超40亿美元天价罚款和解,Do Kwon还用坐牢吗?

Odaily星球日报Published on 2024-06-14Last updated on 2024-06-14

Abstract

「TFL始终打算在某个时候解散,而这个时候就是现在」

原文作者:Luccy、Sky

6 月 13 日,据路透社报道,Terraform Labs 同意在 与 SEC 的案件中支付 44.7 亿美元,距上一次看见如此大规模资金罚单还是 Binance 的 40 亿美元。

超40亿美元天价罚款和解,Do Kwon还用坐牢吗?

「作出该判决将确保最大程度地向受害投资者返还资金,并使 Terraform 彻底停业,」SEC 在法庭文件中表示。「因此,这项拟议的判决是公平、合理且符合公众利益的。」Terraform 和 Kwon 同意了该判决。他们的律师未立即回应置评请求。

半年法庭之战

回想 2 年前的 LUNA 崩盘, 8400 万美元的 UST 抛售就引发了 Terra 的恐怖灾难,作为第二大公链生态,仅在短短两天内就蒸发了近 400 亿美元。

尽管在 UST 触发死亡螺旋后,传言称 Jump、Alameda 等机构达成幕后交易,准备投入 20 亿美元救场。Binance 也参与了 UST 保卫战,强行为 UST 订单簿设置交易地板价。但 UST 崩盘事件仍在众目睽睽之下发生,成为加密发展史上首次大规模"泰铢+雷曼"事件。

相关阅读:《8400 万美元撬动 400 亿金融帝国,UST 崩盘始末

LUNA 崩盘后,SEC 曾在 2023 年 2 月指控该公司及其前 CEO Kwon Do-hyeong 实施证券欺诈,称其策划了「数十亿美元的加密资产证券欺诈」,并通过「提供和销售一系列相互关联的加密资产证券」从投资者处筹集了数十亿美元。

随后,Terraform Labs 及 Do Kwon 的判决消息一直牵动着加密社区,而该案原定于 2024 年 1 月开庭审理。1 月 12 日,Do Kwon 表达了希望亲自出庭的愿望,并因此请求将其审判时间延后至 2024 年 3 月中旬。

超40亿美元天价罚款和解,Do Kwon还用坐牢吗?

1.66 亿美元「行贿基金」

1 月 22 日,为应对 SEC 的证券欺诈诉讼,Terraform Labs 向法院申请第 11 章破产保护,在文件中称其资产和负债范围在 1 亿至 5 亿美元区间,以及 100 至 199 名债权人。

2 月 5 日,Terraform Labs 前首席财务官 Han Chang-joon 被引渡到韩国。黑山警方表示,与金融投资服务、投资和资本市场欺诈有关的刑事犯罪「在韩国可判处无期徒刑」。但尽管如此,据 Terraform Labs 的一位前开发人员 Lee(化名)在韩国法庭作证称,Do Kwon 和 Shin Hyun-seung 仍将 TerraUSD 稳定币作为向投资者提供的潜在支付选择。

随后,Han Chang-joon 于 2 月 8 日被首尔南部地方检察厅已逮捕,罪名是通过涉嫌欺诈性营销 Terra 稳定币赚钱 536 亿韩元(约 4000 万美元)的收益,与其他共犯的非法所得总计高达 4629 亿韩元。

Han 还被指控未经允许,将约 1 亿条用户电子支付信息非法记录在 Terra 区块链上,并通过使用「机器人」程序操纵 Terra 和 Luna 币的市场价格和交易量。此外,他还涉嫌将 Terra 发行的币种表现为固定价格,实际上是通过大量交易在特定价格范围内操作市场的方式,违反了资本市场的公开募集和销售规定。

为了应对开庭审理,Terraform Labs 于 2 月底支付给律师事务所 Dentons 高达 1.66 亿美元的预付款。

而 SEC 对此表示强烈不满,指控这笔巨额预付款为「行贿基金」,认为这笔资金原本可以用于偿还公司的债权人。Terraform Labs 向 Dentons 的高级付款保证金中支付了 1.22 亿美元,SEC 表示,除非律师事务所将保证金账户中剩余的 8100 万美元退还,否则不应允许其代表 Terraform Labs,其费用应受到破产法院的监督。

面对 SEC 的反对,Terraform Labs 提出了质疑,并向破产法院申请特别诉讼律师的聘用许可,并请求将 630 万美元的法律费用分配给面临诉讼的员工和外部合作伙伴。最终,根据法院文件,大约 325 万美元将用于支付员工的法律费用。3 月 13 日,美国法院允许 Terraform Labs 聘请 Dentons 律师事务所。

45.5 亿美元的天价罚单

与 Binance 不同的是,Terraform Labs 的和解过程并不「爽快」,曾就罚款金额问题与 SEC 争执数月。

被捕后,Do Kwon 一直被关押于黑山监狱,并于 3 月 25 日接受曼哈顿法庭审判,SEC 的一名律师在曼哈顿向陪审团表示,Terraform Labs 及其创始人 Do Kwon 反复就加密货币平台的成功撒谎。

随着他们因涉嫌欺诈投资者的指控案接近尾声,监管机构正在寻求对 Do Kwon 和 Terraform 进行民事金融处罚,并下令禁止他们进入证券行业。

4 月 6 日,Terraform Labs 及 Do Kwon 在美国曼哈顿联邦法院的民事欺诈案中被陪审团裁定有罪。Terraform 发言人表示公司对裁决结果感到失望,并称 SEC 无权提起此案。

在 4 月 19 日提交给美国纽约南区地方法院的一份文件中,SEC 要求 Do Kwon 和 Terraform 在民事案件裁决后支付约 47 亿美元的追缴款和判决前利息,以及总计 5.2 亿美元的民事罚款,其中 Terraform 支付 4.2 亿美元,Do Kwon 支付 1 亿美元。

而 Terraform 则建议最高民事罚款为 350 万美元,Do Kwon 提议 80 万美元。

5 月 1 日,在陪审团裁定 Terraform Labs 及其联合创始人 Do Kwon 在与美国证券交易委员会 (SEC) 的欺诈案中负有责任后,美国联邦法官命令各方讨论从数百万到数十亿美元不等的赔偿方案。

在进一步的赔偿方案中,SEC 仍要求 52.2 亿美元的罚款,而 Terraform 的法律团队则进一步降低赔款金额,建议 100 万美元的民事处罚,不支付罚没收益。

5 月 30 日,Terraform Labs 及 Do Kwon 已与 SEC 就欺诈案达成初步「原则性」和解。最终总判决金额达 45.5 亿美元,而 Terraform 已同意支付 44.7 亿美元民事罚款。

Do Kwon 还用坐牢吗?

超 40 亿美元的罚单,放在币圈也是屈指可数,也仅有 Binance 的 40 亿美元可与之相比。

去年 11 月 21 日,美国监管对 Binance 的再次发动正式攻击,美国司法部开出超过 40 亿美元的罚款,作为对其长达数年调查的拟议解决方案的一部分。与此同时,CZ 也被判处 4 个月监禁。

相关阅读:《美司法部开出 40 亿美元天价罚单,Binance 与监管和解

超40亿美元天价罚款和解,Do Kwon还用坐牢吗?

不止 CZ,那些曾搅动着加密世界的各创始人也难逃一劫。如果说 SBF 的 25 年监禁是罪有应得,Tornado Cash 创始人被判有罪尚存在争议,就连 Vitalik 也为其提供法律资助捐款。

Terraform 的判决包括 40.5 亿美元的追缴款及利息,以及 4.2 亿美元的民事罚款。由于 Terraform 于 1 月份申请破产,因此大部分款项可能不会支付。相反,这将被视为第 11 章破产案中的无担保债权,Terraform 正在进行清算。

而目前针对 Do Kwon 的刑事判决相关信息还未知,其面临的是 8000 万美元的民事罚款,以及被禁止进行加密交易,并需将 2.043 亿美元转入 Terraform 的破产资产中。

另外要强调的是,除了 SEC 的民事诉讼外,目前 Do Kwon 在韩国、美国还都面临刑事指控,韩美两国抢人大战仍悬而未决。

Do Kwon 原先在 2 月被裁定将引渡至美国受审,但 3 月上诉法院再改判引渡韩国,后来蒙特内哥罗最高检察官办公室又要求最高法院推翻裁决,寻求将 Do Kwon 改为引渡至美国,目前他仍在蒙特内哥罗等待引渡决定。

此前 Terraform Labs 的破产申请旨在使公司能够在面临 SEC 提起的证券欺诈案件的法律程序中,继续执行其商业计划。但今天,据 The Block 报道,Terraform Labs 计划出售其在 Terra 生态系统中的项目,包括 Pulsar Finance、Station Wallet 和 Enterprise DAO。Terraform Labs 首席执行官 Chris Amani 要求社区接管,因为该公司计划解散其业务。

「TFL 始终打算在某个时候解散,而这个时候就是现在,」Chris Amani 表示,这标志着 Terraform Labs 的终结。「我们将完全停止运营。」BlockBeats 也将持续关注 Terraform Labs 及 Do Kwon 的后续发展。

原文链接

Related Reads

Former SpaceX Engineer Reconstructs Financial Execution System Using First Principles

Former SpaceX engineer Lex Li applies "First Principles Thinking" to financial infrastructure with Plan Execution Lab, recently raising angel funding at a $50M post-money valuation. The team argues that the core function of finance is capital allocation, and the critical gap is not in trading but in execution, which remains highly manual and fragmented. While assets, liquidity, and settlement have migrated on-chain, execution workflows (monitoring, risk management, liquidity coordination) are still human-native. In an era of accelerating AI agents, strategy decay is rapid, shifting the competitive edge from having the best strategy to having the most robust execution network. Plan Execution Lab introduces two core components: 1. **PlanX**: A Financial Execution Protocol designed as infrastructure for the migration from CEX to DEX, providing on-chain execution capabilities, liquidity access, risk management, and capital orchestration. 2. **Xgent**: An Autonomous Financial Runtime. Users define investment intents, risk preferences, and constraints; Xgent automatically constructs an execution graph, verifies it, and handles ongoing execution and optimization—streamlining the process from Intent to Autonomous Execution. The long-term vision is to create the "Bloomberg Terminal for Autonomous Finance"—a shared operating environment and execution network built collectively by participants like execution nodes, liquidity providers, and autonomous agents. The future of finance, they contend, belongs not to isolated algorithms but to open, collaborative execution networks.

marsbit15m ago

Former SpaceX Engineer Reconstructs Financial Execution System Using First Principles

marsbit15m ago

Former SpaceX Engineer Reconstructs Financial Execution System from First Principles

Plan Execution Lab, a financial infrastructure project founded by former SpaceX engineer Lex Li, has raised angel funding at a $50M post-money valuation. The startup is applying "first principles thinking" from Li's SpaceX experience to rethink financial market execution. Their analysis posits that while assets, liquidity, and settlement have moved on-chain, the execution layer remains fundamentally human-dependent and fragmented. In the era of AI Agents, strategy advantages decay rapidly, shifting the competitive edge from isolated algorithms to robust **execution networks**. Plan Execution Lab's solution is a two-part system: **PlanX**, a Financial Execution Protocol designed to facilitate the migration from centralized exchanges (CEX) to on-chain markets by providing core on-chain execution capabilities; and **Xgent**, an Autonomous Financial Runtime. Xgent allows users to define investment goals and constraints, then autonomously constructs and manages the execution logic—moving from **Intent to Execution Graph to Verification to Autonomous Execution**. The long-term vision is to create the "Bloomberg Terminal for Autonomous Finance"—an operating environment not for humans, but for agents and execution nodes. The future financial system, they argue, will be a collaborative network built by diverse participants contributing execution capabilities, not secret strategies. The core competition will shift to who builds the most powerful and adaptive execution network.

链捕手16m ago

Former SpaceX Engineer Reconstructs Financial Execution System from First Principles

链捕手16m ago

First Long-Horizon Doc2Repo Training Dataset: Code Agents Move Beyond Bug Fixing and Begin Creating Repositories

With the advancement of LLM Code Agents, the research focus is shifting towards long-horizon, real-world tasks, moving beyond simple bug fixes to full repository generation. To address this, researchers from Renmin University of China introduced the DeNovoSWE dataset. This dataset focuses on long-term software engineering tasks, specifically the "document-to-repository" challenge—generating an entire, executable code repository from a task description. The DeNovoSWE construction method employs a Divide & Conquer approach. It breaks down target repositories into core capabilities and uses a multi-agent Draft-Critic-Repair workflow to automatically generate high-quality, evaluation-aligned task documents. The dataset also implements difficulty-aware filtering to balance quality and diversity. The result is a high-quality, anti-leakage dataset of 4,818 instances. Experiments show that models trained on DeNovoSWE achieve significant improvements in long-horizon repository generation. For instance, Qwen3-30B-A3B-Instruct's performance on the BeyondSWE-Doc2Repo benchmark increased from 5.8% to 47.2%, and on NL2RepoBench from 4.3% to 23.0%. Similar gains were observed with stronger backbones, demonstrating that dedicated long-horizon training data is crucial for advancing Code Agents from maintainers to architects capable of planning and building complete software projects from scratch.

marsbit31m ago

First Long-Horizon Doc2Repo Training Dataset: Code Agents Move Beyond Bug Fixing and Begin Creating Repositories

marsbit31m ago

Even CZ Praised Hyperliquid as 'Awesome', But Its Biggest Moat Might Also Be Its Biggest Risk

In an episode of Galaxy Brains, Binance founder CZ praised Hyperliquid as "awesome" but clarified that while its product is strong, Binance cannot compete in its specific niche due to Hyperliquid's no-KYC, decentralized model. CZ noted he would not personally operate such a model, highlighting the inherent legal and compliance risks tied to its access advantage. The discussion underscores a core market structure conflict: on-chain perp platforms like Hyperliquid thrive on open, low-barrier access, which regulated exchanges like Binance cannot replicate without abandoning their global compliance posture. However, this very advantage makes Hyperliquid a clear target for regulatory scrutiny. The UK FCA has already issued a warning against Hyperliquid for potentially offering unauthorized services to UK users, framing it as a financial services provider rather than neutral infrastructure. Historical cases like the CFTC's action against bZeroX and Ooki DAO further illustrate that regulators may pursue decentralized structures if they facilitate leveraged trading for retail users without proper controls. Meanwhile, regulated venues like Cboe are developing US-compliant "continuous futures" that mimic perpetual exposure, narrowing the product gap. Hyperliquid's long-term edge may increasingly hinge on its access model—the very feature most exposed to regulatory pressure. The key question is whether its "access premium" can withstand escalating legal challenges as on-chain perps gain mainstream attention.

marsbit49m ago

Even CZ Praised Hyperliquid as 'Awesome', But Its Biggest Moat Might Also Be Its Biggest Risk

marsbit49m ago

Trading

Spot
Futures
活动图片