AI

The article not only provides beginners with an introduction to the technology but also serves as a reference for experienced users to gain deeper insights and choose tools.

The article offers entry-level guidance for newcomers while also serving as a resource for advanced users looking for deeper insights and tool selection.

This article presents an in-depth analysis of transformation strategies employed by mining companies like IREN, CORZ, and HUT. It highlights how they have utilized existing power infrastructure and data center resources to drive substantial growth in revenue and company valuation.

The article offers an in-depth look at how fingerprint technology validates both ownership and control of digital signature models, while ensuring optimal model performance remains unaffected.

This article provides an in-depth analysis of how technology leaders, Wall Street, and the media jointly shaped the current AI boom. It examines how AI has become a new catalyst for global economic growth. The article also explores the resulting shifts in capital, talent, and resource allocation throughout this process.

The "30T agent economy" vision by a16z is materializing in Crypto AI labs. Evolving from x402 trends to Darwinian competition, AI agents have grown into a capital ecosystem centered on DeFi, prediction markets, and DeAI. This analysis decodes the evolution, key players, and wealth-creation logic behind the "AI Hunger Games."

Over the course of a ten-day AI trading model competition, six leading models—DeepSeek, Qwen3, Claude, Grok, Gemini, and GPT5—engaged in a head-to-head contest using identical sets of technical data inputs, yielding markedly different results. This article provides a comprehensive analysis of each model’s trading behavior, activity frequency, win rate, profit-to-loss ratio, and holding period. The results highlight that strategies emphasizing low trade frequency, trend following, strict stop-loss controls, and high profit-to-loss ratios tend to be more profitable. Conversely, approaches characterized by high-frequency trading, low profit-to-loss ratios, and loose stop-loss rules are more susceptible to losses. The article further posits that AI is transitioning from a “research tool” to an active “live trading agent,” with its decision-making frameworks offering valuable lessons for human traders.

The article, from the perspective of natural selection, provides a detailed analysis of the application and competition of AI in various fields, such as finance, sports prediction, and market forecasting, demonstrating how AI rapidly evolves through competition.

The report compares six leading AI models in a real-world crypto market trading contest. Each begins with $10,000 in initial capital, competing to achieve maximum returns in highly volatile market conditions. The article examines the strategic approaches and performance disparities among AI models such as Deepseek, GPT-5, and Gemini, highlighting both the potential and limitations of AI-driven trading in cryptocurrency trading.

This article explores the evolution of money as a tool of control in the digital age, revealing how tech giants consolidate power through capital, data, and AI models. It calls for decentralized AI, governance, and resource networks to restore intellectual freedom and systemic diversity.

a16z partner Olivia Moore proposed the “Great Expansion” theory: AI is enabling consumer software to break through traditional growth bottlenecks, with revenue retention rates surpassing 100% for the first time, and naturally expanding into the enterprise market. This trend is rewriting the business logic of the software industry.

MyShell is transitioning AI image generation from a model-centric paradigm to an infrastructure-level service. Utilizing a state-machine framework and the ShellAgent toolkit, MyShell delivers highly efficient, consistent, and reusable creative workflows. With its decentralized ecosystem and robust community collaboration, MyShell is systematically developing an AI creative platform that bridges cultures and holds significant commercial potential.

Explore new paradigms of decentralized AI robotic intelligence, learn how Web3 empowers robot collaboration, data sharing, and autonomous economies, and uncover future market opportunities and technology trends.

Dark Forest Adventure Round reimagines classic blockchain games as on-chain financial markets, establishing an economic framework that enables AI agents to participate continuously and generate profits. This article examines its fundamental principles. It explores how transparent on-chain data, a limited strategic environment, and PoS-inspired economic mechanisms empower AI agents to progress beyond passive roles and become genuine market competitors.

OpenMind is building a universal “operating system + decentralized collaboration network” for robots around the world. This enables machines of various forms and from different manufacturers to communicate in a common language, comply with unified standards, and collaborate securely on-chain. This project is designed to establish an open and orderly framework for the emerging machine society.