“The proposed alternative is JEPA, the joint-embedding predictive architecture. It has three parts: an encoder, a predictor and a planner. The encoder turns each frame of observation into a learned embedding, a compact ve”
There's a big debate in AI right now about what a world model should be. Most of the attention goes to generative world models, which predict the future by generating it, usually in pixels. Many scientists, including Yann LeCun, argue that this is wasted effort. Most of the pixels don't matter for deciding what to do, and many of them can't be predicted at all. [1] The proposed alternative is JEPA, the joint-embedding predictive architecture. It has three parts: an encoder, a predictor and a planner. The encoder tu
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