Gud point here by @mtorygreen. Think generally, many don't (yet) understand how big and diverse the DeAI stack actually is. Wondering what I mean? 1 ) Application/UX Layer: @Infinit_Labs (agentic UX layer + strategy market) @AIWayfinder (agent-driven UX automation) @HeyAnonai (AI-driven DeFAI platform) +++ 2 ) AI Agent Infra Layers & Frameworks @TalusNetwork (onchain coordination hub for AI agents) @TheoriqAI (swarm coordination framework) @Spectral_Labs (intelligent onchain agents) @gizatechxyz (non-custodial algorithmic agents) +++ 3 ) AI-native Execution Layers @NEARProtocol (AI-native high-performance blockchain) @wardenprotocol (intelligent apps with native AI integrations) @ritualnet (sovereign chain for AI) +++ 4 ) Inference & Open Intelligence Layers: @opentensor (darwinian AI network) @AlloraNetwork (self-improving ML network) @SentientAGI (open-source AGI) @Fetch_ai (world’s first Web3 LLM) +++ 5 ) Data Collection + Marketplace Layer: @OpenledgerHQ (attributable data market + SLM finetuning) @oceanprotocol (tokenized data market for AI) @Hivemapper (decentralized map data) @grass (data collection incentive infra) @vana (open network for data sovereignty) +++ 6 ) GPU/Compute Layer: @ionet (largest decentralized GPU aggregator) @akashnet_ (decentralized compute network) @AethirCloud (decentralized compute network) @theblessnetwork (edge compute network) +++ 7 ) Privacy Layer: @ArciumHQ (High-performance, parallelized MPC network) @nillionnetwork (MPC-powered AI inference focused blind compute) @zama_fhe (leader in the FHE game, co-processor network coming) @inconetwork (modular privacy layer supporting TEE + FHE) +++ 8 ) Storage & DA Layer: @eigen_da (hyperscale DA layer secured by Ethereum) @0G_labs (AI-native L1 for storage, compute & scale) @celestia (modular data availability layer) +++ Note that there is many, many more projects for all these categories, this is just for exemplification purposes, stay tuned for a revised ecosystem overview in full.
When people talk about DeAI, there’s something they always forget: Data. Models are only as good as the information they’re trained on, and decentralized networks are emerging to supply it. Two tokens to watch: $GRASS (web data) and $HONEY (map data)
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