Ep. 367: What if AI Doesn’t Get Much Better Than This?

In this episode of Deep Questions, Cal Newport explores the recent shift in perceptions of AI, from initial euphoria and dread to a more tempered outlook, discussing whether AI's progress has plateaued. He examines claims made by tech CEOs, the underwhelming release of GPT-5, and the disconnect between AI hype and its actual economic impact, referencing technology analyst Ed Zitron's skepticism. Newport then delves into the technological narrative, explaining the scaling law and its subsequent failure, leading to a shift towards post-training techniques. He concludes by suggesting that AI's future will involve gradual, fragmented advancements rather than a single, transformative breakthrough, and answers listener questions on topics ranging from career advice for software engineers to book arrangement tips, and also reacts to Ed Sheeran's approach to technology.