Raw LLM Responses
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G
so your fighting a robot that doesn't get fatigue and can calculate movements an…
ytc_UgwfBq1Qf…
G
Tu ne trouves pas que même le machine learning est un engouement ?
Au même titr…
ytr_Ugw5gxvj8…
G
After say that to chatgpt that you know what he say I’m here to help, not to pla…
ytc_Ugx-UJS-l…
G
AI is just a tool for making these artworks, no different than a paintbrush or t…
ytc_UgxW3cJr7…
G
The people need to own the means of production collectively, so we all benefit e…
ytc_UgwjcqO1j…
G
It took me less than a single week to anthropomorphise my cat into a family memb…
ytc_UgxqzjuuA…
G
@anonanon9119 we're talking abt ai 'art' not beliefs bsfr. The literal defeniti…
ytr_Ugz2O_u9w…
G
@cassellkaye yeah I'm 45 years old and I'm pretty sure that if I went up against…
ytr_Ugwb1CgKa…
Comment
The problem with this hypothesis is surely that you run into limits of consumption. Even the uber rich eventually reach a point they aren't going to consume much more, especially in specific industries. A rich person can only eat so much food, has only so many hours in the day to be entertained and only has so many nights to spend in hotels and additional properties. If you're a company selling toilet paper, you probably aren't going to make ever increasing revenue selling ever more fancy toilet paper to a consistent number of butts.
To stick to the food example - as it stands, rich people _do_ spend more per month on food (e.g. they eat more organic food, whole foods...etc.) but as a % of their income, food expenses are much lower than lower-income individuals (especially when you exclude eating-out, where you're saying for service and experience more than actual food itself). If you're a food company who has automated your supply chain and backend staff, and now wants to grow revenues, you're likely to lose out more due to the masses being cheapskates than benefit due to selling the rich fancy produce.
youtube
AI Harm Incident
2024-07-29T13:4…
♥ 22
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyRqpy1f7-b_HNyM_B4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwAUby9wbWUyR03Cxx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyyQkBOObiJDy7_daF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgxzqsLNrIUifTcdc5Z4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyQMsHdiQYcDiE2Qi94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzl9WjgaC-djloZlNZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx7R4nZtCuUJ-aPXRx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw9eiRIv3gaLNqA-5R4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwXa8WTwFpdqnN5mr14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz7cX8rMxYfv8jIvrJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]