2026-08-03 Segunda

Notícias de cripto - Página 135

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.

Founder of Real Vision: We Are Living in the Era of Exponential Growth

Real Vision founder Raoul Pal argues that humanity is now in an "Age of Exponential Growth," a reality the human brain's linear intuition struggles to comprehend. The core drivers are the convergence of multiple, mutually-reinforcing technological curves: Artificial Intelligence, robotics, solar & storage, biotechnology, and blockchain networks. He notes that while his 2021 analysis correctly identified fiat currency debasement and assets like Bitcoin as inflation hedges, he underestimated the scale of change. Beyond monetary liquidity, a more profound force is at work: these key technologies have moved from theoretical promise into simultaneous, accelerating commercialization. They are no longer growing in parallel but are fusing, creating a "double exponential" growth curve. AI and robotics create an "artificial labor supply," breaking the cycle of debt-driven growth needed to offset aging demographics. Energy, particularly solar power guided by Wright's Law, is seeing collapsing costs, removing a key bottleneck for compute-hungry AI. Cryptocurrencies are evolving from monetary assets into the essential, programmable settlement layer for transactions between future AI agents. This fusion creates a feedback loop: AI optimizes energy grids, cheaper energy powers more compute, which builds better AI, and crypto networks settle the transactions. This leads to "Reed's Law" playing out at scale, where intelligent nodes (AI agents) form and re-form groups at machine speed, creating network value that grows at 2^n. Pal concludes that the critical question is no longer how to protect jobs from machines, but how to own a share of the machines and their foundational infrastructure. He sees the 2030-2032 period as a potential "Economic Singularity" where these trends fully merge, fundamentally transforming the economy. The data, he asserts, shows this is not a bubble but an observable, quantifiable new era.

Foresight News07/15 09:37

Founder of Real Vision: We Are Living in the Era of Exponential Growth

Foresight News07/15 09:37

Golden Age VS Crisis Era? Bank of Korea Set to Hike Rates, Brokerage Margin Requirements May Increase 5-Fold

South Korea's financial authorities are taking coordinated action to cool an overheated and volatile stock market. The Bank of Korea is widely expected to raise its benchmark interest rate by 25 basis points to 2.75% on Thursday, which would be its first hike in approximately three and a half years since January 2023. Analysts predict further increases, potentially bringing the rate to 3.00% by year-end. This move aims to tighten market liquidity, raising costs for leveraged investments. Concurrently, major Korean brokerages have agreed to raise the minimum investment requirement for single-stock leveraged ETFs fivefold, from 10 million won to 50 million won, to curb excessive retail speculation. This follows extreme market swings focused on major chip stocks like Samsung Electronics and SK Hynix, which together account for nearly half of the KOSPI index's weight. The index itself has seen a dramatic 204% surge from its recent low. President Yoon Suk Yeol acknowledged market instability and urged regulators to address risks from leveraged products. Meanwhile, financial watchdogs are imposing new limits on stock-backed loans to individual investors to prevent bubble formation. These measures come as foreign investors have been massive net sellers this year, offloading a record $110 billion in assets, while domestic retail investors, using significant leverage, have been the primary buyers, absorbing the sales pressure. The government's multi-pronged strategy seeks to stabilize the market by restricting leverage, raising barriers, and tightening monetary policy.

Odaily星球日报07/15 09:28

Golden Age VS Crisis Era? Bank of Korea Set to Hike Rates, Brokerage Margin Requirements May Increase 5-Fold

Odaily星球日报07/15 09:28

From Being Ignored to the Venture Capital Queen Investing: Has AI Revived This Ultra-Niche Sector?

From obscurity to receiving investment from the "queen of venture capital," AI has revitalized the ultra-niche social networking track. In recent years, the social networking sector experienced a deep freeze in venture capital, with high-profile projects like the video social app "Huayin" (founded by a former WeChat core team member) and the offline-online dating app "Single's Tavern" ultimately failing. These failures underscored the immense difficulty of challenging WeChat's dominance in熟人社交 (close-contact social networking) and the general lack of scalable monetization paths for niche concepts like metaverse, female-only, or Muslim community apps. However, a shift emerged in 2025. "Liangpei," an AI-powered matchmaking company, secured a $2 million angel round from Today Capital, led by renowned investor Xu Xin. Its approach uses AI conversational profiling to create detailed user matches and charges only upon successful connections. Similarly, projects like "Pixel Rhythm" (reportedly focused on AI-assisted content creation for Gen Z overseas) and "Moobius" (AI-native group chat) signal a new trend. The investment logic has fundamentally changed. Instead of pursuing broad, traffic-driven "platform dreams" to compete with giants like WeChat, Douyin, or Soul, the new wave focuses on using AI as a tool to solve specific, high-pain-point problems for targeted, niche user segments. The path to viability now lies in achieving healthy cash flow by solving a concrete problem rather than chasing massive scale.

marsbit07/15 08:41

From Being Ignored to the Venture Capital Queen Investing: Has AI Revived This Ultra-Niche Sector?

marsbit07/15 08:41

From TrueFi to Elara: Why the Next Stop for On-Chain Finance is Liquidity Infrastructure?

From TrueFi to Elara: Why On-Chain Finance's Next Stage is Liquidity Infrastructure? The article analyzes the evolving focus in decentralized finance, shifting from narrative-driven expansion to robust, operationally sound infrastructure. The author, drawing from experience at TrueFi and building Elara, argues that early DeFi incorrectly assumed technological superiority alone would force adoption. Instead, financial systems evolve through workflow compatibility. Traditional finance prioritizes stability and predictability, creating intentional "viscosity" (friction) through controls, which slows execution but ensures durability. Crypto-native systems minimized friction for rapid experimentation and iteration but often lacked operational safeguards, leading to reflexive liquidity that can disintegrate under stress. The core insight is that sustainable on-chain finance cannot rely solely on isolated products like RWA lending or token incentives. The real opportunity lies in a coordinated financial architecture for liquidity management, collateral coordination, and capital deployment. Elara is presented as an example of this next-generation "programmable treasury infrastructure"—a yield-bearing, dollar-pegged collateral asset designed for capital efficiency and operational flexibility within fragmented digital markets. A key architectural decision separates liquidity from yield generation, allowing the collateral to remain liquid and programmable while accruing value. The funding environment has also shifted. Investors now prioritize operational proof—working systems, integrations, and controls—over visionary narratives. Competitive advantage comes from building systems that endure under real market conditions, not just launching quickly. Ultimately, the path forward is not a sudden replacement of traditional finance but a selective hybridization. Lasting infrastructure will combine the iterative speed of digital assets with the control architecture of traditional finance. Systems like Elara are built to operate efficiently in today's low-viscosity crypto markets while embedding the operational discipline—compliance, reporting, risk management—required to eventually support institutional capital as it gradually integrates with on-chain settlement rails. The focus is not on who launches first, but on who can build infrastructure capable of managing both high-speed digital-native liquidity and the slower, more deliberate flow of institutional capital.

marsbit07/15 08:32

From TrueFi to Elara: Why the Next Stop for On-Chain Finance is Liquidity Infrastructure?

marsbit07/15 08:32

Understanding the Q2 Crypto Market in 5 Charts: RWA Explosion, Fundamentals Continue to Recover

Summary of Q2 Crypto Market: RWA Boom and Continued Fundamental Recovery The second quarter of 2026 presented a mixed picture for the crypto market. While major crypto asset prices declined by 36% in H1 2026, the fundamentals of the industry showed significant strength. Key highlights from Bitwise's market review include: 1. **Divergence Between Crypto Stocks and Tokens:** Crypto-related public equities, tracked by the Bitwise Crypto Innovators 30 Index, rose 23% in H1, outperforming most major asset classes. This signals robust investment opportunities within the crypto ecosystem, such as Bitcoin miners benefiting from AI and traditional finance firms deepening crypto integration, even during a bear market for tokens. 2. **Substantial Crypto Application Revenue:** Leading decentralized applications generated a combined $5.9 billion in revenue over the past 12 months, with top protocols like PancakeSwap, Hyperliquid, and Aave each nearing $1 billion. This demonstrates the existence of real, revenue-generating businesses within the sector. 3. **Breakout Growth in Real-World Asset (RWA) Tokenization:** The total value of tokenized real-world assets reached a record $33 billion in Q2, up 12% quarterly and 45% year-to-date. Growth is driven by tokenized U.S. Treasuries, corporate credit, equities, and venture capital shares, indicating accelerating institutional adoption. 4. **Expanding Prediction Markets:** Prediction market open interest hit a new high of $1.8 billion in Q2, with sports being a key category. Quarterly trading volume also reached a record $43 billion. Platforms like Polymarket represent a form of mainstream, albeit often unaware, adoption of crypto infrastructure for event betting, with further growth expected around the U.S. midterm elections. 5. **Attractive Profile of Crypto Equities:** The Bitwise Crypto Innovators 30 Index exhibited low 90-day rolling correlations with most major assets (developed market stocks, EM stocks, REITs, bonds, gold) and negative correlation with commodities. This combination of high returns and portfolio diversification is highly attractive to institutional investors. In conclusion, despite weak token prices, core industry fundamentals—including user activity, business revenues, and institutional adoption—continue to advance, building a strong foundation for the next market cycle.

Foresight News07/15 08:03

Understanding the Q2 Crypto Market in 5 Charts: RWA Explosion, Fundamentals Continue to Recover

Foresight News07/15 08:03

GPT-5.6 Cracks a 50-Year-Old Math Problem in 1 Hour, 64 AIs Claim the Crown Jewel of Graph Theory

OpenAI announced that its AI model, GPT-5.6 Sol Ultra, has successfully proved the 50-year-old Cycle Double Cover (CDC) conjecture in graph theory in under an hour. This long-standing problem, posed independently by several prominent mathematicians, states that every bridgeless finite undirected graph contains a set of cycles where each edge is covered exactly twice. The breakthrough was achieved using a novel "parallel test-time computation" (TTC) approach. Instead of a single AI working sequentially, the system deployed 64 concurrent AI agents, each exploring distinct proof strategies—from algebraic perspectives to structural induction. The process included strict protocols to avoid common research pitfalls: initial exploration of fundamentally different paths, preventing herd mentality by not revealing the most promising direction, and employing a "critic squad" of agents to rigorously attack and verify every proposed proof step. The system forbade vague assertions, demanding concrete lemmas and constructions. The resulting proof, generated by GPT-5.6 and formatted with Codex, employed a sophisticated multi-step strategy. It first reduced the general case to cubic graphs, then leveraged Tutte's group-flow theorem to establish the existence of a nowhere-zero 8-flow on the graph. A key inventive step was introducing a "two-element set" labeling scheme (Lemma 2.1), which, if satisfied, guarantees a cycle double cover. The AI then transformed this combinatorial condition into a large system of linear equations (Lemma 2.2), using linear algebra over finite fields to conclusively demonstrate that a solution always exists. Researchers highlighted that parallel TTC dramatically compressed the reasoning time, making deep, extended AI problem-solving practically feasible. While some observers marveled at the implications for mathematics and science, others questioned whether parallel breadth can fully substitute for deep, continuous logical chains. Nonetheless, this achievement marks a significant advance in AI's autonomous capacity for high-level abstract reasoning and complex proof generation.

marsbit07/15 07:57

GPT-5.6 Cracks a 50-Year-Old Math Problem in 1 Hour, 64 AIs Claim the Crown Jewel of Graph Theory

marsbit07/15 07:57

Prompt Engineering Paper Accepted at ICML 2026 Sparks Heated Debate Among Netizens

A paper on prompt engineering, titled "Verbalized Sampling (VS)," has been accepted by the prestigious machine learning conference ICML 2026, sparking significant debate online. The paper addresses the problem of "mode collapse" in large language models (LLMs), where models tend to produce repetitive, safe, and homogeneous outputs. Instead of proposing new training algorithms or model architectures, the authors introduce a simple yet effective prompt-based method. The core technique, Verbalized Sampling, instructs the model to generate multiple responses (e.g., five jokes) while also outputting a possible probability value for each. This prompt adjustment alone was shown to significantly increase output diversity by 1.6x to 2.1x in creative writing tasks, without compromising factual accuracy or safety. The authors argue that the root cause of mode collapse lies not in optimization algorithms but in the "typicality bias" present in human preference data used for alignment. Human annotators naturally favor familiar and fluent text, which steers models toward conservative outputs. The VS method aims to counteract this by leveraging the model's inherent pre-training distribution during inference. The paper's acceptance has led to polarized reactions. Critics argue that prompt engineering lacks the theoretical depth and algorithmic innovation expected from top-tier conferences like ICML, questioning its novelty, generalizability across models, and experimental scale. Some draw parallels to reproducibility crises in other fields, citing a potential over-reliance on empirical results. Supporters, including an author who responded online, defend the work's rigor. They emphasize its comprehensive problem analysis, theoretical grounding, mathematical derivation, and extensive quantitative experiments. Proponents compare VS to seminal techniques like Chain-of-Thought (CoT) prompting, suggesting that inference-stage methods are becoming a core part of ML research capable of expanding model capabilities without retraining. The research was conducted by a team from Northeastern University, Stanford University, and West Virginia University, with Jiayi Zhang, Simon Yu, and Derek Chong as co-first authors.

marsbit07/15 07:56

Prompt Engineering Paper Accepted at ICML 2026 Sparks Heated Debate Among Netizens

marsbit07/15 07:56

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