Focusing on narrow problems and becoming the best at solving them is currently a successful strategy for AI companies, as seen with examples like Quandry and Expo.

Building a startup is not about building a product; it's about solving a problem.

The AI revolution is driven by individuals following their curiosity and building innovative solutions, even when initial attempts may not succeed.

The tech choices you make early on matter less if you can build a product that gains traction; successful companies often adapt their technology as they grow.

If you're building a startup in cutting-edge AI but haven't found the right idea yet, don't give up; your breakthrough could be just around the corner.

It's crucial for startup founders to build something with AI and to act quickly rather than getting bogged down in lengthy planning cycles.

Successful startup founders often have unique experiences from previous jobs that inform their ideas, as seen with the founder of Salient, who built an AI voice agent for loan processing based on insights from working at Tesla.

A key lesson from Artifact was that users won't adopt a product just because of the technology; it must also solve a real problem effectively from the start.

Instead of looking for a problem to solve with a technology like AI, you should fall in love with a real problem that people care about.