"We spent a lot of time trying to understand what GPT-4 is capable of,” Brockman said. “Getting it out in the world is how we learn. We’re constantly making updates, include a bunch of improvements, so that the model is much more scalable to whatever personality or sort of mode you want it to be in. There’s policy issues like facial recognition and how to treat images of people that we need to address and work through. We need to figure out, like, where the sort of danger zones are — where the red lines are — and then clarify that over time."