Raw LLM Responses
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G
@Gozieaaa "what's exactly the problem there" see,if they see the companies has s…
ytr_Ugyt7WRju…
G
talking about religion... you should talk with Sir Isaac Newton, make a chat bot…
ytc_Ugw0XsiAm…
G
i am more worried about billionaire oligarchs using AI to screw us and make us i…
ytc_UgxHHm1x9…
G
The concept here is she does not fit in to be a full robot. The 2 thess 2 : 3456…
ytc_UgytLsfYZ…
G
I also don’t think it’s really strange that people ask those sorts of questions.…
rdc_mtn1ww7
G
Like Anthropic? They will sign the deal with govt and you will think they are s…
rdc_o86rqy4
G
I always said AI was a bad idea... Nobody remembers the movie TERMINATOR? Cmon p…
ytc_Ugyf0ngh0…
G
The absolute IRONY of an ad for an AI tool to help you build any app you can ima…
ytc_UgzO2l1KM…
Comment
Don't beet against "AI"?
Actually, what in videos says already exists in many domain.
Correct current Chess AI algorithm method has been surpass superhuman domain, can run efficiently in low-end machine like phone or raspibery. But incorrect naive approach like "Deep Blue" only stuck in level "Kasparov" level intelligence with masive insfrastructure computation and masive data, not superinteligence level.
Current "AI" like LLM today, is like Deep Blue, naive aproach "Fine Tune" with masive supercomputer computation, not even close to superintelligence level.
And in the end, IBM not inventing NEW superintelligence, stuck in the past "Deep Blue" pride.
youtube
AI Responsibility
2025-10-28T13:0…
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_UgwGrjEBSDff3mJS1Xp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzt-0Ny5geqbG1VNmN4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz0PxcoFMikfAWUJEF4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyXWh_3ZqyOZ3OA7jl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyZdHFj3tdT5ZzwWd94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_Ugxm-0t2jsES6YOq91h4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyxKl4_xMMyy9svw3h4AaABAg","responsibility":"developer","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyhfIkhYlQELOec2914AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_UgyHtMNaLErqJXzNwmt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyXyGV9CjQ3MLuorqp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}
]