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Bitcoin Caught In The Crossfire As Trump’s Iran Deadline Nears

Trump's threat to bomb Iranian civilian infrastructure by midnight Tuesday has escalated tensions, with Iran calling for human chains to protect power plants. Bitcoin dropped 2.5% to around $68,210 as ceasefire hopes faded, reflecting market anxiety. The cryptocurrency has been volatile since the conflict began, fluctuating between $66,000 and $71,000. Iran rejected a 45-day truce proposal, demanding a permanent end to hostilities, while Trump called the situation a "critical period." Israel confirmed killing a top IRGC commander, further intensifying the conflict.

bitcoinist04/08 06:02

Bitcoin Caught In The Crossfire As Trump’s Iran Deadline Nears

bitcoinist04/08 06:02

Analyzing how Bitcoin’s short-term holders and $64K-level can unlock market bulls

Bitcoin's price is struggling amid bearish sentiment, but key shifts among short-term holders (STHs) could signal a potential bullish turn. STHs, who purchased BTC in the last month at an average cost basis of $85,450, are currently at a 19% unrealized loss. Historically, a 25% or greater loss often marks a market bottom, suggesting Bitcoin may need to decline another 6% to around $64,000 to trigger a rebound. At this level, STH selling typically subsides, reducing supply pressure. Meanwhile, approximately 300,000 BTC (worth ~$27 billion) have recently moved from STHs to long-term holders (LTHs), who are less likely to sell during downturns, thereby supporting price stability. Additionally, exchange reserves have slightly declined from 2.46 million to 2.45 million BTC, indicating a tightening supply. A sustained reduction in reserves could further limit downside risk and lay the foundation for a potential rally.

ambcrypto04/08 06:02

Analyzing how Bitcoin’s short-term holders and $64K-level can unlock market bulls

ambcrypto04/08 06:02

Industry Experts Gather, Reflections and Breakthroughs in the AI Agent Era

Industry experts gathered to discuss the challenges and opportunities in the AI Agent era. The event, co-hosted by several organizations, addressed key questions about model selection, token resource sustainability, and strategies for individuals and businesses to adapt. Conflux's Chief Architect highlighted the current trend of granting AI more autonomy, noting that its limitations in complex scenarios stem from difficulties in capturing and retaining key contextual constraints. Future advancements should focus on enhancing external memory, continuous learning, and domain-specific applications. Speakers from Tencent Cloud and Biteye shared practical insights. Tencent's WorkBuddy leverages multi-agent collaboration for tasks like resume screening and report generation, emphasizing enterprise-grade security. Biteye’s founder discussed mitigating AI hallucinations through rigorous code review processes, managing token consumption, and using platforms like Discord for agent coordination. Legal risks were also addressed, with a partner from Mankun Law advising on liability isolation, intellectual property protection, and mitigating platform dependency risks. Investors noted that AI is still in its early stages, with technology rapidly evolving. They emphasized investing in foundational layers like compute power and exploring AI-Web3 convergence. The discussion concluded that AI should be viewed as a productivity tool rather than a threat. Customizable agents can significantly enhance efficiency, but successful implementation requires careful engineering, security measures, and human oversight to integrate AI into complex workflows effectively.

marsbit04/08 05:51

Industry Experts Gather, Reflections and Breakthroughs in the AI Agent Era

marsbit04/08 05:51

After Laying Off 30,000 Employees, Oracle Hires a CFO Who Managed Power Plants

Oracle, the global enterprise database giant, laid off approximately 30,000 employees, sparking widespread discussion. Shortly after, the company appointed Hilary Maxson as its new CFO with a compensation package of $297 million. Maxson’s background is notable: she spent nearly a decade as group CFO at Schneider Electric, a major energy management firm, and previously worked for 12 years at AES Corporation, a U.S. power company. Her entire career has revolved around the energy sector—managing power plants, grids, and data center energy solutions. This appointment signals a strategic shift for Oracle. After 12 without a dedicated CFO, the company is pivoting from its traditional software business toward cloud and AI infrastructure. Oracle’s cloud infrastructure revenue surged 84% year-over-year, with a capital expenditure budget of around $50 billion this year—almost entirely allocated to AI data center construction. The company has secured massive contracts, including one with OpenAI exceeding $300 billion, contributing to a total backlog of $553 billion. Data centers, especially at the gigawatt scale, require enormous power—equivalent to a nuclear power plant’s output—making energy management critical. Oracle is no longer just a software company; it’s transforming into an energy-intensive infrastructure provider. While Wall Street remains optimistic, the stock has fallen about 24% this year, reflecting investor concerns over this high-cost, capital-intensive transition. The hiring of an energy-focused CFO underscores Oracle’s new direction.

marsbit04/08 05:23

After Laying Off 30,000 Employees, Oracle Hires a CFO Who Managed Power Plants

marsbit04/08 05:23

Is DeFi Development Corp’s Solana bet finally paying off?

DeFi Development Corp. (DFDV) experienced flat growth in a challenging March 2026 but significantly increased its Solana (SOL) holdings to 2.22 million SOL, valued at $185 million. This resulted in a SOL Per Share (SPS) metric of 0.0754. The firm highlighted Solana's substantial growth in 2025, which now represents nearly 3% of the circulating supply held by Digital Assets Treasuries (DATs). DFDV's 2025 annual results showed an impressive 442% revenue growth. Looking forward, the company explored how autonomous AI agents could generate significant structural demand for SOL, with projections ranging from $27 billion to $112.5 billion. Despite a recent price drop for both DFDV stock and SOL, on-chain data showed that user engagement on the Solana network remained high. However, declining social volume and a large holder realizing substantial losses indicated some market weakness. SOL DATs have demonstrated relative strength compared to their Ethereum counterparts.

ambcrypto04/08 05:09

Is DeFi Development Corp’s Solana bet finally paying off?

ambcrypto04/08 05:09

Bitcoin PMI Says This Is Not A Peak, Here’s What It Is

Bitcoin's price action has divided, with some calling a cycle peak and others expecting further rallies. A key macroeconomic indicator, the Bitcoin PMI, suggests the current phase is not the top. Historically, Bitcoin has never formed a true all-time high when the PMI was below 50. Each previous cycle peak occurred only after the PMI entered expansion territory above 50. Despite strong rallies and new highs in late 2025, the PMI remained sub-50, creating a disconnect with price action. Analysts argue that calling the top now is premature, similar to mistakes made in 2019-2020. This period may instead be a prolonged accumulation phase, with the real cycle peak likely occurring only after PMI surpasses 50.

bitcoinist04/08 05:01

Bitcoin PMI Says This Is Not A Peak, Here’s What It Is

bitcoinist04/08 05:01

‘Wrong approach’ – Crypto lobby rejects Wall Street’s tighter DeFi rules for tokenized securities

The Blockchain Association (BA) has strongly opposed a proposal from Citadel Securities and traditional finance (SIFMA) calling for stricter regulation of DeFi protocols that handle tokenized securities. In a letter to the SEC, the BA argued that applying existing securities laws, which are designed for intermediaries, to neutral decentralized infrastructure is the "wrong approach." While affirming that tokenized securities are still securities, the BA emphasized that the SEC should consider how modern blockchain technology works before regulating, rather than automatically classifying DeFi infrastructure as exchanges or brokers. This pushback aligns with earlier criticism from the DeFi Education Fund (DEF). Citadel and SIFMA, however, maintain that all platforms handling tokenized securities must be under regulatory oversight to ensure a level playing field and investor protection, regardless of whether they are custodial or decentralized. The outcome hinges on the SEC's decision, which could potentially be challenged in court if it is not codified by the CLARITY Act.

ambcrypto04/08 04:32

‘Wrong approach’ – Crypto lobby rejects Wall Street’s tighter DeFi rules for tokenized securities

ambcrypto04/08 04:32

Anthropic Has Developed the Most Powerful AI Model in History, But Dares Not Release It...

Anthropic has developed its most powerful AI model to date, named Mythos, which boasts over 10 trillion parameters—far surpassing current leading models—and a training cost of $10 billion. Mythos demonstrates exceptional capabilities in software coding, academic reasoning, and cybersecurity, significantly outperforming its predecessor, Claude Opus 4.6, in benchmark tests. In a matter of weeks, Mythos autonomously identified thousands of previously unknown zero-day vulnerabilities across major operating systems, browsers, and critical software. Notable discoveries include a 27-year-old flaw in OpenBSD and a 16-year-old vulnerability in FFmpeg, demonstrating its ability to find and exploit complex security weaknesses with minimal human intervention. Due to its unprecedented power and potential for misuse by malicious actors, Anthropic has refrained from publicly releasing Mythos. Instead, it launched the "Project Glasswing" initiative, partnering with leading tech and financial firms like Amazon, Apple, Google, Microsoft, and JPMorgan. Through this program, select organizations gain early access to Mythos Preview to identify and patch vulnerabilities in critical systems. Anthropic is providing $100 million in usage credits to participants and donating millions to open-source security foundations. While AI like Mythos could lower the barrier for cyber attacks, Anthropic emphasizes its potential to greatly enhance defensive capabilities, helping to build more resilient systems and maintain a balanced security landscape.

Odaily星球日报04/08 03:59

Anthropic Has Developed the Most Powerful AI Model in History, But Dares Not Release It...

Odaily星球日报04/08 03:59

Polymarket: 84% of Traders Are Losing Money, 0.033% of People Take the Majority of Profits

A recent analysis of 2.5 million Polymarket wallet addresses by on-chain researcher Andrey Sergeenkov reveals that 84.1% of traders are losing money, with only 16% achieving any profit. A mere 2% of addresses have accumulated over $1,000 in profits, while just 0.033% (840 addresses) have earned more than $100,000. The study, which improved on prior methodologies by accounting for token splits and mergers, shows a significant increase in unprofitable traders compared to a previous 70% estimate. Profit concentration is extreme: only 1.25% of addresses make over $1,000 monthly, 0.26% earn above $5,000, and just 0.13% surpass $10,000. Most high-earning addresses are short-lived, with 53% of top traders active for only one month. Research indicates that automated strategies—such as arbitrage bots and high-frequency trading systems—dominate profits, exploiting public on-chain data and speed advantages that manual retail traders lack. Despite Polymarket’s accuracy in prediction (94% a month before outcomes), the platform exhibits a stark wealth disparity, raising questions about its function as an information aggregator versus a zero-sum game favoring sophisticated players.

marsbit04/08 03:49

Polymarket: 84% of Traders Are Losing Money, 0.033% of People Take the Majority of Profits

marsbit04/08 03:49

Prediction Markets Plunge into Major Controversy Again: Are You Trading Facts or Rules?

The prediction market sector, particularly platforms like Polymarket and Predict.fun, is facing significant controversy over event resolution rules that sometimes conflict with user expectations. Two recent cases highlight the issue. First, on Polymarket, a market asking “Will US forces enter Iran by a certain date?” was resolved as “Yes” after US special forces entered Iranian territory to rescue a downed pilot. While the rules technically defined such an operational entry as a qualifying "invasion," many users argued it contradicted the common-sense understanding of a military invasion, as the action was a limited humanitarian rescue, not a combat operation. Second, on Predict.fun, a market on “Will Polymarket launch a token?” was resolved as “Yes” after the platform announced a new stablecoin, Polymarket USD, pegged 1:1 to USDC. The rules defined a "token" as any fungible asset, but the community debated whether a stablecoin—a collateral tool rather than a governance or equity token—should truly count as the "launch" users were predicting, especially for a subsequent market on the project’s Fully Diluted Valuation (FDV). The core conflict is whether users are betting on real-world events or a platform’s specific, often technical, rules. These cases show that a high-probability bet can quickly become a loss if the rules are misinterpreted. The key takeaway for participants is to prioritize understanding the precise, written rules over their own assumptions to avoid unexpected outcomes.

marsbit04/08 03:37

Prediction Markets Plunge into Major Controversy Again: Are You Trading Facts or Rules?

marsbit04/08 03:37

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