Rohan Paul
@rohanpaul_ai
Agents learn from trial and error. The expensive part is the error.
A world model moves the error into simulation, which is the whole case for something like PAN 2.
This is a free, open "action-conditioned world model".
Takes an action you describe, and generates up to 20 seconds of video showing what would physically happen next. Its new trick is splitting the job in 2: a language model first works out the plot, then a 29B video model renders it.
