Raw LLM Responses
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G
Of all the times watching this youtube channel,...this is the one that got me. I…
ytc_UgzlRL8cI…
G
I posted a pretty funny joke involving a guillotine, and the mods erased it. Don…
rdc_lnnj80y
G
Of course he was murded and his mom has proof, but TPTB are ignoring her. Ro Kh…
ytc_Ugzd8v03H…
G
Human driver 100% would have killed that woman. Everyday that we don't promote t…
ytc_UgwlJMt37…
G
Already seen proof of this with the tea app. Don’t know if they used AI but they…
ytc_UgwbYFhXl…
G
Like it's a bad thing to test AI.
Improving scores, i'm a student so why not?
Th…
ytc_UgxtRu2aF…
G
Instead of going to school, why can't they implant an AI microchip in humans tha…
ytc_Ugw03Pw_S…
G
Ai stans are just a bunch of envious, insecure folks filled with inferiority com…
ytc_Ugxk-qlMS…
Comment
Dr. Hinton keeps missing one of the big examples of loss of income. Let me summarize:
Here in Silicon Valley, California, we have the San Francisco Bay. The area is divided into three parts: (1) everything North of the Bay, (2) everything East of the Bay, and (3) everything on the peninsula between the Bay and the Pacific Ocean. This is the West Bay.
In the West Bay, there are an estimated 20,000 people who drive Uber/Lyft/etc. in order to earn an income. Waymo is now authorized to run automated taxi services over more than half of that area.
This alone is a serious problem for an area where many are on the edge of being able to afford their rents.
I'm going to send this in an email right now. It is about noon in England, where I believe Geoff is this week.
P.S. As an electrical engineer, I have been suggesting to people that we monitor energy usage of large AI systems--what we call foundational models--in order to evaluate their cost to society. This may fit with Dr. Hinton's suggestion of "taxing the AIs".
youtube
AI Jobs
2025-09-10T10:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzwYHCVo275So7Yztt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzG4iFqzn_BbzHC8n94AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwO1XUtAhqemipKM3J4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwb1ivPJTnEJLyM2Lt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzUlzE1hQ-YkimvKTB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugz4eAqnUkzqL92o2ZF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxbgHQG8kmWYJMcCXl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwAqK2GtxjUyw_7QwN4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz7fAqPaESjShXjqDR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"liability","emotion":"approval"},
{"id":"ytc_Ugy61B3Ay89TpyHRKId4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]