Creative Flux: The Generative Media Podcast

Jellypod

Each week, AI engineers Pierson Marks (@piersonmarks) & Bilal Tahir (@deepwhitman) bring you practical insights, creative workflows, and the latest breakthroughs in generative media. We cover everything that's happening in AI-powered audio, video, and image creation, sharing hands-on tips and industry news straight from the front lines. Topics include new generative models, creative best practices, open-source tools, real-world use cases, and the evolving landscape of AI-driven content creation.

  1. 2 days ago

    Fable 5 Is Back Online, Chinese Models Are Closing the Gap and OpenAI's Secret Fourth Model | EP#51

    In Episode 51, Pierson and Bilal kick off with the World Cup, AI anime rivalries, and Trump speaking to a hologram of Teddy Roosevelt - then get into what actually matters this week. From there: Fable 5 and Mythos 5 are back online - but won't answer basic biology questions, and why that's a bigger problem than it soundsAlex Carp's take: OpenAI and Anthropic are the biggest rug pull in tech - you're paying them to steal your business secretsOpenAI's three new models submitted to government screening- and a rumored secret fourth model nobody's talking aboutChinese models closing the gap - GLM 5.2 is basically at Opus 4.7 level and the moat is shrinking fastTiered model access — will companies start gatekeeping Fable behind seniority levels?Continual learning - the next AI paradigm where models update their own weights in production, making government regulation basically impossibleOpen source vs closed source security - the Linux kernel argument and why Daytona went closed source Chapters: 00:00 Episode 51, World Cup Energy & AI Anime Rivalries 06:00 Trump Talks to a Hologram of Teddy Roosevelt 13:00 Fable 5 Is Back - But Can't Answer What a Mitochondria Is 17:00 Alex Carp, Token Budgets and the AI Rug Pull Argument 22:00 OpenAI's New Models and the Secret Fourth Model Rumor 28:00 Continual Learning - The Paradigm That Makes Regulation Impossible 34:00 Open Source vs Closed Source Security and the Daytona Controversy 🐦 Follow the hosts: Pierson → https://x.com/piersonmarksBilal → https://x.com/deepwhitman 📺 More episodes:    / @jellypodai

    38 min
  2. 26 Jun

    50 Episodes In, A Year of AI in Review, 2027 Predictions and Why Google Is Losing the Race | EP#50

    In Episode 50, Pierson and Bilal hit a milestone - half a century of Creative Flux. They look back at a year of generative AI and look ahead to what 2027 actually looks like. From there: The year in review — what improved (image gen, LLMs, agents), what didn't (long-form TTS, multi-character voice, VO3)Why "before Opus 4.5 and after Opus 4.5" is the new BC and AD for AI timelinesThe Google Workspace CLI engineer who went viral on Product Hunt — then got fired for itNoam Shazeer leaving Google again after a $2.7B acquisition — and what it signals for GeminiData center NIMBYism — why communities push back and how AI companies are getting the messaging completely wrongAGI vs superintelligence — Kurzweil's 15-year gap and why Bilal thinks it doesn't exist2027 predictions: one-person billion dollar companies, AI dark factories, the first Hollywood studio deal for an AI-native film Chapters: 00:00 Episode 50 — Half a Century of Creative Flux 05:00 Data Centers, NIMBYism and Getting the Message Wrong 16:00 One Year in Review — What AI Got Right and What It Didn't 22:00 AGI vs Superintelligence — Where Are We Actually? 27:00 Google Fires the Workspace CLI Engineer — What That Tells You 33:00 2027 Predictions — One Person, Billion Dollar Companies 🔗 Links mentioned: Anjney Midha (AMP): https://www.youtube.com/watch?v=O5PfU_uDhS0Seed Audio 1.0: https://fal.ai/models/bytedance/seed-audio-1.0 🐦 Follow the hosts: Pierson → https://x.com/piersonmarksBilal → https://x.com/deepwhitman 📺 More episodes: / @jellypodai

    41 min
  3. 12 Jun

    Fable 5 First Reaction - What Does Anthropic's New Model Actually Do? | Creative Flux #48

    In Episode 48, Pierson and Bilal give their first reaction to Anthropic's Fable 5 - and the verdict is clear. This is a genuine step change, not a benchmark shuffle. Bilal breaks down the Mythos vs Fable distinction, what the silent model routing controversy was really about, and why Anthropic's decision to route certain requests to Opus 4.8 made sense strategically - even if users hated it. Pierson gets into what Fable 5 actually unlocked for him in practice, and why most people won't see the difference unless they throw it something ten times harder than usual. From there: Why Anthropic's Ghostbusters x Spider-Man trailer was edited by Fable 5 itself - and what that signalsAI as a story continuity engine for massive universes like Star Wars and Game of ThronesDario's "AI and the Exponential" blog post - the thoughtful version vs the one-line clip versionWhy the people calling AI a bubble are coping - and what the benchmarks actually sayUBI, job displacement and the case for 24-month severance from AI labsHumanoid robots, space colonization and why superintelligence won't need a spacesuit Chapters: 00:00 Episode 48 & First Reaction to Fable 5 05:00 Mythos vs Fable - What the Difference Actually Means 12:00 The Silent Model Routing Controversy and Why It Mattered 17:00 Fable 5 Edited Its Own Launch Video - What That Signals 22:00 How to Actually See the Difference in a New Model 27:00 Dario's Exponential Blog, UBI and AI Job Displacement 🔗 Links mentioned: Fable 5: https://www.anthropic.com/news/claude-fable-5-mythos-5Ghostbusters x Spider-Man mashup: https://x.com/deepwhitman/status/2065122222503825541?s=20 🐦 Follow the hosts: Pierson → https://x.com/piersonmarksBilal → https://x.com/deepwhitman 📺 More episodes:  / @jellypodai

    32 min
  4. 5 Jun

    We Post for the Machines Now, Free Unlimited Images & Agents That Run Themselves | Creative Flux #47

    In Episode 47, Bilal drops the most counterintuitive take of the season - he doesn't post for followers anymore. He posts for the machines. And once you hear why, you can't unhear it. From there: Why the best insights on YouTube have 300 views — and how hedge funds are already exploiting this gapBabbel Labs: Mac minis + Claude agents watching YouTube 24/7 and selling the reports to Wall StreetThe free Codex hack generating unlimited GPT Image 2 outputs via parallel sub-agentsClaude Cloud Environments — fire a task, close your laptop, check the PR preview an hour laterThe 5AM automation that reads Vercel logs, does root cause analysis, and files deduplicated bugs in Linear while you sleepClaude Ultracode + Workflows — what it looks like when agents start designing their own agent chainsElevenLabs x Hasbro, AI NIMBYism, and why Bernie Sanders' data center ban will hurt everyone except big tech Chapters: 00:00 Episode 47 & Posting for the Machines 05:00 Hidden Alpha — Why the Best YouTube Insights Have 300 Views 12:00 Free Unlimited Images via Codex Sub-Agents 17:00 Claude Cloud Environments & Firing Tasks Without Babysitting 21:00 Ultracode + Workflows — Agents Orchestrating Agents 29:00 ElevenLabs x Hasbro, AI NIMBYism & the Data Center Ban 🔗 Links mentioned: 1. Claude Dynamic Workflows: https://code.claude.com/docs/en/workflows 2. ElevenLabs x Hasbro: https://elevenlabs.io/blog/hasbro  3. OpenAI Codex sites: https://developers.openai.com/codex/sites 🐦 Follow the hosts: Pierson → https://x.com/piersonmarksBilal → https://x.com/deepwhitman 📺 More episodes: / @jellypodai

    38 min
  5. 29 May

    Why Your Workflow Beats Any Model Release | Claude AgentView & Token Costs | Creative Flux #46

    In Episode 46, Pierson and Bilal make the case most builders don't want to hear — stop chasing model releases and start building better systems. Naval just said "waste tokens, save time." Microsoft burned their entire AI budget in 4 months. The cost conversation is changing fast — and this episode gets into why your processes matter more than your benchmarks. From there: Claude AgentView — 10 parallel agents in one unified screenThe unified API architecture Pierson rebuilt for Jellypod to serve both humans and agentsSlash goals, HTML artifacts and front-loading agent contextClaude Code Routines — Pierson's 5am health check that files its own bug reports in LinearWhy the models are already far beyond what most people can extract from themThe Suits CEO crossword analogy and what a real software factory actually looks like Chapters: 00:00 Episode 46 & What We Built This Week 05:00 Grill Me Skill, Slash Goals & Front-Loading Agent Context 10:00 Claude AgentView — 10 Parallel Agents in One Screen 16:00 Stop Chasing Model Releases — Build Better Systems 22:00 Naval, Token Costs & Microsoft's AI Budget Crisis 28:00 Claude Code Routines & the 5AM Automated Bug Report 🔗 Links mentioned: Naval on wasting tokens: https://www.youtube.com/watch?v=aiyf-5jmYf0&t=311sMicrosoft AI budget crisis: https://www.youtube.com/shorts/XcjDn6uj-sE 🐦 Follow the hosts: Pierson → https://x.com/piersonmarksBilal → https://x.com/deepwhitman 📺 More episodes: / @jellypodai

    34 min
  6. 15 May

    Can AI Actually Understand Your Codebase? Agents, Token Maxing & the Future of Creative AI | EP 44

    In Episode 44, Pierson and Bilal get into something every AI builder eventually runs into — the model is smart, but it still breaks. And it's not always the model's fault. They break down why agents fail not because they can't think, but because they have no eyes, arms, or legs — and what it actually takes to build systems where agents succeed. Pierson demos how he got agent browser to auto-authenticate behind a login wall using OAuth magic link flow, no password required. Bilal gets into Hyperframes, Remotion's parallelization edge, and the real cost of rendering long-form AI video at scale. From there they cover: Why you can outsource your thinking to AI, but never your understanding — an Andrej Karpathy quote worth sitting withThe Bun codebase port from Zig to Rust — a million lines of code, merged in daysToken maxing culture and why burning more tokens doesn't mean building betterJack Dorsey's Block org structure and why tooling engineers are quietly the most valuable people in the roomBilal releases an AI-generated song — and the comments didn't know it wasn't humanA guy who posted a real Monet and told the internet it was AI — and they believed itThe Chinese solo creator who made an AI zombie film in 10 days for $400 and got a studio deal Chapters: 00:00 Episode 44 & What We've Been Building This Week 06:00 Why AI Models Fail — And It's Not What You Think 12:00 Outsource Your Thinking, Not Your Understanding 19:00 Principal Engineers, Product Vision & What AI Can't Replace 27:00 Token Maxing, Tooling Teams & the Jack Dorsey Org Shift 33:00 Agent Auth, Playwright & Building Arms and Legs for AI 39:00 AI Art, the Monet Trick & Bilal's AI Song Nobody Knew Was AI 🔗 Links mentioned: Bilal's AI Song: https://x.com/deepwhitman/status/2055001909619274146Hyperframes: https://hyperframes.heygen.com/Bun Rewrite in Rust: https://news.ycombinator.com/item?id=48132488 🐦 Follow the hosts: Pierson → https://x.com/piersonmarksBilal → https://x.com/deepwhitman 📺 More episodes: / @jellypodai

    37 min

About

Each week, AI engineers Pierson Marks (@piersonmarks) & Bilal Tahir (@deepwhitman) bring you practical insights, creative workflows, and the latest breakthroughs in generative media. We cover everything that's happening in AI-powered audio, video, and image creation, sharing hands-on tips and industry news straight from the front lines. Topics include new generative models, creative best practices, open-source tools, real-world use cases, and the evolving landscape of AI-driven content creation.