@OpenledgerHQ is currently entering its final stages of ranking on @KaitoAI, and everyone is eagerly awaiting $OPEN's subsequent applications and empowerment. The official Twitter account also reiterated Openledger's mechanisms, hoping to quickly implement them within the ecosystem. Current AI models are essentially static. Data is purchased once and used to train the model, and then becomes fully vested in the model owner. However, when the model begins inference and outputs results, the initial data contributors often receive neither recognition nor any incentives. This one-time transaction model makes AI closed and rigid. I align more with the approach of Liquid AI. Under OpenLedger's Proof of Attribution mechanism, every piece of data involved in training is recorded on-chain. When the model runs inference, the system can track which data influenced the results and distribute corresponding incentives to those contributors. This means that data is no longer a one-time transaction, but an asset that can generate continuous returns. This is why I believe @OpenledgerHQ is the first true AI liquidity layer. It enables data, models, and even intelligent agents to become liquid, composable assets, ensuring that every data contribution can be explained, verified, and fairly rewarded. On the other hand, @Mantle_Official is also continuing its development. $MNT has broken through a new all-time high and has entered an upward trend. I recommend you delve into it. @xhunt_ai's list rewards are approaching $50,000 at current prices, which is quite attractive. Hundreds of tweets have been added in just a few days, especially on the workload list. More and more people are participating in cross-chain transactions to gain ranking bonuses, which is also good for the on-chain ecosystem. #Kaito #Xhunt #Mantle #Openledger
Risk and Disclaimer:The content shared by the author represents only their personal views and does not reflect the position of CoinWorldNet (币界网). CoinWorldNet does not guarantee the truthfulness, accuracy, or originality of the content. This article does not constitute an offer, solicitation, invitation, recommendation, or advice to buy or sell any investment products or make any investment decisions
No Comments
edit
comment
collection27
like35
share