# 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.

Arm Steps Into Chip Manufacturing Itself | Rewire Morning News

Arm, after 35 years of only licensing its architecture, has begun manufacturing its own data center CPU, the 136-core Neoverse V3, with Meta as its first major client. This strategic shift aims to capture a larger market share and achieve significant revenue growth. In a separate legal battle, Anthropic is challenging the Pentagon's decision to ban federal agencies from using its AI, a move the presiding judge called "disturbing." Conversely, Palantir's military AI platform received a massive $13.4 billion funding commitment from the Pentagon, highlighting a stark divergence in the U.S. government's approach to AI militarization. Four tech billionaires presented conflicting visions on AI's impact. Perplexity's CEO and Palantir's CEO suggested AI-induced job loss is beneficial, while an OpenAI investor predicted 80% of jobs could be replaced by 2030. In contrast, BlackRock's CEO warned the greater threat is AI exacerbating wealth concentration. Circle's stock plummeted 18% due to proposed legislation threatening its business model, while Tether announced its first full audit by a Big Four firm, signaling a push for legitimacy amidst tightening regulations. OpenAI shut down its Sora video app, leading Disney to withdraw a $1 billion investment. An investor filing also revealed OpenAI now lists its major shareholder, Microsoft, as a top risk factor, indicating a strategic cleanup ahead of a potential IPO. Other notable news includes SK Hynix's record $8 billion order for EUV machines from ASML, Huawei's launch of a new AI accelerator, and Broadcom's warning that TSMC's production capacity is a major bottleneck for AI chips.

marsbit03/25 04:31

Arm Steps Into Chip Manufacturing Itself | Rewire Morning News

marsbit03/25 04:31

Token Is Completely on Fire, Blockchain Is Heartbroken

Token, a term once central to blockchain's vision of decentralization and economic transformation, has now been popularized by the AI industry as a unit of computation and billing. With the rise of products like OpenAI's ChatGPT and Deepseek, Token has become widely recognized as a measure of API calls and computational power—essentially a "currency for compute." This shift has left the blockchain sector in an ironic position: while it long struggled to explain Token's potential for revolutionizing ownership and community governance, AI has repurposed the term into a practical, everyday concept devoid of cryptographic complexity. The blockchain community once championed "Tokenization of Everything," aiming to convert real-world assets and labor into tradable tokens. Instead, AI achieved a form of tokenization by breaking down text, audio, and video into Tokens for processing—without requiring users to manage private keys or understand consensus mechanisms. This practical adoption contrasts sharply with blockchain’s association with speculation and scandals, as seen in the rise and fall of NFTs and memecoins. Amid a broader crisis of faith in blockchain’s promise—with many innovators expressing disillusionment over the industry’s shift toward speculation—AI’s rapid growth has intensified this sense of irrelevance. However, there are positive signs: traditional assets like U.S. Treasuries and stocks are increasingly being tokenized, attracting major financial institutions like BlackRock and Fidelity. This may signal Token’s return to its original purpose as a vehicle of value, even as AI dominates its popular meaning.

marsbit03/25 02:14

Token Is Completely on Fire, Blockchain Is Heartbroken

marsbit03/25 02:14

HTX Research Latest Report Deciphers OpenClaw: The Battle for Execution Entry and Huobi HTX's AI Strategic Path

HTX Research, the analytical arm of Huobi HTX, has released a report titled "From the Rise of OpenClaw: How AI Begins to Compete for the True Work Interface." The report analyzes the emerging trend of AI evolving from a conversational tool into an execution layer, using the rapid growth of the open-source project OpenClaw as a key example. OpenClaw is a personal AI assistant that operates on a user's local device. It receives tasks through messaging platforms like WhatsApp, Telegram, Slack, and others, and can execute actions by integrating with files, browsers, calendars, email, and terminals. This signifies a major shift: AI is moving beyond answering questions to actively performing tasks, competing for the "execution interface" of the digital age. The report identifies five converging trends enabling this shift: sufficient model capability for multi-step tasks, the high frequency of messaging apps as a natural interface, open-source distribution, self-hosted models addressing data privacy, and a strong market need for small teams to achieve more with fewer resources. It highlights a particular fit in the Chinese market, where many small and medium teams operate on message-driven platforms like WeCom and Feishu. Some Chinese cities have already begun offering support policies to foster an OpenClaw ecosystem. However, the report also outlines three major hurdles for such tools to become reliable infrastructure: security risks (noting recent malware incidents), the need for robust governance and auditing, and the necessity for industry-specific templates to move beyond early adopters. Complementing this analysis, the report details Huobi HTX's own AI strategy. Rather than building an execution layer, HTX is focusing on becoming a "platform service entrance and ecosystem connector." Its proprietary AINFT product aggregates major AI models (OpenAI, Anthropic, Google) into a single access point for users, with crypto-native features like TronLink wallet sign-ins and a pay-as-you-go model instead of subscriptions. HTX's competitive strategy is differentiated by its focus on integrating AI directly into its trading platform. Its "HTX AI Skills" currently cover spot and futures trading execution, with plans to expand into market analysis, intelligence, and a built-in assistant, aiming to create a closed loop for user experience. In conclusion, while the move of AI into the execution layer is still in its early stages with significant challenges ahead, the direction is clear. The next phase of AI competition will extend beyond model performance to encompass control of interfaces, permission governance, and skill ecosystems. Huobi HTX's early布局 in this area presents a notable case study for how crypto platforms can integrate AI as a core, operational asset.

marsbit03/24 06:21

HTX Research Latest Report Deciphers OpenClaw: The Battle for Execution Entry and Huobi HTX's AI Strategic Path

marsbit03/24 06:21

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