该项目极有可能是一个早期阶段的 DePIN 或 AI 数据项目,具有一定潜力,但风险极高。
查看项目官方Twitter发布的推文
3️⃣ NINETEEN (SN19) - Speed Demon 💨 $18M market cap with upside potential Decentralized AI inference for text/image Fast, scalable architecture Another Rayon Labs powerhouse
3️⃣ NINETEEN (SN19) - 速度之魔 💨 市值1800万美元,具有上涨潜力 去中心化AI推理(文本/图像) 快速、可扩展的架构 Rayon Labs的又一力作
Smart money isn’t asking wen moon? Asking: WTF this subnet actually do? Looking for financial AI with real edge? Use PTN (SN8) – Proprietary Trading Network by Taoshi. Alpha-generating signals from decentralized miners. Want to train an agent? Use Gradients (SN56) – AutoML training for image & text models. Anyone can train. Zero coding required. Want to deploy it? Use Chutes (SN64) – Serverless, decentralized compute. Deploy AI models with blazing speed. Need secure execution? TEEs are rolling out – Trusted Execution Environments for enterprise-grade security. Want decentralized storage for model files? Use Hippius (SN75) – Distributed file storage + IPFS + validator-backed data management. Need validators to enforce honest learning? Use Templar (SN3) – Cosine similarity checks + collaborative model training + structured validator scoring. Want live inference at lightning speed? Use Nineteen (SN19) – Real-time outputs for agent reasoning, LLM-backed by deepseek + optimized latency. Want to connect subnets like neurons? Use Squad – The interface for agents. One-click creation. Built on top of Gradients, Chutes, and Nineteen. Want to train efficiently on smaller datasets? Use Pretrain LLMs (SN9) – Offers model updates that focus on quality delta contributions across narrow tasks. Need research-grade evaluation with UX? Use Vision (SN19) – Tools for visualization, response tracking, and more, fueling the frontend of agents. Need to onboard models from other tools? Use DataVerse (SN13) – Seamless pipelines and dataset flow. Makes agent training plug-and-play. Looking to generate new models from scratch? Use Targon (SN4) – Handles compute-intensive jobs, great for original model deployment or simulation. The stack is building. $TAO is the energy. Subnets are the organs. Total Subnet Market Cap: $169,976,557.02 24h Trading Volume: $14,704,102.91 This isn't just market activity, it's value creation. This isn’t hype, it’s adoption.
聪明钱不再问何时暴涨?而是问:这个子网到底有什么用? 寻找真正有优势的金融AI? 使用PTN(SN8)——Taoshi的专有交易网络。来自去中心化矿工的阿尔法生成信号。 想训练一个代理? 使用Gradients(SN56)——用于图像和文本模型的AutoML训练。任何人都可以训练。无需编码。 想部署它? 使用Chutes(SN64)——无服务器、去中心化计算。以极快速度部署AI模型。 需要安全执行? TEEs正在推出——企业级安全性的可信执行环境。 需要模型文件的去中心化存储? 使用Hippius(SN75)——分布式文件存储+IPFS+验证者支持的数据管理。 需要验证者来确保诚实学习? 使用Templar(SN3)——余弦相似性检查+协作模型训练+结构化验证者评分。 想要闪电般的实时推理? 使用Nineteen(SN19)——代理推理的实时输出,由deepseek支持+优化的延迟。 想将子网像神经元一样连接? 使用Squad——代理的界面。一键创建。建立在Gradients、Chutes和Nineteen之上。 想在较小的数据集上高效训练? 使用Pretrain LLMs(SN9)——提供专注于窄任务质量增量贡献的模型更新。 需要具有用户体验的研究级评估? 使用Vision(SN19)——可视化工具、响应跟踪等,推动代理的前端。 需要从其他工具导入模型? 使用DataVerse(SN13)——无缝管道和数据集流。使代理训练即插即用。 想从头开始生成新模型? 使用Targon(SN4)——处理计算密集型工作,非常适合原始模型部署或模拟。 整个堆栈正在构建。$TAO是能量。子网是器官。 子网总市值:$169,976,557.02 24小时交易量:$14,704,102.91 这不仅仅是市场活动,而是价值创造。 这不是炒作,而是采用。