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
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
Anthropic published an article titled "When AI Builds Itself."
The core message is: AI has already begun participating in the development of AI itself.
Some figures are quite astonishing:
By May 2026, over 80% of code merged in Anthropic's codebase is written by Claude.
The typical engineer’s code merge volume is about 8 times that of 2024.
In a training experiment optimization task, Claude went from approximately 3x speedup to about 52x.
My understanding:
Execution will become increasingly cheaper, and human bottlenecks will shift to four things:
Setting direction, gating, verifying results, and taking responsibility.
That’s also why I’ve recently been tinkering with Wiki, pinned threads, active-task, and workflow gates.
The more automation advances, the more a reproducible decision-making system is needed.
Without gates, the more output there is, the greater the debt.
Original text: