Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
GateRouter
Smartly choose from 40+ AI models, with 0% extra fees
Berkshire Hathaway refuses to follow the trend of investing in AI and cautiously advances the three major application principles
ME News Report, May 2nd (UTC+8), Berkshire CEO Abel stated at the shareholders’ meeting that we will not do AI just for the sake of AI. Only when real value is seen will we make investments. The application of artificial intelligence will create opportunities across all business sectors. Berkshire is taking a cautious and pragmatic approach to advancing AI applications, clearly stating that it will not blindly pursue general AI, but instead focus on precisely applying narrow AI to practical business scenarios. To this end, Berkshire has established three core application principles:
First, introduce top-tier technical talent and engineering teams to promote deployment, with senior executives and experienced teams involved in system architecture and implementation;
Second, strictly adhere to safety governance bottom lines, strengthen data integration and risk prevention, and continuously verify that AI output results align with business objectives;
Third, insist that core decision-making must be controlled by humans, with AI serving only as an auxiliary tool, and all key management, risk control, and business decisions fully handled by humans. (Source: BlockBeats)