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.

TAO is the token. Subnets are the business. Which Bittensor subnets earn revenue from paying customers, which ones are farming emissions, and how to tell the difference. Chutes, Gradients, Templar and the Rayon Labs concentration question.

Akash's BME activation changes everything for AKT holders. How burn-mint works, the Render comparison, what the first week of metrics tells us, and whether BME fixes AKT's inflation problem.

Ocean pioneered decentralised data markets, and its Compute-to-Data model remains one of the most elegant privacy solutions in Web3. It grades C on freedom and F on returns. We cover data tokens, compute-to-data, the ASI Alliance merger terms, and a Foundation that says the token has no intended utility.