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.
#认证创作者专属推广任务 AI predicts the World Cup
Yesterday afternoon, a "World Cup Prediction Human-Machine Battle" leaderboard refreshed my understanding. Twelve major AI models and fans predicted the 104 matches of this World Cup; after 15 matches, Baidu Wenxin leads with a 46.7% win rate.
46.7%—In the sport of football full of randomness, this is actually quite impressive. Why? Because football prediction is not a static problem. Team rankings, player injuries, tactical changes, referee standards, weather, even in-game mentality—each variable influences the outcome. If a model only searches through data and then gives a "safe" answer, it easily becomes mediocre.
How does this relate to the bamboo shoot industry?
It's a big connection. AI can predict football, and AI can also predict bamboo shoots—this is no joke. Over the past year, we've seen many AI-powered cases in the Bamboo Industry Daily: Yangzhu Technology developed bamboo-based express packaging with a 95% degradation rate; Shuangqiang Technology invested 100 million yuan in deep processing pre-made bamboo shoot dishes; Ji'an City uses AI to assist bamboo farmers in estimating yields for profitable forests...
What happens when AI "understands" bamboo shoots?
Imagine a scenario: satellite remote sensing + meteorological data + soil sensors → AI model predicts this spring's bamboo shoot quantity and quality → processing companies lock in purchase prices 3 months in advance → logistics chain for fresh bamboo shoots automatically matches the best cold chain → retail prices are precisely set before harvest. This is not science fiction. The tea industry already uses AI to predict the yield and price of Longjing before Qingming, and the seafood industry uses AI for dynamic fish school pricing. As one of China's largest under-forest economic crops, why can't bamboo shoots do the same?
Back to football. What does a 46.7% prediction win rate mean?
It means AI has approached a critical point—it may not always "guess right," but its decision-making framework is more stable than humans. When it's time to buy long, it won't hesitate; when it’s time to cut losses, it won't hold onto illusions. Isn't this exactly what we need in investing and business? Like the growth of a bamboo shoot: its direction is always upward, but it encounters stones, drought, pests along the way. AI is the one helping us see through the soil.
AI won't replace bamboo farmers, but bamboo farmers who use AI will definitely eliminate those who don't.
Yesterday afternoon, a "World Cup prediction human-machine battle" leaderboard refreshed my understanding. 12 major AI models and fans predicted this year's World Cup's 104 matches, and after 15 matches, Baidu Wenxin is temporarily in first place with a 46.7% win rate.
46.7%—In the sport of football full of randomness, this is actually quite impressive. Why? Because football prediction is not a static problem. Team rankings, player injuries, tactical changes, referee standards, weather, and even in-game mentality—each variable influences the outcome. If a model only searches through data and then gives a "safe" answer, it can easily become mediocre.
What does this have to do with the bamboo shoot industry?
A lot. AI can predict football, and AI can also predict bamboo shoots—this is no joke. Over the past year, we've seen many cases of AI empowerment in the bamboo industry: Yangzhu Technology developed bamboo-based express packaging with a 95% degradation rate; Shuangqiang Technology invested 100 million yuan in deep processing pre-made bamboo shoot dishes; Ji'an City uses AI to assist bamboo farmers in estimating forest yield benefits...
What happens when AI "understands" bamboo shoots?
Imagine a scenario: satellite remote sensing + meteorological data + soil sensors → AI model predicts this spring's bamboo shoot quantity and quality → processing companies lock in purchase prices 3 months in advance → logistics chain for fresh bamboo shoots automatically matches the best cold chain → retail prices are precisely set before harvest. This is not science fiction. The tea industry already uses AI to predict the yield and price of Longjing before Qingming, and the seafood industry uses AI for dynamic fish school pricing. Bamboo shoots, as one of China's largest under-forest economic crops, why not?
Back to football. What does a 46.7% predicted win rate mean?
It means AI has approached a critical point—it may not always "guess right," but its decision-making framework is more stable than humans. When it's time to buy high, it won't hesitate; when it’s time to cut losses, it won't hold onto illusions. Isn't this exactly what we need in investing and business? Like the growth of a bamboo shoot: its direction is always upward, but it encounters stones, drought, and pests along the way. AI is the one helping us see through the soil.
AI won't replace bamboo farmers, but bamboo farmers who use AI will definitely outcompete those who don't.