Enterprise applications often require a deep understanding of specific business contexts, which is where startups can find opportunities that larger labs may overlook.

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 new technology of large language models is creating unprecedented opportunities for startups, enabling tasks that previously required extensive research teams to be accomplished more easily.

The forward deployed engineer model allows startups to close significant deals with large enterprises by demonstrating innovative solutions that meet customer needs.

Startups should focus on building valuable but less glamorous products that larger companies like OpenAI won't prioritize.

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

OpenAI aims to create general-purpose foundational models, but individual businesses often need models tailored to specific problems, creating a misalignment of incentives.

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

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.