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.

New AI models are unlocking startup opportunities in fields like engineering, where they can significantly improve productivity and innovation.

The ability to prompt AI effectively is crucial, as it determines the quality of the output, which is a reflection of agency and taste in AI development.

An iterative approach is essential in working with AI; continuously debugging and refining prompts can lead to more reliable outcomes.

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.

As AI models improve, the expectation is that they will converge in quality and pricing, making it essential for startups to build software that leverages this intelligence effectively.

Developer tools for prompt engineering are gaining traction, allowing users to chain prompts and test their effectiveness, which is appealing to college students experimenting with AI.

To succeed in AI, startups should focus on vertical-specific and function-specific solutions that address complex problems requiring human involvement.

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.