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Notícias de cripto - Página 373

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.

Market Adjusts Following Google's $84.7 Billion Fundraising, AI Valuations Now Focus on Payback Speed

After Alphabet's announcement of an $84.75 billion equity financing round, market focus for AI investment is shifting from pure growth narratives to capital efficiency and payback periods. The core argument is that AI is being re-priced from a software-like growth story into a heavy-asset infrastructure cycle, requiring massive capital expenditure (CapEx) on chips, data centers, and power grids. While Alphabet's financing itself is not a distress signal—part of it is for administrative purposes like tax obligations on stock compensation—it highlights the enormous capital demands of AI infrastructure. This demand extends beyond tech giants to pure-play AI model companies (like OpenAI, Anthropic), data center REITs, and utilities. Major tech firms are projected to spend heavily on AI data centers in 2026, signaling a broad-based capital cycle the market must absorb. Consequently, valuation logic is changing. Investors are moving away from questions about who has the strongest AI narrative and are now prioritizing clear visibility into orders, stable cash flows, and the cost of capital. This has led to recent pressure on high-multiple AI software and semiconductor stocks, while "picks-and-shovels" hardware, data center, and power assets with firmer near-term demand may see relative support. The key going forward will be monitoring whether rising CapEx guidance across companies is matched by a timely monetization of AI investments into revenue and cash flow. The market's tolerance for high spending depends on demonstrable returns. While the long-term AI thesis remains intact, the valuation framework has fundamentally shifted to emphasize capital discipline and payback speed.

marsbit06/12 05:48

Market Adjusts Following Google's $84.7 Billion Fundraising, AI Valuations Now Focus on Payback Speed

marsbit06/12 05:48

Orbs Launches Institutional DeFi Trading Infrastructure

Orbs has launched "Orbs Institutional," a new infrastructure offering designed to provide institutional clients like trading desks, OTC firms, and custodians with direct access to its on-chain execution technology. This move expands the reach of its protocol, which has processed over $2.5 billion in spot volume since 2023. The core of the service is the Liquidity Hub, an aggregation protocol that sources liquidity from professional market makers and DEXes to improve execution quality and reduce MEV risks. Institutions gain access to trading tools like dTWAP and dLIMIT, while maintaining control of their assets through EIP-712 compatible custody solutions. Orbs Institutional offers integration via direct APIs for clients or white-label solutions for platforms. The company believes this direct, transparent, and self-custodied infrastructure will drive the next phase of institutional DeFi adoption as demand for sophisticated on-chain trading grows.

TheNewsCrypto06/12 05:40

Orbs Launches Institutional DeFi Trading Infrastructure

TheNewsCrypto06/12 05:40

Managing a Company Valued at Nearly a Trillion Dollars, Anthropic's CEO Has Only One Direct Report

Anthropic CEO Dario Amodei has only one direct report, his chief of staff, in a stark departure from the tech industry trend of CEOs managing many direct reports. Company executives instead report to President Daniela Amodei, Dario's sister, who handles daily operations. This structure allows Dario, a researcher by background, to focus his time on long-term strategy, research direction, and cultivating company culture, which he sees as critical as Anthropic grows rapidly and hires from larger tech firms. He spends significant time on company-wide meetings and writing about AI's societal impact. Harvard professor Raffaella Sadun suggests such a narrow span of control is suitable for companies like Anthropic that face novel, high-stakes problems requiring top-level judgment, as it protects the CEO's time as the scarcest resource.

marsbit06/12 05:11

Managing a Company Valued at Nearly a Trillion Dollars, Anthropic's CEO Has Only One Direct Report

marsbit06/12 05:11

Bitcoin Price Just Entered The DCA Zone That Has Previously Triggered A 2,200% Rally To ATH

Bitcoin's price has entered a long-term dollar-cost averaging (DCA) zone, a pattern reminiscent of previous market cycles that preceded massive rallies. Analysts note this zone appeared after the 2017 peak and again post-FTX collapse in 2022, periods characterized by peak fear and significant price declines, which ultimately led to recoveries of over 2,200% and 600%, respectively, to new all-time highs. Currently trading around $62,800, Bitcoin is testing this historical accumulation support. While bearish pressures from ETF outflows and on-chain metrics like a declining Realized Cap persist, this aligns with past cycles where the DCA zone formed amid pessimism before a major bullish reversal. The key question is whether Bitcoin can hold this structural support to validate the cycle comparison.

bitcoinist06/12 05:07

Bitcoin Price Just Entered The DCA Zone That Has Previously Triggered A 2,200% Rally To ATH

bitcoinist06/12 05:07

Investors Are Now Hunting for AI Projects on Bilibili and Xiaohongshu

Investors Turn to Bilibili and Xiaohongshu to Source AI Projects The AI hardware boom is in full swing in 2025, with a surge in smart wearables like AI glasses, rings, toys, and companion robots. This frenzy has investors scrambling, not just sifting through business plans, but actively hunting for promising "under-the-radar" projects on youth and tech-enthusiast content platforms like Bilibili and Xiaohongshu. The logic is straightforward: for consumer-facing AI hardware, genuine user demand and potential pitfalls are often revealed earlier in public discussions, comments, and critiques on these communities than in formal pitches. As one industry insider notes, these products must ultimately be tested and understood by real people. This shift highlights a crucial challenge in the sector: user education. The success of AI hardware depends on moving beyond mere efficiency gains to fulfilling higher-order needs like "unleashing personal creativity." Products must convince users they are natural, unobtrusive additions to daily life. Early hype, as seen with devices like the Rabbit R1, often fades if the product fails to clearly solve real-world problems, leading to high return rates and market rejection. The market is now entering a shakeout phase. 2026 is seen as a year of commercial validation. Some projects have already stalled or been canceled due to market resistance, lack of differentiation, or financial woes. However, the long-term opportunity remains vast, with forecasts predicting a multi-trillion dollar global AI hardware market by 2030. The competition is intensifying. With giants like OpenAI and Meta preparing their own hardware, and Chinese companies launching diverse AI-powered products, the battle for user attention, product excellence, and market understanding is just beginning. The core principle endures: in the AI era, it remains a user-sovereign market.

marsbit06/12 05:07

Investors Are Now Hunting for AI Projects on Bilibili and Xiaohongshu

marsbit06/12 05:07

Trump's 38th Claim of 'Imminent Deal' Sparks TACO-Style Surge in Global Stock Markets

Trump claims for the 38th time that a "final deal is imminent," sparking a TACO-style surge in global stock markets. Following the US military's sudden strike on Iran and Trump's subsequent cancellation of promised "tough measures," his latest announcement triggered sharp rallies. US indices (Dow up 1.90%, Nasdaq up 3.42%) and crypto-related stocks rose, while Asian markets like South Korea's KOSPI (up over 6%, briefly triggering a trading halt) and Japan's Nikkei also surged. Oil prices fell 4.3% and gold rebounded 3.1%. The macro backdrop includes potential de-escalation in the US-Iran-Israel conflict, US CPI hitting a 3-year high of 4.2% year-over-year (easing Fed rate hike fears), and heavy retail buying in Asian markets using leveraged accounts. However, the situation remains fragile. Iran denies any breakthrough, and analysts warn of a potential 6-7% correction in the S&P 500 due to overheated sentiment and high valuations. Additionally, the massive SpaceX IPO, with retail demand exceeding $100 billion, is drawing liquidity from the broader market, posing a near-term test for stock prices. In summary, while markets are reacting positively to Trump's statements and macro data, risks persist from geopolitical uncertainty, excessive speculation, and liquidity pressures from major IPOs.

marsbit06/12 05:01

Trump's 38th Claim of 'Imminent Deal' Sparks TACO-Style Surge in Global Stock Markets

marsbit06/12 05:01

"Agents' Last Exam", Claude Fable 5 Actually Loses to GPT 5.5

Surprisingly, in the newly released "Agents' Last Exam" (ALE) benchmark from UC Berkeley, GPT-5.5 has outperformed the recently launched and highly-regarded Claude Fable 5. ALE tests AI agents on their ability to perform real-world tasks across 55 professional domains—such as 3D modeling in Siemens NX, creating game scenes in Unreal Engine, and visual effects work in Adobe After Effects—by granting them full GUI and command-line access. In the core task completion rate ranking, GPT-5.5 configurations secured the top two spots (24.0% and 23.0%), while Claude Fable 5 with Claude Code came in third (22.0%). Notably, the highest pass rate was only 24%, and the most difficult "Last-Exam" tier saw most top models, including GPT-5.5 and Fable 5, scoring zero. The benchmark also revealed significant cost and efficiency gaps: Fable 5 spent over four times more money than GPT-5.5's most expensive configuration for a slightly lower score, and was much slower. ALE differs from previous knowledge-based benchmarks by evaluating practical "ability to do" rather than static knowledge retrieval. Its tasks are derived from real expert projects, automatically scored, and designed to prevent cheating through a rotating pool of private challenges. The results suggest that high performance on traditional benchmarks does not necessarily translate to proficiency in complex, open-ended real-world work. The study also notes that agents often fail by prematurely declaring tasks complete without proper verification, and that no single model excels uniformly across all diverse domains.

marsbit06/12 05:01

"Agents' Last Exam", Claude Fable 5 Actually Loses to GPT 5.5

marsbit06/12 05:01

Trump's 38th Call 'Deal is Imminent', Global Markets Experience TACO-style Surge

Former U.S. President Trump claimed for the 38th time that a "final agreement" is imminent, triggering a "TACO-style" surge in global stock markets. Major U.S. indices, as well as Japanese and South Korean markets, posted significant gains, with oil prices falling and gold rising. The market rally is attributed to renewed hopes for a ceasefire in the U.S.-Iran-Israel conflict, the latest U.S. CPI data showing inflation at a multi-year high but easing core pressures, and a significantly reduced expectation of a Federal Reserve rate hike this year. However, analysts warn of potential risks. The situation in the Middle East remains unresolved, with Iran denying any agreement. Several institutions have turned cautious, flagging overvaluation, speculative excess, and warning of a potential 6-7% correction in the S&P 500. Additionally, the massive SpaceX IPO, which has seen overwhelming retail demand, is testing market liquidity as investors may sell existing holdings to participate. Experts advise caution against market volatility driven by Trump's unpredictable statements.

Odaily星球日报06/12 04:31

Trump's 38th Call 'Deal is Imminent', Global Markets Experience TACO-style Surge

Odaily星球日报06/12 04:31

Retail Ecology Dwindles, ZKsync Bets on Bank Pilots for a Breakthrough

Amidst declining retail activity, ZKsync is pivoting to target institutional banking as its primary growth strategy. The article explores this shift, contrasting it with the competitive "survival of the fittest" narrative by highlighting a cooperative model inspired by naturalist Peter Kropotkin. ZKsync is developing infrastructure like its private, permissioned Prividium suite for banks (e.g., Deutsche Bank's use case via Memento), enabling private transactions with public verifiability via zero-knowledge proofs. This appeals to institutions needing privacy, compliance, and Ethereum-based settlement security, unlike fully private chains (e.g., JPMorgan's Kinaxis) or consortium models (e.g., R3 Corda). However, this strategic focus has coincided with a steep decline in its public DeFi ecosystem, evidenced by plunging TVL and the departure of major protocols like Aave due to low fees. The network's future now hinges on banking adoption, with upcoming pilots like the Cari Network involving regional banks holding over $600 billion in deposits. A significant challenge is balancing this institutional focus with ZKsync's decentralized governance. Banks must operate on a network where rules and fees (denominated in the volatile ZK token) can be changed via community vote, and where a Security Council holds emergency control—a stark contrast to the predictable, contract-bound environments of traditional finance. The coming 18 months will test whether ZKsync can successfully onboard traditional banks onto a dynamically governed public chain or if institutions will ultimately revert to proprietary solutions.

Foresight News06/12 04:19

Retail Ecology Dwindles, ZKsync Bets on Bank Pilots for a Breakthrough

Foresight News06/12 04:19

The Recursive AI Anthropic Warned About: Tian Yuandong's New Company Has Just Taken the "First Step"

Anthropic recently highlighted the rapid progress toward "recursive self-improvement," where AI systems autonomously design and train their successors. In response, Recursive Superintelligence, a new company co-founded by former Meta researcher Tian Yuan Dong, has publicly demonstrated its first step toward automating AI research. The company released a system designed to autonomously execute the full AI research cycle: generating ideas, implementing code, running experiments, and learning from results. It validated this approach by achieving state-of-the-art results on three diverse benchmarks: 1. **NanoChat Autoresearch:** Optimizing a small language model's validation loss under a fixed 5-minute GPU budget, improving upon the community's best result. 2. **NanoGPT Speedrun:** Reducing the time to train a GPT model to a specific loss on 8 H100 GPUs from 79.7 seconds to 77.5 seconds, beating a highly optimized, human-driven community effort. 3. **SOL-ExecBench:** Improving the overall score on NVIDIA's suite of 235 GPU kernel optimization tasks by 18%, closing the gap to the hardware limit. The system discovered novel optimizations in this highly specialized domain without direct human expertise. Recursive's system operates as a general framework, capable of parallel exploration and cross-task knowledge transfer while incorporating safeguards against reward hacking. The company, backed by $650M in funding and a star-studded team including Richard Socher and Alexey Dosovitskiy, aims to create AI that recursively enhances its own research capabilities. This development represents an early but concrete move toward a new paradigm where AI accelerates its own advancement. It occurs alongside Anthropic's warnings about the need for industry coordination and potential pauses when recursive self-improvement thresholds are reached, highlighting the dual trajectory of rapid technical progress and growing calls for careful stewardship.

marsbit06/12 04:12

The Recursive AI Anthropic Warned About: Tian Yuandong's New Company Has Just Taken the "First Step"

marsbit06/12 04:12

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