Crypto4Harris令人失望 贺锦丽或未能赢得币圈认同

cryptonewsPublished on 2024-08-08Last updated on 2024-08-20

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Crypto Miners' Big AI Gamble: Valuations Enter Differentiation Stage, Comeback Fight Proves Tough

Crypto Mining Firms' AI Bet: Valuation Divergence and a Challenging Transformation Facing declining profitability in crypto mining, mining companies are pivoting to AI infrastructure, capitalizing on their existing power resources, land, and data center expertise to offer GPU compute power. This transition narrative has boosted their stock prices significantly, with firms like Hut 8 and Bitfarms seeing gains over 100% year-to-date, far outpacing Bitcoin. This has led to a market valuation split, with pioneers like CoreWeave reaching a $62.8B market cap, while others remain below $5B. The market currently prioritizes growth potential over short-term profits, which remain under pressure due to heavy capital expenditures for AI build-outs and crypto asset volatility. However, the transformation is a high-stakes gamble. Bitcoin mining profitability is shrinking, with the average production cost around $63,707 and miner margins contracting. While AI offers a more lucrative long-term path, it requires massive investment—estimated at a $500B near-term funding gap. Success now hinges on execution: delivering on contracted power capacity, securing quality tenants like major cloud providers, and managing the immense financial burden. The valuation focus is shifting from mere power capacity to project delivery, future cash flows, and tenant quality, making this a difficult but critical turnaround attempt.

链捕手7m ago

Crypto Miners' Big AI Gamble: Valuations Enter Differentiation Stage, Comeback Fight Proves Tough

链捕手7m ago

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

AI investor Leopold Aschenbrenner has made a significant portfolio shift, taking a $9 billion nominal short position against top AI infrastructure stocks like NVIDIA, ASML, and Oracle. Simultaneously, he is redirecting capital towards what he sees as the next critical bottlenecks in the AI boom: power, memory, and data center networking, alongside private investments in AI model companies like Anthropic. This move is interpreted not as a call that the AI bubble has burst, but as a rotation within the infrastructure stack. The analysis highlights NVIDIA's recent $25 billion bond issuance as a potential signal, questioning why a cash-rich company would seek external debt despite high profits and increased dividends/buybacks. The core investment thesis is that the initial, crowded "picks and shovels" trade in semiconductors is maturing. The next wave of capital is expected to flow into the physical and logistical constraints of AI expansion: electricity supply, memory chip capacity, data center construction, and enabling technologies like optical networking (fiber) for high-bandwidth communication, where copper remains crucial for short distances. Aschenbrenner's substantial (approx. 20% of fund) private stake in Anthropic is noted as a key part of his strategy—investing directly in the "mine" (AI models) rather than just the "shovels." The discussion concludes that while certain segments may be overvalued, the overarching AI infrastructure demand driven by real product usage remains robust. The most promising long-term investments are seen in essential, non-sexy infrastructure—particularly energy and power companies—whose demand is viewed as a global constant irrespective of AI's cyclicality.

marsbit28m ago

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

marsbit28m ago

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

The crypto market is currently in an adjustment phase driven by policy expectations and liquidity shifts. Despite a brief rebound fueled by geopolitical easing and SpaceX's strong IPO performance, unexpectedly hawkish signals from new Fed Chair Kevin Warsh have removed anticipated easing support. Concurrently, stablecoin liquidity is shrinking, with insufficient new capital inflows, pushing the market into a typically quiet summer period. Pricing lacks catalysts for a sustained rally. Daily trading volume has significantly contracted, stablecoin growth has slowed markedly, and the supportive effect of Strategy's (formerly MicroStrategy) STRC preferred stock-financed Bitcoin purchases is fading. Amid policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin faces near-term downward pressure. Warsh's hawkish pivot and refusal to provide a clear policy outlook have increased risk premiums, historically unfavorable for Bitcoin. Technically, the trend remains bearish below $73,700, with $62,446 as critical support. A break below could accelerate declines, though a prolonged consolidation phase, similar to 2022's bottoming process, is possible. Liquidity is a core constraint. Current daily volume is around $500 billion, roughly 25% of the peak during the July-Oct 2025 rally. The 12-month growth rates for USDT and USDC have fallen to ~20%, with 6-month growth near zero, indicating weak new inflows. Bitcoin ETF and Strategy-driven inflows have also weakened, with a 30-day rolling net outflow. With inflation at 4.2% above the Fed's target, combined hawkish policy, seasonal factors, and liquidity shortages challenge Bitcoin's ability to hold above $60,000. However, this adjustment phase may be forming a cyclical low this summer, potentially setting the stage for the next bull cycle.

marsbit56m ago

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

marsbit56m ago

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbit1h ago

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbit1h ago

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Welcome to HTX.com! We've made purchasing Green Metaverse Token (GMT) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Green Metaverse Token (GMT) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Green Metaverse Token (GMT)After purchasing your Green Metaverse Token (GMT), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Green Metaverse Token (GMT)Easily trade Green Metaverse Token (GMT) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

1.3k Total ViewsPublished 2024.03.29Updated 2026.06.02

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Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of GMT (GMT) are presented below.

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