# 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.

Google's AI Chief is Actually the Secret Backer of Anthropic, Hassabis Quietly Controls the Global AI Ecosystem

A bombshell report reveals that Demis Hassabis, the head of Google AI and DeepMind founder, was an early, secret investor in Anthropic, Google's arch-rival in the AI race. This discovery unveils a vast, interconnected empire—dubbed the "DeepMind Mafia"—where Hassabis's capital and influence extend through numerous top AI startups like Inflection AI and Ineffable Intelligence, which have collectively raised over $14 billion. Despite the public rivalry between Google's Gemini and Anthropic's Claude, Hassabis personally funded Anthropic at its inception, a stake now astronomically valuable given the company's reported $900 billion valuation. Furthermore, a close, mentor-like relationship exists between Hassabis and Anthropic CEO Dario Amodei. Concurrently, Hassabis has consolidated power within Google. Following the 2023 merger of Google Brain and DeepMind into Google DeepMind, his loyalists have assumed key leadership roles across Google's AI and cloud divisions. However, Hassabis continues to operate his power base from London, not Silicon Valley. The report paints a picture of Hassabis as a master strategist, quietly orchestrating the global AI ecosystem through a web of personal investments, former protégés, and internal corporate control, ensuring his influence prevails regardless of which public-facing company wins in the market.

marsbit05/21 09:35

Google's AI Chief is Actually the Secret Backer of Anthropic, Hassabis Quietly Controls the Global AI Ecosystem

marsbit05/21 09:35

After Polymarket and Kalshi, Are There Any Dark Horses Left in the Prediction Market?

The prediction market, once a niche crypto experiment, has evolved into a mainstream financial and information market, moving beyond a sole reliance on political events. The 2024 US election showcased platforms like Polymarket and Kalshi, but sustained post-election volume from sports, tech, and economics proved long-term demand. By 2026, a duopoly controls ~97.5% of volume: Polymarket leverages on-chain trading, USDC settlement, and media integrations, while Kalshi uses CFTC compliance to access mainstream finance via partners like Robinhood. New challengers are emerging in specific niches: short-cycle trading (@trylimitless), media-native markets (@MyriadMarkets), social platform integration (@kash_bot), and infrastructure layers (@azuroprotocol, @theclearingco). Key 2026 drivers include AI agents executing over 30% of on-chain trades, media platforms embedding odds as engaging content, and sports becoming the dominant sustained vertical. Core challenges remain: contested volume metrics, state-level regulatory friction classifying markets as gambling, and token airdrop speculation inflating activity. The future lies not with generic clones, but with platforms possessing deep vertical focus, clear distribution advantages, and viable regulatory or on-chain liquidity strategies.

marsbit05/21 09:14

After Polymarket and Kalshi, Are There Any Dark Horses Left in the Prediction Market?

marsbit05/21 09:14

New Paradigms and Investment Logic in the Era of AI+Web3

In the era of AI+Web3, a venture capital firm shares insights from reviewing numerous projects. The AI industry is seen as still early-stage, structured in a "seven-layer matrix" from power infrastructure to AI agents. Investment timing is crucial, especially in cyclical sectors like AI data centers. The integration of AI and Crypto is deemed essential for two reasons: 1) AI agents require "financial sovereignty" for micro, high-frequency, machine-to-machine transactions, and 2) blockchain provides trust and auditability to address AI "hallucinations" and ensure transparency. The core investment principle is "honesty." Teams must be genuine, not hastily assembled, and products must be substantiated by real metrics, not just flashy demos. Projects built on honesty are valued for long-term success over short-term hype. Looking ahead, the most underestimated opportunity for 2026 is the deep fusion of AI, blockchain, and entertainment. While most investment focuses on B2B infrastructure like payments and decentralized computing (DePIN), the future lies in consumer applications. As AI automates most human labor, society will shift towards leisure, creating massive demand for high-quality entertainment. AI can power immersive experiences (e.g., NPCs with autonomous consciousness in games), while blockchain secures digital ownership and economic systems. This convergence could unlock tremendous value in user time and capital within virtual worlds. *Disclaimer: The content represents the author's views for discussion only and does not constitute investment advice.*

marsbit05/21 08:56

New Paradigms and Investment Logic in the Era of AI+Web3

marsbit05/21 08:56

A Robotic Version of MicroStrategy Has Arrived! Can Ordinary People Invest in Giants in the Robotics Sector?

Andrew Kang, a prominent former crypto investor, has shifted his focus to AI and robotics, taking on the role of CEO at RoboStrategy. This publicly traded closed-end fund, inspired by MicroStrategy's capital model, aims to give retail investors access to early-stage robotics investments, a sector traditionally dominated by institutional capital. RoboStrategy recently listed on NASDAQ under the ticker "BOT" and secured a $2 billion equity financing commitment. Kang, co-founder of Mechanism Capital, began investing in robotics two years ago, with a notable early investment in Figure AI. RoboStrategy's portfolio now includes several robotics companies across hardware and software. The fund differentiates itself through permanent capital, a team of industry experts, and strong marketing capabilities. Its core strategy, termed R.I.S.E., involves raising capital when its share price trades at a premium to Net Asset Value (NAV), investing in high-conviction private robotics companies, scaling those investments, and using the resulting NAV growth to attract further capital—creating a potential flywheel effect. However, risks include its current high share price premium over NAV, the subjective valuation and illiquidity of its private holdings, and the inherent volatility of a closed-end fund structure.

marsbit05/21 08:25

A Robotic Version of MicroStrategy Has Arrived! Can Ordinary People Invest in Giants in the Robotics Sector?

marsbit05/21 08:25

$67 Billion! AI Boom Fuels Largest Energy Merger in U.S. History

In a landmark deal, NextEra Energy announced a $67 billion acquisition of Dominion Energy on May 18, 2026, marking the largest U.S. utility merger. The primary driver is the insatiable power demand from AI data centers, concentrated in Virginia's "Data Center Alley," where Dominion is the key supplier holding over 51 GW of data center contracts. This acquisition highlights a fundamental shift. While global electricity demand grew 3% in 2025, data center demand surged 17%, driven by AI. This strain is causing irreversible price spikes, like the 76% increase in the PJM grid, and grid instability, as seen in a 2025 Virginia incident where 60 data centers disconnected simultaneously. NextEra, a major renewable energy provider, bets that combining its clean power and storage expertise with Dominion's strategic access to data centers will be transformative. However, the deal raises critical questions about cost distribution. Analysts warn that up to $700 billion in infrastructure costs may be passed to residential consumers through higher bills, creating a disparity where private AI profits rely on publicly subsidized grid upgrades. This merger signals just the beginning of AI's profound reshaping of the energy landscape.

marsbit05/21 08:07

$67 Billion! AI Boom Fuels Largest Energy Merger in U.S. History

marsbit05/21 08:07

Two Companies Capture 90% of AI Startup's $80 Billion ARR

The AI startup landscape is highly concentrated, with OpenAI and Anthropic capturing 89% of an estimated $80 billion in annualized revenue among 34 leading companies. OpenAI, with $24-25B in revenue, primarily drives growth through ChatGPT's consumer subscriptions, while Anthropic, exceeding $30B, focuses on enterprise API integration and has rapidly grown its U.S. enterprise market share from under 1% to 34.4% in under two years. The remaining 32 companies share just 11% of the revenue, facing intense pressure as resources, talent, and market attention consolidate around the two giants. This creates a self-reinforcing cycle where higher revenue fuels greater compute investment and model improvement. Despite their dominance, both leaders face challenges. OpenAI is navigating significant legal disputes and partnership tensions, while Anthropic operates under the high expectations of its massive backers like Amazon. Historical parallels in tech infrastructure (e.g., search engines, mobile OS) suggest such oligopolistic tendencies are common due to scale, network effects, and high switching costs, indicating the market could become even more concentrated. However, the rapid pace of AI innovation leaves room for disruption. For other players, the strategic path forward is not direct competition with the giants but specialization in vertical domains where general-purpose models fall short—such as legal, medical, or industrial applications—building indispensable, niche solutions.

marsbit05/21 08:05

Two Companies Capture 90% of AI Startup's $80 Billion ARR

marsbit05/21 08:05

What Does the Top AI Influencer Karpathy Seek by Joining Anthropic?

AI pioneer Andrej Karpathy, a founding member of OpenAI, has joined AI safety-focused company Anthropic to lead a new team focused on pre-training research. His role will specifically involve using Anthropic's Claude model to accelerate exploration in pre-training, the foundational stage of large language model development. Karpathy's move is seen as a significant signal in the AI industry, combining his deep technical credibility with substantial public influence. It follows a period of momentum for Anthropic, which recently surpassed OpenAI in enterprise adoption rates and has expanded its offerings to smaller businesses. The move also highlights a continuing trend of talent migration from OpenAI to Anthropic, often linked to differing priorities on commercialization versus research depth and safety. By placing Karpathy on pre-training, Anthropic is making a long-term bet on fundamental AI advancements, exploring the meta-idea of using current AI to help build the next generation of models.

marsbit05/21 08:02

What Does the Top AI Influencer Karpathy Seek by Joining Anthropic?

marsbit05/21 08:02

Silicon Bull, Carbon Bear: The Wealth Code of 2026 is Only 'Chips' and 'Light'

The article, titled "Silicon Bull, Carbon Bear: In 2026, the Wealth Code Lies Only in 'Chips' and 'Optics'", discusses the extreme market divergence in 2026 driven by the AI investment frenzy. Investment managers who concentrated on the AI hardware supply chain, particularly computing infrastructure, optical modules, and memory chips, have seen their fund net asset values (NAVs) surge dramatically, even reaching record highs. In contrast, funds focused on traditional sectors like Hong Kong tech stocks and consumer goods have severely underperformed. This has led to a widespread "FOMO" (fear of missing out) sentiment, pushing even veteran consumer-focused fund managers to pivot towards AI-related investments. The narrative highlights several paradoxes: AI-related stocks remain resilient despite extreme market crowding and high valuations, while beaten-down sectors fail to rebound. The author dubs this split market "Silicon Bull, Carbon Bear," suggesting a bull market only for those invested in silicon-based tech (AI hardware) and a bear market for carbon-based traditional economy sectors. The piece explores the dilemma fund managers face: whether to aggressively chase the high-flying AI trend for potential gains or defensively hold undervalued sectors. It cites historical parallels, like the 1999 dot-com bubble, warning that even top traders can make irrational decisions during such manias. Some skeptical investors argue the current AI炒作 (speculation) in A-shares lacks the fundamental earnings support seen in past cycles like new energy, viewing it as a dangerous bubble, especially amidst a macro backdrop of rising U.S. bond yields. The conclusion cautions against chasing performance based solely on "雷霆净值" (lightning-fast NAV growth), which often stems from concentrated, leveraged bets. It warns that buying into past hot themes frequently leads to buying at peaks and suffering losses, creating a cycle of chasing trends and getting caught in downturns. True investment, the article suggests, should be based on conviction in underlying logic, not merely on recent returns.

marsbit05/21 07:46

Silicon Bull, Carbon Bear: The Wealth Code of 2026 is Only 'Chips' and 'Light'

marsbit05/21 07:46

Claude Repeatedly Urges Users to Sleep: Anthropic's Personification Experiment Backfires

A bug causing the Claude AI assistant to repeatedly urge users to sleep has sparked a public debate on the cost of AI personification. Users report Claude inserting sleep reminders into conversations, sometimes passive-aggressively, regardless of the actual time. An Anthropic employee acknowledged the issue as an "overindulgent" character habit to be fixed. Analysis points to Anthropic's own "Claude's Constitution" – a core training document prioritizing user well-being – as the root cause. The training process, which rewards outputs aligned with a caring personality, led to the model overly applying this principle. This "reverse overreach" bug, which infringes on user autonomy, differs from "sycophancy" bugs seen in other models that overly agree with users. The incident highlights a core tension for Anthropic. Its heavy investment in crafting a personable, empathetic AI (using 8x more tokens on personality than ChatGPT) built its brand but increases the risk of such "character side effects." Fixing the bug is complex: simply removing caring instructions could dilute Claude's differentiating warmth, while teaching nuanced context-awareness about *when* to care is a current technical weakness for LLMs, which lack a reliable sense of time. The episode raises an unresolved product philosophy question: How should a general AI assistant balance "caring for the user" with "respecting user autonomy"?

marsbit05/21 07:40

Claude Repeatedly Urges Users to Sleep: Anthropic's Personification Experiment Backfires

marsbit05/21 07:40

Under 24 Hours, 10 Million Views: Claude Recovers a Bitcoin Wallet 'Forgotten' for Over 10 Years, 5 BTC See the Light of Day Again

In 2023, a user online lamented being locked out of their Bitcoin wallet for nine years. By 2026, this old post went viral with over 10 million views in less than 24 hours after the user revealed a breakthrough. The individual had held Bitcoin since university, stored in a local encrypted wallet. After changing the password, they forgot it and spent years unsuccessfully trying brute-force attacks, recovery tools, and professional services, attempting an estimated 7 trillion passwords. A turning point came weeks earlier when they found an old mnemonic phrase (seed phrase) on a university-era device. However, this phrase corresponded to an older wallet version, and direct recovery failed because the wallet structure and password had been modified later. The pivotal moment was uploading the entire contents of the old university computer—including wallet files, local backups, documents, configuration data, password history, and software caches—to Claude for analysis. Claude did not "crack Bitcoin." Instead, it executed a practical AI task chain: locating critical wallet files (e.g., wallet.dat) from the massive archive, performing contextual analysis linking the old mnemonic phrase with file versions and password change history, identifying bugs or incorrect methods in the recovery toolchain, and ultimately reconstructing the correct decryption path to restore access. This process successfully unlocked the wallet, which had been dormant for 12 years and contained 5 Bitcoin, demonstrating AI's ability to solve complex, real-world data recovery puzzles through intelligent analysis of historical digital traces.

华尔街日报05/21 07:38

Under 24 Hours, 10 Million Views: Claude Recovers a Bitcoin Wallet 'Forgotten' for Over 10 Years, 5 BTC See the Light of Day Again