Assisterr是基于Solana链的去中心化AI平台,专注于小型语言模型(SLM)和社区驱动的AI Agent。它旨在赋能开发者和社区,使其能够便捷地构建、训练和商业化AI模型,并最终实现AI开发的社区自治和所有权。简而言之,Assisterr正在构建一个AI领域的DePIN,目标是降低AI模型的创建和使用门槛,并实现AI资产的Token化。
查看项目官方Twitter发布的推文
🚀 Big news from the AI frontier! @TheoriqAI 🤝 @AssisterrAI have officially joined forces to supercharge the decentralized AI landscape. Here’s what this powerful partnership unlocks: 🧠 Cross-Platform Integration Assisterr’s SLMs will now run on Theoriq’s platform — and Theoriq’s Agents will be accessible via Assisterr’s AI Model Store. Double the reach, double the impact. 📊 Data Provenance for Accuracy Assisterr’s transparent data validation system will empower Theoriq’s community to reward accurate contributions, making AI agents smarter and more reliable. 💸 New Earning Opportunities Model builders, validators, and data contributors can now tap into both ecosystems for exposure and rewards. This isn’t just a collab — it’s a move toward a smarter, fairer AI economy. Let’s build the future together. ⚡️ #TheoriqAI #Assisterr #KaitoAI
🚀 来自AI前沿的重大新闻! TheoriqAI 🤝 AssisterrAI 正式联手,为去中心化AI领域注入强大动力。 这一强大合作将带来以下突破: 🧠 跨平台集成 Assisterr的SLM现在将在Theoriq的平台上运行,而Theoriq的智能体将通过Assisterr的AI模型商店访问。双倍覆盖,双倍影响。 📊 数据溯源确保准确性 Assisterr透明的数据验证系统将赋能Theoriq社区奖励准确贡献,使AI智能体更智能可靠。 💸 新的盈利机会 模型构建者、验证者和数据贡献者现在可以接入两个生态系统获得曝光和奖励。 这不仅是合作——更是迈向更智能、更公平AI经济的行动。让我们一起构建未来。⚡️ #TheoriqAI #Assisterr #KaitoAI
Meet Assisterr AI: Pioneering the Future of Decentralized AI (DeAI) with Small Language Models (SLMs)! 🌐 The AI industry is facing a pivotal shift. Centralized Large Language Models (LLMs) are expensive, inefficient, and struggle to address specialized business challenges. That’s where AssisterrAI comes in—a decentralized platform empowering YOU to build domain-specific SLMs. 💡 🔹 No-Code SLM Creation: Easily design, customize, and launch SLMs for specialized applications. 🔹 Mixture of Agents (MoA): Leverage collaborative SLM networks for advanced reasoning and problem-solving. 🔹 Decentralized Ownership: Earn rewards and gain co-ownership of SLMs through our token-based economy. 🔹 Real-World Impact: From DeFi trading tools to intelligent chat bots, AssisterrAI provides practical, cost-effective AI solutions. Be part of the DeAI movement and help shape a fair, open, and decentralized AI future. 🌍 👉 Learn more: https://t.co/D5Se8kzou1 / https://t.co/FvZKDbJtjV / @assisterr
认识Assisterr AI:通过小型语言模型(SLMs)开创去中心化AI(DeAI)的未来!🌐 AI行业正面临一个关键的转变。集中式的大型语言模型(LLMs)成本高、效率低,难以解决专业化的商业挑战。这就是AssisterrAI的用武之地——一个去中心化平台,赋能您构建特定领域的SLMs。💡 🔹 无代码SLM创建:轻松设计、定制和启动用于专业应用的SLMs。 🔹 代理混合(MoA):利用协作的SLM网络进行高级推理和问题解决。 🔹 去中心化所有权:通过我们的代币经济获得奖励并共同拥有SLMs。 🔹 现实世界影响:从DeFi交易工具到智能聊天机器人,AssisterrAI提供实用且经济高效的AI解决方案。 加入DeAI运动,帮助塑造一个公平、开放和去中心化的AI未来。🌍 👉 了解更多: https://t.co/D5Se8kzou1 / https://t.co/FvZKDbJtjV / @assisterr
Assisterr AI & the Future of Decentralized AI 🧵 Introducing Assisterr AI: The DeAI Gig Economy for Small Language Models (SLMs) The AI industry is at a crossroads. Centralized LLMs (like GPT) are costly, inefficient, and fail to meet specialized business needs. Enter Assisterr AI: a decentralized ecosystem for domain-specific SLMs. 🧠✨ The Problem with LLMs: - Data Exhaustion: High-quality data is running out. - High Costs: Training LLMs costs millions, with diminishing returns. - Lack of Specialization: LLMs struggle with domain-specific tasks. - Centralization: Big Tech monopolies control AI development. The Solution: Verticalized AI with SLMs Small Language Models (SLMs) are: - Domain-Specific: Tailored for niche use cases. - Cost-Efficient: Lower operational costs & energy consumption. - Customizable: Easily adapted to unique business needs. - Privacy-Friendly: Data can be hosted locally. Mixture of Experts (MoE) & Mixture of Agents (MoA): Modern SLMs use MoE and MoA architectures to combine specialization with broad reasoning. - MoE: Multiple experts collaborate for complex tasks. - MoA: Teams of agents work together for precise execution. This hybrid approach outperforms LLMs in specialized tasks. Why Decentralize AI? - Fair Compensation: Contributors are rewarded for data, model creation, and validation. - Transparency: On-chain data provenance ensures traceability. - Job Security: DeAI creates new opportunities, protecting against AI-driven job displacement. Assisterr AI Ecosystem: - AI Lab: No-code tools for SLM creation. - SLM Store: Marketplace for domain-specific models. - Collaborative Elements: Peer review & data validation. - Treasury Model: Native token ($ASRR) for governance & rewards. Real-World Use Cases: - DeFi Management: Optimize trading, lending, and staking. - Trading Agents: Analyze wallet clusters & price trends. - Autonomous Chat Agents: Support for DevRel, IT, and more. - Public-Facing Avatars: Text, audio, and video-based proxies. Developer Relations (DevRel) Case Study: Assisterr AI automates up to 95% of DevRel tasks using SLMs. - Trained on historical inquiries, documentation, and on-chain data. - Reduces costs while improving efficiency. The Future of AI is Decentralized: Assisterr AI is pioneering a new paradigm: - Open AI: Preventing monopolization by Big Tech. - Community Ownership: Contributors own & benefit from SLMs. - Real-World Solutions: Tackling complex, domain-specific problems. Join the DeAI Revolution: Assisterr AI is building a fair, open, and decentralized AI ecosystem. Whether you're a developer, data contributor, or business, there's a place for you in the future of AI🌐 Learn more: https://t.co/U23hxj4zri What are your thoughts on decentralized AI? Let’s discuss! 👇 @assisterr
Assisterr AI & 去中心化AI的未来 🧵 介绍Assisterr AI:小型语言模型(SLMs)的去中心化AI零工经济 AI行业正处于十字路口。集中式的大型语言模型(如GPT)成本高、效率低,无法满足专业业务需求。Assisterr AI应运而生:一个针对特定领域SLMs的去中心化生态系统。🧠✨ 大型语言模型的问题: - 数据枯竭:高质量数据正在耗尽。 - 高成本:训练大型语言模型需要数百万美元,且回报递减。 - 缺乏专业性:大型语言模型在处理特定领域任务时表现不佳。 - 集中化:大型科技公司垄断了AI开发。 解决方案:垂直化AI与小型语言模型 小型语言模型(SLMs)具有以下特点: - 领域特定:为小众用例量身定制。 - 成本效益高:运营成本和能耗更低。 - 可定制:易于适应独特的业务需求。 - 隐私友好:数据可以本地托管。 专家混合(MoE)与代理混合(MoA): 现代SLMs使用MoE和MoA架构,将专业化与广泛推理相结合。 - MoE:多个专家协作处理复杂任务。 - MoA:代理团队协同工作以实现精确执行。 这种混合方法在特定任务中优于大型语言模型。 为什么要去中心化AI? - 公平补偿:贡献者因数据、模型创建和验证而获得奖励。 - 透明度:链上数据溯源确保可追溯性。 - 工作保障:去中心化AI创造新机会,防止AI驱动的失业。 Assisterr AI生态系统: - AI实验室:用于创建SLMs的无代码工具。 - SLM商店:特定领域模型的市场。 - 协作元素:同行评审和数据验证。 - 国库模型:用于治理和奖励的原生代币($ASRR)。 实际应用案例: - DeFi管理:优化交易、借贷和质押。 - 交易代理:分析钱包集群和价格趋势。 - 自主聊天代理:支持开发者关系、IT等。 - 公共形象代理:基于文本、音频和视频的代理。 开发者关系(DevRel)案例研究: Assisterr AI使用SLMs自动化高达95%的DevRel任务。 - 基于历史查询、文档和链上数据进行训练。 - 降低成本的同时提高效率。 AI的未来是去中心化的: Assisterr AI正在开创一种新范式: - 开放AI:防止大型科技公司垄断。 - 社区所有权:贡献者拥有并受益于SLMs。 - 现实世界解决方案:解决复杂的特定领域问题。 加入去中心化AI革命: Assisterr AI正在构建一个公平、开放和去中心化的AI生态系统。无论你是开发者、数据贡献者还是企业,AI的未来都有你的一席之地🌐 了解更多:https://t.co/U23hxj4zri 你对去中心化AI有什么看法?让我们讨论一下!👇 @assisterr
Exploring Assisterr AI – The Future of Decentralized Intelligence 1/ Let’s dive into Assisterr AI – a platform shaking up the AI world! Built on blockchain tech (Solana, to be precise), Assisterr empowers anyone to create, own, and monetize Small Language Models (SLMs).
探索Assisterr AI——去中心化智能的未来 1/ 让我们深入了解Assisterr AI——一个正在颠覆AI世界的平台!基于区块链技术(具体来说是Solana),Assisterr使任何人都能创建、拥有并货币化小型语言模型(SLMs)。
AssisterrAI is building a decentralized AI ecosystem. Imagine a world where: YOU create AI models. YOU own them. YOU get paid for your contributions. That’s Assisterr’s vision. A DeAI gig economy where everyone wins.
AssisterrAI正在构建一个去中心化的AI生态系统。想象一个世界:你创建AI模型,你拥有它们,你为你的贡献获得报酬。这就是Assisterr的愿景。一个DeAI零工经济,每个人都是赢家。
AssisterrAI is building a decentralized AI ecosystem. Imagine a world where: YOU create AI models. YOU own them. YOU get paid for your contributions. That’s Assisterr’s vision. A DeAI gig economy where everyone wins.
AssisterrAI正在构建一个去中心化的AI生态系统。想象一个世界:你创建AI模型,你拥有它们,你为你的贡献获得报酬。这就是Assisterr的愿景。一个DeAI零工经济,每个人都是赢家。