Sherpa generates full seasons of 200-800 coherent episodes from one premise
Sherpa, trained on 5.5 billion minutes of viewing data, takes a single premise and builds a full season where characters and plot threads stay coherent across 200 to 800 episodes.
Storytelling is finally solved. Neither ChatGPT nor Claude could solve it because it required long-horizon consistency, and they would just hallucinate consistently. Sherpa has data on 5.5 billion minutes, which gives it the edge of knowing: > where the audience gets hooked > how much surprise each episode can handle > which twist to hold back, and for how long > and where the audience drops off You give it one premise, and it builds a full season where characters, plot threads, and open conflicts stay coherent across 200 to 800 episodes.
This post quotes another post: x.com/i/web/status/2101019876269973593