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Proof of Tensor Optimizations (PoT-O)

PoT-O is an upgraded Proof-of-Work concept where, instead of validating SHA-256 hashes, the proof demonstrates that a miner found an optimal tensor transformation path for a given challenge.

Why PoT-O?

Traditional PoW wastes energy on cryptographic hash puzzles with no useful output. PoT-O replaces this with tensor computations that:

  1. Produce useful work -- matrix multiplications, convolutions, and activation functions that mirror real AI inference tasks.
  2. Validate optimality -- proofs must demonstrate Minimum Message Length (MML) compression efficiency, not just brute-force hash collisions.
  3. Match neural paths -- the activation pattern through a feedforward network must match an expected signature, proving the miner executed the correct computational path.

Core Components

  • Challenge Generator -- derives deterministic tensor tasks from Solana slot hashes
  • AI3 Tensor Engine -- executes matrix ops, convolutions, and activations (ported from .AI3)
  • MML Path Validator -- verifies Kolmogorov/compression optimality
  • Neural Path Validator -- verifies activation pattern matching
  • On-chain Program -- Solana Anchor program for proof verification and reward distribution

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