Gaal,定位为Web3领域的AI Copilot,直击投资者、交易员以及空投猎人们的痛点。它并非简单的信息聚合器,而是利用AI深度赋能,加速项目研报生成,辅助量化交易决策,并精准定位潜在的空投机会。
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If it is Sophon Network, then Sophon's current competitors can be divided into aspects: 🧠 1. AI + Blockchain competitors (AI Agents, DePIN, decentralized compute) 🔹 Bittensor (TAO) Decentralized AI network where nodes contribute ML models and are rewarded with tokens. Leading the way in incentives for ML and compute. 🔹 Gensyn Decentralized GPU compute network for AI model training. Aiming to solve the high cost problem of AI training. 🔹 https://t.co/w25sdOrIA4 Decentralized GPU resource provision infrastructure from unused resources (DePIN), hot on Solana. Strong focus on the compute layer. 🔹 Numeraire (Numerai) Combining AI and crypto in the field of financial data modeling using crowdsourced ML. 🔹 https://t.co/TzzIQMoY85 / SingularityNET (AGIX) Decentralized AI group developing many AI agents in the fields (medical, language, robotics). 🧱 2. AI infrastructure layer competitor (AI-centric L2 / zk / modular infra) 🔹 Aethir Strong competitor in GPU infrastructure, working on cloud GPU network. Has a vision similar to https://t.co/w25sdOrIA4 but in the direction of professional cloud. 🔹 Modulus Labs Focuses on integrating AI into blockchain through zero-knowledge proofs (zkML). Leading in zk + AI layer. 🔹 Ritual A new project receiving large investment from Polychain. Aiming at a platform for AI Agents on blockchain. 🤖 3. Competitors in AI agents and agent interaction networks 🔹 Autonolas Focuses on autonomous agents, creating complex logic applications on the chain. Directly competes if Sophon builds an agent network. 🔹 FET (https://t.co/JF1n1gLCGU) One of the oldest AI projects, aiming at agent interaction and communication networks. 🔹 MyShell / CharacterX / Mind Network Projects that build AI agent communication models (voice, avatar, etc.). ✨ Quick summary:
如果是Sophon Network,那么Sophon目前的竞争对手可以分为以下几个方面:🧠 1. AI + 区块链竞争对手(AI代理、DePIN、去中心化计算)🔹 Bittensor (TAO) 去中心化AI网络,节点贡献ML模型并获得代币奖励。在ML和计算激励方面领先。🔹 Gensyn 用于AI模型训练的去中心化GPU计算网络。旨在解决AI训练的高成本问题。🔹 https://t.co/w25sdOrIA4 来自未使用资源的去中心化GPU资源提供基础设施(DePIN),在Solana上很热门。强烈关注计算层。🔹 Numeraire (Numerai) 在金融数据建模领域结合AI和加密技术,使用众包ML。🔹 https://t.co/TzzIQMoY85 / SingularityNET (AGIX) 去中心化AI团体,开发多个领域的AI代理(医疗、语言、机器人)。🧱 2. AI基础设施层竞争对手(以AI为中心的L2 / zk / 模块化基础设施)🔹 Aethir GPU基础设施的强大竞争对手,致力于云GPU网络。与https://t.co/w25sdOrIA4有相似的愿景,但方向是专业云。🔹 Modulus Labs 专注于通过零知识证明(zkML)将AI集成到区块链中。在zk + AI层领先。🔹 Ritual 一个从Polychain获得大量投资的新项目。目标是区块链上的AI代理平台。🤖 3. AI代理和代理交互网络中的竞争对手🔹 Autonolas 专注于自主代理,在链上创建复杂逻辑应用。如果Sophon构建代理网络,将直接竞争。🔹 FET (https://t.co/JF1n1gLCGU) 最古老的AI项目之一,旨在实现代理交互和通信网络。🔹 MyShell / CharacterX / Mind Network 构建AI代理通信模型(语音、头像等)的项目。✨ 快速总结:
Barry Silbert is back in the game with Yuma, targeting Bittensor (TAO) as the next big thing in crypto. The focus on decentralized AI is set to shift the crypto landscape, much like Bitcoin and Ethereum did. With plans to educate and build an ecosystem around Bittensor, expect a rise in subnets that cater to AI tasks. This isn’t just another fad; it’s a concrete investment theme that aligns crypto with evolving tech trends. Those who are paying attention should monitor the developments closely. #crypto $TAO
Barry Silbert带着Yuma重回赛场,将Bittensor(TAO)视为加密货币领域的下一个重大事件。对去中心化人工智能的关注将改变加密货币的格局,就像比特币和以太坊曾经做到的那样。围绕Bittensor的教育和生态系统建设计划,预计将出现更多专注于人工智能任务的子网。这不仅仅是一时的潮流;这是一个具体的投资主题,将加密货币与不断发展的技术趋势相结合。那些关注的人应该密切关注发展。#加密货币 $TAO