{"games":[{"id":"lepong_v1","display_name":"LEPONG · v1 CNN-JEPA Pong","display_icon":"🏓","display_intro":"LEPONG is a 13M-parameter CNN-JEPA that watches Pong from pixels. Your tab trains the predictor — given a 3-frame embedding history, predict the next embedding so the state head can decode ball_y for the paddle target. Pure pixel input, no game state.","generation":1,"rounds":0,"connected":0,"paused":false},{"id":"silent_v1","display_name":"SILENT · v1 LeWM (mel-spec + ping)","display_icon":"🔊","display_intro":"SILENT is a predator-prey echolocation task: a ping action emits a sound, the world model learns from the mel-spectrogram what comes back. Your tab trains the JEPA that predicts the next mel-spec given the agent's move + ping action.","generation":2,"rounds":96,"connected":0,"paused":false},{"id":"v9_relay","display_name":"RELAY · v9 LeWM + DexWM head","display_icon":"🎯","display_intro":"RELAY is a contact task: an agent pushes a T-shape onto a target. Your tab trains a JEPA world model that predicts where the agent ends up given a thrust direction — pure pixel input, no simulator.","generation":1,"rounds":2,"connected":0,"paused":false}],"default":"v9_relay"}