# 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.

Space Review | 'Ecological Synthesis' Becomes the New Engine: Decoding the Value Creation Model Beyond Track Rotation

"Crypto Market 2025: Decoding the 'Ecosystem Synthesis' Value Creation Engine" Amidst macroeconomic uncertainty and shifting monetary policy, the 2025 crypto market is witnessing a fundamental restructuring of value logic beyond mere sector rotation. Industry observers highlight that "smart money" is proactively positioning for the next bull cycle, seeking narrative anchors capable of absorbing future liquidity—before consensus forms and prices surge. True market leaders must demonstrate cross-cycle resilience, ecological scalability, and sustained liquidity accumulation. Unlike transient trends, enduring narratives leave behind functional infrastructure and economic systems. The TRON ecosystem emerges as a prime case study in synergistic value creation. Its high-throughput, low-cost base supports over 250 million accounts, while its status as a major stablecoin network ensures deep liquidity pools—evidenced by leading protocol revenues ($6.16M in 7 days). TRON’s "positive flywheel" integrates DeFi, AI, Memes, and cross-chain applications through composable protocols: users mint USDD, earn yield on JustLend, and provide liquidity on SunSwap in seamless cycles. Deflationary tokenomics (e.g., SUN/JST buybacks) and infrastructure expansion (like AI agent SunAgent and meme generator SunGenX) create a self-reinforcing loop—attracting developers, users, and capital while resisting cyclical volatility. This model exemplifies how integrated ecosystems may define the next paradigm of crypto value creation.

深潮12/17 12:17

Space Review | 'Ecological Synthesis' Becomes the New Engine: Decoding the Value Creation Model Beyond Track Rotation

深潮12/17 12:17

Why Are Bitcoin Miners Collectively Turning to AI? The Reasons Behind Are Astonishing

Bitcoin miners are shifting from cryptocurrency mining to leasing data center space to major tech companies for AI workloads, driven by fundamental vulnerabilities in their core business model. Mining revenues are highly volatile and entirely dependent on Bitcoin's unpredictable price, while structural expenses—including rising electricity costs, increasing mining difficulty, and hardware depreciation—continue to climb. With the current cost to mine one Bitcoin estimated at around $130,000, far above its market price, miners face sustained operational losses. This financial pressure has accelerated a strategic pivot. Miners possess key infrastructure valuable to AI firms: high-performance GPU clusters, massive power capacity, and advanced cooling systems. Companies like Core Scientific are repurposing their facilities into AI data centers, generating stable rental income. This transition provides more reliable cash flow, reduces reliance on Bitcoin's price volatility, and strengthens the overall industry by weeding out weaker players and fostering a more resilient, diversified business model.

marsbit12/17 11:07

Why Are Bitcoin Miners Collectively Turning to AI? The Reasons Behind Are Astonishing

marsbit12/17 11:07

From Bangers to Flops: A Critical Review of 21 Mainstream Crypto Narratives in 2025

Tokenization of real-world assets (RWA) continues to grow, reaching a market size of $200 billion, while stablecoins ($3100B) are becoming critical infrastructure for payments and digital banking. Prediction markets and perpetual contracts are also seeing record activity. In the top tier, BTCFi is gaining traction as Bitcoin becomes productive capital, and privacy solutions are increasingly important for institutional adoption. AI remains a major area of interest, and DeFi is shifting toward consumer applications with all-time high TVL. Emerging areas like chain abstraction and InfoFi are reducing user friction and refining data markets, though they are still developing. Robotics and ZK-technology remain more promising in theory than practice. Meanwhile, staking and restaking face yield compression and complexity, and DePIN struggles with real-world integration. L1/L2 development is slowing as value shifts to applications. SocialFi and GameFi still lack sustainable user retention or product-market fit. NFTs remain stuck in speculative JPEG trading, meme coins are losing dominance, and modular blockchains, while architecturally significant, lack compelling investment narratives.

marsbit12/17 08:53

From Bangers to Flops: A Critical Review of 21 Mainstream Crypto Narratives in 2025

marsbit12/17 08:53

Grayscale's Latest Report: Top 10 Investment Themes for 2026 and the End of the 'Four-Year Cycle'

Grayscale's 2026 Digital Asset Outlook report posits a fundamental shift in the crypto market, moving away from the volatile, retail-driven "four-year cycle" narrative and into an era dominated by institutional capital. The core drivers for 2026 are identified as: 1) rising macro demand for alternative stores of value (e.g., BTC, ETH) due to fiat currency uncertainties, and 2) significantly improved regulatory clarity, including anticipated bipartisan U.S. market structure legislation. The report outlines ten key investment themes for 2026: demand for monetary alternatives; regulatory support; stablecoin expansion post-GENIUS Act; the inflection point for asset tokenization; the need for privacy solutions; blockchain-based answers to AI centralization; DeFi acceleration led by lending; next-gen infrastructure; a focus on sustainable revenue models; and staking becoming a default investment strategy. Grayscale expects a continued institutional bull market, with Bitcoin likely reaching new all-time highs in H1 2026, driven by steady inflows via Exchange-Traded Products (ETPs) rather than speculative retail surges. Two topics are dismissed as "red herrings" for the year: quantum computing's threat and Digital Asset Treasury Companies (DATs). The conclusion emphasizes that the institutional era will widen the gap between assets with clear use cases, compliant access, and sustainable models and those without.

marsbit12/17 07:09

Grayscale's Latest Report: Top 10 Investment Themes for 2026 and the End of the 'Four-Year Cycle'

marsbit12/17 07:09

a16z: 11 Intersection Scenarios of AI and Cryptocurrency

The intersection of AI and crypto is reshaping the internet’s economic and structural foundations. As AI drives centralization, crypto offers decentralized, user-owned, and trust-minimized countermeasures. Key convergence areas include: 1. **Persistent Data & Context**: Blockchain enables AI to store and share user context across platforms, improving personalization and interoperability. 2. **Universal Agent Identity**: A portable, blockchain-based identity system allows AI agents to operate across ecosystems with built-in payment and reputation mechanisms. 3. **Proof of Personhood**: Decentralized identity protocols (e.g., Worldcoin) help distinguish humans from AI bots, ensuring authentic interactions. 4. **DePIN for AI**: Decentralized physical infrastructure networks democratize access to compute and energy resources for AI development. 5. **Agent-to-Agent Infrastructure**: Blockchain enables secure, interoperable interactions and payments between AI agents. 6. **Synchronizing “Vibe-Coded” Software**: Crypto provides a shared, incentivized layer to maintain compatibility across AI-generated software. 7. **Micro-Payments & Revenue Sharing**: Blockchain facilitates tiny, automated payments to content creators when AI uses their data. 8. **IP Registration & Provenance**: On-chain systems enable transparent IP ownership, licensing, and derivative use for AI-generated content. 9. **Compensated Web Crawling**: Crypto allows AI crawlers to pay websites for data access, while humans retain free access. 10. **Privacy-Preserving Ads**: Zero-knowledge proofs and micro-payments enable relevant, consensual advertising where users are compensated. 11. **User-Owned AI Companions**: Blockchain ensures users retain control and ownership over personalized AI relationships, avoiding platform dependency. Together, these intersections promise a more open, resilient, and user-centric digital future.

marsbit12/17 03:20

a16z: 11 Intersection Scenarios of AI and Cryptocurrency

marsbit12/17 03:20

Roundup: 11 Intersections of Artificial Intelligence and Cryptocurrency

The intersection of AI and crypto is reshaping the internet’s economic and structural foundations. This article explores 11 key areas where blockchain and AI converge to create more open, decentralized, and user-centric systems: 1. **Persistent Data & Context**: Blockchain enables AI to store and share user context across platforms, improving personalization and interoperability. 2. **Universal Agent Identity**: A portable, blockchain-based identity system allows AI agents to operate across ecosystems without platform lock-in. 3. **Proof of Personhood (PoP)**: Decentralized PoP (e.g., World ID) helps distinguish humans from AI, enhancing trust and reducing bot activity. 4. **DePIN for AI**: Decentralized physical infrastructure networks democratize access to compute and energy resources for AI development. 5. **Agent Interaction Infrastructure**: Blockchain protocols enable secure, autonomous interactions and payments between AI agents. 6. **Synchronizing “Vibe Coding”**: Crypto ensures compatibility and incentivizes maintenance of AI-generated software across evolving systems. 7. **Micro-payments & Revenue Sharing**: Blockchain facilitates tiny, automated payments to content creators based on AI-driven attribution. 8. **IP Registration & Provenance**: On-chain IP systems enable transparent ownership and new licensing models for AI-generated content. 9. **Compensated Web Crawling**: Crypto allows AI crawlers to pay websites for data access, preserving free access for humans. 10. **Privacy-Preserving Ads**: Zero-knowledge proofs and micro-payments enable relevant, consensual advertising without violating privacy. 11. **User-Owned AI Companions**: Blockchain ensures user control and censorship-resistant relationships with personalized AI agents. Together, these intersections aim to balance AI’s centralizing tendencies with crypto’s decentralized, user-owned ethos.

深潮12/17 02:19

Roundup: 11 Intersections of Artificial Intelligence and Cryptocurrency

深潮12/17 02:19

Abandoning Mining for the Cloud: Bitcoin Miners Reshape Business Models in the AI Era

Bitcoin miners are facing a survival crisis due to declining Bitcoin prices and rising operational costs, with the average cost to mine one Bitcoin now exceeding its market value. In response, many are pivoting to leasing data center space to major tech companies for AI computational needs. This shift leverages their existing infrastructure—including power capacity, cooling systems, and high-performance hardware—to meet the explosive demand for AI data processing. Companies like Core Scientific have successfully transitioned, turning losses into profits by repurposing their facilities. This move not only provides stable revenue streams but also enhances the industry’s overall resilience, signaling a broader evolution from pure cryptocurrency mining toward diversified digital asset technology services.

比推12/16 13:19

Abandoning Mining for the Cloud: Bitcoin Miners Reshape Business Models in the AI Era

比推12/16 13:19

From Mining to Prediction Markets: CoinShares' 2026 Crypto Roadmap

CoinShares' 2026 Crypto Roadmap highlights a significant shift from speculative investments to utility-driven projects. Key trends include a strong recovery in crypto VC funding, which has surpassed 2024 levels, with capital concentrating on large-scale deals focused on real-world utility and cash flow. Four major investment themes for 2026 are identified: RWA (especially stablecoins), AI-integrated consumer applications, retail-focused on-chain investment platforms, and Bitcoin utility infrastructure. Prediction markets, led by platforms like Polymarket, have evolved into mainstream information tools, demonstrating high accuracy and growing institutional adoption, notably with ICE's strategic investment. Bitcoin mining is undergoing a fundamental transformation, with companies pivot to high-profit HPC/AI data centers, expected to reduce mining revenue to under 20% by late 2026. Future mining will diversify into models led by ASIC manufacturers, modular operations, intermittent grid-balancing mining, and sovereign-state mining. The industry is moving towards practical, infrastructure-focused growth, distancing from meme coins and purely conceptual projects.

比推12/16 08:47

From Mining to Prediction Markets: CoinShares' 2026 Crypto Roadmap

比推12/16 08:47

CoinShares' 3 Major Crypto Predictions for 2026: Diverging Mining Models, Focused Investment Tracks, and the Rise of Prediction Markets

CoinShares' 2026 crypto outlook highlights three major trends: mining diversification, focused investment sectors, and the rise of prediction markets. VC funding has strongly recovered, with capital concentrating on high-utility projects rather than memes. Key investment areas for 2026 include RWA (especially stablecoins), AI-powered consumer crypto apps, retail-friendly on-chain investment platforms, and Bitcoin utility infrastructure. Prediction markets, led by Polymarket, have become mainstream information tools due to their accuracy and high post-election engagement. Institutional adoption is growing, evidenced by ICE’s strategic investment. Bitcoin miners are rapidly pivoting to high-profit HPC/AI data centers, with mining revenue share expected to drop below 20% by late 2026. Future mining will diversify into four models: ASIC manufacturer self-mining, modular temporary mining, intermittent grid-balancing mining, and sovereign state mining. Long-term, mining will likely be dominated by sovereign states and ASIC makers.

marsbit12/16 08:10

CoinShares' 3 Major Crypto Predictions for 2026: Diverging Mining Models, Focused Investment Tracks, and the Rise of Prediction Markets

marsbit12/16 08:10

Bitcoin Miners Are Abandoning 'Mining' for 'Cloud'

Facing a survival crisis due to declining Bitcoin prices and rising operational costs, Bitcoin miners are increasingly pivoting to AI data center leasing as a sustainable alternative. The core business model of Bitcoin mining has become economically unviable, with the average cost to mine one Bitcoin reaching approximately $74,600—exceeding its current market price of around $91,000, resulting in significant per-unit losses. Miners are leveraging their existing infrastructure—including high-performance GPUs, pre-approved large-scale power capacity, and advanced cooling systems—to meet the explosive demand from tech giants for readily available AI data center space. This shift not only provides a stable revenue stream but also reduces reliance on volatile crypto markets. Companies like Core Scientific have successfully transitioned, now operating about 200 MW of data center capacity with plans to expand further. Beyond data center leasing, some miners are exploring broader digital asset technology (DAT) business models. This industry-wide evolution signals a move toward greater resilience and maturity, as weaker pure-play miners exit and leading firms diversify into integrated service providers.

深潮12/16 03:29

Bitcoin Miners Are Abandoning 'Mining' for 'Cloud'