Raw LLM Responses
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28:54 So, we’ve apparently reached the stage where instead of calling people bec…
ytc_Ugxew-8ly…
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The self driving car couldn't detect a metal bicycle and a human body crossing …
rdc_e146nru
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the working class lol.... turning the A.I. conversation into this kind of talki…
ytc_UgydTtVNy…
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One reality based on a very warped idea of what humanity can become. In the worl…
ytc_Ugwe10-Ya…
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It's not just advertisers that buy the info, the big money is with companies for…
rdc_kvyzubw
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it's not like Anthropic is against war or something, they just said their models…
rdc_oe51w3r
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just letting ya'll know that if all this is in some universe true then ai is gon…
ytc_Ugw9V8xCl…
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"Everyone gets richer quicker" WTF?? Where does that money come from? You printi…
ytc_Ugz6uAmee…
Comment
I think some maybe most people have the wrong idea as to who and when for AI and the workplace...
Our current AI and most likely near-term AI. Wont replace those making something new. Programming for example wont be replaced by AI. The work towards new will be done by people. The work that's been rehashed a million times will be done by AI tools to make repetitive work easier and faster. This WILL lower the number a given company needs by a non-insignificant number of people still overtly affecting those in the programming field....
The when is more a question of how long it takes for the tooling to perfect a given repetitive task or answer to a question. It cant just give an answer it has to be correct for it to be profitable. In the vein of call center workers. This means the front line no longer needs to be someone suffering in answer to every single call. But every single call could be used for AI to learn how to take those front-line questions. Machine learning is rapid growth with bigger models and though it doesn't work well this moment. It can work well in the very near future as growth from data points is exponential. Edge cases and more complex issues will still need to be triaged by a real person at least for now. But that does mean companies will need fewer folks to do this work over the next few years. Overtly affecting those in any field that directly interacts with consistent and repetitive tasks.
It will however cripple our society if we don't move away from the old social contract. If we don't start setting people up as valuable not because of what they can produce but because they are valuable as people. We need leadership who are thinking about the life of the average person tomorrow. Having discussions about the very real realities of what AI will mean in the very near future and preparing for it adequately as folks leave the work force.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_mxy5uxf","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"rdc_mxyvtuh","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"rdc_mxy8u6r","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_my0bkme","responsibility":"ai_itself","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"rdc_my0rln0","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]