A few months ago, I wrote about the robotics “bubble” because I felt the industry was becoming too focused on technical breakthroughs while overlooking a basic business reality. Ultimately, the technology has to create real value for customers. Today, I’m seeing growing excitement around the idea that robotics may finally be entering its “GPT-3 moment.” I really do think there’s something very real behind this shift, and I’m genuinely happy to see the progress. At Dyna, we’ve been investing heavily in teachability because we believe it’s one of the key milestones for making robotics truly scalable. But for us, deployment is the ruler. Real-world use cases tell us whether what we’re building is actually working, and often expose assumptions in the previous solution that need to be rethought. We saw this directly with Dyna-2. Techniques that worked at 100,000 hours of data often needed to change as we pushed toward 1,000,000. New bottlenecks appeared and sometimes changed what we should optimize for even at the foundational level. That’s why research and deployment have to move together. Research pushes what’s possible. Deployment tells us what actually matters and where to push next. To me, that’s what a real “GPT-3 moment” means in robotics. It is not just about better models, but about building a loop that turns technical progress into real-world value and eventually real scale. Without stepping into real deployments, that signal can be too weak, and it becomes easy to mistake progress for readiness. We’ll be sharing more very soon about how foundational research, together with everything it takes beyond the model, is turning into real deployment and business impact. Stay tuned.