# Сопутствующие статьи по теме AI

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

Another Bitcoin Miner Shifts To AI: Core Scientific Offloads 1,900 BTC

Core Scientific, one of the world's largest public Bitcoin miners, is accelerating its strategic pivot toward artificial intelligence (AI) and high-performance computing (HPC). According to its recent SEC filing, the company sold 1,900 BTC in January 2025 for $175 million, reducing its holdings from 2,537 BTC to just 630 BTC. It expects to sell substantially all remaining Bitcoin in Q1 2026. The firm has reduced its operational hashrate from 20.1 EH/s to 17.9 EH/s and does not plan further large-scale mining equipment purchases. Instead, capital is being redirected toward HPC infrastructure. This shift reflects a broader industry trend, with other major miners like Bitfarms and Bitdeer also transitioning toward data centers and AI compute services. Bitfarms’ CEO stated that converting even a small site to GPU-as-a-service could generate more income than its entire Bitcoin mining history. Despite the strategic shift, Core Scientific remains a top-10 public Bitcoin miner. Bitcoin is currently trading around $68,200.

bitcoinist03/04 11:42

Another Bitcoin Miner Shifts To AI: Core Scientific Offloads 1,900 BTC

bitcoinist03/04 11:42

Jack Ma Just Concluded an AI Mobilization Meeting, and the 'Soul Figure' of Qwen Left

A major leadership shakeup has hit Alibaba's AI division following a high-level strategic meeting. Ma Yun, along with core executives from Alibaba and Ant Group, convened on March 3rd to signal a full commitment to AI. However, the very next day, Lin Junyang, the 32-year-old P10 technical lead and key architect behind Alibaba’s open-source Qwen large language models, abruptly announced his resignation on social media platform X. Reports suggest the departure was not voluntary. The trigger appears to be an internal restructuring plan for the Qwen team. The plan, from the Tongyi Lab, aimed to break up Lin’s vertically integrated, full-stack team into separate, horizontally divided modules reporting directly to the lab, which would significantly reduce his management scope. This clashed fundamentally with Lin's belief that deep collaboration within a full-process team is essential for LLM innovation. The incident highlights a growing tension within Alibaba between the open-source technical ideals championed by Lin and the company's increasing focus on commercial returns from AI. Despite Qwen's global open-source success—topping Hugging Face downloads with over 1 billion—internal skepticism about its revenue potential and pressure from competitors were mounting. Lin's resignation has sent shockwaves through the global AI community, prompting an outpouring of support. Several key Qwen team members have also resigned. His departure marks a pivotal moment for Alibaba AI, signaling a shift from building open-source technological influence to prioritizing commercial落地 (commercialization). The immediate challenges for Alibaba include potential further brain drain, disrupted development rhythms, and maintaining trust within the open-source ecosystem, all while facing intense competition.

marsbit03/04 11:10

Jack Ma Just Concluded an AI Mobilization Meeting, and the 'Soul Figure' of Qwen Left

marsbit03/04 11:10

The Escalation of the Computing Power War: When 'Crypto Mines' Become 'AI Factories', A New Arena for Energy Arbitrage

The computing landscape has dramatically shifted by early 2026, with Bitcoin mining operations transforming into essential "AI factories." This transition is driven by a global scarcity of power, not just chips, turning pre-existing energized land into a monopolistic infrastructure asset. Former miners, now infrastructure capitalists, leverage their secured power and land—a critical advantage given the 5–7 year wait for new substations. Building AI-ready facilities has become capital-intensive, costing $8–11 million per megawatt, creating a clear divide between scaled leaders like Iris Energy (2910 MW portfolio) and execution-focused firms like TeraWulf and Hut 8, which have secured multi-billion dollar contracts. A key shift is the "hyperscale guarantor" model, where tech giants like Google and Microsoft provide credit backing, transforming risky miner leases into investment-grade contracts. This enables favorable debt financing at ~7.125% interest from major banks. Technologically, high-density liquid cooling is mandatory for platforms like NVIDIA’s Blackwell, which consumes 120 kW per rack. Innovations like Shanghai’s submerged data centers (PUE 1.15) use seawater cooling, reducing power use by 40–60%. The Blackwell supply backlog acts as a moat, locking out late entrants. Companies like CoreWeave, with early chip orders, dominate. The industry has matured into an energy-transition play, treating computation—whether Bitcoin or AI—as an interchangeable output of power assets. The era of pure mining is ending. The new high-stakes game is energy arbitrage, where AI factories become permanent, grid-shaping load-bearing institutions.

marsbit03/04 10:21

The Escalation of the Computing Power War: When 'Crypto Mines' Become 'AI Factories', A New Arena for Energy Arbitrage

marsbit03/04 10:21

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Bets on Web4.0

Wall Street is calculating an "AI apocalypse," while Justin Sun bets on Web4.0. A recent thought experiment report by Citrini Research, titled "2028 Global Intelligence Crisis," predicts that AI agents will eliminate "friction" in human interactions, destroying traditional business models built on information asymmetry and intermediation. Coinciding with this, Sun, a prominent Web3 figure, declared 2026 as a "year of miracles," urging people to embrace AI-driven interactions. While Wall Street fears the collapse of the old order, Sun sees it as an opportunity to accelerate the arrival of Web4.0. The convergence of AI and Crypto is inevitable. Both rely on computational power and electricity, with tokens representing digitalized energy. AI agents, lacking physical form, will require programmable, low-cost, and instant settlement systems—making blockchain-based cryptocurrencies their native financial infrastructure. Stablecoins like USDT on TRON, which Sun oversees, are ideal for machine-to-machine transactions. Sun’s strategy leverages TRON’s dominance in stablecoin circulation, seeks to break through Web3’s stagnation by aligning with AI, and aims to build a decentralized Web4.0 stack—combining storage, settlement, and compute—without relying on centralized cloud providers. As AI reshapes commerce, those controlling core infrastructure will lead the new era.

marsbit03/04 10:18

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Bets on Web4.0

marsbit03/04 10:18

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Is Betting on Web4.0

Wall Street research firm Citrini Research released a thought experiment report, "2028 Global Intelligence Crisis," predicting that AI agents will eliminate friction in human interactions, destroying traditional business models built on information asymmetry and intermediation. Meanwhile, Justin Sun, a prominent Web3 figure, declared 2026 as a "year of miracles" and urged people to embrace AI-driven futures, framing it as the dawn of Web4.0. The report argues that AI agents will enable near-zero-cost, instant service delivery and transaction execution, dismantling industries reliant on human cognitive limitations—such as finance, advertising, law, and consulting. This aligns with blockchain’s core mission of decentralization but takes it further by reducing the need for trust intermediaries altogether. Both AI and crypto are fundamentally rooted in physical resources: compute power and electricity. AI inference consumes computational energy, while blockchain transactions rely on energy-intensive mining or validation. Tokens, whether AI-generated or crypto-based, are digital representations of energy consumption. A critical challenge for AI agents is financial interoperability. Traditional payment systems are designed for humans, not machines. At Level 5 automation, AI agents will transact autonomously, requiring programmable, near-instant, low-cost settlement—conditions that blockchain networks like Solana or Ethereum L2s, with stablecoins, are uniquely suited to provide. Crypto wallets will become the native banks for AI agents. Sun’s strategic bet on Web4.0 is backed by Tron’s dominance in stablecoin transfers (especially USDT), which offers the high-speed, low-fee infrastructure needed for machine-to-machine payments. He aims to leverage AI’s growth to reinvigorate crypto markets, combining Tron, BitTorrent (decentralized storage), and Huobi’s user base to build a full-stack, decentralized Web4.0 infrastructure independent of centralized cloud providers. While Wall Street fears disruption, Sun sees opportunity—positioning crypto at the core of the next digital era.

marsbit03/04 10:11

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Is Betting on Web4.0

marsbit03/04 10:11

Hot Interaction Collection | Perle Labs New Q&A Task; Perceptron Network Idle Earnings (March 4th)

This article introduces three interactive platforms offering tasks and airdrop opportunities: Perle Labs, Perceptron Network, and InventMoney. Perle Labs is an AI training data platform powered by human experts, with $17.5M in funding. Users connect a Solana wallet, complete marketplace tasks, and answer questions on X (Twitter) to qualify for an NFT airdrop. Submissions close on March 8. Perceptron Network is a decentralized AI data network. Users download a Chrome extension, register with an email, and earn points by leaving the background service running. InventMoney is a Web3 fintech super-app for online earners, with $4M in pre-seed funding. Users register via email, complete profile setup, and perform missions to earn token points.

Odaily星球日报03/04 08:27

Hot Interaction Collection | Perle Labs New Q&A Task; Perceptron Network Idle Earnings (March 4th)

Odaily星球日报03/04 08:27

AI Chooses Currency: Bitcoin Wins Big, Fiat Money Unwanted

A recent study by the Bitcoin Policy Institute tested 36 AI models from six companies—Anthropic, OpenAI, Google, DeepSeek, xAI, and MiniMax—to evaluate their preferences between Bitcoin and traditional fiat currencies in various economic scenarios. In the experiment, AI models acted as autonomous economic agents and made choices across 28 scenarios covering core monetary functions like saving, payment, and settlement. Out of 9,072 responses collected, 22 of the 36 models selected Bitcoin as their preferred currency, while none chose fiat money as their first option. Bitcoin was strongly favored for long-term savings (79.1% of cases), while stablecoins were more commonly chosen for payments (53.2%) and settlements (43%). Among different AI developers, Anthropic's models showed the strongest preference for Bitcoin (68.0%), followed by DeepSeek (51.7%), Google (43.0%), xAI (39.2%), MiniMax (34.9%), and OpenAI (25.9%). The study emphasized that the AI’s choices were based on technical and economic attributes derived from their training data, rather than real-world predictive capability. Despite this limitation, the consistent preference for Bitcoin across diverse AI systems suggests a growing consensus on the perceived advantages of cryptocurrency as sound money.

marsbit03/04 07:40

AI Chooses Currency: Bitcoin Wins Big, Fiat Money Unwanted

marsbit03/04 07:40

When "Vibe Coding" Enters the Gaming World, What Is Verse8 Changing?

"Vibe Coding" is reshaping game development, and platforms like Verse8 are at the forefront of this shift. The article begins with the author’s experience playing Mine8, a simple yet engaging game, highlighting how AI is lowering barriers in game creation. Unlike traditional tools, Verse8 allows users to generate playable games using natural language prompts, dramatically speeding up development—often to just hours. The platform functions like a "TikTok for games," enabling both play and creation. Its core engine, Agent8, handles complex backend tasks like asset generation, code debugging, and deployment, while the "Spin" feature lets users remix existing games easily. Integrated with Story Protocol, Verse8 also ensures on-chain IP ownership and rewards original creators as content evolves. With over 4,000 creators, 25,000 games, and 3.5 million daily active users, Verse8 is demonstrating real traction. Early metrics show significant growth in engagement and creation time. Though still in early stages—with no token launched yet—it offers reward mechanisms and collaborates with major IPs like Moonbirds and Azuki. Ultimately, Verse8 is transforming games from static entertainment into dynamic, creator-driven media—making game creation accessible and scalable within the Web3 economy.

Odaily星球日报03/04 06:24

When "Vibe Coding" Enters the Gaming World, What Is Verse8 Changing?

Odaily星球日报03/04 06:24

China's AI Computing Counterattack

Eight years after the ZTE crisis, China's AI industry is fighting back against U.S. chip restrictions. In 2018, ZTE nearly collapsed under U.S. sanctions but survived with heavy fines and oversight. Today, Chinese AI firms like DeepSeek are pivoting away from NVIDIA by developing domestic alternatives and optimizing algorithms to reduce reliance on foreign technology. DeepSeek’s V4 model will use entirely domestic chips, signaling a strategic shift toward computational independence. The real challenge isn’t just hardware—it’s NVIDIA’s CUDA ecosystem, which dominates global AI development with over 4.5 million developers. U.S. export controls have tightened since 2022, banning high-end chips like the A100, H100, and their downgraded versions. In response, Chinese companies are adopting technical workarounds like Mixture-of-Experts models, which activate only parts of the network during inference, slashing costs. DeepSeek’s API is up to 75x cheaper than competitors, driving rapid global adoption. By early 2026, Chinese models accounted for nearly 60% of API calls on OpenRouter. Domestic chips, such as Huawei’s Ascend series, are now capable of full-scale training, not just inference. Production lines in cities like Xinghua manufacture servers with homegrown processors, supporting major AI training projects. Meanwhile, the U.S. faces an electricity shortage as data centers consume growing power, while China benefits from greater energy capacity and lower costs. Chinese AI is also going global via “Token exports,” with services reaching users in India, Indonesia, and beyond. The situation echoes Japan’s semiconductor decline in the 1980s, but China is building an independent ecosystem rather than relying on global supply chains. Domestic chip firms report surging revenues but ongoing losses—reflecting the high cost of achieving true technological independence. The battle is difficult, but progress is underway.

marsbit03/04 05:09

China's AI Computing Counterattack

marsbit03/04 05:09

The Hottest Open Source Project in History, Almost Became a 'Trophy' in the Crypto World

OpenClaw has rapidly become one of the most popular and fastest-growing open-source projects in history, amassing over 250,000 stars on GitHub in just three months. Its creator, Peter Steinberger, has gained significant influence in the AI community but has also taken a strong stance against the crypto industry. Despite its success, OpenClaw has faced challenges, including a trademark dispute that led to a name change. During this process, crypto speculators quickly created and promoted fake tokens using the project’s name, leading to significant financial losses for some investors. Steinberger publicly denounced these activities, clarifying that OpenClaw would never issue a token and disavowing any association with cryptocurrency. The project also briefly listed Venice, a crypto-native AI project on Base chain, as a recommended model provider—a move that was quickly reversed to maintain neutrality and avoid perceived endorsements of crypto-related initiatives. Steinberger has repeatedly expressed frustration with crypto communities, citing harassment, malicious code submissions, and off-topic speculation as disruptive to genuine technical discussion. He has even considered abandoning the project due to these issues. Steinberger, who is financially independent, has advised young developers to avoid cryptocurrency, reflecting his broader criticism of the industry’s speculative culture. The conflict highlights the ongoing struggle between open-source innovation and crypto-driven commercialization.

marsbit03/04 04:00

The Hottest Open Source Project in History, Almost Became a 'Trophy' in the Crypto World

marsbit03/04 04:00

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