I care less about autonomous agents now, and more about whether I can trust them

Reddit r/AI_Agents News

Summary

The author argues that the real challenge for AI agents is not capability but trustworthiness, emphasizing auditing, sandboxing, permissions, and security for agent tooling.

The interesting signals I saw today were not really about agents doing bigger demos. They were about boring but important stuff: third-party auditing for AI agents ; MCP interception / blocking sensitive file reads ; sandboxing ; supply chain attacks targeting open source maintainers ; privacy concerns around coding tools sending local instructions/context to model providers ; scorecards for checking whether an agent actually did the job it was supposed to do. That feels much closer to the real problem. If an agent can touch my repo, my terminal, my browser, or my internal docs, I don’t just want it to be “smart”. I want to know what did it read? what did it change? what permissions did it have? Can I audit the run? Can I roll it back? Can it accidentally leak secrets? I’m still not sure what the right abstraction is here. But imo the future of agent tooling is less about making agents feel magical, and more about making them inspectable, bounded, and boring enough to trust.
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