The historical analogy for AI is the transistor, which transformed society and quality of life significantly over a short period.

The current AI boom is largely due to the Transformer architecture, and I believe there will be future breakthroughs of similar significance, though I can't predict them.

The emergence of specialized AI models will enable new applications to thrive, similar to how JavaScript transformed web browsers by allowing for more dynamic functionalities.

The evolution of AI interfaces is reshaping software design, similar to how touch interfaces transformed technology a decade ago, creating endless opportunities for innovation.

The real transformative AI applications will emerge in the coming years, similar to how the App Store evolved post-iPhone launch.

Computer use represents a significant advancement for AI, allowing models to adapt to tools rather than requiring developers to create custom environments for each task.

Despite their limitations, modern AI systems are groundbreaking in computing, transforming how we interact with technology and programming.

Young users treat AI like an operating system, using it in complex ways to connect files and automate tasks, while older users often see it as a Google replacement, which is impressive and indicative of future trends.

We're in an interesting time where the capabilities of AI models are far ahead of the products people have built. There's a huge opportunity for new innovations, especially as the cost of AI continues to decrease dramatically.