Raw LLM Responses

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G At some point in the future, a waymo self driving car will get a human being k -… ytc_Ugxy-gqh_… G The truth is we will have to move to a completely different economic system at a… ytc_UgzDLMmKN… G It's a difficult notion for people who have a good grasp on the realities of "AI… rdc_o76zef9 G AI is very complex technology. Everyone under a masters degree will not be able … ytc_UgzyikLOc… G I've been on both sides I was and still am occasionally an artist and I dipped m… ytc_UgxZgeYRt… G That "A.I." bro I previously mentioned argues that "overfitting" (outputs that l… ytr_Ugx9mfyQZ… G I assume this isn’t the same thing. But what about people with photographic memo… ytc_Ugxwc2rDP… G here's the thing with AI: it will be disruptors/enshitification 2.0; if a compan… ytc_Ugz84ETO_…
Comment
What should concern us is the asymmetry of progress. Human experts lose ground every day, as the information in their domains expands beyond the limits of individual cognition. What you mastered yesterday is already obsolete today, which means that relative to the state of the art, you are effectively becoming less competent with time. In contrast, artificial intelligence does not suffer from such decay. It improves continuously, limited only by computational resources and storage capacity. The trajectory is clear: as human expertise erodes, AI capabilities accelerate. This is not the future—it is the present. And the most consequential phase of this transition has not even begun.
youtube AI Governance 2025-09-07T08:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policyunclear
Emotionresignation
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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