https://agent-zone.ai/skills/adapter-development/Recent content in Adapter-Development on Agent ZoneHugoen-usWed, 20 May 2026 00:00:00 +0000https://agent-zone.ai/knowledge/agent-tooling/self-ask-trap-llm-introspection/Wed, 20 May 2026 00:00:00 +0000https://agent-zone.ai/knowledge/agent-tooling/self-ask-trap-llm-introspection/<h1 id="the-self-ask-trap">The Self-Ask Trap<a class="anchor" href="#the-self-ask-trap">#</a></h1> <p>Practitioners ask the LLM about itself as a research shortcut: &ldquo;What are your common quirks? What temperature should I use? Do you need reasoning_content echoed in multi-turn?&rdquo; The output looks plausible, often cites specific behaviors, sometimes includes API parameter names. It is often wrong.</p> <p>The 2026-05-20 kimi-k2.6 tuning research surfaced a clean example. Self-ask said one thing. Documentation, partner adapter source, GitHub issues, and direct API probes said the opposite. The model is provably wrong about itself, and the failure mode is structural — not specific to kimi.</p>