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
U.S. stock CFD derivatives
US Stocks
Access real US stocks and ETFs
HK Stocks
Trade quality Hong Kong-listed stocks
Stock Futures
High leverage, 24/7 trading
Tokenized Stocks
Backed by real stock assets
IPO Access
Unlock full access to global stock IPOs
GUSD
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
IPO Access
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.
Anthropic releases 400k conversation study: understanding business is more important than knowing code, non-programmers have success rates on par with software engineers
Large models have reshaped human-machine division of labor, with users leading about 70% of planning decisions and intelligent agents handling approximately 80% of specific execution decisions. Business experts who understand how to decompose and standardize delegated tasks can guide large models to perform more effectively; expert-level conversations can trigger 12 actions and produce 3,200 words per session, more than five times that of novice-level conversations. In contrast, novices are very likely to give up when encountering errors, with a frustration abandonment rate of up to 19%, while intermediate and expert users, even when facing difficulties, have abandonment rates of only 5% to 7%. Research proves that just moderate industry-specific knowledge in a particular field can enable seamless crossing of programming barriers through intelligent agents, resulting in a leap in personal productivity.
Developers' use of intelligent agents is shifting from debugging code to end-to-end autonomous creation. Over seven months, the proportion of debugging sessions used to fix broken code has halved from 33% to 19%, while the share of direct deployment, data analysis, and writing non-code documents has doubled. Users are also beginning to delegate more complex and high-value tasks, with the average estimated value of tasks increasing by about 25% over the seven months.