Raw LLM Responses
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G
I see your ego looking for a power trip. And an algorithm trying to tolerate you…
ytc_UgzTmH-5h…
G
To be fair. I use like 5 different LLMs and all of them will claim to be from Op…
rdc_kcp3868
G
You neeed to know that AI is also a product that they want to sell 😂😂😂😂😂…
ytc_UgxEqlCGH…
G
Artist bros making up arguments by themselves like "prompt writing takes effort"…
ytc_Ugy0zan3p…
G
ChatGP is woke also. People need to understand that when they are letting AI hel…
ytc_Ugw6ExrmS…
G
Imagine trying to live with yourself if AI became sentient and you knew it could…
ytc_UgwIaD9AQ…
G
They take away our work...Although it is of course easier to work with AI, it st…
ytc_UgxD8xMmm…
G
I used an AI generator and used quillbot for my essay and my English teacher not…
ytc_UgwNz_cmd…
Comment
Karen Hao's investigative work brilliantly maps how AI creates "gravity wells" that pull resources, labor, and power in specific directions. While tech focuses on product innovation creating new possibilities, Hao reveals the human topology—how AI extracting data from Global South countries, content moderators in Kenya, and algorithmic bias aren't bugs but features of how these systems organize reality.
Her key insight: AI products don't just solve problems, they create force fields that reshape society. When Facebook's algorithm destabilizes Myanmar or when foundation models monopolize AI development, we're seeing what happens when technical attractors grow too powerful without self-correction.
The quantum field analogy is perfect here—products create probability densities making certain futures more likely. Hao shows us the complete picture: not just the technical evolution but the human cost. We need both lenses: understanding how to insert beneficial products AND Hao's critical analysis of their societal impact. Otherwise we risk creating technically stable systems at human expense.
Essential reading for anyone wanting to understand AI's real-world impact beyond the hype.
youtube
Cross-Cultural
2025-08-15T03:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | deontological |
| Policy | liability |
| Emotion | outrage |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzCxR-Gq-hmiuLNR1V4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgyPPFB_BO2GUzMLMN94AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzZCd7VJsT7jAkR5Sl4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugwi7wj7bqM8aptXv3B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwXTqNR1XU6Ha57jY54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx0afQAwIsOmv6s4GV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugwj6KFbseCDYEbqR3V4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugya4R-Iv9FdUsmDD9p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwxb8-mMal-ao9G1fR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy48H3b-nTMUdBlbVR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]