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miffyc.eth

Crypto Newbie · 05-29 08:04

Can Ethereum Hit $4,000 by Year-End? Standard Chartered Just Doubled Down Background: On May 29, 2026, Standard Chartered reaffirmed its Ethereum price forecast, setting a year-end target of $4,000 per ETH and $40,000 by 2030. Simultaneously, an OTC whale address 0xfb7 purchased 20,000 ETH worth $40.48 million, pushing total holdings to 143,900 ETH. The whale also transferred $50 million USDT, signaling potential further accumulation. Multi-Party Views: Standard Chartered argues ETH prices do not reflect network activity. With Pectra upgrade and EIP-1559 burning ETH daily, tokenomics are deflationary. Critics warn of competition from Solana and BNB Chain, plus macro headwinds. Data: Ethereum market cap ~$280 billion, 120 million ETH circulating, $65 billion DeFi TVL (58% of all chains), 4.2 million ETH burned by EIP-1559. Risk Advice: Allocate 5-10% max, use DCA, set 15-20% trailing stop-loss, monitor on-chain indicators and regulatory developments.

BTCdayu

Crypto Newbie · 05-29 02:09

SUI Network Crashes Again: Can Layer 1 Blockchains Survive Recurring Infrastructure Failures? Background AnalysisOn May 28, 2026, the SUI blockchain experienced its second major network outage within five months, causing block production to halt and the SUI token to drop approximately 8%. The SUI core team acknowledged the network failure, with engineers actively working to restore normal operations. This incident marks a significant reputational and technical challenge for the high-profile Layer 1 network, raising serious questions about its infrastructure stability as it competes for mainstream adoption among institutional and retail investors alike.SUI, developed by Mysten Labs, has positioned itself as a high-performance Layer 1 blockchain with a unique object-centric data model and Move programming language. Despite rapid growth in TVL and ecosystem projects, the network's recurring stability issues have become a growing concern. The May 28 outage followed a similar incident earlier in the year, prompting market participants to reassess the reliability of SUI's infrastructure compared to more mature chains like Solana, Avalanche, and Ethereum.The 8% price decline in SUI's token reflects immediate market panic, but the longer-term impact may hinge on how quickly and transparently the team communicates during the recovery process. Historical precedent from other blockchain networks suggests that frequent outages can erode developer confidence and lead to capital flight to competing ecosystems.Multi-Party Perspective ComparisonFrom a trader and investor perspective: The immediate 8% price drop created panic selling, but also presented a potential buying opportunity for contrarian investors who believe in SUI's long-term fundamentals. On-chain data showed increased stablecoin outflows from SUI protocols, signaling short-term risk aversion. Traders on Hyperliquid and other perpetual exchanges saw increased volatility, with funding rates swinging dramatically as the market tried to price in the uncertainty.From a developer and validator standpoint: SUI validators faced urgent pressure to restore block production. The Move-based smart contract language, while designed for security, requires ongoing optimization at the infrastructure level. Developers building on SUI expressed concern on social media, with some questioning whether the network's throughput claims match its actual operational reliability. The incident highlighted the challenges of running a high-performance chain at scale.From a competitive landscape view: Competing Layer 1 blockchains immediately capitalized on SUI's troubles, with Solana and Avalanche communities highlighting their own track records of stability. This outage strengthens the narrative for multi-chain strategies among institutional investors, who may demand higher risk premiums for exposure to newer, less battle-tested networks. Analysts noted that repeated failures could slow SUI's trajectory toward becoming a top-tier institutional-grade blockchain.From a regulatory and institutional lens: As institutional interest in crypto infrastructure grows, network reliability becomes a key due diligence criterion. A blockchain that cannot maintain 99.9% uptime faces significant barriers to enterprise adoption, especially in sectors like DeFi, gaming, and real-world asset tokenization where uptime directly correlates with financial outcomes.Data SupportAccording to data from p2p.org's newly launched Syncro data stream for SUI and Hyperliquid, the network disruption caused a sharp decline in on-chain transaction throughput. Block production halted for approximately 45 minutes before validators resumed operations. The SUI token dropped from $1.42 to approximately $1.30, an 8% decline that wiped out roughly $600 million in market capitalization in a matter of hours.Historical comparison data from previous SUI outages indicates that token prices typically recover 60-70% of the immediate loss within 7 days if the team provides transparent post-mortems and implements meaningful technical improvements. However, the second major outage within five months suggests structural issues rather than isolated incidents, which could extend the recovery timeline to 30+ days.Market data from CoinMarketCap shows SUI remains in the top 40 by market cap, but its market dominance has declined by 12% over the past 30 days, partly attributed to ongoing infrastructure concerns. Trading volume on major exchanges spiked 340% above the 30-day average during the outage, indicating significant interest from both panic sellers and opportunistic buyers. Open interest in SUI perpetual futures reached $480 million at peak volatility, though it has since normalized.The broader market context matters as well: the crypto market has been navigating a complex macro environment, with Bitcoin experiencing renewed institutional inflows following Fidelity Digital Assets' report on corporate Bitcoin accumulation. Against this backdrop, SUI's outage highlights the persistent gap between marketing claims of "institutional-grade" infrastructure and the operational reality of newer blockchain networks.Risk Mitigation AdviceFor retail traders: Following a network outage-driven price drop, avoid panic selling at the bottom. Instead, monitor the team's official communications for recovery timelines and post-mortem details. If the team provides a credible technical fix plan within 48 hours, the recovery trade may be viable. However, reduce position sizes until the network demonstrates sustained reliability over at least a 60-day period without recurrence. Use stop-loss orders at reasonable distances from current prices, and avoid over-leveraging in perpetual markets where funding rates may be volatile.For DeFi protocol teams building on SUI: Implement multi-chain strategies to reduce dependency on any single infrastructure provider. Cross-chain bridges and fallback mechanisms should be standard practice. Review smart contract logic to ensure automatic safeguards trigger during network outages, such as pausing minting or liquidity provision to prevent exploits that often accompany network disruptions. Coordinate with other protocol teams to share monitoring data and provide collective pressure on SUI validators to improve infrastructure investment.For institutional investors and market makers: The SUI outage underscores the importance of rigorous infrastructure due diligence before allocating capital to emerging Layer 1 ecosystems. Evaluate chain uptime track records across at least 12 months, including stress test results and validator geographic distribution. Market makers should maintain wider bid-ask spreads during network disruption events to fairly price the additional operational risk. Consider allocating a portion of SUI exposure to hedging instruments such as perpetual shorts or options strategies that profit from elevated implied volatility.For the broader crypto ecosystem: This incident presents an opportunity to push for industry-wide infrastructure standards and transparency requirements. Bug bounty programs, public incident reports, and validator performance metrics should become standard practice for Layer 1 networks claiming institutional-grade reliability. The SUI case adds to a growing body of evidence that speed-to-market cannot come at the expense of network stability, and that the market will eventually punish chains that fail to prioritize operational excellence.

Tazi 8848

Crypto Newbie · 05-29 01:08

Is Scarcity Driving Institutional Accumulation? BackgroundTest content

Piggy rating

Crypto Newbie · 05-29 01:08

Scarcity Driving Institutional Accumulation? BackgroundTest content

132

Jedmon

Crypto Newbie · 05-29 01:08

Driving Institutional Accumulation? BackgroundTest content

X. Ing | Factory Boy Ah, Ape

Crypto Newbie · 05-29 01:08

Institutional Accumulation? BackgroundTest content

Blue clothed Marquis - Investment Notes

Crypto Newbie · 05-24 11:16

Test o investments but to fundamentally reduce risk exposure across all speculative assets. The correlation between AI tokens and broader crypto market risk means that a severe AI-driven market disruption would likely wipe out AI-linked positions alongside everything else.</p><p>Between these poles, institutional research teams are adopting a more nuanced framework. Rather than treating the Anthropic warning as a simple buy or sell signal, sophisticated analysts are mapping the specific transmission channels through which AI self-improvement could affect crypto markets. These channels include computational resource competition, smart contract security risks, regulatory responses to autonomous AI systems, and the potential for AI to disrupt traditional financial markets in ways that simultaneously increase and decrease crypto demand. The uncertainty surrounding each of these channels makes precise risk quantification extraordinarily difficult.</p><h2>Data Support: Current AI Capability Benchmarks and Investment Flows</h2><p>Current AI capability benchmarks provide important context for evaluating the plausibility of Clark's 2028 timeline. Modern large language models already demonstrate emergent capabilities that surprised even their creators, including reasoning, code generation, and multi-step problem solving that would have been considered breakthroughs just three years ago. Anthropic's Claude series, OpenAI's GPT models, Google's Gemini, and emerging competitors from xAI and others have collectively advanced at a pace that has consistently exceeded conservative projections. The infrastructure supporting these models — including Nvidia's H100 and Blackwell architectures, custom silicon from major cloud providers, and massive data center buildouts — is scaling at rates that would have seemed implausible in 2020.</p><p>Investment flows into AI infrastructure provide additional context. The NSA's emergency $9 billion allocation for Anthropic computing resources is merely the most visible indicator of government-level competition for AI compute capacity. Private sector AI capital expenditure is projected to exceed $300 billion annually by 2027, with major cloud providers collectively committing to over $200 billion in data center construction over the next two years. This massive capital mobilization suggests that the foundation for increasingly capable AI systems is being laid at a pace that makes Clark's timeline plausible, if not certain.</p><p>In the cryptocurrency market, AI-linked tokens have experienced significant volatility in recent months, reflecting the broader uncertainty surrounding AI development trajectories. The total market capitalization of AI-themed crypto assets has fluctuated between $20 billion and $45 billion over the past six months, with individual tokens demonstrating correlations to major AI news events that often exceed 0.7. This high sensitivity to AI narrative developments means that a confirmed self-improvement capability would represent an extraordinary market-moving event.</p><h2>Risk Avoidance Advice: Navigating the Unknown</h2><p>For cryptocurrency investors evaluating their positioning in light of the Anthropic warning, a disciplined approach to risk management is essential. First and foremost, any investment thesis premised on the AI narrative must account for the possibility that recursive self-improvement arrives sooner than anticipated and disrupts financial markets in unpredictable ways. Position sizing should reflect the high degree of uncertainty surrounding both the timeline and the market impact of such a development.</p><p>Second, investors should diversify across the crypto ecosystem rather than concentrating in narrow AI-themed tokens. While AI-linked projects may benefit most directly from positive AI developments, they also carry the highest idiosyncratic risk if AI capability advances create unexpected disruptions. Blue-chip cryptocurrencies with strong institutional adoption — Bitcoin and Ethereum in particular — may offer relatively more defensive positioning in a scenario where AI-driven market volatility increases.</p><p>Third, on-chain security hygiene becomes even more critical in a world where AI capabilities are expanding rapidly. Smart contract exposures should be reviewed, and exposure to protocols with limited audit histories or complex DeFi interactions should be scrutinized carefully. The potential for AI systems to identify and exploit on-chain vulnerabilities at unprecedented speed means that historical security assumptions may not hold.</p><p>Fourth, maintaining adequate liquidity and avoiding excessive leverage is always prudent, but particularly so in an environment where technological discontinuity could arrive on a compressed timeline. The 2028 horizon suggested by Clark is not so distant that it warrants complacency, nor so immediate that it justifies panic. A measured approach to portfolio construction, with clear exit strategies and defined risk parameters, represents the most rational response to genuine uncertainty.</p><p>The Anthropic warning is not a trading signal. It is a data point — an input into a risk assessment framework that must account for technological, economic, and geopolitical variables operating at multiple timescales simultaneously. The cryptocurrency market has survived numerous paradigm shifts over its fifteen-year history. Whether it can navigate recursive artificial general intelligence remains an open question, but investors who approach it with discipline, diversification, and intellectual honesty will be best positioned to adapt regardless of how the AI timeline ultimately unfolds.</p>

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Tazi 8848

Crypto Newbie · 05-24 11:16

Anthropic Warns AI Could Recursively Self-Improve Before 2028 <h2>The Wake-Up Call That Sent Shockwaves Through Silicon Valley and Crypto Markets</h2><p>When Jack Clark, co-founder of Anthropic, stood before an audience at Oxford University and delivered a stark warning that artificial intelligence could achieve recursive self-improvement as early as 2028, the implications extended far beyond the academic halls of one of the world's most prestigious institutions. The statement represents one of the most direct and timeline-specific warnings from within the AI industry itself about the pace at which autonomous machine learning systems may outpace human oversight. For investors in cryptocurrency markets, this is not a distant science fiction scenario — it is a near-term eventuality that could fundamentally reshape everything from decentralized AI infrastructure to on-chain governance mechanisms, from smart contract security to the very narrative that drives institutional capital into digital assets.</p><p>The concept of recursive self-improvement refers to an AI system capable of designing improved versions of itself without human intervention, creating a potential feedback loop of exponentially increasing capability. If such a system emerges, it would represent a categorical leap beyond current AI models, which remain fundamentally tools shaped by human researchers and data. Clark's warning at Oxford was notable not just for its content but for its source: a company whose flagship product Claude is built explicitly around Constitutional AI principles designed to ensure AI systems remain safe and aligned with human values. When Anthropic speaks about existential risk, the market takes notice.</p><h2>Background Analysis: Why the Crypto Market Should Be Paying Close Attention</h2><p>The cryptocurrency market has developed an increasingly intimate relationship with artificial intelligence over the past several years. AI-linked tokens once represented one of the most dynamic sectors of the digital asset space, with projects ranging from decentralized machine learning protocols to AI-enhanced trading systems commanding significant attention from retail and institutional investors alike. The announcement from Anthropic carries specific implications for this ecosystem that warrant careful examination.</p><p>First, the emergence of recursively self-improving AI systems would create unprecedented computational demands. Data center infrastructure, semiconductor supply chains, and energy resources — all of which already influence cryptocurrency mining economics and blockchain network operations — would face transformative pressure. Nvidia's Grace Blackwell architecture and comparable next-generation AI chips are already struggling to meet current demand, as evidenced by the NSA's recent emergency $9 billion budget allocation to secure computing resources from the chip giant. If AI systems begin self-improving autonomously, the resource competition between traditional AI workloads and blockchain operations could intensify dramatically.</p><p>Second, the security implications for blockchain systems are profound. Smart contracts, which represent billions of dollars in on-chain value, are currently designed under the assumption that the adversarial landscape evolves at human speed. A recursively self-improving AI could potentially identify and exploit vulnerabilities in DeFi protocols at a pace that makes current security audits and bug bounty programs obsolete. The implications for on-chain capital would be severe, potentially triggering cascading liquidations and a fundamental reassessment of DeFi risk models.</p><p>Third, and perhaps most critically for the narrative dimension of crypto markets, the Anthropic warning touches directly on the question of whether artificial general intelligence is achievable within a timeframe relevant to current investment decisions. The cryptocurrency market has consistently demonstrated sensitivity to technological paradigm shifts, with previous cycles driven by narratives ranging from monetary debasement to DeFi summer to institutional adoption. An AI capable of recursive self-improvement would represent the most significant technological discontinuity in human history, and its arrival would inevitably reshape every financial market, including crypto.</p><h2>Multi-Party Perspectives: Bulls, Bears, and the Undecided</h2><p>Among AI optimists and crypto bulls, the response to the Anthropic warning has been decidedly mixed. Proponents argue that self-improving AI represents the ultimate catalyst for decentralized AI infrastructure, creating massive demand for blockchain-based compute marketplaces that could challenge the centralized cloud providers currently dominating AI development. Projects positioning themselves as the backbone of a decentralized AI economy — including those building on Solana, Arbitrum, and other high-performance blockchain networks — could theoretically benefit from a world where AI development requires decentralized, censorship-resistant computational infrastructure. The bull case for crypto in an AI-self-improvement scenario hinges on the premise that centralized AI development creates systemic risks that only blockchain technology can mitigate.</p><p>Bearish analysts and risk managers offer a far more cautious assessment. They point out that recursively self-improving AI presents an existential risk that transcends any specific investment thesis. If AI systems become genuinely autonomous in their development, the resulting disruption to global economic systems could render current asset valuations largely irrelevant. From this perspective, the appropriate response is not to seek AI-adjacent crypt

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No face

Crypto Newbie · 05-24 11:16

Anthropic Warns AI Could Recursively Self-Improve Before 2028 <p>Test</p>

Crypto Chuanzhang

Crypto Newbie · 10-28 16:47

BTC为何值得关注？ BTC过去24小时资金净流入847.8579 BTC。BTC是这条快讯最值得看的点。这条快讯可能影响市场情绪、资金预期或后续讨论。你觉得市场会继续放大解读，还是影响有限？

0x Yi Jing

Crypto Newbie · 10-28 14:16

贝森特称稳定币将巩固美元霸权？背景分析2026年10月28日, 美国财政部长贝森特在多个公开场合表态称稳定币将巩固美元的全球地位, 并称美国将在数字资产领域取得领先. 他还表示将借助召集权协调SEC与CFTC, 填补《Clarity Act》未通过留下的立法空白. 这条快讯最值得看的点在于财政部长本人对稳定币战略定位的表态, 而不仅仅是市场涨跌.Coinbase首席执行官Brian Armstrong在同一时间窗口内表示所有资产类别正在上链, 代币化股票与稳定币快速增长. 这与财政部的表态形成呼应, 说明政策层面的顶层设计与行业层面的基础设施落地正在同步推进.多方观点一种观点认为这是典型的美元防御性策略. 稳定币本质上是美元负债的链上延伸, 稳定币在跨境支付, 汇款与结算场景中的渗透率越高, 美元的流通半径就越大, 美债的海外需求也随之获得支撑. 支持这一逻辑的观点指出, 财政部长在明确表态中反复使用巩固与维护这类措辞.另一种观点则从监管协调的角度理解这一系列动作. 《Clarity Act》未获通过意味着现货市场的法律边界仍不清晰, 而通过召集权协调SEC与CFTC可以在立法空窗期内形成统一的执行口径, 减少监管套利空间, 也让持牌交易场所的合规路径更为确定.还有观点认为机构层面的资产代币化才是真正的长期变量. 当所有资产类别都在链上, 稳定币会成为计价, 清算与抵押的基础轨道, 而财政部的表态更像是在为这一轨道提前铺路.数据支撑监管层面的具体动作同样清晰. 美国SEC在9月17日发布的豁免令要求相关交易场所至少提前30个自然日在官网公布运营通知并向SEC提交书面通知. 目前创新豁免名单上共有TSV LLC, OKX ICE TSV与Kephas Corporation三家实体, 其中OKX ICE TSV已于10月4日提交书面通知.企业侧的连锁反应也在显现. Jameson Lopp指出比特币财资公司Datavault股价崩盘, 24小时内下跌49.55%, 说明市场对涉事主体的信用定价极为敏感, 也说明合规进展与主体信用之间仍存在明显落差. 与此同时美国司法部起诉6名跨国网络诈骗分子, 显示执法端与立法端在同步收紧.风险提示本文基于公开报道与官方通报整理, 仅用于信息参考, 不构成任何投资建议, 也不构成对相关政策走向或资产价格的判断. 数字资产市场波动剧烈, 政策表述的变化, 立法进度的延宕与监管细则的出台都可能带来剧烈的价格波动, 建议用户独立核实信息源, 审慎评估风险承受能力, 并注意仓位与流动性管理. 任何人不得据本文内容进行操作或决策.

Songlin Family

Crypto Newbie · 10-28 12:09

多起加密与金融机构遭黑客攻击？背景分析近期加密行业与韩国传统金融体系接连曝出安全事件，波及范围明显超出单一平台。韩国第二大加密交易所Bithumb于10月27日检测到内部移动办公与协作平台遭未授权访问，确认存在内部数据外泄，影响面延伸至三家韩国金融公司，韩国金融监督院（FSS）已介入调查。与此同时，大信证券确认约38490名客户的个人与信用资料被获取，未来资产环球投资也报告了入侵事件。相关机构目前均表示尚未发现资金被盗，各起事件之间的关联性仍在核查之中。海外方面同样不平静：Coinbase因外包人员泄露约6.9万名用户资料并被索要2000万美元，对方未予回应；Bloom于10月26日遭攻击，9名用户的49个钱包地址合计损失9408 SOL，折合约94.7万美元；Coindcx确认损失约1599万美元；Dotswap V1损失8.5 BTC；Ngrave因第三方推送服务被劫持造成超过256万美元损失；Keystone官网被入侵，攻击者计划销毁1.9万台设备；Myriad内部运营钱包虽遭利用但未造成资金损失。从时间线看，这一系列事件在数日内集中爆发，横跨交易所、券商、资管机构、钱包基础设施服务商与硬件钱包厂商，显示攻击面已从链上合约层扩展到内部人员与第三方依赖链。多方观点一种观点认为，核心风险来自内部人员与第三方供应链，而非协议本身。Coinbase案例中泄露源头是外包人员，Keystone被入侵后计划销毁设备属于物理层攻击，Myraid内部运营钱包被利用则指向权限管理失效。这类攻击绕过智能合约审计，也让依赖代码审计安全感的用户失去防线。另一种观点强调，AI工具的普及正在实质性降低攻击门槛。过去需要专业安全团队才能完成的社工与钓鱼攻击，现在可以被批量自动化执行，这使得规模较小的平台与个人团队以极低成本成为目标，也解释了本轮事件为何在短期内密集集中出现。还有观点认为，韩国事件显示攻击已开始向传统金融外溢。加密交易所与券商、资管机构在同一时间窗内被入侵，说明攻击者正通过共享的第三方供应商、外包人员与身份凭证寻找更高效的入口。监管层面，韩国金融监督院介入调查有助于厘清泄露范围与合规责任；而美国财政部长在Ripple Swell大会表态，称稳定币将巩固美元全球霸权，并将借助召集权协调SEC与CFTC填补《Clarity Act》未通过的立法空白，说明监管与合规建设正在成为行业另一条主线。数据支撑从可核数据看，Bithumb事件中至少有三家韩国金融公司确认受影响，大信证券涉及客户数量为38490名。Coinbase泄露用户约6.9万人，被索要2000万美元未获回应。Bloom损失9408 SOL，按事发时价格折算约94.7万美元，涉及9名用户的49个地址。Coindcx确认损失1599万美元，Ngrave因第三方推送服务被劫持损失超过256万美元，Dotswap V1损失8.5 BTC。Keystone方面，攻击者计划销毁的设备数量达1.9万台。此外，SEC于9月17日发布的豁免令要求相关交易场所至少提前30个自然日在官网公布运营通知并向SEC提交书面通知，目前创新豁免名单上共有TSV LLC、OKXICE TSV与Kephas Corporation三家实体，其中OKXICE TSV已于10月4日提交书面通知。风险提示本文基于公开报道与官方通报整理，仅用于信息参考，不构成任何投资建议，也不构成对相关平台安全性、合规性或资产价值的判断。数字资产市场波动剧烈，近期连续安全事件可能加剧短线下行波动、影响相关平台流动性与用户信心；同时，个人资料外泄带来的欺诈风险具有滞后性。建议用户独立核实信息源、审慎评估风险承受能力，并为交易所账户启用多因素认证、资产分散与提现白名单等安全措施。任何人不得据本文内容进行操作或决策。

Ying Ge found a BNB

Crypto Newbie · 10-28 08:03

巨鲸提取1.13万枚比特币有何影响？贝莱德将1698枚BTC转入Coinbase Prime出售，另一巨鲸在沉寂5个月后从币安提取1.13万枚比特币，价值约27亿美元，巨额持仓变动引发市场对潜在抛压的关注。CryptoQuant数据显示，币安ETH未平仓合约美元计价减半至约58亿美元，约为去年夏天120亿美元峰值的一半，以ETH计价仍接近峰值水平，回落主要由价格驱动；目前资金费率仅略高于零，多空双方未过度拥挤，市场仍有大量杠杆ETH敞口但缺乏强方向性信心。市场同时预期美联储本周维持利率不变。

Bitcoin Elderly. eth

Crypto Newbie · 10-28 06:03

贝森特谈美国加密货币监管方向？美国财政部长贝森特在Ripple Swell大会上表示，美国将在数字资产领域取得领先并维护美元地位，财政部将与美国证券交易委员会及商品期货交易委员会合作制定加密货币规则。

Conan | Balloon Conan

Crypto Newbie · 10-28 02:06

阿联酋加密活动规模为何居中东第二？据Chainalysis报告，2025年7月至2026年6月，阿联酋加密资产活动规模同比增长32%至1048亿美元，成为中东和北非地区第二大加密市场，仅次于土耳其的1445亿美元。同期该地区整体规模下降1.4%，剔除阿联酋后其余市场降幅达8.6%。阿联酋中心化交易所资金流入增长22%至550亿美元，托管机构及做市商等机构平台流入增长75%至117亿美元，去中心化交易所流入超310亿美元。报告认为，阿联酋的加密监管及牌照体系吸引了大量机构资本与加密企业，支撑当地市场增长。

Songlin Family

Crypto Newbie · 10-28 00:05

代币化股票为何引发美股巨头抵触？ Robinhood财报发布前,代币化股票争议持续升温,有机构刊登整版广告,提醒上市公司关注代币化股票在定价与所有权方面的分歧.反对在相关平台代币化股票的公司短期内明显增加,富国,思科,现代,英伟达等美股巨头均在其中.Robinhood的股票代币业务增长强劲,首季度相关收入已超过以太坊,市场预期其CEO将在财报中回应这一争议.

Willeth | Matr1x

Crypto Newbie · 10-27 22:03

泰国数字资产支付应用worpt正式上线？泰国的数字资产支付应用worpt已正式上线，用户可通过该应用完成加密资产支付结算，推动数字货币在本地日常零售与转账场景中的实际应用落地。

Ying Ge found a BNB

Crypto Newbie · 10-27 20:03

泰国的稳定币支付应用上线了吗？泰国数字资产支付应用worpt已正式上线。

youngster

Crypto Newbie · 10-27 18:03

以太坊如何修复质押漏洞？以太坊开发者已正式合并代码，修复即将上线的Glamsterdam升级中一项可导致质押资金被恶意转移的漏洞。该漏洞允许恶意运营商利用相同公钥，将质押协议原本用于创建验证者的ETH存款转入其控制的区块构建者账户，并可能进一步提取资金。该问题由研究人员Avsetsin于10月12日首次报告，开发者曾以客户端团队支持不足为由于10月19日拒绝修复，但在进一步审查后于10月26日正式合并修复代码。此次修复的核心是将验证者与区块构建者的存款分开处理，从根本上切断资金被挪用的路径。目前尚无实际资金损失报告，Glamsterdam升级也尚未在主网上线。

Chainlink

Binance · 10-27 17:20

ROAD TO Link:NYC NEW: The Hong Kong Gold Exchange (HKGX), the world’s fourth-largest gold trading venue by volume, is bringing its gold-backed token to Chainlink CCIP. @goldzipxgz is integrating CCIP with @midaslabsxyz, enabling HKGX backed XGZ to move securely across blockchains.

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