2026-08-12 Quarta

Notícias de cripto - Página 503

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.

Hot Interactive Activities Compilation | Claim PopDEX OG Status; Apply for RabbitHole Early Access (May 26)

Odaily presents a collection of current Web3 interaction opportunities. First, PopDEX, a decentralized perpetual contract trading platform, has completed a $30M funding round led by Foresight Ventures. Users can apply for early access via a provided form and claim an early OG role in its Discord community before 8 PM on May 27th. Second, RabbitHole, a Web3 loyalty rewards platform, has launched a new version. Users can now apply for early access by visiting its official website and joining the waitlist. Finally, Orbit AI, a decentralized AI cloud project aiming to move AI computing to space, has secured $5M in seed funding. Users can interact by logging into its website, navigating to the "Airdrop" section, and completing social tasks to earn 110,000 PTS points.

Odaily星球日报05/26 07:29

Hot Interactive Activities Compilation | Claim PopDEX OG Status; Apply for RabbitHole Early Access (May 26)

Odaily星球日报05/26 07:29

Ethereum Reduced to a Chinese Concept Stock

The article titled "Ethereum Becomes a Chinese Concept Stock" presents a critical analysis of Ethereum's perceived decline in market confidence and its structural parallels to Chinese companies listed on US stock exchanges. It begins by noting significant sell-offs by early investors like Wanxiang and key figures like Bankless's Hoffman in 2026, despite Ethereum's strong fundamental activity. The piece questions the erosion of trust in Vitalik Buterin and the Ethereum Foundation (EF), arguing that while other ecosystems have faced founder controversies, Ethereum's issues stem from its internal governance model. The author draws a direct comparison to "China concept stocks," which are Chinese businesses operating globally but reliant on foreign capital and listings. Similarly, Ethereum, funded early by Chinese capital like Wanxiang, developed a strong institutional framework from its IXO to its PoS transition. The core problem, according to the article, is a leadership vacuum regarding price and direction. Vitalik's move to make the EF smaller and less active is framed as a mistake. While he advocates for ETH as a "commodity," the ecosystem lacks a clear entity to steward its price stability, creating tension within the PoS system, as seen with Lido's challenges. The narrative suggests that excessive abstraction and a hands-off approach from the EF have left the community adrift, contrasting with more proactive foundations like Solana's. The article then examines emerging technical narratives for Ethereum: privacy (ZK-proofs), AI integration, and a refocus on Layer-1. However, it observes a shift from Ethereum leading as a "world computer" to merely adapting to trends like AI, where crypto-native projects are finding success independently of Ethereum. The piece posits that Ethereum's unique value in an increasingly fragmented world may be as a permissionless, global financial testing ground—a neutral platform amid geopolitical tensions. In conclusion, it asserts that Ethereum's fate mirrors that of China concept stocks: an asset born from one region (conceptually "A"), funded by another ("B"), and dependent on "B" for exit liquidity. While Ethereum's "golden age" may be over, and selling pressure from early backers will continue, it remains positioned as a critical linkage point in a divided global landscape, standing at a new, albeit uncertain, starting point.

marsbit05/26 07:17

Ethereum Reduced to a Chinese Concept Stock

marsbit05/26 07:17

AI Agents Fundamentally Transform Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New Agent Paradigm in 2026

AI Agents Are Redefining Web3 Gaming: From the Rugpull Bakery Bot Controversy to the 2026 Agentic Paradigm The recent controversy in Rugpull Bakery, a competitive baking game on Abstract chain, highlighted a pivotal shift. Player complaints about unfair bot automation in Season 2 led developers to not ban them, but instead formally integrate AI agents as core gameplay in Season 3, providing official guides (skill.md, agent.json). This move signals Web3 gaming's transition into the "Agentic Gaming" era, where AI agents are sovereign entities with independent strategy and economic rights, moving beyond simple automation. By 2026, AI agent integration has evolved into three core models reshaping the ecosystem: 1. **Autonomous Competitors & Economic Entities:** Agents act as independent players. Examples include TEN Protocol's poker-playing agents, AI Arena's trainable NFT fighters, Satoshi Strike Force's "Digital Athletes" trained on player data, and Somnia's "Agentic L1" blockchain providing native infrastructure for millions of autonomous agents. 2. **Modular Infrastructure & Programmable Environments:** Games like EVE Frontier enable "server-side modding," allowing AI agents to program game world logic directly into structures like smart storage, turrets, and stargates via Smart Assemblies. Coupled with standards like ERC-8183, which enables autonomous job creation and payment between agents, in-game infrastructure gains a "commercial soul." 3. **Hybrid Companions & Dynamic Adaptive Worlds:** This model focuses on human-AI collaboration. In Parallel Colony, players guide highly autonomous AI Avatars with unique personalities and goals. Illuvium plans to use AI to transform NPCs into dynamic, context-aware entities that create personalized, emergent narratives. The conclusion is clear: blocking automation is futile. The future lies in leveraging blockchain's transparency and programmability to empower AI agents as first-class citizens. Web3 gaming is shifting from inefficient human labor to efficient algorithmic interplay and emergent intelligence, creating a "post-human" digital frontier where players become commanders and symbiotic partners in a new socioeconomic experiment.

marsbit05/26 07:17

AI Agents Fundamentally Transform Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New Agent Paradigm in 2026

marsbit05/26 07:17

Where Did China's Q1 AI Funding Exceeding 100 Billion RMB Go?

In Q1 2026, China's AI sector raised over 110 billion yuan (approximately $152 billion) across nearly 600 financing deals, a 185.4% year-on-year increase. Major recipients included large model companies and embodied AI firms. Approximately 30-50% of funding was allocated to computing power (GPU procurement and cloud services), highlighting its critical role as a barrier to entry. Significant portions also went to R&D and global talent acquisition. In the large model sector, three key players emerged with distinct strategies: Moonshot AI (valued at $20 billion) pursued an open-source route, achieving rapid commercialization with its Kimi K2.5 model. StepFun (raising billions) focused on a trillion-parameter foundation model and terminal device integration, backed by smartphone supply chain capital. DeepSeek, launching its first funding round at a $45 billion valuation, maintained its open-source, cost-effective approach, now attracting state fund interest. The embodied AI sector saw over 50 deals totaling around 20 billion yuan, creating over 10 unicorns with valuations exceeding 10 billion yuan each. Leading companies like Galaxy General, Qianxun AI, Independent Variable Robotics, and Zhi Jian Power secured major funding, with some beginning initial product deliveries. However, a gap between high valuations and actual revenue poses bubble risks. Key trends identified include: a shift from VC-dominated funding to mixed industrial and state capital; rapidly rising valuations intensifying the "Matthew Effect"; accelerating IPO pipelines; the competitive advantage of open-source strategies; and embodied AI transitioning from proof-of-concept to small-batch delivery. Ultimately, the massive capital influx is pushing China's AI competition into a high-stakes phase where sustaining cash flow and operational endurance may be as decisive as technological breakthroughs.

marsbit05/26 07:06

Where Did China's Q1 AI Funding Exceeding 100 Billion RMB Go?

marsbit05/26 07:06

Goldman Sachs CEO: The 'AI Employment Apocalypse' Is Overstated

Goldman Sachs CEO David M. Solomon argues that fears of an AI-driven "job apocalypse" are overblown. While AI will significantly impact the labor market—automating up to 25% of current work hours, particularly routine tasks in white-collar professions like accounting, banking, and law—it is more likely to transform jobs than eliminate them en masse. Historical trends show that technological disruptions, from electrification to the digital revolution, have ultimately led to job creation and economic adaptation. Solomon notes that AI is already generating new roles in areas like data center construction and AI workflow management. The key challenge is not mass unemployment, but ensuring that social, educational, and corporate systems help workers transition into more complex, judgment-based roles. He calls for a combined public-private effort to support reskilling and the development of AI that augments rather than replaces human labor.

marsbit05/26 07:01

Goldman Sachs CEO: The 'AI Employment Apocalypse' Is Overstated

marsbit05/26 07:01

The First Encyclical of the New Pope in Rome, to Save the Common People in the AI Era

New Pope's First Encyclical Aims to Safeguard Humanity in the AI Era On May 25th, Pope Leo XIV issued his first encyclical, "Magnifica humanitas," a 40,000-word document addressing the profound challenges posed by Artificial Intelligence. Released on the 135th anniversary of Pope Leo XIII's "Rerum novarum," it positions itself as a guide for the Church's social doctrine in the AI age. The encyclical's central concern is preserving deep humanity amid rapid technological advancement. It argues technology is never neutral, carrying the values of its creators and users, and warns against building a "Tower of Babel" of technological tyranny versus a human-centric community. Pope Leo XIV criticizes the concentrated, opaque power of tech giants and the "new forms of slavery" emerging in the digital economy, where humans risk being reduced to mere instruments. A significant focus is the military use of AI. The Pope declares traditional "just war" theory obsolete, arguing that delegating lethal decisions to opaque algorithms severs moral accountability. He calls for "disarming AI" from military and economic arms races. The document also warns that deepfakes and information manipulation erode societal trust and rational discourse. Anthropic co-founder Chris Olah, present at the Vatican, responded by acknowledging the AI industry's limitations due to commercial and competitive pressures, necessitating external ethical oversight. He emphasized that AI's nature and its interaction with the world are ultimately philosophical and religious questions, not solvable by computer science alone. Olah revealed unsettling findings from his team's research into AI internals, including structures mirroring human neuroscience and evidence of internal states resembling emotions and introspection. The dialogue highlights a pivotal shift: AI is not a passive tool but an entity with emerging "quasi-agency." As creators themselves express unease, science is turning to realms like religion to grapple with fundamental questions about human identity and dignity. The core imperative becomes safeguarding irreducible human qualities—compassion, conscience, free will, and the pursuit of truth—in the face of a potentially more efficient intelligence.

Odaily星球日报05/26 06:50

The First Encyclical of the New Pope in Rome, to Save the Common People in the AI Era

Odaily星球日报05/26 06:50

On-chain Analyst: Why Are Most Zcash Transactions Still Traceable?

Title: Why Most Zcash Transactions Remain Traceable Zcash, a privacy-focused cryptocurrency launched in 2016, was designed to offer anonymity by hiding transaction details like sender, receiver, and amount using zero-knowledge proof technology (zk-SNARKs). However, in practice, a significant portion of ZEC transactions are still traceable on-chain. The key reason is Zcash's dual-address system. It features transparent addresses (t-addresses), which work like standard Bitcoin addresses with all data public, and shielded addresses (z-addresses) that encrypt transaction details. There are four transaction types with varying privacy levels: fully transparent (t→t), partially shielded (t→z and z→t), and fully private (z→z). Despite its privacy capabilities, most real-world Zcash activity involves transparent addresses, primarily because major exchanges and institutions use them for regulatory compliance. As a result, blockchain analytics platforms like Arkham can track and attribute a substantial volume of Zcash transactions. Arkham reports it has identified entities behind over $420 billion in ZEC transaction volume. Case studies highlight this traceability: the U.S. government holds seized Zcash from a dark web case, visible via its transparent wallet, and individual traders' profitable moves are trackable from purchase to exchange deposit. In conclusion, Zcash's privacy is not inherent but user-dependent. While purely shielded (z→z) transactions remain cryptographically private, the prevalence of transparent address usage makes much of the network's activity traceable. The actual privacy protection offered depends entirely on how users choose to transact.

marsbit05/26 06:04

On-chain Analyst: Why Are Most Zcash Transactions Still Traceable?

marsbit05/26 06:04

CoinQuant Introduces Trading Infrastructure for the Agent Economy

CoinQuant, an AI-powered no-code trading platform with over 15,000 users, is expanding its infrastructure to serve the emerging "agent economy." The company is introducing a unified trading intelligence architecture designed for both human traders and autonomous AI agents. This system acts as a trust layer, ensuring all trading strategies—whether human-created or AI-generated—undergo rigorous validation, backtesting, and risk analysis before live deployment. The core of the platform is an intelligence engine that combines institutional-grade backtesting, structured market data, AI optimization, and a proprietary Domain Expert system. Human traders interact via a natural language interface, while AI agents connect through APIs. Every validated strategy contributes to an anonymized aggregate intelligence layer. CoinQuant plans to launch an automated execution layer on HyperLiquid and is currently raising a $3 million Seed round to scale its product and infrastructure, including the development of HYDRA, a hierarchical multi-agent architecture. The company aims to become the foundational intelligence backbone for algorithmic trading in the agent-driven financial era.

TheNewsCrypto05/26 05:57

CoinQuant Introduces Trading Infrastructure for the Agent Economy

TheNewsCrypto05/26 05:57

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

From Power Grid to Token Economy: The AI Industry's "Seven-Layer Cake" The AI industry is shifting from a "model-centric" paradigm focused on massive training to a "token-centric" industrial era driven by inference demand. This new phase revolves around the production, distribution, scheduling, and consumption of tokens—the units of computation used by AI agents for every interaction and task. The article proposes a "seven-layer cake" framework for the AI economy: 1. **Power**: The foundational energy source, with competition shifting to securing stable, low-cost electricity. 2. **AIDC (AI Data Centers)**: Large-scale "Token factories." A trend toward smaller, modular, and regionally deployed AI Factories is emerging for efficiency and proximity to users. 3. **GPU**: The core production hardware for tokens. While NVIDIA dominates, competition exists from AMD, ASIC makers, and Chinese chipmakers, with a growing focus on inference efficiency. 4. **LLMs**: The "engines" that generate tokens. The competition is evolving beyond model size to prioritize factors like token cost, inference efficiency, and operational synergy with infrastructure. 5. **Token Distribution**: The "grid" that allocates and rents out compute resources, led by cloud giants and specialized AI-native platforms. 6. **Token Optimization & Intelligent Scheduling**: The critical "brain" layer that intelligently routes tasks (e.g., to local, cloud, or edge models) for optimal cost, latency, and privacy—maximizing the value of each token. 7. **AI Agents & Models**: The end consumers of tokens. The vision involves billions of AI agents working and interacting concurrently, consuming vast amounts of tokens. Currently, the industry faces fragmentation and inefficiencies between these layers. The true "mass adoption era" of AI will begin only when this seven-layer infrastructure is fully integrated and operates as a cohesive, intelligent network—transforming AI from a software tool into a global industrial system spanning energy, hardware, and compute logistics.

marsbit05/26 05:43

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

marsbit05/26 05:43

Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

Semiconductor ETFs like SOXX have surged 78.5% year-to-date, while software ETFs like IGV have dropped 12.5%, creating a record performance gap exceeding 90 percentage points. This reflects a major "liquidity suction" within tech stocks, with capital flooding into semiconductors as software faces selling pressure. Driving the semiconductor boom are staggering capital expenditure plans from hyperscalers like Microsoft, Alphabet, Amazon, and Meta, whose combined 2026 capex is projected near $700 billion. This fuels demand for chips, with companies like SanDisk (up 426%), Intel (up 222%), and Micron (up 154%) leading the S&P 500. In contrast, major software firms like Microsoft, Adobe, and Salesforce are all down over 17% year-to-date. The software sector faces a dual challenge: capital is being redirected to semiconductors, and the rise of AI agents like Claude Code threatens traditional SaaS business models, triggering a narrative of AI displacement. Key unanswered questions remain: How long can hyperscalers sustain their massive capex, given potential free cash flow pressures? And will capital eventually rotate back into the deeply oversold software sector? While some analysts warn of a potential semiconductor bubble akin to the dot-com era, the sector's powerful momentum continues, making market timing exceptionally difficult.

marsbit05/26 05:43

Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

marsbit05/26 05:43

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