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
Vitalik's Programming Vision: Ethereum and the Future of AI Through Four Short Maxims
Vitalik Buterin, co-founder of Ethereum, shared his latest vision on integrating the Ethereum platform with AI applications, focusing on four short-term trends that could shape the next evolution path. These brief insights reflect a deep understanding of how cryptography and decentralization can contribute to building a safe and reliable AI future.
Core Principles: Freedom and Security Above All
Vitalik explained that the ideal future of AI integration should be based on two fundamental goals. The first aims to empower humans and enhance their freedom, avoiding scenarios where AI replaces humans or imposes unchangeable power structures. The second concerns ensuring system safety and avoiding existential risks from superintelligent AI, as well as preventing chaos resulting from imbalances between attack and defense capabilities.
Path One: Technical Foundations and Privacy as a Base
The first trend focuses on developing technical tools that support trustless interactions with full privacy guarantees. This includes building strong local language models, advancing zero-knowledge proof systems, and improved privacy solutions supported by token mechanisms. It also involves creating verification methods for all proofs and attestations directly on the client side, eliminating the need for intermediaries or third parties.
Path Two: Ethereum as an Economic Coordination Layer
Vitalik proposes developing Ethereum into the primary economic and coordination layer for AI-related interactions. This involves calling advanced APIs, mechanisms for autonomous robot employment and collaboration, and comprehensive assurance systems. It also includes building on-chain dispute resolution infrastructure and developing reputation systems for AI that operate efficiently in the future.
Path Three: Distributed Verification and Autonomy
This trend emphasizes advancing the concept of “self-verification” into practical use, enabling users to interact directly with Ethereum applications via local smart models. This allows users to independently create and verify transactions, conduct thorough audits of smart contracts, and assess trust models for decentralized applications before engaging with them.
Path Four: Expanded Governance and Smart Collaboration
The fourth trend uses AI to expand human capabilities and collective cooperation, activating advanced governance mechanisms such as prediction markets, decentralized voting, and quadratic voting. This enables the creation of more efficient, inclusive, and adaptable economic and governance systems capable of tackling complex challenges.
Strategic Significance: Cryptography and AI as Transformative Forces
Vitalik concluded that these four brief insights reflect a comprehensive vision for achieving decentralized cooperation and system robustness through technology. He sees the integration of AI and cryptography as capable of pushing social and economic design into new horizons previously limited by human cognitive and coordination capacities.