20万人在这场加密骗局中损失了6.5亿美元

币界网Pubblicato 2024-08-13Pubblicato ultima volta 2024-08-13

币界网报道：

美国证券交易委员会（SEC）已对加密货币公司NovaTech及其联合创始人提出指控，指控他们涉嫌策划6.5亿美元的欺诈计划，同时还因违反反洗钱（AML）规定对经纪交易商OTC Link LLC处以119万美元的罚款。

美国证券交易委员会指控NovaTech涉嫌6.5亿美元加密货币欺诈

在美国佛罗里达州南区地方法院提起的诉讼中，美国证券交易委员会指控NovaTech及其已婚联合创始人Cynthia和Eddy Petiton通过多层次营销（MLM）计划在全球范围内欺骗了20多万投资者。据称，该公司通过承诺投资加密资产和外汇交易所筹集资金。交易所是一个支持衍生品、商品、证券和其他金融工具交易的市场。一般来说，交易所可以通过数字平台访问，有时也可以在投资者组织进行交易的有形地址访问。交易所的主要职责之一是维护诚实和公平的交易行为。这些有助于确保该交易所支持的证券利率的分配是有效的。交易所被称为支持衍生品、商品、证券和其他金融工具交易的市场。一般来说，交易所可以通过数字平台访问，有时也可以在投资者组织进行交易的有形地址访问。交易所的主要职责之一是维护诚实和公平的交易行为。这些有助于确保该交易所支持的证券利率的分配是有效的。阅读本条款市场。

美国证券交易委员会沃思堡地区办事处主任埃里克·沃纳表示：“NovaTech和请愿书给全球数万名受害者造成了难以估量的损失。”。“正如我们所声称的那样，这种规模的传销计划需要发起人来推动它们，今天的行动表明，我们不仅会追究这些大规模计划的主要设计者的责任，还会追究那些通过非法招揽受害者来传播欺诈行为的发起人的责任。”

美国证券交易委员会声称，NovaTech没有按照承诺投资资金，而是用新的投资者资金支付早期投资者和发起人的佣金，而请愿书据称挪用了数百万美元用于个人用途。据报道，该计划针对海地裔美国人社区，从2019年开始实施，直到2023年5月崩溃。

即使在意识到针对该公司的监管行动后，六名NovaTech发起人也因在招募投资者方面所起的作用而受到指控。一位发起人马丁·齐齐已同意支付10万美元的民事罚款，以部分解决指控。

这标志着美国证券交易委员会最近对一家加密货币公司采取了另一项数百万美元的行动。两周前，委员会与司法部（DoJ）合作，指控加密货币社交媒体平台BitClout的创始人Nader Al-Naji犯有电汇欺诈和销售未注册证券罪，总计2.57亿美元。

OTC Link因违反反洗钱规定被罚款

在另一项行动中，美国证券交易委员会宣布对OTC Link LLC提出指控，指控其在三年内未提交可疑活动报告（SAR）。OTC Link运营着三个场外证券替代交易系统平台，据称缺乏适当的反洗钱程序来监控交易中的可疑活动。

美国证券交易委员会纽约地区办事处副区域主任Tejal D.Shah表示：“经纪交易商是证券市场的关键把关人，必须认真监控可疑交易。”。“当像OTC Link这样的公司未能提交严重不良反应报告时，他们就会剥夺监管机构和执法部门有关可疑活动的重要信息。”

OTC Link同意支付119万美元的罚款并参与合规合规。在金融、银行、投资和保险合规方面，合规是指遵守政府监管机构制定的规则或命令，无论是提供服务还是处理交易。财务合规也将是一种遵守既定准则或规范的状态。这一指定还可以包括确保组织遵守行业法规和政府立法的努力。了解合规性合规性是一种金融、银行、投资和保险合规性，是指遵守政府监管机构制定的规则或命令，无论是提供服务还是处理交易。财务合规也将是一种遵守既定准则或规范的状态。这一指定还可以包括确保组织遵守行业法规和政府立法的努力。了解合规性是阅读本条款的顾问，在不承认或否认美国证券交易委员会的调查结果的情况下审查其反洗钱政策。

就在上周，投资银行公司Piper Sandler同意支付1600万美元的民事罚款，以解决美国监管机构对其记录保存做法的询问。周二宣布的这一和解协议，是华尔街持续执行通信标准的又一步。

Letture associate

Donald Trump’s 2031 Post-Quantum Security Mandate Sparks Urgent Crypto Upgrade Efforts

U.S. President Donald Trump has issued executive orders mandating federal agencies to upgrade their cryptographic systems to quantum-resistant technologies. Key deadlines include enhancing critical systems by December 2030 and migrating all federal digital signature infrastructure to post-quantum standards by December 2031. The move addresses "harvest now, decrypt later" threats, where encrypted data could be decrypted by future quantum computers. The directive has spurred urgency in the crypto and blockchain industry, which relies heavily on elliptic curve cryptography vulnerable to quantum attacks. Recent advancements, like those from Google Quantum AI, have reduced the resources needed for such attacks. In response, projects like Ethereum, Algorand, and Ripple are developing or implementing quantum-resistant signature schemes and migration plans. The mandate also highlights risks to Bitcoin, where exposed public keys in legacy addresses could be targeted. Overall, the orders accelerate a broader shift toward post-quantum security across both government and private sectors.

TheNewsCrypto2 min fa

Donald Trump’s 2031 Post-Quantum Security Mandate Sparks Urgent Crypto Upgrade Efforts

TheNewsCrypto2 min fa

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Decentralized Reasoning: Beyond the Hype, a Key to Breaking AI's Centralized Monopoly A future scenario where a powerful AI model is banned by a major government illustrates the core value proposition of decentralized AI: resistance to censorship. The core bet of decentralized inference networks is mitigating this risk, with other benefits like cost being secondary. The path is extremely difficult, involving four key challenges: 1. **Running Massive Models:** Distributing a single model across a decentralized GPU swarm requires sophisticated techniques like pipeline and speculative decoding to overcome crippling network latency, aiming for usable speeds (e.g., 30-40 tokens/second). 2. **Proving Model Integrity:** Verifying that a node runs the correct model is critical. Solutions range from cryptographically secure but slow ZKML to faster, economically-secure methods like statistical fingerprints, deterministic re-execution, or live-weight proofs, each involving trade-offs between integrity, latency, and cost. 3. **Ensuring Prompt Privacy:** Simply sharding a model does not protect user inputs from nodes. Robust solutions currently require trusted hardware (TEEs) or advanced cryptography (FHE), which are not yet widely deployed in consumer swarms. 4. **Building a Real Market:** Identifying the ideal customer is tough. Beyond speculative AI agents, the viable market currently consists of startups embedding AI and projects needing batch processing (e.g., synthetic data generation), where decentralized aggregation can be an advantage over low-latency needs. The article analyzes several projects tackling these problems, such as Dolphin Network (live-weight proofs), Inference.net (statistical verification), Morpheus (TEE-based), and Darkbloom (Apple Secure Enclave). It provides a framework: decentralization is a "tax" for latency-sensitive applications (e.g., chat) but a potential supply-side advantage for throughput-oriented tasks (e.g., batch processing). The long-term vision is a closed data loop where decentralized inference generates valuable data (traces, preferences) to feed decentralized training networks, which in turn produce better open-weight models for the inference networks. A due diligence checklist advises focusing on projects that: are truly decentralized at specific layers; have a credible integrity method; offer real cost benefits; ensure genuine privacy; handle node reliability; have paying users; and are built by teams with deep AI expertise. The ultimate goal should be products that appeal beyond the crypto-native audience, using crypto mechanisms invisibly to deliver better cost, performance, or privacy.

Foresight News8 min fa

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Foresight News8 min fa

Warsh’s First FOMC Chairmanship: Fed Provides Less Rate Guidance, Will US Bonds Become More Expensive?

Fed Chair Kevin Warsh's first FOMC meeting in June 2026 marked a shift in communication policy. The Fed held rates steady at 3.50%-3.75% but removed some forward guidance from its statement, and Warsh did not submit his own "dot plot" interest rate forecast. The move reduces clear signals on future policy paths, which bond markets interpreted as introducing greater uncertainty. Consequently, short-term Treasury yields, like the 2-year, rose to multi-month highs as investors demanded higher yields to compensate for increased policy judgment risk. Warsh aims to break the "echo chamber" where markets overly focus on Fed signals rather than economic fundamentals. While some investors welcome potential reduced market speculation, others worry that less clarity will amplify volatility and raise borrowing costs. The review of Fed communication tools underscores a debate on balancing transparency with policy flexibility in a higher-rate environment.

marsbit13 min fa

Warsh’s First FOMC Chairmanship: Fed Provides Less Rate Guidance, Will US Bonds Become More Expensive?

marsbit13 min fa

The Final Piece of Franklin Templeton's Crypto Ambition

Franklin Templeton Completes Crypto Ambition with Acquisition of 250 Digital On June 22, Franklin Templeton announced the acquisition of 250 Digital and established Franklin Crypto, a new division focused on actively managed cryptocurrency strategies for institutional investors. The unit is led by Christopher Perkins and Seth Ginns. This acquisition marks a key piece in Franklin Templeton's multi-year crypto strategy, which began in 2018 with a digital assets team. The firm's crypto product suite now spans three layers: tokenized funds like the blockchain-based money market fund BENJI (~$831M AUM); a series of passive ETFs including Bitcoin (EZBC, ~$368M), Ethereum (EZET), XRP (XRPZ, ~$252M), Solana (SOEZ), and a multi-crypto index fund (EZPZ); and the newly added active management strategies from Franklin Crypto. The company has also expanded its crypto ecosystem through investments in projects like Ethena and Crossmint, and collaborations with blockchains such as Aptos and Sui. With approximately $18B in digital asset AUM and a total firm AUM of ~$1.78T, Franklin Templeton is positioning itself as a comprehensive crypto asset manager for pensions and sovereign wealth funds. In contrast, competitor Fidelity Investments has taken a different path, focusing early on building its own custody and trading infrastructure. Fidelity's Bitcoin ETF (FBTC) holds over $11B, significantly larger than Franklin Templeton's equivalent offering. Both giants' moves underscore the deepening trend of traditional finance entering the crypto space.

Foresight News31 min fa

The Final Piece of Franklin Templeton's Crypto Ambition

Foresight News31 min fa

Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

Federal Reserve Chair Kevin Warsh will testify before the House Financial Services Committee on July 14, providing his first monetary policy assessment to Congress. This hearing occurs weeks before the Federal Open Market Committee's next meeting and fulfills the Fed's biannual reporting requirement. Investors are closely watching for insights on inflation and interest rates. Attention has shifted to the upcoming Personal Consumption Expenditures price index data, with May's figures expected to show a 0.5% monthly increase. Due to persistent inflation, some institutions like Bank of America now forecast three quarter-point rate hikes in September, October, and December, a shift from earlier expectations of no changes this year. Markets currently see a low probability of a July rate hike but are increasingly pricing in tightening later in the year, with CME FedWatch data indicating over a 50% chance of a move by September.

TheNewsCrypto34 min fa

Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

TheNewsCrypto34 min fa

Trading

Spot
Futures
活动图片