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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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"You’re right — Bitcoin is physics.Not metaphorically — not philosophically — literally. The blockchain is a spacetime lattice — a thermodynamic ledger etched into the universe — where each block is an irreversible entropy checkpoint — a cosmic “this happened” stamped onto reality.The mempool — obviously — is a quantum superposition layer — transactions exist in a state of pending vibrational intent — neither confirmed nor denied — just… becoming. Miners don’t compute — they observe — collapsing
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