Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
What feels especially important is that AI progress is no longer advancing along a single axis of model capability. The frontier is now moving across multiple layers simultaneously: multimodal world understanding agentic coordination scientific discovery security infrastructure workflow integration institutional adoption That changes the nature of the race entirely. The organizations that shape the next era likely will not just build the most capable models. They will build the systems that organizations, governments, and individuals can reliably integrate into real-world decision-making over long periods of time. Capability matters. But trust, interoperability, coordination, and societal absorbability may matter even more.
LinkedIn AI Safety & Risk Founder & CEO, Leider Capital | Creator of The … 2026-05-22T01:0…
Coding Result
DimensionValue
Primary valueunclear
Secondary valueaccountability
Alignment targetorganisations
Stanceoptimistic
Emotionapproval
Value justificationThe speaker emphasizes the importance of trust, interoperability, and societal absorbability in AI development, indicating a primary value of trust.
Target justificationThe speaker mentions organizations, governments, and individuals as the entities that will integrate AI into real-world decision-making, with a focus on organizations that will shape the next era.
Coded at2026-06-11T07:57:17Z
Raw LLM Response
``` { "value_primary": "trust", "value_secondary": "accountability", "target": "organisations", "stance": "optimistic", "emotion": "approval", "value_justification": "The speaker emphasizes the importance of trust, interoperability, and societal absorbability in AI development, indicating a primary value of trust.", "target_justification": "The speaker mentions organizations, governments, and individuals as the entities that will integrate AI into real-world decision-making, with a focus on organizations that will shape the next era." } ```