The trajectory of AI development is likely to mirror the internet's evolution, where initially, building a single app seemed daunting, but new applications emerged that didn't rely on existing platforms.

The most compelling generative AI applications will emerge from innovative uses of technology that differ from traditional software applications, creating new business opportunities.

The apps that will matter in the AI landscape are likely to be those that don't exist yet, just as the internet gave rise to entirely new applications.

The rise of generative AI presents opportunities to create deep, complex applications that can provide long-term value, unlike simpler applications that may not be defensible in the long run.

We were inspired by the success of GitHub Copilot, which demonstrated that useful AI products could be created, motivating us to pursue our own ambitious ideas in AI.

The rise of generative AI platforms is similar to the early days of machine learning, where centralized tooling is necessary for scaling and managing resources effectively.

The real transformative AI applications will emerge in the coming years, similar to how the App Store evolved post-iPhone launch.

The next priority for us is AI, as the world is being completely overhauled by it, and we need to create our own AI innovations that align with our strengths in front-end and design.

Generative AI is an exciting new area that is currently smaller in scale but is expected to grow significantly in the next few years due to increased developer interest and venture capital investments.