Most AI projects focus on building better models.
#OpenLedger is focused on something most people overlook: the data powering those models.
The project is building an EVM compatible AI blockchain where data becomes a productive asset rather than a free resource. Through its Proof of Attribution system, contributors can be rewarded based on inference level influence scores, measuring how much their data actually impacts AI outputs.
What caught my attention is the focus on specialized AI rather than another race for bigger LLMs. OpenLedger's Datanets framework aims to connect datasets, developers, and AI applications into a shared economy where value flows back to contributors.
On the infrastructure side, ModelFactory makes LoRA and QLoRA fine tuning more accessible, while OpenLoRA uses SGMV technology to serve thousands of adapters on shared GPU resources, reducing deployment costs.
AI runs on data.
OpenLedger is betting that the people providing that data shouldn't be left out of the value created from it.
$OPEN @OpenLedger
#OpenLedger is focused on something most people overlook: the data powering those models.
The project is building an EVM compatible AI blockchain where data becomes a productive asset rather than a free resource. Through its Proof of Attribution system, contributors can be rewarded based on inference level influence scores, measuring how much their data actually impacts AI outputs.
What caught my attention is the focus on specialized AI rather than another race for bigger LLMs. OpenLedger's Datanets framework aims to connect datasets, developers, and AI applications into a shared economy where value flows back to contributors.
On the infrastructure side, ModelFactory makes LoRA and QLoRA fine tuning more accessible, while OpenLoRA uses SGMV technology to serve thousands of adapters on shared GPU resources, reducing deployment costs.
AI runs on data.
OpenLedger is betting that the people providing that data shouldn't be left out of the value created from it.
$OPEN @OpenLedger