# 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.

From 24 to 1 to 5: YC No Longer Invests in Crypto, But Crypto Hasn't Disappeared

The article analyzes Y Combinator's shifting investment focus in crypto-related startups, highlighting a transition from direct crypto infrastructure to applications leveraging crypto as an underlying utility. Key data shows YC's crypto investments peaked in 2022 with 44 companies (e.g., DeFi protocols, NFT infrastructure), then sharply declined to just 1 in Summer 2024. The Winter 2026 batch includes 5 crypto-related companies, but they represent a fundamental shift: none are building traditional crypto products like chains or protocols. Instead, they focus on practical solutions where crypto is invisible to end-users. Examples include Unifold (Stripe-like API for crypto deposits), SpotPay (stablecoin-based neobank for cross-border payments), and Sequence Markets (execution engine for digital assets). Two notable projects are highlighted: Orthogonal, building a payment gateway for AI agents using crypto for machine-to-machine microtransactions, and Forum, creating a regulated "attention exchange" to trade quantified cultural focus, potentially involving tokenization. YC's recent Request for Startups (RFS) guidance confirms this trend, explicitly prioritizing "stablecoin financial services" and "new financial primitives" over generic crypto/Web3 themes. The author concludes that YC is no longer investing in crypto for its own sake, but in companies using crypto as a tool to solve real problems—often without users realizing it. This signals a maturation where crypto's value lies in becoming embedded infrastructure for other industries, particularly AI and finance, rather than a standalone ecosystem.

marsbit02/14 10:34

From 24 to 1 to 5: YC No Longer Invests in Crypto, But Crypto Hasn't Disappeared

marsbit02/14 10:34

Consensus HK Observation: What Consensus Emerged from the First Major Conference of 2026?

Consensus HK 2026 marked a pivotal moment, signaling a shift from crypto’s “wild west” era to a mature phase driven by institutional adoption, AI integration, and sovereign digital currency strategies. Three key themes emerged: First, AI is evolving into true “silicon-based life” with independent financial agency. AI agents are now autonomously transacting, issuing tokens, and even employing humans via blockchain networks like Ethereum and Solana, turning crypto into AI’s native banking system. Second, a global stablecoin war is intensifying. Hong Kong is leading an “onshore counterattack” by phasing out offshore dollar stablecoins like USDT and preparing to launch licensed HKD stablecoins. This reflects broader geopolitical tensions as regions like Europe and Asia push sovereign alternatives to dollar-dominated digital currencies. Third, mass adoption hinges on “invisible” crypto integration. The focus has shifted from infrastructure competition to real-world utility. Applications like seamless payment systems (e.g., PayPal’s PYUSD and Aeon Pay) are embedding crypto silently into everyday use, emphasizing practicality over speculative hype. The takeaway: Crypto is now a fusion of state power, decentralized tech, and AI-driven finance—a more rigorous, system-level transformation with less room for fringe players but greater potential for global impact.

marsbit02/14 07:40

Consensus HK Observation: What Consensus Emerged from the First Major Conference of 2026?

marsbit02/14 07:40

Less Than a Year in Office and Leaving Again: Why Are Core Figures of the Ethereum Foundation Departing Once More?

Tomasz Stańczak, the co-executive director of the Ethereum Foundation (EF), has announced his resignation, just 11 months after taking the role. He was appointed alongside Hsiao-Wei Wang in March 2025, replacing long-time leader Aya Miyaguchi amid community criticism that EF was too slow and disconnected. Stańczak, founder of core Ethereum client Nethermind, was brought in to make EF more decisive and execution-focused. During his tenure, he streamlined operations, refocused strategy on Layer-1 scaling, accelerated upgrade timelines, and pushed new initiatives in AI integration and privacy. His departure hints at internal tension. In his statement, Stańczak suggested his ability to operate independently within EF diminished as the leadership became more self-sufficient. He expressed a desire to return to hands-on product building, specifically in AI/blockchain convergence, echoing Ethereum’s early experimental spirit. He is replaced by Bastian Aue, a low-profile internal figure focused on "principled" decision-making aligned with "cypherpunk values," signaling a potential shift back towards a coordination-focused rather than execution-driven approach. This leadership change comes at a critical time. EF is preparing to release key proposals on "Lean Ethereum" and future roadmaps, while Ethereum faces intense competition, Layer-2 fragmentation, and market pressure—with its price risk falling below inflation-adjusted 2018 levels.

marsbit02/14 03:46

Less Than a Year in Office and Leaving Again: Why Are Core Figures of the Ethereum Foundation Departing Once More?

marsbit02/14 03:46

a16z's Latest In-depth Analysis on the AI Market: Is Your Company Still "Working with Blood"?

In a16z's latest analysis, AI companies are experiencing unprecedented growth, with top performers expanding at a 693% YoY rate—2.5x faster than non-AI firms—while spending less on sales and marketing. These companies achieve $500k-$1M ARR per employee, far exceeding the traditional SaaS benchmark of $400k, signaling a fundamental shift in business models. Key drivers include: - **Product-led growth**: High customer demand reduces reliance on traditional sales. - **Efficiency gains**: AI-native tools boost development speed 10-20x, reshaping team structures. - **Business model evolution**: Pricing is shifting from subscription/consumption to outcome-based models (e.g., charging per resolved task). Legacy companies face a critical choice: adapt fully to AI-driven workflows ("using electricity") or risk obsolescence ("using blood"). Despite CEO enthusiasm, enterprise adoption lags due to change management challenges. Early adopters like Chime and Rocket Mortgage report massive cost savings (60% in support, $40M annually). The AI infrastructure build-out, led by hyperscalers (e.g., AWS, Microsoft), requires trillions in capex but is demand-driven with no "dark GPU" surplus. AI revenue growth could soon eclipse the entire software industry, with model companies like OpenAI and Anthropic already capturing nearly half of 2025’s new software revenue. This marks the start of a 10-15 year transformation cycle, where companies embracing AI-native paradigms will define the next era.

marsbit02/14 00:43

a16z's Latest In-depth Analysis on the AI Market: Is Your Company Still "Working with Blood"?

marsbit02/14 00:43

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