Bittensor (TAO)

This @verathos_ai article is one of the clearest pieces I’ve read on why decentralized AI has struggled and why verification changes everything.

Without cryptographic proof that the actual model ran the actual computation, the incentive system naturally breaks.

Honest operators can lose to those taking shortcuts because the network has no reliable way to separate real work from fake work. That’s why idle GPUs stay idle and decentralized compute has struggled to reach its full potential.

Verathos(SN96) approaches this problem from the foundation.

They use inline sumcheck proofs during vLLM serving with single digit overhead, Merkle committed weights on chain, and validators that can verify proofs on normal CPUs within milliseconds.

No enclaves. No heavy zkML setup. Just math that works on real consumer and data center hardware.

This is what makes untrusted compute on Bittensor SN96 interesting.

Once you can prove the work, you can finally reward it properly. That opens the door for things like mesh infe