Raw LLM Responses
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G
These "AI redraws" are IMHO quite short-sighted as they only promote the use of …
ytc_Ugxt8QKEM…
G
i agree in the risks in most areas mentioned, but as far as transportation goes.…
ytc_UgyqXyc_T…
G
I'm old and saw this coming. I said that criminals will find ways to use AI that…
ytc_UgzIOy6zp…
G
that's crazy! How is it even legal for them to make a chat bot of you??? Man.…
ytc_UgyfTL6I6…
G
I see some similarity to how Chinese students are monitored. I would think emplo…
rdc_oi3ss18
G
Good news though most art ai keeps accidentally pulling from other ai art and ru…
ytc_UgzP7L2wv…
G
I have been saying this for some time and I'll say it here too so i can print it…
ytc_UgxDpYSZI…
G
A huge in your face psy op....go and ask chat gtp to explain how it works and ho…
ytc_UgzG7Px6r…
Comment
What stood out to me here isn’t the idea of “future AI risk” — it’s how quietly authority is already shifting today.
In many organizations, the issue isn’t runaway super-intelligence. It’s the gradual normalization of AI outputs becoming the default starting point for decisions, reviews, and approvals. Once speed and polish become the primary signals of quality, human judgment moves downstream — or disappears entirely.
This is a pattern I’ve been documenting across real workplaces where AI doesn’t need to be autonomous to change who is actually deciding. It only needs to be convenient, consistent, and time-saving.
The real risk is passive adoption without clear responsibility.
If no one can explain why an AI-assisted decision made sense then authority has already drifted, even if no policy was ever changed.
Unexamined delegation is the problem.
youtube
2026-01-28T22:3…
♥ 5
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | fear |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
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