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The project’s infrastructure (built on extensive academic research at Stanford University) relies on several unique tech pillars: @OpenLedger ##OpenLedger # #OpenL1 $OPEN

• Proof of Attribution (PoA): the core innovation of the project. This tech accurately records on the blockchain how specific data influences the training and shaping of AI model outputs, and then automatically and fairly distributes the returns to stakeholders.

• Datanets: Community channels dedicated to gathering, organizing, and cleaning data to make it suitable for training specialized language models (SLMs).

• Model Factory: A no-code development environment that allows developers to fine-tune and train open-source models with ease.

• OpenLoRA: A tech feature that supports running thousands of dynamic models on demand simultaneously, significantly reducing hosting and decentralized deployment costs. Proof of Attribution (PoA): The project's core innovation. This tech accurately records on the blockchain how specific data influences the training and shaping of AI model outputs, and then automatically and fairly distributes returns to stakeholders.

• Datanets: Community channels dedicated to gathering, organizing, and cleaning data to make it suitable for training specialized language models (SLMs).

• Model Factory: A no-code development environment that allows developers to fine-tune and train open-source models with ease.

• OpenLoRA: A tech feature that supports running thousands of dynamic models on demand simultaneously, significantly reducing hosting and decentralized deployment costs.