# 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.

With Ozak AI Now Above $7 Million Raised, Analysts Warn That Remaining Presale Allocation Could Shrink Rapidly as Late Buyers Rush To Secure Positions.

Ozak AI is experiencing significant presale momentum, having raised over $7 million across its phases. Currently in its 7th presale stage priced at $0.014, analysts warn the remaining allocation is shrinking rapidly as late buyers rush to secure tokens before the price increases and it lists on major exchanges with a target of $1. Demand is driven by its advanced AI technology, which uses specialized multi-agent systems for real-time blockchain data analysis, predictive tools, and personalized AI agents. Early investors have seen substantial returns, with gains up to 1300%. The project is also strengthening its ecosystem through key partnerships. With limited supply and high demand, analysts suggest the current presale offers a final opportunity for investors before potential significant price appreciation post-listing.

TheNewsCrypto05/23 08:02

With Ozak AI Now Above $7 Million Raised, Analysts Warn That Remaining Presale Allocation Could Shrink Rapidly as Late Buyers Rush To Secure Positions.

TheNewsCrypto05/23 08:02

I vibe-coded an Android app using Google

In a hands-on experience, Google AI Studio's new "prompt to phone" feature allows users to generate functional Android apps using natural language prompts. The author created three apps in one afternoon: a text-based adventure game called MOOD, a calorie counter, and a Super Mario-style game featuring Peach. The process involved describing the app concept, letting Gemini AI generate the code and interface, and then installing it directly onto a connected phone. While the apps were generated and installed quickly, their quality varied significantly. The text adventure was simplistic and buggy, the calorie counter provided inaccurate data due to flawed logic, and the platformer was prone to crashes. The AI could efficiently fix specific, identifiable bugs through follow-up prompts. However, the experience highlighted that while AI can rapidly prototype "working" software, creating reliable, accurate, and polished applications still requires human oversight, judgment, and iteration. The tool dramatically lowers the barrier to entry for personal software creation but doesn't yet replace the need for developer expertise in the final stages of quality and refinement.

marsbit05/23 06:16

I vibe-coded an Android app using Google

marsbit05/23 06:16

Has Microsoft Lost Its Way in the AI Race, and Can Copilot Bring It Back on Track?

Microsoft, once seen as an early AI frontrunner due to its investment in OpenAI, is navigating a strategic shift amid increased competition. Its initial reliance on OpenAI’s GPT models has been complicated by OpenAI’s growing ambitions as a direct competitor, rapid advancements from rivals like Claude and Gemini, and the disruptive rise of AI agents, which challenge its traditional SaaS business model. These factors contributed to stock declines and slower-than-expected adoption of its flagship Copilot products. In response, CEO Satya Nadella has taken a hands-on role in product development, signaling the urgency of change. Microsoft is pivoting from a model-centric strategy to a "model-agnostic" enterprise platform approach. It aims to become the foundational layer connecting various AI models—from OpenAI, Anthropic, or its own new "Superintelligence" team—with enterprise workflows, data, security, and cloud services. Recent organizational changes merged consumer and enterprise Copilot teams to accelerate innovation, exemplified by new products like Copilot Tasks and Copilot Cowork. However, this transformation comes at a high cost. Microsoft faces massive capital expenditures, potentially reaching ~$190 billion by 2026, to support AI infrastructure. While its platform strategy shows early signs of traction with growing Azure AI revenue, it must balance startup-like agility with the reliability expected by enterprise clients. The core challenge is no longer being the sole AI winner but defending its position as the essential enterprise software entry point amidst rapid technological commoditization and the shift towards always-on AI agents.

marsbit05/23 04:37

Has Microsoft Lost Its Way in the AI Race, and Can Copilot Bring It Back on Track?

marsbit05/23 04:37

Why Did Zhipu Surge Nearly 30% in a Single Day?

"Global AI Model Unicorn" Zhipu's stock surged nearly 30% in a single day, reaching a new market cap high. The catalyst was the launch of its GLM-5.1-highspeed API, boasting a generation speed of **400 tokens per second**, setting a new global benchmark. This speed, roughly 3-5 times faster than industry leaders like OpenAI's GPT-4o and Anthropic's Claude, is achieved **without compromising the full-scale model's capabilities**. In the era of AI Agents requiring dozens of self-calls, such latency reduction is critical, transforming speed from a system metric into a determinant of intelligence limits. The breakthrough stems from a three-layer technical overhaul: 1. **TileRT Inference Engine**: Compiles the entire model into a continuous, always-on computation pipeline using "Warp Specialization," minimizing GPU idle time by having different processor groups handle data loading, computation, and communication in parallel. 2. **Heterogeneous Parallelism for MLA**: To efficiently run the GLM-5.1 model using the MLA attention mechanism, TileRT employs a heterogeneous strategy. One GPU handles sparse indexing/routing, while the others perform dense computation, optimizing for MLA's unique workflow. 3. **ZCube Network Architecture**: Replaces the standard Spine-Leaf (ROFT) network topology with a flat, dual-group interconnect. This design creates a single optimal path between any two GPUs, eliminating network congestion at scale and reducing latency. The business impact is significant: a 15% increase in cluster throughput (free extra capacity), a 40.6% reduction in tail latency (improved stability), and a one-third cut in networking hardware costs. Long-term, this innovation challenges the dominance of NVIDIA's integrated hardware-software stack (GPU+NVLink+InfiniBand), potentially benefiting manufacturers of high-density Leaf switches and optical modules while lowering the software barrier for domestic AI chips like Huawei's Ascend. The innovation proves that more can be achieved with the same compute, reshaping the infrastructure beyond just GPUs.

marsbit05/23 01:23

Why Did Zhipu Surge Nearly 30% in a Single Day?

marsbit05/23 01:23

With Presale Funding Now Above $7 Million, Ozak AI Enters a New Growth Phase Marked by Steady Capital Inflows

Ozak AI ($OZ) has surpassed $7 million in its presale, marking a significant growth phase and shifting investor focus from speculative meme coins to utility-driven AI projects. The project combines AI technology with Decentralized Physical Infrastructure Networks (DePIN) to build infrastructure for smart analytics and automation in decentralized systems. The OZ token, priced at $0.014 in the current presale stage, is designed for staking, governance, and network expansion, aligning user incentives with long-term development. Sustained capital inflows and diminishing token supply indicate strong, conviction-based investor demand. This milestone reflects a broader market trend favoring foundational projects with clear utility over short-term speculation, positioning Ozak AI ahead of its anticipated public exchange listing.

TheNewsCrypto05/22 16:02

With Presale Funding Now Above $7 Million, Ozak AI Enters a New Growth Phase Marked by Steady Capital Inflows

TheNewsCrypto05/22 16:02

General Tensor and Talisman Joining Forces To Build Financial Rails for Decentralized AI

General Tensor and Talisman Wallet have partnered to build advanced financial infrastructure for the Bittensor decentralized AI network. The collaboration combines Talisman's secure wallet and institutional multi-signature technology with General Tensor's validator operations, mining infrastructure, and trading platform ecosystem. The goal is to move beyond basic wallets to create a seamless "agent-ready" stack that connects user or AI agent intent directly to on-chain execution for activities like custody, trading, and staking. This addresses the growing need for sophisticated financial tools as institutional participants like funds and DAOs engage with decentralized AI, shifting focus from mere token speculation to operational infrastructure. The partnership aims to lay the groundwork for future autonomous AI agents to interact with decentralized networks.

TheNewsCrypto05/22 13:07

General Tensor and Talisman Joining Forces To Build Financial Rails for Decentralized AI

TheNewsCrypto05/22 13:07

The Underlying Logic of Bottleneck Propagation in the AI Computing Power Industry Chain

The article analyzes the evolving bottleneck progression within the AI compute supply chain. Initially constrained by GPU chip and advanced packaging capacity (2022-2024), the primary bottleneck shifted to HBM memory (2024-2025) due to massive model parameter growth. As cluster scale expands, physical limits of copper interconnects are making optical interconnect technologies the next critical phase (2025-2026). The ultimate, emerging constraint is power delivery and advanced liquid cooling (from 2026 onward), driven by skyrocketing rack power densities exceeding traditional infrastructure limits. The core thesis is that AI compute demand follows a "Leontief" production function where solving one bottleneck immediately exposes the next in the sequence: Compute (GPU) → Memory (HBM) → Interconnect (Optics) → Power & Cooling. Each shift reallocates value and investment across the semiconductor and infrastructure landscape.

marsbit05/22 12:25

The Underlying Logic of Bottleneck Propagation in the AI Computing Power Industry Chain

marsbit05/22 12:25

GitHub Empire on the Brink of Collapse: Source Code Leak, 18-Year Veteran Leaves, Microsoft Loses 1.5 Billion Developers

GitHub is facing an unprecedented crisis, marked by a massive exodus of developers and severe operational failures. The tipping point came when Mitchell Hashimoto, creator of Ghostty and an 18-year GitHub user, publicly severed ties, citing persistent platform outages that made serious work impossible. This departure highlights a broader pattern of user frustration. The platform's instability has drawn complaints from major corporate clients like Citibank and Intel, forcing Microsoft to issue substantial service credits. A critical incident last month saw an accidentally triggered, unreleased feature cause widespread repository rollbacks, erasing recent code changes and pushing enterprises to migrate. Security has catastrophically breached. In May 2026, hackers infiltrated over 3,800 of GitHub's internal repositories via a poisoned VS Code extension installed by a developer, leading to the attempted sale of core source code for $50,000. This follows the discovery of a critical zero-day vulnerability in March that threatened access to millions of repositories. Internally, GitHub's autonomy has collapsed. After the resignation of CEO Thomas Dohmke in mid-2025, Microsoft eliminated the CEO role, folding GitHub into its CoreAI division under the unpopular leadership of Jay Parikh. This triggered a talent drain, with key executives and engineers leaving. A disruptive migration of GitHub's infrastructure to Azure servers, pushed by CTO Vladimir Fedorov, is blamed for the recurring outages. Competitively, GitHub Copilot is under "existential threat" from superior AI coding tools like Cursor (now owned by SpaceX) and Claude Code, which offer more advanced contextual coding and automation. Ironically, Microsoft's own engineers reportedly preferred Claude Code, forcing management to revoke licenses. Financially, GitHub is a loss leader. Despite Copilot surpassing 4.7 million paid users and $3 billion in annual revenue, the AI inference costs for free services massively outstrip subscription income, hurting Microsoft's cloud margins. The recent shift from a flat fee to a pay-as-you-go model for Copilot has further alienated developers. The core question for Microsoft is whether a centralized code repository remains essential in the AI agent era. The erosion of trust, developer culture, and platform reliability threatens the very ecosystem Microsoft spent decades building.

marsbit05/22 10:52

GitHub Empire on the Brink of Collapse: Source Code Leak, 18-Year Veteran Leaves, Microsoft Loses 1.5 Billion Developers

marsbit05/22 10:52

A Comprehensive Analysis of On-Chain Pre-IPO: Why is the Pricing Power of SpaceX and OpenAI Moving On-Chain?

This podcast episode explores the rise of on-chain pre-IPO price discovery and trading, focusing on companies like SpaceX, OpenAI, and Anthropic. Key trends include the recent launch of a SpaceX pre-IPO perpetual contract on Hyperliquid, the secondary market trading of AI company shares, and a new partnership between Nasdaq Private Market and Polymarket. Dio Casares explains why AI companies like OpenAI and Anthropic actively deny the legitimacy of secondary trades. Primary reasons are to protect their primary funding rounds (as secondary trades don't provide cash to the company) and to avoid complex legal and administrative responsibilities associated with settling these transactions. He argues that on-chain **derivatives** (like perpetuals) are a more viable solution than **tokenized spot markets**, as they better navigate U.S. regulatory holding period requirements, provide effective hedging, and avoid antagonizing the companies themselves by competing with their primary raises. The discussion covers the risks and methods of gaining pre-IPO exposure, from direct investments and SPVs to riskier, layered structures that can lead to legal complications and settlement issues. Casares also maps the landscape of key players, differentiating between traditional secondary brokers (like Forge, Hiive, and Setter) and on-chain derivatives protocols (like Trade.xyz/Ventuals on Hyperliquid) and tokenization platforms (often on Solana). He positions Patagon as a facilitator for access to private market deals but clarifies it avoids on-chain tokenization to maintain good relations with portfolio companies. Looking ahead, the convergence of a historic IPO pipeline (with potential trillion-dollar valuations), the 24/7 nature of crypto markets, and the strategic use of pre-market perpetuals as a "loss leader" suggest continued growth and competition in the on-chain pre-IPO space.

marsbit05/22 10:19

A Comprehensive Analysis of On-Chain Pre-IPO: Why is the Pricing Power of SpaceX and OpenAI Moving On-Chain?

marsbit05/22 10:19

Token Packages Are Here, Are Telecom Operators in a Hurry?

Major Chinese telecom operators are launching token-based AI computing packages, sparking public debate and highlighting a strategic shift amid slowing traditional revenue growth. In May, Shanghai Telecom introduced token plans (e.g., 9.9 RMB for 10 million tokens), quickly followed by nationwide offerings from China Telecom, China Mobile, and China Unicom. While priced higher than major AI firms like DeepSeek, these packages allow users to access multiple AI models via API using their phone bills, similar to purchasing universal mobile data. The move reflects operators' anxiety as traditional voice, SMS, and data services stagnate. With revenue growth hitting multi-year lows in 2025, AI and computing power represent a critical new frontier. However, current C端 offerings, such as AI photo editing or virtual pets, are seen as non-essential and highlight operators' role as "pipes" or integrators rather than creators of compelling AI products. Beyond consumer packages, operators aim to become key infrastructure players in China’s national computing power network. They position themselves as the "power grid" delivering AI算力, leveraging their vast network of base stations to ensure low-latency, reliable coverage, especially for applications like autonomous driving. This infrastructure role, coupled with unified national调度, could make算力 a ubiquitous utility, driving new consumption scenarios even if mass adoption of token packages remains uncertain.

marsbit05/22 10:15

Token Packages Are Here, Are Telecom Operators in a Hurry?

marsbit05/22 10:15

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