Huobi Launches Dominica Metaverse Bound Token (DMBT), Advancing Globalization of Web3 and the Metaverse

THE BLOCKPubblicato 2023-03-29Pubblicato ultima volta 2023-03-29

Introduzione

Huobi, the virtual asset trading platform, has announced the launch of the Dominica Metaverse Bound Token (DMBT).

Huobi, the virtual asset trading platform, has announced the launch of the Dominica Metaverse Bound Token (DMBT). The launch of DMBT is part of the rollout of the Dominica Metaverse Digital Citizen (DMDC), which was authorized by the government of Dominica in collaboration with TRON and DMC Labs.

DMBT serves as an on-chain identity for users who have completed their Level-3 KYC verification on Huobi. It serves as a credential for verified DMDC members and is a type of soulbound token (SBT) that is unique, non-transferable, and revocable.

After successfully completing the Huobi KYC process, users can obtain their Dominica Metaverse Digital Identity (DDID) and become a DMDC. DDID holders are eligible for a physical Dominica Metaverse Identification Card (DMIC). The potential benefits of DMDC membership may cover a variety of on-chain and off-chain use cases utilizing the DDID, including the facilitation of online KYC processes across international crypto trading or financial service platforms subject to local regulations, and collaboration with various membership programs shared by real-life consumer businesses globally.

Furthermore, users can mint DMBT on the TRON blockchain with their DDID, which can be viewed on any wallet that supports TRON NFT protocols.

H.E. Justin Sun, Founder of TRON and Global Advisor to Huobi, commented, "DDID will serve as the building block for Web 3 and a bridge connecting the real and virtual worlds. Essentially, the on-chain digital identity system lays the foundation for a future metaverse world that is truly capable of servicing the global population across physical boundaries and national borders in mankind's pursuit toward inclusive digital freedom."

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Empire Podcast hosts Jason Yanowitz and Santiago Santos discuss the surging institutional interest in Hyperliquid, a decentralized perpetual exchange, marking the highest level of engagement from traditional hedge fund managers since Paul Tudor Jones endorsed Bitcoin in 2020. The primary driver is the demand for weekend trading of commodities like oil, especially during geopolitical tensions such as the Iran conflict, as Hyperliquid provides the only active price discovery venue when traditional markets are closed. Trade XYZ, a front-end on Hyperliquid, has seen significant growth, with weekend oil price predictions having a median error of only 50 basis points. Santos predicts commodity trading volume on Hyperliquid will surpass Bitcoin within the year and that its market cap could rise from $25 billion to $100 billion. Other key points include Kraken raising $200 million at a reduced valuation of $13.3 billion, and the SEC clarifying that self-custodied DeFi frontends like MetaMask are not subject to broker-dealer rules, resolving a major regulatory uncertainty. The hosts also note the strong correlation between crypto and macro markets, with the S&P 500 posting one of its best 10-day rallies since 1950. They highlight MicroStrategy's continued Bitcoin acquisitions and the potential of real-world asset (RWA) tokenization as a key trend. The discussion concludes with skepticism towards many L2 projects, predicting a wave of protocols truly going to zero as capital concentrates in proven assets like Bitcoin and Hyperliquid.

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a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

a16z presents a comprehensive investment thesis for the next frontier of AI: Physical AI, centered on a synergistic flywheel of robotics, autonomous science, and novel human-computer interfaces (HCIs) like brain-computers. While the current AI paradigm scales on language and code, the most disruptive future capabilities will emerge from three adjacent fields leveraging five core technical primitives: 1) learned representations of physical dynamics (via models like VLA, WAM, and native embodied models), 2) embodied action architectures (e.g., dual-system designs, diffusion-based motion generation, and RL fine-tuning like RECAP), 3) simulation and synthetic data as scaling infrastructure, 4) expanded sensory channels (touch, neural signals, silent speech, olfaction), and 5) closed-loop agent systems for long-horizon tasks. These primitives converge to power three key domains: * **Robotics:** The literal embodiment of AI, requiring all primitives for real-world physical interaction and manipulation. * **Autonomous Science:** Self-driving labs that conduct hypothesis-experiment-analysis loops, generating structured, causally-grounded data to improve physical AI models. * **Novel HCIs:** Devices (AR glasses, EMG wearables, BCIs) that expand human-AI bandwidth and act as massive data-collection networks for real-world human experience. These domains form a mutually reinforcing flywheel: Robotics enable autonomous labs, which in turn generate valuable data for robotics and materials science. New interfaces provide rich human-physical interaction data to train better robots and scientists. Together, they represent a new scaling axis for AI, moving beyond the digital realm to interact with and learn from physical reality, promising significant emergent capabilities and value.

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