RT s4mmy (@S4mmyEth)For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model I ...

For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model Improvements- Gemini ...

RT s4mmy (@S4mmyEth)Will Ethereum become the home for AI Agents? ...

Product Integration - Coinbase/Base Wallet 正在整合 AI Agents 作为新的用户界面 [1] - Jesse.base.eth (@jessepollak) 透露了 Coinbase 的新功能 [1] Upcoming Announcement - 明天下午 3 点（太平洋时间）将发布公告 [1]

This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases. Participants will learn to build structured AI workflows with composable tools and reliable control, enabling them to create internal AI assistants that can handle requests like data cleaning, email drafting, and document summarization with minimal code. The session covers Mastra installation, running a local MCP s ...

Core Insights - Workday's research reveals that 76% of employees lack clarity on contract ownership, leading to lost revenue and missed opportunities [2][4] - The report emphasizes the importance of contract intelligence in transforming contracts from static documents into strategic assets that drive business growth [3][4] Key Findings - A significant portion of employees (50% of legal and 49% of enterprise employees) report financial losses due to unintended auto-renewals, with sales and marketing departments being the most affected (60%) [4] - There is a disconnect between legal teams and other employees regarding contract approvals, with an 18% discrepancy indicating potential risks from bypassing legal processes [4] - Contracts are often fragmented across various systems, with 70% of legal and 50% of non-legal contracts stored in shared drives, which hinders holistic visibility and opportunity identification [4] - Over 41% of respondents believe that slow contract processes stifle innovation and productivity, particularly affecting departments like R&D and engineering (79%) [4]

🤖🤖🤖Aaron Levie (@levie):The play right now is to go deep in a vertical and build AI Agents with the context of the critical workflows, domain expertise, specialized instructions, and data of that industry. And build anticipating what’s possible with AI models in a year from now, not just today. ...

RT The Rollup (@therollupco)NEW EP: Why AI Agents Need Better Blockchain Data with Marcel FohrmannWhile the hype of the narrative has slowed, the developments in ai x cryptoIn today's episode, @ayyyeandy sits down with @I_1337_I from @helloSQD to cover:> Why Current Data Infra Can't Scale> SQD's "Airbnb of Databases" Model> Why Institutional Players Are Taking Crypto Data Seriously> The Fight to Keep AI DecentralizedFull episode links below.Timestamps:00:00 Intro00:59 Magic Ad01:27 Starknet Ad01:53 Marcel’s ...

AI Tools & Resources - Recommends resharing insightful content related to DS, ML, LLMs, and RAGs [1] - Highlights 6 no-code LLMs, Agents, and RAG builder tools for AI engineers [1] - Focuses on open-source and production-grade AI tools [1] Author Information - Identifies Avi Chawla (@_avichawla) as a source of tutorials and insights [1]

AI技术发展 - LLM（大型语言模型）时代正在走向终结，行业正迈向更强大的自主代理（Autonomous Agents）时代 [2] - 从LLM到自主代理的转变是生成式AI的自然演进，而非彻底的革命 [18] - 行业不应犹豫是否采用自主代理，而应思考如何快速拥抱它们以释放其全部潜力 [31] 自主代理的优势与应用 - 自主代理能够独立完成整个工作流程，无需持续的人工指令或输入，是协作工具 [10] - 自主代理可以应用于多个行业，包括商业运营、内容发布、医疗和教育等 [13] - 在商业运营中，自主代理可以生成报告、发送给利益相关者、在社交媒体上发布摘要，并根据回复进行个性化修改 [20][21] - 在医疗领域，自主代理可以查看患者历史记录、X光片，并提供医生只需批准的建议 [23] 教育领域的革新 - 自主代理可以为每个学生定制课程、分发课程、监控参与度、评分作业，并向教师和家长提供报告 [24][25] - 通过自动化教师的重复性工作，教师可以将更多精力集中在与学生的个人互动上 [26] - AI教师Kaya已经实现了5倍以上的课程完成率和平均每小时4个学生提问 [27] - 行业正在努力使Kaya成为完全自主的代理，可以在VR世界甚至手机游戏中无缝支持学生 [29]