Founders may avoid researching their ideas because they fear that learning about past failures will dampen their enthusiasm for their own projects.

The fear of apocalyptic consequences from scientific endeavors and a desire to escape into abstraction have contributed to this stagnation.

Founders fail when they don't try enough things, often getting stuck doing the same thing repeatedly without abandoning proven false hypotheses.

The stagnation in scientific advancement since the 1970s may stem from cultural factors, including a risk-averse mindset and a lack of new ideas.

Dogma and ideology can limit our thinking and innovation; escaping them is crucial to discovering missed opportunities.

People often overlook the benefits of innovation by focusing solely on existing problems, which can hinder progress and optimism.

A history of failure in certain industries discourages innovation, while success in software encourages more people to enter that field, creating a cycle of innovation.

People are trained in school to accomplish specific tasks rather than develop opinions, which can hinder their ability to innovate in startups.

Scientific progress is often hindered not by a lack of new ideas, but by the slow and expensive process of testing those ideas in the lab. My focus is on how AI can replace or minimize the need for these lab experiments.