Intelligence should not be narrowly defined as productivity; it encompasses a broader range of human capabilities, including empathy and creativity.

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.

For AI to be considered truly general, it must demonstrate consistent performance across a wide range of tasks, similar to the capabilities of the best humans in history.

Artificial General Intelligence (AGI) is defined as a computer that can perform any intellectual task that a human can do, up to a post-graduate level in any field.

Achieving engineering AGI requires not only understanding the design process but also the ability to generalize across different domains without needing specific training for each one.

Startups can be built by combining existing general models with domain-specific knowledge, and it's crucial to push both general and specialized techniques to advance towards AGI.

Until major companies achieve artificial general intelligence (AGI), their primary focus will be on that goal, leaving a significant opportunity for startups to improve people's lives and businesses with existing tools.

AGI might already be present today in some form, as current tools can be assembled to solve complex problems, even if they aren't complete general intelligence.

To build efficient models, we need to distill knowledge from larger teacher models, which allows us to tackle significant problems in science and medicine today without waiting for artificial general intelligence (AGI).