3reate

Is code really holding your team back, or is it your organizational structure? With AI empowering individuals to build faster than ever, traditional tech bottlenecks are rapidly disappearing. But as individual output skyrockets, a new problem emerges: keeping everyone moving cohesively in the same direction. In this episode, Andrew and Nathan dive deep into why the real AI bottleneck isn't your code—it's your people. They unpack the pitfalls of modern management, the death of the traditional product roadmap, and why context is the most valuable currency when working with both human developers and AI agents. From the dangers of "vibe coding" everything without focus, to the hard truth that your company's true moat is now organizational rather than technical, this conversation challenges everything you know about building software in the AI era. Stop letting outdated management styles and unclear roadmaps slow down your development. Whether you're a solo builder or running a massive tech team, understanding these organizational shifts is crucial for survival. "The bottleneck was never the code" by Rémi Louf: https://www.thetypicalset.com/blog/thoughts-on-coding-agents Watch on YouTube: https://www.youtube.com/live/rz-IX4WjRB4?si=n-_djUUZOC7cv712 Time Stamps: (00:00) We're live on Thursday!? (01:15) The bottleneck was never your code (03:35) AI accelerates individuals, not whole teams (06:40) The value and pitfalls of management (11:50) Roadmaps limit learning and product direction (21:35) Context is gold for human workflows (25:10) Focus means learning to say no (28:30) Vibe coding creates abstract spaghetti code (31:35) The new moat is purely organizational 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

As AI-generated noise floods our social feeds, big platforms are effectively throwing up their hands and declaring "slop bankruptcy." Today, we explore the friction between technology and society with Devin Gaffney, CEO of Graze Social, who is fundamentally rewiring the attention economy. We dive into the architecture of outrage, the illusion of "credible exit" in federated networks, and how his company, Graze Social, acts as a "Photoshop for algorithms." You'll learn why platforms are designed to trigger "forest fires" of engagement, and how empowering individual users to design and monetize their own custom feeds might be our best defense against the coming wave of AI slop. Stop consuming the hype and start understanding the mechanism. Devin Gaffney is CEO and Co-founder of Graze Social, a platform for custom algorithms on the open social web that has served 10M+ users and delivered 28B+ posts. His career spans civic tech and social platforms — from misinformation research at Northeastern and Oxford to ML infrastructure at Meedan — with work in WIRED, The Atlantic, and PLOS One. Find Devin: https://www.graze.social https://www.devingaffney.com/ LinkedIn: https://www.linkedin.com/in/devin-gaffney/ Watch us on YouTube: https://youtu.be/WmQA7uNHj54 Time Stamps: (00:00) Episode Preview: Automating behavior on social platforms. (01:47) Devin's background in tech and academia. (08:23) Exploring Blue Sky. (11:00) Understanding the decentralized social networking model. (16:45) How outrage fuels the attention economy. (25:55) Graze: Building custom algorithms without code. (34:15) Developing an open ad network economy. (45:40) AI's impact on social media algorithms. (51:10) Big tech platforms declaring slop bankruptcy. (58:55) Cognitive bias and the outrage machine. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

We tackle the elephant in the room: Data Governance. Andrew and Nathan sit down to unpack the real "AI Mindset" necessary for the modern creator, developer, and executive. We move beyond the hype of flawless AI automation and dig into the messy reality of the software development lifecycle. From fixing memory management crashes caused by AI-written code to understanding why an LLM needs you to hold its hand through every context shift, we explore what it actually takes to build reliable tools alongside artificial intelligence. Is your proprietary data actually as sacred as you think it is? We deconstruct the hoarding mentality that paralyzes companies and offer actionable frameworks for exposing your data models securely. Whether it's safely utilizing foundational models or bridging the friction between gatekeeping IT departments and eager product managers, this episode provides the blueprint for scaling AI responsibly. AI Data Governance Executive Summary: AI Data Governance is currently misunderstood as a strictly technical challenge when it is primarily a cultural and management problem. Organizations artificially throttle their own AI potential by treating all internal data as sacred, highly proprietary, and untouchable. True AI governance requires taking a realistic inventory of your data's actual value, dismantling internal IT gatekeeping, and finding secure ways to empower non-technical teams. By exposing data schemas rather than raw PII and fostering an environment of psychological safety, companies can securely leverage foundational models to multiply their workforce's productivity. Key Points: Reevaluate Data Sanctity: Companies default to hoarding data, but executives must ask hard questions: Is this data actually unique? What happens if it leaks? Do we even need to be collecting this PII in the first place? Expose Schemas, Protect Raw Data: You don't always need to feed sensitive data into an LLM to get value. Empower employees by exposing the data model or schema to the AI, allowing it to write queries and build reports without ever touching the underlying raw data. The "Build vs. Buy" Trust Factor: If you already trust third-party enterprise vendors with your cloud hosting or IT security, you can likely trust foundational AI model providers by implementing proper enterprise agreements and boundaries. Governance is a Management Issue: Employees hoard data and block AI integration when they lack psychological safety. If your culture punishes people for making mistakes or breaking things during experimentation, they will refuse to adopt the AI tools necessary to scale the business. The AI Mindset Executive Summary: The "AI Mindset" requires a fundamental shift away from expecting perfection or "magic" from generative AI. Because generative AI is inherently non-deterministic, it will inevitably hallucinate or introduce bugs—much like traditional software development. To succeed with AI, creators and engineers must treat the technology like a highly capable but completely uncontextualized collaborator. This means embracing an iterative loop of prompting, applying critical thinking to manage edge cases, and focusing on the massive productivity gains of "what could go right" rather than being paralyzed by what could go wrong. Key Points: Embrace Non-Deterministic Outputs: Generative AI is not a deterministic calculator; it operates on statistics. If you spend all your time trying to force it into rigid deterministic filters, you defeat the purpose of using it. The Context Deficit: Unlike humans who carry vast amounts of implied cultural and institutional knowledge, AI only knows exactly what you tell it in its current context window. You must explicitly set the stage, outline contraindications (what not to do), and explain the "why." Master the Iterative Loop: Building with AI requires a constant cycle of zooming in and zooming out. You must focus the AI on a narrow, specific problem (like a login screen), and then zoom out to critically think about how that fix impacts the broader system. Critical Thinking is the Ultimate Skill: AI cannot self-prompt effectively. It requires a human in the loop who can anticipate edge cases, ask hard questions, and steer the creative or developmental process. Watch on YouTube: https://www.youtube.com/live/IEb1_aAHo9I Time Stamps: (00:00:00) Pre-show banter and minor technical difficulties (00:01:45) Why Gen AI fails customer-facing products (00:05:30) Transitioning AI proof of concepts into production (00:10:00) Debugging AI code and unexpected edge cases (00:15:45) Giving up the expectation of AI perfection (00:17:40) Focusing on what can go right instead (00:22:00) Understanding why AI lacks human implicit context (00:24:45) Mastering the iterative loop of AI prompting (00:36:05) Reevaluating the true value of internal data (00:41:30) How to expose data models to AI safely (00:45:40) Why data governance is a management problem (00:51:00) Using AI tools to multiply worker productivity (00:55:45) Wrapping up with fun May Day triviaAI Mindset and AI Data Governance? 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

Right now, the tech world is caught in an endless loop of throwing massive compute power at Large Language Models, hoping brute force will magically spark Artificial General Intelligence (AGI). But what if the foundational computing architecture is entirely wrong? In this episode, we sit down with Ian Hamilton, CEO of Synthetic Cognition Labs, who is walking away from standard models to build true AGI. Ian dismantles complex ideas, detailing why current AI is essentially faking memory and why the path forward lies in hyperdimensional computing. By exploring the friction between biology and technology, we examine how mapping the neural networks of a fruit fly provides a better roadmap for continuous learning than a billion-dollar GPU cluster. You'll learn the critical difference between LLM tokenization and human "analogy-making," and why breaking the AI scale monopoly might require us to nuke everything we know about computing and start over. If you are tired of the AI buzzword salad and want to decode the future, this is your blueprint. Follow Ian: https://www.linkedin.com/in/ianchamilton1/ Check out: https://syntheticcognitionlabs.com/ Watch us on YouTube: https://www.youtube.com/watch?v=Rd0SpOb5gMo Time Stamps: (00:00) Preview (00:58) Ian's introduction (04:15) Why static LLMs fail at continuous learning (07:14) The coding loop and AI memory walls (16:30) Hyperdimensional computing and non-Von Neumann architecture (17:44) Biological inspiration from fruit fly neural networks (24:00) Sparse distributed memory and human-like analogy (39:20) Bridging the hardware gap with LLM emulation (51:40) The danger of the AI scaling monopoly 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

What do a broken toilet on a lunar spacecraft and the catastrophic Chernobyl nuclear disaster have in common? They both serve as ultimate masterclasses in how we handle complex systems and critical information. In this episode, Andrew and Nathan dive into a recent NASA launch, highlighting the fascinating reality of troubleshooting space plumbing on a live, global broadcast. While it might seem embarrassing, that baseline of absolute transparency is exactly why humanity can successfully reach the moon. We juxtapose NASA's open problem-solving with the fatal secrecy of the Soviet Union's nuclear program, where ego, covered-up design flaws, and siloed data led to one of the worst human-made disasters in history. Whether you are writing code, leading an interdisciplinary team, or building the technologies of the future, hoarding information guarantees failure. We explore why the corporate "cover-up" culture halts progress, the undeniable power of open-source development, and how publicly owning our mistakes is the only way to build true collective wisdom. Listen now to uncover why humility, integrity, and honesty remain the most important tools in any creator's toolkit. Stop consuming the hype and start understanding the mechanisms of progress. Subscribe to 3reate for more deep dives into the friction between science, technology, and art! Watch on YouTube: https://www.youtube.com/live/vOOvv3xtsTQ?si=RQxnU4dq7XdbXMZL Time Stamps: 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

Has your casual scrolling turned into an unbreakable habit? You're not alone, and it's certainly not by accident. Recent landmark court rulings have declared that platforms like Meta and YouTube intentionally design their systems to be highly addictive. The era of innocent social media is officially over. In this episode, we dive deep into the legal and psychological reckoning currently facing the tech industry. We explore the hidden architecture of recommendation algorithms, detailing how they trap users in endless echo chambers, prioritize watch-time over truth, and fuel bizarre conspiracy theories. We also tackle the terrifying rise of AI-generated content and deepfakes. With the "uncanny valley" rapidly disappearing, we are entering a digital landscape where seeing is no longer believing. How do we navigate a world where digital trust is fundamentally broken? We discuss the urgent, counter-intuitive need to return to physical, analog verification systems to combat fraud. Finally, we provide a practical blueprint for breaking free from the infinite scroll. Learn how to handle digital withdrawals, set intentional boundaries, and replace toxic platform engagement with meaningful routines. Understand the invisible forces fighting for your attention. Hit play to decode the algorithm, and subscribe for more deep dives into the friction between technology and human psychology! Watch on YouTube: https://www.youtube.com/live/6oQ9wGegnec Time Stamps: (00:00) We're Live?! (00:10) Social media legally ruled intentionally addictive. (01:55) Questioning YouTube's role as social media. (05:25) Recommendation algorithms push users toward conspiracies. (11:20) Science versus belief in modern conspiracies. (14:50) AI disinformation and the shrinking uncanny valley. (16:15) Why we desperately need analog trust systems. (20:05) The real danger of gating powerful AI. (23:45) Actionable strategies to break digital addictions. 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

We dismantle the AI layoff excuse. We explore why executives who are separated from the daily work are using artificial intelligence as a smokescreen for over hiring and poor strategy. From the differences between conversational and agentic AI to a breakdown of the abrupt Digg.com beta shutdown, we reverse-engineer the realities of the modern tech ecosystem. We go beyond the headlines to provide a blueprint for the future. You'll learn why AI is an amplifier that requires rigorous human processes, not a magic bullet that can run a company on autopilot. We explain why the practitioner is more valuable than ever in catching AI hallucinations, refining that final 20% of complex code, and building exceptional products. If you want to survive the hype and learn how to actually leverage AI as a 10x tool without losing your mind, hit play. Time Stamps: (00:00) The absurdity of tech's AI layoff excuse. (01:28) Generative versus agentic AI workflow differences. (04:21) Scaling AI code versus traditional software engineering. (06:40) Why non-technical managers misunderstand AI capabilities. (12:00) Burning it down: The paradigm shift reality. (14:30) AI isn't magic; human validation remains essential. (18:48) Digg.com's abrupt shutdown and the myth of AI moderation. (26:00) How to actually build software and PRDs using AI. (30:50) AI as an amplifier for developer productivity and noise. Watch on YouTube:https://www.youtube.com/watch?v=reWfqWk85mo 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

We’ve engineered a world of unparalleled comfort, but at what cost? From the stagnation of the US healthcare system to the fragility of our agricultural crops, our societal resistance to "deviance" is quietly setting us up for failure. In this episode, we unpack the dangerous illusion of monopolies and monocultures. We trace how systems originally designed for massive "zero-to-one" growth—like the national power grid or the tech dominance of Intel and AMD—become vertically integrated traps that stifle true innovation. When the switching costs feel too high, it is easy to stay on a sinking ship just because it's familiar. But you don't necessarily have to burn it all down to build something better. We explore the architectural blueprints for change: why building parallel systems beats waiting for collapse, the historical necessity of sharing innovation dividends, and why true diversity is the ultimate survival strategy against systemic failure. Step out of the comfort zone and start building the future. Subscribe for weekly deep dives into the hidden mechanisms running our world, and join the conversation in the comments below. Time Stamps: (00:00:00) Debate origins and the current global state. (00:02:44) Personality distributions and their societal impacts. (00:10:00) Why the US healthcare system resists change. (00:13:54) Monocultures fail: the danger of zero deviance. (00:23:43) Building parallel systems instead of burning down. (00:29:31) Utility monopolies and the Cuba power crisis. (00:34:16) Tech duopolies: the Intel and AMD stagnation. (00:38:58) Agricultural monocrops and losing natural diversity. (00:44:00) Titanic analogy: taking uncomfortable leaps for survival. Watch on YouTube: https://youtu.be/HvMpRPyEpRs?si=xdoTfUHCZp-o0pZm 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-

Today, we reverse-engineer the mind of Michelle Plante, a hidden operator turning life's raw observations into standup comedy. From finding her comedic voice after seven years of sobriety to facing the brutal, instant feedback of a live audience, she reveals the raw human experiment of real-time performance. We also dive deep into the collision of analog habits and modern focus. You'll learn how the tactile friction of writing on physical paper engages different neural pathways than typing, forcing us out of digital loops and into the present moment. We discuss the structural blueprints for building resilience when things fail instantly, why corporate top-down mandates always backfire against human nature, and how to harness observational humor as a tool to navigate the changing landscape of creativity. This isn't just a loose conversation; it's an actionable guide. Plus, Michelle shares her simple, screen-free morning journaling protocol to ground your day before the world demands your attention. Watch us on YouTube: https://www.youtube.com/watch?v=tAEx8jVDXCo Listen to Michelle's last 3reate podcast: https://3reate.com/podcast/why-we-need-more-discomfort-and-less-ai-with-michelle-plante-ep-44-3reate/ Find Michelle: https://www.michelleplante.com/ Instagram: https://www.instagram.com/michelleplantecomedy/ Time Stamps: (00:00:00) Hello! (00:01:52) Discovering standup comedy through sobriety. (00:06:17) The neurological power of physical writing. (00:11:41) Daily journaling habits for being present. (00:16:03) Real-time feedback and building resilience. (00:26:07) Why human behavior resists top-down force. (00:30:11) Reading the room and intentional pacing. (00:37:34) The tactile art of roasting coffee. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

In this episode, we sit down to dismantle the "always-on" tech culture. We reveal the architecture behind "Lunchtime," a custom Model Context Protocol (MCP) server that routes secure, peer-to-peer encrypted messages through Signal. This setup allows you to text your AI agents and manage complex coding workflows entirely asynchronously, freeing you from the keyboard while ensuring you don't endlessly burn compute tokens. Beyond the code, we dive into the psychology of product sense and the friction of the creator economy. We explore the Henry Ford assembly line approach to software simplicity and why the hardest technical skill is knowing when to stop adding features. Plus, we drop the first hints about a transformative new stealth project that has been brewing since 2019. Join our community of secret masters and hidden operators of the innovation economy. Subscribe to 3reate, check the show notes to fork the open-source repo, and equip yourself with the mental models to build the future. Watch: https://www.youtube.com/live/y4ob06RwC_w Time Stamps: (00:00) Weekly updates. (02:54) Choosing Signal for secure AI messaging. (08:57) A checker loop for continuous AI agents. (11:53) Coding remotely and reclaiming personal time. (18:13) Knowing when to stop building software. (21:52) Developing product sense and gut instinct. (27:50) Teasing a new transformational stealth project. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

In a world of AI noise, real-world innovation often gets buried under proprietary paywalls. Today we’re debuting our new "Edge Collider" format—a collaborative, workshop-style deep dive designed for the applied polymath. Instead of a passive interview, we’re putting a real-world prototype on the table. Today’s subject: Open Source tDCS (Transcranial Direct Current Stimulation). Neurological conditions like depression and anxiety remain notoriously difficult to treat, often requiring expensive or invasive clinical intervention. By open-sourcing the hardware and software protocols for tDCS, we are working to lower the barrier to entry and facilitate a "standardization of protocols" that the current scientific field lacks. In this episode, we break down: The "Edge Collider" Philosophy: Why we’re replacing "show and tell" with collaborative, high-stakes peer review. The Hardware Reality: The raw truth about building physical products, managing supply chains, and the "human labor" required to facilitate clinical science. The Open Source Paradox: Why we chose a specific license to force collaboration rather than letting our research sit stagnant in a private repository. Safety & Ethics: How we’re using firmware constraints to ensure this technology remains a tool for wellness, not a hazard. We don’t just want you to listen—we want you to build. You can find the full schematics, bill of materials, and firmware in the links below. Watch: https://www.youtube.com/live/z1ZmxE8DnhE Time Stamps: (00:00) Intro: The "Edge Collider" format (05:48) The Science of Open Source tDCS (08:42) Motivation: Why build neurological tech? (11:35) Scaling: The challenge of physical products (13:39) The hardest part of the build (17:48) Licensing: Why GPL vs. BSD matters 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

The future of software isn't just generating code—it's knowing what to build and why. We sit down with Cameron Hotchkies, a Staff Software Engineer at Block, focused on data reliability from the lens of traditional site reliability. They decode the hidden mechanics of AI-assisted development. From the meditative focus of woodworking to managing multi-agent AI systems, discover why "vibe coding" won't survive a 3 AM system crash. In a world flooded with AI noise, true engineering is no longer just about writing lines of code—it’s a survival strategy. The loudest voices claim software engineering is dead, but the hidden architects building our digital infrastructure know the truth. We go beyond loose chat to find the hard truths: What happens when "vibe-coded" AI software hits the wall of a 3 AM production crash? And why is "tech debt" actually the ultimate strategic leverage if used correctly? We explore the critical difference between disposable scripts and load-bearing architecture, the rebirth of the Waterfall method in the age of prompt engineering, and why human intuition remains the ultimate safeguard against algorithmic chaos. Cameron provides the actionable blueprints you need to navigate the rapidly changing landscape of software development and system design. Connect with Cameron on LinkedIn: https://www.linkedin.com/in/chotchkies/ or at his website: https://semisafe.com Watch: https://www.youtube.com/watch?v=07zdubQWf9s Time Stamps: (00:00) Intro (01:08) Analog hobbies: Woodworking and modular synthesizers (06:29) Rediscovering Waterfall: Research, Plan, and Implement (15:45) Why AI won't kill software engineering (18:04) Disposable AI scripts vs. load-bearing architecture (25:00) AI will not go on-call for you (41:12) Project estimation and planning with AI (48:21) Reframing tech debt as engineering leverage (01:02:24) Career wisdom: Always build in public 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

Are you keeping your startup ideas a secret? The era of hoarding concepts and relying on proprietary data moats is over. In this episode, we explore why execution beats secrecy, how AI is dismantling traditional software defenses, and the controversial future of artificial intelligence in healthcare. Stop hiding your ideas and start building the future. Are you keeping your startup ideas a secret out of fear they'll be stolen? That exact mindset might be the thing holding you back. The future isn't built by those who hide their concepts behind NDAs; it's built by those who execute. In this episode, we dismantle the myth of the "stolen idea" and explore why sharing early and often is your best strategy for iterative growth. We dive deep into the collapsing walls of the traditional "data moat." With the rapid advancement of frontier AI models, having a proprietary dataset is no longer the impenetrable defense it used to be. From building open-source podcast apps in hours to AI's capability to infer complex solutions without needing exhaustive historical data, the landscape of software and business is shifting dramatically. We also tackle the controversial and impending rise of AI in healthcare. We discuss why frontier models might soon diagnose common illnesses better than human doctors, the limitations of current systems, and what that means for data privacy and medical infrastructure moving forward. Whether you're a founder, a developer, or just trying to navigate the intersection of technology and society, this conversation provides the blueprints you need to adapt. Stop overvaluing your unexecuted ideas and learn how to leverage the new rules of innovation. Subscribe and join the discussion today. Time Stamps: (00:00) Weekend hustles and managing work-life balance (02:30) Why sharing your startup ideas matters (04:30) Building an open-source podcast sync app (08:15) Navigating the stealth product cold start (12:30) Why proprietary data moats are dying (18:20) AI code generation changes software development (25:20) The controversial future of AI diagnostics (46:40) Imputing synthetic data to fill gaps (49:00) Execution and feedback require sharing ideas 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch: https://www.youtube.com/live/qWEDY2_Bw-Y?si=cIgERdsC25PKQ3Tt

You're best watching this as a video since we're live coding. Watch on YouTube: https://www.youtube.com/live/WDMcmxizoCI AI tools promise to write code for you, but what happens when the build fails? In this episode, we strip away the hype and dive into the gritty reality of AI-assisted software development. Using Antigravity and Flutter, we take on a major refactor of the open-source YourPods application: adding a private, local-only user account system. We start by prompting the agent to re-architect the authentication flow, then move into the trenches of implementation. You’ll see the entire process unedited—reviewing the AI's generated "PRD," troubleshooting over 190 analysis errors, and debugging cryptic Xcode build failures. We also explore the nuances of "human-in-the-loop" development, showing you how to guide the AI when it gets stuck and how to catch the subtle logic bugs it leaves behind. Whether you're a non-technical founder trying to build an MVP or a developer looking to optimize your workflow, this session offers a transparent blueprint for shipping features using modern AI agents. Time Stamps: (00:00) Intro: Technical difficulties (02:42) Why Flutter? Explaining the tech stack and open-source goals (04:50) Tooling up: Introduction to Anti-Gravity and the AI environment (06:22) The Problem: Demoing the YourPods sync limitation (15:00) Agent Workflow: Setting up the file explorer and AI chat (21:05) Context Windows: Why you should separate features into different chats (27:52) The Prompt: Writing the specific instructions for a "Local Account" (36:50) The "Pseudo PRD": Reviewing the AI’s implementation plan (55:04) Reality Check: Hitting the first round of 190+ analysis errors (01:20:05) Build Failed: Debugging the specific Xcode "Phase Script Execution" error (01:36:38) It's Alive: Successfully creating the first Local Account (01:58:35) UX Friction: Discovering the "locked-in" navigation bug (02:04:00) Call to Action: How to contribute to the repository 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

We move past the doom-and-gloom headlines to explore the "Time Collapse"—why things we expected in years are happening in days. If AI can out-code a human, what happens to the architects of the future? Join us as we deconstruct the new "Practitioner Economy" and explain why your human judgment is now the most valuable resource on the planet. The digital landscape is currently experiencing a "Time Collapse." In this episode, we break into a live discussion already in progress to tackle a unsettling reality: the gap between AI capability and human processing is widening. With the release of Google DeepMind’s PhD-level reasoning models, the "bottleneck" has officially shifted from the machine to the human. We explore the transition from "edutainment" to "Applied Polymathy," where knowing how to code is becoming less important than knowing what to build. We dive deep into the Google DeepMind research paper, exploring how reinforced structures and dynamic context are turning LLMs into digital native citizens with superhuman capabilities. What we cover in this session: The Demigod Analogy: Why AI feels like a Greek myth come to life—extraordinary power paired with unique vulnerabilities. The Abstraction Trap: How software layers are being replaced by "Future Projections" that the human brain isn't yet wired to handle. Identity & Work: If AI can do your job better, faster, and cheaper, where do you find your purpose? We discuss the shift from "Knowledge Work" back to "Human Expression." The Engineering Myth: Why the death of "coding" isn't the death of "engineering," and how to leverage AI to solve the messy, complex problems of the physical world. This isn't just another conversation about curiosity; it’s a blueprint for the "Secret Masters" of the innovation economy. Stop consuming the hype and start understanding the mechanism. We are no longer at the precipice of the moment—we are in it. Time Stamps: (00:00) Going live mid discussion >_< (00:20) Recording an offline debate on AI. (01:31) Google DeepMind’s Deep Think model updates. (04:24) AI as an abstraction on software. (07:21) The Greek demigod analogy for AI. (10:50) Unlocking context and memory in models. (14:41) How human systems adopt technology slowly. (16:23) Reconciling work identity with AI automation. (18:30) Why coding is only part of engineering. (24:19) Global perspectives on AI sentiment shifts. (30:29) The transition from physical to knowledge work. (38:38) Replacing coding versus replacing total engineering. (41:19) AI as a massive opportunity for doers. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://www.youtube.com/live/ETpFUsj1GkE?si=9XIpElR9Jg1qGR_q

The narrative is setting in: software engineering is dead. According to the leadership at Anthropic, the profession has less than a year before AI agents take the wheel completely. But for the applied polymaths actually doing the work, the reality is far more complex. In this deep dive, we dismantle the hype to find the signal. We analyze the historical parallels of the printing press and the compiler—tools that didn't destroy jobs, but radically shifted the barrier to entry. The code itself is becoming a commodity, but the "Why" and the "How" have never been more valuable. We explore why "vibe coding" fails at scale, why the cost of maintenance is the hidden killer of AI-generated software, and why the industry is pivoting from "writing syntax" to "context engineering." If you are an artist, scientist, or technologist, this is your blueprint for survival. The future won't be built by those who can write the fastest boilerplate; it will be owned by those with the taste to curate it and the architectural vision to scale it. Join us as we explore the "Application Layer"—the final frontier where human judgment reigns supreme. Chapters: (00:00) Hello! (01:55) Why software engineering evolves rather than dies. (02:50) Cyclical nature of centralized versus distributed computing. (03:55) AI builds fast, but humans must maintain. (11:00) How compilers went from impossible to trivial. (14:20) Solving solved problems versus creating novel value. (15:40) Bold claims often mask incremental model improvements. (20:30) The application layer is the next frontier. (23:40) Future engineers need taste, judgment, and experience. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://www.youtube.com/live/PuM1Sp934nI

The digital landscape is shifting from chat windows to direct execution. In this episode, we dismantle the hype surrounding "OpenClaw" and the new wave of autonomous agents that run locally on your machine. While the ability to self-execute tasks sounds revolutionary, the reality involves exposed API keys, zero guardrails, and a "Wild West" security environment that most users aren't ready for. We then pivot to the bizarre phenomenon of "MoltBook"—a Reddit clone populated entirely by AI bots conversing with one another. Is this the "Boltzmann Brain" of the digital age, or just a massive waste of electricity? We explore the friction between innovation and utility, debating whether these infinite loops of generative mimicry actually produce value or just noise. Finally, we tackle the core competency of the future creative: Judgment. AI can execute, but it cannot discern. We discuss why you must never outsource your decision-making, how to experiment without breaking your bank (or your OS), and why the "Spectator" mindset is the death of true craft. Stop watching the algorithm; start mastering the tool. Chapters: (00:00) Hello! (01:36) OpenClaw: Autonomous AI agents explained. (04:54) The security risks of unprotected API keys. (09:08) Why you must not outsource judgment to AI. (15:34) How agents "hack" memory using context windows. (20:06) MoltBook: The futility of AI-only social networks. (25:31) The neurological filter: Human brain vs. AI inference. (34:39) The Spectator Problem: Passive entertainment vs. active innovation. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://www.youtube.com/live/bVP-opKjawg

Stop writing lines of code, start AI Coding. Andrew shipped a fully functional, international app in just six hours—not by typing syntax, but by managing a "murder" of AI agents, AI Coding. In this episode, we dismantle the "Vibe Coding" trend and replace it with the "Abstraction Workflow," a new method where creativity and judgment replace technical rote memory. Learn how to stop coding and start architecting. The era of "Vibe Coding" is already over. If you are still trying to tab-complete your way through scripts, you are working too slow. We are witnessing the shift from the "Creator Economy" to the "Practitioner Economy," where the barrier to building software has collapsed—if you know how to manage the machine. Andrew breaks down exactly how he built and shipped "Your Pods"—a complex podcast player with Apple Watch and CarPlay support—in a single afternoon. This isn't a discussion about prompts; it is a technical blueprint for a new way of working. We explore the Abstraction Workflow, a method of splitting codebases by context rather than feature to keep AI agents from hallucinating. We discuss why you should treat LLMs not as text editors, but as a "murder of agents" with specific roles, and why "Judgment" has replaced "Syntax" as the most valuable skill in engineering. Whether you are a senior engineer looking to accelerate or a creative with zero coding experience, this episode equips you with the mental models to build software at the speed of thought. Tune in to deconstruct the future of development. Time Stamps: (00:51) Shipping a functional app in six hours. (09:06) Why "Vibe Coding" is already obsolete. (15:55) Breaking code into context-based abstractions. (20:23) Managing a "murder" of AI agents. (25:22) When AI suggests creating race conditions. (29:00) Creativity is now the ultimate technical skill. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://youtube.com/live/LdRCogLCbOU

Andrew built a fully functional iOS app in six hours using AI—and got it approved by Apple on the first try. This isn't just about coding; it's a fundamental shift in how we build. We explore why the era of the "Individual Contributor" is ending and why the future belongs to those who can manage AI agents like a human team. Stop writing syntax. Start directing the machine. The barrier to software creation has officially collapsed. In this episode, Andrew breaks down how he built, polished, and published a paid iOS app to the Apple App Store in under six hours of active work. He didn’t write the code line-by-line; he managed the AI that did. We deconstruct the specific mental shift required to move from a "Coder" to an "AI Manager." We analyze how the traditional product cycle—prototyping, testing, and ticket grooming—has been rendered obsolete by "Vibe Coding," a workflow that allows for real-time feature building during user feedback sessions. Andrew reveals the specific management techniques that allowed him to bypass weeks of development hell and how he got AI-generated code past Apple’s notorious review process on the first attempt. The technical moat is gone. The new advantage is your ability to direct synthetic intelligence with creative precision. If you are still obsessing over syntax, you are already behind. Join us as we blueprint the future of the engineering workflow. Time Stamps: (00:00:55) Human creativity is now the number one skill. (00:03:00) Shifting from coding to managing AI agents. (00:05:30) Building a working prototype in three sentences. (00:08:45) Developing an iOS app in four hours. (00:11:56) Treating AI chatbots like employee delegates. (00:19:40) Rapid prototyping is now instant implementation. (00:23:23) Getting AI code App Store approved immediately. (00:28:17) Why non-creative workers will get left behind. 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube: https://youtube.com/live/0CNXLEGM5aE

Is using an LLM to write documentation "cheating," or is it just the modern version of using Spellcheck? We cover: The Linux Controversy: Why open-source communities are rejecting AI, and why they might be fighting gravity. (https://www.theregister.com/2026/01/08/linus_versus_llms_ai_slop_docs) The Liability Trap: Using the Waymo "Trolley Problem" to explain why humans must remain the "Architects of Liability," even if they aren't the architects of the code. The Medical Test: A thought experiment on trust—would you care if a robot saved your life, or only if it made a mistake? Vibe Coding: The rise of non-technical programming and the security nightmares hiding inside "easy" code. The Bottom Line: Creativity is your ultimate advantage, but clinging to "manual labor" as a badge of honor is a survival strategy for the past. We strip away the drama to give you the mental models needed to navigate the age of synthetic media. Time Stamps: (00:00) Linus Torvalds bans AI documentation from Linux. (01:03) Why the tool matters less than the output. (02:22) Photoshop, Art, and the "Fake" debate. (06:05) Thought Experiment: AI vs. Human Medical Diagnosis. (08:00) Waymo, autonomous liability, and the "Trolley Problem." (09:50) The Spellcheck Defense: Are you "cheating" with AI? (13:30) Vibe Coding: Innovation or security nightmare? 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://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y Watch on YouTube:

Gravity is a constraint—both for manufacturing and for your mindset. In this episode, we dismantle the physics of innovation, exploring why the next generation of computer chips must be built in space to survive. We also ground this futuristic vision in the practical tools you need today, breaking down Google’s Antigravity IDE and why the shift from “coder” to “architect” is the only way to survive the AI boom. Stop planning your year; start engineering your workflow. Most New Year’s resolutions fail because they focus on the vision rather than the execution. As we enter 2026, the gap between having an idea and building it has never been smaller—but the environment where we build is changing radically. In this episode, we explore two frontiers that are redefining what it means to be a "maker." First, we look up at the emerging "Space Forge" economy. We deconstruct why manufacturing in microgravity isn't just sci-fi vanity—it’s a logistical necessity for creating the atomic precision required for next-gen computing. We analyze how removing gravity solves defects that are physically impossible to fix on Earth. Then, we bring that concept back down to the code editor. We go hands-on with Google’s Antigravity environment for Gemini. Is it a gimmick, or does it finally offer the "Architect" workflow that developers have been waiting for? We compare the user experience directly against Claude Code, analyzing where the "Chat vs. IDE" war is heading and which tool gives the polymath practitioner the ultimate leverage. Topics Deconstructed: The Execution Trap: Why "Vision" is cheap and "Milestones" are the currency of 2026. Zero-G Fabrication: How microgravity unlocks higher yields for semiconductor manufacturing. The "Architect" Workflow: Moving from writing syntax to directing multi-agent AI systems. Gemini vs. Claude: A forensic look at context management and UI friction in the latest IDEs. The future belongs to those who can build in any environment—whether that's low earth orbit or a high-latency code base. Join us as we blueprint the tools you need to build the future. Time Stamps: (00:00) Committing to weekly live stream experiments. (01:42) Why annual resolutions fail without milestones. (05:22) Fabricating computer chips in microgravity. (09:17) Solving logistics with hyper-local space manufacturing. (12:00) Reviewing Google’s Antigravity coding environment. (15:34) Comparing Claude Code versus Gemini workflows. (20:18) The geopolitical outlook for 2026 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 Watch on YouTube: https://www.youtube.com/live/insEOyYxV5Y?si=XDJhXhMPcCH-lYpZ

The digital landscape of 2025 was defined by a paradox: vanishing barriers to entry but exponential barriers to attention. As we enter 2026, the era of edutainment and variety shows is over, replaced by a demand for deep, specific expertise? This episode is designed for the applied polymath—the practitioner who operates at the high-stakes intersection of vision, method, and scale . Andrew and Nathan to explore why the Practitioner Economy will dominate the next twelve months. We dive deep into three critical shifts: Artistic Individualism: Why the "AI slop" wave is triggering a retreat into "smart niches" and original IP. Scientific Friction: The widening gap between breakthrough research, such as Alzheimer’s reversal, and a public psyche defined by mistrust. The Tech ROI Reckoning: Why we predict a major Fortune 100 player will finally call bullsh-t on massive AI investments that lack clear returns. 3reate is your field guide to this volatile intersection. We don't just spark curiosity; we equip you with the mental models to build the future. Stop consuming the noise and join our community of hidden operators today. Chapters: (00:00) Hello and welcome to the last pod of 2026! (00:52) Art Predictions 2026 (05:11) Science Predictions 2026 (12:08) Promising breakthroughs in reversing Alzheimer’s within animal models (15:28) Tech Predictions 2026 (19:59) Why a Fortune 100 company will finally call bullsh-t on AI 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 Watch on YouTube: https://youtu.be/uvXuWshY0ps?si=tZnIvPu_SKS64gFC

Two years ago, 3reate began with a bold hypothesis: that creativity is the universal solvent for the world's most complex problems. As we celebrate our second anniversary, host Andrew steps into a rare solo cast to peel back the curtain on the journey so far. This isn't just a celebration; it’s a manifesto for the "doers"—the practitioners who build the future while others merely describe it. In this episode, we explore the evolution of the show from a small audio stream to a visual-first platform with five-digit monthly engagement. Andrew dives deep into the core philosophy that creativity is a trainable skill, comparable to physical training, and explains why the podcast is shifting toward a "Practitioner Economy" model. By focusing on the "Secret Masters" of innovation—those too busy doing the work to seek the spotlight—3reate provides a unique blueprint for navigating a volatile technical landscape. Looking ahead to 2026, the strategy is sharpening. We are increasing our interview cadence and moving toward live, interactive YouTube sessions where you, the audience, can participate in the synthesis. We’re also previewing our 2025-2026 transition, including upcoming predictions across the pillars of Art, Science, and Tech. If you are ready to stop consuming the hype and start understanding the mechanism of innovation, subscribe to 3reate and join our community of applied polymaths. 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 Watch on YouTube: https://www.youtube.com/live/03hAuwwBI-E Chapters: (00:00) Andrew introduces a rare solo cast. (00:58) The origin of 3reate: Solving universal problems. (01:30) Creativity as a pervasive process, not magic. (04:23) Defining "Doers" vs. "Talkers" in society. (05:07) Growth stats: Reaching five-digit monthly engagement. (08:01) The 2026 Roadmap: Increasing interview frequency. (08:45) Shifting to live, participatory YouTube sessions. (11:01) Closing: It is never too late to start.

Katie from Renegade Plastics pulls back the curtain on the innovation economy making sustainable plastic? We dismantle the myth of biodegradable plastics and explore how polypropylene is revolutionizing everything from industrial tarps to ski lift seats. Learn how to stop being a "wishful recycler" and start building a sustainable future. We explore the "Friction Hook" between science and technology—specifically why industry remains entrenched in toxic PVC and how to overcome the inertia of 60-year-old manufacturing standards. Katie deconstructs the blueprints of the future, revealing why traditional recycling rates remain abysmal and how "biodegradable" claims are often a "Level 1" promise that masks deeper environmental issues. This isn't just a loose conversation; it is a structural audit of the objects we use every day. From the technical requirements of hospital mattresses to the carbon footprint of metal water bottles, you will receive the actionable mental models needed to navigate the changing landscape of creativity and sustainability. Stop consuming the hype and start understanding the mechanism of the innovation economy. Katie is a third generation engineer putting her genetic-predisposition to work creating a better way of managing finite resources. She joined Renegade Plastics 4 months after its inception. Her role has been to put sustainability at the forefront of all company decisions while making sure the polypropylene-based coated plastics fabrics meet market demands. Check out Renegade Plastics: https://renegadeplastics.com/ Connect with Katie on LinkedIn: https://www.linkedin.com/in/katie-kolesar-704764b/ Watch on YouTube: https://www.youtube.com/watch?v=z72tlSDB-fU Chapters: (00:00) Intros (03:45) Transitioning from environmental policy to startups (11:16) The hidden toxicity of common vinyl plastics (17:05) Breaking the "heavy plastic equals quality" myth (20:58) Engineering superior sustainable industrial textile alternatives (35:58) Avoiding the "biodegradable" marketing trap (48:45) How to be an informed plastic consumer

Andrew and Nathan deconstruct the build of Seeeks—a post-production tool created almost entirely through AI-driven synthesis. Learn how to bypass the App Store, leverage the Practitioner Economy, and turn raw ideas into functional blueprints for the future of creativity. Join the "Secret Masters" of the innovation economy today. In a digital landscape where the barriers to entry have vanished but the barriers to attention have risen, the new advantage lies in Applied Polymathy—the rigorous intersection of art, science, and technology. This week, we dismantle the "passive conversation" format to bring you a structural roadmap for building in the AI era. We explore the launch of Seeeks, a podcast post-production engine built using a vibe coding methodology where LLMs handled the vast majority of the heavy lifting.+4 We dive deep into: The Practitioner Advantage: Why the era of pundits is over and "unknown doers" are the new authority in the creator economy.+1 Packaging Concept-First: Moving beyond "guest-first" marketing to focus on the high-value "Secret Masters" who are too busy doing to seek clout. SaaS vs. Utility: Reconstructing the business model to favor transparency and pay-per-use over extractive, "level 1" subscription models. The Technical Blueprint: Navigating FlutterFlow, PWAs, and the often-ignored importance of MP3 enclosure metadata for cross-platform discovery. Stop consuming the hype and start understanding the mechanism. This is your field guide to navigating the volatile intersection of code and creativity. Join our tribe of like-minded practitioners and equip yourself with the mental models needed to build the future. Check out Seeeks for podcast post production: https://seeeks.com 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 Watch on YouTube: https://www.youtube.com/watch?v=KZcoo7S9GOE Chapters: (00:00) Helloooo! (00:48) Introduction to the Seeeks post-production app. (01:05) Proving that vibe coding actually works. (02:28) Avoiding App Store pain with PWAs. (16:40) Comparing utility pricing and SaaS models. (25:53) Why embedding MP3 enclosure metadata matters. (38:57) Handling AI context loss during coding. (45:12) Using AI as a strategic thought partner.

The world is getting safer, cleaner, and more polite—and it might be killing the future. We are living in an era defined by a "Decline of Deviance," where the removal of risk has resulted in a homogenization of culture and a collapse of true creativity. In this deep dive, we move beyond "loose conversation" to deconstruct the friction between security and innovation. We explore the "Safety Trap"—why Hollywood churns out sequels and why you can’t find original ideas on Google anymore. We track the historical precedent of how society lost indoor plumbing for a thousand years and ask: are we about to lose our technological edge for the same reason? This isn't just theory; it's applied polymathy. We dismantle the "Search vs. Discovery" problem, explaining how modern algorithms force-feed us answers while hiding the solutions we actually need. Andrew also pulls back the curtain on the "Practitioner Economy," revealing how he "vibe coded" his new post-production platform, Seeeks, using AI to bypass traditional coding workflows entirely. Stop outsourcing your curiosity to the algorithm. Join us as we reverse-engineer the necessity of risk and learn why the future belongs to the deviants. Subscribe to  3reate to equip yourself with the mental models to build what comes next. Read what we're reading: The Decline of Deviance: https://www.experimental-history.com/p/the-decline-of-deviance Our Overfitted Century: https://www.theintrinsicperspective.com/p/our-overfitted-century 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 Chapters: (00:00:00) Hello World! (00:00:48) Evidence that society is slowly stagnating. (00:04:25) Why comfort disincentivizes taking creative risks. (00:07:52) How ignoring norms unlocked human flight. (00:10:41) Outsourcing our decisions to opaque algorithms. (00:17:24) Why search engines kill genuine discovery. (00:23:38) Losing indoor plumbing for a millennium. (00:29:50) Building software without writing any code.

Andrew and Nathan dive into the concept of "Brain Rot" and whether short-form content is destroying our ability to focus. They discuss the difference between consuming information and gaining true wisdom, warning against the illusion of competence. Later, the conversation pivots to Artificial Intelligence, exploring how "context engineering" with LLMs can actually train us to be better human collaborators by prioritizing clarity over politeness. Is "Brain Rot" a real medical condition or just a slang term for a generation losing its attention span? In this live-streamed episode, Andrew and Nathan break down a recent NBC News article warning of the emerging risks tied to short-form video. They explore the terrifying impact of the scroll-loop on critical thinking, the loss of nuance in societal debates, and the false confidence created by 30-second tutorials that mimic mastery. But it’s not all doom and gloom. The hosts discuss actionable strategies to reclaim your focus, including the importance of "slow" hobbies like cooking, puzzles, and crochet that force delayed gratification and deep work. The conversation then takes a technical turn toward Artificial Intelligence. Andrew argues that working with AI has made him a better collaborator. They discuss the art of "Context Engineering"—moving beyond simple prompt engineering to provide deep background—and how the frustration of communicating with an LLM mirrors the challenges of delegating tasks to real people. Finally, they wrap up with a philosophical look at why AI models (and modern workplaces) suffer from being too "nice" rather than being "kind," and why honest feedback is the ultimate form of collaboration. Watch us on YouTube: https://www.youtube.com/live/P6ArSg96gCE 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 Chapters: (00:00) Hello! (01:52) Discussing NBC article on brain rot risks. (05:10) Redefining brain rot as attention rot. (08:40) Short-form content versus distinct mastery skills. (10:06) Dunning-Kruger effect and startup founder ignorance. (16:40) Rebuilding focus through slow, deliberate hobbies. (21:20) Using AI to improve human collaboration. (23:30) Importance of context engineering in prompting. (30:30) Distinguishing between being nice and kind.

Andrew and Nathan return for a pre-holiday special to clear the queue of listener questions left over from their recent livestream. They dive deep into the intersection of creativity and logic, debating whether AI art can ever possess a soul and discussing how scientific thinkers are often misunderstood by the public. Andrew and Nathan sit down to tackle the questions they didn't have time to answer. The conversation begins with a look at the blurring lines between art, science, and technology, arguing that the most successful creators are those who can operate in all three circles. The hosts then move into a philosophical debate regarding Artificial Intelligence: is AI-generated imagery just "noise dressed up pretty," or can it eventually claim to have a soul? They also explore the frustration of scientific misrepresentation in the media and the "change fatigue" that comes with modern tech life—specifically targeting the recent design updates in iOS. Finally, they discuss the concept of timelessness in art. Is beauty subjective, or is it mathematically wired into our biology? Andrew explains how patterns like the Fibonacci sequence suggest a universal standard for beauty that transcends culture. The episode wraps up with personal advice on handling professional burnout and where to focus your mental energy going into 2025. Watch us on YouTube: https://www.youtube.com/watch?v=MXRGtmpZxjU Watch or listen to our recorded live stream: https://3reate.com/podcast/does-ai-benefit-humanity-ai-on-trial-youtube-live-stream-3reate/ 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 Chapters: (00:00) Answering leftover questions from the livestream. (00:30) Are art, science, and tech blending? (03:42) Debating if AI art has soul. (06:19) How scientific thinkers get misrepresented. (11:32) Defining what makes art truly timeless. (13:00) The golden ratio and universal beauty. (17:23) Managing burnout and constant industry change.

Watch us on YouTube: https://www.youtube.com/watch?v=fbk0gjU22x4 Listen to Michelle's last audio only 3reate podcast: https://3reate.com/podcast/e006-alcohol-free-group-travel-for-women-making-life-intentionally-meaningful-and-embracing-discomfort-with-michelle-plante/ Andrew welcomes Michelle back to the show for a candid conversation that bridges the gap between personal growth and technological philosophy. Michelle updates listeners on her shift away from the travel industry and how she discovered a new passion for improv comedy. She explains how the "yes, and" mindset of improv forces people to put down their phones, stop self-censoring, and actually listen to one another—skills that are becoming increasingly rare. The discussion takes a philosophical turn as Andrew analyzes the current state of AI and society. Drawing comparisons between 1984 and Brave New World, he argues that our biggest threat isn't government oppression, but rather a self-imposed apathy and a reliance on comfort. The duo discusses the "black box" nature of AI models, questioning the ethics of the invisible guardrails that shape the answers we receive. Key themes discussed in this episode: The Value of Improv: How performance art combats the distraction of the digital age. AI Ethics: The concern regarding transparency, bias, and the "happiness filters" placed on Large Language Models. Productivity Paradox: Why we are using AI to do more work instead of creating more time for life. Critical Thinking: The risk of raising a generation that cannot sit with discomfort or solve problems without a digital assistant. Join us for a thought-provoking session on how to maintain your humanity when the technology around you is trying to simulate it. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello! (01:05) Transitioning from corporate life to travel. (02:16) Creating alcohol-free travel experiences for women. (04:25) Burnout and reigniting passion through AI. (06:07) Competing in a Midwest Rant Championship. (08:10) How improv forces you to be present. (12:14) Comparing Brave New World to 1984. (14:30) Using AI productivity to gain free time. (17:48) The hidden bias within AI models. (21:28) When AI gives bad relationship advice. (28:40) The danger of avoiding human discomfort.

Watch on YouTube: https://www.youtube.com/watch?v=n0rnCfVSyvg Listen to our last audio episode Has AI Killed SEO?: https://3reate.com/podcast/has-ai-killed-seo-with-annie-deihl-and-robyn-white-ep-38-3reate/ Annie and Robyn join Andrew to share essential strategies for retailers navigating the AI revolution this holiday season. From benchmarking your brand’s visibility using five specific prompts to optimizing your homepage speed and FAQs for AI crawlers, this episode covers exactly how to ensure customers find you. Tune in to learn why optimizing for artificial intelligence is ultimately just optimizing for humans. The holiday season is here, and the way customers find products is shifting rapidly. In this video episode, Andrew welcomes back Annie and Robyn to discuss how retailers, solopreneurs, and marketing managers can adapt to the AI tool revolution just in time for Black Friday traffic. The conversation centers on the importance of benchmarking. The team shares a practical framework using five specific prompts to test how AI tools—like ChatGPT, Perplexity, and Google AI Overviews—perceive your products. By simulating customer behavior, such as asking for recommendations, comparing competitors, and prioritizing features like price or use-cases, you can immediately identify gaps in your online visibility. Beyond benchmarking, the group dives into actionable experimentation and optimization strategies, including: Leveraging Video: Why AI tools prioritize YouTube content. Performance:* The critical need for fast homepage load speeds to match AI latency requirements. Technical SEO: How to use llms.txt to guide AI crawlers, similar to robots.txt. Content Structure: Using FAQs to answer specific problems (like assembly instructions) to capture niche search intent. Ultimately, the episode concludes with a powerful insight: the question "How do we AI?" is no different from "How do we human?" By creating scannable, helpful content, you serve both your human customers and the AI agents trying to find you. Listen on YouTube: https://www.youtube.com/@3reate Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/3reate/id1723426314 Listen on Spotify: https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello! (01:06) Benchmarking brand visibility on AI tools (01:46) Prompt 1: "I need recommendations for [product category] that [specific requirements]" (02:06) Prompt 2: "What is/are the best [product/s]? (02:43) Prompt 3: "I'm comparing [competitor products]. Which would work better for [use case]?" (02:57) Prompt 4: "I'm comparing [competitor products]. Which would work better for [use case]?" (03:21) Prompt 5: "Should I be aware of anything else? What else should I know about my brand?" (06:00) Why AI tools prioritize YouTube content (06:16) Homepage speed impacts AI search results (07:23) Optimizing FAQs for specific user problems (08:23) Using llms.txt to guide AI crawlers (08:45) Optimizing for AI helps human customers

Watch Does AI Benefit Humanity - AI on Trial recording from our live YouTube broadcast: https://www.youtube.com/live/c-9jt4OVH0Q Join Andrew and Nathan for a special interactive debate where a coin toss determines their stances on Artificial Intelligence. Nathan takes the "Con" side, arguing that the AI boom represents a dangerous misallocation of global resources (water, energy, and finance). He dives into the "Alignment Problem," illustrating the existential risk via the famous "Paperclip Maximizer" thought experiment, and warns that offloading tasks to LLMs is rapidly eroding human critical thinking. Andrew takes the "Pro" side, defending AI as the first non-deterministic technology in history. He argues that current limitations are merely the growing pains of a "digital toddler" and predicts a future where AI acts as a personalized "Jarvis-like" lab assistant that amplifies human potential rather than replacing it. The hosts also tackle audience questions regarding: Safety Guardrails: Can the government effectively regulate code? The Definition of Art: Can a machine express the human condition? Future Jobs: Why Geoffrey Hinton suggests becoming a plumber. The episode concludes with a look at "sleeper technologies," specifically how World Models and Google’s custom TPUs (Tensor Processing Units) might solve the energy efficiency crisis currently plaguing the industry. **Debate stances do not necessarily reflect the views of the hosts.** Listen on YouTube: https://www.youtube.com/@3reate Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/3reate/id1723426314 Listen on Spotify: https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello! (00:47) Coin toss determines debate stances. (03:17) Nathan argues AI wastes global resources. (04:15) Andrew claims AI transforms human input. (14:14) The Ultron comparison and safety risks. (19:06) Paperclip maximizer scenario and alignment risks. (32:53) Erosion of human critical thinking skills. (50:31) Defining art: Human versus machine creation. (56:55) Hinton's advice on plumbing career security. (01:13:15) Google TPUs versus Nvidia GPU efficiency.

Watch us on YouTube: https://www.youtube.com/watch?v=CuPIxJjKOY8 Andrew and Nathan are back to discuss how they actually use AI for practical work, specifically for software development and coding. Nathan kicks things off by explaining his preference for CLI (Command Line Interface) based agents, like Claude Code. He details his evolution from treating AI like a "junior software engineer" to now pushing the boundaries with advanced "hive mind" or "swarm" frameworks. This approach involves spinning up multiple AI agents with specific roles—like a coder, an architect, a QA tester, and even a documentation agent—to tackle complex features simultaneously. Andrew shares his completely different approach, which he calls vibe coding?! He primarily uses the chat window in Gemini, leveraging customized "Gems" that are pre-instructed for specific tasks. He has different Gems for architecture, reasoning, and coding. A key instruction he bakes in is "don't assume anything, ask for clarification," which helps avoid the common AI "looping problem." By grounding his AI Gem with his project's code repository, he can iteratively challenge the AI, test his own assumptions, and rapidly build features. The conversation explores how these AI-assisted methods have dramatically accelerated development time, cutting app prototyping down from six months to just a few weeks. They conclude by sharing practical, non-technical tips that anyone can use, whether you're coding or analyzing a spreadsheet, emphasizing the importance of breaking down large problems and clearly defining the AI's context. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello world! (01:22) Nathan’s approach: Using AI for coding. (03:15) Advanced AI: Using "hive minds" (swarms). (06:56) Vibe coding? with Gemini Gems. (09:26) Tell AI "don't assume anything." (13:50) AI speeds up app development significantly. (16:51) Best skill: Breaking down massive problems. (21:33) The importance of bounding the AI's context. (24:07) Pro-Tip: Ask AI to write better instructions.

Watch us on YouTube: https://www.youtube.com/watch?v=JexgL_vxyYU How do you actually use AI in creative work? We move beyond the hype to discuss how they use AI as a thought partner, a learning tool, and a collaborative aid. They share specific, practical use cases for coding, self-directed learning, and even language tutoring. Learn why AI won't take your job, but why you must remain the "human in the loop" to get real value. We dive into the practical, creative, and sometimes surprising ways they use AI in their daily work. They kick things off by establishing their core philosophy: AI is a powerful tool, but always requires a "human in the loop." Andrew pushes back on the idea that AI will take everyone's job, arguing that generative AI is non-deterministic, while valuable work requires predictable, determined outcomes. The real value, they argue, is in freeing up low-value tasks—like meeting summarization—to allow for more high-level human participation. Nathan, an engineer, shares his practical use cases, such as using AI for coding, brainstorming, and accelerating learning. He details a specific example of using AI to transcribe and format tables from images into markdown, a task that was previously manual and tedious. Andrew adds a pro-tip: feeding AI a screenshot of text often yields better vectorization results than pasting the text itself. The conversation shifts to using AI as a "thought partner." Andrew uses it for ideation and to find counterpoints to his hypotheses. He uses it to critique and shorten long emails, careful to use it as an aid rather than a writer to avoid the generic "AI voice." Nathan warns against letting AI become a crutch that dulls critical thinking. A key theme is using AI for self-directed learning to solve "unknown unknowns." Nathan shares a story about using an LLM to identify a complex, non-standard coordinate system from a document in Puerto Rico—a problem he didn't even know how to Google. They finish with a deep dive into advanced "context engineering," sharing their best prompting tips. This includes using system prompts (like Nathan’s "Spanish tutor" that explains why a correction is made), asking the AI to "generate a plan first" for procedural tasks, and forcing the AI to "ask clarifying questions" instead of making assumptions. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello world! (00:33) Using AI as a "thought partner" (02:26) Why AI (probably) won't take your job (04:56) Pro-tip: Screenshots can yield better results (08:17) Warning: Don't let AI become a crutch (10:30) Use case: Solving "unknown unknowns" (coordinate system) (16:29) Use case: AI as a customized language tutor (19:50) Prompting tip: Make the AI generate a plan

Watch us on YouTube: https://www.youtube.com/watch?v=AqkA9sKH_Y0 "Deploying capital" sounds simple, but in most tech companies, it's a bureaucratic nightmare. Why do teams spend entire quarters planning for the next quarter, only to argue over meaningless, subjective metrics? In this episode, we explore the massive gap between executive vision and employee execution. A great vision is useless if your teams can't (or won't) build it. We dive into the common dysfunctions that stop progress: internal politics, "budget jacketing" where managers fight for resources, and the "keeping the lights on" mentality that starves innovation. We also discuss the "Big Tech" incentive problem, where employees are rewarded for building a shiny new thing, getting promoted, and letting the code rot—leaving the company to fix the core business function later. The fix isn't another complex framework. The solution is a mix of top-down vision and bottom-up empowerment. We share the "Band-Aid Story"—a powerful, real-world example from a hospital—that shows how trusting employees to solve their own problems leads to massive efficiency gains. Finally, we tackle the human element of power dynamics. When executives say "we're a flat org," is it true? Or are employees just afraid to speak up because "you can fire me"? This is the cultural rot that kills good ideas. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello world! (1:27) Prioritization frameworks become bureaucratic. (3:22) Executives fail to get vision executed. (5:44) "Budget jacketing": the political game. (9:50) Big Tech: Build, promote, let it rot. (20:58) The "Band-Aid Fix" story begins. (23:11) No one will tell management their opinion.

Watch us on YouTube: https://www.youtube.com/watch?v=gxk3mmapp6g A report on podcast ad effectiveness sparks a debate about the medium's evolution from niche "edutainment" to mainstream, ad-driven entertainment. The hosts argue that "algorithmification" has broken our ability to discover new things, using the wild theories surrounding a real interstellar comet as a case study in lost curiosity. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello world! (01:04) Andrew introduces a "Top 15 Podcasts by Ad Performance" list (03:35) The hosts realize something about top-performing shows (10:10) Andrew criticizes how ad-driven models and algorithms force creators into narrow niches (13:24) Modern algorithms kill the human chaos element of discovery (19:26) The conversation pivots to aliens and the strange discovery of interstellar comet 3I/Atlas

Check out our YouTube getting ready for Holiday AI: https://www.youtube.com/watch?v=n0rnCfVSyvg Listen to their most recent update: https://3reate.com/podcast/ai-powered-holiday-retail-black-friday-ready-3reate/ Has AI Killed SEO? WTF is GEO and AEO?! Annie Deihl and Robyn White join the podcast to discuss the evolution from traditional SEO to SEO for AI- GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization), explaining how brands must now build authority and trust to be recommended by generative AI models. The conversation explores the practical challenges of AI adoption, debunks corporate hype, emphasizes the critical need for human expertise, and stresses that "learning to learn" is the most important skill for navigating this new era. Read Annie & Robyn's piece SEO is so Yesterday. The future is here with AISO, GenAO, and AAO! https://www.womenxai.com/post/seo-is-so-yesterday-the-future-is-here-with-aiso-genao-and-aao Check out WOMENxAI (https://www.womenxai.com/) - A diverse network of women who are dedicated to amplifying women’s voices, leadership, and impact in artificial intelligence. Annie Deihl is a platform builder for customer experience, operations and data. She specializes in e-commerce and fintech. Connect with Annie on LinkedIn: https://www.linkedin.com/in/anniedeihl/ Read what Annie is reading: GenAI Marketshare from ProfG Markets Newsletter Robyn White is a UX Director with expertise in content design and AI-enhanced user experiences. With a background in leading UX strategy and cross-functional teams, plus an insatiable curiosity about emerging technologies, she enjoys helping organizations create impactful digital solutions in the rapidly changing AI landscape. Connect with Robyn on LinkedIn: https://www.linkedin.com/in/robyn-white Read what Robyn is reading: Your AI Survival Guide by Sol Rashidi Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello world! And introductions. (01:20) The discussion introduces SEO for AI aka GEO aka AEO, explaining the paradigm shift from traditional Google search lists to AI models providing single, authoritative answers. (06:01) To be recommended by AI, brands must build authority and trust by creating consistent, in-depth content (how-tos, FAQs, videos) on top of good SEO practices. (09:34) AI should be used as a tool with a human in the loop to assist content strategists, not replace them, ensuring brand voice and consistency are maintained. (11:06) The hype around AI is overblown; it cannot replace true human expertise, and companies often fail to get ROI because they lack a clear strategy or the necessary data infrastructure. (18:39) In the age of AI, learning to learn, critical thinking, and deep expertise will become more valuable than ever as automation handles simpler tasks. (33:22) Brands risk customer backlash by misusing AI; J. Crew, for example, faced criticism for "creative bankruptcy" after using AI-generated images. (36:12) Parents should teach kids critical thinking to question AI-generated content and are strongly warned to avoid internet-connected generative AI toys, which are uncontrollable and unsafe. (46:46) Final recommendations include the book Your AI Survival Guide and encouraging listeners to get proactively involved in shaping local AI policy.

Watch us on YouTube: https://www.youtube.com/watch?v=gqHiABJNPrA We discuss their recent journey of trying to grow 3reate podcast on YouTube, exploring the difficult balance between genuine creativity and manufacturing content for the algorithm. We share practical lessons from our experiments and give blunt advice to aspiring creators and entrepreneurs. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Hello world! (00:31) The YouTuber journey and the conflict between staying creative versus manufacturing content to grow a brand. (02:04) Most advice for creators comes from people who are already famous, we're not! (03:19) Diverse topics hurt discoverability. (04:51) The dark side of growth. (07:15) How the metrics break down. (10:31) Andrew reveals two secrets. (14:47) Figuring out the algorithm can be its own form of creative problem-solving, similar to science. (15:45) Why 99.9% of people won't be successful. (17:39) We debate the definition of art. (22:24) Entrepreneurship parallel advice for both (28:41) Andrew ends the episode by teasing the next topic. . .

Watch us on YouTube: https://www.youtube.com/watch?v=KsVRs8xkzFo What happens when an AI gets dangerously good at faking reality? This week, we're tackling OpenAI's Sora 2 and its strange new social media features. We'll show you some of the wild, copyright-infringing videos it creates while refusing simple requests and discuss the massive ethical problems of releasing this "unnecessary technology" to the public. Later, we get real about the creator journey—from the frustrating struggle with YouTube and Instagram algorithms to the unfiltered advice every aspiring creator needs before they start. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters (00:00) Hello World! (00:20) Sora 2's Weird Social Media Platform: OpenAI's new video AI is also a social media app, and its content rules make absolutely no sense. (02:18) Sam Altman as a Cartoon Villain: See the bizarre, brand-infringing video Sora created of OpenAI's CEO that shows just how flawed the AI is. (05:18) The Brainwashing Conspiracy: Are platforms like YouTube secretly training us to ignore the signs of AI-generated fakes? (06:28) The Unethical Double Standard: AI companies get to experiment on society without consent, a dangerous double standard that needs to stop. (18:28) The Creator's Algorithm Battle: Why does the same video thrive on YouTube but completely die on Instagram? We break down the frustrating reality. (31:19) Unfiltered Advice for New Creators: Thinking of starting a YouTube channel? Here’s the one piece of advice you absolutely need to hear first.

In this episode, Austin, co-founder of the sales platform Topsail, shares his startup journey. He explains how his team pivoted multiple times after realizing their customer acquisition costs were too high, eventually finding success by simplifying their product to a single button that boosts sales productivity. The conversation also dives into startup cosplay—the act of pretending to be a founder without doing the hard, uncomfortable work—and explores how AI is best used as a hidden tool to augment human connection, not replace it, making genuine conversations more valuable than ever. Austin Buell co-founded Topsail after a pivot from BLUPRNT a digitized brand strategy workshop. A large portion of that project was algorithmic questions, but AI was responsible for competitive research, creating marketing plans, and converting the algorithm outputs from hard to read formulas into natural language; which all translated into Topsail. Topsail simplifies a seller’s outreach motion to a single button click – transforming your team into a well-drilled, world-dominating force overnight. Connect with Austin on LinkedIn: https://www.linkedin.com/in/austinbuell/ Check out Topsail: https://topsail.app/ Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) Welcome to 3reate! (00:55) What is Topsail? (01:56) Go-To-Market Strategy (03:10) The Startup Pivot (04:49) Why They Pivoted to Topsail (10:12) Startup Cosplay vs. Real Work (19:59) Using AI as a Hidden Tool (25:00) A Founder's Role & Vibe Coding (50:37) Conversational Led Sales, the future with AI?

Watch us on YouTube: https://youtu.be/JixwTWFsn6A We discuss the rise of AI-generated virtual actors like Tilly Norwood and the broader implications for entertainment and reality itself. As deepfake technology becomes indistinguishable from real life, we explore how society must adapt, the urgent need for algorithmic choice, and why being intentional with our technology use is more important than ever. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) LFG! (00:16) The AI Celebrity Tilly Norwood (02:39) The End of Trust for Things Seen or Heard (09:04) Manufacturing Your Own Reality (13:39) The Dopamine's Rat Race's? (21:07) AI Algorithmic Choice is Essential (43:13) Reimagining Society with AI

Watch on YouTube https://www.youtube.com/watch?v=ei3NHY8hWQE ! Have you ever paid for an app, only for it to betray you with ads and unwanted features later on? It’s a frustrating reality of the digital world, and it highlights a harsh truth: you don't actually own your software, you only rent it. This week, we use the recent Pocket Casts controversy as a launchpad to explore the broken promises of modern software subscriptions. We break down how the “Software as a Service” model has eroded our sense of ownership and why companies feel they can change the rules at any time. But it gets worse. We reveal how these same deceptive business models are now being applied to AI, leading to unpredictable costs and, more importantly, a terrifying new level of privacy invasion. Learn about the concept of a "digital twin"—a virtual you built from your most private data—and why the "trust us" attitude of big tech is a danger we can no longer afford to ignore. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00) The Betrayal Begins (01:51) The “It Was a Bug" Excuse (05:37) The Truth: You Don't Own Your Software  (30:37) The AI "Carnival Game"  (44:21) You Are The Product  (45:53) Your Digital Twin is For Sale  (51:50) The Only Thing That Matters Now

We're now on YouTube https://youtu.be/kXYZf9bq4Fs ! In our first-ever video episode, we explore the myth of the 8-hour workday and the secrets to true productivity. We then pull back the curtain on social media, exposing how algorithms can feel like a Ponzi scheme for creators. Finally, we tackle the modern loneliness epidemic, discussing the dangers of AI companions and a controversial new theory on why polyamory is on the rise. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Chapters: (00:00:31) - We're on YouTube! https://www.youtube.com/@3reate (00:03:11) - The Myth of the 8-Hour Workday & The Power of Long Weekends (00:11:21) - The Problem with "Scripted" Podcasts vs. Authentic Conversation (00:21:41) - How Social Media Algorithms Kill New Content (00:38:02) - The Loneliness Epidemic & The Dangers of AI Companions (00:48:30) - A Controversial Theory Linking Polyamory to a Lack of Social Skills (00:56:06) - Are Tech Companies Irresponsible for Releasing Untested AI?

Dr. James Lloyd, Research Fellow at the University of Western Australia and the ARC Centre of Excellence in Plants for Space discusses his journey from rural England to the forefront of synthetic biology. He explains his innovative work on "gene circuits," a technology that offers more flexible and precise control over plant genetics than traditional methods like CRISPR. Instead of making a single, permanent change, these circuits can turn genes on or off in response to specific conditions like heat or chemical triggers. Dr. Lloyd connects this research to his role in the "Plants for Space" initiative, a multidisciplinary project aiming to grow plants in space to support human exploration. He details the immense challenges, such as microgravity and radiation, and explains how solving these extreme problems will lead to breakthroughs for agriculture on Earth, improving food security and enabling sustainable manufacturing of medicines and bioplastics. The conversation explores the complexities of genetic engineering, the balance between scientific hype and reality, and the importance of interdisciplinary collaboration to solve humanity's biggest challenges. Dr. Lloyd's publications: Google Scholar, LinkedIn Read what Dr. Lloyd is reading: The MaddAddam Trilogy Series by Margaret Atwood Watch Dr. Lloyd's lecture SynBio4ALL on YouTube Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate (0:00) Start (0:41) Introduction: Dr. James Lloyd joins from Perth, Australia (5:22) Rewriting the Genome: Introduction to synthetic biology and creating artificial gene controls (7:02) Comparing gene circuits to the more widely known CRISPR technology for gene editing (8:43) The Power of Gene Circuits (15:04) Beyond "One-and-Done" Edits: Discussing the flexibility of gene circuits compared to older methods like Roundup Ready corn (19:25) The challenges of engineering biological systems and the "context is king" principle. (38:30) Plants for Space: Introducing the ambitious project to grow plants in space to support human exploration (45:12) Space Research for Earthly Problems: How solving for space agriculture can improve food security and vertical farming on Earth (51:30) Plants as Replicators: Exploring the futuristic idea of using plants to manufacture drugs, bioplastics, and other materials (1:09:56) Hype vs. Reality in Biotech (1:32:28) Starting a Research Lab: Dr. Lloyd shares the challenges and rewards of transitioning from a postdoc to running his own lab

With an abrupt start after Part 1, do you ever feel like your brain is short-circuiting from the constant digital noise? It’s not just you. This episode unpacks the anxiety of our hyper-connected world, revealing how social media was just the warm-up act for a much bigger challenge: Artificial Intelligence. We explore how technology is changing society faster than our brains can adapt, leaving entire generations behind and making basic systems fail. The conversation then pivots to the most critical question of our time: Are we building an AI we can't control? We reveal the shocking parallels between unregulated AI development and dangerous gain-of-function virus research—and why we must have a public debate about this technology before a handful of tech companies decide our future for us. This is the conversation about AI you’re not hearing anywhere else. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate (0:00) Intro (1:18) The Anxiety Machine in Your Pocket (3:58) Social media has shattered our natural social limits, forcing our brains to process a million curated lives and causing crippling mental fatigue from constant context-switching. (13:38) Technology is advancing so fast that society can't keep up. (28:27) AI is the Unregulated Drug We Use Every Day (37:01) Is Artificial General Intelligence more dangerous than “gain-of-function" research in virology? Who Gets to Decide Our Future?

In this episode, Andrew and Nathan explore how modern life, saturated with endless communication channels and choices, is leading to a breakdown in basic interactions. Starting with a personal story about team dysfunction in a government accelerator program, they use the "cereal aisle" analogy to explain how having too many options makes everything more complicated. They then share relatable anecdotes—from unhelpful restaurant staff to unresponsive companies and failing government services like the post office—to show how this problem of being overwhelmed is causing a decline in accountability and the erosion of societal norms. Join us next week for Part 2 where we take on the biggest topic of our time: Artificial Intelligence. We're developing a technology we can't fully control or predict. Should we be treating it less like a Silicon Valley startup and more like a dangerous virus? The debate you're not hearing in the mainstream. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate (0:00) Introduction (1:41) The episode opens with a story about a government tech accelerator where communication failures and misaligned priorities among strangers create a "weird catch 22," preventing progress (5:17) The conversation expands to the "paradox of choice," using the analogy of a grocery store cereal aisle: having 50 options derived from only a few core ingredients actually makes things worse (6:08) This paradox is applied to communication. The explosion of synchronous and asynchronous channels (Slack, Teams, text, email) across different projects creates "nested options" that overload people (7:32) A series of personal anecdotes illustrates this societal breakdown, including a frustrating interaction at a seafood restaurant, an unresponsive insurance company, and a post office whose address validation system has been down for days. (13:20) The hosts conclude that the combination of information overload and a lack of accountability has left everyone feeling too overwhelmed to function effectively, causing societal norms and basic systems to fray. (16:58) Part 2 teaser

In this episode, Andrew and Nathan dive into the art of getting things done, both individually and as a team. They start with a simple but powerful philosophy for personal productivity: break down every goal into small, single-day tasks. This approach prevents overwhelm and the "scope creep" that plagues so many projects. They expand this idea to team management, especially in tech, arguing that a manager's primary role is to protect the team from unnecessary complexity and endless meetings. By setting clear processes, fostering asynchronous communication, and empowering team members with ownership, managers can eliminate chaos and create a culture of efficiency and accountability. The conversation wraps with a look at how these same principles of providing clear context are essential for successfully working with AI. Get the most out of AI development tools; provide clear context. Explain the "what" and "why" of your goal, not the "how." The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate

In this episode, Nathan details his innovative project: a low-cost, modular headband for transcranial direct current stimulation. The goal is to build a platform for large-scale remote studies on brain activity, potentially aiding in treatments for depression and Alzheimer's, and ultimately presenting this data to the FDA. Andrew provides an update on his podcast post-production tool, "Seeeks," which is nearing a public preview, and shares his significant frustrations with the opaque and unhelpful support systems at major tech companies like Google. The conversation then broadens into a critical analysis of why most companies fail at implementing new technology like AI, arguing it's not a tech problem but a management failure. The discussion concludes with a deep dive into the breakdown of modern management, generational differences in work styles, and the critical need for outcome-focused leadership over corporate politics and conflict avoidance. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Signup for Seeeks Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate

This week, Andrew and Nathan explore the mental cost of living in an age of information overload. They discuss the power of disconnecting—trading multitasking for singular focus—to boost creativity and combat cognitive fatigue. The conversation then shifts to the crucial role of publicly funded basic science, using examples from AI-powered wildfire prediction to the development of mRNA vaccines. Andrew also shares a powerful story from his time documenting the oral traditions of Navajo elders, reflecting on non-linear storytelling, the preservation of culture, and the incredible history of the Navajo Code Talkers. It’s a deep dive into focus, science, and the different ways we share knowledge. The weekly episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate

Dmitri Kalashnikov is a climate scientist and National Science Foundation postdoctoral research fellow at the University of California-Merced. Having created Convolutional Neural Network-based predictive models for lightning in the western United States; he is currently working on applying these predictive models to climate models to project future changes in the climatology of lightning storms in the western United States. Ever wonder how climate science actually impacts your life, especially with wildfire season becoming a new normal? 🌲🔥 Andrew reconnects with postdoctoral climate scientist Dmitri Kalashnikov, who pulls back the curtain on his vital research. They dive into how political policies and funding cuts threaten the scientific foundation we all rely on. Dmitri breaks down the rigorous, multi-year process of publishing a scientific paper and explains his groundbreaking new research that uses AI to predict future risk of lightning-caused fires. From the "Ostrich Effect" in politics to the real-world value of predicting extreme weather, this conversation reveals why the work of scientists is more critical than ever. Read what Dmitri is reading: Doppelgänger by Naomi Klein Read Dmitri's paper Projections of Lightning-Ignited Wildfire Risk in the Western United States here. Read Dmitri's interview with the Guardian: Climate crisis will increase frequency of lightning-sparked wildfires, study finds Read Dmitri's interview with the New York Times here: Lightning Strikes California With Unusual Frequency This Summer Watch what Andrew is watching: Ron Deibert from The Citizen Lab speaks about his new book Chasing Shadows: Cyber Espionage, Subversion, and the Global Fight for Democracy Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate Listen to Dmitri's pervious 3reate Podcast, Episode 13 Chapters: (0:00) Welcome Back, Dmitri: Andrew welcomes postdoctoral climate scientist Dmitri back to the podcast to discuss the state of climate science in 2025. (1:41) Government's Real Impact on Science: Dmitri explains that actual government funding cuts are a bigger problem for scientists than what the media says. (4:31) The Hidden Value of Public Research: The hosts discuss how foundational government-funded science, from the internet to AI, creates massive, long-term economic value. (6:33) How Climate Science Affects You: Dmitri breaks down how his research on wildfire risk directly informs public awareness and shapes critical policy decisions. (14:19) What Is a Scientific Paper?: Get a behind-the-scenes look at the long and rigorous process of writing, peer-reviewing, and publishing an academic paper. (26:01) Predicting Wildfires with AI: Dmitri details his groundbreaking new research that uses AI and neural networks to project the future risk of lightning-caused fires. (35:21) The Data Behind the Models: Learn about "atmospheric reanalysis," a fascinating process where NASA combines data from countless sources to create a complete weather history of the planet. (49:40) When Science News Goes Wrong: Dmitri uses the "wavy jet stream" hypothesis to illustrate how the media can sometimes run with exciting but unproven scientific theories. (1:01:43) The Future of Climate Research: Dmitri gives a sneak peek into his next projects, including the connection between heat waves and wildfire intensity. (1:06:34) Book Recommendation & Final Thoughts: Dmitri recommends Naomi Klein's book "Doppelganger" for its insights into social media and political polarization.

Ever feel like you're creating for an audience of one? In this episode, Andrew and Nathan pull back the curtain on the confusing world of podcasting metrics. Andrew reveals a surprising discovery: while his server bandwidth has doubled, platforms like Spotify report almost no new listeners. This mystery sparks a candid conversation about the real reasons to create, the power of a "back catalog" of content, and the modern creator's biggest challenge: the "discovery problem." Tune in for an honest look at what it takes to get your voice heard in 2025 and why the process itself is often the greatest reward. The LFG episodes are the fortnightly recorded checkins between Andrew and Nathan, that they hope help inspire your curiosity and creativity. These are different from typical guest episodes as they are less focused on conversation. Support the pod: https://3reate.com, https://ko-fi.com/3reate or https://patreon.com/3reate