The transparency and high leverage of open-source models will lead future generations to prefer creating open-source solutions over closed-source ones, as they grow up learning about state-of-the-art machine learning.

The future of operating systems may involve less traditional code, relying more on generative models that blur the lines between deterministic and non-deterministic systems.

The transition to new computing architectures is ongoing, and we are in the early stages of blending different types of software for future applications.

In 2024, we have personal software that allows anyone to build applications quickly, similar to how the Mac democratized personal computing in 1984.

The building block for the next generation of applications is data, which will differentiate future technologies just as code did in the past.

The future of computing will involve stylish glasses that people want to wear, leading to a diverse ecosystem of designs and functionalities.

The open-source strategy is a good business strategy, as it fosters a robust ecosystem that enhances the quality of the products we build.

Windows is evolving to be the best platform for AI, with new features and capabilities that support a wide range of applications.

The open-source ecosystem is evolving, and while we lead in this space, we must be cautious about relying on others to maintain the momentum we've built in open-source AI.