Where AI and Crypto Actually Intersect

What you'll learn

• Two Hype Waves That Actually Overlap
• Data Networks: Paying for the Inputs
• Decentralized Compute: GPU Rental Markets
• Training Markets and Inference Networks
• Agents and Verifiable ML
• The Grift Filter

Key terms

Foundation model

A large-scale machine learning model (e.g., GPT-4o, Claude Opus 4.7, Gemini 2.5, Llama 4) trained on broad data, intended to be adapted to many downstream tasks rather than serving one narrow purpose.

Decentralized compute

A token-coordinated marketplace that aggregates GPU or CPU capacity from independent providers and sells access to it, competing with hyperscaler clouds. Examples: Akash, io.net, Render, Aethir.

Bittensor (TAO)

A protocol coordinating 64+ specialized subnets, each running an ML task; miners produce outputs, validators score them, and the Yuma consensus mechanism distributes TAO token emissions accordingly.

Agent wallet

A crypto wallet held and operated by an AI agent — typically an LLM with tools — that pays for services, holds tokens, and transacts without constant human approval. Key custody is often delegated to a custodial service like Privy or Coinbase CDP.

Verifiable ML

A class of techniques that cryptographically prove a specific machine-learning output was produced by a specific model with specific inputs. Implemented via zkML (SNARK/STARK proofs) or opML (optimistic challenge windows).

zkML

Zero-knowledge machine learning. Uses zero-knowledge proofs (typically Halo2 SNARKs or StarkNet STARKs) to verify the correctness of an ML inference cryptographically. Has 1000x-10000x performance overhead today.

opML

Optimistic machine learning. Assumes an ML output is honest unless challenged during a window, similar to optimistic rollups. Faster than zkML but introduces a trust/challenge model.

Data DAO

A user-owned cooperative that pools its members' data (e.g., browser history, ChatGPT exports, fitness data) and tokenizes access to it. Vana is the highest-profile example.

Yuma consensus

Bittensor's mechanism for distributing TAO rewards. Validators score miners' outputs; the Yuma algorithm weights miners by the consensus of all validators, rewarding both honest miners and honest validators.

Eliza framework

An open-source agent framework backed by the ai16z DAO, used to build AI agents that hold wallets, post to social media, and trade onchain. Released 2024.