In a world with AI, we need hardware and software that are more aware of their environment and can interact in ways beyond just typing and screens.

We're on the pathway to AI being able to design chips better than humans, which could eliminate bottlenecks in achieving greater intelligence.

In the future, as AI tools proliferate, the obsession with creating excellent products will still require a human touch, as programming an AI to have that level of dedication is a significant challenge.

To advance AI, we need to focus on building infrastructure that can handle edge cases, similar to the journey of self-driving cars, which have taken years to develop due to the complexities involved.

The next priority for us is AI, as the world is being completely overhauled by it, and we need to create our own AI innovations that align with our strengths in front-end and design.

What you want out of hardware and software is changing quite rapidly, and if people knew what we could do with more compute, they would want way, way more.

The future of computing will involve asynchronous workloads where AI systems perform extensive research before returning results, necessitating robust infrastructure to handle increased loads.

We're using outdated software development techniques to build AI features, which prevents us from fully leveraging AI's potential.

Building good products on top of AI models is incredibly difficult.