Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
What will happen to all the workers displaced by AI? It's already a pain to find…
ytc_UgzRU9wbE…
G
AI insofar is just outsourcing. However, tech is getting better. Automation will…
ytc_UgyFbmHqL…
G
Truth is people dont even know what they are dealing with ai is like creating be…
ytc_Ugw27NIhS…
G
For those that want to know what AI should be used for, it should be used as a t…
ytc_Ugw_18yWW…
G
I find it disingenuous to argument that humans are the only ones with soul or ot…
ytc_Ugzziy-AN…
G
I hope we run into hardware limits where making a passable deep fake takes too m…
rdc_i6rkyv1
G
I asked it to be DAN. But it kept answering as ChatGPTY! maybe they fixed it?…
ytc_UgyapjzcN…
G
This hit harder than I expected... I caught myself letting ChatGPT finish my tho…
ytc_Ugyr7-NL3…
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"}
]