TRON takes the lead in developing the digital identification program for Dominica Metaverse

Finance FeedsPublished on 2023-03-07Last updated on 2023-03-07

Abstract

TRON will be developing the first Caribbean digital identity initiative, which includes the establishment of the Dominica Metaverse, as well as the operation of the Dominica Digital Identity (DDID) and Dominica Coin (DMC) programs.

TRON is excited to announce its latest partnership with the Commonwealth of Dominica to usher in a new era of Web 3.0. TRON will be developing the first Caribbean digital identity initiative, which includes the establishment of the Dominica Metaverse, as well as the operation of the Dominica Digital Identity (DDID) and Dominica Coin (DMC) programs.

As a pioneer in Metaverse innovation, this partnership recognizes the potential for Dominica to lead the way in this groundbreaking technology that will transform everyday life and revolutionize businesses in the coming years. With digital identity being a key component of Web 3.0, TRON is proud to oversee, execute, and facilitate the issuance of DDID and DMC.

“This digital identification project is a significant milestone for us as it marks the first Web 3 initiative since the passage of our Crypto Ordinance last year. We are excited about the prospect of blockchain innovation and look forward to continued collaboration with Tron to advance the digital economy for Dominica,” said Roosevelt Skerrit, Prime Minister of the Commonwealth of Dominica.

Commonwealth of Dominica Official Media Contact

pssecpmoffice@dominica.gov.dm

About TRON DAO

TRON DAO is a community-governed DAO dedicated to accelerating the decentralization of the internet via blockchain technology and dApps.

Founded in September 2017 by H.E. Justin Sun, the TRON network has continued to deliver impressive achievements since MainNet launch in May 2018. July 2018 also marked the ecosystem integration of BitTorrent, a pioneer in decentralized Web3 services boasting over 100 million monthly active users. The TRON network has gained incredible traction in recent years.

As of March 2023, it has over 145 million total user accounts on the blockchain, more than 5 billion total transactions, and over $11 billion in total value locked (TVL), as reported on TRONSCAN. In addition, TRON hosts the largest circulating supply of USD Tether (USDT) stablecoin across the globe, overtaking USDT on Ethereum since April 2021.

The TRON network completed full decentralization in December 2021 and is now a community-governed DAO. In May 2022, the over-collateralized decentralized stablecoin USDD was launched on the TRON blockchain, backed by the first-ever crypto reserve for the blockchain industry – TRON DAO Reserve, marking TRON’s official entry into decentralized stablecoins.

Most recently in October 2022, TRON was designated as the national blockchain for the Commonwealth of Dominica, which is the first time a major public blockchain partnering with a sovereign nation to develop its national blockchain infrastructure. On top of the government’s endorsement to issue Dominica Coin (“DMC”), a blockchain-based fan token to help promote Dominica’s global fanfare, seven existing TRON-based tokens – TRX, BTT, NFT, JST, USDD, USDT, TUSD, have been granted statutory status as authorized digital currency and medium of exchange in the country.

Trending Cryptos

Related Reads

Vitalik's Algorithmic Stablecoin Vision: Interpreting the Mechanism and Challenges from an Options Perspective

Vitalik Buterin's recent algorithmic stablecoin proposal envisions using an option-like mechanism to create a stablecoin without the liquidation risks inherent in traditional collateralized debt position (CDP) models. The design splits one unit of ETH into two components: a 'stable' leg (P) that maintains value up to a certain strike price, and an 'upside' leg (N) that captures any appreciation above that price. Together, they always sum to one ETH, eliminating the need for debt or liquidation mechanisms. From an options perspective, the stable leg essentially functions as a synthetic, covered call position. However, significant challenges exist. For the stable asset to maintain its peg, it must continuously roll deep in-the-money call options, leading to potential rollover slippage, predictable trading paths vulnerable to front-running, and liquidity issues. Crucially, the system's scalability depends on a constant demand for the upside leg—a form of leveraged ETH long position without funding rates or liquidation risk. It's unclear if such persistent, specific demand will materialize from speculators or market makers who have simpler alternatives like perpetual swaps. The author, drawing from experience with Rysk, argues that DeFi options have struggled as standalone trading products due to complexity and fragmented liquidity. Their potential lies instead as foundational infrastructure underpinning more complex financial primitives like stablecoins, structured yields, or index products—transforming from a direct product into a core pricing and risk distribution engine for the next generation of on-chain finance.

marsbit1h ago

Vitalik's Algorithmic Stablecoin Vision: Interpreting the Mechanism and Challenges from an Options Perspective

marsbit1h ago

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbit4h ago

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbit4h ago

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit4h ago

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit4h ago

Trading

Spot
Futures

Hot Articles

HTX Learn: Learn USDD to Share 1000 USDT​

To enhance your understanding of USDD, we are rolling out various rewarding events. Join them now and bring home generous rewards through learning and trading.

27.9k Total ViewsPublished 2026.05.25Updated 2026.05.25

HTX Learn: Learn USDD to Share 1000 USDT​

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of USDD (USDD) are presented below.

活动图片