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Rune: Base has lost community trust, and Cobie responded by stating that he will push Coinbase to be closer to on-chain users

In response to the recent community controversy surrounding Base, crypto KOL Rune questioned on the X platform, stating that Cobie's goal in taking over the Base App is to promote on-chain transactions, but the current management of Base is continuously undermining user trust, leading users to believe that "trusting anything related to Base for more than 24 hours is a mistake." Under this culture, it is difficult to attract new users.In response, Cobie stated that he took over the Base App and related Coinbase trading products a few days ago, but he is not responsible for the Base chain. He acknowledged that Coinbase has long had a distance from users, especially native crypto users, and that Base and Coinbase have overdrawn a lot of user trust due to some avoidable mistakes. He hopes to listen more to the voices of on-chain users in the future and create products that users truly want to use.Subsequently, Rune responded again, stating that Coinbase's biggest problem is not just the alienation from users, but the long-term neglect and even harm to its own users. He indicated that currently over 10,000 Base users have suffered about 99% asset loss due to trusting the Base/Coinbase management, and the management's attitude towards related events has further exacerbated community dissatisfaction.Rune believes that Base has the infrastructure to become the best Layer2 in the crypto industry, but what is truly lacking is a leadership willing to take responsibility for users. He expressed hope that Cobie could change this situation, but emphasized that the current issues with Base are not just about damaged trust, but that community trust has almost completely eroded.
2026-07-18

a16z invests in AI agent security company Runta

Venture capital firm Andreessen Horowitz (a16z) announced an investment in AI Agent security startup Runta, which aims to help businesses manage and constrain AI agents like "raising children." The specific investment amount has not been disclosed.Runta founder Guanlan Dai previously worked on the technical team at Cloudflare and was a founding engineer at API connection startup Kong. He stated that AI agents share similarities with growing children: they have the ability to perform tasks autonomously but also require boundaries, supervision, and permission management. Dai believes that just as parents provide home safety protection for children and limit their access to credit cards, businesses also need to restrict the important documents that AI agents can access, the range of operations they are allowed to perform, and the amount of disposable funds available at one time.Runta is developing a set of "AI Agent guardianship" infrastructure to help businesses manage AI agents' permissions, security risks, and behavioral boundaries, preventing autonomous AI systems from causing data leaks, erroneous operations, or financial losses during task execution. As businesses increasingly deploy AI agents with autonomous decision-making capabilities, establishing a trustworthy and secure agent management system is becoming a new infrastructure requirement. Runta aims to become the "parental control layer" of the AI Agent era, providing capabilities such as agent identity management, permission control, risk limitation, and operational supervision for businesses. Industry insiders believe that as AI agents evolve from simple assistants to autonomous entities capable of operating business systems, handling transactions, and executing complex tasks, the infrastructure market surrounding agent security, governance, and compliance may experience rapid growth.

The founder of Bridgewater Associates discusses decision-making in the AI era: principled thinking should run parallel with AI, and human insights remain irreplaceable

Ray Dalio, founder of Bridgewater Associates, recently published a lengthy article sharing his thoughts on the investment decision-making system in the AI era, emphasizing that human insights still hold irreplaceable value in financial markets.Dalio believes that investing is essentially a "value-added near-zero-sum" competitive environment. When certain information becomes widely recognized, its investment value often declines rapidly. Therefore, even the most advanced AI systems are insufficient for investors to rely on completely or to follow blindly; the true competitive advantage still lies in unique human understanding and deep insights.Drawing on Bridgewater's 50 years of development experience, Dalio suggests that decision-making should be based on a clear, understandable, and verifiable principle system. He states that principled thinking does not rely on intuition or experiential judgment, but rather systematizes decision-making standards by analyzing contexts and causal relationships, recording core principles, and utilizing historical data for verification, ultimately transforming them into computable and automatically executable decision systems.He also points out that the formation of principles cannot solely depend on data mining or directly asking AI, but must be based on logical reasoning and an understanding of the operational laws of the real world.Dalio describes this process as a "collaborative game" between humans and AI. In this model, AI provides systematic suggestions based on established principles, while humans engage in independent thinking according to their own principle framework. Both parties continuously optimize the decision-making system through comparison, discussion, and logical verification.He believes that truly valuable principles should transcend time and geography, enduring scrutiny across different historical cycles and market environments. If a principle fails, it is necessary to re-examine the underlying causal relationships and continuously revise it.Dalio states that he has already applied this method in his family office to fully leverage the new generation of AI technology and plans to continue sharing related methodologies with the outside world. He also reminds market participants that as AI technology continues to evolve, the ability to effectively combine artificial intelligence with principled thinking may become an important watershed for future competitiveness.
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