12 月 ETH 价格预测 · 发帖挑战 📈
12 月降息预期升温,ETH 热点回暖,借此窗口期发起行情预测互动!
欢迎 Gate 社区用户 —— 判趋势 · 猜行情 · 赢奖励 💰
奖励 🎁:预测命中的用户中抽取 5 位,每位 10 USDT
时间 📅:预测截止 12 月 11 日 12:00(UTC+8)
参与方式 ✍️:
在 Gate 广场发布 ETH 行情预测帖,写明价格区间(如 $3,200–$3,400,区间需<$200),并添加话题 #ETH12月行情预测
发帖示例 👇
示例①:
#ETH12月行情预测
预测区间:$3,150-$3,250
行情偏震荡上行,若降息如期落地 + ETF 情绪配合,冲击前高可期 🚀
示例②:
#ETH12月行情预测
预测区间:$3,300-$3,480
资金回流 + L2 降费利好中期趋势,向上试探 $3,400 的概率更高 📊
评选规则 📍
以 12 月 11 日 12:00(UTC+8)ETH 实时价格为参考
价格落入预测区间 → 视为命中
若命中人数>5 → 从命中者中随机抽取 5 位 🏆
0G Labs Launches Aristotle Mainnet: Largest Day-One Ecosystem for Decentralized AI
On September 21, 2025, 0G Labs launched the Aristotle Mainnet and Token Generation Event (TGE) in Singapore, creating the largest day-one ecosystem for decentralized AI with over 100 partners including Chainlink, Google Cloud, and Coinbase Wallet. The modular Layer-1 blockchain unifies storage, compute, and data availability, aiming to make AI a public good by dismantling technological and geopolitical barriers. With $65 million raised in 2025, the 0G Labs launches Aristotle Mainnet positions it for production-grade AI applications in a $3.5 trillion cryptocurrency market. This article explores the launch details, features, partnerships, implications, and outlook for decentralized AI.
Launch at a Glance
The 0G Labs launches Aristotle Mainnet as a complete modular decentralized operating system, following benchmarks on Testnet V3 (Galileo) that surpassed throughput and finality targets. Designed for verifiable AI execution, it supports global-scale applications from day one. The TGE accompanies the mainnet, marking 0G Labs’ entry into decentralized intelligence infrastructure. CEO Michael Heinrich stated: “Our mission at 0G is to make AI a public good, which involves dismantling barriers, whether geopolitical or technological, and this launch marks a milestone in that journey.”
Why the Ecosystem Stands Out
The 0G Labs launches Aristotle Mainnet with the largest day-one ecosystem, uniting over 100 partners across validators, DeFi protocols, and infrastructure providers. This includes Chainlink, Google Cloud, Alibaba Cloud, Coinbase Wallet, Binance Wallet, MetaMask, Ankr, Ledger, Fireblocks, and Figment. The platform’s modular design enables an open AI-native economy, ensuring AI isn’t confined to Big Tech silos but accessible to all. With fully operational indexing, SDKs, RPCs, and security services, it supports production-grade workloads immediately.
Funding and Growth Drivers
The 0G Labs launches Aristotle Mainnet backed by $65 million raised in 2025—$35 million in equity rounds and $30 million through AI node and token sales—indicating strong demand for decentralized AI infrastructure. Drivers include the need for verifiable AI to counter Big Tech dominance, with the mainnet unifying storage, compute, and data availability. Heinrich emphasized: “Together, we are building the first AI chain with a complete modular decentralized operating system.”
Practical Impacts for DeFi and AI
The 0G Labs launches Aristotle Mainnet enables practical applications like decentralized AI models for machine learning and data processing, fostering an unstoppable AI economy. Partners provide tools for secure, scalable development, from wallets to cloud services. In a $3.5 trillion cryptocurrency market, this could accelerate DeFi-AI integrations, enhancing efficiency in sectors like finance and healthcare.
Token and Market Insights
The TGE in the 0G Labs launches Aristotle Mainnet introduces the native token for ecosystem incentives, governance, and transactions. Market dynamics show strong partner support boosting TVL potential. In a $3.5 trillion cryptocurrency market, this positions 0G for growth, contrasting centralized AI with open alternatives.
Final Take
The 0G Labs launches Aristotle Mainnet on September 21, 2025, with 100+ partners, creates the largest day-one decentralized AI ecosystem, backed by $65 million. In a $3.5 trillion market, it unlocks AI as a public good. For tips, integrate 0G SDKs for AI apps and monitor partner updates for opportunities. Explore decentralized storage for data projects.