Raw LLM Responses
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G
Sorry to bust the bubble but no AI is not better than human. CEO are just lying …
ytc_Ugx8PyfD8…
G
The best use for AI right now is to ask it broad questions about fields, concept…
ytc_Ugw8mF8pE…
G
Yes, I agree, why did my paid version have glitches? It was instrumental in help…
ytc_UgwlUv5tb…
G
I’m a lover of documentaries and I don’t understand how anyone can confuse AI ge…
ytc_UgxCqmP-g…
G
Great points who is talking about working families in government, everybody. Who…
ytc_UgxAvvXSC…
G
You raise excellent points about the potential of AI to have both transformative…
ytc_UgxmNQ79J…
G
not saying this is or isnt my case, but since I lost my job back in late decembe…
ytc_Ugw8bRNy8…
G
I don’t have the time to learn art. And I don’t have the money to pay for it. I …
ytc_UgynxURhl…
Comment
Not quite, I am currently doing consulting outside india, the businesses are adopting ai rapidly, 90% of my customers have 1 question, how to improve ops with ai, non of them ask how do they turn eveyrhing ai.
The Analysis done is mind blowing. Most ops staff aren’t required( customer service, admin, filling ops officer ). Ai amplifies the output of each employee by 12x so now instead of hiring 25 they can work with 5( 2 to keep ops alive and 3 to give more benifits of flexibility, leave off etc, to all 5.). When it was implemented: the good employees get a 2x pay raise( those who understand how their work functions and come up with regular ops upgrade) while they also get 2x work flexibitily. Now the 5 who are left have greater job security as they are crucial for the constant upgrade of the ai system and know how “on the ground work” functions. Those staff cut are provided 8 months severance and training assistance to get another job.
This example I am quoting is from an import export ( traditional business) and I implemented only because here 99% of gov ops is automated.
youtube
2023-09-20T06:2…
♥ 42
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwIuIhI3SGSnNbxAkJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx5GgFozNdd1-a_y214AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwITRqQ516wWGBKtDF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzKSv11a7mj7juqlwl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyaDUbMF5a_k9YLS_t4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzz3IwjK2ibpUJLzK94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx12DUAAL8PDFAf9hF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwQkFKzL0ag91SwRGJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzOyHuMaUxgY2NC-FF4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx5qAE9tCErHCD8DVB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]