I feel somewhat confused about receiving the Nobel Prize for my work in AI, as the contributions that led to the award were not the ones that directly resulted in the current successful AI systems.

Winning the Fields Medal can make a mathematician part of the establishment, leading to increased expectations and responsibilities, which can constrain their freedom to explore and innovate.

The Institute for Advanced Study often keeps talented individuals from exploring new ideas, as they tend to focus on past successes rather than new challenges.

While the Fields Medal can inspire young mathematicians, it's important to respect those like Grigori Perelman, who prioritize their principles over recognition and awards.

The 'Matthew Effect' suggests that once you become famous in science, it's easier to remain famous, while those who are not famous risk losing recognition and opportunities.

The most famous people in history often earned their fame by doing good for their communities or transcending the self, rather than seeking fame for its own sake.

The narrative around innovators often overlooks the years of hard work they put in, focusing instead on moments of sudden inspiration, but true innovation typically requires sustained effort and a willingness to defer gratification.

Scientists often believe they will be rewarded for their inventions, but the reality is that they frequently do not capture any financial value from their work.

Fame should be pursued as a byproduct of doing something worthwhile, rather than for its own sake. Craving fame for fame's sake can lead to traps and hollow recognition.