The better the AI models become, the more opportunities there are for startups to leverage these advancements. Startups need to be proactive in building their products in anticipation of new model releases rather than reacting to them.

Startups should begin with the best AI model available to ensure success, as leveraging cutting-edge technology is essential for gaining a competitive edge in the market.

As AI models improve, startups can benefit from easier integration and better outputs, such as structured data formats like JSON, which can enhance application development.

The intelligence of AI models is becoming a commodity, and companies need to adapt by focusing on delivering software that solves real-world problems.

As intelligence becomes a commodity, startups need to consider how much software is necessary on top of their value proposition to remain competitive.

As AI models become more deterministic and accurate, founders can focus more on improving user experience and customer relationships rather than troubleshooting AI outputs.

The emergence of multiple AI models reduces the risk of monopolies, allowing startups to thrive in a competitive marketplace.

Startups should focus on building the best products on top of existing AI models, as competition will come from other startups rather than the AI giants themselves.

As AI and large language models evolve, startups may need to hire more software engineers who understand these technologies to automate processes and drive growth post-product market fit.