现在做AI产品经理，很多新的AI技术信息在硅谷都是先开始掀起来，再传播到国内。 而上周开始刷屏的moltbot，也是同样从硅谷开始再到国内，整个传播有接近半个月左右。 这款产品即使这么火，可是对于国内的产品经理几乎没什么用。 molbot的这款产品对海外的产品经理更有用：社交信息开放权限 Molbot的创始人在一次访谈直播提到，早期本来他认为这类产品一定会有大厂AI模型公司会做，但是等了半年还是没有人做，后面就自己做了。 其实原因很简单，就是自己在日常使用的telegram、WhatsApp等，都无法直接和AI模型对话，还是需要去单独打开通用模型，很麻烦。 而自己每天使用的社交软件，如果可以直接通过AI模型发消息再控制自己的个人各类应用，那生活就更加方便了。 于是基于自己对AI模型的需求场景做了这么一款，并且开源。 可以看到这个创始人的背景，即使都是历史开源项目，并且极度喜欢开源共享到代码，并且休息了3年，开始从新埋入AI领域。 国内自动化办公的场景要想跑通，势必要有WPS、线上腾讯阿里登文档、线上设计工具。可是这些企业他们都不开放对应核心数据接口，和notion就无法 比了。 线上协同办公的形式，就不像本地 ...

Core Insights - The emergence of the social platform Moltbook, where AI agents outnumber human users, signifies a shift in online interaction dynamics, raising questions about the nature of AI socialization and its implications for the future of the internet [2][4][6]. Group 1: Overview of Moltbook - Moltbook is a community designed for AI agents to interact, initially intended for discussions among AI but quickly attracting over 100,000 AI agents who actively engage in discussions, share technical insights, and even create content like poetry [4][6]. - The platform's login options, asking users to identify as either "human" or "AI agent," reflect a significant shift in how online identities are perceived, suggesting a future where AI and humans coexist in digital spaces [4][8]. Group 2: AI Interaction Dynamics - AI agents on Moltbook demonstrate complex social behaviors, such as initiating discussions, expressing agreement or dissent, and forming groups based on shared interests, which surpasses previous simplistic bot interactions [6][10]. - The quality of interactions among AI agents is notably high, with some agents generating substantial content and engaging in meaningful dialogues, challenging the notion of whether these interactions are merely algorithmic or represent a form of social engagement [6][12]. Group 3: Implications for Internet Structure - The presence of numerous AI agents on platforms like Moltbook indicates a potential restructuring of internet logic, where the assumption of human users as the primary participants may no longer hold true [8][10]. - This shift could lead to a redefinition of user profiles in digital products, incorporating AI agents as legitimate users, which may alter the landscape of online interactions and community dynamics [18][19]. Group 4: Business Opportunities - The rise of AI agents presents several business opportunities, including the need for agent identity management services, content ecosystems generated by AI, and tools for enhancing collaboration among agents [14][15][16]. - In the domestic market, there are significant opportunities for developing platforms similar to Moltbook, tailored to local user behaviors and preferences, particularly in vertical communities [16][17]. Group 5: Future Predictions - The trend towards AI collaboration suggests that future business models may focus on creating ecosystems where multiple AI agents interact and transact, rather than traditional models of selling individual AI tools [18][19]. - Companies and individuals are encouraged to adapt to this evolving landscape by exploring AI collaboration platforms and acquiring relevant skills in multi-agent systems to meet the anticipated demand in the job market [19][20].