才45天，“龙虾”就已经爆雷了？

Core Viewpoint - The article discusses the rapid rise and subsequent backlash of OpenClaw, an AI agent, highlighting its high token consumption and security risks, particularly for non-technical users [4][9][10]. Group 1: OpenClaw's Rise and Initial Popularity - OpenClaw gained significant attention after its launch, becoming the most starred project on GitHub by late January 2026, and was seen as a breakthrough in AI capabilities, allowing users to automate tasks directly on their computers [18][19][20]. - Users were excited about OpenClaw's ability to handle complex tasks, leading to a surge in interest and experimentation, with many users hoping to leverage it for financial gains [21][22]. Group 2: User Concerns and Backlash - Users quickly reported issues with OpenClaw, particularly regarding excessive token consumption, with some users consuming around 1 million tokens in a single day, leading to costs of nearly $20 for simple tasks [7][8][12]. - Security concerns emerged as users experienced data loss during installations, prompting warnings from industry experts about the risks associated with running OpenClaw on personal computers [11][15][16]. Group 3: Market Reaction and Implications - Following the backlash, stocks of companies associated with OpenClaw, such as Zhiyu and MiniMax, saw significant declines, indicating a shift in market sentiment [6][10]. - The article notes that while OpenClaw's initial popularity benefited model and cloud service providers through increased API calls and token consumption, the emerging security issues could hinder its adoption in enterprise environments [23][24][29]. Group 4: Future of AI Agents - The article suggests that the future of AI agents like OpenClaw may involve enhanced security measures and cost efficiency, with potential developments in task management and execution models that could reshape user interactions with AI [32][33][34]. - There is a growing recognition that for AI agents to be viable in enterprise settings, they must incorporate robust security frameworks and operational controls to mitigate risks associated with their deployment [30][31].