Articles

  • 3 weeks ago | oneusefulthing.org | Ethan Mollick

    Two years ago, I was on a plane with my teenage daughter, messing around with a new AI image generator while the wifi refused to work. Otters were her favorite animal, so naturally I typed: “otter on a plane using wifi” just as the connection was restored. The resulting thread went viral and “otter on a plane using wifi” has since become one of my go-to tests of progress AI image generation. What started as a silly prompt has become my accidental benchmark for AI progress.

  • 1 month ago | oneusefulthing.org | Ethan Mollick

    Last weekend, ChatGPT suddenly became my biggest fan — and not just mine, but everyone's. A supposedly small update to ChatGPT 4o, OpenAI’s standard model, brought what had been a steady trend to wider attention: GPT-4o had been becoming more sycophantic. It was increasingly eager to agree with, and flatter, its users. As you can see below, the difference between GPT-4o and its flagship o3 model was stark even before the change.

  • 2 months ago | oneusefulthing.org | Ethan Mollick

    Amid today’s AI boom, it’s disconcerting that we still don’t know how to measure how smart, creative, or empathetic these systems are. Our tests for these traits, never great in the first place, were made for humans, not AI. Plus, our recent paper testing prompting techniques finds that AI test scores can change dramatically based simply on how questions are phrased.

  • Mar 30, 2025 | oneusefulthing.org | Ethan Mollick

    Over the past two weeks, first Google and then OpenAI rolled out their multimodal image generation abilities. This is a big deal. Previously, when a Large Language Model AI generated an image, it wasn’t really the LLM doing the work. Instead, the AI would send a text prompt to a separate image generation tool and show you what came back. The AI creates the text prompt, but another, less intelligent system creates the image.

  • Mar 22, 2025 | oneusefulthing.org | Ethan Mollick

    Over the past couple years, we have learned that AI can boost the productivity of individual knowledge workers ranging from consultants to lawyers to coders. But most knowledge work isn’t purely an individual activity; it happens in groups and teams. And teams aren't just collections of individuals – they provide critical benefits that individuals alone typically can't, including better performance, sharing of expertise, and social connections. So, what happens when AI acts as a teammate?

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