> We’ve trained GPT‑6 to compose responses using text, visuals and interactive elements, choosing how they fit together based on your question.

Ok so this is how you build a moat. Models are not a commodity and visualization isnt a purely harness problem.

> We expanded our training methods to help the model make thoughtful decisions about content, layout, visuals, and interaction. This included evaluating the interfaces it creates for clarity, usefulness, and completeness. GPT‑6 learned to use the component library and make good design decisions, including how to organize information clearly, when to use interactivity, and when a simple text response is enough.

Curious to know how they trained it produce appropriate visuals. And why that cant be done with propmt engineering.

Nope