After contacting OpenLedger, my most intuitive feeling is that it accurately hits the core pain points of the AI industry. In the past, participating in AI data labeling or model training often faced issues such as ambiguous ownership of results and delayed remuneration. However, OpenLedger's attribution proof protocol has completely changed this situation — every contribution of data and every iteration of the model can be clearly traced on the chain, allowing contributors to receive corresponding rewards in real-time. This mechanism of 'transparent rights confirmation + immediate incentives' greatly enhances participation enthusiasm.
Its 'payable AI' model is also quite enlightening, as it allows ordinary developers to monetize their small models or datasets on the platform without the need to build complex infrastructure, lowering the threshold for commercializing AI assets. However, it has also been found in practice that for non-technical users, operating the EVM-compatible layer two infrastructure still requires a certain learning cost. If the interaction experience of no-code tools can be further optimized, it may attract more participants and promote the faster development of the AI and blockchain integration ecosystem.
