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There's a quadrillion-dollar question at the heart of AI: Why are humans so much more sample efficient compared to LLM? There are three possible answers:1. Architecture and hyperparameters (aka transformer vs whatever ‘algo’ cortical columns are implementing)2. Learning rule (backprop vs whatever brain is doing)3. Reward function@AdamMarblestone believes the answer is the reward function.ML likes to use pretty simple loss functions, like cross-entropy. These are easy to work with.But they might
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