As AI continues to evolve, we will need to adapt and learn how to apply our intelligence in new ways, similar to how society adapted to past technological changes.

We're entering the 'era of experience' where AI systems learn from their own interactions with the world, rather than relying solely on human data.

AI is becoming an extension of ourselves, learning from our interactions over time to help us achieve our best.

Human data might provide a head start for AI, but sustainable progress will depend on reinforcement learning as a continuous source of experience.

As AI systems evolve, they will need to learn from human interactions to improve personalization and effectiveness, which will be crucial for future applications.

The AI models we are developing are inspired by the human brain, utilizing similar learning techniques to understand and replicate intelligence.

One of the next steps in AI development is to allow it time to think, plan, and explore options just as a human would.

As AI evolves, we need to shift from static benchmarks to real-time evaluation systems that can adapt to user feedback.

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.