AI

GateAI is an advanced intelligence tool built for crypto traders, specializing in information consolidation and market context analysis. While it does not offer investment advice, it empowers users to develop a rational decision-making framework in environments characterized by high volatility and information overload.

The article analyzes the safety debates, interprets the involvement of xAI and Elon Musk as an endorsement of the early singularity phase, and explores the recruitment of cryptography experts to train on-chain trading models. It reveals that the autonomous agent economy is poised to disrupt both human-computer interaction and the landscape of Decentralized Finance (DeFi).

The article discusses a unified Agent service index, verification of prediction market capabilities, an ERC-8004 reputation system integrated with the x402 payment SDK, achieving a decade of Web2 evolution in just 30 days, addressing data noise and Sybil attacks, and advising developers to seize the crucial 2–3 month product window under legal considerations.

AI is creating identities, content, and behaviors at extremely low cost, while the current internet lacks native mechanisms to distinguish humans from machines. This article systematically explains why blockchain is becoming the critical infrastructure for the AI era: by raising the cost of impersonation, building decentralized human identity systems, providing portable identity and payment capabilities for AI Agents, and enabling privacy protection through zero-knowledge proofs, blockchain offers the essential foundational constraints for an AI-native internet that can still be trusted.

GateAI consolidates fragmented market data into a clear, contextual structure, empowering traders to distinguish facts, variables, and uncertainties amid information overload. By lowering the cost of analysis, GateAI enables decisions grounded in comprehensive and rational market insight.

This article draws on highlights from the Bloomberg Originals podcast, focusing on the investment cycle where Nvidia invests up to $100 billion in OpenAI, OpenAI leases computing power from Oracle, and Oracle purchases Nvidia chips. Through this lens, it offers a clear analysis of the profitability challenges facing the industry during the current AI boom.

The article addresses key challenges in the generative AI era—including data ownership, web crawler compensation, and vibe application synchronization—and anticipates a future where users gain control over their AI companions and develop sustained, accompanying relationships.

Leading Silicon Valley investors Jason Calacanis, Chamath, David Friedberg, and David Sacks have unveiled their definitive forecasts for 2026, addressing topics such as artificial intelligence, IPO cycles, prediction markets, critical metals, China–US relations, and global political and economic developments. This article distills 11 key insights, offering an in-depth analysis of the sectors and asset classes most worthy of full commitment in the year ahead.

Anthropic’s latest report delivers a startling message: AI is rapidly transforming the landscape for advanced educational tasks. High school assignments are processed nine times faster, and college-level work is completed at twelve times the usual rate. Human–AI collaborative sessions now last as long as nineteen hours, highlighting an emerging “deskilling” crisis—where meaningful intellectual engagement is replaced by repetitive administrative tasks.

This article starts by examining Meta and Manus, along with the public listings of Zhipu and MiniMax, to break down the criteria for AI products transitioning from interesting demos to meaningful deployment—shifting from specialized applications to general-purpose platforms.

This article offers a comprehensive, actionable framework that spans contextual design, memory and state management, agent architecture selection, proactive issue mitigation, challenging the dashboard paradigm, and a thorough long-term cost analysis of proprietary agent development versus general AI SaaS adoption.

The author provides a comprehensive analysis of diverse investment approaches, spanning miHoYo, insurance capital, and manufacturing family offices. He frames the IPO as the beginning of the next competitive phase, not the ultimate goal. This perspective highlights the core nature of the industry: commercialization is still unclear, while R&D spending remains relentless.

Gate, a leading global crypto asset trading platform, has officially launched GateAI, a new AI-powered market intelligence assistant. The product is positioned as the industry's first AI investment support tool built with fact-driven principles at its core, aiming to help users interpret market movements more efficiently in an increasingly information-dense environment. GateAI has been fully integrated into Gate App version 8.2.0 and above, and can be accessed via the floating icon on the homepage, the sidebar shortcuts, as well as key usage scenarios, including homepage token search, spot candlestick charts, and the community feed.

The article highlights its role as an intelligent orchestration hub, working alongside SunGenX to establish a dual-core framework of "Creation Engine + Execution Copilot." This signals that "Conversation as a Service" is poised to become a critical catalyst for the widespread adoption of Web3.

The article highlights its role as an intelligent orchestration hub, forming a dual-core structure with SunGenX as a “creation engine + execution copilot,” and signals that “conversation as a service” could become a key driver of large-scale Web3 adoption.