The Jagged Future of Live Sports — Part 1
One of my favorite generative AI/AGI writers is Professor Ethan Mollick, whose latest book is “Co-Intelligence: Living and Working with AI” and who is also the author of the substack One Useful Thing. As someone with early access to the latest frontier models from labs including Open AI and Anthropic, he’s one of my first reads when the latest models are released so that I can quickly be up to speed on the advancements and new capabilities. And while Professor Mollick finds AI remarkable and shares compelling use cases for the technology, he also talks about “the jagged frontier”. The jagged frontier is a concept that describes the uneven and unpredictable boundaries of AI capability. In essence, AI can perform complex, expert-level tasks, such as math and coding, with remarkable efficiency and efficacy, while failing at seemingly simpler tasks that lie outside the capability reach of the models. In his GPT-5.5 post, he mentions that “every few months a new model arrives…[and] the size of the leaps grows each new release cycle. The jagged frontier is still there. It is just much further out than it used to be”. ...