The excitement around AI innovations is palpable, and we should focus on building rather than restricting these advancements.

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

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.

The current landscape is not just about superficial AI applications; it's about genuinely solving customer problems in innovative ways.

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.

The vision behind creating AI technology is to enable others to harness it for value creation, rather than to dominate the startup landscape.

When consumers encounter limitations with AI, it reveals opportunities for developers to create solutions that meet those needs.

There are open platforms that the newest AI tools can exploit, suggesting potential opportunities for startups as larger companies struggle to regulate them.

There is a significant gap in the market for frameworks that clearly define how to scale and build AI agents, highlighting an opportunity for innovation.