将您的应用分发到 Empoorio，并吸引数百万加密用户。随着 AI 持续塑造技术发展，对开放、无许可系统的需求变得更加重要。Empoorio 为开放智能生态系统提供了基础，支持去中心化所有权、高效资源分配以及 AI 的无缝价值转移。
Model training and inference spread across the devices taking part. The data never leaves the phone: what travels is the trained adapter, with the proof of each contribution written to the chain.
Models trained and served from our own pipeline, from 4.3M to 113M parameters. The scaling roadmap is a document with its dates, not a promise.
Where the datasets live: whoever contributes data keeps the record of having contributed it, and the training that uses it points back at that record.
pallet-ai-consensus and pallet-ai-subnets record which model answered, with which weights and when, so an inference can be audited instead of trusted.
The assistant built into Aephoron, the ecosystem's browser, with its own engine. It answers from the device and asks the network only when it needs to.
Empoorio 提供数十种即用型 AI 产品。
播客How AiloOS splits a model and records each contribution on chain
播客Which model answered, with which weights, written to the chain
