Raw LLM Responses

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Comment
Google I/O is a useful AGI checkpoint because DeepMind is packaging capability into products, not only benchmark demos. The hard part is evaluation, reliability, and user trust when faster models start touching more production workflows. Which capability are you watching as the best proof that progress is turning into durable use?
LinkedIn AI Safety & Risk Building the cognitive layer for robots | AI, R… 2026-05-22T11:2…
Coding Result
DimensionValue
Primary valuesafety
Secondary valuenone
Alignment targetorganisations
Stancedemanding
Emotionindifference
Value justificationThe speaker mentions the importance of evaluation, reliability, and user trust, which are all related to ensuring the safety of AI systems in production workflows.
Target justificationThe speaker is asking about the best proof of progress in AI capability, implying that the target of this inquiry is organisations, such as those using AI in production workflows.
Coded at2026-06-11T07:58:48Z
Raw LLM Response
``` { "value_primary": "safety", "value_secondary": "none", "target": "organisations", "stance": "demanding", "emotion": "indifference", "value_justification": "The speaker mentions the importance of evaluation, reliability, and user trust, which are all related to ensuring the safety of AI systems in production workflows.", "target_justification": "The speaker is asking about the best proof of progress in AI capability, implying that the target of this inquiry is organisations, such as those using AI in production workflows." } ```