<ul><li>Researchers propose a design called Proof of Gradient Optimization (PoGO) for blockchain consensus.</li><li>PoGO involves miners producing verifiable evidence of training large-scale machine-learning models.</li><li>The design incorporates quantized gradients to reduce storage and computation requirements while enabling verification of real progress in lowering the model's loss.</li><li>The system employs Merkle proofs over the full 32-bit model and allows verifiers to issue positive or negative attestations.</li></ul>

PoGO: A Scalable Proof of Useful Work via Quantized Gradient Descent and Merkle Proofs

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