Raw LLM Responses
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G
DoD wants to play Calvinball. In July 2025 (Trump 2) Anthropic and DoD came to a…
rdc_o7w1czz
G
Let’s keep it real though. Nobody I know uses AI for anything. I know a guy or t…
ytc_UgxmVk309…
G
Dont let these Ai bros call generative images "Ai art" call it what it is.
4:10 …
ytc_UgzgQqHzB…
G
i love how artists are having a whole war with ai and programmers are just chill…
ytc_UgxdacoYT…
G
Mh honest question about this.
If a human were to read, listen to, look at info…
ytc_UgxN98Cl0…
G
Sometimes a human would react much better than the autopilot. As at 0:06:43 . Th…
ytc_Ugz_ESyqi…
G
AI may very well make better people than people…. Maybe it’s the natural progres…
ytc_UgxCJ8Cqi…
G
Lazy biast reporting. You can't compare 1 million waymo miles with ALL tesla mil…
ytc_Ugyw127x8…
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"})