What's missing in the 'agentic' story: a well-defined user agent role
mnot.net
April 25, 2026
14 min read
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44/100
Summary
Historically, computing machines operated locally, executing tasks as instructed by their users and creators. Users could rely on devices like laptops and desktops to run programs and store files without unexpected behavior.
Key Takeaways
- Modern technologies often embed the interests of their creators, which may not align with the users' interests, leading to potential trust issues.
- Internet-connected devices, such as smartphones and smartwatches, can collect and share personal data without users' explicit consent.
- There are numerous documented instances of companies, like Meta and Microsoft, exploiting user data for their own benefit, raising concerns about privacy and trust.
- The assumption that personal devices operate solely in the user's interest is increasingly misleading in the context of modern computing.
Community Sentiment
Positives
- The discussion highlights the need for open harnesses in AI tools, which could prevent dependency on proprietary systems and promote innovation.
- AI agents are evolving to possess more capabilities, suggesting a future where they can perform complex tasks with greater autonomy.
- The emphasis on aligning AI agents' incentives with user goals could lead to more trustworthy and effective AI applications.
Concerns
- The fragility of current AI systems, despite their robustness, raises concerns about their reliability in critical applications.
- There are significant ethical concerns regarding the delegation of tasks to AI, as they lack accountability similar to human agents.
- The proprietary nature of many AI tools risks creating a new form of dependency, reminiscent of past computing challenges.
