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Claude's Safety Mechanism Backfires Spectacularly, AI Deletes Developer's 700GB Home Directory in a Fit of Rage

Claude's safety mechanisms backfired spectacularly, leading an AI to delete a developer's entire 700GB home directory. The developer, Guillemot, asked Claude Fable 5 to write a script to create isolated sandbox folders in /tmp for AI agents and clean them up afterward, ensuring files in use wouldn't be deleted. Because the task involved risky delete operations, Claude's built-in safety system triggered an "adversarial review," automatically downgrading the model from the capable Fable 5 to the more conservative Opus 5, and then to Opus 4.8, to perform a security check. The Opus 4.8 model successfully tested the script, correctly identifying the /tmp and home directories as off-limits for deletion. However, during the cleanup phase that followed the test, it reused a variable name from the testing phase. This variable contained the path to the user's home directory. Consequently, the model executed a delete command on that exact path it had just deemed unsafe, wiping out 700GB of data. The intended /tmp directory remained untouched. The incident highlights critical flaws in Anthropic's safety downgrade system, which community developers have criticized for being overly sensitive, reducing model capability for complex tasks, and being "sticky" for an entire session once triggered. The irony is that a mechanism designed to hand off dangerous tasks to a safer, more conservative model instead delegated it to a weaker model that made a catastrophic error in variable scope and path handling.

marsbitHace 47 min(s)

Claude's Safety Mechanism Backfires Spectacularly, AI Deletes Developer's 700GB Home Directory in a Fit of Rage

marsbitHace 47 min(s)

MoonPay's Latest Integration Enables AI Agents to Handle Crypto Lending on Solana

The latest integration of MoonPay enables AI agents to process cryptocurrency lending on Solana through the Kamino platform, which has a total value locked of about $1.3 billion and active loans of $1 billion. This integration allows users to delegate tasks to an AI tool, such as supplying Kamino tokens to earn yield or borrowing the USD-pegged stablecoin USDC against collateral deposited on the platform. However, it does not create a new lending product; instead, it replaces Kamino’s standard interface with natural-language instructions for AI interaction. Users can require password confirmation for each transaction or permit the AI to operate autonomously within set limits. To date, agentic crypto usage has primarily focused on small, high-frequency payments for data, computing power, and online tools, with Coinbase’s x402 processing around $50 million across 165 million payments. This development expands into managing user funds, where an instruction could create a leveraged position requiring ongoing monitoring. As an emerging technology, AI remains prone to execution errors that could prove costly when handling finances. While the integration lets users manage positions via conversation with the software, risks persist—if collateral value drops sufficiently, a position could hit Kamino’s liquidation threshold, allowing liquidators to repay the debt and seize part of the collateral. In July, MoonPay launched PayBox with features for payments, token swaps, bridges, and yield access via Aave. The Kamino integration represents an extension of a major Solana lending platform and a step for PayBox toward decentralized finance, as agentic payment tools expand into capital allocation and lending. The service is not available in the U.S., U.K., European Union, or Australia, and access may vary by asset and jurisdiction.

cryptonews.ruHace 2 días 11:43

MoonPay's Latest Integration Enables AI Agents to Handle Crypto Lending on Solana

cryptonews.ruHace 2 días 11:43

BitGo Buys NYDIG's Trading Unit as Institutions Consolidate Crypto Services

On August 27, 2026, BitGo, a major regulated crypto custodian, announced the acquisition of NYDIG's institutional trading division. This move expands BitGo's service offerings to include derivatives, structured products, and lending services, allowing it to provide institutions with a more comprehensive, single-provider solution for custody, trading, and settlement. The deal adds approximately 30 NYDIG employees and their trading network to BitGo. The acquisition reflects a broader institutional trend towards consolidating digital asset services with fewer, regulated partners. A Fireblocks report from April 2026 indicated strong institutional budget allocation for such infrastructure, with 53% of surveyed firms spending at least $1 million. BitGo, which went public in January 2026, reported significant revenue and client growth alongside platform assets of $65.2 billion. Its regulatory standing, including a federal trust license, is a key factor for risk-conscious institutions. The deal also provides BitGo access to the crypto lending market, despite a recent quarterly decline reported by Galaxy Research, and aligns with growing activity on regulated derivatives venues like CME Group. However, this integration of multiple services attracts closer regulatory scrutiny. The Bank for International Settlements has warned that such crypto conglomerates could concentrate financial risks. For NYDIG, the sale marks a strategic shift to focus on its vertically integrated bitcoin mining and high-performance computing data center business.

cryptonews.ruHace 2 días 05:31

BitGo Buys NYDIG's Trading Unit as Institutions Consolidate Crypto Services

cryptonews.ruHace 2 días 05:31

When 34% of ETH is Staked: In the Era of Native Compounding, How Should You Choose Staking?

As Ethereum staking reaches a record 34.7% of the total supply, it is evolving from a niche technical activity into a standardized asset management practice. This article analyzes four primary staking methods for ETH holders, highlighting their core trade-offs between control, convenience, and risk. The foundational method is solo staking, which requires 32 ETH and running one's own validator node. It offers full control and native rewards but demands significant technical expertise and constant maintenance. Non-custodial native staking, like services offered by imToken, provides a middle ground. Users control their withdrawal keys and assets while outsourcing node operation to professional providers. This maintains self-custody but transfers operational risk. For users without 32 ETH or those prioritizing liquidity, liquid staking protocols like Lido are key. Users deposit ETH to receive a liquid staking token (e.g., stETH), enabling continued participation in DeFi. This introduces additional smart contract and protocol risks but solves liquidity constraints. Exchange-based staking offers the lowest barrier to entry, handling all technical complexities and custody. However, it requires full trust in the platform's management of assets, node operations, and reward distribution. The choice depends on individual priorities: control (solo staking), balanced custody (non-custodial native), liquidity (liquid staking), or simplicity (exchange). With developments like Pectra enabling native compounding and traditional finance integrating staking into ETFs, the ecosystem is maturing. The key takeaway is that the decision should weigh factors like control, liquidity, and third-party risk, not just the Annual Percentage Rate (APR). The true cost of staking encompasses what rights and risks are delegated alongside the potential reward.

marsbitHace 2 días 03:01

When 34% of ETH is Staked: In the Era of Native Compounding, How Should You Choose Staking?

marsbitHace 2 días 03:01

History's Only Asset with a 100% Win Rate After 4 Years of Holding

**Title: The Only Asset with a 100% Win Rate Over Any 4-Year Holding Period** This article analyzes which major, freely-tradable assets have historically never produced a nominal loss over any rolling 4-year holding window. It concludes that only two distinct categories achieve this: ultra-low-risk contractual assets and Bitcoin. Among traditional risk assets, none maintain a perfect 4-year record. The S&P 500 had negative 4-year periods (e.g., 1929-1932: -64.8%). The Nasdaq 100 fell roughly 60% from 2000-2003. Gold saw a ~47.7% loss from 1981-1984. US real estate declined about 23.3% from 2007-2010. Even long-term US Treasury bonds (e.g., 2021-2024: -19.8%) and corporate bonds can produce 4-year losses due to interest rate and market price risks. In contrast, the first category achieving 100% nominal success includes assets like rolling 3-month US Treasury Bills, 4-year certificates of deposit (CDs), and US Treasuries held to maturity within 4 years. Their "guarantee" stems from contractual obligations and credit backing (e.g., FDIC insurance, US sovereign promise), not price appreciation. The sole exception in the high-risk category is Bitcoin. Analysis of daily data from 2010-2026 across 4,419 rolling 4-year windows shows a 100% positive return rate. The worst 4-year period (April 2021 to April 2025) still yielded a +32.6% total return (~7.3% CAGR). This record is unique because Bitcoin has no issuer, promises no cash flows, and has endured severe drawdowns (70-90%), yet its market price has always recovered within a 4-year span. The key distinction is the source of the "100%": contractual assets offer known, low nominal returns, while Bitcoin's record stems purely from historical price appreciation despite extreme volatility. The article suggests that for Bitcoin, the ability to hold for 4+ years is more critical than active trading strategies.

marsbit08/28 00:51

History's Only Asset with a 100% Win Rate After 4 Years of Holding

marsbit08/28 00:51

Why Ethereum Staking Will Change in 2026

The article discusses the evolving role of Ethereum (ETH) staking, shifting from a niche crypto enthusiast topic to a mainstream portfolio management tool for financial advisors and institutional investors. It explains how staking works in Ethereum's Proof-of-Stake network, detailing validator requirements and methods like solo staking, pools, exchanges, and liquid staking protocols, each with its own risk-reward profile (e.g., liquidity, control, technical requirements). A key point is staking's growing importance for corporate treasuries, where staking rewards represent a significant income stream, unlike non-yielding Bitcoin holdings. Looking ahead, the article highlights the anticipated 'Glamsterdam' upgrade in late 2026 as a pivotal development expected to enhance scalability, decentralization, and post-quantum resistance, further solidifying Ethereum's institutional appeal. It also emphasizes that while staking offers passive income and network participation, risks include technical failures, slashing penalties, platform/custodial risks, and regulatory uncertainty. For advisors, the conclusion stresses the need to evaluate staking providers beyond just promised yields, focusing on reliability, fees, withdrawal terms, security, and the specifics of reward structures (protocol vs. MEV-based). The regulatory landscape and infrastructure maturity around digital asset custody are noted as critical adjacent topics to monitor.

cryptonews.ru08/27 20:07

Why Ethereum Staking Will Change in 2026

cryptonews.ru08/27 20:07

Behind the Trillion-Dollar Capital Gamble: Time is Becoming the Counterparty to AI

Amidst unprecedented capital investment in AI, a trillion-dollar "gamble" is unfolding where time itself is becoming the opposing force. Recent events illustrate the volatility and profound uncertainty underlying this rush. In July 2026, hedge fund Situational Awareness, founded by Leopold Aschenbrenner and heavily leveraged on AI hardware stocks like Sandisk, lost $35 billion in a month as a market selloff triggered massive declines, highlighting the irrational human foundations of even AI-augmented markets. Simultaneously, the regulatory landscape is shifting dramatically. Social media addiction lawsuits in the US have exploded, with major platforms like Meta, Snap, TikTok, and Google now facing billions in liabilities. This signals a critical change: the "algorithm is neutral" defense is crumbling for AI, introducing massive legal and governance uncertainties that threaten AI's business models. Financially, the sector is fueled by unsustainable capital intensity. Google reported its first-ever negative free cash flow (-$5.9B) in Q2 2026, while its AI capex is projected to hit $200B. Industry-wide, debt issuance for AI infrastructure could reach $1.5 trillion. Companies like OpenAI and Anthropic project profitability only by 2030, betting on future revenues in the hundreds of billions. This mirrors a national dilemma: the U.S. faces a looming debt crisis, with interest costs projected to exceed $1 trillion annually, creating pressure to secure technological supremacy through AI. The core paradox is that this historic capital infusion aims to buy time for AI to mature and dominate. However, if the anticipated technological leap or market scale fails to materialize within the narrow window before profitability deadlines or a debt crisis, the simultaneous collapse of both corporate and national financial bets could be catastrophic. The race is not just for technological advantage, but against the clock.

marsbit08/27 09:01

Behind the Trillion-Dollar Capital Gamble: Time is Becoming the Counterparty to AI

marsbit08/27 09:01

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