Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Here is Anthropic’s response... Claims to be skeptical of: “8x more code per quarter” — this specific figure isn’t from any Anthropic publication I can verify; it reads like an extrapolation or fabrication “Task length doubling every four months” — similarly, this precise metric doesn’t match any Anthropic research “By 2027, systems capable of weeks-long work” Anthropic has made generally statements about increasing autonomy, but this specific framing appears to be the post author’s interpretation, not a direct Anthropic claim
LinkedIn AI Safety & Risk Senior Telecom Network Lead | 5G-Advanced · IPR… 2026-06-06T00:0…
Coding Result
DimensionValue
Primary valuetransparency
Secondary valuenone
Alignment targetindividual_users
Stanceskeptical
Emotionoutrage
Value justificationThe speaker wants AI-related claims to be verifiable and truthful, which is a key aspect of transparency.
Target justificationThe speaker appears to be addressing the post author, implying that the target is the individual user who made the claims.
Coded at2026-06-11T08:39:40Z
Raw LLM Response
``` { "value_primary": "transparency", "value_secondary": "none", "target": "individual_users", "stance": "skeptical", "emotion": "outrage", "value_justification": "The speaker wants AI-related claims to be verifiable and truthful, which is a key aspect of transparency.", "target_justification": "The speaker appears to be addressing the post author, implying that the target is the individual user who made the claims." } ```