Own Your Mind

OriginTrail is the quiet achiever of DeAI, a decentralised knowledge-graph protocol turning data into verifiable assets for AI and enterprise. It grades C on freedom and C on returns. We cover the knowledge graph, arguably the best tokenomics in the sector, and whether provenance is a real AI use case.

Nillion has the right thesis, that AI needs privacy-preserving computation, built on multi-party computation and secure enclaves. It grades C on freedom and D on returns. We cover blind compute, the completed migration to Ethereum, and whether it can scale to real workloads after a rocky market-maker episode.

Vana is arguably the most technically complete data-sovereignty protocol in crypto, where users contribute personal data to DataDAOs and earn from AI training. It grades C on freedom and C on returns. We cover the data-DAO model, the permissioned validators, and whether users can really monetise their own training data.

Theta is enterprise-backed decentralised cloud with Google, Samsung, and Sony among its validators. It grades C on freedom and D on returns. We cover the edge-compute pivot, and THETA's fundamental value-accrual problem: the fees flow to its TFUEL gas token, not THETA.

NEAR has the strongest AI credentials of any Layer-1 founder, a co-author of the transformer paper, on a proven sharded chain with real cross-chain traction through Intents. It grades C on freedom and B on returns. We cover the sharding, the AI roadmap, the activated fee switch, and whether the infrastructure thesis holds.

Oasis is a privacy-first L1 with confidential smart contracts, finally shipping product like off-chain compute mainnet and an institutional pilot. It grades C on freedom and D on returns. We cover the Sapphire ParaTime, ROSE tokenomics, and why AI is now a strategic focus.

The 5-level privacy spectrum for AI inference. Anonymisation vs confidentiality. What Venice actually delivers, what Morpheus TEE integration means, and how to choose private inference.

ElizaOS built the open-source AI agent codebase other projects wish they had and a token nobody can value. Virtuals built strong token mechanics on a centralised inference engine. Same agent category, opposite trade-offs.

There is no RENDER staking. What actually exists: GPU node operation, availability rewards, burn-mint emissions, and the honest economics of providing compute to the Render Network.

Phala is a confidential-computing cloud built on hardware secure enclaves, with enterprise compliance credentials. It grades C on freedom and D on returns. We cover how the enclaves keep data private even from the provider, the private-inference tie-in, and what still has to scale.