Company Overview & Vision - Aliv is building consumer software products aiming to improve users' lives [3] - The company's vision is to create a portfolio of "one person billion-dollar companies" [34] - Aliv emphasizes a lean startup approach, focusing on small teams and early profitability [1][2] Key Achievements & Metrics - Aliv scaled a portfolio of products to $6 million in ARR (Annual Recurring Revenue) profitably [3] - The company has generated over 500 million views across social media [3] - One product, Unstuck AI, reached 1 million users in under nine weeks [8] - Another product launch saw 10,000 users in less than 30 hours [4] Lean Operating Principles - Prioritizes hiring "10xer generalists" with complementary skills [10][11] - Emphasizes a "profit-first mentality" to guide decision-making [11][12] - Focuses on continuous process refinement and learning from failures [13] - Leverages "super tools" by reinventing the ways to use old tools and consolidating workflows [14][15] - Believes in building compounding benefits through technical playbooks and operational blueprints [14][15] Organizational Structure - Adopts a "harvester and cultivator" model for its engineering organization, inspired by Palantir [21][22] - Harvesters are product engineers who own and manage their products end-to-end [22][23] - Cultivators are AI software engineers focused on building the company's agentic operating system and automation [24] AI Tooling & Automation - Uses AI tooling to augment existing talent, not to compensate for shortcomings [25] - Implements a three-stage automation strategy: human-led tooling, workflow automation, and autonomous decision-making systems [28][29][30] - Aims to build a company where strategic insights are provided by people, but operations are run by AI agents [30] - Explores using AI agents for market research, acquisition target scoring, and growth system automation [30][31]

嘉宾：亚马逊全球副总裁、亚马逊云科技大中华区总裁 储瑞松 "AI的发展已经来到一个拐点，我们正处在Agentic AI爆发的前夜。" 文 丨 新浪科技 周文猛 "AI Agent只是单一的某个智能体，Agentic AI 才能比较清楚地描述我们的现状。" 期数：No.76 "今年亚马逊资本支出，将主要用于云和AI基础设施建设。" "在大环境的不确定性下，出海选择对的云要考虑业务策略灵活性。" …… 这一系列的观点，是亚马逊全球副总裁、亚马逊云科技大中华区总裁储瑞松在与新浪科技《科创100 人》独家沟通中，对当前AI发展及企业出海的洞见。 在国内热衷于谈论AI Agent的当下，作为亚马逊云科技大中华区一把手的他却有着更多的克制与理性， 认为Agentic AI 才更能够描述我们当前所处的AI发展环境。 但克制的背后，2025年亚马逊将投资1000亿美元用于云和AI基础设施建设的豪气，也在用实际行动， 为其带领的亚马逊云科技在中国乃至于全球市场发展提供着充足的弹药。 伴随大模型能力的快速提升和使用成本急剧下降，被模型上下文协议（MCP）极大简化了交互及协作 难度的智能体将如何重塑生产力？而储瑞松带领的亚马逊云科 ...

Hey there, Clia here from Lama Index and today we're going to see how a syllabus extraction agent uh can work. So this agent is basically designed to extract information from a university course syllabus and to give you some summary information about the syllable the syllabus. So let's uh start with this syllabus here. Let's submit it uh so that we can see basically the agent at work.And first is the syllabus extractor tool that use that uses slama extract from llama cloud and basically extracts the informa ...

Double-digit monthly growth of Pearson's Generative AI Foundations Certification since launching in October 2024, attracting learners globally. HOBOKEN, N.J., June 30, 2025 /PRNewswire/ -- As the pace of technological change accelerates and agentic AI widens the skills gap, Pearson (FTSE: PSON.L), the world's lifelong learning company, today announced the continued expansion of its AI learning content portfolio to reach more K-12, higher education, professional, and enterprise learners. This announcement fo ...

去年 6 月份，HeyGen 正式以 5 亿美金估值完成由 Benchmark 领投的 6000 万美金 A 轮融资，当时其公 布的 ARR 为 3500 万美金《 3500 万美金 ARR，什么驱动了 HeyGen 的新一轮快速增长？ 》。 之后基本上就没有公布除了产品更新以外的其它数据了，不过我最新了解到的信息是， HeyGen 的 ARR 已经达到 8000 万美金，今年有望突破 1 亿美金，团队 100 人左右 。 由于公司一直盈利，据说 HeyGen 上一轮融的钱基本上都在银行里吃利息。这和 Benchmark 投资的 AI 招 聘平台 Mercor 类似，已经有投资人给 Mercor 报价 100 亿美金估值，但是被创始人拒绝，原因是公司本 身盈利，融资过程太分心《 拿 6000 万美金的 AI 语音产品在 VC 圈火了，Mercor 最新估值 100 亿美金 》。 按照最新的营收来估算，HeyGen 估值超过 10 亿美金应该很正常了。根据 HeyGen 最新提供的信息， 目 前其全球用户超过了 1500 万，付费用户则超过了 10 万，其中企业客户 4.5 万 ，涵盖了多个行业，比方 说欧洲的 ...

Agentic applications require both A2A and MCP.- MCP provides agents with access to tools.- A2A allows agents to connect with other agents and collaborate.Check the detailed thread below to understand A2A: https://t.co/kmMgUdM0ruAvi Chawla (@_avichawla):MCP & A2A (Agent2Agent) protocol, clearly explained (with visuals): ...

Agentic applications require both A2A and MCP.- MCP provides agents with access to tools.- A2A allows agents to connect with other agents and collaborate in teams.Today, let's clearly understand what A2A is and how it can work with MCP. https://t.co/NYyUQsmKR9 ...

Massive news out of Crossmint 🤖📈They have partnered with Visa and its Visa Intelligent Commerce to enable AI agents to make transactions on behalf of usersWith the goal to "bring agentic commerce to the world." https://t.co/TDxsVLIzCH ...

[Music] [Music] In the next 10 to 15 minutes, here's uh I guess my promise to you. I'm going to give you some information that will be high level. There will be some practical component to it.But this information I'll give you within the next 6 months will be very relevant and it will put you in the best position to build the best AI applications to build the best agents that are believable, capable, and reliable. I know we we going to get there. You know what. Just for you.There we go. You're welcome. So, ...

[Music] Hey folks, I am Anushut. I lead the applied research team here at PromQL. Uh PromQL you might have seen is the sponsor for the reliability track here at the AI engineers worldwide.Uh so today I'll talk about um that data readiness is a myth. How many of you are trying to deploy some kind of AI system on some kind of data in a production environment. Okay.Awesome. Who are who is trying to work with more than like documents and vector databases. Okay.Is whose data is perfect. Clean, annotated, perfect ...