ChatGPT's "4x Faster" Image Update vs. Google Nano Banana Pro: I Ran 9 Brutal Tests

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My site: https://natebjones.com Full Story w/ Prompts: https://natesnewsletter.substack.com/p/grab-the-82-image-prompts-i-use-for?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My substack: https://natesnewsletter.substack.com/ _______________________ What’s really happening with the latest ChatGPT image release vs Google’s Nano Banana Pro? Everyone's talking about benchmark scores and ChatGPT being “4x faster” — but I actually tested both models and the reality is much more complex. In this video, I share the inside scoop on an image model shootout across nine business-relevant tests: • Why the generation method breaks logical diagrams • How edit loops waste time without quality gains • What wins in funnels, maps, Venns, and OSTs • Where ChatGPT image cutoffs ruin slide usability Chapters 00:00 - Introduction to ChatGPT’s Code Red 00:52 - High-Level Observations 03:06 - Comparison of Image Models 04:48 - Child’s Alphabet Test 05:50 - Funnel Diagram Analysis 07:07 - Fictional Maps Test 08:33 - Advertisements and Layouts 09:12 - ARR Revenue Bridge 10:07 - Venn Diagram Challenge 12:49 - Final Takeaways and Recommendations My takeaway: for execs and operators shipping real decks, the risk isn’t “slightly worse images” — it’s unusable visuals, rework, and lost time, while Nano Banana Pro is already at the tipping point for practical PowerPoint-grade output. Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/