2026-08-06 Quinta

Notícias de cripto - Página 290

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.

Tidal Investment: We Remain Bullish on the AI Industry Chain, But the Reasons Have Changed

Tidal Investment remains optimistic about the AI industry chain, but the rationale has shifted. The market narrative has changed. While recent large-scale IPOs (e.g., SpaceX) and major fundraising plans by tech giants like Alphabet and Meta have caused some nervousness, this isn't a sign of an AI peak. The focus has moved from the initial question of AI's viability to the sustainability of massive investment cycles. The key players—primarily the major cloud providers—are not slowing down; their capital expenditure (Capex) guidance for 2026 has been increased across the board (e.g., Alphabet to $180B, Amazon to $200B). This investment cycle is proving resilient and difficult to stop. Unlike traditional hardware cycles, current AI Capex is distributed across multiple physical layers—computing, memory, networking, and critically, power infrastructure. Bottlenecks are shifting from chips to elements like electricity, transformers, and cooling systems, which have much longer lead times and cannot be easily pre-built like fiber optics during the dot-com bubble. Supply chain data (e.g., Eaton's 240% YoY data center orders) confirms this broad-based, project-driven expansion. Market concerns are acknowledged but viewed differently. First, while Capex growth currently outpaces revenue growth, raising ROI questions, this mirrors the early scaling phase of cloud computing itself. A change in view would require concrete signals like downward Capex revisions or missed AI product targets, which haven't materialized by mid-2026. Second, comparisons to the 2000 dot-com bust are flawed. That crash was driven by a massive, parallel oversupply of cheap capacity (fiber). The current cycle faces *supply constraints* in critical, capital-intensive physical infrastructure that cannot be overbuilt as easily. In conclusion, the wave of fundraising reflects the next, more complex act of the AI story. Physical bottlenecks and sustained high Capex plans suggest this is not the finale but an ongoing, capital-intensive build-out phase. The script has changed, but the play is far from over.

marsbit06/25 10:36

Tidal Investment: We Remain Bullish on the AI Industry Chain, But the Reasons Have Changed

marsbit06/25 10:36

Tidal Investment: We Remain Bullish on the AI Industry Chain, But for Different Reasons Now

Tidal Investments remains optimistic about the AI industry chain, but the rationale has shifted. The market is concerned about massive concurrent fundraising by tech giants like SpaceX, OpenAI, Alphabet, and Meta, fearing an AI peak. However, the authors argue this signals the next act of AI development, not its end. Capital expenditure (Capex) from major cloud providers (Alphabet, Amazon, Meta, Microsoft, Oracle) continues to surge aggressively into 2026. This investment cycle is more resilient than past hardware cycles due to its scale and complexity. Bottlenecks have shifted from chips to critical physical infrastructure like power grids, transformers, cooling, and data center construction—areas with long lead times and limited capacity for rapid expansion. Supply chain data (e.g., Eaton's orders) confirms substantial, tangible progress. Key market concerns are addressed: 1. **ROI vs. Capex Growth**: While Capex growth outpaces revenue, the authors note cloud giants have historically overcome similar phases through scale. The cycle will only be in danger if Capex guidance is cut, orders are canceled, or AI product demand falters—none of which are currently observed. 2. **Comparison to the 2000 Dot-com Bubble**: Unlike the telecom bubble, where cheap, oversupplied fiber crashed prices, AI infrastructure (especially power) is constrained, customized, and subject to lengthy approvals, making a similar supply glut and crash unlikely. In conclusion, the wave of fundraising reflects the immense, ongoing capital needs for AI's next phase, constrained by slow-moving physical bottlenecks. The AI cycle is not over; the script has simply changed.

链捕手06/25 10:29

Tidal Investment: We Remain Bullish on the AI Industry Chain, But for Different Reasons Now

链捕手06/25 10:29

Grayscale: These 15 Profitable Crypto Protocols Are Severely Undervalued

Grayscale Research identifies 15 top-revenue crypto protocols trading at significant valuation discounts, with many at single-digit or even 1x revenue multiples. Protocols like Pump.fun, PancakeSwap, and Meteora have market capitalizations roughly equal to their annual revenue. The report argues these financially-focused protocols (DEXs, lending, staking) are fundamentally undervalued and could benefit from the potential passage of the CLARITY Act, expected as soon as next month. This legislation aims to clarify digital asset regulation, potentially reducing institutional barriers and driving on-chain activity. The analysis breaks down the protocols into three groups: the "1x Club" (market cap ≈ revenue), mid-tier protocols with 3-9x multiples (e.g., Aave, Lido, Jupiter), and high-multiple protocols like Hyperliquid (15x) and Uniswap (37x), where valuation reflects future potential rather than current cash flows. Grayscale applies a traditional DCF model to Aave, suggesting a one-year price target of ~$175, representing ~130% upside from current levels. The report notes a risk-off macro environment since the Iran conflict has further compressed valuations, creating a potential entry window. The conclusion highlights that while the valuation data presents an intriguing opportunity, the investment thesis is contingent on the CLARITY Act's passage and subsequent institutional capital flows. Investors are cautioned to consider Grayscale's inherent conflict of interest as a crypto asset manager with products tied to these assets.

marsbit06/25 10:01

Grayscale: These 15 Profitable Crypto Protocols Are Severely Undervalued

marsbit06/25 10:01

Ripple Launches RLUSD in Japan as Regulated Stablecoin Expansion Gains Momentum

Ripple has officially launched its regulated U.S. dollar stablecoin, RLUSD, in Japan through the SBI VC Trade platform (VCTRADE). This follows approval from Japan's Financial Services Agency under the country's Type 4 Electronic Payment Instrument framework. The launch marks a significant expansion for RLUSD into a major, technologically advanced market and deepens Ripple's long-standing partnership with the SBI Group, which began in 2016. In Japan, RLUSD will be used for cross-border payments, tokenization, and collateral management. The stablecoin is backed by U.S. dollar deposits, Treasury holdings, and cash equivalents, with regular third-party attestations. SBI VC Trade will offer free deposits and withdrawals for the asset. Since its late-2024 debut, RLUSD's market capitalization has grown to approximately $1.7 billion, making it the second USD stablecoin on the VCTRADE platform after USD Coin. Ripple highlights Japan's clear regulatory environment as key to this strategic growth.

TheNewsCrypto06/25 09:56

Ripple Launches RLUSD in Japan as Regulated Stablecoin Expansion Gains Momentum

TheNewsCrypto06/25 09:56

Sam Altman's Personal Alchemy of Wealth: Investing in 400 Companies, Over 10 Deeply Tied to OpenAI

The article investigates Sam Altman's personal wealth strategy, centered around his investments in approximately 400 companies while serving as OpenAI's CEO. Despite not holding direct equity in OpenAI, Altman has built a vast portfolio, with at least 10 of his investments having commercial ties or ongoing negotiations with OpenAI. This creates a complex network of potential conflicts of interest, drawing scrutiny from U.S. congressional committees and state attorneys general. Key investments highlighted include the anti-aging startup Retro Biosciences (valued at $258 million for his stake as of late last year) and the chipmaker Cerebras, whose value soared following an OpenAI procurement deal. His most significant financial gain is linked to the nuclear fusion company Helion, where a recent funding round reportedly increased his stake's value to at least $4.1 billion. The article details a decade-long relationship between Altman, Helion, and OpenAI, including a controversial non-binding power purchase agreement and Altman's efforts to secure investments from OpenAI and its backer SoftBank for Helion. Other points include internal investigations at Tools for Humanity (developer of Worldcoin) and OpenAI's massive contracts with tech giants like Nvidia. According to Forbes, Altman's net worth is around $3.4 billion, ranking him 1251st globally—a rise of over 1400 places since 2024. OpenAI's board states that Altman's external dealings are transparent and potential conflicts are carefully managed.

Odaily星球日报06/25 09:41

Sam Altman's Personal Alchemy of Wealth: Investing in 400 Companies, Over 10 Deeply Tied to OpenAI

Odaily星球日报06/25 09:41

Former SpaceX Engineer Reconstructs Financial Execution System Using First Principles

Former SpaceX engineer Lex Li applies "First Principles Thinking" to financial infrastructure with Plan Execution Lab, recently raising angel funding at a $50M post-money valuation. The team argues that the core function of finance is capital allocation, and the critical gap is not in trading but in execution, which remains highly manual and fragmented. While assets, liquidity, and settlement have migrated on-chain, execution workflows (monitoring, risk management, liquidity coordination) are still human-native. In an era of accelerating AI agents, strategy decay is rapid, shifting the competitive edge from having the best strategy to having the most robust execution network. Plan Execution Lab introduces two core components: 1. **PlanX**: A Financial Execution Protocol designed as infrastructure for the migration from CEX to DEX, providing on-chain execution capabilities, liquidity access, risk management, and capital orchestration. 2. **Xgent**: An Autonomous Financial Runtime. Users define investment intents, risk preferences, and constraints; Xgent automatically constructs an execution graph, verifies it, and handles ongoing execution and optimization—streamlining the process from Intent to Autonomous Execution. The long-term vision is to create the "Bloomberg Terminal for Autonomous Finance"—a shared operating environment and execution network built collectively by participants like execution nodes, liquidity providers, and autonomous agents. The future of finance, they contend, belongs not to isolated algorithms but to open, collaborative execution networks.

marsbit06/25 09:06

Former SpaceX Engineer Reconstructs Financial Execution System Using First Principles

marsbit06/25 09:06

Former SpaceX Engineer Reconstructs Financial Execution System from First Principles

Plan Execution Lab, a financial infrastructure project founded by former SpaceX engineer Lex Li, has raised angel funding at a $50M post-money valuation. The startup is applying "first principles thinking" from Li's SpaceX experience to rethink financial market execution. Their analysis posits that while assets, liquidity, and settlement have moved on-chain, the execution layer remains fundamentally human-dependent and fragmented. In the era of AI Agents, strategy advantages decay rapidly, shifting the competitive edge from isolated algorithms to robust **execution networks**. Plan Execution Lab's solution is a two-part system: **PlanX**, a Financial Execution Protocol designed to facilitate the migration from centralized exchanges (CEX) to on-chain markets by providing core on-chain execution capabilities; and **Xgent**, an Autonomous Financial Runtime. Xgent allows users to define investment goals and constraints, then autonomously constructs and manages the execution logic—moving from **Intent to Execution Graph to Verification to Autonomous Execution**. The long-term vision is to create the "Bloomberg Terminal for Autonomous Finance"—an operating environment not for humans, but for agents and execution nodes. The future financial system, they argue, will be a collaborative network built by diverse participants contributing execution capabilities, not secret strategies. The core competition will shift to who builds the most powerful and adaptive execution network.

链捕手06/25 09:06

Former SpaceX Engineer Reconstructs Financial Execution System from First Principles

链捕手06/25 09:06

First Long-Horizon Doc2Repo Training Dataset: Code Agents Move Beyond Bug Fixing and Begin Creating Repositories

With the advancement of LLM Code Agents, the research focus is shifting towards long-horizon, real-world tasks, moving beyond simple bug fixes to full repository generation. To address this, researchers from Renmin University of China introduced the DeNovoSWE dataset. This dataset focuses on long-term software engineering tasks, specifically the "document-to-repository" challenge—generating an entire, executable code repository from a task description. The DeNovoSWE construction method employs a Divide & Conquer approach. It breaks down target repositories into core capabilities and uses a multi-agent Draft-Critic-Repair workflow to automatically generate high-quality, evaluation-aligned task documents. The dataset also implements difficulty-aware filtering to balance quality and diversity. The result is a high-quality, anti-leakage dataset of 4,818 instances. Experiments show that models trained on DeNovoSWE achieve significant improvements in long-horizon repository generation. For instance, Qwen3-30B-A3B-Instruct's performance on the BeyondSWE-Doc2Repo benchmark increased from 5.8% to 47.2%, and on NL2RepoBench from 4.3% to 23.0%. Similar gains were observed with stronger backbones, demonstrating that dedicated long-horizon training data is crucial for advancing Code Agents from maintainers to architects capable of planning and building complete software projects from scratch.

marsbit06/25 08:51

First Long-Horizon Doc2Repo Training Dataset: Code Agents Move Beyond Bug Fixing and Begin Creating Repositories

marsbit06/25 08:51

Even CZ Praised Hyperliquid as 'Awesome', But Its Biggest Moat Might Also Be Its Biggest Risk

In an episode of Galaxy Brains, Binance founder CZ praised Hyperliquid as "awesome" but clarified that while its product is strong, Binance cannot compete in its specific niche due to Hyperliquid's no-KYC, decentralized model. CZ noted he would not personally operate such a model, highlighting the inherent legal and compliance risks tied to its access advantage. The discussion underscores a core market structure conflict: on-chain perp platforms like Hyperliquid thrive on open, low-barrier access, which regulated exchanges like Binance cannot replicate without abandoning their global compliance posture. However, this very advantage makes Hyperliquid a clear target for regulatory scrutiny. The UK FCA has already issued a warning against Hyperliquid for potentially offering unauthorized services to UK users, framing it as a financial services provider rather than neutral infrastructure. Historical cases like the CFTC's action against bZeroX and Ooki DAO further illustrate that regulators may pursue decentralized structures if they facilitate leveraged trading for retail users without proper controls. Meanwhile, regulated venues like Cboe are developing US-compliant "continuous futures" that mimic perpetual exposure, narrowing the product gap. Hyperliquid's long-term edge may increasingly hinge on its access model—the very feature most exposed to regulatory pressure. The key question is whether its "access premium" can withstand escalating legal challenges as on-chain perps gain mainstream attention.

marsbit06/25 08:32

Even CZ Praised Hyperliquid as 'Awesome', But Its Biggest Moat Might Also Be Its Biggest Risk

marsbit06/25 08:32

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