I am extremely excited to share that we will host a World Model research conference during #SFTechWeek Top list of speakers and panelists. Space is limited and registration requires approval. Can't make it in person? Comment below I will DM you zoom link

We hope to launch the Verification Age for video models: 50 scientists, 6 months, 100 rule-based verifiers, 300 new tasks, and a worked RL recipe. Coding models are advancing crazily thanks to the synthetic RL envs paradigms. Verification via codes or Lean gives models super-human math/coding intelligence like that in Astra and Fable. However, video models are still in the GPT-3 stage, where we just dump million hours video data into the model training and hope for magic. In this work, 1) we built 100 rule-based verifiers each paired with a synthetic data generators which give 10k+ diverse samples within the task domain 2) we made additional 300 tasks generators, including classic games i.e. Snake, Gold Miner, Mario, to further scale training data distribution with million samples rendered ready available on HuggingFace 3) ~60 experiments to find a worked RL recipe for video model post-training 4) comparison studies between image models, unified models, video models - which is the best model for visual thinking? 5) failure modes of how VLM-as-Judge will not satisfy video models RL in long term 6) interpretability studies show all image models, unified models, video models emerged "Schrödinger Effect", CoS reasoning through diffusion steps 7) many more insights A detailed thread [1/n]