Futures
Hundreds of contracts settled in USDT or BTC
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Futures Kickoff
Get prepared for your futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to experience 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
⚡️ Fren, the future of AI will no longer rely on traditional Web2 architecture, but will require a Web3 infrastructure specifically designed for AI.
As the CEO of 0G Labs @michaelh_0g mentioned in an interview, intelligence no longer relies solely on large models, but rather on millions of lightweight agents working together. The realization of this distributed intelligence clearly cannot depend solely on centralized servers.
👇👇👇
1. The core components of the stack
1. Real-time available data
AI cannot be separated from data. Only by ensuring that data can be shared in real-time between different AIs can they work together to make decisions quickly and accurately.
2. Verifiable reasoning computation
The reasoning and results produced by AI must be trustworthy. Verifiable computation ensures that the entire process is transparent and traceable, allowing others to audit it and avoiding black-box decision-making.
3. Index of memory and contextual recall
AI needs memory, relying not only on current data but also able to draw on experiences from past information. This way, it can continuously learn and respond more intelligently in different scenarios.
4. Million-level lightweight intelligent agent collaboration
AI will complete tasks through the collaboration of millions of intelligent agents, avoiding the single point of failure risks associated with excessive centralization, and enhancing efficiency and computational power.
2. 0G Labs' Solution: Modular Architecture
The architecture of 0G Labs adopts a decentralized, multi-consensus, and modular design, making data flow more flexible and computational power more distributed. With GPU acceleration supporting efficient computing, the system can handle both real-time data processing and complex inference verification.
3. Towards a Decentralized Intelligent Future
In the future, AI will no longer be dominated by a single large model, but will instead be composed of thousands of intelligent agents forming a powerful ecosystem. They will collaborate and learn together to solve complex problems. The decentralized AI infrastructure of 0G Labs provides a solid foundation for this future.
With the maturity of this stack, the decentralized intelligent world will become more flexible, efficient, and vibrant.
#0GLabs STARBOARD @Galxe @KaitoAI #Starboard KaitoAI #Yap @DL_Research @0G_labs