance engineering? What is the relationship between science and engineering? What is the difference between hard sciences and soft sciences? How do you build a tool for the humanities? What effect will that have on engineering and science? What is the anti-anti-anti-anti liberalism speech from Peter Theil? https://youtu.be/fQ4rc7npiXQ What are the false idols of Scientism? What is the relationship between millenarianism and scientism cults? Why do human beings fall under homo religious rather than homo sapiens the thinking primate? Lets do space travel! Why is Elon Musk right and why is he wrong? Why should the pope declare a space crusade? What is the kardashev scale? type 1 is all the resources of one planet type 2 is another the sun type 3 is multiple stars Why do atheists believe that collecting books is the way to western enlightenment? How did Charlemagne invent the book with his codexes? How are all historians revisionists? If the news fake, imagine history? Lets talk about climate change What do the models measure? Physics of fluids Movements in the atmosphere and the oceans Can’t get quality of soil or animals dying or matter outside of that Topsoil captures carbon Can you be pro-environment and pro-immigration at the same time in terms of top-soil? Can you look at the global scale and actually change anything meaningful? How do you deal with unknown unknowns? Can computers ever discover what we don't know we don't know? How is the stock market an example of the way things are getting done? All models are incorrect but some are useful sometimes Are humans due for another ice age? Who is Freeman Dyson? What is a dyson sphere? What is the relationship between Feynmen and Freeman? Why do you specifically have the ability to question heretical answers? How is the internet the most powerful tool that humans have ever created? How is contrarianism the secular antidote to the problem knowledge? How did René Gerard decide that Christianity is the way to solve the problem of unknown unknowns and mimetic rivalry? What did Gerard say about scapegoating? How did Gerard meme himself into being Christian? Why you shouldn’t fight on the minutiae of mimetic rivalry? How do you measure carbon in the topsoil? How can we build personal biological computers? Who is John von Neumann? How did he build a machine for war? How did Liberia end up in such a different place from the US even though they have almost the same constitution?

Ivan Vendrov is AI researcher, ML engineer interested in speculation of future systems Twitter: https://twitter.com/IvanVendrov Website: https://www.vendrov.ai/ Questions discussed or for further discussions What do you think is the great X-risks humans face today? What are some weaknesses in terms of technology in general? How do you steer technology to make sure it's not developing in ways that are harmful? What is your take on spirituality? What is the intersection between the Russian Orthodox religion and meditation? What do Russian orthodox people do for lent? Go vegan for the entire month emphasis on spirituality What happened to the soviet union and orthodox Christianity? What is the word “mir”? What is the difference between a time of troubles and a dark age? Were the dark ages really dark? What is the relationship between centralization and golden ages? Who are the cypher phunks? What are heterogenous networks? What is cyborgism? What is your take on rationalism? superintelligence At its best, its a community that has the best truth orientation Where do rationalism and dogma meet? What is post-rationalism? Can you be dogmatic and rationalist at the same time? Who were the original rationalists? What is bayesian reasoning? How can you establish all the events that could happen? Naive bayesian reasoning What does rationalism say about trusting others? What are the other sources of truth for rationalists? How do you convert or create knowledge? The book “The social history of truth” Truth or knowledge depends on a bedrock of trust and punishes liars In 18th century only gentlemen could speak truth because they had “F-U” money Why does knowledge follow a cyclical pattern of openness and dogma and how do they interact? Can a bureaucracy last longer than 300 years old? Can knowledge paradigms last long? Will technology allow us to establish non-bureaucratic systems that can stay flexible? Is cultural knowledge dying? How do you preserve cultural knowledge? How do you preserve knowledge that is implicit and hard to make explicit?

Woody Wiegmann https://twitter.com/WoodyWiegmann What will AI do the ability of people who have limited intelligence and agency? What will AI do to humans who tend to create rituals for guidance on what to do? Back in the 400BC, humans were ritually inclined, to put off their questions to ritual Are there going to be business moats around AI? How do humans seem to get things wrong and that ends up being their superpower? The tribe is now occulted behind crazy complexity, what does that mean? What is the importance of status games in human relationships? What is Keynesian beauty/stock dynamics? Is there a ground truth? What is the relationship between gossip and myths for what both for tribes and meta-tribes? What is trend on vices that represent escapism? In what ways is Twitter escapism? What happens when a bureaucracy tries to intervene? What happens when bureaucracies clash with the uncertainty of the implications of AI? What is humanity going through in terms of its faith in the expert class? Where does credit go when you have low-interest rates and the government pumps trillions of monopoly money into the system? What are the negative externalities of corporations consolidating? What is the relationship between monopoly money injected into the economy and finding consensus among humans? What happens when AGI becomes the deity? What happens when the market becomes God? What is the importance of optics? Can you be authentic when concerned with optics? How does anti-trust law get it wrong? Can we have decentralized anti-trust law? How is the brain built off redundant systems? What is your take on transhumanism? Books mentioned: Seveneves: https://www.amazon.com/Seveneves-Novel-Neal-Stephenson-ebook/dp/B00LZWV8JO/ref=tmm_kin_swatch_0?_encoding=UTF8&qid=&sr= Rare Earth: https://www.amazon.com/Rare-Earth-Complex-Uncommon-Universe-ebook/dp/B00L60PP0I/ref=sr_1_1_sspa?crid=V3UGRDR27PTV&keywords=rare+earth&qid=1676913897&s=digital-text&sprefix=rare+earth%2Cdigital-text%2C185&sr=1-1-spons&psc=1&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUEySUg5NjgyRlBBQ0hJJmVuY3J5cHRlZElkPUEwNjIyOTI0MkE1QlExN0xCM1NRRyZlbmNyeXB0ZWRBZElkPUEwMDMxNjY0MTczTkU0VDdSQkpPMSZ3aWRnZXROYW1lPXNwX2F0ZiZhY3Rpb249Y2xpY2tSZWRpcmVjdCZkb05vdExvZ0NsaWNrPXRydWU=

Eric Helal Founder of Quartus a Dev shop for Urbit Apps Rabsef-bicrym on Urbit https://twitter.com/SafePen ~dalten/new-aera https://twitter.com/_dalten Are we in Utopia or dystopia or neither? What are the other options besides social dystopia? Resource constraint Wind from a dying star novel Technology stultification How does Urbit help to solve this? What does it mean to lose understanding of first principles as an individual and a society? How does technology influence us to dissociate from the first principles that the technology was built with? Will the only people who populate the network states be the autists? How will communities be restored after covid? What are the religious implications of Urbit? What are the expressions of development in Urbit vs other computer programming languages? What does the user experience in Urbit look like in 5 years? What needs to be done to make urbit something shareable with my sister? What are the use cases for distributed networked computing instead of centralized systems? Does Urbit need to be palatable to normies? What is the address space model? What is data composability? How does it relate to urbit and urbit adoption What is remote scry? What are the constraints from social conditions versus technology constraints? How does the leadership of Urbit and/or Tlon and/or Quartus ensure that it eats the legacy internet? How does content recommendation fit in of Urbit? Where is the line between limbic engagement and limbic manipulation? What is the relationship between content recommendation and reputation engines? How do permissions works on Urbit? What is sybil protection? How does urbit trivialize software writing for networking versus the legacy internet? What is canonical truth? What is decoherence between various people and truth claims? What is reputational flow? How do you build a wikipedia that is not dominated by political whims?

Adam Chavez is a Founder of Freeplay, & Mokriya. We make sense of where we’re headed as a society in a post-trust, post-2020 world. What’s up with Steve Jobs’ apparent belief in magic? Why does that matter? We also talk AI, holographic theory, the impact of ancient Abraham on America, & the Minecraft Generation. https://alkebulan.substack.com/ [email protected] https://twitter.com/anksolado What is the relation between the occult and steve jobs? What is a story of 0 to 1 in occult language? What is the difference between the performative sense and the inner self? What is freeplay, the company? What is the relationship between adrenaline junkies and spiritual emergencies? What is the difference between transactional and transformational relationships? Do you think that AI is going to increase atomization? How does the freedom that minecraft represent when it comes to kids ability to create think today? What will AI do to the bureaucratic incentives of government? What is the relationship between decentralization and AI? What is the relationship between desire for freedom and being a good employee? Why do ideologies make some people feel like they are real and others feel like are empty and meaningless? Are the problems of meaning an issue with abrahamic cultures? Why do scientists shy away from discussing the implications of quantum mechanics? What is the holographic theory?

Trent Gillham Founder of Holium ~lomder-librun on Urbit https://twitter.com/AidenSolaran What does it mean to reject and transcend triviality? What do you know about machine learning given your experience in 2018? What was it like to work at a big company like GE? What have you learned about starting a startup? What is it like to develop on urbit? How does non-attachment help us to build products but also distract us from with the masses? What is Holium? Community operating system How is the current system of the infrastructure of the internet keeping the internet a single-player game? What is the library of babel? https://libraryofbabel.info/ Where did the names of tlon and uqbar come from? Who makes sense of disparate information? What did your crisis of 2018 teach you? Does IBM have a chance when it comes to AI? How good was AI at making decisions via algorithm in 2018? What about now? How do you make moral or ethical decisions when technology rapidly advances? How do you build something that gives human communities collective power that technology is taking over? Do AI’s have moats? What did COVID teach you about how technology can actually help communities rather than hurt them or dominate them? What is special about peer to peer database networks? What is different about the crypto age, if anything, in comparison to the VC model of yesteryear? What is Holium’s ballet? What was it like for you to build hoon? What is realm? First commit of realm was April 15th How did software systems end up being bloated by contractual economics? What is unique to urbit? What is a kubernetes clusters? What do you think of the leviathan that is the federal government? What is the relationship between resiliency of legacy systems and then the pace of technological change? How do we create resilient but also adaptable systems that can handle accelerationism? How did the internet destroy cultural convergence? How far did that make it into other countries outside of urban areas? Monoculturing is almost the same thing as monocropping The Meme flood and algorithmic pharoahs What is the spirit of technique? Technological society book When does technology become technique and then become luciferian? How can you dominate technology rather than the reverse? What was the foundation of the amish? When did that happen? What is the antifragile/resilient version of utilization of technology? Technology is the means rather than the goal What happens when the legacy internet becomes an infinite generation of content? Where do magic and technology intersect?

A full-stack web developer, speaker and adviser to a small number of blockchain startups Owenbarnes.com On urbit: ~locruc-fonmec What are the foundations of privacy? What is the next big thing? Was Facebook built in PHP? Where do you see Urbit converging with cryptocurrency values? What is composability? What happened with Tornado Cash? What is a personal AI? What is the transformer paradigm? What is the apocalyptic paradigm when it comes to AI? Why is there so much fear regarding AI? Will AI ever be able to decide what is beautiful or not? What is the root of fear? What is decentralized computing? In what ways is Ethereum complimentary to Urbit? What about competition Uqbar? Why would you need the huge security guarantees that ETH represents? What do you think of the Bitcoin Maxis evaluation of ETH as censorable? What is the problem with kelvin versioning? What is the history of computing? “Mother of all demos” https://www.youtube.com/watch?v=yJDv-zdhzMY&ab_channel=Marcel Brett Victor What is the future of computing? What is the value of data? What is the future of regulation when it comes to what we are discussing? The AI that you are talking about, what is the difference between Chat GPT and that AI? Why did languages teach us so much about the transformer paradigm for AI? What will be it once we can generate apps on the fly with AI? What is the difference between content and context? How is a human similar to a shattered giant ice cube? What are the implications of the partnership between Microsoft and OpenAI? Why does the training of the algorithm cost so much power rather than just the keeping up? What happens with the live training model of AI?

Sam Frank, Writer, Investor, and Board member of the Urbit Foundation Substack: https://samfrank.substack.com/ Twitter: https://twitter.com/anecdoted Urbit ID: ~todset-partug How did you first get involved with Urbit? What is it like to be a writer in the descent of that profession brought on by the internet? What are the politics like in the new york writer's groups? What does it mean to be a rationalist? Did you see the Peter Theil takedown of the rationalist community? What was Vitalik like before he became nerd famous? What was the original DAO version versus where it is now? What does it mean to be an alien in a human body? Where do Moldbug and Nick Land converge and diverge? How does being a writer help you understand technology in ways programmers can’t? How does talking off the record play into being a writer/journalist? What is the relationship between being conservative in technology versus being conservative in other centers of contemporary power? What is the relationship between ethereum and urbit? What is urbit going to be? What was it like to get on Urbit in 2018? How does localism play into urbit? What will Urbit do to information? What will the Google be of Urbit? How will the network map be different for Urbit than it is for contemporary social media? What are the metaphysic strings that thread the current urbit network? What do you think search will be like on Urbit? How do you categorize knowledge? What about information? What is the relationship between entropy and knowledge? How does the breakdown of knowledge work differently pre-internet and post-internet? How is the speed of development different in Urbit versus the legacy internet? Are the development costs lower in Urbit vs the legacy computing world? What is the relationship between knowledge and context of knowledge? What is the difference between something that works and something that works well? Talk about how Stewart started researching random esoteric spirituality stuff on Google and got himself into a deep hole Is postmodernism an entropy of modernism? But maybe its both, parts of the world will decline under entropy and a new species gets created that enters the new age? (25 minutes in) You seem like someone who is part of both the new age esotericism and part of technology, what is that like? Why did society edit Nikola Tesla? What is the relationship between urbit and AI? Who is Rudolph Steiner? What were the influences that led to unbalanced specialization? The tradition itself is no longer valid for the increased complexity that comes from the age of acceleration Who is Norman Kahn? Book “In search of the Millenium” What is the root of the “ascension to 5D theory”? How is the brain a filtration system? How does the specialization matrix/left brain make people more fragile to the obvious acceleration we are going through? What did Charles Eisenstein say about COVID? What is it like to go to UFO convention? What is it like to be authentically weird rather than cool weird? How does rationalism end up repressing the irrational?

Stephen is working on AI dev on Near protocol and developing on Ethereum What is the NEAR blockchain? What is sharding? Increasing throughput of the transactions Breaking up the blockchain into shards so that you can get more parallelism When does ETH sharding begin? ETH sharding is based on blobs Why are you attracted to Rust? Can you use Rust on Ethereum? What is a virtual machine? Something that is interpreting bite code instead of binary Why would a blockchain need a virtual machine? Why are virtual machines more secure? What is web assembly? How do interfaces work for smart contracts? What is a blockchain? Why would someone want to have a blockchain for gaming? Why does a blockchain economize resources better than something like AWS or cloud computing? What are zero knowledge proofs? What is the relationship between zero knowledge proofs and KYC networks? What is determinism? What are your thoughts on AI right now as an AI developer? How far are we from AGI? How much has psychology or biology informed the development of AI? Has anyone formed a plan to actually get to AGI? Would gaming be a good way to create an AGI through this bootstrapping thing you mention 25 minutes in? Why is gaming AI dumbed down? Is it dumbed down because of resource efficiency? No its because you want that determism and the expected range of behaviors QA doesn’t want to deal with unexpected issues which cause bugs you can’t fix or expect How is deep learning affecting gaming developments? How is gaming affecting deep learning? Are you using copilot for developing? What is reinforcement learning? Find out how much you value decisions that lead to certain rewards What does it mean to “discount something”? Whether OPENAI is open source? What did NFT protocol did you create? What is a Markoff chain? What is a lottery smart contract? You purchase tickets with your crypto wallet The more tickets you purchase, the better chances you have for a payout How does peer reviewing work for writing solidity? What are the implications of developing on a blockchain versus a normal database? What is state when it comes to programming? How do you visualize the state of the EVM?

Deborah Simpier Co-founder & CEO of Althea Network and Gravity Bridge What does Althea network do? What is interoperability? What is the payment experience like right now? Why do telcos get monopolized? When did we start referring to people as users? Why do 29% of New York City not have access to the internet? How do you create frictionless payments? What is the relationship between stable coins and frictionless payments? What do you mean by machine to machine? Have people tried to game the system you are building? What is proof of sale? How many people are on your network? What is the radial layer? What is liquid infrastructure? What is the connectivity layer? What is ownership? Leverage Choice What is the product’s future in developing countries? What are the challenges between doing this in developed countries and developing countries? Why would someone need interoperability? What is the role of BTC is now? What are the struggles of proof of stake right now? What does it mean to run the validator on your machine? What is X86? What is PLTE? What is the intersection between ALTHEA and Urbit? When does the althea blockchain launch?

Dr. Jonathan Paprocki Jonathan is a specialist in topological quantum compiling, a Tlon engineer, you can find him on Urbit @ ~Datnut-Pollen Blog can be found at Discordia (http://datnut-pollen.discordja.net/discordja) What is a Kundalini awakening? What do old dusty books say about Kundalini? What is the relationship between Kundalini and topological quantum computers? Can everything be explained by science? How do you deal with the skepticism that other people give you that you used to give them? How much does the flow state come to you when working with quantum computers? Is it very frustrating? What did you learn about Atman after you randomly spoke Atman? Do you think in images? What do you think is the base layer reality now? When did you start studying quantum physics? Who is John Wheeler? What is the participatory universe? He talks about Quantum Bayesianism The idea is that the Universe consists of participants/observers and observations, rules on consistencies of what these interactions guarantee the relationship. What is the study of condensed matter? What is quantum field theory? What is quantum topology? A topologist can't tell the difference between a coffee mug and a donut. Who is Edward Witten, the physicist who received the Field Medal? What are your favorite cognitive hazards? How often do new age thinkers get quantum mechanics right when tying it to spirituality? How important is math to understanding quantum theory? What is quantum theory? Who are the new age mystics who do get quantum theory right? What percentage of quantum theory has to do with the Heisenberg principle? What is the difference between the laws of qualia and the laws of physics? How did you end up at Tlon? What are the differences between Holochain and Urbit? What is a distributed hash table? What is a hash chain? What is naturally inspired computation? What are the aspects of natural physics that are dependent on quantum mechanics? Who is Sam Frank from Urbit? What is the thing that convinces you to pursue incomprehensible projects to the point of comprehensibility? Is doing documentation a good way to learn programming? What is the blog that Jon is writing? What are some differences between writing software for external applications/legacy internet within Urbit versus say writing software in an imperative programming language and navigating Facebook's API? Why did IP addresses not become permanent ways to signify where the message receiver/sender is stable? What does Urbit replace about the current IP address system? What are the differences and similarities between Urbit and Holochain? What is Holochain Scepter? What is Deep Key when it comes to Holochain? How does Urbit enforce global state? What is the data availability problem of the blockchain? Why doesn't adding more blocks make the data processing faster? What is a blockchain? A way to give a clock to distributed system. What is the problem of time in distributed systems? Holochain is a way to run apps on BitTorrent basically (analogy). What percentage of email is spam? What is enforced scarcity? What is the membrane from Holochain? What are all the types of attacks in distributed systems?

Today we have Casey Rodarmor, a bitcoin developer who is working on building non-fungible tokens (NFTs) directly on the Bitcoin blockchain. NFTs are digital assets that are unique and cannot be exchanged for other assets. They have become popular on Ethereum, but have not yet been implemented on the Bitcoin blockchain. Casey is working on a protocol that will allow NFTs to be natively held in a Bitcoin wallet and transferred using Bitcoin transactions. He believes that NFTs have the potential to be a powerful tool for artists and creators to sell and authenticate their work. Here are some other questions we cover: Where does the name Rodarmor come from? What does it mean to build NFT on the BTC blockchain? Where was the first NFT built on? NameCoin Built for domain names What was the first popular NFT built on? Counterparty ETH was where they took off Why doesn’t Bitcoin have its own NFT yet? Why aren’t satoshis currently transferable individually? Why did you give a satoshi a unique identifier? Do you need a separate bitcoin public key to use these NFTs? Not the case that most BTC wallets have a single public key Why do bitcoin maxis have such strong membranes for keeping stuff they don’t like out of bitcoin? So it matters that people have to adopt the protocol you are using? Do they still point to IPFS? What does it take to change the bitcoin protocol? These are very controversial Why doesn’t Bitcoin have a formal process for accepting changes? Why are democracies so easy to game? What is a system that isn’t easy to game? What is competitive governance? Why is Singapore a good example of competitive governance? Why is it so relevant to have the federal government take income taxes rather than state governments? What do you think of competitive governance within Western Hemisphere? Who is Patri Freidman? What is the history of the Friedman family (of the Milton clan)? Would a nuclear-powered thorium reactor help the seasteading movement? What is the limiting feature of seasteading? What are bitcoin transactions? What are unspent transaction outputs? Why is bitcoin not a triple-entry bookkeeping system? What is the difference between ledgers and bitcoin? What is the difference between a global and local accounting systems? Will individuals use BTC as money? Where does USDC issue stable coin?

Kenny Rowe is the founder of the Dalten Collective (~sicdev-pilnup), in a previous life he was on the founding team of MakerDAO What is the dalten collective? Collectively own an urbit start together What is a node? What is peer discovery? What is governance when it comes to Urbit? What can you do with a star on Urbit? What is the relationship between Urbit and DAOs? How do groups do sense-making? What is better for sense-making: an individual or the collective? What are the three values for the dalten collective? How many people are in the dalten collective? What is Qurtus when it comes to the dalten collective? What are the differences between software development in Urbit vs the rest of the ecosystem? Dev ops is easier There is a learning curve Runes and ASQII characters are important What is the importance of communication for project management? When do we get to the magical point of really easy software development? What does it mean to be a functional programming language? What is the highest scale has Urbit got to? Ubit network explorer Low 10,0000s What is the thing about exponentials? Does anyone at the FED have any idea of what MakerDAO is? What is the relationship between finance and actualization? Is MakerDAO a eurodollar system? Is Urbit out of the womb yet? What was your first memory of discovering the internet? What is the difference between a functional and performative server? What was the history of computing in the 40s? What is computation? How do you bootstrap a personal server? What do you learn by building a personal server that gives you an idea of what you can do? Are we already in the feudal system when it comes to Facebook owning all our individual data? How do identity politics make the world really clear? What are the tools you need for sense-making? Why do bitcoin maxis immediately think that Urbit is a blockchain when you try to bring it up? How do smart contracts fit into urbit? What is the synthesis between smart contracts and urbit? Where does sense-making within small groups fit into the patchwork age (PaulPublisher on Twitter)? Where do loners fit into sense-making? What is the relationship between the internet archives and urbit? How does urbit prevent shadow updates from centralized media? Will urbit absorb the legacy internet? What does it mean to have a digital CPU? What do you think happens to Amazon cloud in the urbit land? Cable television is a good idea of decentralization How does Moore’s law extrapolate into other areas outside of transistors? What is a functional definition of computation? Why did computers take over the world in 1940s? What is the relationship between computers and war? What is a babbage machine? Why is 0 and 1 is the easiest way to do computation?

Aaron Lowry (https://twitter.com/Aaron_Lowry) Why are you interested in Cardano? Why didn’t you switch to ETH and stay with Classic? What are the main challenges to build decentralized systems? With functional governance? How does verifiability contribute to more challenging programming issues? What was the Ethereum schism between classic and ETH? With the unilateral move to create a new ETH chain we see the first centralization Cardano is centralized in explicit ways through the initial token sale, the corporate structure, and the nodes It starts out centralized but they have a roadmap to get to centralization What are the differences between a proof of work Bitcoin and a proof of stake system? What does a smart contract system need that bitcoin doesn’t? What happened when ETH moved to proof of stake? Why is energy so fundamental to utility? What is the market cap of Cardano? What are the compromises of ETH? What is slashing? How fast is Cardano? What are stake pools? What is trust minimization? Why is it so integral to a blockchain? Does Cardano validate things locally? Will AI make it easier to host hardware servers? What limits peer-to-peer networks? The market seems to always go towards convenience, which compromises so many things. What are those compromises? Can you argue with physics? How long does delusion traditionally outlast sanity? How do you build something that lasts when structurally the incentive is to build something that doesn’t? What is the difference between accountability and scapegoating? How can you reality-check with others while there are contradictions embedded within communication?

Noah Kumin Editor In Chief of the Mars Review of Books, publish at machinewar.substack.com ~librex-dozryc on Urbit What is the mars review of books? What is the relationship between collapse and urbit? How did you get involved with Urbit? What are the downsides of having everything become easily accessible? Do you think that Urbit will take all the good parts of the old web but keep the beauty of decentralization? What are the data storage aspects of urbit? Why is it confusing when people say Urbit is like your own computer? Why were computers originally people instead of machines? Will Mars Review of Books get into hosting planets or is it already do it? What is the relationship between Tirrell and Mars Reviews of Books? What is eternal September? The only people who were getting What would a university look like for Urbit? Why is it that when people learn norms, things become boring for divergent people? How did Scientism creep into the Silicon Valley industry, and how did that affect the current online networks? In what ways is the development of Urbit centralized like Ethereum development is? Urbit’s value is that there is no spam whatsoever What is the future of print in the age of post-internetism? Print allows for blockchain like verifiiability A bit of something like a vinyl trend for print books What is the future of serious literature in the age of internet? What is the diversion value of VR-porn? How about Nuclear Fusion? Can man live on VR-porn alone? If you don’t give a young kid a smartphone are you weakening their virtual immune system? What does it mean to outsource your intelligence to the crowd? Why is that becoming an insider in a fragile society requires so much BS?

This episode was meant to fulfill a personal curiosity of mine about CNC routers for wood working and how they are changing a very old skill. I wanted to see how it fit into my thesis of decentralized manufacturing and how it relates to additive manufacturing. It gets a little technical so you will like this episode if you already have some knowledge about building physical things. Here are some questions we cover: What is CNC? What is a CNC router? WHat is the difference between making and designing things for CNC routers? What is a tool pathing? What are the applications for CNC routing? What is high density urethane? How did you get into CNC routing? What are your favorite materials? What is slat wall? Steve Heckathorn Owner operator of NC3 Fab (https://www.facebook.com/NC3Fabrications)

Nicholas Faulkner chemistry and physics teacher, former nuclear engineer, author of the upcoming book “Angelic Physics” How do you ascend to the next level of consciousness? What does it feel like to have an out of body experience? What are your thoughts on the future of nuclear power? What are the physics of nuclear power? How long will it take to feel the benefits of nuclear power if we start building massively? What is the waste of solar versus the waste of nuclear? What is the deal with getting uranium from seawater? Why does uranium float in seawater? How is uranium traditionally harvested? Two isotopes (235 and 238) of uranium What does it feel like to have a different path? What is autism from an energetic framework? What is the relationship between being autistic and recognizing vibes? What is it like to live in an angel producing simulation? What is the relationship between quantum mechanics and nuclear physics? How many people are hypnotized? What is the relationship between certainty and the simulation? What is a miracle? What percentage of people who are being trained to be angels? 1.7% What is the nature of the leap that the planet is in right now? What is the relationship between quantum mechanics and karme? What is the angelic roller coaster? What does it mean to have your soul evolve? What is the relationship between THC and conspiracy theory? Do you think we are headed for a bifurcation of humanity into two species? What is the definition of an angel? Is a starseed actually angels? What does it feel like to be touched by an angel? What are the two teams of the simulation? What is a good way to describe the demonic? What does it feel like to have inability to tell truth from falsehood? What is the timeline for the next couple years for nuclear power? Is nuclear power the way to colonize mars?

What type of additive manufacturing machines does the company you work for have? What is the role of proprietary legal stuff when it comes to additive manufacturing? What is an EOS machine? Has Germany always been an additive manufacturer superpower? Is China taking over from them? What is a service bureau? Contract manufacturing How many interactions with a client on a particular part do you usually do? 2-3 generally between when the customer needs to test it 10 builds total over 1-2 years What is the key thing for helping a customer understand the difference between designing for 3D printing versus traditional manufacturing? What is 3D printing opening up in terms of novel designs that additive manufacturing opens up? What is the famous engine fuel nozzle that 3D printing opened up? What is the difference between consumer 3D printing and custom/industrial 3D printing? How much does a 3D printing machine for industrial purposes cost? What does it mean to qualify a part? What are the machines that have more stability across different service bureaus? What is a concept laser? Bellow? These are companies that produce machines How many people work at your company? How many competitors do you have? 2-3 similar service bureaus What are all the niches for these competitors? Automotive Energy Aerospace Medical What type of employees are you using? What does a lab tech do? How big are your machines? Who specializes in larger parts that are produced by 3D printing? What are the types of geometries that are novel to 3D printing? How did you get into this? What is connector manufacturing? Do you enjoy this field? How do you work with a customer who has propriety clauses? What companies are doing the rapid prototyping for consumers? Exometry Goprodo Prodolabs How did the supply chain crisis from COVID change your business? What are your thoughts on bringing manufacturing back to the United States? The materials that you use, how much of it comes from other places in the world? What types of powders? 16 different metals Where is it manufactured? Finland What is the relationship between software and hardware when it comes to 3D printing? What is the support removal? What is AS9100?

What is it like to compete against square? What is it like to charge people to come on a podcast to interview them? Is podcasting like a press organization? When did they invent paper? What is the fundamental process behind decentralization? Is it good nor bad? Is bitcoin a money revolution or a technological innovation? What is the thesis, synthesis and anti synthesis cycle? Is the BTC volatility based on price discovery? What was the significance of the luna and celsius collapse? In 2021, everything in crypto was leveraged against itself. What is the significance of this? Is Tether actually a truly audited stablecoin? The non-transparency behind Tether actually saved it What is the difference between a financial attack and a technology attack in crypto? What is the relationship between being a savvy technologist and an economic technologist? Where does regulation come into this? Can we actually have a decentralized stablecoin? What is the importance of the fourth turning book? What is a saeculum? What is the relationship between chaos now and potential in the future? What about employment in crypto? What is the remote work part of the question? How is Twitter like a feudal lord for the internet? What is the role of the autist in this great splintering that we are going through? What layer is Stewart in? An information gold digger What is the multilayered problem that global mental health represents? Is Buddhism the first therapy? Why is the western world so inspired by materiality? Where does 3D printing fit into decentralization? What is the relationship between global narratives and being prepared for uncertainty? Is it the main driver behind the seeking of global narratives?