2026-08-06 Quinta

Notícias de cripto - Página 284

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

Anthropic Employees Leave to Start a Business, Valued at $1 Billion, Also Focused on 'Recursive Self-Improvement'

Former Anthropic employees Behnam Neyshabur and Harsh Mehta have founded a startup named Mirendil, securing $200 million in seed funding at a $1 billion valuation from investors including Andreessen Horowitz, Kleiner Perkins, and NVIDIA. The company, staffed by researchers from Anthropic, xAI, Google DeepMind, and OpenAI, aims to accelerate scientific discovery by focusing on "recursive self-improvement" for AI. Their vision, described as "AI for AI for Science," is to build a platform enabling research labs in fields like medicine and materials science to develop and iteratively improve their own specialized AI models, rather than relying on general-purpose models from large tech firms. Neyshabur argues this approach, involving AI that can optimize its own code under human supervision, is the fastest path to AI-accelerated science. The founders believe a market opportunity exists because major AI companies, while increasingly using AI to advance their own research, restrict external developers from using their models to train competing products. Mirendil plans to release its first models soon to gather early user feedback, with the goal of empowering thousands of labs to tackle critical scientific challenges.

marsbit06/26 03:26

Anthropic Employees Leave to Start a Business, Valued at $1 Billion, Also Focused on 'Recursive Self-Improvement'

marsbit06/26 03:26

Trillion-Dollar Pension Fund Entry? Franklin Bitcoin Dividend Reinvestment ETF Comes with a Built-in Selling Pressure Ceiling

Franklin Templeton has filed to launch two ETFs that embed a "default configuration" logic into Bitcoin investment, aiming to tap into massive pension fund flows. These "Bitcoin Dividend Reinvestment Index ETFs" will initially hold 95% equities and 5% Bitcoin, automatically reinvesting stock dividends to buy Bitcoin. However, a quarterly rebalancing rule forces selling of Bitcoin if its allocation exceeds 5%, capping its maximum holding at 20%. While the product cleverly circumvents advisor reluctance and compliance hurdles by labeling itself as a U.S. equity product, its actual Bitcoin buying power is minimal. Given low dividend yields (e.g., ~1% for broad market indices), annual Bitcoin purchases from a fund the size of Franklin's existing Bitcoin ETF would be a mere $3.6 million—negligible against Bitcoin's daily trading volume. Crucially, during bull markets, the fund becomes a programmed, passive *seller* of Bitcoin, potentially creating sustained sell pressure if many similar funds emerge. The strategy leverages investor inertia and automatic enrollment, similar to the success of target-date funds in 401(k) plans. It also uses an offshore Cayman subsidiary for holding Bitcoin and raises a tax complication where investors must pay taxes on dividends they never receive as cash. Although recent U.S. regulatory changes allow crypto in retirement plans, widespread adoption as a default option faces legal hurdles. The core premise remains: the system doesn't need to convince anyone to buy Bitcoin actively; it simply relies on people doing nothing.

marsbit06/26 03:18

Trillion-Dollar Pension Fund Entry? Franklin Bitcoin Dividend Reinvestment ETF Comes with a Built-in Selling Pressure Ceiling

marsbit06/26 03:18

Bitcoin Hits 20-Month Low as Largest Bull Suffers $15 Billion Paper Loss

Bitcoin Hits 20-Month Low as Major Bull Loses $15 Billion On June 25th, Bitcoin fell below $60,000, hitting a low of $58,030—its lowest level since October 2024. The sell-off triggered over $1 billion in leveraged liquidations in 24 hours, with longs accounting for $788 million. This marks a more than 53% decline from the October 2025 all-time high of $126,198. A critical factor in the downturn is the weakening position of MicroStrategy, the largest corporate Bitcoin holder. With 847,363 BTC at an average cost of $75,651, the company now faces over $14.6 billion in unrealized losses. Its core financing flywheel—raising capital to buy Bitcoin—is stalling. Its variable-rate preferred shares (STRC), a key fundraising tool, have fallen 25% below their $100 target. This raises doubts about its ability to continue providing steady institutional demand for Bitcoin. Simultaneously, U.S. spot Bitcoin ETFs are experiencing significant outflows, with a single-day net outflow of $469 million on June 24th. This represents the most severe sustained capital flight since their launch. The macroeconomic backdrop remains restrictive, with persistent inflation delaying expected Fed rate cuts. Analysts note a shift in capital allocation, with institutional funds moving away from crypto towards AI infrastructure stocks. Immediate pressure comes from approximately $10 billion worth of Bitcoin options expiring on June 26th, which could increase market volatility. The combined effect of these factors—eroding core demand pillars, macro headwinds, and capital rotation—has decisively broken the $60,000 support level.

Foresight News06/26 03:11

Bitcoin Hits 20-Month Low as Largest Bull Suffers $15 Billion Paper Loss

Foresight News06/26 03:11

STRC Falls Below $80, Can Conservative Investors Still Buy the Dip?

The article analyzes whether the STRC (a perpetual preferred stock issued by MicroStrategy) presents a buying opportunity after its price fell below its $100 par value to around $80, offering a seemingly high yield of 13-15%. The core argument is that STRC's discount reflects market skepticism about the sustainability of MicroStrategy's capital structure model, not just temporary panic. This model relies on issuing securities (like STRC) to raise funds to buy more Bitcoin, a "flywheel" that works in a bull market. The recent small sale of BTC to fund dividends, while minor, broke the psychological "never sell" anchor and signaled potential strain. Key risks identified are not a traditional Ponzi collapse but a potential breakdown in the financing narrative: 1) If Bitcoin enters a deep bear market, crushing MicroStrategy's stock premium (mNAV), its ability to raise cheap capital weakens. 2) If STRC remains deeply discounted, it signifies permanently higher funding costs. 3) The high cash dividend yield represents a significant ongoing expense. 4) If selling BTC to pay dividends becomes routine, the bullish narrative reverses. The conclusion is that STRC is not a risk-free high-yield asset. It is a high-coupon bet on whether MicroStrategy's BTC treasury financing model can withstand a bear market. Buying it is a wager that the market will continue to believe in and fund this structure at acceptable costs. The current price asks if this cycle's "casualty" might be a BTC treasury company's融资 model itself.

marsbit06/26 02:56

STRC Falls Below $80, Can Conservative Investors Still Buy the Dip?

marsbit06/26 02:56

Why Do Crypto Projects Keep Changing Their Names?

**Why Do Crypto Projects Keep Changing Names?** In the crypto world, changing a project's name is common—over 16% of projects have done so, including major ones like Polygon (formerly Matic Network). This contrasts sharply with traditional businesses, which fiercely protect brand equity. The core reason is that in crypto, brand loyalty is often weak. Users are frequently investors, airdrop hunters, or yield seekers, not traditional consumers. A name associated with price crashes, hacks, or failed narratives becomes a liability, not an asset. Renaming can be a strategic reset to shed this baggage. Name changes serve as a potent marketing tool. They can signal a genuine pivot in strategy or scope (e.g., EthSign dropping "Eth" as it expanded). However, they are often used to "narrative surf," rebranding to align with hot trends like AI, RWA, or the metaverse (e.g., Elrond → MultiversX). Critically, renaming is also a PR tactic to distance a project from past failures like security breaches (e.g., Anyswap → Multichain). The most significant risk emerges when a name change is coupled with a token migration or swap. This process can allow projects to reset exchange price charts, erase visible historical downtrends, and create an illusion of a fresh start. It often facilitates liquidity resets, where low float can be exploited for pumps. More alarmingly, migrations sometimes mask overhauls to tokenomics, introducing substantial new token supply through "ecosystem funds" or "node rewards," effectively diluting existing holders. The fundamental issue isn't renaming itself, which can be valid for strategic evolution. The problem is when it functions as an escape from history—a way to avoid accountability for past mistakes, failed promises, and poor performance. When a project announces a rebrand, the critical questions are: What tangible new capability or strategy does it represent? Has the tokenomics changed? And what part of its past is it most trying to make users forget?

marsbit06/26 02:49

Why Do Crypto Projects Keep Changing Their Names?

marsbit06/26 02:49

A Trillion-Dollar Entry Point for Pension Funds? Franklin's Bitcoin Dividend Reinvestment ETFs Come with a Built-In Selling Pressure Ceiling

Franklin Templeton filed for two ETFs on June 18 that embed a "default option" logic into Bitcoin investing. These funds—the Franklin US Equity Bitcoin Dividend Reinvestment Index ETF and the Franklin US Innovative Equity Bitcoin Dividend Reinvestment Index ETF—aim to automatically allocate a portion of investor dividends to Bitcoin, initially with a 95% stock and 5% Bitcoin allocation. The mechanism is designed for financial advisors, not retail investors. By packaging Bitcoin exposure within a standard equity fund label, advisors can bypass internal compliance restrictions against direct cryptocurrency allocation for their clients. Dividends from the stock holdings are automatically used to buy Bitcoin via spot ETFs, futures, or options. However, the structure imposes strict rebalancing rules: if Bitcoin's allocation exceeds 5%, it is trimmed back to 4.5% quarterly, with a hard cap of 20%. This means the fund becomes a systematic seller during Bitcoin price rallies. Realistically, the potential buying pressure is minimal. Based on dividend yields (approximately 1.05% for broad market, 0.52% for innovative equity), the annual inflow into Bitcoin would be a tiny fraction of the fund's assets. For comparison, Franklin's existing Bitcoin ETF ($359 million AUM) would generate only about $3.6 million in annual Bitcoin purchases—negligible against Bitcoin's daily trading volume. The innovative equity fund, heavily weighted in low-dividend stocks like Nvidia, would have even weaker buying power. The product utilizes an offshore Cayman subsidiary to hold Bitcoin, a common compliance tactic for commodity exposure in mutual funds. A key drawback for investors is the tax liability: they must pay taxes on dividends that are automatically converted into Bitcoin, requiring out-of-pocket cash for a gain they never directly receive. For the strategy to scale significantly, such funds would need to become a default or near-default option in retirement plans like 401(k)s. Recent regulatory moves, including a Trump executive order and a Department of Labor proposal offering fiduciary safe harbors for including crypto assets, could pave the way. However, widespread employer adoption likely awaits further legal clarity. Ultimately, the fund's model leverages investor inertia and automated systems, rather than convincing anyone to actively choose Bitcoin. While it creates a new, albeit small, structural buyer, its rebalancing rules also establish a built-in "selling ceiling" that could dampen price upside if similar products proliferate.

Foresight News06/26 02:48

A Trillion-Dollar Entry Point for Pension Funds? Franklin's Bitcoin Dividend Reinvestment ETFs Come with a Built-In Selling Pressure Ceiling

Foresight News06/26 02:48

Why Do Crypto Projects Always Love Changing Names?

This article explores why cryptocurrency projects frequently change their names, a practice uncommon in traditional businesses where brand equity is a core asset. Over 16% of crypto projects have reportedly rebranded, often for strategic, marketing, or defensive reasons. The primary explanation is the weak user loyalty in crypto; many users are investors, airdrop hunters, or narrative traders, not traditional consumers. When a project's token price falls, its narrative fades, or it faces scandals/hacks, its old name becomes a liability laden with negative history rather than brand value. Therefore, frequent rebranding aims to shed this historical baggage. Name changes can be a marketing strategy to align with new business directions (e.g., Matic to Polygon), capitalize on trending narratives (e.g., adding "AI" or "Multiverse"), or distance from past failures like security breaches (e.g., Anyswap to Multichain). However, the most concerning aspect often involves a simultaneous token migration or swap. This process can serve as a "liquidity reset": it wipes historical price charts, potentially eases market manipulation, and is sometimes used to introduce new tokenomics that dilute existing holders' value through hidden inflation. The article concludes that while legitimate strategic pivots can justify a rebrand, many crypto name changes are less about building a new future and more about escaping the past—erasing bad memories, failed narratives, and dissatisfied communities. The key questions for any rebranding project are: what genuine new value or strategy does it bring, how has the tokenomics changed, and what part of its history is it trying to make users forget?

链捕手06/26 02:41

Why Do Crypto Projects Always Love Changing Names?

链捕手06/26 02:41

Fable 5 Begins Gradual Rollout? Countdown to the June 26th Deadline

Exciting news has emerged in the AI community: Fable 5, which was previously disabled, appears to be undergoing a partial, gradual rollout. Users are reporting sightings of the model in the Claude mobile app's model selector and through specific commands, accompanied by messages about weekly usage limits. Code strings in recent Claude updates hint that Fable 5 might be permanently integrated into existing subscriptions as a weekly quota, rather than a separate purchase. The rollout seems inconsistent—available only in specific chat threads for some users, with indications that previous geographic restrictions may be loosening. A brief appearance on AWS, requiring U.S. ID verification and use-case approval, was later clarified as a UI bug. Simultaneously, rumors are circulating about the imminent launch of Claude Sonnet 5 (codenamed Fennec), which is speculated to offer performance nearing that of Opus 4.8. This would represent a significant generational leap. Anthropic has also quietly removed usage limits for the current Claude Sonnet model, fueling speculation about an upcoming major release. This flurry of activity comes just before a critical June 26th deadline. U.S. lawmakers have demanded that the Department of Commerce clarify its standards and timeline for potentially modifying export controls on such AI models. The recent testing and leaks are seen as high-stakes maneuvers ahead of this regulatory decision. The AI world is now watching closely to see if a wider reinstatement of advanced models will follow.

marsbit06/26 02:36

Fable 5 Begins Gradual Rollout? Countdown to the June 26th Deadline

marsbit06/26 02:36

Interview with PPP: How the World Cup Ignited the Prediction Market, and How to Find "Replicable Smart Money"?

Interview with PPP: World Cup Ignites Prediction Markets, How to Find “Replicable Smart Money”? With the World Cup underway, prediction markets are experiencing a historic surge in data and activity. However, most ordinary users struggle to achieve consistent profits amidst the volatility. Simply chasing "smart money" signals on social media is often ineffective due to slow manual execution. Even dedicated copy-trading tools can be misleading, as high total profits don't guarantee a strategy is suitable or sustainable for others to follow. Prediction market strategy platform PPP (Prediction Position Platform) argues that not all profitable addresses are fit for copying. Truly replicable "smart money" must demonstrate stable, long-term profitability across key metrics like win rate, max drawdown, and strategy consistency. PPP aims to solve this by building a system that structures complex on-chain data into actionable strategies for users. It employs a dual AI-modeling and manual-review process to analyze addresses based on performance, risk, capital allocation, and more, filtering out偶然性盈利 to identify statistically reliable strategies. The platform categorizes these strategies into two main products: a "Strategy Square" featuring long-term, vetted strategies with strict criteria like a six-month minimum track record, and a "Trading Leaderboard" highlighting shorter-term, high-performing opportunities from the past 30 days. Both are presented with clear style descriptions (e.g., "high implied win rate, high volatility"). Currently accessible via a Telegram Bot, PPP offers features like one-click trading, address copying, and an AI address analysis tool. It uses a subscription model and a non-custodial wallet. A trial run by the author yielded significant short-term gains, though subsequent drawdowns highlighted the importance of risk management and adjusting copy parameters per strategy. PPP’s core value lies not just in copy-trading, but in compiling and structuring混沌的交易信号 into replicable strategies, reducing information asymmetry in prediction markets. While it can’t guarantee future profits, it provides a more systematic, higher-probability entry point for users navigating the uncertain but opportunity-rich landscape, especially during events like the World Cup.

Odaily星球日报06/26 02:30

Interview with PPP: How the World Cup Ignited the Prediction Market, and How to Find "Replicable Smart Money"?

Odaily星球日报06/26 02:30

Bitcoin at 59,000 Is Not the Bottom, One Last Drop Needed! Chain Data and Liquidity Analysis: Where is BTC's True Bottom?

Based on analysis by trader Mr. Beggar, Bitcoin's (BTC) recent low of $59k is likely not the final cycle bottom. He argues that while a bottom is near, a final downward movement is still probable to target liquidity below that level, making a deeper low healthier for a sustainable reversal. Mr. Beggar's framework combines on-chain data for long-term cycles and liquidity-based technical analysis for shorter-term trades. His "four deep bear buying models" include Cointime Price (market cost weighted by coin holding time) and AVIV (an enhanced MVRV indicator), which currently suggest prices are nearing cyclical bottom zones. While a PSIP (Percent Supply in Profit) signal has flashed below 50%, it alone is not considered definitive; typically, the first signal is not the final bottom. He presents three potential scenarios for the current market: 1) a direct drop from here, 2) an upward liquidity sweep (stop hunt) of the recent high near $67.3k before declining, and 3) a direct reversal without new lows. He heavily discounts the third scenario due to significant un-swept liquidity in the $59k-$62.3k range, suggesting the market must revisit these levels. Mr. Beggar shares that he used on-chain signals to identify potential cycle tops in late 2024/early 2025 and later established low-leverage BTC-denominated short positions. He emphasizes the importance of risk management and staying within one's expertise ("strike zone"), warning against investing in assets like AI/semiconductor stocks simply because they are rising.

marsbit06/26 02:01

Bitcoin at 59,000 Is Not the Bottom, One Last Drop Needed! Chain Data and Liquidity Analysis: Where is BTC's True Bottom?

marsbit06/26 02:01

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