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Six post-TGE AI plays to watch: TAO, NEAR, TIG, IO, NIL, CODEC

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Describes six live AI tokens without Kaito leaderboards: Bittensor subnets as digital commodity markets, NEAR as AI-native L1, TIG for algorithm IP co-ownership, io.net GPU clustering, Nillion blind compute and Codec's VLA framework.

Key claims
TIG accrues value via IP co-ownership of breakout algorithms
Nillion starts with private model training and inference
Top six post-TGE AI plays without a @KaitoAI leaderboard (except of NEAR which actually does) that you should still pay attention to: - @opentensor / $TAO (decentralized network that allows to train machine learning and AI models collaboratively as miners compete for TAO rewards by achieving best model performance. Home to a thriving ecosystem of subnets with their own tokens as well that are specialized on all sorts of "digital commodities", incl. compute, storage, forecasting, etc.) - @nearprotocol / $NEAR (AI native high-performance blockchain with sub-second finality, and all infra and tooling that AI apps or agents require tho thrive, incl. DCML, AITP, the NEAR AI hub, chain-abstracted accounts and NEAR intents for multichain functionality) - @tigfoundation / $TIG (decentralized network built for algorithmic innovation, following a similar conceptual approach as Bittensor. Unique in how it turns algos into a publicly investible asset class, and accrues value back to TIG via IP co-ownership for breakout algos created on the platform) - @ionet / $IO (decentralized GPU network that allows for geo-distributed clustering of otherwise idle compute resources at global scale, addressing the global GPU shortage and insatiable demand of an AI industry in hyper-growth) - @nillion / $NIL (blind compute network that will serve as a coordination & orchestration layer for privacy preserving technologies like MPC, FHE, ZK or TEEs, with its purpose-built MPC scheme for data storage, and enabling private model training & inference first up) - @codecopenflow / $CODEC (framework to build operators powered by Vision-Language-Action (VLA) models that are able to autonomously control apps, systems, and even machines/robotics. It's the defacto infra layer that connects models and hardware, and comes with a marketplace where users can create, share, and monetize these intelligent automation agents, compute aggregation tech, and much more) Highly recommended to DYOR anons.
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Top six pre-TGE AI plays with live @KaitoAI leaderboards you should watch, DYOR on and start yapping about: - @AlloraNetwork (open ML network focused on predictive intelligence that will power the next generation of autonomous DeFAI agents) - @OpenledgerHQ (AI-native infra layer
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