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

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 signals * AI as a story continuity engine for massive universes like Star Wars and Game of Thrones * Dario's "AI and the Exponential" blog post - the thoughtful version vs the one-line clip version * Why the people calling AI a bubble are coping - and what the benchmarks actually say * UBI, job displacement and the case for 24-month severance from AI labs * Humanoid 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-5 [https://www.anthropic.com/news/claude-fable-5-mythos-5] * Ghostbusters x Spider-Man mashup: https://x.com/deepwhitman/status/2065122222503825541?s=20 [https://x.com/deepwhitman/status/2065122222503825541?s=20] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes:  / @jellypodai   [https://www.youtube.com/channel/UC6mJDIh6egiKEfwD8SVidfg]

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 gap * Babbel Labs: Mac minis + Claude agents watching YouTube 24/7 and selling the reports to Wall Street * The free Codex hack generating unlimited GPT Image 2 outputs via parallel sub-agents * Claude Cloud Environments — fire a task, close your laptop, check the PR preview an hour later * The 5AM automation that reads Vercel logs, does root cause analysis, and files deduplicated bugs in Linear while you sleep * Claude Ultracode + Workflows — what it looks like when agents start designing their own agent chains * ElevenLabs 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 [https://code.claude.com/docs/en/workflows] 2. ElevenLabs x Hasbro: https://elevenlabs.io/blog/hasbro [https://elevenlabs.io/blog/hasbro]  3. OpenAI Codex sites: https://developers.openai.com/codex/sites [https://developers.openai.com/codex/sites] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai   [https://www.youtube.com/channel/UC6mJDIh6egiKEfwD8SVidfg]

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 screen * The unified API architecture Pierson rebuilt for Jellypod to serve both humans and agents * Slash goals, HTML artifacts and front-loading agent context * Claude Code Routines — Pierson's 5am health check that files its own bug reports in Linear * Why the models are already far beyond what most people can extract from them * The 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=311s [https://www.youtube.com/watch?v=aiyf-5jmYf0&t=311s] * Microsoft AI budget crisis: https://www.youtube.com/shorts/XcjDn6uj-sE [https://www.youtube.com/shorts/XcjDn6uj-sE] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai

AI Just Solved an 80-Year-Old Math Problem — Plus Google I/O, Karpathy Joins Anthropic | EP 45

In Episode 45, Pierson and Bilal cover the week that changed a few things — Google I/O delivered a mixed bag, Karpathy walked into Anthropic, and OpenAI's model autonomously cracked an 80-year-old math problem nobody saw coming. From there: * Google Flash 3.5 came in 3x more expensive — and Omni didn't beat Cdance 2 * Why Gavin Baker's chip bet on Google losing cost efficiency played out exactly right * SpaceX IPO, the Cursor deal & who files first — OpenAI or Anthropic * Karpathy joins Anthropic — and what he's actually going there to do * Meta and Cloudflare layoffs — the displacement wave is already here * Corporations becoming governments, SpaceX militias & the return of local economies Chapters: 00:00 Episode 45 & Google I/O First Reactions 07:00 Gavin Baker's Chip Bet & Amazon's Quiet Edge 10:00 SpaceX IPO, Cursor & the OpenAI vs Anthropic Race 15:00 Karpathy Joins Anthropic & the Erdős Math Breakthrough 22:00 AI Displacement, UBI & the Eric Schmidt Backlash 27:00 Corporations as Governments & the Future of Local Economies 🔗 Links mentioned: * OpenAI Erdős Solution: https://openai.com/index/model-disproves-discrete-geometry-conjecture/ [https://openai.com/index/model-disproves-discrete-geometry-conjecture/] * GitHub Hack: https://x.com/github/status/2056949168208552080 [https://x.com/github/status/2056949168208552080] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai

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 with * The Bun codebase port from Zig to Rust — a million lines of code, merged in days * Token maxing culture and why burning more tokens doesn't mean building better * Jack Dorsey's Block org structure and why tooling engineers are quietly the most valuable people in the room * Bilal releases an AI-generated song — and the comments didn't know it wasn't human * A guy who posted a real Monet and told the internet it was AI — and they believed it * The 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/2055001909619274146 [https://x.com/deepwhitman/status/2055001909619274146] * Hyperframes: https://hyperframes.heygen.com/ [https://hyperframes.heygen.com/] * Bun Rewrite in Rust: https://news.ycombinator.com/item?id=48132488 [https://news.ycombinator.com/item?id=48132488] 🐦 Follow the hosts: * Pierson → https://x.com/piersonmarks [https://x.com/piersonmarks] * Bilal → https://x.com/deepwhitman [https://x.com/deepwhitman] 📺 More episodes: / @jellypodai