Preparing the next generation for AI involves teaching them the process of learning and encouraging them to have ideas and projects.

To advance AI, systems need to understand the physical world, have persistent memory, and be capable of reasoning and planning.

The next major challenge in AI is teaching systems to reason and improve their performance through continuous thinking and learning.

We are also exploring AI's ability to learn quickly from prior experiences, similar to how humans adapt to new games or tasks.

The future of AI may involve models that can learn and adapt through self-play in a sandbox environment, leading to significant advancements in reasoning and task execution, and the aha moment will be when AI can create something that's not good, like a product or a song, and it learns how to navigate the web and gain real engagement on social media.

The next step for AI models like 'o1' is to enhance interpretability, allowing users to edit and direct the reasoning process more effectively.

The o1 model's ability to reason and learn from feedback on its processes is a step towards teaching AI to think more like humans, rather than just providing correct answers.

The ability to allow AI models to reason for extended periods, rather than just providing quick answers, can lead to significantly better outcomes for complex questions.

There are numerous adjacent possibilities in AI development, akin to walking into a room with many doors to explore.