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Horse Egg Lifecycle Infographic: https://staging.simtheory.ai/share/file/UZ2KJU

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So Chris, this week... we're diving into Google's new Nano Banana 2 image model - 50% cheaper and supposedly faster (when the servers aren't melting). We put it through its paces with annotation-based editing, slide generation, and yes, the return of the legendary horse egg experiment.

Plus: Google quietly kills Gemini-3 after just a few months (good riddance?), we discuss why the model was "dead on arrival" for agentic workflows, and break down the real story behind those massive AI layoff announcements from Block and WiseTech. Spoiler: it's probably not actually about AI.

We also get into the current state of the model wars (Opus 4.6 vs Codex 5.3), why smaller models like GLM-5 might be the future for enterprise agentic tasks, and Chris's wife teaching Claude to literally speak to her using Mac's text-to-speech. The models are getting creative.

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0:00 - Intro
0:36 - Nano Banana 2: Price, Speed & First Impressions
3:19 - The Compositing Problem & Last Mile Design
5:41 - Annotation-Based Editing (This Changes Everything)
9:52 - Slide Editing & Real-World Use Cases
12:34 - The Horse Egg Experiment Returns
14:30 - Image Degradation & Cost Breakdown
17:47 - Text-to-Image Leaderboard Discussion
20:01 - Why Nano Banana Dominates for Work
22:07 - Codex 5.3 vs Opus 4.6
22:54 - Google Kills Gemini-3 (What Went Wrong?)
26:48 - Google's Agentic Problem
30:08 - The Model Loyalty Cycle
34:22 - Why Opus 4.6 is Still the Best
37:05 - Cost Optimization & Smart Model Routing
43:30 - When Models Get Stuck on the Wrong Path
45:36 - Nicole's AI Learns to Talk Back
46:54 - Can Anyone Build Software Now?
52:26 - Anthropic's Legal/Finance Plugins & Market Panic
57:08 - Block Lays Off 4,000: AI or Excuse?
1:00:05 - The AI Job Apocalypse Isn't Real

Thanks for listening like and sub xoxo

JTP: Berrios Brings It + Free Agent 1B Options