Futures
Access hundreds of perpetual contracts
CFD
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
CFD
Stock CFD Derivatives
US Stocks
Access real US stocks and ETFs
HK Stocks
Trade quality Hong Kong-listed stocks
Korean Stocks
SK Hynix
Real Korean stocks and top assets
Stock Futures
High leverage, 24/7 trading
Tokenized Stocks
Backed by real stock assets
IPO Access
Unlock full access to global stock IPOs
GUSD
3.8%
Mint GUSD for Treasury RWA yields
Stocks Activities
Trade Popular Stocks and Unlock Generous Airdrops
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.
According to BlockBeats, OpenAI introduced a pre-deployment simulation method on July 2 to improve the quality of AI-generated mental health advice. This method uses real user conversations from the deployed version to test unreleased models, reviewing and optimizing responses to identify potential issues before official release. As users increasingly seek mental health guidance through large language models including ChatGPT, Claude, Gemini, and Grok—platforms not specifically designed for mental health scenarios—this simulation method aims to enhance the safety and effectiveness of advice while reducing the risk of misleading information.
The method uses real user conversations from deployed versions to test unreleased models, review and optimize responses, and identify potential issues before official release.
As users increasingly seek mental health guidance through large language models including ChatGPT, Claude, Gemini, and Grok — platforms not specifically designed for mental health scenarios — this simulation method aims to improve the safety and effectiveness of advice while reducing the risk of potential misinformation.