Very happy to have Box sign this letter. We’re big believers in the power of open weights AI. Open weights models help to drive the industry forward in a variety of ways to ensure more innovation, creativity, and diffusion of AI. You get to have layers of the stack that emerge to post train models for highly specific purposes, which makes AI more useful in real world scenarios. Instead of waiting for just a few players to go deep in a domain, you get dozens or hundreds of attempts at that vertical, like in finance, life sciences, legal, healthcare, and more. You get to see variance in how to handle safety and cyber risks. Instead of just one approach, you get a peek into what happens advanced capabilities can be used to build better systems to are used to defend systems. You get alternative approaches to training and building AI models. In more compute constrained environments, you develop more novel and efficient approaches to model training, which every other lab can learn from. And you get different cost structures for different workloads. High end and orchestration tasks can go to the closed frontier models and specific workhorse tasks can be done more cheaply. Open vs. closed is not a zero sum battle. The reason why you want strong open weights models is because it pushes the entire AI industry forward.