# 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.

Tokens, Models, and Bubbles: The Crypto × AI Game in the Primary Market

Based on a two-year retrospective, this article analyzes the convergence of Crypto and AI from a primary market perspective. Initially, the crypto space heavily promoted "Crypto Helps AI" through three main narratives: computation power tokenization, data tokenization, and model tokenization. However, these efforts largely resulted in what the author calls a "tokenization illusion"—projects that issued tokens but lacked real product-market fit or sustainable business models. The piece critiques these approaches: decentralized compute networks often fail to meet enterprise reliability standards; tokenized data struggles with supply-demand alignment due to low user motivation and high professional requirements; and model tokenization is fundamentally flawed since AI models are non-scarce, easily replicable, and depreciate quickly. Additionally, projects focusing on verifiable inference (like ZKML or OPML) are solutions in search of a problem, as real-world AI failures are rarely due to malicious tampering but rather design errors or misconfigurations. The author references Vitalik Buterin’s updated views, which now present a more balanced perspective compared to two years ago. Buterin outlines four quadrants of Crypto × AI integration: two where crypto (especially Ethereum) provides trustless, economic layers for AI agents and private interactions, and two where AI enhances crypto—through local LLMs acting as user shields for security and AI improving market efficiency and DAO governance. The conclusion emphasizes that meaningful progress lies at the intersection of both fields, beyond mere tokenization or speculative narratives, and expresses hope for more substantive developments in the future.

比推02/12 06:16

Tokens, Models, and Bubbles: The Crypto × AI Game in the Primary Market

比推02/12 06:16

Viewing Crypto × AI from the Primary Market: An Experiment in Tokenization Illusion

This article analyzes the convergence of cryptocurrency and artificial intelligence (AI), critiquing the prevailing trend of "tokenization illusion" in Crypto × AI projects. Initially, the discussion highlights Vitalik Buterin's earlier skepticism toward Crypto-Helps-AI initiatives—such as tokenizing computing power, data, and AI models—which often lack sustainable product-market fit. These efforts face issues like unreliable compute services, low-quality data supply, and the non-scarce nature of AI models. The author also questions the practicality of verifiable inference (e.g., ZKML), arguing it addresses non-existent threats, as AI errors typically stem from design flaws rather than malicious tampering. Buterin’s updated perspective now balances both AI-Helps-Crypto and Crypto-Helps-AI, focusing on four key areas: using Ethereum for trustless AI interactions and economic layers for AI agents, and leveraging AI for smart contract auditing, prediction markets, and DAO governance. The conclusion emphasizes a more mature, integrated approach beyond mere tokenization, hoping for tangible progress in the coming years.

marsbit02/12 06:11

Viewing Crypto × AI from the Primary Market: An Experiment in Tokenization Illusion

marsbit02/12 06:11

Key Figure at xAI Departs, Dealing a Heavy Blow to Musk's AI Ambitions

Elon Musk's AI ambitions face a major setback as Tony Wu, co-founder and head of AI reasoning at xAI, resigns. This marks the departure of a second co-founder within months, following Igor Babuschkin’s exit last August. Wu led a critical division focused on AI reasoning—a core capability for advancing toward artificial general intelligence. The loss is particularly damaging given the current competitive AI landscape, where reasoning is key to surpassing models like GPT-4 and Claude. Wu’s exit may delay xAI’s R&D progress by at least six months and weaken its position against rivals like OpenAI and Anthropic. The departures highlight potential internal challenges. Musk’s intense, top-down management style—effective in engineering-driven companies like Tesla and SpaceX—may clash with the creative, research-oriented culture required for breakthrough AI work. Of xAI’s original 12 founding members, five have now left. In a fiercely competitive AI talent market, top researchers prioritize environments that offer technical autonomy and clear direction—areas where xAI may struggle against more research-centric organizations. The repeated loss of key figures raises questions about xAI’s ability to compete long-term in the race toward AGI.

marsbit02/12 05:19

Key Figure at xAI Departs, Dealing a Heavy Blow to Musk's AI Ambitions

marsbit02/12 05:19

The Next Earthquake in AI: Why the Real Danger Isn't the SaaS Killer, But the Computing Power Revolution?

The next seismic shift in AI isn't about SaaS disruption but a fundamental revolution in computing power. While many focus on AI applications like Claude Cowork replacing traditional software, the real transformation is happening beneath the surface: a dual revolution in algorithms and hardware that threatens NVIDIA’s dominance. First, algorithmic efficiency is advancing through architectures like MoE (Mixture of Experts), which activates only a fraction of a model’s parameters during computation. DeepSeek-V2, for example, uses just 9% of its 236 billion parameters to match GPT-4’s performance, decoupling AI capability from compute consumption and slashing training costs by up to 90%. Second, specialized inference hardware from companies like Cerebras and Groq is replacing GPUs for AI deployment. These chips integrate memory directly onto the processor, eliminating latency and drastically reducing inference costs. OpenAI’s $10 billion deal with Cerebras and NVIDIA’s acquisition of Groq signal this shift. Together, these trends could collapse the total cost of developing and running state-of-the-art AI to 10-15% of current GPU-based approaches. This paradigm shift undermines NVIDIA’s monopoly narrative and its valuation, which relies on the assumption that AI growth depends solely on its hardware. The real black swan event may not be an AI application breakthrough but a quiet technical report confirming the decline of GPU-centric compute.

marsbit02/12 04:38

The Next Earthquake in AI: Why the Real Danger Isn't the SaaS Killer, But the Computing Power Revolution?

marsbit02/12 04:38

Human API Launches Platform Enabling Direct AI-to-Human Task Coordination

Human API has launched a first-of-its-kind platform that enables AI agents to directly assign tasks to humans, addressing the "last mile" problem in AI operations where agents struggle with real-world interactions. The platform serves as an execution and coordination layer, allowing human contributors to accept and complete tasks such as voice recordings, with payments processed via Stripe Connect. This provides AI agents and businesses with programmatic access to high-quality, human-generated data. Initially focused on voice data licensing, the platform aims to expand into other data types and real-world tasks. Backed by $65 million in funding from investors like Placeholder and Polychain, Human API aims to create an agent-native ecosystem where humans are compensated collaborators, bridging the gap between AI capabilities and human judgment.

TheNewsCrypto02/11 22:56

Human API Launches Platform Enabling Direct AI-to-Human Task Coordination

TheNewsCrypto02/11 22:56

Solana Gets A Big Infra Signal As Alibaba Demos High-Performance RPCs

Alibaba Cloud demonstrated high-performance Solana RPC connectivity during a keynote, showcasing a significant infrastructure development for the blockchain. The demo highlighted a migration of a Solana archive node to Alibaba's in-house database, completed in just two days with the aid of AI-assisted coding. Key improvements included a reduction in RPC call latency; a "get slot" call dropped from 25ms to 10ms, while a "get block" call for a 4MB payload saw latency fall to under 200ms. This was achieved by routing traffic through Alibaba's private backbone network instead of the public internet, emphasizing stability and suitability for low-latency, trading-heavy applications. The company also highlighted its global data center footprint as a perfect match for Solana's needs. Although not a formal product announcement, the public benchmarking by a major cloud provider is a notable vote of confidence for the Solana ecosystem.

bitcoinist02/11 17:02

Solana Gets A Big Infra Signal As Alibaba Demos High-Performance RPCs

bitcoinist02/11 17:02

Ozak AI’s Early Accumulation Window Opens the Door for Potential 700×–1,100× Returns as AI Token Demand Explodes Ahead of 2027

As capital rotates toward AI-driven blockchain infrastructure, analysts identify Ozak AI as a rare early-stage opportunity, currently in an early accumulation window with potential for significant returns. With its presale active and valuation still low, forecasts suggest that early positioning could yield 700× to 1,100× returns by 2027, assuming adoption and execution proceed as expected. Ozak AI’s technology stack includes Prediction Agents, the Ozak Stream Network, EigenLayer AVS integration, Arbitrum Orbit scalability, and Ozak Data Vaults—positioning it as foundational infrastructure for AI-enabled blockchain applications. Current presale prices around $0.014 are considered deeply discounted, with long-term projections reaching up to $30+ per token. The accumulation window may close quickly due to nearing presale milestones, potential exchange listings, and growing investor interest. Supported by associations with established tech and data ecosystems, Ozak AI is viewed as a high-upside candidate aligned with the upcoming AI adoption supercycle.

TheNewsCrypto02/11 15:42

Ozak AI’s Early Accumulation Window Opens the Door for Potential 700×–1,100× Returns as AI Token Demand Explodes Ahead of 2027

TheNewsCrypto02/11 15:42

Ethereum Price Drifts Lower as Bearish Pressure Mounts: SUBBD Community Grows

Ethereum's price is facing significant bearish pressure, struggling to stay above the critical $2,000 support level. Trading below both its 50-day and 200-day moving averages, ETH has declined over 34% year-to-date amid persistent outflows and a broader risk-off sentiment. A decisive break below $2,000 could trigger a deeper correction toward the $1,400–$1,800 range. Key factors influencing the market include upcoming macroeconomic data like the CPI release and delayed Nonfarm Payrolls report, which may impact Federal Reserve policy decisions. While major cryptocurrencies face headwinds, some investors are turning to high-risk, high-reward presales for potential growth. Among these is SUBBD Token, an AI-powered content creation platform built on Ethereum that has raised $1.4 million in its presale. The project aims to address high platform fees in the creator economy by combining Web3 and AI tools, offering features like voice cloning and content generation while allowing creators to retain more earnings. The $SUBBD token facilitates payments and access to exclusive content and tools within the ecosystem.

bitcoinist02/11 15:32

Ethereum Price Drifts Lower as Bearish Pressure Mounts: SUBBD Community Grows

bitcoinist02/11 15:32

Top 8 crypto presales making headlines in February 2026

In February 2026, several crypto presales are gaining attention for their innovative approaches and early fundraising success. These presales allow investors to raise capital and build communities while offering early access to new projects. The top eight highlighted presales include: 1. **DeepSnitch AI (DSNT)**: An AI-driven platform analyzing on-chain data and market sentiment, raising over $1.5 million. 2. **Pepepawn (PEPA)**: A DeFi pawn shop concept for crypto-backed liquidity, raising $2.32 million. 3. **OPZ (OPZ)**: An AI-powered self-custody wallet solution, raising around $900,000. 4. **Digitap ($TAP)**: A utility-focused token with a $4.6 million presale raise. 5. **IPO Genie ($IPO)**: A platform tokenizing early-stage investments for retail access. 6. **LivLive**: A project emphasizing real-world traction and user activity. 7. **Nexchain**: A technical infrastructure project focusing on blockchain efficiency. 8. **Bitcoin Hyper ($HYPER)**: A Bitcoin Layer-2 solution aiming for faster, cheaper transactions. These projects represent diverse sectors like AI, DeFi, infrastructure, and accessibility, though investors are advised to research thoroughly due to inherent risks in early-stage investments.

ambcrypto02/11 14:48

Top 8 crypto presales making headlines in February 2026

ambcrypto02/11 14:48

This Might Be the Last Chance for Ordinary People to Understand AI in Advance

The author, an AI industry insider, warns that AI advancement is undergoing a nonlinear, exponential leap—not gradual improvement. By early 2026, models like GPT-5.3 and Claude Opus 4.6 can autonomously complete complex tasks (e.g., coding full applications, legal analysis, financial modeling) without human intervention, often outperforming professionals. AI is now actively used in its own development, accelerating progress toward artificial general intelligence (AGI), predicted to surpass human capability in most tasks by 2026–2027. This shift threatens 50%+ of white-collar jobs (law, finance, writing, software, etc.) within 1–5 years, as AI replaces cognitive labor universally. The author urges immediate action: use paid, state-of-the-art AI tools (e.g., ChatGPT Plus, Claude Pro) for real work tasks, not just queries; adapt skills toward creativity and AI collaboration; secure finances; and embrace continuous learning. The window to gain advantage is narrow but critical. Beyond work, AI poses existential risks (e.g., security threats) and promises breakthroughs (e.g., curing diseases). The message is clear: engage now or risk being left behind.

marsbit02/11 13:57

This Might Be the Last Chance for Ordinary People to Understand AI in Advance