德国联邦金融监管局打击加密货币ATM:扣押2500万欧元现金

币界网Pubblicato 2024-08-21Pubblicato ultima volta 2024-08-21

币界网报道:

德国联邦金融监管局(简称BaFin)在全国范围内打击加密货币自动柜员机(ATM),扣押了约2500万欧元(2800万美元)的现金。

打击加密货币ATM

根据昨天(星期二)发布的一份官方声明,德国监管机构突击搜查了全国35个地点,扣押了13台ATM机。该机构强调,这些自动取款机是“非法安装的”,没有根据《银行法》第32条进行登记。

监管德国金融市场的监管机构还指出,通过这些自动取款机兑换欧元和加密货币违反了该国现行的《银行法》。此外,它还引发了人们对洗钱风险的担忧。

一个庞大的加密货币ATM网络

根据Coin ATM Radar的数据,德国在多个城市安装了176台比特币ATM。这些机器大多位于杜塞尔多夫,其次是首都柏林,然后是斯图加特。

在全球范围内,随着加密货币价格的飙升,对加密货币ATM的需求在2021年达到顶峰。尽管其中许多地点去年关闭,但该行业正在复苏,自8月初以来,全球安装了266台自动取款机。

这些机器允许人们轻松买卖加密货币以换取现金。比特币可以从这些机器转移到用户持有的钱包。然而,与在线交易所相比,这些自动取款机的交易费用通常更高。

比特币仓库首席运营官Scott Buchanan强调,2023年全球加密ATM市场估计为1.821亿美元,预计2024年至2030年将以63.4%的复合年增长率增长。仅在2024年,全球就安装了2500多台新的加密货币ATM,这表明在2022年出现下跌后,市场呈强劲上升趋势。

德国监管机构进一步指出,如果运营商未能对超过10000欧元的交易进行适当的了解客户(KYC)检查,加密货币ATM可能会成为犯罪活动的温床。欧盟即将出台的加密资产市场监管(MiCA)将强制要求KYC和所有加密交易的报告。

与此同时,德国并不是第一个打击加密货币ATM的国家。英国金融行为监管局(FCA)在2023年关闭了26台非法运营的加密货币ATM。与德国监管机构一样,英国监管机构也对这些自动取款机可能被用于清洗犯罪所得表示担忧。

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The Next Generation of Payments Lies Not in the Payment Layer

The Next-Generation of Payment is Not in the Payment Layer This is the second piece in a series analyzing Stripe's AI strategy. The series stems from Stripe's vision of becoming the economic infrastructure for the AI Agent era, announced at Stripe Sessions 2026. A key debate centers on whether Know Your Agent (KYA) is merely an upgrade to existing payment systems. The author argues the opposite: payment will become a subsystem of KYA, not the other way around. Historically, major payment innovations (online banking, mobile wallets, QR codes) emerged from new transaction scenarios that broke the underlying assumptions of old systems, not from optimization within the payment layer itself. Agent economy is that new scenario, and KYA is the foundational infrastructure growing to support it. KYA's proposed five layers—Agent Identity, Authorization Scope, Intent Signing, Liability Chain Auditing, and Credit Rating—extend far beyond payments. Only authorization and auditing directly touch the payment链路. Identity, intent, and credit layers serve broader needs like cross-platform calls, AI alignment, and permission management. Stripe's strategic moves validate this view. Its focus on "economic infrastructure for AI," investments in protocols like Agentic Commerce Protocol (an identity/session protocol), Shared Payment Tokens, stablecoin infrastructure, embedded wallets, and its own Tempo blockchain for settlement, all point to building the KYA layer, not just optimizing payments. Data shows the core challenge in AI commerce has shifted upstream: determining "who this is, what they intend to do, and if they deserve resources" happens long before checkout. This is why Stripe is moving its Radar fraud prevention from the transaction moment to the entire user lifecycle—a KYA-layer concern. Legally, ultimate responsibility will still fall on a human, as laws like AB 316 dictate. However, in a distributed,网状 liability chain involving users, Agent platforms, model providers, and payment protocols, KYA's role is to use cryptography to make every entity's actions and roles verifiable and traceable. This enables accountability where it was previously impossible to pinpoint evidence, fundamentally changing责任追溯, not just payment efficiency. The next-generation payment形态 will not be designed within the payment layer. It will emerge from the Agent economy scenario after the KYA infrastructure is established.

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The Next Generation of Payments Lies Not in the Payment Layer

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The Next Generation of Payments Is Not in the Payment Layer

The next generation of payments won't be designed within the payment layer itself. This article argues that historical payment innovations (e.g., online banking, mobile wallets) emerged from new transactional scenarios, not from optimizing existing payment systems. The new scenario is the Agent economy. Know Your Agent (KYA) is not merely a payment-layer upgrade for efficiency. It is the foundational infrastructure layer for the Agent economy. KYA’s five layers—Agent identity, authorization scope, intent signature, accountability chain audit, and credit rating—primarily serve broader needs like cross-platform identification, AI alignment, and permission management. Payment is just one application built on top of this KYA foundation. Stripe’s strategy exemplifies this shift. Its focus on "economic infrastructure for AI," investments in protocols like the Agentic Commerce Protocol (identity/session layer), stablecoin infrastructure, embedded wallets, and moving risk management (Radar) to the user lifecycle all indicate it is building the KYA layer, not just optimizing payments. While ultimate legal liability remains with a human (as laws like AB 316 stipulate), KYA enables traceability in a distributed,网状 responsibility chain involving multiple entities (user, Agent platform, model provider, etc.). It makes accountability verifiable where previously it was opaque. The conclusion: A new class of economic actors (Agents) forces a new infrastructure layer (KYA) to emerge. This layer redefines identity, authorization, and accountability. On top of it, the next generation of payment will reorganize and emerge from the demands of the scenario, not from within the traditional payment system.

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The Next Generation of Payments Is Not in the Payment Layer

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The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

'The Big Short' Legend Michael Burry Doubles Down on AI Bet: Shorts Nvidia, Buys Beaten-Down Software Stocks As the Nasdaq hits record highs and Nvidia's market cap nears $5.3 trillion, Michael Burry—famed for his 2008 subprime mortgage bet—is making a major contrarian move. He is significantly expanding his bearish wagers against the AI frenzy while buying traditional software stocks he believes have been unfairly punished. Burry's latest portfolio adjustments, revealed in his Substack column, include maintaining and increasing put options on Nvidia and Palantir. He has also initiated new short positions on Palantir and expanded bearish bets on the semiconductor ETF (SOXX), the Nasdaq 100 ETF (QQQ), and Oracle. Simultaneously, he is buying shares of software companies like Adobe, Autodesk, Salesforce, and Veeva Systems. He argues these stocks have been sold off due to "AI disruption" fears and technical selling pressure from private credit funds, not deteriorating fundamentals. Their valuations have fallen to multi-year lows. This creates a complete hedge: short the perceived "AI winners" and long the oversold "AI losers." Burry believes the current AI infrastructure spending boom mirrors the late-1990s internet bubble, with inflated demand projections and questionable accounting practices by large cloud customers extending GPU depreciation schedules. While his Palantir short is currently profitable, his Nvidia put options are deeply underwater as the stock trades near all-time highs. Burry remains steadfast, comparing Nvidia to Cisco during the dot-com era. He anticipates a broad repricing of the AI bubble, where overvalued beneficiaries fall and unfairly battered companies rebound.

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The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

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151 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2025.03.21

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