Raw LLM Responses
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G
It's great how well AI can generate a robot that was made today, yet looks like …
ytc_UgwbMPAff…
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I left education got a job to get a house and got into a position where I could …
ytc_UgxHZ2fhq…
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Please point to images that are copied entirely by AI and posted elsewhere. That…
ytr_UgzOx4diK…
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• I believe we are meant to be like Jesus in our hearts and not in our flesh. Bu…
ytc_UgzHnxtrG…
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Well, hmmm. There may be some validation to what was said so far. I use AI, and …
ytr_UgyyhRJD0…
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Bold of you to think the AI bros will watch this tutorial instead of reading the…
ytc_Ugw_DdgUY…
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The thing is rich people dont need the masses really, they just need resources. …
ytc_Ugz8CUErJ…
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it's marketed as "self driving" and "autopilot", so people turn it on when they'…
ytc_UgwbA7Ju2…
Comment
The cool thing about the Fedex arrow? They got it to work in quite a few other alphabets, and in right-to-left writing systems the arrow points the other way.
The problem with Tyson's discussion of AI/AGI is that the subject is really not in his area of expertise. Astrophysicists are not huge users of machine learning outside of data analysis (though ML for data analysis has been an incredible tool); his explanation of AGI is nearly as bad as your explanation of "gravity and orbits". Which is to say, in the same town as the ballpark, but so imprecise it is utterly useless.
This is Tyson confidently asserting that planes can land with their engines disabled, but helicopters cannot. Why are physicists like this?
youtube
AI Moral Status
2025-07-23T18:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_Ugy7iTpAjBgvNFodIrl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw3Mr6w--TYoQMzd7l4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugy5uL99BUDWUZSpt814AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzVrHxzHO8zqTxr2K14AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxjXbz2wScnTE4A1jp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwYndSuBgfmlaemQAl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugx05Dskt1mjeZW_nup4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugy0Phabqni1bd0Dd2Z4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugzb7WsW2pllwxy0IXh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy9fg_nQKfLKYV_-DV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"})