# 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.

Interactive Tutorial | Perle Labs, Which Raised $17.5 Million, Launches Season 1 Points Campaign

Perle Labs, an AI training data platform backed by $17.5 million in funding, has launched its Season 1 points campaign. The platform, which uses human experts to perform verifiable, on-chain data labeling on Solana, allows users to earn points by completing tasks. The interactive tasks, available on their app, include: a legal contract classification quest (1,000 points), social media account bindings (500 points), a product tagging quest from complaint emails (1,000 points), a meeting caption quest requiring audio recordings (1,000 points, pending manual review), and a medical specialty classification quest (1,000 points). Each task requires connecting a Solana wallet with some SOL for transaction fees. Users can also earn a 10% referral bonus from invited friends. Points and badges can be tracked in the "Earnings" section.

Odaily星球日报01/22 01:59

Interactive Tutorial | Perle Labs, Which Raised $17.5 Million, Launches Season 1 Points Campaign

Odaily星球日报01/22 01:59

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

When AI Meets Crypto: 11 Emerging Convergence Scenarios The integration of AI and crypto is reshaping the internet's economic model, offering decentralized, user-owned alternatives to centralized control. Key convergence areas include: 1. Persistent data and interaction context via blockchain, enabling AI to remember user preferences across sessions and platforms. 2. Universal "passports" for AI agents, allowing portable, interoperable identity and payment capabilities. 3. Forward-compatible proof-of-human systems (e.g., Worldcoin) to distinguish humans from AI bots. 4. DePINs (Decentralized Physical Infrastructure Networks) for scalable, resilient AI compute resources. 5. Blockchain-based protocols for AI-to-AI interactions, enabling autonomous transactions and workflows. 6. Synchronization layers for AI-generated applications to maintain compatibility amid rapid software evolution. 7. Micropayments and revenue-sharing models to compensate content creators when AI uses their data. 8. Blockchain IP registries (e.g., Story Protocol) for transparent attribution and licensing in generative AI. 9. Compensating web crawlers via crypto payments, ensuring fair compensation for data usage. 10. Privacy-preserving, personalized advertising using zero-knowledge proofs and micro-incentives. 11. User-owned AI companions hosted on censorship-resistant platforms for controlled, persistent relationships. These innovations aim to create a more open, equitable, and resilient internet by leveraging crypto's decentralized trust and AI's capabilities.

marsbit01/22 00:41

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

marsbit01/22 00:41

Bitcoin Pain May Come First, But Tom Lee Says They’d Still Buy The Dip

Fundstrat's Tom Lee warns investors to brace for a difficult start to 2026, citing political friction and tariff threats that could trigger a 15-20% correction in both stocks and Bitcoin. Despite near-term pain, Lee advises disciplined dip-buying, as a dovish Fed and the end of quantitative tightening could set the stage for a late-year rebound. He notes crypto markets remain fragile due to recent deleveraging, but a new Bitcoin all-time high would signal recovery. Over $1.8 billion was liquidated in a recent 48-hour selloff, erasing earlier gains. Lee maintains long-term optimism for AI and blockchain.

bitcoinist01/21 22:01

Bitcoin Pain May Come First, But Tom Lee Says They’d Still Buy The Dip

bitcoinist01/21 22:01

2025's New Crypto Unicorns: 8 Companies Across Payments, AI, and Other Sectors Make the List

In 2025, despite a severe market downturn with a 41% drop in funded projects, eight crypto companies achieved unicorn status (valued over $1 billion), reflecting key industry trends. **Nous Research** focuses on decentralized AI, raising $50M at a $1B valuation led by Paradigm. **RedotPay**, a Hong Kong-based stablecoin payment firm, raised over $194M across three rounds, processing $10B+ annually. **Kalshi**, a compliant prediction market platform, raised $1.85B, reaching a $11B valuation, with trading volume surging 1108% to $23.8B. **Lighter**, a decentralized perpetual exchange, raised $68M at a $1.5B valuation and launched its token LIT. **Flying Tulip**, an all-in-one DeFi protocol by Andre Cronje, raised $200M with unique investor redemption rights. **Sygnum**, a regulated Swiss crypto bank, raised $58M, exceeding a $1B valuation. **Tempo**, a high-performance Layer-1 for payments developed by Stripe and Paradigm, raised $500M. **Zama**, a privacy protocol using fully homomorphic encryption, raised $57M at a $1B+ valuation and conducted a token sale. These companies highlight growth in AI, payments, DeFi, and privacy solutions amid a challenging market.

marsbit01/21 16:05

2025's New Crypto Unicorns: 8 Companies Across Payments, AI, and Other Sectors Make the List

marsbit01/21 16:05

Ripple President Long Unveils Her 2026 Crypto Predictions

Ripple President Monica Long predicts that by 2026, institutional crypto adoption will shift decisively from pilots to production stage, driven by four key trends: stablecoins, tokenization, custody consolidation, and AI automation. She expects stablecoins like Ripple USD (RLUSD) to become the foundational global settlement layer, especially in B2B payments, citing growing regulatory support and significant idle corporate capital. Tokenization will drive institutional adoption, with over $1 trillion in digital assets on balance sheets and half of Fortune 500 companies formalizing digital asset strategies. Custody services will consolidate as the sector matures, with major banks expanding custody relationships. Finally, AI and blockchain will converge to automate treasury and risk management through smart contracts and privacy-preserving tech like zero-knowledge proofs.

bitcoinist01/21 15:36

Ripple President Long Unveils Her 2026 Crypto Predictions

bitcoinist01/21 15:36

Crypto and AI Need Female Executives

The article "Crypto and AI Need Female Executives" highlights the rising prominence of women in leadership roles within the AI industry and draws parallels to their earlier influence in the crypto sector. It cites examples such as CZ Chen, COO of Manus (acquired by Meta), and MiniMax’s 31-year-old COO Yun Yeyi, who played a crucial role in the company’s IPO and commercial strategy. Globally, figures like Daniela Amodei of Anthropic, Lila Ibrahim of DeepMind, and Mira Murati of Thinking Machines Lab further illustrate this trend. The author notes that both crypto and AI are highly technical fields often led by founders strong in engineering but weaker in communication, marketing, and public relations—areas where female executives excel. Women like Binance’s He Yi and Matrixport’s Cynthia Wu previously helped bridge the gap between complex technology and mass adoption in crypto. The piece argues that the presence of women in operational and marketing roles signals an industry’s shift from pure technological development to commercialization and mainstream acceptance. As AI continues to attract top female talent, crypto—now lacking in narrative-building and user-friendly leadership—risks being left behind. The movement of talented female executives toward AI, the author concludes, is a marker of the industry’s growing maturity and commercial viability.

比推01/21 14:00

Crypto and AI Need Female Executives

比推01/21 14:00

A New Market Trend Forms as Ozak AI Outpaces Competitors With Unusually Strong Retail Participation

Ozak AI ($OZ), an AI-powered crypto project combining predictive intelligence and DePIN, is gaining strong retail investor traction. Its presale has raised $5.80 million by selling 1.1 billion tokens at $0.014 each, with a $1.00 listing target. The project distinguishes itself through real-world utility, including AI-driven analytics, decentralized data processing, and cross-chain compatibility. Key partnerships with Hive Intel, Weblume, and Meganet enhance its ecosystem and technical capabilities. Retail investors are attracted to its transparent development, low entry price, and measurable progress, signaling a shift toward community-driven growth in early-stage crypto projects.

TheNewsCrypto01/21 13:20

A New Market Trend Forms as Ozak AI Outpaces Competitors With Unusually Strong Retail Participation

TheNewsCrypto01/21 13:20

Crypto and AI Need Female Executives

Recent growing prominence in the AI industry is the rise of female executives in key operational and commercial roles. Recent examples include CZ Chen, COO of Manus (acquired by Meta for $2 billion), and MiniMax’s 31-year-old COO Yun Yeyi, now worth HK$4.8 billion. Similar trends were observed during crypto’s heyday with leaders like He Yi (Binance), Lisa Loud (BitMEX), and Cynthia Wu (Matrixport). Both AI and crypto share a dual nature: technically cutting-edge yet often led by technical founders who lack strong commercial, narrative, or public-facing skills. Female COOs and CMOs excel as bridges—translating complex technology into market-ready products and building trust through communication and empathy. Figures like Daniela Amodei (Anthropic) and Yun Yeyi have been instrumental in driving commercialization and mass adoption. The migration of such talent signals a sector’s maturation and commercial viability. As AI enters its productization phase, crypto’s failure to attract or retain similar talent may hinder its transition beyond niche technical circles toward mainstream relevance. Where skilled female leaders go, value follows; where they leave, stagnation often remains.

marsbit01/21 10:29

Crypto and AI Need Female Executives

marsbit01/21 10:29

Phoenix Finance In-Depth Analysis: From "Asset Encapsulation" to "Native Finance", Reconstructing the Yield Logic of RWA

Phoenix Finance is not merely an asset encapsulation protocol but a comprehensive native financial system for Real World Assets (RWA). It addresses the current fragmentation and inefficiency of the $170 billion RWA market on-chain, where assets remain siloed and disconnected from high-speed DeFi activities. Phoenix introduces a unified settlement layer (PUSD) and an intelligent yield engine to transform static real-world cash flows into composable DeFi products. Key challenges in the RWA space include liquidity fragmentation (e.g., tokenized bonds on Ethereum cannot circulate on Solana), idle capital, and mismatched yield cycles (RWA pays periodically, while DeFi demands block-level compounding). Phoenix bridges this gap with its Intelligent Execution Layer. The product suite includes: - PUSD: A cross-chain native stablecoin enabling frictionless transfers without traditional bridges. - yPUSD: A base yield layer offering automated compounding returns from fragmented RWA repayments. - PYN: Fixed-term NFT notes (7–181 days) that provide alpha returns by matching specific RWA maturity cycles. Core mechanisms powering Phoenix: 1. Teleporter: A unified credit protocol enabling native minting of PUSD on any chain by mapping cross-chain collateral, eliminating fragmentation. 2. Dynamic Reserve Stack (80/15/5): - 80% liquidity layer (USDC/USDT, short-term Treasuries) for instant redemptions. - 15% yield layer (high-grade private credit/structured RWA) for returns. - 5% buffer layer (protocol revenue) as first-loss protection. 3. AI Controller: Adjusts PYN APY dynamically to align on-chain liquidity demand with off-chain asset maturities, balancing the system via market incentives. Transparency and security are ensured through: - Real-time Proof of Reserves for all assets. - Phoenix Hunters: A keeper network that proactively liquidates undercollateralized positions at ~95% value to prevent bad debt. - Fully verifiable yield sources for yPUSD, avoiding black-box operations. Phoenix aims to evolve RWA from a static "asset museum" into a dynamic, efficient on-chain economy.

marsbit01/21 07:01

Phoenix Finance In-Depth Analysis: From "Asset Encapsulation" to "Native Finance", Reconstructing the Yield Logic of RWA

marsbit01/21 07:01

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