{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"This Day in AI Podcast","title":"Nano Banana 2 is Here! Gemini-3 Shutdown & The AI Layoff Myth | EP99.36","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/f5de1415\"></iframe>","width":"100%","height":180,"duration":3729,"description":"Join us on the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80\nJoin Simtheory: https://simtheory.ai\nTDIA Discord: https://discord.gg/gTW4RkAJvn\nHorse Egg Lifecycle Infographic: https://staging.simtheory.ai/share/file/UZ2KJU\n----\nSo 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.\nPlus: 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.\nWe 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.\n---\n0:00 - Intro\n0:36 - Nano Banana 2: Price, Speed & First Impressions\n3:19 - The Compositing Problem & Last Mile Design\n5:41 - Annotation-Based Editing (This Changes Everything)\n9:52 - Slide Editing & Real-World Use Cases\n12:34 - The Horse Egg Experiment Returns\n14:30 - Image Degradation & Cost Breakdown\n17:47 - Text-to-Image Leaderboard Discussion\n20:01 - Why Nano Banana Dominates for Work\n22:07 - Codex 5.3 vs Opus 4.6\n22:54 - Google Kills Gemini-3 (What Went Wrong?)\n26:48 - Google's Agentic Problem\n30:08 - The Model Loyalty Cycle\n34:22 - Why Opus 4.6 is Still the Best\n37:05 - Cost Optimization & Smart Model Routing\n43:30 - When Models Get Stuck on the Wrong Path\n45:36 - Nicole's AI Learns to Talk Back\n46:54 - Can Anyone Build Software Now?\n52:26 - Anthropic's Legal/Finance Plugins & Market Panic\n57:08 - Block Lays Off 4,000: AI or Excuse?\n1:00:05 - The AI...","thumbnail_url":"https://img.transistorcdn.com/aAluHke3KeoZVZl5oHI3dYi5Walf-zJNNOaP4YcX9VQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzM4NjMxLzE2ODQz/OTA2ODQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}