The Good Stuff, with Pete and Andy - Episode 12: AI Myths and the Future of Work as PlayHosts: 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 hostsPreference for discussion format over structured interviewsOrganic conversation flow versus scripted contentThe "I Trained the Model" Myth (03:20-10:30)Misconception between fine-tuning vs. adding context/documentsMost "training" is actually just attaching PDFs or system promptsLLMs should handle interface, not factual recallContext engineering as the superior approach over model trainingSmall vs. Large Language Models (10:30-16:30)The "Ferrari for grocery shopping" mentality - overusing frontier modelsSmall language models as the better choice for repetitive commercial workflowsCost and speed advantages of smaller models for specific tasksModular approach: using right-sized models for different pipeline stepsInterface Design Myths (16:30-27:30)Chat as the default AI interface limiting potentialNeed for adaptive interfaces suited to different working stylesMicroservices architecture finally becoming economically viable with AIMoving beyond monolithic "big model for everything" approachFlow State and Adaptive Interfaces (27:30-39:00)Spreadsheets as example of adaptive, durable toolsVisual vs. text-based collaboration preferencesThe ramp-up/ramp-down challenge when returning to complex projectsMultiple input/output modalities for different contextsHuman Collaboration Patterns (39:00-48:00)Engineers gravitating to whiteboards for collaborationThe canvas as shared workspace vs. individual thinking spaceVoice, visual, and collaborative interfaces serving different needsBalancing real-time interaction with persistent documentationCreativity vs. Productivity Paradigm (48:00-58:00)AI as creative enabler rather than just productivity boosterThe scary prospect of agency - having to decide what to work onEmbodied human experience as irreplaceable for insight generationExamples from Rory Sutherland: mirrors in elevators, train comfort over speedThe Future of Work as Play (58:00-1:08:00)Moving from medieval peasant schedules to office work and back to leisureWork resembling exploration and experimentationThe role of craft and embodied skills in an AI worldVictorian gentlemen as preview of future leisure classError Tolerance Double Standards (1:08:00-1:14:00)Unrealistic expectations for AI accuracy vs. human error ratesNeed for same systems and processes, just faster iteration cyclesHuman 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 workBottom 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.