(It is a little unclear whether they used GPT-5 Pro for everything or just mostly GPT-5)
@emollick
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GPT-5 Pro Advances Math With Human Expert Guidance
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We are starting to see some nuanced discussions of what it means to work with advanced AI In this case, GPT-5 Pro was able to do novel math, but only when guided by a math professor (though the paper also noted the speed of advance since GPT-4). The reflection is worth reading.
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OpenAI’s o1 Release Strategy: Why Holding Back Reasoning Models Mattered
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In retrospect it is surprising that OpenAI released o1-preview. As soon as they showed off reasoning, everyone copied it immediately. And if they had held off releasing a reasoning/planning model until o3 (& called that GPT-5) it would have been a startling leap in AI abilities.
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Empowering End-Users: AI Innovation Beyond IT Departments
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I feel like the AI companies have the idea that AI chatbot use is something that should primarily be handled by IT & coders. But end-users are the real innovators. Approaches that make building, testing, & sharing AI uses in organizations more accessible make a big difference.
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Gemini Visualizes Boullée’s Never-Built Newton Centograph
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Never built architecture and AI. Gemini image generator (nano banana) does a pretty good job imaging what Boullée’s Centograph, his fantastical (and never built) tomb for Isaac Newton would have looked like. I gave it the original 1784 black and white drawings to work with.
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Multimodal LLMs struggle with figurative language in image generation
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LLM multimodal image generation remains too literal in the face of figurative language.
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Prompt Sharing Solutions for Teams and Organizations
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Its fine if it turns out that GPTs/Gems/whatever aren't the future, but it seems reasonably urgent to roll out something else that makes sharing prompts useful across teams and organizations. Prompt libraries are still important, and they are still awkward cut-and-paste things.
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GPTs Adoption Stagnates Despite AI Lab Product Launches
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I'll note again that it seems nuts that, despite every AI lab launching a half-dozen new products, nobody is doing anything with GPTs, including OpenAI When I talk to people at companies, this is still the way non-technical people share prompts on teams. No big change in 2 years
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AI Image Generators: Precision vs Serendipity in Creative Output
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Monsters in the distance, shot in 1970s Kodachrome.
— Ethan Mollick (@emollick) 3 septembre 2025
If you want precision in AI images and video, the multimodal image generators (nano-banana, GPT-4o) & video (veo) are the right choices.
But if you want to generate something unusual & serendipitous, nothing beats Midjourney. pic.twitter.com/JuTVkPdYioMonsters in the distance, shot in 1970s Kodachrome. If you want precision in AI images and video, the multimodal image generators (nano-banana, GPT-4o) & video (veo) are the right choices. But if you want to generate something unusual & serendipitous, nothing beats Midjourney.
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AI Code Generation Speed Exceeds Predictions Despite Timeline Gaps
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The speed at which AI has come to write a huge amount of code is pretty amazing, even if it is not as fast as predicted. Becoming a common theme in AI: boosters are more directionally correct than those who dismiss AI, but too early on timelines.