PANews reported on November 18th that, according to The Block, OpenLedger has launched its OPEN mainnet. The team has created a decentralized network designed to provide data proxies and automated contributor compensation mechanisms for artificial intelligence systems. Users can upload datasets to a shared "data network," where developers can train models and receive payments automatically via smart contracts. OpenLedger explains that this model draws inspiration from the economics of creator platforms like YouTube, aiming to help researchers, writers, and domain experts who support the training of AI systems earn rewards. At the heart of the OPEN mainnet is a "proof of ownership" system that records the origin of every dataset, model, and agent on-chain. Every AI output can be traced back to its original contributor, enabling verifiable credit records and automated payments. OpenLedger states that developers integrating with the network can easily build AI agents without managing infrastructure or data hosting. Contributors' earnings are processed using the protocol's OPEN token, with rewards distributed based on the on-chain ownership trajectory. This infrastructure, termed "data as a shared service," provides data producers with tools to access the AI supply chain, allowing them to passively earn revenue when their work is used in models. In July of last year, it was reported that OpenLedger had completed an $8 million seed round of financing, led by Polychain Capital and Borderless Capital .PANews reported on November 18th that, according to The Block, OpenLedger has launched its OPEN mainnet. The team has created a decentralized network designed to provide data proxies and automated contributor compensation mechanisms for artificial intelligence systems. Users can upload datasets to a shared "data network," where developers can train models and receive payments automatically via smart contracts. OpenLedger explains that this model draws inspiration from the economics of creator platforms like YouTube, aiming to help researchers, writers, and domain experts who support the training of AI systems earn rewards. At the heart of the OPEN mainnet is a "proof of ownership" system that records the origin of every dataset, model, and agent on-chain. Every AI output can be traced back to its original contributor, enabling verifiable credit records and automated payments. OpenLedger states that developers integrating with the network can easily build AI agents without managing infrastructure or data hosting. Contributors' earnings are processed using the protocol's OPEN token, with rewards distributed based on the on-chain ownership trajectory. This infrastructure, termed "data as a shared service," provides data producers with tools to access the AI supply chain, allowing them to passively earn revenue when their work is used in models. In July of last year, it was reported that OpenLedger had completed an $8 million seed round of financing, led by Polychain Capital and Borderless Capital .

Polychain-powered OpenLedger launches its OPEN mainnet for AI data profiling and creator payments.

2025/11/18 18:43

PANews reported on November 18th that, according to The Block, OpenLedger has launched its OPEN mainnet. The team has created a decentralized network designed to provide data proxies and automated contributor compensation mechanisms for artificial intelligence systems. Users can upload datasets to a shared "data network," where developers can train models and receive payments automatically via smart contracts. OpenLedger explains that this model draws inspiration from the economics of creator platforms like YouTube, aiming to help researchers, writers, and domain experts who support the training of AI systems earn rewards.

At the heart of the OPEN mainnet is a "proof of ownership" system that records the origin of every dataset, model, and agent on-chain. Every AI output can be traced back to its original contributor, enabling verifiable credit records and automated payments. OpenLedger states that developers integrating with the network can easily build AI agents without managing infrastructure or data hosting. Contributors' earnings are processed using the protocol's OPEN token, with rewards distributed based on the on-chain ownership trajectory. This infrastructure, termed "data as a shared service," provides data producers with tools to access the AI supply chain, allowing them to passively earn revenue when their work is used in models.

In July of last year, it was reported that OpenLedger had completed an $8 million seed round of financing, led by Polychain Capital and Borderless Capital .

Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen service@support.mexc.com ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

Ayrıca Şunları da Beğenebilirsiniz

The Channel Factories We’ve Been Waiting For

The Channel Factories We’ve Been Waiting For

The post The Channel Factories We’ve Been Waiting For appeared on BitcoinEthereumNews.com. Visions of future technology are often prescient about the broad strokes while flubbing the details. The tablets in “2001: A Space Odyssey” do indeed look like iPads, but you never see the astronauts paying for subscriptions or wasting hours on Candy Crush.  Channel factories are one vision that arose early in the history of the Lightning Network to address some challenges that Lightning has faced from the beginning. Despite having grown to become Bitcoin’s most successful layer-2 scaling solution, with instant and low-fee payments, Lightning’s scale is limited by its reliance on payment channels. Although Lightning shifts most transactions off-chain, each payment channel still requires an on-chain transaction to open and (usually) another to close. As adoption grows, pressure on the blockchain grows with it. The need for a more scalable approach to managing channels is clear. Channel factories were supposed to meet this need, but where are they? In 2025, subnetworks are emerging that revive the impetus of channel factories with some new details that vastly increase their potential. They are natively interoperable with Lightning and achieve greater scale by allowing a group of participants to open a shared multisig UTXO and create multiple bilateral channels, which reduces the number of on-chain transactions and improves capital efficiency. Achieving greater scale by reducing complexity, Ark and Spark perform the same function as traditional channel factories with new designs and additional capabilities based on shared UTXOs.  Channel Factories 101 Channel factories have been around since the inception of Lightning. A factory is a multiparty contract where multiple users (not just two, as in a Dryja-Poon channel) cooperatively lock funds in a single multisig UTXO. They can open, close and update channels off-chain without updating the blockchain for each operation. Only when participants leave or the factory dissolves is an on-chain transaction…
Paylaş
BitcoinEthereumNews2025/09/18 00:09