There are many open questions regarding the nature of intelligence and how to effectively utilize computing power to achieve human-level AI.

Artificial intelligence is today just outside of our understanding, and we have to reach for it to uncover the mysteries of the human mind and build human-level and superhuman-level AI systems that transform our world for the better.

To achieve superhuman intelligence, we may need to step away from relying solely on human data in AI development.

It's challenging to comprehend how much smarter future AI systems will be compared to humans, as we may not fully grasp their capabilities until they are developed.

Understanding AGI is challenging because we don't fully comprehend human intelligence or how it works.

We've shown that we can reach high levels of intellectual complexity in tasks, but we haven't yet demonstrated long-running agentic performance in AI systems.

AI systems can be tricked, similar to humans, and as we advance in unsupervised learning, we may develop systems that achieve a level of conceptual understanding.

We're on the pathway to AI being able to design chips better than humans, which could eliminate bottlenecks in achieving greater intelligence.

We're quite close to achieving human-level general intelligence, possibly closer than people thought a couple of years ago, and it's going to have a broad impact.