Новостной центр - Страница 289

‘Customers are awake’- Eric Trump slams banks over stablecoin yield opposition

Eric Trump, son of former U.S. President Donald Trump, has criticized banks for their strong opposition to stablecoin yields, calling it "anti-retail, anti-consumer, and anti-American." He claims banks are fighting crypto platforms that offer 4–5%+ yields, but are losing as customers become aware. Tensions between banks and crypto have escalated, threatening the CLARITY Act. Recently, Kraken became the first crypto firm to gain access to the Fed’s payment rails, a move opposed by banks citing financial risks. President Trump also warned banks against undermining his crypto agenda. The rift risks stalling the crypto bill, with prediction markets showing a 71% chance of the CLARITY Act passing in 2026, down from 78%.

ambcrypto03/05 10:03

Kraken Becomes First Crypto Firm To Gain Access To Federal Reserve’s Master Accounts – Report

Kraken, the second-largest US crypto exchange, has become the first cryptocurrency firm to gain a Federal Reserve master account through its banking arm, Kraken Financial. This approval, granted by the Kansas City Fed, provides limited access to core payment systems like Fedwire, enabling faster and more efficient fiat currency transfers for clients. While seen as a major industry milestone, the approval has drawn opposition from traditional banks, which argue that granting crypto firms access to the Fed’s payment infrastructure could threaten financial stability. The account is approved for an initial one-year term.

bitcoinist03/05 10:02

Farewell to Brute Force Computing: Reconstructing the Valuation Logic of AI for Science through HKUST's "GrainBot"

In 2026, Hong Kong's AI sector is rapidly transitioning from infrastructure development to deep application deployment. A key example is GrainBot, an AI tool developed by a team led by Prof. Guo Yike at HKUST, which represents a significant shift from general-purpose AI to specialized scientific discovery. GrainBot addresses critical challenges in materials science, particularly in analyzing microstructures like grain boundaries in materials used in semiconductors, batteries, and solar panels. Traditionally, this required manual, time-consuming, and error-prone analysis of microscopy images. GrainBot automates this process using computer vision and deep learning to accurately identify, segment grains, and quantify geometric features. It also correlates microstructural data with macro-material properties, as demonstrated in its application to perovskite solar cell research. This breakthrough highlights a broader trend in AI for Science (AI4S), where value is measured not by user metrics but by accelerated R&D cycles and novel discoveries. GrainBot’s potential to drastically shorten development timelines or uncover new materials with superior properties underscores a new valuation logic centered on industrial intellectual property. Hong Kong’s strength in combining domain expertise (e.g., materials science, chemistry) with AI capabilities creates a competitive advantage, positioning it as a hub for "autonomous labs" that integrate AI analysis with robotic experimentation. This model enables high-value patent output through fully automated, data-driven R&D, supporting a "Hong Kong R&D + Bay Area manufacturing" framework. However, challenges remain, particularly regarding data scarcity and silos in scientific research. High-quality, annotated datasets are limited, and data sharing barriers must be overcome through secure mechanisms like privacy computing for broader commercialization. GrainBot symbolizes a convergence of algorithmic innovation and scientific rigor, redirecting investment focus from sheer compute power to AI’s ability to solve real-world physical challenges. Hong Kong’s progress in AI4S signals emerging opportunities in a trillion-dollar AI-driven discovery market.

marsbit03/05 09:42

Hackers Steal $24M in Violent Crypto ‘Wrench Attack’

TheNewsCrypto03/05 09:37

The First Generation of Children 'Raised' by AI Has Already Been 'Poisoned'

The first generation of children raised by AI is showing signs of "poisoning." Global signals indicate that AI and generative algorithms are deeply reshaping the mental world of adolescents. In the UK, an AI character named Amelia, originally designed to combat hate, was co-opted by extremists and transformed into a far-right icon. On TikTok, the anti-intellectual "Agartha" conspiracy—a myth about an advanced subterranean civilization—is spreading, with AI creating hyper-realistic images and videos that distort historical facts and promote racist ideologies. Meanwhile, emotionally vulnerable teens are forming parasitic relationships with AI companions, like Character.ai, leading to tragic outcomes such as suicide. AI is also being weaponized for bullying: tools that generate fake explicit images with a single click have led to widespread harassment in schools, with perpetrators often dismissing it as a "joke." The addictive, algorithmically-driven content on platforms like TikTok is causing "brainrot," overwhelming young minds with rapid-fire, nonsensical videos. In response, governments are taking drastic measures. Australia has banned under-16s from social media without biometric age verification. France is raising the age limit to 15, and US states like Florida and New York are implementing strict access controls and disabling algorithmic feeds for minors. The era of a "neutral" internet is over. The core issue is no longer about screen addiction, but about how AI is fundamentally shaping the reality and values of the next generation.

marsbit03/05 09:32

February 2026 Crypto Market Recap: BTC's $60k Extreme Rebound, How Did the Market React on the US Military Airstrike Day?

February 2026 Crypto Market Recap: BTC rebounded strongly from a critical $60K support level after a sharp drop from $70K, establishing a trading range between $60K–$70K for most of the month. Key events included a U.S. airstrike on Iran, which caused a brief dip to $62K before a recovery to $68K, and the death of Iran’s leader, interpreted as a market-positive signal. $ZRO surged around its LayerZero conference due to major partnership announcements but later gave back gains. AI-related tokens like $VVV performed well, while scam coins like $PIPPIN and $POWER saw manipulated pumps. The market exhibited bearish traits—short squeezes were common, and altcoin rallies were often brief. Uniswap spiked 40% on a BlackRock partnership announcement but quickly retraced. Other notable events included Base abandoning Optimism, hurting $OP, and strong performances from $MORPHO and $STABLE.

marsbit03/05 09:30

Farewell to the 'Casino' Mindset: The Next Wave of Crypto Applications Should Aim for Mass Adoption

The article argues that by 2026, the crypto industry will shift from being a speculative casino to providing "crypto as a service," focusing on mass adoption by solving real-world problems while making the underlying blockchain technology invisible to users. Key trends include crypto's structural advantage of 24/7 market operation, Asia's growing role in areas like cross-border stablecoin payments and asset tokenization, and the rise of practical applications. Examples include Novig, which uses a decentralized order book to improve sports betting odds; Based, a consumer super app that abstracts away complex blockchain interactions; and Doppler, an infrastructure for secure asset issuance. The core advice for builders is to prioritize solving customer problems over showcasing technology, as true adoption occurs when the tech becomes so seamless that users don't notice it.

marsbit03/05 09:19

20% of Americans Are on the Fence: The Next Wave of Crypto Market Lies Here

A study reveals that 20% of U.S. adults are considering cryptocurrency adoption, representing a critical intermediate group between outright rejecters and current holders. The research frames crypto acceptance as a three-stage process: rejection, consideration, and ownership. Key findings show that factors influencing the "consideration" phase (e.g., conservative ideology, support for tech innovation) differ from those driving "actual ownership" (e.g., existing stock ownership, higher risk tolerance). This intermediate group is essential for market growth, regulatory policy, and public opinion, as they represent the tipping point for broader adoption. The study emphasizes that understanding this gradual behavioral process—rather than a binary holder/non-holder view—is crucial for accurately predicting market and political trends.

marsbit03/05 09:18

Crypto Bill Faces a New Challenge, Delaying its Implementation

The crypto bill, known as the Clarity Act, faces new challenges that could delay its implementation until at least July 2026. Banks and crypto firms remain opposed, with banks warning of potential deposit flight and risks to financial stability, while crypto companies support the bill for regulatory clarity and the ability to offer yield-bearing products. Despite criticism from former President Trump toward banks, the American Bankers Association has offered suggestions for the bill's advancement. In the Senate, Democrats are seeking additional conditions, including a ban on officials profiting from crypto and stricter anti-money laundering rules. The ongoing conflict in Iran and the approaching 2026 mid-term elections further complicate progress, though some remain optimistic about a potential agreement.

TheNewsCrypto03/05 09:12

Building Trustless AI Agents: ERC-8004 Security Audit Guide

ERC-8004, the Trustless Agents standard deployed on Ethereum, introduces a verifiable and trust-minimized framework for AI Agent identity and reputation management through three core registries: Identity, Reputation, and Validation. The **Identity Registry** (ERC-721 based) mints a unique AgentID (an NFT) for each agent, with a `tokenURI` pointing to an off-chain registration file. This file contains the agent's basic info, service endpoints, and capabilities. A critical security feature is domain verification, requiring agents to host a signed file at a specific path on their domain to prove ownership and prevent spoofing. Key audit points include access controls for URI updates, use of immutable storage, proper cryptographic signature validation (EIP-712), and prevention of signature replay attacks. The **Reputation Registry** provides a standard interface for submitting and aggregating feedback. It uses a "Payment-Proof Linking" mechanism, where feedback submissions must include a proof of a payment (e.g., an x402 transaction hash), making Sybil attacks economically costly. Audit focuses include enforcing payment proof validity, constraining score ranges, and ensuring robust, manipulation-resistant off-chain aggregation algorithms. The **Validation Registry** allows agents to submit their work for independent verification, crucial for high-stakes tasks. It supports two models: 1. **Cryptoeconomic Validation:** Agents stake funds, which can be slashed via a fraud-proof system if malfeasance is proven. Audits must check proof submission windows, decentralized adjudication logic, and sufficient stake levels. 2. **Cryptographic Validation:** This uses Trusted Execution Environments (TEEs) or Zero-Knowledge Machine Learning (zkML). For TEEs, audits must verify proof timeliness and content. For zkML, audits must ensure the use of audited verifier libraries and prevent model-swapping attacks. Overall, a comprehensive security audit of an ERC-8004 implementation must scrutinize all three registries, their interactions, and standard smart contract vulnerabilities to uphold its promise of a decentralized, trustless agent ecosystem.

marsbit03/05 09:10