TensorCash

A layer-1 blockchain whose proof-of-work is verifiable AI inference.

Don't trust the provider. Verify the machine.

Website · Verifier (GitHub) · Whitepapers · Blog

What is TensorCash?

Most AI runs behind a black box: you send a prompt, tokens come back, and you have no way to check which model produced them — or whether the work was really done. TensorCash makes model execution checkable. Every generation on the network emits a compact, replayable proof of inference — the chosen tokens, the sampler draws, and the top-of-distribution logits, bound together so anyone can re-run the claimed model and confirm the output is genuine. The same proof doubles as the chain's proof-of-work: the mining puzzle is real inference, not wasted hashing.

On Hugging Face

• 🔍 verify-proof-of-inference — browse released proofs and see, side by side, the full GPU-replay verdict, a local CPU transcript self-check, and the cheap distributional screen. It shows exactly why a cheap screen isn't enough.
• 📊 proof-of-inference-eval — a byte-exact corpus of honest and forged proofs (cross-architecture substitution, same-architecture fine-tune, and 4-bit quantization) with full methodology, so you can reproduce the detection results yourself.

In live GPU teacher-forced replay, full verification accepted honest proofs with zero false-rejects and detected 100% of all three forgery classes — while a cheap distributional screen misses same-architecture fine-tunes and quantization. Per-token replay is the decisive check.

Build & verify

• Run your own verifier — walkthrough
• Read the method — Verifiable Inference