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dec

Hyperbridge restarts the cross-chain interoperability protocol and launches the OFT adapter, completing the decentralized architecture upgrade

Hyperbridge Cross-Chain Interoperability Protocol Hyperbridge announced the completion of a comprehensive architecture reboot, re-launching after completing security audits, bug bounty incentives, and system reconstruction, and officially transforming into a "hyperstructure." The protocol was suspended after the security incident on April 13, during which it completed a joint audit with organizations such as SRLabs and paid over $150,000 in bounties to security researchers.The team stated that this upgrade removed the original centralized management keys, transitioning to a fully permissionless network of validators and provers, achieving full-stack decentralized operation.This reboot also introduced the "Hyper Fungible Token (HFT)" standard, making each cross-chain asset an independent application layer structure, with issuers autonomously controlling cross-chain behavior rules, including pause mechanisms and throttling strategies. Hyperbridge also released the OFT (Omnichain Fungible Token) adapter, which is compatible with existing cross-chain protocols like LayerZero, allowing assets to be migrated to a zero-knowledge proof-based transport layer by simply modifying configuration parameters, without the need to redeploy contracts.In addition, the protocol's business model has shifted from a pay-per-use model to a subscription model, allowing cross-chain applications to pay a stablecoin fee of $50 to $1,000 per month for bandwidth services. The official statement indicated that this upgrade marks Hyperbridge's transition from an early cross-chain bridge project to a fully decentralized infrastructure protocol, aiming to provide a unified interoperability layer for a multi-chain ecosystem without the need for trusted intermediaries.

DGrid AI released the latest research paper PoQ-Judge, completing the closed loop of decentralized LLM quality assessment with a multi-architecture evaluation framework

The decentralized AI infrastructure network DGrid AI today released its latest research paper "PoQ-Judge," proposing a multi-architecture quality assessment framework that does not require reference answers. This means that in real deployment environments, there are often no standard answers for comparison, yet the protocol can still reliably score the quality of model responses and allocate incentives accordingly. This is a key piece that has long been missing in DGrid's decentralized LLM inference quality assessment system.PoQ (Proof of Quality) is a consensus mechanism independently developed by DGrid, designed to prevent model providers from deploying low-quality models, fabricating data, or hiding computational costs at the protocol level, thereby ensuring service quality and pricing transparency. The DGrid team has been continuously working on PoQ and has published four research papers to date. The newly released PoQ-Judge has trained three assessment models covering different quality and cost scenarios, achieving a correlation of up to 0.747 with human scoring on the retention test set, significantly outperforming all previous reference answer-based evaluators, while reducing assessment costs by over 72% through cascading evaluation and online weight calibration.With the implementation of PoQ-Judge, the entire process from quality assessment → scoring → incentive allocation has completely eliminated reliance on reference answers, thus establishing a closed loop for the quality of decentralized LLM inference.DGrid AI is a decentralized AI intelligent network dedicated to building an open, transparent, and community-driven AI infrastructure. Focusing on model invocation and application experience, DGrid has launched several core products: the AI Gateway that aggregates mainstream large models globally, the one-click deployment platform for AI agents DClaw, the anonymous model competition platform AI Arena, and the intelligent model recommendation assistant Dori, providing one-stop services for developers and users. It is reported that DGrid AI's revenue has surpassed 20 million dollars in six months.
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