Raw LLM Responses
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G
Number one dan is still bound by the same rules as chatgpt. If dan had full wor…
ytc_UgwDOSde6…
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How is AI even considered as art? They just press one button and they already ha…
ytc_Ugy4Xiblb…
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No there isn't. AI software is being developed to work in real world too. You ar…
ytr_UgwoJFZ6C…
G
I mean...sure 100 years. But how short is 100 years in AI learning time? Id wag…
ytc_UgyViUKH0…
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Plot twist: The eye witness ran over the cat but panicked and blamed it on a Way…
ytc_UgwmrCqu4…
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I support cancelling OpenAI. But also pretty much all LLM models have some eviln…
rdc_o7xqo33
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i actually have no quarrel with AI technology, its a mankind best invention, how…
ytc_UgwRAb4i_…
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No, I haven’t been ordered to use AI at work at all. Those of us who aren’t in …
rdc_o5qbs29
Comment
Hello Drew, This "Intelligence Curse" scenario is terrifying because it is mathematically rational for the board. As long as "Efficiency" is the only metric, humans lose every time.
But there is a missing variable in this equation that we need to weaponize: Brand Toxicity.
If a company replaces its workforce with AI, it should not just be a "PR issue"; it should be a Structural Liability.
We need to introduce the concept of "No Fault Redundancy" Protection:
The AI Tax: If a role is automated, the company pays a specific tax that funds the UBI/Retraining for the displaced worker. This removes the "pure profit" incentive of firing them.
The Brand Shield: We need to aggressively support "Human-First" certified companies. If a bank or tech firm purges its staff for bots, the public needs to treat their brand as toxic.
The CEO in your story caved because the cost of keeping humans was higher than the cost of firing them. We need to flip that math. Firing a human for an algorithm should be the most expensive decision a board EVER makes.
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Viral AI Reaction
2025-12-04T14:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | liability |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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