# Applications的所有文章

在 HTX 新聞中心流覽與「Applications」相關的最新資訊與深度分析。潘蓋市場趨勢、專案動態、技術進展及監管政策，提供權威的加密行業洞察。

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era This article analyzes the AI industry through a five-layer "AI stack" framework: energy, chips, cloud infrastructure, models, and applications. It argues that while public attention focuses on the top application layer (e.g., ChatGPT), the vast majority of capital investment and profits are currently concentrated in the underlying infrastructure layers. Key points include: - An estimated $700 billion in annual capital expenditure is flowing into AI infrastructure (energy, chips, data centers), not applications. - Infrastructure companies (Nvidia, TSMC, ASML) show massive profits and near-monopolies, while model companies (OpenAI, Anthropic) experience rapid revenue growth but burn enormous cash due to compute costs. - Historical parallels are drawn to the electricity revolution and internet infrastructure boom, where infrastructure builders captured most early value. - The article advises investors to focus on infrastructure layers currently generating concentrated profits, while acknowledging future value may shift to applications as the market matures. - Risks include capital misallocation, supply chain concentration, and efficiency breakthroughs (like DeepSeek's lower-cost models) that could disrupt current assumptions. The conclusion emphasizes understanding this layered structure, tracking capital flow, and participating at appropriate levels based on risk tolerance and expertise.

marsbit03/16 08:17

From Power to Chips: How Ordinary People Can Participate in the Wealth Opportunities of the AI Era

marsbit03/16 08:17

NVIDIA's Jensen Huang Latest Article: AI Is a Five-Layer Cake, Each Layer Represents a Trillion-Dollar Opportunity

AI is a five-layer infrastructure stack that represents a fundamental shift in computing, moving from pre-recorded software to real-time intelligence generation. The layers are: Energy (the foundational layer converting power into computation), Chips (processors enabling massive parallel computation), Infrastructure (AI factories orchestrating hardware systems), Models (AI systems understanding diverse domains like biology, chemistry, and language), and Applications (where economic value is created in fields like drug discovery, robotics, and autonomous vehicles). Each successful application pulls demand through all underlying layers. This industrial transformation requires trillions in infrastructure investment and a skilled workforce, driving global growth. AI has now crossed a usability threshold, with models generating real economic value and open-source initiatives accelerating adoption. The scale of this build-out is unprecedented, positioning AI as critical infrastructure that will be built and used by every company and nation.

比推03/11 18:47

NVIDIA's Jensen Huang Latest Article: AI Is a Five-Layer Cake, Each Layer Represents a Trillion-Dollar Opportunity

比推03/11 18:47

NVIDIA's Jensen Huang Latest Article: The 'Five-Layer Cake' of AI

NVIDIA's Jensen Huang articulates AI not merely as a software application but as a fundamental infrastructure, comparable to electricity or the internet, in a layered "five-layer cake" structure. This stack begins with **Energy** as the foundational constraint, powering real-time intelligence generation. Above it, **Chips** convert energy into computational power efficiently. The **Infrastructure** layer comprises data centers and systems that function as "AI factories." **Models** form the next layer, processing diverse data types like language, biology, and physics. At the top, **Applications**—such as drug discovery, autonomous vehicles, and robotics—create economic value. Huang emphasizes that AI is an industrial-scale transformation, driving massive global infrastructure expansion requiring trillions in investment and a skilled workforce—from electricians to network technicians—beyond just computer scientists. He notes that AI has recently crossed a threshold: models are now reliable enough for widespread use, reducing hallucinations and improving reasoning, which accelerates real-world applications. Open-source models, like DeepSeek-R1, further propel growth across the entire stack. This infrastructure revolution will reshape energy consumption, manufacturing, labor, and economic growth. Every company and country will participate, though the field remains early-stage, with vast opportunities and responsibilities ahead.

marsbit03/10 14:18

NVIDIA's Jensen Huang Latest Article: The 'Five-Layer Cake' of AI

marsbit03/10 14:18

The Hidden War Behind Stablecoins: Issuers, Applications, and Users—Who Will Be the 'Biggest Winner'?

The article explores the intense competition among stablecoin issuers, applications, and users over the lucrative profits generated by stablecoins. Issuers like Tether and Circle earn significant risk-free returns by investing user funds in cash equivalents, creating a highly profitable business model. However, applications (wallets, exchanges, DeFi protocols) that control user relationships demand a share of these profits, leveraging their distribution power to negotiate revenue-sharing agreements or even launch their own branded stablecoins (e.g., Aave’s GHO or PayPal’s PYUSD via white-label services). Users, especially in developed markets, increasingly expect yield on their stablecoin holdings, pressuring applications to offer returns. This dynamic creates a three-way tug-of-war, with applications caught between profit-retentive issuers and yield-seeking users. The author suggests that users may ultimately benefit the most from this competition, gaining a larger share of the profits as the ecosystem evolves.

marsbit02/17 13:09

The Hidden War Behind Stablecoins: Issuers, Applications, and Users—Who Will Be the 'Biggest Winner'?

marsbit02/17 13:09

Mobile: The Next Battleground for Solana

The era of competing solely on blockchain performance and technical roadmaps is over. Layer-1 blockchains must now compete at the top of the application stack—focusing on applications and users rather than just infrastructure. Solana is well-positioned to lead this shift by targeting the Internet Capital Market (ICM), where capital formation happens at scale, especially on mobile devices. Unlike neutral backend infrastructures of the past, L1s now face competition from regulated entities, high-performance tech, and financial giants. Centralized crypto apps like Binance and Coinbase have built their own chains to capture more value, while new chains from companies like Stripe and Circle leverage existing distribution channels. To stay competitive, established blockchains must adopt opinionated approaches to their tech stack usage. Solana’s performance and foundational components make it an ideal default operating system for mobile crypto applications. However, the current on-chain experience remains fragmented and browser-based. Solana Labs, with its mobile-focused initiatives like Solana Mobile and the recent SKR token, is uniquely equipped to drive ICM adoption on mobile. By building vertically integrated application that reflects its design philosophy—integrating DEXs, perpetuals, and payments—Solana Labs can demonstrate large-scale capital formation in action. While some ecosystem developers may fear competition, Solana’s permissionless nature ensures a level playing field. Solana Labs’ efforts can benefit the entire network by highlighting and integrating ecosystem components in ways independent apps cannot, ultimately making the ecosystem more competitive. The winners in crypto over the next five years will be determined by which core teams make the right opinionated decisions to win at the top of the stack—and Solana is poised to lead in mobile ICM.

比推01/28 20:50

Mobile: The Next Battleground for Solana

比推01/28 20:50

2025: The Great Historical Shift of Web3

By 2025, Web3 has transitioned from an infrastructure-focused era to an application-driven one, marking the end of its "adolescence." Key enablers include significantly improved blockchain performance (3400+ TPS), near-zero transaction costs, and clearer regulatory frameworks in regions like the U.S. and Hong Kong. This shift allows real economic value to move from network layers to applications, with three core use cases emerging: 1) **Assets**: Stablecoins, RWA, and on-chain payments form the largest adoption gateway, enabling fast global settlements and real-yield distribution. 2) **Markets**: Platforms like Hyperliquid and Solana now drive 53% of transactional volume, fueling liquidity and infrastructure optimization. 3) **Compute & Coordination**: Blockchain empowers AI through decentralized computation, model verification, and data traceability, positioning crypto as an AI coordination layer. Industry experts (a16z, IOSG, 1kx) confirm that constraints have lifted, allowing product value and real-world business models to take center stage. The application era of Web3 has begun.

marsbit12/30 06:08

2025: The Great Historical Shift of Web3

marsbit12/30 06:08

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