# 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.

US Stock Market Signal Master Serenity: Leading Institutions in Low Position Building, Annual Return 3840%

Serenity, an anonymous online trading figure known as the "Stock Call King," has gained significant attention by reportedly achieving staggering annual returns of 3840% in 2026 and 2256% over two years. Operating primarily on social media platform X, he shares free investment insights focused on the AI and semiconductor supply chains. His core strategy, the "Chokepoint" investment theory, involves identifying small, critical "bottleneck" companies within the AI infrastructure that are essential yet undervalued before major institutional investment. Examples include his multi-year call on stock AXTI, which saw gains exceeding 10,000%. Despite his popularity, Serenity's true identity and the specific dollar amounts behind his percentage gains remain undisclosed, leading to some skepticism. Critics question if he manipulates low-market-cap stocks, while supporters see him as disrupting traditional finance by providing free, high-quality research. He advocates against paid communities and emphasizes that his goal is to empower retail investors with information before institutional players act. Whether Serenity represents a genuine market visionary or a sophisticated narrative-driven player remains an open question debated by his followers and observers.

marsbit05/26 03:03

US Stock Market Signal Master Serenity: Leading Institutions in Low Position Building, Annual Return 3840%

marsbit05/26 03:03

Investors Frantically Snap Up AI Firms with 'No Profits': A High-Stakes Gamble on 'the Right to Define the Future'

"Investors are pouring billions into Chinese AI startups with no profits, betting on the future of the industry. A state-backed fund is reportedly in talks to lead DeepSeek's funding at a $45B valuation, just weeks after it was valued at $10B. Along with companies like Zhipu AI, MiniMax, and Kimi (backed by Meituan and Alibaba), their combined valuation exceeds $140B. This isn't a typical venture capital play. Investors are paying for 'future definition rights'—a chance to set the standards for the next tech era. Morgan Stanley notes a 6-12 month window for this scarcity premium before more AI companies go public. Despite massive losses, these companies show strong growth. Zhipu AI's API revenue grew 60x, Kimi's annual recurring revenue doubled to $200M in a month, and MiniMax turned its gross margin positive, with over 70% of revenue from overseas. Their valuations vastly exceed profitable firms like iFlytek. Crucially, technical progress underpins this growth. DeepSeek's latest model boasts costs just 1% of a leading competitor's, while Zhipu AI has raised API prices due to high demand. However, gaps with top global models remain. Tech giants like Tencent and Alibaba, investing heavily while describing their own AI efforts as 'leaky boats,' are also investing in these startups as a hedge. Key risks loom: the closing scarcity window, computing power bottlenecks limiting growth, and the sustainability of DeepSeek's cost-advantage model. With state capital now a major player, the success of these companies has become a strategic national concern. The next year will test if their soaring valuations can be justified by future profits."

marsbit05/26 02:06

Investors Frantically Snap Up AI Firms with 'No Profits': A High-Stakes Gamble on 'the Right to Define the Future'

marsbit05/26 02:06

Luffa Secures Strategic Investment from Hong Kong Listed Company Guofu Quantum, Post-Money Valuation Reaches $220 Million

On May 26, innovative tech company Luffa AI announced a strategic investment from Hong Kong-listed Guofu Quantum Innovation Ltd. (Stock Code: 00290.HK). Post-investment, Luffa AI's valuation reached $220 million. The two parties will engage in deep strategic collaboration across AI, quantum security, blockchain, and compliant finance to jointly explore the new frontier of AI+Quantum+Blockchain+FinTech. Luffa addresses internet fragmentation—where identities, value, and AI agents are locked within siloed platforms—by building a super-connector across three core dimensions. It leverages decentralized identity (DID), empowers AI agents, and uses on-chain governance for communities. Its content system transforms channels into programmable, tradable value containers for creators. An aggregation layer with its SuperBox mini-program platform, multi-chain wallet, LuffaPay, and multi-agent commercial protocols completes the ecosystem, connecting users, identities, assets, and value. As of February 2026, Luffa's ecosystem has seen rapid growth, surpassing 3 million global downloads, 2 million registered users, and 150,000 daily active users. Its core wallet and SuperBox platform are live, with validated use cases in prediction markets, AI games, RWA, and creator economies. In 2026, Luffa will focus on building an AI-driven Web3 ecosystem. This investment marks a key milestone for Luffa in privacy protection, smart interaction, and Web3 infrastructure. Guofu Quantum, with its expertise in quantum encryption and institutional finance, will provide technological backing to accelerate Luffa's global commercialization. Planned collaborations include joint R&D in AI-driven financial solutions, digital asset exploration, compliant RegTech development, and applying quantum security to blockchain. Luffa CEO Michael Liu stated the partnership will help "create a better network" where users truly own their data and privacy. Guofu Quantum CEO Yuan Tianfu highlighted this as a crucial step in merging quantum tech with AI and Web3.

marsbit05/26 01:44

Luffa Secures Strategic Investment from Hong Kong Listed Company Guofu Quantum, Post-Money Valuation Reaches $220 Million

marsbit05/26 01:44

TechFlow Intelligence Report: Huawei Unveils "Tao" Law, Semiconductor Sector Surges; Meta Cuts 10% of Workforce

"TechFlow Intelligence Brief": Huawei's new "Tau Law" in semiconductors and Meta's 10% layoffs headline today's tech landscape. In AI, breakthroughs include an AI solving 9 high-difficulty pure math problems for just a few hundred dollars each, and DeepSeek's new Reasonix programming agent challenging commercial models. However, research highlights a "constraint decay" issue in LLM-generated backend code. Open-source model Qwen 3.6 27B achieves high speeds on older GPUs, sparking debate on NVIDIA's future dominance. In Crypto/Web3, Ethereum Foundation plans to downsize, possibly reducing ETH selling pressure. Fake news about CZ ignited a meme coin frenzy, showing the market's sensitivity to celebrity narratives. DeFi sees a new trend in HELOC-backed Real World Asset (RWA) pools. The chip sector is stirred by Huawei's proposed "Tau (τ) Law," aiming for 1.4nm-equivalent performance by 2031 through architectural innovation, causing related stocks to surge. A report notes memory now constitutes nearly two-thirds of AI chip cost. Meanwhile, executives at 7 Chinese semiconductor firms sold shares after price peaks. Meta announces 10% layoffs as it pivots to AI. Google's CEO faced student protests over AI ethics during a speech, and the company controversially published a Chromium exploit before patching was complete. Xiaomi permanently banned installers for AC installation fraud. In US stocks, AMD is seen as a potential challenger to NVIDIA, while a survey reveals 99% of CEOs expect AI-driven layoffs within two years. Palantir secured a government contract for employee monitoring, raising privacy concerns. Macro developments include a 6% drop in WTI crude oil on hopes for reopened Hormuz Strait, and silver prices rising over 4%. Global oil inventories are nearing critical lows. New trends highlight a "audio prompt injection" attack targeting AI voice assistants via hidden commands, and CBS pausing takedowns of pirated Stephen Colbert episodes after public pushback. The underlying narrative connects AI's cost-effective problem-solving, widespread planned job displacement, and Huawei's challenge to Western tech hegemony, framing the AI and chip race as a broader contest over employment, geopolitics, and the very definition of intelligence.

marsbit05/25 10:50

TechFlow Intelligence Report: Huawei Unveils "Tao" Law, Semiconductor Sector Surges; Meta Cuts 10% of Workforce

marsbit05/25 10:50

NeoCloud Three Giants: NBIS, IREN, CRWV – Which One Has More Investment Value?

This conversation analyzes the three leading "Neocloud" companies—NBIS (Nebius), IREN, and CRWV (CoreWeave)—in the context of the AI compute boom. The core thesis is that a severe GPU shortage will persist for 3-5 years, creating a massive, durable opportunity for specialized GPU cloud providers to supplement hyperscalers like AWS and Azure. Key differentiators are highlighted: CoreWeave is the early leader with the highest activated power and revenue, focusing on high-value AI training. IREN possesses the largest locked-in power capacity (4.5 GW) but has only secured Microsoft as a major customer so far. Nebius is positioned as the long-term pick due to its unique focus on building an inference-focused software stack ("token factory") and its exceptional engineering-centric team, led by a mathematician CEO with a proven track record. The discussion debunks bearish narratives, noting that Nebius recently raised prices for H100/B200 GPUs by 30-70%, indicating strong pricing power and contradicting fears of rapid GPU depreciation. A simple revenue model is presented: 1 MW of power equates to ~$10M in annual revenue. Nebius's guidance of 5 GW by 2030 implies $50B in revenue, vastly exceeding current consensus. All three companies are expected to succeed in the near-to-medium term due to overwhelming demand. However, for long-term (5+ year) investment, the preference is for Nebius due to its team, software strategy, and valuable stakes in subsidiaries like ClickHouse. The conversation also identifies the networking layer (e.g., Arista Networks) as a critical, underappreciated adjacent opportunity in the AI infrastructure build-out.

marsbit05/25 10:29

NeoCloud Three Giants: NBIS, IREN, CRWV – Which One Has More Investment Value?

marsbit05/25 10:29

Microsoft to Discontinue Using Claude: Too Expensive, or a Calculated Move?

Microsoft is discontinuing internal access to the AI coding assistant Claude Code for its engineers, citing high costs and transitioning them to its own GitHub Copilot CLI. Reports indicate that Claude Code's usage-based pricing model led to significant expenses, with estimates of $500-$2000 per engineer monthly, prompting cost reviews even at large firms like Uber. While Microsoft officially attributes the move to cost, analysis suggests it may also be a strategic move. Microsoft allowed internal use of Claude Code for six months to benchmark it against Copilot, gathering feedback to improve its own product. This "experiment" highlights deeper challenges: Microsoft lacks a competitive in-house general-purpose AI model, heavily relying on external partners like OpenAI and Anthropic. Claude Code has gained substantial market traction, surpassing Copilot in features like context window size and task completion rates, and is eroding Microsoft's control over the developer ecosystem. The shift signals broader industry concerns over AI pricing models and the strategic risks of dependency on external, rapidly evolving AI tools.

marsbit05/25 10:28

Microsoft to Discontinue Using Claude: Too Expensive, or a Calculated Move?

marsbit05/25 10:28

Google Cracks Down on 'AI Poisoning'

Google has taken a strong stance against "AI poisoning," a new form of manipulation where advertisers subtly feed information to influence AI-generated answers like those in Google's AI Overview. Unlike traditional SEO, which aims for higher website rankings, Generative Engine Optimization (GEO) seeks to have a brand or product recommended within the AI's response itself. This is particularly valuable as AI summaries, often perceived as neutral and comprehensive, can shorten the consumer decision path and directly influence purchases. The article illustrates the issue with a "hot dog experiment," where fabricated content was quickly picked up and presented as fact by AI. GEO exploitation is potent because AI models aggregate information from various sources—reviews, articles, forums—and can mistake coordinated marketing campaigns for genuine consensus. This threatens the core credibility of search engines. While Google's updated spam policy now explicitly covers attempts to manipulate AI-generated content, enforcement faces challenges. Google can leverage its long experience fighting SEO spam, using penalties like ranking demotion. However, sophisticated "gray area" tactics, such as sponsored third-party reviews or industry reports, are harder to distinguish from legitimate promotion. Other AI players, like Microsoft, have taken a more open approach to GEO, viewing it as a new channel for brands. Ultimately, as AI becomes a primary information source, maintaining the trustworthiness of its answers is a critical challenge for all platforms.

marsbit05/25 10:07

Google Cracks Down on 'AI Poisoning'

marsbit05/25 10:07

NEAR Doubles: 3 Major Trends Become the 'Engine' for Token Price Surge

NEAR token price surged from around $1.24 in early May to over $2.5, with its market cap returning above $3 billion. This significant growth, occurring amidst broader market volatility, is attributed to three key factors. First, the AI narrative has been a major driver. NEAR co-founder Illia Polosukhin is a co-author of the seminal Transformer paper, the foundation of modern AI models like ChatGPT. NEAR has integrated AI capabilities into its ecosystem, notably through the Near.com super-app, positioning itself as a key decentralized AI infrastructure project. Endorsements from figures like Arthur Hayes further boosted market sentiment. Second, NEAR is enhancing its utility as a privacy-focused blockchain. With the launch of NEAR Intents for cross-chain transactions, privacy features like Confidential Payments and Confidential Intents have become critical to protect users from MEV attacks. These functionalities allow private transfers of assets like ETH and BTC across more than 35 chains, balancing privacy with usability and appealing to institutional and enterprise users. Third, a new tokenomics mechanism is providing buy-side pressure. Following the full unlocking of its initial supply in late 2025, NEAR now employs a fee-burn model. All protocol fees generated by the NEAR Intents layer are used to buy back and effectively remove NEAR tokens from circulation. With NEAR Intents TVL exceeding $80 million, this creates consistent monthly buybacks estimated around $3 million, reducing sell pressure. Additional technical upgrades planned for mid-2026, including dynamic re-sharding and post-quantum security, aim to further strengthen the network's scalability and robustness.

marsbit05/25 08:31

NEAR Doubles: 3 Major Trends Become the 'Engine' for Token Price Surge

marsbit05/25 08:31

AI Impact on SaaS Software Stocks: Deconstructing the Bottom-Fishing Logic of Salesforce, ServiceNow, and Snowflake

"AI Nightmare for SaaS Stocks: Unpacking the Bottom-Fishing Logic for Salesforce, ServiceNow, and Snowflake" A deep dive analysis argues that the recent collapse in SaaS software stocks, dubbed the "SaaS Doom," presents a contrarian buying opportunity. The market panic, triggered by fears that AI will disrupt traditional per-user subscription models through "seat compression" and AI agents bypassing software UIs, has led to extreme selling in the software sector. The analysis evaluates three major players under a unified framework: 1. **Salesforce (CRM):** Positioned as a "margin of safety" play. Trading at historically low valuations (13-14x forward P/E), with strong cash flow and a massive buyback, it offers value. Its key challenge is transitioning from a "seat economy" to an AI-driven "task economy" with its Agentforce platform. 2. **ServiceNow (NOW):** The "clearest AI narrative" play. Its "AI Control Tower" strategy aims to become the governance and orchestration layer for enterprise AI agents, benefiting from AI proliferation. Backed by Nvidia's CEO, it trades at a relatively low valuation post-correction. 3. **Snowflake (SNOW):** The "high-risk, high-reward" bet. Its consumption-based model aligns with rising AI workloads, and its RPO growth is strong. However, it faces intense competition (e.g., Databricks), is not yet GAAP profitable, and carries the highest valuation. The conclusion counters the simplified "AI kills software" narrative. AI is eliminating software that sells only functional interfaces but rewarding platforms that provide essential infrastructure, data, and governance. The current sell-off may have created a buying opportunity for resilient software leaders positioned as future AI infrastructure platforms.

marsbit05/25 07:10

AI Impact on SaaS Software Stocks: Deconstructing the Bottom-Fishing Logic of Salesforce, ServiceNow, and Snowflake

marsbit05/25 07:10

Just Now, Ilya Drops Another Mind-Blowing Image ‘The Thinker’: What’s on His Mind in the Ocean of AI Chips?

Shortly after going quiet, Ilya Sutskever, AI's enigmatic spiritual leader, posted a mysterious sketch titled "The Thinker" on Instagram. The drawing depicts Rodin's iconic sculpture perched on a cliff, contemplating a vast, purple microscopic universe made of transistors and digital circuits—a chip die shot—signed "IS 2026." This cryptic image, saying "nothing yet everything," ignited widespread speculation in Silicon Valley. Some see it as a search for sacred meaning in silicon, others as a silent critique of brute-force compute scaling. It echoes Ilya's past influence, like the original OpenAI logo he once doodled on a wall. The post coincided with a triple announcement from OpenAI, intensifying the frenzy. First, an internal reasoning model discovered new geometric constructions, challenging a long-standing conjecture and impressing Fields Medalist Tim Gowers. Second, Codex for Mac introduced "Appshots," allowing it to access application windows—even text outside the view—and gained features like Goal Mode, a built-in browser, and plugin capabilities, evolving from a coding assistant into a persistent "resident engineer." Third, reports surfaced that OpenAI is preparing for a confidential IPO filing with banks like Goldman Sachs and Morgan Stanley, potentially eyeing a fall public listing. Together, these moves signal that AGI (Artificial General Intelligence) is not a distant slogan but an active force reshaping science, software engineering, and capital markets. Ilya's art hints at a paradigm shift where the boundary between human thought and silicon computation blurs. As OpenAI insiders excitedly say, "Feel the AGI," it suggests a tangible breakthrough may be imminent—one our generation is likely to witness.

marsbit05/25 06:51

Just Now, Ilya Drops Another Mind-Blowing Image ‘The Thinker’: What’s on His Mind in the Ocean of AI Chips?

marsbit05/25 06:51

活动图片

Популярные категорииright-arrow

Популярные тегиright-arrow

Trading Strategies

Project Updates