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 cautiously advances its AI strategy and establishes three core principles
Deep Tide TechFlow News, May 2nd, Berkshire Hathaway has adopted a cautious and pragmatic approach to advancing AI applications. The company explicitly states that it will not blindly pursue general-purpose AI but will focus on precisely applying narrow AI to real business scenarios.
To this end, Berkshire Hathaway has established three core application principles:
First, introduce top-tier technical talent and engineering teams to drive deployment, with senior management and experienced teams involved in system architecture and implementation;
Second, strictly adhere to safety governance bottom lines, strengthen data integration and risk control, and continuously verify that AI output results align with business objectives;
Third, insist that core decision-making authority 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.
At the same time, the company also emphasizes retraining employees’ skills to adapt to job transformations in the AI era, and strictly control operational and compliance risks associated with technological applications, ensuring that AI complements rather than replaces core business functions. (Jin10)