# Сопутствующие статьи по теме Blockchain

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Blockchain", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

From Manus' Xiao Hong: The Crypto Interns Who Made It to the Big Leagues

The article "From Manus' Xiao Hong to Those Crypto Interns Who Made It Big" explores the early careers of several key figures in the cryptocurrency and tech industries, highlighting how their internships and early roles during Bitcoin's formative years shaped their later success. In late 2025, Meta acquired AI company Manus, founded by Xiao Hong, who was revealed to be an early Bitcoin holder. Xiao, now a Meta VP, had his first internship in 2013 at Yibit, one of China’s earliest Bitcoin media companies, founded by prominent miner Mao Shixing (aka "Shenyu"). This experience exposed him to decentralized systems and crypto ideals that later informed his work in AI. The piece also tells the story of Ge Yuesheng, a 21-year-old intern who became an early angel investor in Bitmain, providing crucial funding and resources. He eventually co-founded Matrixport and became one of the youngest crypto billionaires. Another example is Wang Hui, OKCoin’s first employee, who built its technical infrastructure from scratch. After leaving, he co-founded JEX, which was later bought by Binance. These stories underscore common themes: timing (entering crypto during its 2013–2017 "chaotic" early days), the importance of following visionary leaders, and a willingness to embrace risk and uncertainty. While these are survivor stories, they illustrate how early exposure to crypto’s foundational ideas provided a unique vector for recognizing future tech trends—from Bitcoin to AI. The article concludes by reflecting on the rapid evolution of the industry, where a decade can transform an intern into a billionaire, and emphasizes the unpredictable, high-reward nature of betting early on emerging technologies.

marsbit01/09 03:53

From Manus' Xiao Hong: The Crypto Interns Who Made It to the Big Leagues

marsbit01/09 03:53

Galaxy Research 10,000-Word Report: x402 and the "Leviathan Moment" of the AI Economy

Artificial intelligence agents are poised to transform the internet by enabling autonomous task execution, reducing the need for direct human interaction. Galaxy Research highlights the emergence of Agentic Payment Standards (APS), particularly the x402 protocol, which allows AI agents to use cryptocurrencies like stablecoins for seamless, on-demand payments for digital services, data access, and API calls. Developed by Coinbase, x402 leverages the HTTP 402 status code to facilitate machine-native transactions, eliminating the need for traditional payment rails or API key management. The protocol operates through a stack involving clients (agents), servers, coordinators, and blockchain settlement layers, with recent upgrades (x402 V2) enhancing support for subscriptions, reusable sessions, and service discovery. Early adoption saw speculative activity, but use cases are expanding into data-as-a-service, agent-to-agent transactions, and infrastructure payments. While x402 excels in micro-payments for digital resources, traditional players like Visa, PayPal, and Stripe are also developing agentic commerce solutions for regulated, high-value e-commerce transactions. The integration of APS could significantly improve capital efficiency for software production by replacing subscriptions with pay-per-use models, reducing friction in experimentation and development. In the long term, blockchain-based payments are likely to operate silently in the background, complementing rather than replacing existing systems, and becoming a foundational layer for the AI-driven economy without requiring end-user engagement with crypto directly.

比推01/09 00:08

Galaxy Research 10,000-Word Report: x402 and the "Leviathan Moment" of the AI Economy

比推01/09 00:08

Data Reveals: Is Solana's Slower Transfer Speed Actually Caused by Validators 'Playing Games'?

Jito Labs launched the IBRL Explorer tool to analyze Solana validator behavior in block construction, revealing widespread "timing games" that slow down the network. The tool evaluates validators based on slot time (35%), even distribution of non-vote transactions (40%), and early vote processing (25%). Many validators engage in "late packing," where non-vote transactions are delayed until the final ticks of a slot, prioritizing profit maximization through MEV extraction (e.g., backrunning or sandwich attacks) at the expense of network latency and user experience. This disrupts Solana’s intended streaming design, increases execution variance, and exacerbates negative market structure effects like wider bid-ask spreads. A debate exists between Jito and Temporal (developer of Harmonic client) over what constitutes optimal block construction. Temporal argues IBRL scores favor Jito’s approach and misclassify Harmonic’s auction-based method, which batches transactions but claims continuous execution. Harmonic outperforms in per-block revenue but faces scrutiny over potential user trade-offs. Protocol-level solutions like Multi-Concurrent Proposers (MCP) aim to eliminate single-leader monopolies by enabling parallel block building, but depend on Alpenglow’s mainnet launch (est. 2026). Meanwhile, Jito’s BAM client, now adopted by ~12% of stake, offers auditable ordering logic to mitigate MEV externalities. The competition highlights tensions between validator profitability and network health.

比推01/08 18:21

Data Reveals: Is Solana's Slower Transfer Speed Actually Caused by Validators 'Playing Games'?

比推01/08 18:21

From Intern to the Main Table: The 'Fast Lane of Life' for Early Crypto Participants

From Intern to the Main Table: The "Fast Track" of Early Crypto Participants The article chronicles the remarkable journeys of early cryptocurrency adopters who leveraged internships and entry-level roles during Bitcoin's nascent stages (2013-2017) to achieve extraordinary success. It highlights three key figures: 1. **Xiao Hong (founder of AI company Manus, acquired by Meta in 2025)**: As a sophomore intern at Chinese Bitcoin media outlet YiBit in 2013, he absorbed decentralized principles that later informed his AI work. His path exemplifies how early crypto exposure provided a "vector" for identifying future technological shifts. 2. **Ge Yuesheng (youngest billionaire in Bitmain’s founding team)**: Initially an intern at a私募 firm, he used family resources to become Bitmain’s earliest angel investor at age 21, securing 28% equity. His risk-taking during crypto’s volatility led to co-founding Matrixport. 3. **Wang Hui (OKCoin’s first employee)**: He built OKCoin’s technical infrastructure from scratch, later founding JEX (acquired by Binance). His story underscores OKCoin’s role as a "crypto黄埔军校" (Huangpu Military Academy) for talent. Common success factors include: - **Timing**: Entering during crypto’s "chaotic phase" (2013-2017) offered disproportionate growth opportunities. - **Mentorship**: Aligning with visionaries like神鱼(Shenyu), Wu Jihan, or Xu Mingxing provided access to high-value networks. - **Risk tolerance**: Embracing uncertainty during bear markets and early adoption yielded outsized returns. The piece acknowledges survivorship bias but argues that early crypto immersion cultivated a unique mindset—blending technical intuition, product agility, and long-term conviction—that enabled these individuals to thrive across subsequent tech waves (AI, Web3). In a rapidly evolving industry, today’s interns could be tomorrow’s billionaires.

比推01/08 14:29

From Intern to the Main Table: The 'Fast Lane of Life' for Early Crypto Participants

比推01/08 14:29

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