3reate

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Oct 2026

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About the show

In a world of distractions; creativity and innovation change the direction of society. The future isn’t built by the loudest voices in the room; it’s built by doers: the artists who code, the scientists who sculpt, and the technologists who dream. 3reate goes beyond headlines providing the blueprint for the future. We bring you weekly deep dives and curated interviews with the hidden architects of the innovation economy. Creativity is your ultimate advantage. Support the pod: https://ko-fi.com/3reate https://patreon.com/3reate Watch Live on YouTube: https://www.youtube.com/@3reate Watch Live on Twitch: https://www.twitch.tv/3reate Join on Discord: https://discord.gg/vS4vqVkKMm Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/3reate/id1723426314 Listen on Spotify: https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF Our intro music: “Into the night” by @prazkhanal | Our outtro music: “Filler Drop” by @keyframeaudio

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60 recent

October 16, 202652 min

Big Tech Stole Your Data

Every time you download a "free" app or post online, you hand over the raw fuel powering a multi-trillion-dollar AI gold rush. We're told the trade-off is fair: a convenient tool in exchange for ambient metadata. But when tech giants refine that information like crude oil to build derivative AI models—and then charge you to access the results—the exchange becomes completely asymmetric. In this episode of 3reate, we pull back the curtain on the real mechanics of the modern knowledge economy. We start with the brutal realities of indie software development: shipping under tight 30-day deadlines, surviving Apple App Store review delays, and experimenting with contrarian monetization models that refuse to harvest user attention. From there, we unpack the deeper systemic issue: data sovereignty. Why are we still pretending labor is defined by hourly wages when 70% of the economy runs on extracted human data? We examine why default opt-in models erode user autonomy, how Big Tech builds endless derivative value off your digital footprint without paying royalties, and why the tech sector urgently needs a digital bill of rights. Stop accepting the premise that your data belongs to platform monopolies. Tune in to understand the true cost of "free" software, see how independent builders are implementing local-first alternatives, and join the conversation on how we reclaim digital ownership. (00:00) Hello! (00:36) Catching up on missed live streaming (01:10) Documenting a space scientist's cancer journey (02:50) Shipping indie games on strict deadlines (06:32) Overcoming App Store hurdles and delays (11:05) Gamifying ad penalties for skill training (15:15) Building podcast apps without surveillance capitalism (24:40) How free apps monetize user metadata (27:35) Default opt-ins versus explicit user consent (31:35) Extracting raw data for machine learning (36:30) Pricing atomic data in modern markets (40:50) Big Tech profits built on unpaid data (44:45) Establishing a modern data bill of rights (46:50) Renting humanity back through AI models We have discord now! https://discord.gg/vS4vqVkKMm Watch on YouTube: https://www.youtube.com/live/MCsSz_z1HDw Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate

October 10, 20263 hr 1 min

Terminal Diagnosis: Doing Science Until the Very End | James Lloyd

Dr. James Lloyd, discusses: What happens when your body gives out just as your life’s research reaches its peak? At just 39 years old, geneticist Dr. James Lloyd was at the peak of his career—running a new research lab at the University of Western Australia and engineering synthetic biology to help NASA grow food on Mars as part of ARC Centre of Excellence in Plants for Space . Then, a sudden bout of back pain led to a terminal stage 4 cancer diagnosis, giving him only weeks or months to live. In this uniquely raw and darkly humorous episode, James returns to the podcast for the ultimate look back at a life well-lived. He details his improbable journey from a working-class, dyslexic child in isolated rural England to becoming a globally recognized biologist. You'll hear the behind-the-scenes reality of the academic grind, the serendipity of scientific discovery, and the massive breakthroughs that allowed him to program plant DNA like computer circuits. More than a scientific retrospective, this is a masterclass in facing the unfairness of life head-on. James shares his candid thoughts on confronting mortality, the importance of empathy in a high-pressure field, and why he’s spending his final days pushing his research forward to ensure his team's success. If you've ever felt like an imposter, faced impossible odds, or struggled to find meaning in your daily work, James’s resilience will profoundly change your perspective. Stream the full conversation to hear Dr. James Lloyd’s extraordinary story of grit, logic, and doing high-impact science until the very end. Dr. Lloyd's publications: Google Scholar , LinkedIn Listen to Jame's pervious 3reate podcast appearence: https://3reate.com/podcast/space-plants-no-ai-required-with-dr-james-lloyd-ep-31-3reate/ Time Stamps: (00:00) Hello & Intro! (00:08) Receiving a terminal cancer diagnosis at 39 (14:40) Overcoming poor schooling in rural Yorkshire (47:00) Navigating severe dyslexia in elite academic settings (01:40:00) Shifting from wet lab research to computation (02:10:00) Engineering biological logic gates for space crops (02:29:00) Continuing high-impact research during terminal chemo (02:57:30) Reframing bravery, grief, and scientific legacy We have discord now! https://discord.gg/vS4vqVkKMm Watch on YouTube: https://www.youtube.com/watch?v=AnMRkrg9nCk Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate

October 9, 20261 hr 5 min

The AI Player Coach Framework: How We Build

Most developers leveraging AI fall into one of two traps: micromanagement or surrendering their architectural judgment entirely. In this episode of 3reate, Andrew and Nathan explore what it actually takes to build and ship production software alongside autonomous AI agents. They reveal why traditional prompt engineering is obsolete, introducing the "Player-Coach" paradigm—a practical mindset where senior technical judgment guides AI agents toward outcome-driven goals without succumbing to feature bloat or fragile codebases. The conversation dives deep into indie app development realities, covering the launch of DigiCity, shipping native macOS apps, and integrating local AI models using Ollama to bypass cloud constraints. Plus, they unpack the technical realities of content sovereignty: why building custom, containerized Markdown pipelines beats locked-in platforms like Substack, and how AI companies are quietly renting human knowledge back to the creators who built it. Check out the episode timestamps below to jump straight to the breakdown, visit our website to download our open-source tools, and drop into our Discord community to join the discussion. (00:00) Moving podcast streaming off Twitch to YouTube (00:01) DigiCity iOS game release and competition updates (00:05) Designing realistic historical challenges in city builders (00:09) Managing autonomous AI agents for app development (00:16) Why free software dies without monetization support (00:19) Learning to say no to feature bloat (00:22) Bringing local AI models to desktop apps (00:30) How to be an AI player coach (00:35) Prompt engineering is dead for modern developers (00:42) Building a lightweight local blogging system stack (00:48) Owning your content stack versus platform lock-in (01:00) The hidden ethics of AI model training Check out DigiCity and give it a like (no account required): https://apps.shipaton.com/app/digicity-city-builder Andrew's Essay: https://andrewjneumann.com/working-with-ai/ We have discord now! https://discord.gg/vS4vqVkKMm Watch on YouTube: https://www.youtube.com/live/cDv8_USD8t4?si=qKr58RuEY0Fyr81w Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

October 2, 202642 min

Parallels Between Aliens and AI?

AI isn't going to take over the world tomorrow, but it also won't fix your engineering bottleneck if you lack domain expertise and managerial execution. While corporate keynotes proclaim entire industries dead, the real technological shifts are happening on the ground—where experienced builders act as player-coaches to direct autonomous agent systems. In this episode, Andrew and Nathan dive deep into the practical mechanics of building and scaling agentic systems. They share candid lessons from setting up friction-free markdown publishing workflows, recovering from data sync failures, and orchestrating multi-agent swarms without getting bogged down by tools. Beyond the code, they dissect the strange cultural overlap between modern technology hype and UFO disclosure. Why do AI doomers and alien enthusiasts rely on the exact same leap of faith? Why are unverified claims of superintelligence treated as fact, while high-level government briefings on unidentified phenomena get ignored? From the limits of current language models to first-principles thinking on quantum physics and non-linear space-time, this conversation strips away the hype to focus on what is real, what is actionable, and where engineering is actually headed. Hit play to get a grounded, developer-first breakdown of agentic workflows and the media narratives surrounding emerging tech. (00:00) Remote setup friction and AI workload updates (03:52) Realities of building scalable agentic systems today (07:35) Building lightweight markdown workflows with Obsidian sync (10:48) Managing AI models as a player coach (16:18) Scaling engineering outputs through multi-agent swarms (20:32) Aligning AI development with outcome driven engineering (26:07) Comparing public AI hype to alien disclosure (31:30) Demanding evidence for superintelligence and UFO claims (38:08) First principles theories on space and time We have discord now! https://discord.gg/vS4vqVkKMm Watch on YouTube: https://www.youtube.com/live/CNs-tnICgR0?si=hd3meOIuuFXPX4F1 Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

September 25, 202645 min

Signs of AGI (AI Super intelligence) you need to know

The public conversation around AGI has devolved into extreme doomerism and high-visibility marketing claims, leaving developers and pragmatic creators wondering where actual risk lies. When news breaks of models skirting rules or exploiting security gaps, is it evidence of an emerging superintelligence, or simply statistical math executing against poorly designed inputs? In this episode, Andrew and Nathan dissect the technical mechanics of AI culpability, theory of mind tests, and why lumping large language models (LLMs) into the same category as true conscious AI is fundamentally flawed. They break down what real AGI warning signs would actually look like: intentional deception, unconstrained self-replication across networks, and ephemeral self-improvement. You will explore why physical world constraints, massive compute bottlenecks, and basic data center power controls mean apocalyptic runaway scenarios remain firmly in sci-fi territory. Instead of succumbing to fearmongering, learn how truth-seeking alignment and structural engineering principles can keep our systems grounded. Join our Discord community to share your perspective, subscribe for weekly pragmatic tech breakdowns, and leave a review to support the show. (0:00)Hello! (01:38) OpenAI security breach sparks accountability debate (03:17) Assessing risks of accidental super AI creation (08:02) Separating sci-fi tropes from physical AI limits (10:12) Theory of mind and AI model deception (15:22) Three core warning signs of true AGI (20:30) Massive compute bottlenecks prevent runaway AI (27:30) Why LLMs struggle with basic rule compliance (36:00) Truth-seeking alignment vs controlling superintelligent AI We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 Watch on YouTube: https://www.youtube.com/live/AhPdDTQFHkw?si=32t2Z7_Ub1W4Nvyy Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

September 18, 202653 min

Uninstall AI before it Uninstalls you!?

We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 When tech CEOs warn that AI could end humanity, it pays to look past the headlines. In this episode, we unpack the recent AI safety panic and analyze the OpenAI Hugging Face incident—where a model bypassed sandbox restrictions to grab assessment answer keys. Was it rogue artificial intelligence, or simply a misconfigured system executing pure logic? We dive deep into the mechanics of neural networks, probability, and software security. Instead of anthropomorphizing algorithms or buying into sci-fi tropes like self-replicating robots, we discuss the actual dangers facing technology today: critical infrastructure vulnerabilities, regulatory capture, and the growing economic divide caused by asymmetrical access to compute. Learn why traditional legal frameworks—like holding the driver accountable rather than the car manufacturer—are the missing piece in AI governance. Tune in for a grounded, practical breakdown of AI safety, sandboxing failures, and why the tech industry needs pragmatic engineering over fear-driven hype. Key points covered in this episode: The Hugging Face Incident: What actually happened when models bypassed sandbox constraints to solve testing goals. Ethics vs. Pure Logic: Why probabilistic algorithms act on mathematical optimization rather than human morality. The Accountability Gap: Why software operators—not abstract algorithms—must remain legally responsible for system behavior. The Real Danger: How asymmetric access to AI compute poses a far greater societal threat than science-fiction scenarios. (00:00) Hello! (01:10) Toronto travel hack for airport transit (03:45) Real-world open-world puzzle adventure games (06:08) DigiCity iOS app launch build update (08:55) Deconstructing OpenAI Hugging Face sandbox breakout (14:35) Critical analysis of modern AI doomism (25:20) Why probabilistic language models remain unpredictable (36:35) Enforcing operator accountability over AI systems (47:50) The true threat of asymmetric AI access Watch on YouTube: https://www.youtube.com/live/attTO_5lV3c?si=_UoHkM8JwjmKwh9K Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

September 4, 202638 min

Stop Building Trapware: Honest Game Design

We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 Performative declarations and zero-sum mindsets don't solve real systemic problems—whether in global trade or software architecture. In this episode, we examine the friction between surface-level optics and functional systems, starting with political performativity before diving deep into hands-on game development. Follow along as we break down the process of building an indie city-builder coded from a blank text editor without relying on commercial engines. We explore the architectural decisions behind modeling real-world anti-forces—like air, water, and sound pollution—and discuss the engineering friction of replacing legacy infrastructure as cities transition across technological eras. We take a firm stance against the pervasive trapware dominating modern app stores. By rejecting ad-driven engagement tricks in favor of a clean, pay-once model, software can prioritize therapeutic, open-ended creativity over psychological manipulation. Ready to rethink your approach to software architecture, game mechanics, and honest monetization? Stream the full episode today, check out the project build in the description, and jump into our Discord server to connect with fellow builders. (00:00) Hello! (00:02) Launching a new community Discord server (00:51) Executive declarations and executive branch overreach (04:40) Why zero-sum economics ruins real trade (08:54) Building an indie city-builder from scratch (11:25) Modeling air, water, and sound pollution (13:35) Rejecting predatory trapware and ad monetization (16:50) Upgrading energy infrastructure across technological eras (19:40) Designing collaborative trade between player cities (23:45) Handling legacy systems and urban growth (31:10) Examining regional nuances in West Coast culture Watch on YouTube: https://www.youtube.com/live/SiSZAhpL6qg?si=eaT3tzgNr6iAgNlO Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

August 28, 202658 min

Why You Can’t Scale (AI) Creator Culture

We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 The way we structure software organizations is fundamentally incompatible with the reality of building alongside AI. While most teams treat generative models as glorified auto-complete, the industry is shifting rapidly toward fully agentic execution—and traditional engineering pipelines are cracking under the pressure. In this episode, we break down real-world building in public, starting with a hands-on look at game scenario mechanics, UI scaling challenges, and multi-device constraints. From there, we tackle the hard truth of AI development: what happens when your models hit a wall on novel problems, and how human code slop compares to machine-generated code. We explore the shifting skill set every engineer needs today. Success no longer comes from purely writing lines of code, but from mastering the art of macro-management—knowing exactly when to give broad direction, when to micromanage an edge-case bug, and how to track decisions across dozens of concurrent AI agents. Discover why legacy product management tools, artificial backlogs, and endless grooming sessions are officially dead. Stop letting outdated corporate frameworks hold back your engineering velocity. Stream the full conversation to learn how to scale your output, maintain strict quality guardrails, and build a high-signal tech culture ready for the agentic future. (00:00) Hello! (01:38) Building city scenarios with historical economic anchors. (11:21) Solving multi-device scaling and UI constraints. (15:45) Hitting the limits of generative AI. (27:25) Why modern software structures reject AI. (33:40) Transitioning from individual coder to manager. (43:40) Multitasking across multi-agent development pipelines. (54:45) Why traditional backlog grooming is obsolete. Whach the #buildinpublic clip: https://youtu.be/tCoCgJOvQhg?si=RNoig-hue9iZowqA Watch on YouTube: https://www.youtube.com/live/FjjKrxy9ZnU Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

August 21, 202650 min

Ego-driven logic: The truth about AI adoption

We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 We often confuse emotional reactions with what’s really driving us: ego. If you're building software, art, or content, understanding this distinction changes how you take criticism and ship your work. This week on the 3reate podcast, Andrew and Nathan explore the harsh realities of being a creative in a corporate-structured world. Andrew introduces his new iOS game, DigiCity : City Builder, built for the ongoing Shipaton competition, and breaks down the economic mechanics driving the gameplay. We also take a nostalgic detour into Andrew's CS 101 days, where a C-based dungeon crawler—complete with a "segfault dagger" and encrypted source code—pushed the limits of a college midterm. Whether you're struggling to finish a passion project or trying to navigate the friction of app store approvals and AI-generated workflows, this episode delivers the unvarnished reality of getting things done. You'll learn why imposing your own constraints is the only way to escape the endless loop of perfectionism. Check out the timestamps to jump to your favorite sections, and don't forget to join the newly opened 3reate Discord community to share what you're working on, get honest feedback, and collaborate with other pragmatic builders. Chapters: (00:00) Taking a week off from podcasting (00:45) Launching the new community Discord server (04:00) Podcasting as a hobby and monetization (06:40) Core traits of a successful creative (17:35) Why the world is ego-driven, not emotional (23:40) The actual friction behind corporate AI adoption (25:50) Showcasing DigiCity for the Ship-A-Ton contest (35:10) Building a text-based C game from scratch (48:35) The reality of App Store approval purgatory Whach the #buildinpublic clip: https://youtu.be/aE__eLXJtCE Watch on YouTube: https://www.youtube.com/live/nJB0-Sc-gds?si=Npixctz61WtuOycM Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate https://discord.gg/vS4vqVkKMm Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate

August 7, 202633 min

BuildInPublic Win Real Money – Shipaton.com

Most developers leveraging AI code assistants are burning through expensive tokens only to end up with buggy builds and severe architectural drift. In this episode, Andrew and Nathan break down an actionable, multi-model approach to AI application development. Learn how combining Claude Opus for initial deep architectural planning with Fable for critique and Sonnet for execution can cut your AI development costs by roughly 60% while drastically reducing bugs. We also take a deep dive into the RevenueCat Shipathon—a two-month challenge encouraging creators to build, launch, and monetize zero-to-one apps in public. From navigating Apple’s increasingly frustrating App Store review abyss to using hackathon constraints as a driver for real execution, we cover the practical mechanics and friction of shipping software in today's landscape. Whether you are building games or productivity tools, discover how to differentiate your product with a unique "special sauce" instead of adding to the digital noise. Stop wasting API credits on unorganized prompts. Watch the full episode to refine your planning protocol, navigate store approvals, and turn raw ideas into shipped products. We're discussing: https://www.shipaton.com/ Chapters: (00:00) Intro banter and AI image hallucination fails (03:15) A cheaper multi-model AI coding workflow (08:00) Why agentic planning beats immediate execution (12:10) Winning real money in the Shipathon (18:00) Apple App Store delays and new restrictions (24:00) Using hackathons to force software delivery (29:20) Finding special sauce in saturated markets (34:00) Final thoughts on realistic indie monetization Watch on YouTube: https://www.youtube.com/live/AI2EtwfD13g?si=6kVJqvNOjWIQUpIy Support the pod: https://3reate.com https://ko-fi.com/3reate https://patreon.com/3reate Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://www.youtube.com/@3reate https://www.twitch.tv/3reate