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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 the TribeWarez monorepo)
  • 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

Ecosystem ​

  • Hugging Face — Tribewarez org publishes PoT-O models (pot-o-22-slim, pot-o-pathfinder-tiny-v1, etc.), synthetic challenge datasets, and distillation Spaces. See the full HF catalog.
  • crates.io — Core Rust crates are published: pot-o-core (tensor engine, challenge verification, MML validation) and ai3-lib (neural path matching, tensor ops). See the Crates & API page.

TribeWarez Blockchain Ecosystem

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