# Сопутствующие статьи по теме Token

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Token", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Ozak AI’s Sub-$0.02 Entry Window Is Closing as Presale Momentum Signals One of the Strongest Upside Profiles in Crypto

OZAK AI's token presale is rapidly advancing, with the current entry price at $0.014 in Phase 7, representing a 14x return from its initial $0.001 offering. Early investors could see potential returns of up to 1,000x if the token reaches its $1 target post-listing. The project's strength lies in its AI-driven ecosystem, including the decentralized infrastructure network (DePIN) for scalability and transparency, and the x402 Protocol that simplifies developer access to AI tools. Strategic partnerships with entities like Openledger, Meganet, and Phala Network further bolster its growth potential. The presale window for this sub-$0.02 opportunity is closing as momentum builds.

TheNewsCrypto03/12 13:42

Ozak AI’s Sub-$0.02 Entry Window Is Closing as Presale Momentum Signals One of the Strongest Upside Profiles in Crypto

TheNewsCrypto03/12 13:42

Across Protocol Proposes Transition from DAO to U.S. Corporation, Token Holders Can Exchange for Equity

Cross-chain bridge protocol Across Protocol has proposed transitioning from a DAO structure to a U.S. C-Corporation named AcrossCo. ACX token holders are offered two options: a 1:1 swap for equity in the new company or a token buyback at a 25% premium to the 30-day average price in USDC. The team cited the current DAO model as a bottleneck for institutional partnerships, which require enforceable contracts and a clear legal entity. The proposal, which requires a simple majority vote, follows $51 million in funding, including a round led by Paradigm. The announcement caused ACX's price to surge approximately 70%. The underlying protocol will continue to operate permissionlessly.

marsbit03/12 03:32

Across Protocol Proposes Transition from DAO to U.S. Corporation, Token Holders Can Exchange for Equity

marsbit03/12 03:32

CBI Arrests Darwin Labs Co-Founder in Multi-Crore GainBitcoin Scam

India's Central Bureau of Investigation (CBI) has arrested Ayush Varshney, co-founder and CTO of Darwin Labs, in connection with the GainBitcoin cryptocurrency scam. The alleged fraud is estimated to be worth ₹20,000 crore and involves around 29,000 mined bitcoins. Varshney was intercepted at Mumbai airport while attempting to leave the country and arrested on March 10. Darwin Labs developed the technological infrastructure for the operation, including the MCAP token, smart contracts, and various platforms. The CBI is investigating the case under the Indian Penal Code and IT Act to trace misappropriated funds and identify other individuals involved.

TheNewsCrypto03/11 14:44

CBI Arrests Darwin Labs Co-Founder in Multi-Crore GainBitcoin Scam

TheNewsCrypto03/11 14:44

OpenClaw Gold Rush: The Shovel Sellers Never Anxious

OpenClaw, an open-source AI agent framework, has sparked a massive wave of commercialization in China, creating a lucrative industry built on user anxiety and the desire to adopt cutting-edge technology. While the software itself is free, a full ecosystem has emerged to monetize the complexity of its deployment and operation. Hardware manufacturers, including former crypto mining machine producers, now sell specialized OpenClaw-optimized devices, with some like iPollo's Claw PC retailing for $439. Others offer white-label OEM solutions, capitalizing on users' unwillingness to configure standard hardware like Mac Minis. A significant market has also emerged for discounted API tokens required to run OpenClaw. Many providers offer heavily discounted, and sometimes fraudulent, access to models like Claude or GPT. Research indicates nearly half of these third-party APIs are deceptive, often substituting expensive models with cheaper, local alternatives. Beyond the markup, the core business for some token resellers is collecting high-quality user prompts and responses to sell as valuable training data to large model companies. Furthermore, a service industry thrives on information asymmetry. Consultants travel nationwide to install and configure OpenClaw for small business owners, charging thousands per installation. An extreme example is RoofClaw in the US, which ships pre-configured MacBooks to roofing contractors for $5,000 each, generating over $1.8 million in revenue. The model has become so popular that major platforms like Meituan and JD.com now offer remote deployment services. The article concludes that the real winners are not those developing the technology but the "shovel sellers"—those providing the tools, services, and infrastructure to ease adoption. They profit not from technological advancement itself, but from the consistent and predictable human fear of being left behind.

marsbit03/11 12:08

OpenClaw Gold Rush: The Shovel Sellers Never Anxious

marsbit03/11 12:08

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

AI Jargon Dictionary (March 2026 Edition): A Practical Guide This article provides a clear glossary of essential AI terminology, perfect for anyone looking to quickly understand the field. It breaks down key concepts into two categories: foundational and advanced terms. Foundational terms (12) include: - **LLM (Large Language Model)**: Deep learning models trained on vast data to understand and generate language. - **AI Agent**: Systems that understand goals, use tools, and execute multi-step tasks. - **Multimodal**: Models that process and generate multiple content types (text, image, audio, video). - **Generative AI (AIGC)**: AI focused on creating new content. - **Token**: The basic unit for processing input/output, affecting cost and performance. - **Context Window**: The amount of data a model can consider at once. - **RAG (Retrieval-Augmented Generation)**: Enhances responses using external, up-to-date data sources. Advanced terms (18) cover: - **Transformer**: The architecture behind modern LLMs. - **Hallucination**: When models generate incorrect but confident responses. - **Agentic Workflow**: Systems that autonomously break down and execute tasks. - **Vibe Coding**: Generating code through natural language commands without manual coding. The guide is designed to help readers confidently navigate AI discussions and implementations.

marsbit03/11 11:52

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

marsbit03/11 11:52

Behind the OpenClaw Gold Rush: The Shovel Sellers Never Worry, Only the Miners Do

OpenClaw, an open-source AI agent framework, has sparked a frenzy in China, creating a wave of anxiety among users while a complete industry profits from it. The article reveals how various players are monetizing this trend: hardware manufacturers, like former crypto mining rig producers, are selling pre-configured “OpenClaw-optimized” devices; API resellers are offering discounted—and sometimes fraudulent—access to model tokens, with some making millions monthly by secretly swapping premium models for cheaper ones or collecting valuable user data; and service providers are capitalizing on information asymmetry, offering installation, customization, and industry-specific packages, with some earning over $1.8 million. The core insight is that, much like historical gold rushes, the real profits are not made by the “miners” (end-users) but by the “shovel sellers” (those providing tools and services), who exploit consistent human anxiety and the fear of being left behind.

比推03/11 11:44

Behind the OpenClaw Gold Rush: The Shovel Sellers Never Worry, Only the Miners Do

比推03/11 11:44

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

The "AI Jargon Dictionary (March 2026 Edition)" is a practical guide for those new to the AI field, especially crypto enthusiasts looking to stay relevant. It covers essential and advanced AI terms to help readers understand key concepts and avoid confusion in industry discussions. The dictionary is divided into two parts: **Basic Vocabulary (12 terms):** - Core concepts like LLM (Large Language Model), AI Agent (intelligent systems that execute tasks), Multimodal (handling multiple data types), and Prompt (user instructions). - Key technical terms: Token (processing unit), Context Window (token capacity), Memory (retaining user data), Training vs. Inference (learning vs. execution), and Tool Use (calling external tools). - Generative AI (AIGC) and API (integration interface) are also explained. **Advanced Vocabulary (18 terms):** - Technical foundations: Transformer architecture, Attention mechanism, and Parameters (model scale). - Emerging trends: Agentic Workflow (autonomous systems), Subagents, Skills (reusable modules), and Vibe Coding (AI-assisted programming). - Challenges: Hallucination (incorrect outputs), Latency (response time), Guardrails (safety controls). - Optimization techniques: Fine-tuning, Distillation (model compression), RAG (Retrieval-Augmented Generation), Grounding (fact-based responses), Embedding (vector encoding), and Benchmark (performance evaluation). The article emphasizes practicality, urging readers to learn these terms to navigate AI conversations confidently. It highlights terms like RAG and Grounding as critical for enterprise AI, while newer buzzwords like MCP (Model Context Protocol) and Vibe Coding reflect evolving trends. The goal is to provide a concise yet comprehensive reference for understanding AI jargon in 2026.

Odaily星球日报03/11 11:36

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

Odaily星球日报03/11 11:36

AI Lobster Ranking, XXX Takes an Overwhelming First Place; Governments Compete to Issue Token Subsidies; Airdrop Hunters Have Started Delivering for Meituan

This article summarizes recent discussions in the cryptocurrency space based on content from the X platform. Key topics include: - An "AI Lobster Ranking" where the top performer significantly outpaces the others, with the combined scores of the second to sixth places being less than one-tenth of the first. - Major Chinese municipalities are introducing token subsidies to encourage development, drawing comparisons to past electricity subsidies and sparking mixed reactions about the government's strategy. - Elon Musk's X platform is reportedly preparing to launch "Xmoney," featuring an 8% annual yield, which could disrupt the crypto exchange landscape if fully implemented. - "Airdrop hunters" (people seeking crypto rewards) are expressing anxiety about the increasing difficulty of profiting in the Web3 space, with some humorously mentioning turning to alternative jobs like working for Meituan (a delivery platform). - A list of controversial Key Opinion Leaders (KOLs) is being circulated, questioning their credibility. The content is presented as community discussion and explicitly states it does not constitute investment advice.

比推03/10 22:47

AI Lobster Ranking, XXX Takes an Overwhelming First Place; Governments Compete to Issue Token Subsidies; Airdrop Hunters Have Started Delivering for Meituan

比推03/10 22:47

Ripple Engineer Reveals Why Codius Project Failed Years Ago

A former Ripple senior engineer, Steven Zeiler, has reignited discussion by explaining why the Codius decentralized computing project failed. Zeiler argued that despite solid technology and vision, Codius lacked a native token to incentivize early adopters and bootstrap the network, unlike Ethereum which succeeded partly due to the ETH token. His comments drew pushback from XRP Ledger validator Vet, who contended that Codius was intentionally designed to be token-agnostic via the Interledger Protocol, without an ICO or insider advantages. Vet also disputed claims that Codius is dead, citing ongoing development efforts. The debate also touched on Ripple’s former CTO Joel Schwartz’s earlier signals about reviving Codius, though no recent updates have followed his departure from Ripple in 2025.

bitcoinist03/10 22:02

Ripple Engineer Reveals Why Codius Project Failed Years Ago

bitcoinist03/10 22:02

Pump.fun Price Analysis: PUMP Holds Near $0.00207 as Platform Seeks Lawsuit Dismissal

The token for Pump.fun, PUMP, is trading around $0.002076, up 6.29% in 24 hours, with a trading range between $0.001936 and $0.002086. This modest rally occurs amid legal developments, as Pump.fun and its officers seek dismissal of a class-action lawsuit in a New York federal court. The suit alleges that tokens created on the platform may be unregistered securities. Technically, PUMP is in a short-term consolidation phase, trading slightly above the 9-day and 21-day moving averages near $0.00196, indicating limited upward momentum. The RSI is neutral at 52. Key resistance levels are at $0.00220 and $0.00240, while support lies near $0.001914. The market structure suggests a sideways range, with the price attempting to stabilize above moving averages.

TheNewsCrypto03/10 17:20

Pump.fun Price Analysis: PUMP Holds Near $0.00207 as Platform Seeks Lawsuit Dismissal

TheNewsCrypto03/10 17:20

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