As we automate scientists and innovators, we may see rapid advancements in scientific research, but new bottlenecks will likely arise.

The potential for a future where AI enhances human life hinges on our ability to develop robotics and biological research effectively.

Humanoid robots are the dream, and while we've faced mechanical engineering challenges, I believe we'll achieve significant advancements in this area within the next 5 to 10 years.

We need to address the challenges of the Physical Turing Test, as current robotics struggle to perform tasks that humans can do effortlessly.

The bottleneck in robotics is not the hardware but the software intelligence that drives it.

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.

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.

In our projects, we aim to create products that are computationally, robotically, and materially novel, transitioning from traditional assembly to using robots and microbes.

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.