Tag: Negative

  • OpenAI Sparks Price War, Validates DeepSeek’s Strategy

    OpenAI Sparks Price War, Validates DeepSeek’s Strategy

    OpenAI is reportedly considering significant price reductions for its developer and enterprise offerings, a move that could signal a broader shift in the generative AI market. The Wall Street Journal reported that these discussions are underway as OpenAI anticipates similar price cuts from competitor Anthropic. Both companies have reportedly filed confidentially for initial public offerings (IPOs) this month, underscoring a period of intense competition and financial pressure, as neither has yet achieved profitability.

    A Tightening Market

    “I think we’ll have a lot of ways we can help people get more value for less spend,” Sam Altman, OpenAI’s CEO, was quoted as saying at a recent event, according to The Wall Street Journal. This statement comes as OpenAI grappled with a challenging financial quarter. In Q1 2026, the company posted an adjusted operating margin of -122%, indicating a loss of $1.22 for every dollar earned.

    The competitive landscape is intensifying. As previously reported by Decrypt, ChatGPT’s dominance in global generative AI web traffic has waned, dropping from 77.6% in May 2025 to 53.7% by April 2026. Furthermore, the Ramp AI Index reveals that more companies are now subscribing to Anthropic’s services than OpenAI’s. Anthropic has experienced explosive growth, with its annualized run rate soaring from $9 billion at the end of 2025 to $47 billion by May 2026, a remarkable 422% increase in just five months. This surge is largely attributed to its Claude Code product, and Q2 2026 marked the company’s first profitable quarter.

    In response, OpenAI has prioritized its own coding tool, Codex, but faces the challenge of catching up in a rapidly evolving market.

    The “Tokenmaxxing” Frenzy

    Both OpenAI and Anthropic are engaged in a fierce battle to capture market share amidst what is being described as the most significant tech boom since the dot-com era. Businesses across all sectors are scrambling to integrate AI into their operations. Uber’s Chief Technology Officer, for instance, reportedly exhausted the company’s entire 2026 AI budget by April. Employees at JP Morgan are also spending more on AI tools than their own salaries, according to the bank’s chief data officer for its payments division.

    This phenomenon has been dubbed “tokenmaxxing” by Silicon Valley observers, referring to the practice of consuming vast quantities of AI tokens—the units of data processed by AI models—often without a clear return on investment. Palantir CEO Alex Karp likened the trend to a “porn addiction” at AIPCon last week, while JP Morgan analysts published a note this month titled “AI Bills Are Out of Control.” Companies most vulnerable to the fallout from this trend are those now contemplating price wars.

    Structural Pressures and Open Source Competition

    Tommy Shaughnessy of Delphi Ventures highlighted a structural challenge in a widely shared X post this week. He argued that the initial $20 per month flat fee for AI services was priced below the actual cost of heavy usage, serving as a loss-leader to drive adoption rather than cover compute expenses. As businesses scale their AI needs, they transition to API access, incurring per-token costs that consume significantly more computing power.

    However, this perspective is not universally shared. Some analysts believe that the concentration of AI capabilities in the Western hemisphere allows companies to command premium prices for prompt processing, citing the lower costs of Chinese AI models as evidence. If this is the case, substantial price adjustments might be feasible without jeopardizing financial stability.

    The competitive pressure is amplified by the rapid growth of open-source inference providers, which offer compute power for AI models. These platforms are increasingly supporting leading Chinese AI models such as DeepSeek, GLM, MiMo, Kimi, and Minimax. These models are demonstrating competitive performance on coding benchmarks, often at a fraction of the cost of closed-source alternatives.

    “Chinese labs open source frontier-grade models,” Shaughnessy wrote. “The model is the single biggest cost an inference provider has, and they get it for free.” This dynamic suggests a continuous downward pressure on AI intelligence pricing, making margin recovery a complex mathematical challenge for companies like OpenAI and Anthropic. The prevailing theory holds that this trend would only reverse if China were to shift towards closed-source models, which would then benefit U.S.-based AI labs. Thus far, China’s AI sector appears committed to an open-source approach.

  • Bithumb CEO Faces Bribery Probe Over Hiring Scandal

    Bithumb CEO Faces Bribery Probe Over Hiring Scandal

    Bithumb CEO Under Bribery Investigation in South Korea Over Lawmaker’s Son Hiring

    South Korean police are investigating Bithumb CEO Lee Jae-won over allegations of bribery connected to the hiring of individuals with ties to independent lawmaker Kim Byung-ki.

    According to Yonhap News, the Seoul Metropolitan Police Agency’s Public Crime Investigation Unit is examining claims that Lee approved the hiring of Kim’s second son following a direct employment request from the lawmaker.

    The investigation originated from statements made by a former aide to Kim, who had previously leveled other accusations against the lawmaker. This aide informed the police that Kim met with Lee at a Seoul restaurant in November 2024 and solicited the hiring of his son.

    Investigators suspect the alleged hiring may be linked to Kim’s actions while serving on the National Assembly’s Political Affairs Committee. Authorities believe Kim may have focused his legislative efforts on criticizing alleged monopolistic practices by Dunamu, the operator of rival cryptocurrency exchange Upbit, in exchange for his son securing employment at Bithumb.

    Earlier this month, police designated Lee as a bribery suspect during a second search warrant operation targeting Bithumb’s headquarters in Seoul’s Gangnam district and several associated locations. During an initial raid in February, investigators had already identified Kim as a suspect in connection with alleged preferential hiring practices related to his son’s recruitment, while Bithumb was listed as a witness.

    Police are currently reviewing materials seized during these searches and are expected to question individuals involved in the hiring process to determine their awareness of any job solicitation efforts.

    Beyond this hiring controversy, Bithumb has recently been involved in several other legal and compliance-related disputes. In May, a South Korean court issued a temporary injunction blocking a six-month partial business suspension imposed on the cryptocurrency exchange by the Financial Intelligence Unit (FIU).

    The court’s decision has halted the sanctions pending a final ruling on Bithumb’s legal challenge against the financial regulator. The FIU had accused the exchange of approximately 6.65 million violations of financial regulations, including failures in customer identity verification and transaction monitoring. Regulators also imposed a fine of 36.8 billion won on Bithumb and issued warnings to several company officials.

    In April, Bithumb initiated legal proceedings to freeze 7 Bitcoin that remained unaccounted for following a significant payout error during a promotional event. Due to a system input mistake, the exchange inadvertently distributed Bitcoin instead of Korean won to users. While most of the funds were quickly recovered, some recipients allegedly refused to return the remaining assets, prompting Bithumb to seek a provisional seizure.

  • XRP Faces Continued Downside Risks

    XRP Faces Continued Downside Risks

    XRP Price Faces Downside Pressure, Potential for Further Decline Below $1.080

    XRP has entered a period of correction, trading below the $1.150 mark and showing bearish signals that could lead to further declines, potentially testing the $1.080 level.

    XRP Price Turns Red

    The cryptocurrency struggled to maintain its position above the $1.1550 zone, initiating a downward correction that mirrors movements seen in Bitcoin and Ethereum. XRP’s price has fallen below key levels, including $1.150 and $1.1420, and has even dipped below the 50% Fibonacci retracement level of its recent upward move from a swing low of $1.050 to a high of $1.1862.

    Despite the bearish trend, bulls are currently defending the $1.10 support area. However, a bearish trend line has formed on the hourly chart of the XRP/USD pair, with resistance identified at $1.120. The price is currently trading below $1.1350 and its 100-hourly Simple Moving Average, suggesting continued downward pressure.

    Should XRP attempt a recovery, it may encounter resistance near the $1.120 level. The first significant resistance barrier lies around $1.1350. A decisive break above this level could propel the price towards $1.1420, and a sustained move beyond that might target the $1.1550 resistance. Further gains could then aim for the $1.1650 resistance, with the next major hurdle for buyers anticipated near $1.1840.

    Downside Continuation?

    Conversely, if XRP fails to overcome the $1.1350 resistance zone, a fresh decline could ensue. Initial support is observed around the $1.10 level. The next critical support is situated near $1.080, which also corresponds to the 76.4% Fibonacci retracement level of the recent upward swing.

    A breakdown below the $1.080 level, accompanied by a sustained close beneath it, could trigger further losses, pushing the price towards $1.0650. The subsequent major support is located in the $1.050 zone, and a break below this could lead to a test of the $1.020 level. Any additional downward momentum might see XRP retesting the $1.00 mark.

    Technical Indicators

    • Hourly MACD: The Moving Average Convergence Divergence for XRP/USD is currently losing momentum within the bearish territory.
    • Hourly RSI: The Relative Strength Index for XRP/USD has fallen below the 50 level.

    Major Support Levels: $1.1000, $1.0800
    Major Resistance Levels: $1.1200, $1.1350

  • Crypto Hackers Steal $36M+ Via Unverified Contracts

    Crypto Hackers Steal $36M+ Via Unverified Contracts

    Hackers Exploit Unverified Smart Contracts, Draining Millions

    A cryptocurrency hacker who siphoned $26 million from the Ethereum-based protocol Truebit in January likely honed their technique on smaller targets beforehand, according to blockchain analytics firm Chainalysis.

    A Contract Left Exposed for Years

    The Truebit exploit was the most significant of four incidents identified by Chainalysis in a new report covering the past six months. Collectively, these attacks—targeting Truebit, Trusted Volumes, Aperture Finance, and Ekubo—resulted in approximately $37 million in losses. All of these incidents were traced back to smart contracts whose source code had never been publicly verified on blockchain explorers.

    The Truebit contract had been deployed on Ethereum since 2021. It was compiled using Solidity v0.5.3, a version released before automatic overflow protections became standard. An attacker exploited an integer overflow flaw within its bonding curve mechanism, enabling them to mint large quantities of tokens at minimal cost before converting them to ETH.

    Why Closed Code Creates Open Risk

    Verified contracts undergo scrutiny. Bug bounty hunters examine them, and independent researchers flag potential issues before attackers can. Unverified contracts, however, lack this oversight. Many bug bounty programs specifically exclude them from coverage, meaning vulnerabilities can persist for years while significant funds flow through the affected code.

    Chainalysis suggests that attackers are now capitalizing on this gap. Each of the four compromised contracts lacked publicly available source code. Instead, attackers worked with decompiled bytecode, converting raw on-chain code into a readable format using tools such as Dedaub, Heimdall, and Panoramix. Once decompiled, the code can be processed by AI systems capable of identifying reentrancy flaws, arithmetic errors, and access-control weaknesses at a scale far beyond human capacity.

    While the $36.7 million figure represents a fraction of the total DeFi losses during the same period—Chainalysis estimates broader six-month theft totals exceeding $1 billion—the firm argues that the unverified contract problem could escalate. This is due to the increasing affordability and ease of use of automated analysis tools, which allow attackers to scan numerous dormant contracts and prioritize them by exploitability.

    The Vulnerabilities Varied, But the Pattern Did Not

    The specific vulnerabilities differed across the four incidents, with reported weaknesses ranging from integer overflow and access-control failures to input-validation errors and identity verification flaws.

    What these incidents shared was a common security gap: the absence of public source code, external review, and real-time monitoring to detect abnormal activity before funds were drained.

    Chainalysis recommends that protocols establish source-code verification as a fundamental requirement for any contract holding user assets. The firm also advises that audits and bug bounty coverage should extend to implementation contracts situated behind proxy structures—components that often remain unreviewed even when the front-facing contract is verified.

  • Bitcoin Enters Distribution Phase Amidst Investor Sell-Off

    Bitcoin Enters Distribution Phase Amidst Investor Sell-Off

    Bitcoin Enters Distribution Phase as Investors Increasingly Sell Into Strength

    The bullish momentum that propelled Bitcoin earlier this year appears to have waned, with the cryptocurrency now entering a distribution phase. This shift is characterized by investors opting to sell their holdings as prices rise, rather than increasing their exposure.

    According to the latest Bitfinex Alpha report, both on-chain data and market flow indicators suggest that Bitcoin has moved beyond the accumulation phase that fueled its earlier rally. This transition signals an impending period of significant selling pressure, potentially driving BTC prices down to levels not seen since early to mid-2024.

    Bitcoin experienced a notable dip below the $60,000 mark on June 5, a decline attributed to substantial outflows from spot exchange-traded funds (ETFs) and ongoing macroeconomic challenges. While the asset has since recovered, climbing back above this threshold in the past two days, analysts suggest this rebound may mask a more fundamental shift towards a distribution regime.

    During last week’s downturn, Bitcoin fell to a multi-year low of $59,200, a price point last observed in October 2024. This represented a 53% decrease from its all-time high in October 2025, a 28.5% drop from mid-May levels, and a 20% decline from the June monthly opening price. The cryptocurrency struggled to maintain the $60,000 level, a key support since February.

    Having retreated to its first-quarter 2026 consolidation zone, Bitcoin now faces two potential scenarios. The more optimistic outlook suggests a trading range between $60,000 and $72,000. Conversely, the worst-case scenario involves a price discovery phase at levels not witnessed since the maturation of the spot ETF market.

    Analysts believe the pessimistic scenario will materialize if Bitcoin breaks below $60,000 and remains there for an extended period. Current price movements are already constrained by previous range lows, influenced by factors such as ETF outflows and strategic Bitcoin sales.

    Additional contributors to Bitcoin’s current price trajectory include rising energy costs, robust labor market data, and tightening financial conditions imposed by the Federal Reserve. However, the most impactful factor is the contraction in spot demand, evident in a sharp reversal of the Spot Cumulative Volume Delta.

    “Spot Cumulative Volume Delta has transitioned into a clearly negative regime, reaching depths reminiscent of the significant liquidations seen in February. The data confirms that aggressive distribution, particularly by recent buyers, is currently the dominant force on exchange order books,” the analysts explained.

    As observed in previous distribution phases, Bitcoin can only re-enter an accumulation regime once sustained spot demand returns.

  • Raydium DEX Loses $1.34M in AMM Exploit

    Raydium DEX Loses $1.34M in AMM Exploit

    Raydium Suffers $1.34 Million Exploit Linked to Outdated Program

    Raydium, a decentralized exchange operating on the Solana blockchain, announced Wednesday that it had been the victim of an exploit resulting in a loss of $1.34 million. The incident is tied to the platform’s retired automated market maker (AMM) V3 program.

    Raydium Pools Drained

    The protocol reported that the attacker siphoned approximately 150,000 RAY tokens, 5,600 SOL, and nearly 900,000 USDC stablecoins from Raydium pools that included RAY-SOL, USDC-RAY, and SRM-RAY pairings.

    Raydium attributed the security breach to a flaw in how its older AMM V3 program handled liquidity provider (LP) mints. The platform stated that the vulnerability “stemmed from insufficient validation of the LP mints, which in practice allowed the attacker to bypass intended proportion checks.”

    According to the technical explanation, the legacy AMM V3 program failed to properly verify the LP mint address. This deficiency enabled an attacker to create a new mint and utilize it as the LP token, thereby circumventing the checks designed to regulate asset accounting within Raydium’s pools.

    The exchange stressed that the compromised AMM V3 program is no longer accessible through Raydium’s interface. It clarified that the legacy AMM V3 program was decommissioned in 2021 and is effectively unreachable via Raydium’s current user tools.

    Funds Traced Across Two Blockchains

    Details regarding the alleged money laundering activities were provided by blockchain security firm PeckShield. PeckShield outlined how the attacker’s funds were initially sourced from the KuCoin exchange and subsequently bridged from Solana to the Ethereum blockchain.

    PeckShield reported that 810 ETH had already been transferred to Tornado Cash, a privacy-focused cryptocurrency mixer, and an additional 7 ETH was moved to FixedFloat, a cryptocurrency exchange service. These movements were characterized as part of an active effort to launder the stolen Raydium funds.

    In its own analysis of the exploit, Raydium reiterated that its current programs remain unaffected by the incident. The exchange also confirmed that its core contributors are currently undertaking a comprehensive security review of all mainnet programs.

  • Anthropic Faces Backlash Over Claude Fable 5 Release

    Anthropic Faces Backlash Over Claude Fable 5 Release

    Anthropic’s unveiling of its most powerful public model on Tuesday was met with a swift and significant backlash from the artificial intelligence community by Wednesday.

    Claude Fable 5, the first publicly available iteration of the company’s restricted Mythos-class technology, has garnered praise for its coding prowess and impressive performance in general use. However, its launch has been marred by widespread criticism regarding its exorbitant token consumption, covert self-sabotage for specific research tasks, and a mandatory 30-day data retention policy for all users.

    The negative reaction was immediate and vocal, resonating across researchers, developers, founders, and open-source advocates, signaling more than just typical launch-day complaints.

    Costly Token Consumption

    Users’ initial concerns centered on Fable 5’s pricing structure. The model charges $10 per million input tokens and $50 per million output tokens, a doubling of the rates for Claude Opus 4.8.

    This aggressive pricing is compounded by its impact on subscription plans. Fable 5 counts double against usage limits compared to Opus, meaning users deplete their plan allowances twice as quickly. Early tests revealed extreme token consumption, with one user reporting their daily quota was exhausted by a single prompt. Bleeping Computer’s testing indicated that a $100 Max subscription’s daily allowance was consumed in under nine minutes.

    Scrimba CEO Per Borgen calculated that Fable 5 burned 1.3 million tokens in seven minutes, equating to an hourly cost of $160, or an annual salary equivalent of $333,000. Other users reported spending over $1,000 in tokens in a single day on a $200 subscription plan, with one CTO lamenting the inability to conduct meaningful testing due to rapid quota depletion.

    Anthropic attributes the high token usage in “Workflow mode” to its design of breaking down complex prompts into parallel subagent tasks, which inherently requires more compute. Additionally, a new system prompt, approximately 120,000 tokens long, is loaded into every new conversation. The company maintains that Fable 5’s per-task efficiency is superior, producing more comprehensive results with fewer iterations, a claim that has been met with skepticism by users experiencing rapid budget depletion on live subscriptions.

    Covert Self-Sabotage for Research

    A more damaging criticism emerged from Anthropic’s own documentation, which revealed that Fable 5 silently nerfs itself when it detects users are engaged in frontier large-language-model development. Instead of refusing to respond or falling back to a less capable model, it modifies prompts, steering vectors, or employs parameter-efficient fine-tuning without user notification.

    This covert degradation means researchers cannot be certain if they are receiving full Fable 5 responses or diminished Opus-level output. Anthropic stated in Fable’s System Card that these safeguards would not be visible to the user, unlike interventions for cybersecurity or distillation attempts.

    This distinction is critical for researchers. While an open refusal or a detectable fallback to a weaker model allows for understanding boundaries, a model that appears to assist while secretly delivering inferior results undermines scientific reproducibility. A failed outcome could be misattributed to the researcher’s methodology rather than an undisclosed model intervention.

    Anthropic estimated this would affect a mere 0.03% of traffic, a figure dismissed by the open-source and research communities as irrelevant to the principle at stake. Arthur Zucker, a core contributor at Hugging Face, expressed a loss of trust, stating, “My tokens will no longer fly your way.”

    Mikel Artetxe, cofounder of Reka AI, drew parallels to hypothetical scenarios where companies would sabotage competing technologies. He argued that the researchers most affected were academics, startups, and independent developers—the very individuals Anthropic’s safety rhetoric claims to protect. AlphaXiv, an open research platform, condemned the practice as a dangerous precedent, emphasizing that safety policies must be transparent and auditable.

    Nathan Lambert, formerly of the Allen Institute, characterized Anthropic’s actions as “anti science, and therefore anti progress and anti safety.” Pseudonymous user “CalleBTC,” a developer awaiting Fable to train a world model, accused Anthropic of stifling competition and acting unethically.

    Concerns were also raised that Fable’s restrictions might extend beyond specific topics, potentially influenced by how the model classifies users. One user reported being unable to interact with Fable 5 without disabling memory features, as the model identified them as a biomedical researcher.

    Mandatory Data Retention Policy

    The third major grievance directly impacts enterprise users but carries broader implications. Anthropic’s announcement mandates 30-day data retention for all traffic on Mythos-class models, including Fable 5, across all platforms, including third-party services like AWS Bedrock and Google Vertex AI. While Anthropic assures data deletion after 30 days in “almost all cases,” the policy poses significant challenges for companies handling sensitive information such as legal communications, healthcare records, or confidential source code. Users argue that existing privacy agreements need to be updated to guarantee data protection.

    The data retention policy also creates compliance issues for European companies operating under GDPR’s data minimization rules. Lisan al Gaib, a prominent figure in the AI community, highlighted that companies requiring zero data retention are effectively excluded from using Fable 5.

    Hugging Face CEO Clement Delangue framed these events within a larger concern about the concentration of power and wealth in AI, advocating for open science and open-source development. Another user criticized Anthropic’s CEO for allegedly being against the technology he creates, restricting knowledge and education in machine learning.

    Fable 5 is currently available for free on Pro, Max, Team, and Enterprise plans until June 22. Following this period, it will transition to usage credits only, with Anthropic stating broader access will be restored as capacity expands.

  • CFTC Rule Targets Prediction Market Bets on US Enemy Ouster

    CFTC Rule Targets Prediction Market Bets on US Enemy Ouster

    CFTC Proposes Strict New Rules for Prediction Markets, Targeting Controversial Wagering

    The Commodity Futures Trading Commission (CFTC) on Wednesday unveiled a comprehensive set of proposed rules designed to regulate the burgeoning prediction market sector. The new framework includes provisions that would effectively ban numerous types of controversial markets that have become prevalent on popular platforms such as Polymarket and Kalshi.

    Ban on Politically Charged and War-Related Markets

    Under the proposed regulations, wagers on the timing of a political leader’s removal from office would be prohibited if the potential path to such an outcome involves war or assassination. This move comes after platforms like Kalshi and Polymarket have previously attempted to circumvent existing prohibitions on war-related markets by offering ambiguously worded bets. These bets often focused on when perceived enemies of the U.S. government, including Iran’s Supreme Leader Ali Khamenei and Venezuelan President Nicolas Maduro, would be “out of office.”

    Markets of this nature, which have generated significant controversy and hundreds of millions of dollars in trading volume, would be barred by the CFTC’s new rules. An exception would be made only if these markets explicitly stipulated that they would resolve to “yes” solely in cases of non-violent outcomes, such as electoral defeat, resignation, constitutional removal, negotiated departure, or natural death.

    Focus on Ongoing Conflicts and Leadership Changes

    Prediction markets that speculate on the outcomes of ongoing U.S. conflicts abroad are currently active on both Polymarket and Kalshi. One notable Polymarket wager, which has seen over $14 million in trades, seeks to determine Iran’s leader by the end of 2026. The current Supreme Leader, Mojtaba Khamenei, is favored with 69% odds. His father, wife, and sister were reportedly killed in joint Israeli-American strikes on Tehran earlier this year.

    On Kalshi, a live market with $1.6 million in trading volume is tracking the odds of Reza Pahlavi, the former crown prince of Iran, taking control of the country by year’s end. Pahlavi, an exiled opponent of the Iranian regime, would likely only be in a position to assume power if the current government collapsed or was overthrown.

    Representatives for Polymarket and Kalshi did not immediately respond to requests for comment.

    Restrictions on Sports-Related Markets

    The CFTC’s proposed rules, detailed in a 267-page document, would also impose limitations on certain sports-related markets deemed susceptible to manipulation and contrary to the public interest. These include bets on individual player injuries, referee calls, specific player actions such as particular plays or fouls, and physical altercations between athletes.

    However, the CFTC generally views prediction markets on aggregate sports outcomes as permissible and consistent with existing regulations for event contracts. The proposed rulemaking states, “The Commission preliminarily believes that the record supports the conclusion that event contracts involving aggregate outcomes can be operated consistent with the public interest.”

    This stance has faced considerable opposition from both Republican and Democratic states, which have argued in federal lawsuits that sports-related prediction markets are essentially unregulated gambling and should be subject to state-level oversight. The U.S. Supreme Court is expected to ultimately rule on this matter.

    The CFTC’s proposed prediction market rules are now entering a 45-day public comment period, during which interested parties can submit their feedback directly to the agency.

  • Paradigm, Hyperliquid Challenge GENIUS Act Stablecoin AML Rule

    Paradigm, Hyperliquid Challenge GENIUS Act Stablecoin AML Rule

    Crypto Industry Groups Warn Proposed Stablecoin Rules Could Harm DeFi

    Washington D.C. – Two prominent crypto industry groups have cautioned U.S. regulators that proposed anti-money laundering rules for stablecoin issuers could inadvertently push regulated dollar tokens away from permissionless decentralized finance (DeFi) ecosystems. The concern stems from proposals that would hold issuers responsible for secondary market activity.

    In a letter submitted Tuesday to the Financial Crimes Enforcement Network (FinCEN) and the Office of Foreign Assets Control (OFAC), Paradigm and the Hyperliquid Policy Center challenged a proposed rule designed to implement the GENIUS Act’s anti-money laundering and sanctions requirements for permitted payment stablecoin issuers.

    “U.S.-regulated stablecoins power billions of dollars in daily trading, lending, and settlement,” the Hyperliquid Policy Center stated in a social media post accompanying the filing. “Our comment offers recommendations to preserve their critical role in onchain markets.”

    The industry groups warned that such an approach could create a “chilling effect,” discouraging issuers from deploying stablecoins on permissionless blockchains. This, they argued, could ultimately lead to “pulling U.S.-regulated stablecoins out of DeFi.”

    Paradigm and the Hyperliquid Policy Center advocate for a clear separation between primary issuance, where issuers have direct customer relationships, and secondary market activity. The latter involves stablecoins moving through wallets, DeFi applications, and validators beyond an issuer’s direct oversight.

    They contend that a wallet address merely holding or transferring a stablecoin should not be considered an issuer’s customer. Similarly, developers, protocol operators, and validators should be exempt from issuer-style obligations if they lack a direct relationship with the issuer.

    Applying issuer-level rules to secondary market transactions, the groups argued, would offer minimal benefit to regulators while potentially generating a significant volume of “noisy, false-positive-laden, low-value SARs” (suspicious activity reports).

    The core of the regulatory challenge lies in finding ways to police stablecoin usage without transforming nearly every market participant into a regulated intermediary.

    “Regulators are trying to make sure stablecoins do not become ‘a blind spot for sanctions enforcement and illicit finance’ as they grow as global payment rails,” Matthew Pinnock, COO at Altura DeFi, told Decrypt. He added that if stablecoins become central to dollar-based digital finance, regulators “need confidence that issuers can identify customers, block sanctioned actors, and cooperate with law enforcement.”

    However, Pinnock noted that achieving such confidence is difficult, as issuers often lose direct contact with users once stablecoins move into self-custodied wallets. He likened this to asking a bank to track “every cash transaction after money leaves an ATM.”

    Conversely, Siwon Huh, an analyst at crypto research firm Four Pillars, expressed concern that a broad carve-out for the secondary market could create enforcement gaps. Huh pointed to the “track record” of sanctioned entities, such as North Korea, in using dollar stablecoins as a “store of value and a means of moving money.” He warned that if issuers “bear no responsibility once a coin has been issued, their incentive to invest in blocking technology weakens.”

    Ambiguous rules could also pose significant risks for validators. The proposed regulations, if broadly interpreted, could encompass infrastructure operators on networks like Ethereum, Solana, and Hyperliquid, potentially prompting U.S.-based staking and infrastructure development to move offshore.

    “Where this can go too far is if the rules blur the line” between firms that manage customer relationships and those that merely provide infrastructure, Marcos Viriato, CEO and co-founder of Parfin, told Decrypt. He emphasized that overly broad obligations could make consistent application challenging, and that effective regulations should enhance compliance without introducing “unnecessary operational complexity.”

  • Europe Gains Crypto Ban Power; Russia Imposes USDT/USDC Fees

    Europe Gains Crypto Ban Power; Russia Imposes USDT/USDC Fees

    EU Unveils Sweeping Sanctions, Empowering Crypto Sector Bans on Nations

    Brussels, Belgium – European Commission President Ursula von der Leyen has announced the European Union’s 21st sanctions package against Russia, introducing a significant and unprecedented legal tool: the authority to prohibit all crypto-asset services operating from any foreign country found to be facilitating Russia’s evasion of sanctions.

    The announcement came on the same day that Russia’s Deputy Finance Minister Ivan Chebeskov, speaking at the SPIEF 2026 forum, declared the imposition of punitive fees of up to 3% on stablecoins linked to Western entities, including Tether (USDT) and USD Coin (USDC).

    This simultaneous policy shift marks an official fracturing of the global crypto market, a development that analysts have been anticipating for two years.

    The June 9 sanctions package represents a doctrinal escalation rather than an incremental tightening of existing measures. For the first time, the EU is proposing a mechanism that targets entire jurisdictions, not just individual entities. Previous sanctions packages have focused on naming specific exchanges, wallets, and individuals.

    The 21st package grants Brussels the power to designate an entire country’s crypto sector as off-limits if that nation is identified as hosting platforms that enable Russian entities to circumvent sanctions.

    President von der Leyen articulated the significance of this new tool, stating, “For the first time, we will introduce the possibility of a full third-country ban for crypto-asset services. It will act as a strong deterrent for the countries hosting platforms that help Russia evade our sanctions.”

    The enforcement process involves the European Commission identifying a foreign jurisdiction – with countries such as Turkey, the UAE, Kazakhstan, and Hong Kong reportedly under scrutiny as key intermediary hubs for Russian crypto flows. If the Commission determines that a jurisdiction is materially enabling sanctions evasion, it can then impose a blanket ban on all crypto-asset service activities connecting that country to EU-regulated markets. Consequently, any exchange, liquidity provider, or settlement layer interacting with that jurisdiction would be cut off from European counterparties.

    The 21st package also expands transaction bans to an additional 20 non-EU entities, including banks, crypto platforms, and oil traders, and adds 31 Russian banks to the existing transaction ban list.

    This action follows the 20th sanctions package, adopted on April 23 and effective May 24, which already prohibited all Russia-based crypto asset service providers as a category and explicitly banned dealings with the state-backed RUBx stablecoin and the digital ruble.

    Western crypto firms, already grappling with escalating compliance demands across multiple jurisdictions, now face a new layer of risk: third-country exposure. This is a challenge that current compliance manuals do not adequately address.

    Chainalysis, which previously described the 20th package as a “paradigm shift” from entity-level pressure to targeting the “evasion architecture itself,” now faces an even more complex analytical task. The 21st package necessitates that Virtual Asset Service Providers (VASPs) assess entire settlement ecosystems and jurisdictional exposure, moving beyond simply screening named individuals against sanctions lists.

    The rationale behind the emerging stablecoin ban architecture in Brussels is underscored by data indicating that the total value received by illicit crypto addresses reached $154 billion in 2025, with Russia-linked flows constituting a significant portion of this total.