Many startups are still unaware of the transformative potential of AI, with only a few exploring its capabilities deeply within their organizations.

Tool use and function calls represent a new frontier in AI development, with significant progress made recently, but there's still much more to explore.

We're in an interesting time where the capabilities of AI models are far ahead of the products people have built. There's a huge opportunity for new innovations, especially as the cost of AI continues to decrease dramatically.

AI as a general-purpose technology presents numerous opportunities, and our focus should be on building concrete use cases to harness its potential effectively.

Many startups are focusing on selling tools for AI applications, but the reality is that many potential customers are still figuring out how to effectively use AI, leading to a disconnect between product offerings and actual market needs.

There's a lot of excitement around AI agents, but many people are unsure of their practical applications, often trying to apply them to problems that simpler solutions could address.

Innovations in AI take time to develop and often require entrepreneurs to build upon initial ideas, as many use cases have yet to be invented.

While AI has been discussed for many years, its adoption outside consumer software remains limited, with most value still concentrated in areas like advertising and web search.

There's a significant amount of ongoing research and pilot projects in AI for healthcare, but many technologies have not yet been widely rolled out due to issues of interpretability and fairness that need to be addressed first.