Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
This is a much-needed clarification. AI language is moving so quickly that acronyms can start to feel like understanding, when often they are only labels for very different system behaviours. LLMs, RAG, agents, workflows, orchestration, evaluation, governance — each matters, but none of them should become jargon that hides the real question: what is the system doing, what is it connected to, what can it affect, and how do we know when it is wrong? Clarity is not cosmetic in AI. It is part of safety.
LinkedIn Workplace & Jobs The Codex for Ethical Intelligence 2026-05-25T13:4…
Coding Result
DimensionValue
Primary valuesafety
Secondary valuetransparency
Alignment targethumanity
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes that clarity is part of safety, implying that AI systems should be designed to prioritize safety and transparency.
Target justificationThe speaker's concern for safety and transparency suggests that they are considering the well-being of humanity as a whole, rather than a specific individual or group.
Coded at2026-06-11T08:08:02Z
Raw LLM Response
``` { "value_primary": "safety", "value_secondary": "transparency", "target": "humanity", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes that clarity is part of safety, implying that AI systems should be designed to prioritize safety and transparency.", "target_justification": "The speaker's concern for safety and transparency suggests that they are considering the well-being of humanity as a whole, rather than a specific individual or group." } ```