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已经有一种观点表明，引入赢得稳定的稳定剂和相关法律的修订对于防止国内金融市场竞争力的削弱是必要的

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.

有人认为，引入Won stablecoin以及相关法律的修订对于防止基于美元基于美元的稳定的稳定性而削弱国内金融市场竞争力的必要条件是必要的。

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金融系统和赢。

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在两个主要的国内虚拟资产交易所（Bithumb and Upbit）上被依次列出，目前的每周交易量超过10亿美元（约1.4亿韩元）。这是仅次于比特币的第二大多数虚拟资产。

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分析了这种基于美元的稳定剂的快速增长引起了重大的经济问题。交易基于美元的稳定的主要目的是将资金转移到海外交易所或个人钱包中，而“从韩国资本飞行”的现象可以扩展到虚拟资产市场的内部问题，以威胁到赢得的经济区和金融主权。

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月上市以来，在UPBIT上，通过USDT列出了总资本流量的60％。根据金融服务委员会的数据，在2022年下半年，虚拟资产的海外流出规模约为21.6万亿韩元，在引入Stablecoins后，在2024年上半年，上半年增长了三倍以上，达到了约74.8万亿韩元。

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

Hashedopenresearch认为需要引入Won Stablecoin，以克服这些问题。

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.

如果启动了WON Stablecoin，它可以防止像USDT这样的美元基础稳定币与金融科技，付款和资产管理联系起来，从而增强韩国数字资产市场的整体竞争力。还可以预期，通过引入Won stablecoin，像泡菜溢价这样的市场扭曲可能会部分解决。

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，该报告解释说，需要提前建立适合虚拟资产的独特监管框架。目前，有一些相关法律，例如《资本市场法》和《韩国电子金融交易法》，但是《资本市场法》迫使对国内发行人的披露义务不符合外国发行人可能存在的虚拟资产市场。

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首席执行官Kim Yong-Beom说：“ Stablecoins正在从各个方面引起人们的关注，美国，欧洲和日本等主要国家正在积极追求Stablecoins的制度化和立法，这是重中之重。”他补充说：“韩国还需要机构和政策的考虑以及对稳定的人的研究来维持赢家的竞争力并为未来做准备。”输入：一种大型语言模型（LLM）是一种可以处理和生成文本的人工智能（AI）。 LLM经过大量文本数据的培训，他们能够执行各种任务，例如翻译，编写各种创意内容以及以信息的方式回答您的问题。

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仍在开发中，但它们有可能彻底改变我们与计算机互动的方式。将来，LLM可以用来创建可以预见我们的需求的个人助理，或为视频游戏和电影产生现实的对话。

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.

开发LLM的主要挑战之一是使它们与人类价值观保持一致。 LLM经过训练以最大程度地减少损失函数，这是一个数学公式，可衡量模型的性能。但是，这可能会导致擅长执行特定任务但不一定具有人类价值观的模型。

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，接受翻译语言的LLM可能会非常擅长在英语和法语之间翻译，但它可能不了解人类文化和交流的细微差别。这可能会导致语法上正确但不能传达预期含义的翻译。

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.

另一个挑战是防止LLM用于恶意目的。例如，LLM可用于生成虚假新闻文章或社交媒体帖子。它也可以用来创建深层蛋糕，这些视频或录音是人们说或做自己从未做过的事情的录音。

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

为了减轻这些风险，研究人员正在开发将LLM与人类价值观保持一致，检测和预防LLM的恶意用途的技术。output：大语言模型（LLMS）是一项强大的新技术，有可能革新我们与计算机互动的方式。 LLM可以执行多种任务，包括

* Translation

* 翻译

* Writing different kinds of creative content

*编写各种创意内容

* Answering your questions in an informative way

*以信息丰富的方式回答您的问题

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

LLM经过大量文本数据的培训，他们能够交流并产生类似人类的