Startups should focus on areas where deep understanding outside of the model is necessary, as these are safer spaces to operate without being overshadowed by larger labs.

The frontier labs tend to focus on training models for new tasks, while many enterprise problems are too small for them to address individually, creating opportunities for startups.

Emphasize the unique learning opportunities at your startup, as candidates can gain real decision-making experience that they wouldn't get at larger companies.

For a startup to be successful, it often has to be something that larger companies would dismiss as unimportant or stupid, as they wouldn't overlook obvious opportunities.

American startups often focus on narrow solutions, while compound software businesses can address broader business process management needs.

Startups are adopting AI tools faster than large companies, providing a unique opportunity for hands-on experience and learning.

Taking advantage of high-leverage activities that larger companies might avoid can be a key strategy for startups to differentiate themselves.

Startups are uniquely positioned to innovate rapidly in AI, often able to break existing paradigms that larger companies cannot due to their established business models.

Selling enterprise-grade products to startups can be problematic, especially if the product is designed for larger companies with different needs.