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VItalik Buterin Defends Long-Term Vision Amid Token Price Concerns

Ethereum co-founder Vitalik Buterin defended the Ethereum Foundation's long-term vision amidst concerns over ETH's token price, which has fallen more than 50% from its all-time high. He stated the Foundation's core goals remain supporting decentralization, security, censorship-resistance, and long-range research, not competing on transaction throughput. Buterin emphasized the Foundation's minimal ETH holdings (around 0.16% of supply) compared to other projects and announced a focus on "longevity," prioritizing research over actions that could impact price. While the Foundation recently unstaked a significant amount of ETH, he clarified this does not mean the tokens will be sold. The comments address market worries following high-profile exits and sales by some investors, as well as criticism that post-Dencun upgrade tokenomics were not adequately considered.

TheNewsCrypto05/24 21:43

VItalik Buterin Defends Long-Term Vision Amid Token Price Concerns

TheNewsCrypto05/24 21:43

Bitcoin Spot ETFs Bleed $1.26 Billion In Largest Net Outflows In 3 Months – Details

US Bitcoin Spot ETFs saw $1.26 billion in net outflows last week, marking the largest withdrawal since late January. The sector experienced six consecutive days of negative flows, with BlackRock's IBIT alone accounting for over $1 billion in net outflows. Overall, May has seen $1 billion leave these ETFs. Ethereum Spot ETFs also extended their outflow streak to 10 days, losing $215.19 million last week. Despite the capital flight, Bitcoin's price rose 1.75% to $76,735, while Ethereum increased 2.78% to $2,119 at the time of reporting.

bitcoinist05/24 16:02

Bitcoin Spot ETFs Bleed $1.26 Billion In Largest Net Outflows In 3 Months – Details

bitcoinist05/24 16:02

DeepSeek Announces Permanent Price Cut, But Liang Wenfeng Is Not Trying to Be a "Cyber Bodhisattva"

DeepSeek has announced a permanent 75% discount on its V4-Pro API, significantly reducing its token prices. This move stands out as a major industry-wide price cut while competitors like Anthropic, OpenAI, and Google have been quietly raising theirs. The article contrasts this strategy with the broader trend of AI becoming more expensive, citing examples of companies like Microsoft and Uber struggling with high token costs as usage soars. While CEO Liang Wenfeng is hailed by some as a "Cyber Bodhisattva" for this普惠 approach, the article argues this is a strategic business choice, not mere altruism. DeepSeek's ability to maintain low prices is attributed to several structural advantages: lower-cost AI talent in China, the impending use of domestic昇腾 hardware for further cost reductions, and, most critically, access to China's cheaper and more abundant energy infrastructure, which drastically reduces the electricity costs dominating AI operations. The analysis suggests that for many commercial applications, a "good enough" model that is radically cheaper (e.g., 1% to 11% of GPT-5.5's cost) is more valuable than the absolute top-tier model. This allows for vastly more experimentation and iteration within a budget. Therefore, as AI generally becomes more expensive, DeepSeek's cost-competitiveness—rooted in China's energy and talent advantages—becomes its core strategic value and differentiator in the global market.

marsbit05/24 12:19

DeepSeek Announces Permanent Price Cut, But Liang Wenfeng Is Not Trying to Be a "Cyber Bodhisattva"

marsbit05/24 12:19

Everyone Is Calling For Lower Bitcoin Price: Why This Is The Perfect Time To Go Parabolic

Crypto analyst Crypto Fergani argues that despite widespread bearish sentiment and calls for lower targets following Bitcoin's recent volatility, conditions are actually ripe for a parabolic surge. He points to major institutional accumulation and growing adoption as bullish fundamentals, dismissing the idea of an ongoing bear market. Comparing the current cycle to 2022, he predicts Bitcoin could rally over 72% from current levels above $74,000 toward $128,000, with altcoins potentially seeing massive gains. This contrasts with other analysts like Bee, who foresee a deeper correction toward $47,000-$52,000 as the final bottom before a new bull cycle begins.

bitcoinist05/24 10:43

Everyone Is Calling For Lower Bitcoin Price: Why This Is The Perfect Time To Go Parabolic

bitcoinist05/24 10:43

The Veil of Mythos Becomes Anthropic's Lever to Move Trillions

The article discusses Anthropic's reported upcoming $30 billion funding round, which would value the company at over $900 billion. It analyzes how the company has leveraged strategic narratives around its unreleased "Mythos" model, rather than just its publicly available products, to drive this massive valuation. Key points include Google's surprising $40 billion investment in a competitor, suggesting it is buying strategic positioning. Anthropic's "Glasswing" cybersecurity project and the unreleased Mythos model are portrayed not through direct proof, but through carefully crafted narratives of being "too powerful for public release," creating an aura of exclusive, high-level capability. This is bolstered by reports of the White House and NSA seeking access to Claude/Mythos despite previous security concerns, implying indispensable technology. Furthermore, Anthropic's reported rapid revenue growth—from a $1 billion annual run-rate in late 2024 to over $30 billion by April 2026, largely driven by enterprise API and Claude Code—provides a financial story for investors. The article concludes that Anthropic's core business model is effectively converting unverifiable technical potential, government interest, and future revenue projections into a compelling narrative that secures immense capital, using the actions of wealthy investors and powerful institutions as the ultimate validation of its worth.

marsbit05/24 10:10

The Veil of Mythos Becomes Anthropic's Lever to Move Trillions

marsbit05/24 10:10

Stablecoin Regulation: FDIC Announces New Proposed AML Rules For Issuers

The FDIC has proposed new rules to extend Bank Secrecy Act (BSA) and economic sanctions compliance standards to FDIC-supervised Permitted Payment Stablecoin Issuers (PPSIs). This would formally classify PPSIs as financial institutions, requiring them to implement full Anti-Money Laundering/Countering the Financing of Terrorism (AML/CFT) programs, OFAC-aligned sanctions compliance structures, and related reporting obligations. The proposal follows earlier prudential standards for PPSIs. Supervision would involve FDIC coordination with FinCEN, with enforcement shielded for entities with effective programs unless significant failures occur. The public comment period lasts until June 9, 2026, with a final rule expected later that year. The FDIC estimates 5-30 PPSIs may seek approval initially, with compliance costs likely modest due to leveraging parent companies' existing infrastructure.

bitcoinist05/24 09:45

Stablecoin Regulation: FDIC Announces New Proposed AML Rules For Issuers

bitcoinist05/24 09:45

Google CEO Admits Lagging Behind in Coding

Google CEO Sundar Pichai acknowledged in a recent interview that Google's Gemini AI models are currently "lagging behind" in coding capabilities, particularly for complex, long-horizon tasks requiring advanced developer expertise. He noted the field is advancing at an "unprecedented" pace, where 30-60 days now brings changes equivalent to five years in the past. Pichai expressed that achieving Artificial General Intelligence (AGI) now seems closer than previously imagined due to rapid progress. While highlighting strengths in text, multimodal, and reasoning tasks, Pichai admitted competitors like Anthropic and OpenAI have focused more intently on coding. He emphasized Google's commitment to catching up, citing internal tools like Antigravity 2.0 and the newly released Gemini 3.5 Flash, which aims to address previous shortcomings. Regarding Google Search's AI-driven overhaul, Pichai stated changes will be gradual to align with user needs, not disrupt the core search experience or its advertising model. He addressed public AI anxiety as understandable, given the technology's potential to reshape jobs and society, but remained optimistic about AI augmenting human capabilities and creating new opportunities. Pichai stressed the need for broad societal dialogue and responsible development as AI approaches more advanced, potentially recursive self-improvement stages. He affirmed Google's long-term commitment to leading in AI while navigating its profound implications responsibly.

marsbit05/24 08:28

Google CEO Admits Lagging Behind in Coding

marsbit05/24 08:28

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbit05/24 07:06

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbit05/24 07:06

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

"a16z: 7 Charts on How Tokenization is Changing the Nature of Assets" Tokenized Assets (or Real-World Assets - RWA) are transforming asset forms, liquidity, and financial system construction. The market recently surpassed $30 billion, stabilizing around $34 billion (excluding stablecoins), representing a tenfold increase in less than two years, driven by clearer regulations, mature institutional infrastructure, and increased financial institution adoption. The primary driver of recent growth is tokenized U.S. Treasury bonds. These offer investors efficient, flexible digital access to yield-bearing assets and improve institutional operations like settlement and collateral management. Other asset classes show varied growth: asset-backed credit leads, followed by niche financial assets (e.g., reinsurance, mining notes), while venture capital took longer to scale. Market segmentation shows high concentration. In commodities, tokenized gold dominates (~$5 billion), as its standardized, storable nature fits tokenization well. Bonds are the largest category ($15.2B), but only ~5% are used in DeFi protocols. Conversely, smaller niches like reinsurance tokens see high (~84%) on-chain utilization, highlighting a core industry divide: most current tokenized assets are merely digitized records for easier holding/transfer, lacking the "composability" (free combination/interaction) that is key to blockchain-native finance. The ecosystem is distributed across multiple blockchains, with Ethereum hosting over half the value ($15.7B), followed by BNB Chain, Solana, and others. Future market size predictions vary widely (e.g., $2-$30 trillion by 2030+), but all indicate massive potential from the current small base. Tokenized assets currently represent minuscule fractions of their global counterparts (e.g., 0.01% of global bonds). The current phase focuses on digitizing straightforward assets. The next challenge is to bring more complex financial components on-chain and deeply integrate tokenized assets into composable, internet-native financial infrastructure.

链捕手05/24 06:25

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

链捕手05/24 06:25

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

"Tokenized Assets: How Tokenization Changes the Nature of Assets" by a16z Crypto The market for tokenized assets, excluding stablecoins, has grown from under $3 billion two years ago to over $340 billion today. US Treasury bonds are the primary growth driver, allowing investors to hold yield-bearing assets digitally and enabling more efficient settlement. Other key sectors include private credit (growing fastest), commodities (dominated by gold), and niche financial assets. However, the market remains concentrated in tokenized US Treasuries and gold. A critical insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction is actively used within DeFi protocols. For instance, only about 5% of tokenized bonds and a low percentage of tokenized gold are utilized on-chain. In contrast, assets like reinsurance and private credit tokens show much higher on-chain usage rates (84% and 33%, respectively). This highlights a divide: many tokenized assets are merely digital records on a blockchain without enabling new, programmable financial applications. The Pantera Capital Token Native Index indicates over 70% of tokenized assets have minimal on-chain native functionality. Ethereum remains the dominant blockchain for tokenized assets (over $150B), but the ecosystem is diversifying across chains like BNB Chain, Solana, and Stellar, based on factors like cost and compliance. Major institutions forecast massive future growth, with predictions for the tokenized asset market ranging from $2 trillion to over $30 trillion by the early 2030s. However, compared to the global financial system (e.g., ~$140T bonds, multi-trillion dollar gold market), tokenized assets currently represent a tiny fraction (0.01% or less). The conclusion is that while tokenization has begun by digitizing and streamlining settlement for simpler assets, the next phase involves bringing more complex financial instruments on-chain and deeply integrating them into composable, internet-native financial infrastructure.

Odaily星球日报05/24 05:50

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

Odaily星球日报05/24 05:50

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