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The Good Stuff

The Good Stuff

By: Other Stuff
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The Good Stuff is a low-fi dialogue with Pete Winn and Andy David. Each week, we share our everyday experiences working with artificial intelligence and how it's fundamentally changing the rules of work and business, the economy, entrepreneurship, and human potential. Expect a mix of chats out of the back of a van at the beach, walking interviews and general use of dialectic and discussion with insightful guests that lift the lid on complex topics. Chilled out, minimal jargon, authentic.Other Stuff Economics Leadership Management & Leadership
Episodes
  • 012 - In The Future Work Will Look Like Play
    Jul 2 2025

    The Good Stuff, with Pete and Andy - Episode 12: AI Myths and the Future of Work as Play

    Hosts: Pete and Andy (recorded at City Beach, Perth)

    Episode Overview: Pete and Andy explore common AI myths and misconceptions, diving deep into interface design, the productivity vs creativity paradigm, and how work might evolve to resemble play in an AI-enabled future.

    Reflections on Guest Episodes (00:00-03:20)

    • Dynamic of having guests vs. just the two hosts
    • Preference for discussion format over structured interviews
    • Organic conversation flow versus scripted content

    The "I Trained the Model" Myth (03:20-10:30)

    • Misconception between fine-tuning vs. adding context/documents
    • Most "training" is actually just attaching PDFs or system prompts
    • LLMs should handle interface, not factual recall
    • Context engineering as the superior approach over model training

    Small vs. Large Language Models (10:30-16:30)

    • The "Ferrari for grocery shopping" mentality - overusing frontier models
    • Small language models as the better choice for repetitive commercial workflows
    • Cost and speed advantages of smaller models for specific tasks
    • Modular approach: using right-sized models for different pipeline steps

    Interface Design Myths (16:30-27:30)

    • Chat as the default AI interface limiting potential
    • Need for adaptive interfaces suited to different working styles
    • Microservices architecture finally becoming economically viable with AI
    • Moving beyond monolithic "big model for everything" approach

    Flow State and Adaptive Interfaces (27:30-39:00)

    • Spreadsheets as example of adaptive, durable tools
    • Visual vs. text-based collaboration preferences
    • The ramp-up/ramp-down challenge when returning to complex projects
    • Multiple input/output modalities for different contexts

    Human Collaboration Patterns (39:00-48:00)

    • Engineers gravitating to whiteboards for collaboration
    • The canvas as shared workspace vs. individual thinking space
    • Voice, visual, and collaborative interfaces serving different needs
    • Balancing real-time interaction with persistent documentation

    Creativity vs. Productivity Paradigm (48:00-58:00)

    • AI as creative enabler rather than just productivity booster
    • The scary prospect of agency - having to decide what to work on
    • Embodied human experience as irreplaceable for insight generation
    • Examples from Rory Sutherland: mirrors in elevators, train comfort over speed

    The Future of Work as Play (58:00-1:08:00)

    • Moving from medieval peasant schedules to office work and back to leisure
    • Work resembling exploration and experimentation
    • The role of craft and embodied skills in an AI world
    • Victorian gentlemen as preview of future leisure class

    Error Tolerance Double Standards (1:08:00-1:14:00)

    • Unrealistic expectations for AI accuracy vs. human error rates
    • Need for same systems and processes, just faster iteration cycles
    • Human mistakes tolerated due to context; AI mistakes seen as fundamental flaws

    "It's not the job of the model to know stuff... the best way to get good factual core from these things is context engineering."

    "Why are you in a hurry? Take your time. Be really comfortable. We'll get rid of the plebs." - On reframing problems

    "The future's here, it's just not evenly distributed" - Applied to leisure and creative work

    Bottom Line: AI myths persist because people experience AI through limited interfaces and apply unrealistic error expectations. The real opportunity lies in modular, adaptive systems that enable work to become more play-like, with humans focusing on embodied creativity and meaning-making while AI handles decomposed tasks.

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    1 hr and 14 mins
  • 011 - Taste Makers and Zeitgeist in AI
    Jun 25 2025

    The Good Stuff - Episode 11 Show Notes


    Summary


    In Episode 11 of The Good Stuff podcast, hosts Pete and Andy welcome their inaugural guest, Joel Pember, brand director and co-founder of Juicebox.


    The conversation explores Joel's journey from photography to digital marketing, diving into philosophical discussions about AI's impact on creative industries, the evolving nature of brand and taste in an AI-driven world, and the future of agencies in a rapidly changing digital landscape.


    Introduction (00:00-02:00)

    Intro to our first-ever guest, Joel Pember, brand director of Juicebox

    Joel's Background in Photography (02:50-06:30)

    • Joel discusses his start as a photographer and the philosophical aspects of photo media
    • Explanation of Magnum Photographers and the artistic side of photography beyond technical skills

    AI's Impact on Photography and Creative Industries (06:30-11:00)

    • Discussion about how AI might affect artistic expression and photographic storytelling
    • Reflection on the difference between AI-generated images versus images with lived experience

    AI Ethics and Leadership (11:00-18:30)

    • Sam Altman's open letter and the weight of responsibility on AI leaders
    • Debate about governance versus innovation in AI development
    • The need for more philosophical and ethical conversations around AI


    Government Regulation vs. Organic Development (18:30-25:00)

    • Discussion about regulation of technology (social media bans for children)
    • Debate about centralized control versus free markets and bottom-up solutions
    • How younger generations will adapt to and potentially circumvent restrictions


    Economic Pressure and Social Considerations (25:00-30:40)

    • How economic pressures limit people's ability to engage with bigger questions
    • Discussion about inflation, debt, and the impact on younger generations
    • The need to question existing systems and consider alternatives

    Brand Value in an AI World (30:40-40:00)

    • The evolution of social media platforms from connection to algorithmic discovery
    • How brand value might increase in an era of AI-driven abundance
    • The role of brands as shortcuts for trust and quality

    The Nature of Taste and AI as Taste-maker (40:00-50:00)

    • Discussion about how taste is formed and whether AI can develop authentic taste
    • The role of lived experience in developing taste versus algorithmic recommendations
    • Cultural waves and how brands ride the zeitgeist

    The Future of Agencies and Customer Experience (50:00-01:02:00)

    • Joel explains how digital agencies have moved from the fringe to the center of brand strateg
    • How customer experience and technology are replacing traditional advertising
    • The role of AI in transforming how brands connect with customers


    Agency-to-Agency Interactions (01:02:00-01:15:30)

    • Exploring how AI agents might interact with each other on behalf of humans
    • Discussion about hyper-localization and the shift away from global monoculture
    • Joel's vision for Juicebox as designing meaningful connections between brands, people, and intelligent systems


    Conclusion (01:15:30-01:17:00)

    • Reflection on the conversation and plans for future episodes
    • Joking about making all future guests use the "Joel sprite" in their visualization
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    1 hr and 31 mins
  • 010 - The Death of the Sunk Cost Fallacy
    Jun 18 2025

    Show Notes: Episode 10 of "The Good Stuff"

    In this tenth episode of The Good Stuff, hosts Pete and Andy discuss how AI is transforming product development, business creation, and work.

    We explore how the falling cost of creation enables faster product-market fit testing, the future of venture capital, and the rise of multi-agent AI systems.


    Podcast Updates and Announcements (00:56-07:13)

    • The hosts celebrate reaching episode 10
    • Shout-outs to podcast supporters including Crispy, BundabergHodl, and BTCShellingPoint.
    • Mention of Bethans upcoming book "The Human Edge" about critical thinking and human skills in an AI world

    AI and the Changing Nature of Business Creation (07:13-15:17)

    • Discussion of the Presidio Bitcoin podcast (PBJ)
    • How AI is making engineering less important than product-market fit
    • The ability to rapidly test multiple ideas with minimal cost


    Product Market Fit and Personal Alignment (15:17-27:53)

    • The importance of "product-founder fit" and choosing problems you genuinely care about
    • Reduced sunk cost bias when experimenting has lower costs
    • How energy and interest in a problem are better guides than purely tactical decisions
    • Scott Adams' skill stacking concept applied to the AI era


    Hyper-Localization and the Future of Business (27:53-40:00)-

    • The rise of hyper-local solutions built by people who understand specific markets
    • "Proof of punch in the mouth" the trust advantage of local businesses
    • Potential "death of B2B SaaS" as local solutions become more viable
    • How AI might transform interfaces between humans and business services

    Bitcoin, Capital, and Long-term Value Preservation (40:00-55:43)

    • Discussion of how Bitcoin fits into business strategy in an AI world
    • The "up, up, down" methodology (margin up, capital up, risk down)
    • How Bitcoin provides a way to preserve value in an uncertain future
    • The trade of the next decade: "Use AI to earn more money now and keep it in Bitcoin"

    Multi-Agent AI Systems and UI Evolution (55:43-1:15:00)

    • Experiences with Roo Code and orchestrating multiple AI agents
    • The limitations of current chat interfaces that require human direction
    • Vision for more opinionated AI agents that drive interactions forward
    • Future UI as high-agency AI that can maintain context and memory
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    1 hr and 15 mins
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