Our job is to build smart AI tools, but we can't predict where this technology will go; it's essential to admit that uncertainty.

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.

To navigate the fast-evolving AI landscape, startups should think from first principles about what the market will need in the long term, rather than just focusing on immediate needs.

Navigating the rapid changes in technology is a marathon, not a sprint; it's important to engage with AI daily and understand its implications for relevance in various fields.

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

Meta's ability to pivot and invest in new technologies, like mobile and AI, showcases the importance of having a founder who can make bold long-term decisions, despite occasional missteps.

The open-source ecosystem is evolving, and while we lead in this space, we must be cautious about relying on others to maintain the momentum we've built in open-source AI.

If we don't adapt the web to leverage AI effectively, we risk creating walled gardens instead of an open web that fosters creativity and innovation.

Every company feels the pressure to develop an AI strategy, similar to the past trends of needing a blockchain or mobile strategy, but it's crucial to ensure that the strategy is genuinely effective rather than just a checkbox exercise.