Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
The transition to operational 'consequence control' requires lived, localized implementation, not just abstract policy. We are actively stress-testing this architectural layer from the ground up: 📌 The Live Operational Blueprint ({Sarinem.Chat}): 📌 The Strategic Framework & Core Architecture: 📌 Our 38 Open-Access Research Repository (Zenodo): Let’s bridge the gap between capability and true controllability together.Mbah Hogi Bejo AI Safety Strategist
LinkedIn AI Safety & Risk Founder, Zi Zhu Ze & Superhero Cafe Inside | AI… 2026-05-22T13:3…
Coding Result
DimensionValue
Primary valuesafety
Secondary valueaccountability
Alignment targethumanity
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the need for 'consequence control' and 'true controllability', indicating a primary concern for safety.
Target justificationThe speaker invites collaboration to 'bridge the gap' between capability and controllability, suggesting a focus on the well-being of humanity as a whole.
Coded at2026-06-11T07:59:07Z
Raw LLM Response
```json { "value_primary": "safety", "value_secondary": "accountability", "target": "humanity", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the need for 'consequence control' and 'true controllability', indicating a primary concern for safety.", "target_justification": "The speaker invites collaboration to 'bridge the gap' between capability and controllability, suggesting a focus on the well-being of humanity as a whole." } ```