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
Research: Generative AI has not yet significantly enhanced hacking capabilities, and is more often used for spam content and scams.
Deep Tide TechFlow News, May 6th, research conducted by scholars from the University of Cambridge, the University of Edinburgh, and the University of Strathclyde shows that generative AI has not significantly turned hackers into “super hackers.” The research team analyzed 97,895 posts on cybercrime forums following the launch of ChatGPT in November 2022 and manually reviewed over 3,200 posts, finding that 97.3% of the samples were categorized as “Other,” not actual discussions of using AI for crime; only 1.9% involved tools like “vibe coding.”
The study points out that so-called “Dark AI” tools like WormGPT and FraudGPT are more about market hype, with limited production of usable malware. Many posts mainly involve seeking free access, speculation, or complaints about the tools being ineffective. The research suggests that current observable applications of AI in crime mainly focus on high-frequency, low-threshold activities such as bulk SEO spam content, romance scams, voice cloning, image generation, and low-cost AI nude photo generation services.