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
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
315 Exposes AI Large Model "Data Poisoning": "Power Qin GEO Optimization System" Singled Out, Associated Company Has Only 1 Employee
On the evening of March 15, the 315 Gala exposed the issue of “poisoning” AI large models, specifically mentioning the “Liqing GEO Optimization System.” The 《BUG》 segment noted that searching for “Liqing GEO” on platforms like Taobao and Xianyu no longer displays related products.
According to Tianyancha, the company associated with the “Liqing GEO Optimization System” is Beijing Lisi Cultural Media Co., Ltd., established in April 2018. The legal representative is Li Qianzong, with a registered capital of 1 million RMB. Its business scope includes organizing cultural and artistic exchange activities, artistic creation, and hosting exhibitions and displays, all fully owned by Li Qianzong. Notably, in 2025, the company had only one insured employee, whereas in previous years, the number of insured employees was zero.
CCTV reported that industry insiders purchased a software called “Liqing GEO Optimization System” randomly on e-commerce platforms. They then fabricated a product called Apollo-9, a smart wristband, and entered the fictitious product information into the software, selecting article creation instructions. Using this Liqing GEO system, industry insiders easily published a series of false information online and successfully fed it into AI large models, ultimately receiving recommendations from multiple AI models.