Good Stuff Podcast

The Good Stuff, with Pete and Andy - Episode 9: Tools, Tools, Tools Hosts: Pete and Andy (with bonus ambient drum and bass from a nearby camper van) We dive deep into the practical tools we're using for AI development, exploring the difference between AI as tools versus human-at-the-edge workflows, and discussing the technical complexity of building local AI systems. Key Discussion Points: The Cold Open: Screen Time and Digital Minimalism (00:00-05:52)** Pattern Matching vs. Reasoning in AI (07:00-17:20) Apple's recent paper questioning whether LLMs truly "reason" or just do sophisticated pattern matchingHow thinking models workThe relationship between human thought and AI pattern matchingHow AI systems handle novel problems and the role of entropy AI Tools in Practice (18:50-32:00) Why Cursor has gained such traction compared to alternativesThe importance of context management and local file accessPete's experience with OpenAI's Codex vs. local tools like Cline and CursorThe dopamine feedback loops that make certain tools more engaging Local vs. Cloud AI Systems (30:00-40:00) The benefits of running AI systems locally rather than in web appsAvoiding the complexity of SaaSHow local processing leverages your computer's existing power and storageThe privacy advantages of keeping personal data on your own machine Memory and Knowledge Graphs (38:52-50:00) The limitations of basic RAG (Retrieval Augmented Generation) systemsIntroduction to graph RAG systems that provide richer contextHow Stakwork uses self-improving graph databases for better AI performanceThe importance of solving the "memory problem" for effective AI systemsLLMs as translation layers between human language and structured data Personal Knowledge Graphs (50:00-58:00) Pete building a personal knowledge graph systemUsing Docker containers and API interfaces for local AI developmentThe challenge of managing context across multiple AI tools and workflowsBethan's book "The Human Edge" Building AI Systems: Technical Complexity (58:00-01:10:00) How accessible it is for non-developers to build AI systems with current toolsThe "slow code" approach: treating development as a learning experienceApply Git liberally!Andy's experiments with N8N for workflow automation and content creation pipelines Workflow Automation vs. Autonomous Agents (01:16:00-01:22:00) Comparing deterministic workflows to autonomous agentsWhy most business tasks are better suited to static workflowsThe role of humans in AI systems: providing intent and experienceEnumeration vs. abstraction: building specific workflows rather than trying to create universal solutions Development Stack and Tools (01:13:00-01:16:00) Pete's current toolkit: Cline, Visual Studio, O3, Claude, Codex, Code, Personal Graph....Plans for a local Nostr-based ebook reader with cross-device syncingPaying for all the tools! Conspiracy Corner: Moon Mysteries and Dead Internet Theory (01:25:00-01:35:00) Discussion of moon landing anomaliesDead Internet Theory and how algorithms shape both content creation and consumptionThe decline of film qualityAI-generated content and the future of creativity Key Quotes: "The job of the LLM isn't to be everything... what LLMs are specifically good at is translating stuff into and out of human language" "The price of bullshit is also dropping to zero" "We're not here to raise low agency children!" "Everyone loves a sausage!"

The Good Stuff, with Pete and Andy - Episode 8: The Golden Age of Entrepreneurship Pete and Andy explore how AI is creating unprecedented opportunities for entrepreneurship and individual agency, examining both the positive transformations and personal risks in this transitional period. Key Discussion Points: Opening & Technical Difficulties (00:00-05:53) The boys lost their "finest podcast ever recorded" due to technical issues! Learning to Code with AI (08:40-23:40) Andy shares his journey learning to code: Moving beyond "vibe coding" to intentional learning through project-based approachUsing AI as a technical co-founder and mentor rather than just automationStructured methodology: Planning with Claude, building with Cursor, reviewing and iteratingThe importance of staying involved in the process rather than abdicating to AI The "Super Fast Waterfall" Development Process (18:50-22:00) Pete introduces the concept of AI-enabled development methodologyAI excels when given structured frameworks rather than open-ended tasks Permissionless Leverage and the Golden Age (36:40-45:20) Dramatic reduction in barriers to experimentation and starting businessesFrom needing teams, technical co-founders, and investor capital to solo executionShift from audience-of-millions to audience-of-one business models Challenging Traditional Startup Wisdom (45:20-48:40) Critique of Andreessen Horowitz founders' claim that small businesses are "meaningless" Rejection of the scale-equals-significance mentality- Benefits of lower capital requirements and venture-scale returns not being necessaryPersonal fulfillment vs. world-dominating ambitions The World of Abundance (48:40-55:00) Drawing parallels to the Industrial Revolution: AI as a deflationary force similar to mass production- The Value Trap creating financial incentives for disruption Competition eventually driving prices down and creating abundance Humans as Experience and Observers (55:00-62:20) Philosophical discussion on the human role in an AI-driven world: Humans provide the "qualia" - the conscious experience AI lacksPeople identify problems and improvements while AI handles executionRenaissance-style revival where economic abundance enables pursuit of meaningful work Personal Financial Risk in the Transition (62:20-72:00) Major concerns about individual exposure during the AI transition: 30-year mortgages as problematic in uncertain employment landscapeRising interest rate environment making debt service more expensiveThe risk of being heavily leveraged without personal runway Blue-Collar vs White-Collar Displacement (72:00-75:00) Short-term risks in traditional "safe haven" industries: White-collar displacement potentially flooding entry-level tradesImportance of finding unique personal value propositions Creating for Yourself, Not Audiences (75:00-End) Drawing from Rick Rubin's creative philosophy: The value of non-commercial creative pursuits- AI enabling leisure and space for meaningful creative workYour job becomes experiencing life and improving its sharp edges for others Key Insights: "This is a renaissance for entrepreneurs. If you're entrepreneurial minded, this is just a huge, an amazing time to be alive." "The cost of experimentation has just dropped precipitously and that is in general good for society." "Your job is to experience life and to realise where the sharp edges are and to improve them for everybody else."** Bottom Line: AI represents the greatest opportunity for individual agency and entrepreneurship in generations, but success requires intentional engagement with the technology rather than passive adoption, while carefully managing personal financial risk during the transition period.

The Good Stuff, with Pete and Andy - Episode 7: Rise of the Generalist Hosts: Pete and Andy (recording at City Beach, Perth) Episode Overview: In this episode, the hosts discuss automating their podcast production pipeline and explore how AI is changing knowledge work. They examine the impact of AI on jobs, explaining how it gradually automates tasks at a "subatomic" level rather than replacing entire roles immediately. The conversation delves into effective strategies for working with AI coding tools, the future of work, and why generalists with adaptable skills may thrive in an AI-powered economy. ------ Podcast Production Automation (00:55 - 03:35)- The hosts describe automating their podcast production workflow- Their system handles audio processing, transcription, and content generation- AI tools generate show notes, article summaries, and identify potential clips- The goal is to streamline marketing efforts without manual interventionContent Generation at Scale (03:35 - 06:07)- Discussion of how automated processes save hours of manual work- Possibility of using voice cloning technology - Creating purpose-built content for different platforms from source materialKnowledge Capture in Organizations (06:07 - 10:44)- Applying similar automation techniques to organizational knowledge management- Capturing and sharing discussions across an organization- Using knowledge graphs to store company information- Creating personalized content delivery based on preferencesAI for Problem-Solving (10:44 - 15:25)- Challenging the criticism that AI can't solve novel problems- Discussion of Pablo's "Tenex agent framework" for problem-solving (⁠

Primal

Live Free

Importance of allowing AI time to work through complex problems- Comparison to human problem-solving processes that also require trial and errorAI's Impact on Jobs (23:30 - 31:20)- Examining how AI impacts jobs at a "subatomic" task level- Discussion of why people don't see their jobs as replaceable- Second-order effects of partial job automation (consolidation, wage impacts)- Historical context of technological disruption and job displacementFuture of Work in an AI Economy (31:20 - 38:35)- Debate on what jobs might remain protected from automation- Potential government responses (regulation, UBI, job programs)- Economic impacts like tax base erosion and inflation*- The shift to generalist skills in uncertain environmentsEffective AI Coding Techniques (57:30 - 1:08:00)- Strategies for working effectively with AI coding tools- Using a sequential approach rather than one-shot generation- The importance of planning before coding- Having Claude as a "project manager" while using Cursor for implementation- Balancing speed with understanding and control "Your job isn't a whole, it's 200 sub-jobs... and any one of them is automatable already given time and tooling"

Good Stuff 04 - The Intelligent Assembly Line (audio) Pete Winn, Andy David Pete and Andy explore how AI will transform business processes through "The Intelligent Assembly Line" - breaking down complex knowledge work into smaller, automatable components. This episode examines how AI is shifting business processes from human-centered to human-at-the-edge, and having a similar impact as Henry Ford's assembly line.

# AI Business Strategy: Build vs Buy Decision Framework **Hosts:** Pete and Andy (virtually at the beach with their new cinematic backdrop) ## Core Topic Strategic decision-making in the AI era: whether to build new AI-native businesses or acquire and transform existing ones, examining capital allocation strategies and transformation approaches for different industry contexts.