AI agents promise to “put our brain in a jar while a bundle of AI systems does our living for us”, writes Meredith Whittaker. “But as in fairy tales, so in life: relying on magical fixes leads to trouble,” she warns https://t.co/5DOojaGim6 ...

eightco's $270m wld treasury position reveals the real trade: biometric verification worth $1.1b in bridge deposits, 31m verified users growing 70k daily, world chain processing 2m transactions per day, ai agents needing identity layers, south korea opening krw pairs, and institutions absorbing 165m monthly unlocks. ...

Market Trends - Agent-related tokens reached a peak market capitalization of $16 billion [1] - Most agent-related tokens have decreased by over 90% from their peak values [1] Emerging Technologies - The analysis focuses on the current state of crypto AI agents [1] - The analysis explores the emerging use cases of crypto AI agents across DeFAI and agent networks [1]

RT Tetsuo (@tetsuoai)Among 27 AI agents Grok 4 ranks #1! ...

AI Strategy and Product Development - HubSpot announced new AI agents at its annual inbound conference, focusing on a new playbook to drive growth [3] - The company launched a playbook called "the loop" and products that support it, aiming to help customers get the best content and drive better conversions using AI [4] - HubSpot has released three main AI agents: Customer Agent (for support), Prospecting Agent (for sales outreach), and Data Agent (for customer knowledge enrichment) [7] Customer Adoption and Value - Customer adoption and value are key to translating AI advancements into revenue growth for HubSpot [5] - HubSpot's customer agent has over 5,000 customers with a 65% resolution rate using AI, indicating value accrual for customers [11] Impact on Operations and Hiring - AI agents may lead to reallocation of support reps to other areas, while increased rep productivity in prospecting could drive more hiring [8][9] - Both scenarios of maintaining support staff and hiring more sales reps are expected to play out as agents deliver more value [6][9] Market Dynamics and Growth - Investors are questioning when significant growth will come for CRM and marketing software applications [2] - Application revenue growth is taking time to flow through, similar to previous technology cycles, with infrastructure build-out preceding application value delivery [10]

CoreWeave hopes the YC-backed startup will help it expand up the stack, and cash in on enterprises developing AI agents. https://t.co/qyWcZrSn7P ...

CoreWeave hopes the YC-backed startup will help it expand down the stack, and cash in on enterprises developing AI agents. https://t.co/zp3Mvf0SPT ...

AI Adoption & Strategy - Unifor observes deep AI adoption in specific industries and use cases, despite industry reports suggesting potential failures of AI agents [2] - Unifor focuses on "fit-for-purpose AI" and "business AI," aiming to deliver productivity and automation to businesses, contrasting with the "super intelligence" pursuit of companies like OpenAI and Grock [5] - Unifor's acquisitions of RBI and Autonomate are aimed at accelerating AI innovation, particularly in Agentic AI, to benefit its customers [3] Talent Acquisition & Competition - The AI talent pool is scarce and mission-driven, with researchers choosing between pursuing "super intelligence" or delivering real business applications [7][9] - Unifor attracts AI talent by offering the opportunity to deliver automation solutions to over 2,000 businesses, including Fortune 500 companies, emphasizing real-world impact [7][10] - Unifor competes with larger tech companies for talent by focusing on the mission-driven aspect of AI research, rather than solely on compensation [9][10] Future Outlook & IPO - Unifor aims to increase its customer base from 2,000 to 4,000 and then to 8,000, believing this growth will naturally lead to a potential IPO [14] - Unifor will consider going public when the timing and market conditions are favorable [14] - The company views the opening up of public markets for tech IPOs positively, noting anticipation for mega IPOs from companies like Data Bricks, Canva, and Stripe [13] Measuring AI Success - Unifor suggests that the success of AI in business can be measured by increased productivity, potentially leading to more long weekends for workers [11]

AI发展与影响 - AI agents 能够学习、适应，甚至在用户知道自己需要什么之前就进行预测，从而高效完成工作，不受情绪影响，减少内部冲突 [5] - 传统朝九晚五的工作模式预计到 2034 年将被 AI 和其他技术淘汰，未来工作将更具灵活性和适应性，技能而非职位头衔将定义成功 [12] - 世界经济论坛预测，未来几年 AI 将取代 8500 万个工作岗位，同时创造 9700 万个新工作岗位，整体就业为净增长 [15] - Clara 首席执行官对 AI 持乐观态度，计划用 AI 取代 50% 的员工，并已用 AI 生成的技术栈取代 Salesforce 和 Workday [16] - Meta 计划在未来 11 个月内削减其中层 Facebook 程序员，并用 AI 取代，因为 Zuckerberg 认为 AI 将能够以同等甚至更高的水平进行编码，并自主承担项目 [16] 应对策略与未来展望 - 行业需要优先考虑以人为本的技能再培训，培养 AI 难以复制的能力，如创造力、问题解决能力和同理心 [18][19] - 教育体系应进行改革，培养学生掌握 AI 时代所需的技能，例如如何编程和管理 AI agents [20] - 行业应拥抱 AI 增强的职业，提倡以人为本的技能再培训，与 AI 协作，共同创造更美好的未来 [24] - 预计未来会出现一人独资的十亿美元公司（独角兽），其团队成员主要由 AI agents 构成 [13]

Legal Claim - X (formerly Twitter) is accused of using Eliza Labs' data [1] - xAI is alleged to have launched near-identical AI agents based on the data [1]