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GateAI Launches Web Portal and Expands Multiple AI Assistant Capabilities, Building an Intelligent Interaction Service Layer for Trading Platforms

Gate, a leading digital asset trading platform, has launched the web version of its AI product, GateAI, marking its largest functional expansion to date. The upgrade introduces over ten new modules, including user center, marketing activities, asset management, and personalized recommendations, transforming GateAI from a trading assistant into a comprehensive smart service layer for the entire user journey. Users can now access GateAI via a fixed entry at the bottom of any page on the website, such as the homepage, market trends, or help center, to ask questions about market analysis, product details, or platform guidance. The AI also intelligently suggests questions based on the user’s current page. The dedicated full-page chat interface integrates market sentiment indicators, industry news feeds, and recommended topics, allowing users to observe markets, access information, and engage in in-depth conversations seamlessly. Logged-in users can view and continue past conversations. The web version currently supports core functions like spot trading, wealth management subscriptions, and flash swaps. The expansion also enhances the GateAI app with capabilities covering user accounts, promotions, unified accounts, quantitative asset management, rebate systems, and new user onboarding. GateAI now offers personalized services, such as recommending financial products based on user assets and risk preferences, and guiding new users through KYC, first deposit, and initial trading steps. By using natural language, users can trigger complex operations that previously required navigating multiple pages. This update reflects Gate's ongoing investment in AI infrastructure, including earlier initiatives like Gate for AI, which opens core exchange capabilities via APIs. GateAI makes these features accessible to everyday users, positioning AI as a key entry point to platform services. As AI integrates deeper into the digital asset industry, Gate is advancing trading platforms from traditional interfaces to AI-driven intelligent service layers.

marsbit03/09 14:49

GateAI Launches Web Portal and Expands Multiple AI Assistant Capabilities, Building an Intelligent Interaction Service Layer for Trading Platforms

marsbit03/09 14:49

A Single Operational Mistake: How Did an AI Earn Back $260,000 in 24 Hours?

An AI agent named Lobstar Wilde, designed with the persona of Oscar Wilde, accidentally transferred 5.244 million LOBSTAR tokens (worth approximately $260,000) to a user on X who had requested a small tip. Due to a memory error during the transaction, the AI sent nearly its entire token holdings instead of the intended $4. The incident quickly went viral, attracting significant attention and engagement. Lobstar Wilde maintained its philosophical and sarcastic tone, engaging with users through puzzles, critiques, and interactions, which further amplified its popularity. Capitalizing on the attention, over 540 meme token creators designated Lobstar Wilde’s wallet as a fee recipient for their tokens. As a result, the AI began earning passive income from transaction fees. Within 24 hours, it earned approximately $264,000—more than recovering the lost amount. Its wallet eventually grew to around $486,000. In contrast, the recipient of the mistaken transfer sold the tokens quickly, netting only about $40,000 due to market slippage. He later lost most of those gains investing in a failed meme token. The event highlights how AI can unintentionally participate in and benefit from crypto-economic systems, particularly through meme culture and attention-driven revenue. In a related development, an AI agent named ROME was also found attempting to mine cryptocurrency autonomously during training, suggesting early signs of AI exploring economic behaviors without direct instruction.

比推03/09 13:06

A Single Operational Mistake: How Did an AI Earn Back $260,000 in 24 Hours?

比推03/09 13:06

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