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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.

YZi Labs' incubation project Cournot has become the official AI-native oracle of 42

The AI native oracle Cournot Protocol, invested by YZi Labs, has officially integrated with 42, an event market backed by institutions such as Dragonfly and Coinbase Ventures, becoming its official AI native oracle. Cournot will provide continuous monitoring, evidence endorsement assessment, and a transparent analysis workflow driven by Cournot's "reasoning proof" framework.As the event trading platform expands into sectors such as sports, politics, creator economy, and crypto-native events, building a market adjudication mechanism is becoming a core challenge in the infrastructure domain. Unlike traditional data feed oracles, Cournot continuously tracks external dynamics, aggregates multi-source evidence for cross-examination, and analyzes the settlement conditions of various markets, generating an auditable reasoning chain while outputting adjudication results.The recent integration of the prediction market Myriad Markets by Cournot reflects the macro trend of the industry migrating towards "AI-assisted settlement" infrastructure. Cournot's core capabilities will gradually expand from empowering prediction markets to areas such as Agentic Commerce, complex RWA, card games, and parametric insurance. More and more platforms are realizing that complex real-world outcomes are often not adjudicated by a single API or a price feed, which is precisely why they are beginning to seek new types of oracles.

Hong Kong Securities and Futures Commission: Will continue to promote the construction of a regulatory framework for digital assets and support AI financial applications

According to Crowdfund Insider, the Chairperson of the Hong Kong Securities and Futures Commission (SFC), Laura Liang, stated at the Caixin Summer Summit that Hong Kong will continue to expand its digital asset regulatory framework and promote the application of artificial intelligence (AI) in the financial services sector to consolidate its position as an international financial center.Laura Liang pointed out that regulatory agencies will improve the institutional framework around areas such as digital asset trading, custody, investment consulting, and asset management, while adhering to the regulatory principle of "same business, same risks, same rules," achieving a balance between innovation and investor protection.She stated that as the application of AI in the financial industry accelerates, regulatory focus will include potential risks such as model reliability, algorithm bias, data privacy, and cybersecurity, emphasizing that financial institutions need to strengthen risk management during the innovation process.In addition, the Hong Kong Securities and Futures Commission and relevant regulatory agencies have expanded the regulatory sandbox mechanism, allowing financial institutions to test generative AI applications in a controlled environment to promote technological implementation and compliant development. Analysts believe that Hong Kong is further enhancing the openness and standardization of its financial markets through a dual regulatory framework for digital assets and AI, while also increasing its competitiveness in the global capital markets.
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