The future of AI will involve not just bits of information but also AI that interacts with the physical world, like autonomous vehicles and humanoid robots.

The next significant shift in AI will occur when it translates into robotics, creating a new dynamic in how we interact with technology.

The development of a 'world model' in AI, which understands 3D physical reality, could solve fundamental challenges in robotics, enabling machines to navigate complex environments safely.

AI technologies that understand physical laws will lead to breakthroughs in robotics and manufacturing, significantly impacting various industries.

Robotics is progressing rapidly, and with the integration of AI, we can expect robots to communicate and interact with humans more effectively.

For robotics to work effectively, it needs to understand the physical environment around it, which is a significant challenge that has historically held back progress.

AI applications that ingest real-world sensor data and robotics are crucial building blocks for achieving physical AI, which is essential for developing engineering AGI.

The future of robotics may hinge on the ability to separate AI software from hardware, allowing startups to focus on developing intelligent systems that can operate on standard hardware.

The future of AI will involve creating robots that can perform real work in the real world. We're getting closer to a time when humanoid robots will be able to automate various tasks effectively.