2026-08-05 Quarta

Notícias de cripto - Página 206

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.

Is altcoin season here? Why Bitcoin’s $21B OI says not yet

While Glassnode's Altcoin Cycle Signal suggests altcoins are outperforming Bitcoin overall, indicating the start of an altcoin season, analysis of Open Interest (OI) presents a counterpoint. Bitcoin's OI stands at $21.11 billion, significantly higher than the $16.36 billion for altcoins. This signals that trader focus and capital inflows remain concentrated on Bitcoin, implying the broader altcoin market may still have room for expansion. Historically, altcoin rallies have often peaked when their OI surpasses Bitcoin's. Analysts note Bitcoin is holding support around $58,000, with selling pressure potentially fading. Some view the current Bitcoin price as an attractive long-term entry point, contingent on factors like Federal Reserve policy. However, as long as Bitcoin continues to dominate capital flows and the altcoin index remains below a key threshold, the market is seen as being in a Bitcoin-led phase rather than a full-blown altcoin season. The consensus is that a broad rotation into altcoins has not yet fully materialized.

ambcrypto07/06 02:01

Is altcoin season here? Why Bitcoin’s $21B OI says not yet

ambcrypto07/06 02:01

After Close Observation of Wash, Morgan Stanley's Chief Economist Insists: The Fed Will Not Raise Rates This Year

After close observation of Federal Reserve Chair Wash, Seth Carpenter, Morgan Stanley's Chief Global Economist, asserts that the Fed will not raise interest rates this year. Following Wash's speech at the ECB's Sintra forum, Carpenter notes a marginal dovish shift: Wash now more clearly balances the Fed's dual mandate of price stability and maximum employment, rather than focusing nearly exclusively on inflation. Importantly, Wash highlighted that the latest policy meeting (coinciding with falling oil prices) has already lowered market inflation expectations and term premiums, signaling no urgency for a July rate hike. Carpenter's view is supported by data. Recent non-farm payroll figures provide room for the Fed to remain patient. Morgan Stanley's inflation forecasts are below the median FOMC projection, and methodological revisions to PCE inflation could further lower readings. These factors make Carpenter "comfortable" with the call for no hikes in 2024. Carpenter also pushes back against the simplistic narrative that AI will be deflationary and lead to rate cuts. He argues AI investment is currently boosting inflation marginally. More broadly, the business cycle will dictate policy; AI's productivity gains could boost demand and, crucially, raise the equilibrium interest rate (r*), weakening the case for cuts. In contrast, the ECB's path remains more hawkish. Carpenter interprets President Lagarde's Sintra comments as leaving the door open for another 25 basis point hike in September, though softer recent data and falling oil prices provide some flexibility. A July hike or more than one additional hike this year is seen as unlikely.

marsbit07/06 01:39

After Close Observation of Wash, Morgan Stanley's Chief Economist Insists: The Fed Will Not Raise Rates This Year

marsbit07/06 01:39

StarDynamics Secures 2.5 Billion in Two Months, State-Owned Capital Consortium Joins In

Star Era Raises 25 Billion Yuan in Two Months with State Capital Leading the Charge. Chinese humanoid robotics leader Star Era has secured a new 10-billion-yuan funding round led by state-owned capital, including funds like Chengtong Fund under the SASAC, marking 25 billion yuan raised within two months. The company, a spin-off from Tsinghua University, has built a comprehensive capital matrix combining state guidance, top-tier financial backers, and industrial partners. Founded in 2023 by Dr. Chen Jianyu, one of Tsinghua's youngest doctoral supervisors, Star Era stands out for its early and pioneering work on "world models" for embodied AI, notably releasing its PAD world action model ahead of major global players. The company follows an AI-native, full-stack R&D strategy from data and AI brain to control, dexterous hands (XHAND series), and robot bodies (bipedal L7, wheeled Q5). A core innovation is its fully direct-drive dexterous hands, which act as high-fidelity data collectors for training its AI models like the ERA-42 and VLAW, creating a virtuous cycle of data and intelligence. Star Era claims to possess one of the world's largest real-world dexterous hand datasets. Commercially, Star Era has achieved product-market fit, most notably in logistics, with robots operating 24/7 in distribution centers for partners like SF Express and China Post, handling over 1,200 parcels per hour. It is also expanding into high-end manufacturing (Samsung, Geely) and commercial services. Its hardware components are used by nine of the global top ten tech firms and leading research institutions. The article positions 2026 as an inflection point where success shifts from model capabilities to proven, scalable commercial deployment. Star Era's rapid funding and industrial traction highlight its position in this competitive race.

marsbit07/06 01:35

StarDynamics Secures 2.5 Billion in Two Months, State-Owned Capital Consortium Joins In

marsbit07/06 01:35

U.S. Stock Market Trend (July 6th): Gold and Crypto Lead Rebound Ahead of Stocks, Fed Minutes Set Weekly Direction

**U.S. Market Trends (July 6): Gold & Crypto Lead, Fed Minutes to Set Tone** Markets rebounded ahead of the U.S. Independence Day holiday, with Nasdaq 100 futures rising over 1% as AI sector concerns eased. Gold posted its best week in over a month, breaking a four-week losing streak despite ongoing Russia-Ukraine tensions, as Middle East risk premiums faded. Brent crude extended its decline for a fourth week. The week ahead is packed with key events. On Tuesday, SpaceX makes a record-fast entry into the Nasdaq 100 index, forcing passive fund flows, while U.S. tariff hearings and the Sun Valley Conference—notably missing NVIDIA's Jensen Huang and Tesla's Elon Musk—add complexity. OpenAI's scheduled GPT-5.6 release intensifies the AI model rollout race. The main focus is Thursday's release of the first Fed meeting minutes under Chair Wash. With half the FOMC already leaning toward a rate hike this year per the June dot plot, the minutes' tone will be critical for market direction. Hawkish confirmation could reverse recent risk-on sentiment, likely signaled first by a pullback in high-volatility assets like Bitcoin and Ethereum, which significantly outperformed last week. Other events include SK Hynix's large U.S. ADR listing and the start of the Q2 earnings season with reports from PepsiCo and Delta Air Lines. The market's path hinges on whether the liquidity and optimism built during the holiday can withstand the combined tests of Fed policy, trade tensions, and major corporate events.

marsbit07/06 01:34

U.S. Stock Market Trend (July 6th): Gold and Crypto Lead Rebound Ahead of Stocks, Fed Minutes Set Weekly Direction

marsbit07/06 01:34

Meta Joins the 'Selling Shovels' Game, Zuckerberg: 'Models Can Be Slow, but GPUs Must Earn'

Meta pivots to selling AI infrastructure as internal model development lags. Facing setbacks like Gemini usage restrictions and slower-than-expected progress on its own AI agents, the company is reportedly launching "Meta Compute." This service would rent out its massive GPU capacity and data center resources—projected to reach over 10GW—to external clients. The move mirrors SpaceX's "neocloud" model, offering high-margin, flexible compute contracts. Meta also plans to host third-party models like Anthropic's Claude, creating a platform similar to Amazon Bedrock. This strategy provides immediate revenue while its in-house models (like the upcoming "Watermelon") continue development. Wall Street reacted positively, seeing it as a way to monetize heavy AI investments even if Meta's models aren't yet industry-leading.

marsbit07/06 01:19

Meta Joins the 'Selling Shovels' Game, Zuckerberg: 'Models Can Be Slow, but GPUs Must Earn'

marsbit07/06 01:19

World's Largest Data Center Project Scrapped

Blackstone Abandons Plans for World's Largest Data Center, Signaling Wider AI Infrastructure Headwinds Blackstone has halted construction of its massive "Digital Gateway" data center campus in Virginia, which was planned to be the world's largest. The project's cancellation follows a five-year battle with local residents concerned about historical preservation, environmental impact, and strain on local resources. A procedural error in the zoning approval process ultimately led a state court to invalidate the project's permits. This move comes shortly after Blackstone sold other mature data center assets, suggesting a strategic pivot by the asset management giant. Industry analysts see this as a potential sign of "peak" investment enthusiasm, mirroring Blackstone's past exits from overheated sectors like office real estate. The cancellation highlights significant bottlenecks facing the AI-driven data center boom across the U.S. Key challenges include severe power grid constraints, with data centers' electricity demand projected to triple nationally by 2035, and mounting grassroots opposition. A report notes over $130 billion worth of U.S. data center projects were delayed in Q1 2026 alone, primarily due to power shortages and community resistance. Local and state governments are also beginning to implement stricter regulations, including new taxes and moratoriums on construction. Blackstone's exit underscores that the breakneck expansion of AI infrastructure is colliding with practical limits, from physical resource caps to social license, forcing a more realistic assessment of costs and feasibility.

marsbit07/06 01:07

World's Largest Data Center Project Scrapped

marsbit07/06 01:07

OpenAI Proposes Transferring 5% Equity to the U.S. Government

OpenAI has reportedly proposed to sell 5% of its equity to the U.S. government, a stake valued at over $40 billion based on its $852 billion valuation. According to the Financial Times, CEO Sam Altman has engaged in preliminary discussions with senior officials, including the Commerce and Treasury Secretaries, framing public ownership as a way for Americans to share in AI's economic benefits. The proposal includes a broader vision where other major U.S. AI companies like Anthropic, Google, and Meta would contribute a similar percentage of their equity to a public investment vehicle, modeled on the Alaska Permanent Fund, to distribute dividends to citizens. However, there is no indication of interest from these rivals. This move is seen as an attempt to navigate increasing regulatory pressure and scrutiny over AI safety and societal impact. It contrasts with more radical proposals, such as one from Senator Bernie Sanders advocating for up to 50% public ownership. While the discussions are conceptual and would likely require congressional action, they signify a strategic shift: OpenAI is offering a financial stake to align government interests and potentially secure a more stable regulatory relationship ahead of a possible future IPO. The outcome could reshape how AGI development is governed and who benefits from its profits.

marsbit07/06 01:05

OpenAI Proposes Transferring 5% Equity to the U.S. Government

marsbit07/06 01:05

One Megawatt Sustains 60,000 Agents, NVIDIA GB300 Crushes Previous Generation by 20x

NVIDIA's latest GB300 NVL72 system achieves a 20x improvement in AI agent throughput per megawatt compared to its predecessor, the H200, according to a new industry benchmark called AA-AgentPerf. Where the H200 could handle roughly 2,600 concurrent agents per megawatt, the GB300 NVL72 can support approximately 61,400. The significance lies less in raw chip performance and more in the new benchmark itself. AA-AgentPerf, created by the independent firm Artificial Analysis, is the first benchmark designed specifically for "AI agent" workloads. Traditional benchmarks measure single, fixed-length requests, but AI agents operate in long, complex chains involving dozens of model calls, tool use, and ever-growing context. These create unique system pressures that older tests cannot capture. AA-AgentPerf replays real programming agent trajectories with lengthy sessions and varying input lengths. Its key metric is "agents per megawatt," measured under strict Service Level Objectives (SLOs) that guarantee a minimum token output speed per agent. It also allows real-world optimizations like KV cache reuse and speculative decoding, which older benchmarks often disable. The results highlight two key trends: rack-scale systems like the 72-GPU GB300 NVL72 are inherently more efficient than single nodes, and the architectural leap from Hopper to Blackwell (H200 to GB300) represents a systemic, not just incremental, performance gain. The GB300's advantage stems from its high-bandwidth NVLink fabric connecting all GPUs, allowing large MiE models to be efficiently distributed and parallelized. Important caveats include that the 61,400 figure represents simulated concurrent sessions, not independently running full models, and that benchmark results are a snapshot that will improve with software optimization. AA-AgentPerf is a new standard whose industry adoption remains to be seen.

marsbit07/06 01:03

One Megawatt Sustains 60,000 Agents, NVIDIA GB300 Crushes Previous Generation by 20x

marsbit07/06 01:03

Solana Says External Assets Need More Than A Bridge To Build Real Markets

Solana argues that merely bridging external assets to its network is insufficient for building real markets. The key challenge is ensuring these assets arrive into a ready ecosystem with deep liquidity, efficient routing, and integrated DeFi applications from day one. Projects like Sunrise are positioned as orchestration layers to coordinate this onboarding. This focus on market formation over simple token transfer is central to Solana's broader push to become a hub for capital markets and tokenized assets, where liquidity quality and seamless integration are as critical as network speed.

bitcoinist07/06 00:56

Solana Says External Assets Need More Than A Bridge To Build Real Markets

bitcoinist07/06 00:56

Anthropic Creates an AI Jailbreak 'Penal Code': Your Requests, Four Ways to Die

Anthropic has publicly detailed its security measures and a new "Cyber Jailbreak Severity" (CJS) framework following the controversial takedown of its Fable 5 model. The incident, triggered by simple user requests like counting letters or stating a profession, highlighted overzealous safety filters. Anthropic classifies cybersecurity-related prompts into four tiers: malicious activities (blocked), high-risk dual-use (like pentesting, with strict limits), low-risk dual-use (often blocked by "safety margin" errors), and harmless tasks (theoretically allowed but still frequently flagged). The company admits its classifiers are tuned for high sensitivity, leading to many false positives. The newly proposed CJS framework aims to objectively score the severity of AI "jailbreaks" (prompts that bypass safety rules) on a 0-10 scale across four dimensions: Capability Gain (does it grant new attack abilities?), Breadth (does it work across multiple attack types?), Weaponization Ease (how hard is it to turn into a real attack?), and Discoverability (how easy is it to find?). The score determines the response, from no action (CJS-0) to a potential model takedown (CJS-4). The score is context-dependent; for example, discovering a major unknown vulnerability today scores high, while asking about a well-known one scores low. The article raises concerns about Anthropic's dual role: it is both creating powerful models (like the restricted Mythos 5) and defining the rules (CJS) for judging their misuse, potentially giving it disproportionate influence. This is set against the backdrop of U.S. export controls, which for the first time directly restricted API access to a model (Fable 5), creating a "tiered" system where public models are heavily filtered and advanced ones are limited to vetted partners. The CJS framework is portrayed as potentially providing regulators with a metric to justify future API shutdowns. For users, the advice is to carefully phrase prompts, watch for signs of being downgraded to a weaker model, and wait indefinitely for promised filter improvements.

marsbit07/06 00:24

Anthropic Creates an AI Jailbreak 'Penal Code': Your Requests, Four Ways to Die

marsbit07/06 00:24

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