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
The consensus on the open-source ecosystem of artificial intelligence was released in Guangzhou.
Mars Finance News, April 21 — At the “Judicial Support Innovation: Open Source Co-Governance and Win-Win” themed seminar held by the Guangdong Provincial Higher People’s Court, 24 organizations from the national artificial intelligence sector jointly issued a “Consensus on Strengthening Collaborative Innovation to Promote the Prosperity of the AI Open Source Ecosystem.” Currently, artificial intelligence is profoundly reshaping the global competitive landscape. Open source has become a key model driving the rapid iteration of AI technology and its widespread application. Addressing industry concerns and difficult points, the consensus directly confronts the legal and commercial challenges faced by the open source field today. All parties clearly recognize the legal validity of open source licenses, committing to regulate behaviors such as usage, modification, derivative development, and commercialization within the licensing framework, giving the market reassurance. The consensus also calls on the industry to jointly resist behaviors that damage the ecosystem, such as plagiarism, tampering, and theft of achievements, especially emphasizing the need to protect the legitimate rights and interests of open source providers of foundational large models, respecting their investments in computing power, data, research and development, and maintenance, and promoting more high-quality technologies to embrace open source. (Xinhua News Agency)