My general framework from government is that it has limitations. At its best, government can set the right policy, especially with great leaders. However, you still need the private sector as a partner to provide expertise, technical knowledge, project management capabilities, and capital. They also need local navigation skills. If you only have three out of those four elements, it's a recipe for disaster. The private sector isn't always organized in a way that governments need to achieve their ambitions. But if you can combine these elements effectively, there's amazing potential for what can be achieved.

We can frame this in high-level philosophical goals, such as accelerating scientific progress. While that may not be tangible for everyone, the most important thing is that science operates in the real world. Unlike AI research, which moves quickly through GPU iterations, real-world science requires physical manipulation. We must move atoms and transfer liquids from tube to tube to create life-changing medicines. These processes occur in real-time, involving the growth of cells, tissues, and animals. The promise of applying machine learning to biology is the ability to massively accelerate and parallelize these efforts.

It's significantly more valuable. Webflow observed a six times higher conversion rate from LM Traffic compared to Google search traffic.