2026-06-09 Вторник

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Bitcoin Treasury Race Heats Up As Capital B Secures $18 Million

Europe's second-largest corporate Bitcoin holder, Capital B, has secured €15.2 million (approx. $17.8 million) from a private share placement. The raise was notably backed by Blockstream CEO Adam Back and asset manager TOBAM. The company could potentially receive an additional $116.5 million if attached warrants are exercised. Capital B plans to use the funds, alongside operational revenue, to acquire around 182 more Bitcoin, bringing its total holdings to roughly 3,125 BTC, valued at approximately $237 million. This move stands in contrast to other corporate treasury firms that have been selling Bitcoin or setting up hedging programs amid recent market softness. Capital B shares rose about 4.25% following the announcement.

bitcoinist05/12 09:35

Bitcoin Treasury Race Heats Up As Capital B Secures $18 Million

bitcoinist05/12 09:35

Cerebras IPO: A $48.8 Billion Valuation—Is the 'Nvidia Challenger' a Bubble or a New King?

Cerebras Systems, positioning itself as an NVIDIA challenger, is going public with a $48.8 billion valuation despite several underlying paradoxes revealed in its S-1 filing. While 2025 revenue grew 76% to $510M and GAAP net income was $237.8M, this profitability relies heavily on a one-time, non-cash accounting gain. Adjusting for this, the company's non-GAAP net loss actually widened to $75.7M. Furthermore, customer concentration remains extreme: 86% of 2025 revenue came from two Abu Dhabi-based entities, MBZUAI (62%) and G42 (24%). Its landmark deal with OpenAI, valued at over $20 billion, creates a complex, nested relationship where OpenAI is simultaneously a major customer, lender, warrant holder, and strategic partner with exclusivity clauses. Cerebras's technical edge in latency-sensitive AI inference is real, with its wafer-scale chip outperforming competitors in benchmarks. However, this advantage is confined to a specific niche, not the broader AI training market dominated by NVIDIA's CUDA ecosystem. With a 95x price-to-sales ratio, the valuation demands flawless execution of the OpenAI contract and massive future revenue growth. Key long-term risks include intense competition from giants like NVIDIA and AMD, a dual-class share structure granting insiders near-total voting control, and ongoing geopolitical uncertainties regarding export controls. The IPO is a pivotal capital markets event for AI infrastructure. As an investment, it represents a high-risk, high-reward bet on the "inference-first" narrative and Cerebras's ability to dominate its specialized segment, underpinned by a valuation that highlights the current fervor in the sector.

marsbit05/12 09:05

Cerebras IPO: A $48.8 Billion Valuation—Is the 'Nvidia Challenger' a Bubble or a New King?

marsbit05/12 09:05

Distribution is King: Robinhood is Devouring the Prediction Markets

Distribution is King: Robinhood is Consuming the Prediction Markets Robinhood has rapidly expanded into prediction markets by integrating Kalshi's event contracts, trading 88 billion contracts in Q1 2026 alone. Its key advantage is its 27.4 million funded users and its ability to cross-sell across stocks, crypto, options, and now prediction markets. This positions Robinhood to evolve from a broker to an integrated information-pricing platform, where event contracts for outcomes like earnings reports are displayed alongside the related assets. While dedicated platforms like Kalshi and Polymarket currently dominate, they face existential risk from potential US bans on sports betting contracts, which form a majority of their revenue. Robinhood, through its Rothera LLC joint venture, is moving to own the entire prediction market stack, capturing more revenue and adding interest income from user collateral. Financial modeling suggests Robinhood's prediction market segment could generate $8.25B to $15.75B in revenue by 2028, valuing it between $120B and $300B. Robinhood's deep integration, multi-asset user base, and regulatory diversification create a powerful distribution moat, threatening to absorb value from standalone prediction market platforms.

marsbit05/12 09:04

Distribution is King: Robinhood is Devouring the Prediction Markets

marsbit05/12 09:04

Ripple Gets Major Boost For Prime Brokerage Growth: $200M Debt Facility Announced

Ripple has secured a $200 million debt facility from Neuberger Specialty Finance to fuel the growth of its prime brokerage platform, Ripple Prime. The funds will enhance lending capacity and support margin financing for institutional clients operating in both traditional and digital markets. Ripple Prime, which emerged from Ripple's acquisition of Hidden Road, has reportedly tripled its revenue year-over-year. Neuberger's involvement highlights the platform's position at the intersection of traditional finance and fintech innovation. The announcement follows a recent investment-grade "BBB" issuer rating from Kroll, which noted the platform's scaling activities in exchange-traded derivatives and repo markets. Concurrently, Ripple's cryptocurrency XRP traded at $1.47, up 8% over the past month.

bitcoinist05/12 08:46

Ripple Gets Major Boost For Prime Brokerage Growth: $200M Debt Facility Announced

bitcoinist05/12 08:46

What Happens to Ethereum Developer Tools After the Grants Run Out?

On February 27th, the Ethereum Foundation (EF) announced Project Odin, a structured sustainability support program designed for a select group of strategic, previously grant-funded teams. Unlike a standard grant, Odin offers a long-term advisory mechanism focused on helping these teams establish credible, sustainable paths within a two-year framework, thereby reducing long-term dependence on single funding sources. The program addresses a critical post-grant challenge: how essential public goods, especially major developer tools, can achieve financial sustainability beyond initial funding. While grants from EF and programs like Gitcoin or RetroPGF remain vital for startups and research, they often fall short for mature, widely-used infrastructure. Tools like compilers, languages, and network stacks are deeply embedded but struggle with monetization, trapped between being too foundational to lose and too public to generate natural revenue. Project Odin provides teams with a dedicated Strategic Advisor to guide them through a three-phase process: 1) analyzing current funding and realistic options, 2) validating potential paths with stakeholders, and 3) executing plans, which may include crafting support contracts, service agreements, or other recurring revenue models. The first pilot participant is Vyper, a critical smart contract language for the EVM, highlighting the need for sustainable models for core infrastructure. The initiative reframes the public goods conversation from "who should be funded" to "how do already-proven teams avoid perpetual funding crises?" It encourages ecosystem participants—protocols and projects that depend on these tools—to view sustainable support not just as charity, but as essential risk management for their own operational supply chains.

marsbit05/12 08:35

What Happens to Ethereum Developer Tools After the Grants Run Out?

marsbit05/12 08:35

MARA Reports Q1 Revenue Below Expectations, Net Loss of $1.3 Billion, Stock Plunges After Hours

Bitcoin mining firm MARA Holdings reported disappointing Q1 2024 results, causing its stock to erase all daily gains and fall 3.44% in after-hours trading. Revenue dropped 18% year-over-year to $174.6 million, missing Wall Street estimates of $192.7 million. The company posted a net loss of $1.3 billion, a significant increase from a $533.4 million loss a year ago, primarily driven by unrealized losses on its holdings of 38,689 Bitcoin, which depreciated in value during the quarter. MARA also sold over 15,100 BTC in late March to repurchase debt at a discount. The broader mining environment remains challenging due to a 35% decline in Bitcoin's price from its all-time high and a nearly 30% increase in mining difficulty over the past year. MARA's market cap ranking among U.S. miners has slipped to seventh. Critically, the company announced a strategic pivot away from Bitcoin mining expansion. It stated it has no plans to purchase new mining equipment and is fully transitioning toward AI data centers. Its strategy involves retrofitting existing mining sites for AI and high-performance computing (HPC) and leveraging its recent $1.5 billion acquisition of Long Ridge Energy & Power, a gas-fired power plant and data center. This infrastructure could eventually support 600 MW of AI compute capacity, allowing MARA to redeploy up to 90% of its non-custodial mining power for AI and IT workloads.

marsbit05/12 08:35

MARA Reports Q1 Revenue Below Expectations, Net Loss of $1.3 Billion, Stock Plunges After Hours

marsbit05/12 08:35

The AI Investment Landscape Is Being Reshaped: Beyond the 'Magnificent Seven', What Opportunities Lie in the Semiconductor Supply Chain?

AI Investment Map is Reshaping: Opportunities Beyond the 'Magnificent Seven' Since ChatGPT ignited the AI wave, investment initially focused on the "Magnificent Seven" tech giants dominating cloud infrastructure. However, the rise of DeepSeek and debates on AI capital expenditure effectiveness are shifting this dynamic. Investors now recognize opportunities deeper in the supply chain—the companies providing the essential "picks and shovels." Early concerns about an AI investment "arms race" and potential low returns were partly alleviated by strong Q1 earnings from cloud providers, validating robust compute demand. This has highlighted a more certain investment thesis: regardless of which AI applications ultimately win, massive capital expenditure will first fuel demand for semiconductors and related components. This "pick-and-shovel" logic has driven semiconductor ETFs to record highs. Key beneficiaries include: * **Memory Chipmakers (e.g., SK Hynix, Samsung, Micron)**: High Bandwidth Memory (HBM) is a critical bottleneck for AI training. * **Photonics Companies**: Crucial for high-speed data transfer within AI data centers. * **The Broader "AI-11" Semiconductor Ecosystem**: This encompasses foundries & lithography (TSMC, ASML), logic & custom chips (AMD, Broadcom, Intel, Marvell), and enterprise storage (SanDisk, Western Digital). Every dollar of AI infrastructure spending flows through this chain. While the "Magnificent Seven" remain dominant in market size, their earnings growth premium over the rest of the S&P 500 ("S&P 493") is narrowing. Market attention and marginal investment are shifting towards the expanding semiconductor supply chain. The investment narrative is evolving from "betting on the ultimate AI winner" to "investing in the certainty of the infrastructure build-out." Understanding this shift from the demand side to the supply side is key to identifying future AI investment opportunities.

marsbit05/12 08:06

The AI Investment Landscape Is Being Reshaped: Beyond the 'Magnificent Seven', What Opportunities Lie in the Semiconductor Supply Chain?

marsbit05/12 08:06

As Circle, the First Stablecoin Stock, Resolves to Shed Its Label

Circle, the "stablecoin stock," reported its Q1 2026 results, showing a 20% YoY revenue increase to $694M despite a 15% drop in net profit due to post-IPO stock-based compensation and operational investments. The company's USDC stablecoin hit a record $770B in circulation with on-chain transaction volume soaring 263% YoY. However, market share slightly declined amid competition. The key market catalyst was the announcement of a $222M pre-sale for the ARC token of Circle's new institutional-focused Layer 1 blockchain, Arc, valuing the network at $30B. Led by a16z, the round included major investors like BlackRock and Apollo. CEO Jeremy Allaire positioned this as a strategic pivot from a stablecoin issuer to a broader internet platform and "financial OS" company. Circle also launched "Agent Stack" products for AI agent payments using USDC. While reaffirming its full-year 2026 guidance, the company noted the financial impact of Arc is not yet included, leaving room for future upside. Following the report, CRCL's stock surged nearly 16%. Wall Street analysts remain largely bullish on the long-term narrative, though some caution about near-term execution risks and the current immaterial contribution of new initiatives like Arc. The focus is now on Arc's mainnet launch, ARC token adoption, and evolving U.S. crypto regulation.

链捕手05/12 07:49

As Circle, the First Stablecoin Stock, Resolves to Shed Its Label

链捕手05/12 07:49

600 People, $66 Billion: The First Major Cash-Out in the Era of Large Models

The first systematic "big cash-out" of the AI era occurred in October 2025, when over 600 current and former OpenAI employees sold a total of $6.6 billion in shares via a secondary market. Approximately 75 individuals maxed out a $30 million per-person sale limit, while around 525 others cashed out an average of $8.3 million each. This event, exceeding the scale of any 2024 US IPO, functioned as a "shadow IPO." It marked a radical departure from the traditional Silicon Valley path of waiting for a public listing, instead allowing employees to convert equity to cash after just two years of tenure—a direct retention tool in a fiercely competitive talent market where rivals like Meta have offered packages worth hundreds of millions. This massive liquidity event presents a dual-edged sword for OpenAI. While it helps retain talent, it also risks triggering a brain drain as newly wealthy employees may depart. Furthermore, it creates a dilemma for those who sold: they forfeited potential future gains as the company's valuation soared from $400 billion to $852 billion within months. In stark contrast, employees at rival Anthropic demonstrated greater reluctance to sell during their own secondary offering. The financial narratives of the two labs also diverge sharply. OpenAI, while achieving over $20 billion in annualized revenue by 2025, faces massive projected losses (up to $14 billion in 2026), a long path to cash flow positivity, and significant revenue-sharing payments to Microsoft. Anthropic reports rapid revenue growth, improving gross margins, and a faster path to profitability. OpenAI's trajectory is thus balanced precariously between skyrocketing valuation based on funding narratives and the pressures of sustained financial losses post-cash-out. The event underscores that the AI race has evolved into a capital and human experiment, where immense wealth crystallizes the complex calculations of greed, fear, and ambition within the industry.

marsbit05/12 07:46

600 People, $66 Billion: The First Major Cash-Out in the Era of Large Models

marsbit05/12 07:46

NVIDIA Begins Adding Soap to the Bubble

NVIDIA is taking on a dual role: not just as a leading chip supplier, but as a massive capital allocator across the entire AI supply chain. In 2026, the company has committed over $40 billion in investments within five months, targeting everything from optical fiber manufacturing and data center operations to foundational AI model development. This investment spree, described as a systematic "sprinkler" approach, primarily funds companies that are major buyers of NVIDIA's own GPUs. Critics, including analysts from Goldman Sachs, label this a "circular revenue" loop—comparable to a supplier financing a customer to buy more of its products. A prominent example is NVIDIA's investment in OpenAI, which is expected to generate around $13 billion in revenue for NVIDIA, much of which may be reinvested back into OpenAI. While CEO Jensen Huang dismisses the "circular financing" critique as "absurd," arguing the investments are confidence votes in long-term generational shifts, some analysts express discomfort. They note that while investments in critical supply chain components like optics are strategically sound, funding new cloud providers like CoreWeave feels like "pre-paying for your own GPUs." The strategy carries significant risks. If the AI investment cycle turns, the market may question how much demand is genuine versus artificially sustained by NVIDIA's own balance sheet. Despite posting record-breaking earnings—$215.9 billion in annual revenue and $120 billion in net profit for FY2026—NVIDIA's stock fell after its report, signaling that "beating expectations" may no longer be enough to assure investors about the duration of the AI spending boom. The article concludes that while a bubble isn't necessarily a fraud, NVIDIA's actions resemble adding soap to a bubble—making it appear more robust and durable. This creates a complex scenario requiring extreme冷静 from investors to distinguish between real structural growth and financial engineering.

marsbit05/12 07:29

NVIDIA Begins Adding Soap to the Bubble

marsbit05/12 07:29

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