Fabius DeFi，一个几乎被Web3世界遗忘的名字。项目信息极度匮乏，官网（t.me/FabiusDefi）已成死链，社交媒体一片死寂。根据极其有限的信息推测，该项目可能曾试图在DeFi领域有所作为，例如探索代币分发机制或构建Layer2解决方案。但这些都已成过眼云烟，没有任何实际进展或成果。与其浪费时间挖掘坟墓，不如立即寻找下一个潜在的独角兽。
查看项目官方Twitter发布的推文
@FabiusDefi DePAIN is the future! The convergence of DePIN and AI is opening up a whole new era of automation and intelligence.
@FabiusDefi DePAIN 是未来！DePIN 和 AI 的融合正在开启一个自动化和智能的全新时代。
@FabiusDefi DePAIN is to weird of a call. DePAI is better and it is also good if they are just categories of DePIN instead of trying to establish a new narrative for it.
@FabiusDefi DePAIN 这个称呼太奇怪了。DePAI 更好，而且如果它们只是 DePIN 的类别而不是试图为其建立一个新的叙事，那也很好。
DePAIN = DePIN x AI 📚 2025 is the year for #DePAIN! The AI agentic landscape has been buzzing with digital use cases for a while. But as we inch closer to artificial general intelligence (AGI), I’m seeing the spotlight shift in a big way. It’s all about Physical AI now – AI agents stepping out of the digital realm and into the physical world, interacting with factories, warehouses, and beyond. @nvidia's Vice President of Omniverse and Simulation technology – @RevLebaredian put it perfectly: “Physical AI will completely revolutionize the world’s industrial markets, bringing AI into 10 million factories and 200,000 warehouses” And I couldn’t agree more, this shift is ushering in a new era of Physical AI Agents and something called #DePAIN = Decentralized Physical AI Networks if you’re curious. Industries like manufacturing, logistics, agriculture, and healthcare are about to get a significant glow-up as AI learns to sense, understand, and act in real-world environments. ✨ My Take on NVIDIA’s Latest Drop Let’s talk about NVIDIA’s Cosmos™, a game-changer they unveiled recently that’s got me hyped. This platform is like the ultimate toolkit for physical AI, packing: ▫️ World Foundation Models (WFM) for super-smart, adaptable AI. ▫️ Built-in guardrails to keep things safe and responsible. ▫️ Advanced tokenizers that turbocharge large language models and computer vision for real-world tasks. I’ve seen how robotics, autonomous vehicles, and vision AI developers are already jumping on Cosmos to fast-track their projects. And NVIDIA didn’t stop there, they dropped Edify SimReady – a GenAI model that labels 3D assets automatically. We’re talking thousands of objects processed in minutes instead of 40+ hours of manual grind. They’ve also rolled out new blueprints for their Omniverse platform. ▫️ Mega for testing robot fleets in virtual factories ▫️ AV Simulation for self-driving car testing ▫️ Even Omniverse Spatial Streaming to Apple Vision Pro for immersive digital twins Plus, Real-Time Digital Twins for CAE brings physics visualization to life with NVIDIA’s CUDA-X tech. It’s clear: real-time data and accuracy are everything for AI robotics and industrial automation, and that’s where DePIN comes in. ✨ Why I’m Obsessed with DePIN DePIN is the secret sauce here. It gives AI agents: ▫️ Reliable, real-time data while keeping things community-owned ▫️ No single point of failure, just broader access and control Imagine physical AI agents tapping into constant sensor updates to optimize resources, cut downtime, and get stuff done faster than ever. With @deepseek_ai slashing compute costs while keeping performance high, the demand for decentralized computing in DePIN is skyrocketing. ✨ IoTeX x ElizaOS: The Collab I Can’t Stop Talking About They bring decentralized control to physical devices, and it’s next-level cool. Within @iotex_io's ecosystem, you’ve got: 🔸 @nubilanetwork: 10,000+ decentralized weather stations giving real-time atmospheric data. 🔸 @GEODNET_: 2,000+ GNSS stations for pinpoint geospatial accuracy. Pebble Tracker: A hardware gem collecting verified GPS, temp, and motion stats. 🔸 @Bino_AI $SENTAI: the first DePIN-aware AI agent, built on @elizaOS and @iotex_io. 🔸 I’ve been geeking out over how it uses live data streams to perceive and interact with the world, growing smarter over time. 🔸 QuickSilver Framework: The Open-Source Magic ▫️ Then there’s QuickSilver – an open-source framework blending AI with DePINs to create sentient AI agents. ▫️ Built on 8 years of DePIN infrastructure, it’s set to launch its testnet in Q1 2025. ▫️ It hooks up Large Language Models with DePINs for real-time data, decision-making, and automation. ▫️ Devices with ioIDs collect verified data using ZKPs, which QuickSilver aggregates to train AI agents for autonomous action. ▫️ It’s modular, it’s smart, and it’s got me counting down the days. ✨ My 2025 Prediction I’m calling it now: 2025 is the year of DePIN x AI. The fusion of decentralized networks and agentic AI is about to transform how we interact with the physical world. I’m always down to chat with teams pushing the boundaries here, hit me up if you’re one of them! #DePAIN #DePIN #AI #NVIDIA
DePAIN = DePIN x AI 📚 2025年是#DePAIN的一年！ AI代理领域已经有一段时间在数字用例中引起了轰动。 但随着我们逐渐接近人工通用智能（AGI），我看到焦点发生了重大转变。 现在都是关于物理AI——AI代理从数字领域步入物理世界，与工厂、仓库等互动。 @nvidia的Omniverse和模拟技术副总裁@RevLebaredian说得很好： “物理AI将彻底改变世界工业市场，将AI带入1000万家工厂和20万个仓库” 我完全同意，这种转变正在引领物理AI代理的新时代，以及一种叫做#DePAIN = 去中心化物理AI网络的东西，如果你好奇的话。 制造业、物流、农业和医疗等行业将随着AI学会感知、理解和在现实环境中行动而得到显著提升。 ✨ 我对NVIDIA最新发布的看法 让我们谈谈NVIDIA的Cosmos™，这是他们最近发布的一个改变游戏规则的东西，让我非常兴奋。这个平台就像是物理AI的终极工具包，包含： ▫️ 世界基础模型（WFM），用于超级智能、适应性强的AI。 ▫️ 内置的护栏，确保安全和负责任。 ▫️ 先进的标记器，为现实世界任务中的大型语言模型和计算机视觉提供加速。 我已经看到机器人、自动驾驶汽车和视觉AI开发者如何迅速采用Cosmos来加速他们的项目。 NVIDIA并没有止步于此，他们还发布了Edify SimReady——一个自动标记3D资产的GenAI模型。 我们谈论的是在几分钟内处理数千个对象，而不是40多个小时的手动工作。 他们还为Omniverse平台推出了新的蓝图。 ▫️ Mega用于在虚拟工厂中测试机器人车队 ▫️ AV Simulation用于自动驾驶汽车测试 ▫️ 甚至Omniverse Spatial Streaming到Apple Vision Pro，用于沉浸式数字孪生 此外，实时数字孪生CAE通过NVIDIA的CUDA-X技术将物理可视化变为现实。 很明显：实时数据和准确性对于AI机器人和工业自动化至关重要，而这正是DePIN的用武之地。 ✨ 为什么我对DePIN着迷 DePIN是这里的秘密武器。它为AI代理提供： ▫️ 可靠的实时数据，同时保持社区所有权 ▫️ 没有单点故障，只有更广泛的访问和控制 想象一下，物理AI代理通过不断更新的传感器数据来优化资源，减少停机时间，并比以往更快地完成任务。 随着@deepseek_ai在保持高性能的同时大幅降低计算成本，DePIN中对去中心化计算的需求正在飙升。 ✨ IoTeX x ElizaOS：我无法停止谈论的合作 他们为物理设备带来了去中心化控制，这非常酷。在@iotex_io的生态系统中，你有： 🔸 @nubilanetwork：10,000多个去中心化气象站，提供实时大气数据。 🔸 @GEODNET_：2,000多个GNSS站，提供精确的地理空间数据。 Pebble Tracker：一个硬件宝石，收集经过验证的GPS、温度和运动数据。 🔸 @Bino_AI $SENTAI：第一个DePIN感知的AI代理，基于@elizaOS和@iotex_io构建。 🔸 我一直在研究它如何使用实时数据流来感知和与世界互动，随着时间的推移变得越来越聪明。 🔸 QuickSilver框架：开源魔法 ▫️ 然后是QuickSilver——一个将AI与DePIN结合的开源框架，用于创建有感知的AI代理。 ▫️ 基于8年的DePIN基础设施构建，它将在2025年第一季度推出其测试网。 ▫️ 它将大型语言模型与DePIN连接起来，用于实时数据、决策和自动化。 ▫️ 带有ioID的设备使用ZKP收集经过验证的数据，QuickSilver将这些数据聚合起来训练AI代理进行自主行动。 ▫️ 它是模块化的，它是智能的，它让我每天都在倒数。 ✨ 我的2025年预测 我现在就预言：2025年是DePIN x AI的一年。 去中心化网络与代理AI的融合将彻底改变我们与物理世界的互动方式。 我总是愿意与在这里推动边界的团队聊天，如果你是其中之一，请联系我！ #DePAIN #DePIN #AI #NVIDIA
AI agents are integrating with physical infrastructure. DePAIN and IoTeX collaborations indicate a shift towards decentralized physical AI networks. These developments could redefine manufacturing and logistics, driving efficiency and innovation in industries reliant on physic…
AI代理正在与物理基础设施集成。DePAIN和IoTeX的合作表明向去中心化物理AI网络的转变。这些发展可能重新定义制造业和物流业，推动依赖物理的行业的效率和创新。