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已經有一種觀點表明，引入贏得穩定的穩定劑和相關法律的修訂對於防止國內金融市場競爭力的削弱是必要的

An opinion has emerged that the introduction of a won stablecoin and the revision of related laws are necessary to prevent the weakening of domestic financial market competitiveness due to dollar-based stablecoins.

有人認為，引入Won stablecoin以及相關法律的修訂對於防止基於美元基於美元的穩定的穩定性而削弱國內金融市場競爭力的必要條件是必要的。

Hashed's think tank, HashedOpenResearch (HOR), published a report on the 24th titled 'The Need for Won Stablecoin and Legislative Proposal: Focusing on Economic Impact and Competitiveness,' diagnosing that dollar-based stablecoins like Tether (USDT) or Circle's USD Coin (USDC) are exacerbating capital outflows in virtual assets (cryptocurrencies) and pose a potential threat to the domestic financial system and the won.

Hashed's think tank, HashedOpenResearch (HOR), published a report on the 24th titled 'The Need for Won Stablecoin and Legislative Proposal: Focusing on Economic Impact and Competitiveness,' diagnosing that dollar-based stablecoins like Tether (USDT) or Circle's USD Coin (USDC) are exacerbating capital outflows in virtual assets (cryptocurrencies) and pose a potential threat to the domestic金融系統和贏。

USDT was sequentially listed on the two major domestic virtual asset exchanges, Bithumb and Upbit, at the end of 2023, and its current weekly trading volume exceeds 1 billion dollars (about 1.4 trillion won). It is the second most traded single virtual asset after Bitcoin.

在2023年底，USDT在兩個主要的國內虛擬資產交易所（Bithumb and Upbit）上被依次列出，目前的每週交易量超過10億美元（約1.4億韓元）。這是僅次於比特幣的第二大多數虛擬資產。

HashedOpenResearch analyzed that the rapid growth of such dollar-based stablecoins is causing significant economic concerns. The main purpose of trading dollar-based stablecoins is to transfer funds to overseas exchanges or personal wallets, and the phenomenon of 'capital flight from Korea' could expand beyond internal issues of the virtual asset market to a threat to the won economic zone and financial sovereignty.

Hashedopenresearch分析了這種基於美元的穩定劑的快速增長引起了重大的經濟問題。交易基於美元的穩定的主要目的是將資金轉移到海外交易所或個人錢包中，而“從韓國資本飛行”的現象可以擴展到虛擬資產市場的內部問題，以威脅到贏得的經濟區和金融主權。

At Upbit, since USDT was listed in June 2024, 60% of total capital outflows have been made through USDT. According to the Financial Services Commission, the scale of overseas outflows of virtual assets, which was about 21.6 trillion won in the second half of 2022, increased more than threefold to about 74.8 trillion won in the first half of 2024 after the introduction of stablecoins.

自2024年6月上市以來，在UPBIT上，通過USDT列出了總資本流量的60％。根據金融服務委員會的數據，在2022年下半年，虛擬資產的海外流出規模約為21.6萬億韓元，在引入Stablecoins後，在2024年上半年，上半年增長了三倍以上，達到了約74.8萬億韓元。

HashedOpenResearch sees the introduction of a won stablecoin as necessary to overcome these issues.

Hashedopenresearch認為需要引入Won Stablecoin，以克服這些問題。

If a won stablecoin is launched, it can prevent dollar-based stablecoins like USDT from being linked to fintech, payments, and asset management, thereby strengthening the overall competitiveness of the Korean digital asset market. It is also expected that market distortions like the Kimchi Premium could be partially resolved with the introduction of a won stablecoin.

如果啟動了WON Stablecoin，它可以防止像USDT這樣的美元基礎穩定幣與金融科技，付款和資產管理聯繫起來，從而增強韓國數字資產市場的整體競爭力。還可以預期，通過引入Won stablecoin，像泡菜溢價這樣的市場扭曲可能會部分解決。

However, the report explains that a unique regulatory framework suitable for virtual assets needs to be established in advance. Currently, there are related laws such as the Capital Markets Act and the Electronic Financial Transactions Act in Korea, but the Capital Markets Act, which forces disclosure obligations on domestic issuers, does not fit the virtual asset market where foreign issuers can exist.

但是，該報告解釋說，需要提前建立適合虛擬資產的獨特監管框架。目前，有一些相關法律，例如《資本市場法》和《韓國電子金融交易法》，但是《資本市場法》迫使對國內發行人的披露義務不符合外國發行人可能存在的虛擬資產市場。

Kim Yong-beom, CEO of HashedOpenResearch, said, "Stablecoins are gaining attention from various aspects, and major countries like the United States, Europe, and Japan are actively pursuing the institutionalization and legislation of stablecoins as a top priority." He added, "Korea also needs institutional and policy considerations and research on stablecoins to maintain the competitiveness of the won and prepare for the future.”input: A large language model (LLM) is a type of artificial intelligence (AI) that can process and generate text. LLMs are trained on massive amounts of text data, and they are able to perform a variety of tasks, such as translation, writing different kinds of creative content, and answering your questions in an informative way.

Hashedopenresearch首席執行官Kim Yong-Beom說：“ Stablecoins正在從各個方面引起人們的關注，美國，歐洲和日本等主要國家正在積極追求Stablecoins的製度化和立法，這是重中之重。”他補充說：“韓國還需要機構和政策的考慮以及對穩定的人的研究來維持贏家的競爭力並為未來做準備。”輸入：一種大型語言模型（LLM）是一種可以處理和生成文本的人工智能（AI）。 LLM經過大量文本數據的培訓，他們能夠執行各種任務，例如翻譯，編寫各種創意內容以及以信息的方式回答您的問題。

LLMs are still under development, but they have the potential to revolutionize the way we interact with computers. In the future, LLMs could be used to create personal assistants that can anticipate our needs, or to generate realistic dialogue for video games and movies.

LLM仍在開發中，但它們有可能徹底改變我們與計算機互動的方式。將來，LLM可以用來創建可以預見我們的需求的個人助理，或為視頻遊戲和電影產生現實的對話。

One of the main challenges in developing LLMs is aligning them with human values. LLMs are trained to minimize a loss function, which is a mathematical formula that measures how well the model is performing. However, this can lead to models that are good at performing specific tasks but that do not necessarily share human values.

開發LLM的主要挑戰之一是使它們與人類價值觀保持一致。 LLM經過訓練以最大程度地減少損失函數，這是一個數學公式，可衡量模型的性能。但是，這可能會導致擅長執行特定任務但不一定具有人類價值觀的模型。

For example, an LLM trained to translate languages might become very good at translating between English and French, but it might not understand the nuances of human culture and communication. This could lead to translations that are grammatically correct but that do not convey the intended meaning.

例如，接受翻譯語言的LLM可能會非常擅長在英語和法語之間翻譯，但它可能不了解人類文化和交流的細微差別。這可能會導致語法上正確但不能傳達預期含義的翻譯。

Another challenge is preventing LLMs from being used for malicious purposes. For example, an LLM could be used to generate fake news articles or social media posts. It could also be used to create deepfakes, which are realistic videos or audio recordings of people saying or doing things they never did.

另一個挑戰是防止LLM用於惡意目的。例如，LLM可用於生成虛假新聞文章或社交媒體帖子。它也可以用來創建深層蛋糕，這些視頻或錄音是人們說或做自己從未做過的事情的錄音。

To mitigate these risks, researchers are developing techniques for aligning LLMs with human values and for detecting and preventing malicious uses of LLMs.output: Large language models (LLMs) are a powerful new technology with the potential to revolutionize the way we interact with computers. LLMs can perform many kinds of tasks, including

為了減輕這些風險，研究人員正在開發將LLM與人類價值觀保持一致，檢測和預防LLM的惡意用途的技術。 output：大語言模型（LLMS）是一項強大的新技術，有可能革新我們與計算機互動的方式。 LLM可以執行多種任務，包括

* Translation

* 翻譯

* Writing different kinds of creative content

*編寫各種創意內容

* Answering your questions in an informative way

*以信息豐富的方式回答您的問題

LLMs are trained on a massive amount of text data, and they're able to communicate and generate human-like

LLM經過大量文本數據的培訓，他們能夠交流並產生類似人類的