The hype around AI often leads to two sides of the debate: some believe it's overhyped while others think it's underhyped.

One overhyped aspect of AI agents is their perceived capabilities, while the underhyped aspects include the importance of understanding when and how to use them effectively in production, as well as how they can save people time by automating tasks that take only a minute, significantly changing dynamics and allowing you to perform those tasks many more times than before.

While many view AI primarily through the lens of ChatGPT, I believe AI is underhyped because the advancements in reinforcement learning since then have been extraordinary, enabling complex planning capabilities.

While AI is incredibly useful, it still requires human oversight for critical tasks due to its tendency to make errors.

The pace of AI improvement is unprecedented, outpacing previous technological advancements like cloud computing and processors, surprising even those within the tech industry.

I am excited to see how AI evolves, but I won't put a timeline on when we will reach a point where AI surpasses human capabilities in all areas.

The AI hype cycle is not about AI having zero value; it's about the reaction to fluctuating prices and the sustainability of current investments in AI.

The expectation versus reality of AI adoption is often skewed; while expectations are high, the actual capabilities of current models may not meet those expectations, leading to a rapid adjustment in perception as models improve.

The historical pattern of AI development shows that overhyped moments can lead to periods of stagnation or 'AI winters' when expectations exceed the technology's capabilities.