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
What can Rally do?
AI verifies content quality, automatically distributes to creators, and coordinates the economic relationships between brands and creators at scale.
But these are impossible on traditional blockchains.
The reason is simple: traditional smart contracts are deterministic; the same input always produces the same output.
But @RallyOnChain faces massive amounts of unstructured data every day—whether a tweet is high quality, whether interactions are genuine, whether the content has original value—these questions have no standard answers and require subjective judgment.
This is the Achilles' heel of traditional public chains; if this verification logic is written into Solidity, it either cannot be executed or incurs transaction fees so high that the entire project would go bankrupt.
@GenLayer has found a solution: its smart contracts directly integrate large language model verifiers, capable of accessing real-time network data, understanding content in natural language, and making judgments.
Under an optimistic democratic consensus mechanism, multiple AI models independently evaluate the equivalence of results, rather than requiring binary consistency.
This perfectly matches Rally’s needs: not exact equality, but reasonable equivalence.
Without this layer of intelligent consensus, Rally can only fall back on centralized review or crude rule matching.
The former violates the spirit of blockchain; the latter cannot solve the deep issues of content quality.
Rally’s ability to redefine marketing is thanks to GenLayer providing the thinking capability it needs.
This is why infrastructure determines application limits.