Wet lab experiments are slow and expensive, forcing scientists to pursue safer, incremental hypotheses. AI models can computationally test riskier, 'home run' ideas before committing lab resources. This de-risking makes scientists less hesitant to explore breakthrough concepts that could accelerate the field.

When facing ambiguity, the best strategy is not to wait for perfect information but to engage in "sense-making." This involves taking small, strategic actions, gathering data from them, and progressively building an understanding of the situation, rather than being paralyzed by analysis.

Drawing from Leonardo da Vinci, Nike's innovation philosophy combines "sfumato" (a mad scientist's willingness to fail) and "arte de science" (logical, scientific thinking). The fusion of these two opposing mindsets creates a "calculated risk"—the essential ingredient for meaningful breakthroughs.

Foster a culture of experimentation by reframing failure. A test where the hypothesis is disproven is just as valuable as a 'win' because it provides crucial user insights. The program's success should be measured by the quantity of quality tests run, not the percentage of successful hypotheses.

The more people learn about a subject, the more they realize how much they don't know. This contradicts the idea that expertise leads to arrogance. Novices, who are unaware of a field's complexity, are often the most overconfident.

True growth and access to high-level opportunities come not from feigning knowledge, but from openly admitting ignorance. This vulnerability invites mentorship and opens doors to conversations where real learning occurs, especially in complex fields like investing, which may otherwise seem like a "scam."

Entrepreneurs often view early mistakes as regrettable detours to be avoided. The proper framing is to see them as necessary, unskippable steps in development. Every fumble, pivot, and moment of uncertainty is essential preparation for what's next, transforming regret into an appreciation for the journey itself.

Moving from science to investing requires a critical mindset shift. Science seeks objective, repeatable truths, while investing involves making judgments about an unknowable future. Successful investors must use quantitative models as guides for judgment, not as sources of definitive answers.

Physicist Brian Cox's most-cited paper explored what physics would look like without the Higgs boson. The subsequent discovery of the Higgs proved the paper's premise wrong, yet it remains highly cited for the novel detection techniques it developed. This illustrates that the value of scientific work often lies in its methodology and exploratory rigor, not just its ultimate conclusion.