Raw LLM Responses
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G
The humans were also trained by humans. We'll always end up with a result based …
rdc_m2c5z9j
G
@bariettaperez well, jeez… it just JP doesn’t have a degree in computer engineer…
ytr_UgzFzGIo-…
G
When you become so used to interviewing that it tips the scale of your emotional…
ytc_UgzdD8YoC…
G
i couldn't give a fuck about someone using ai to draw, like just let the dud pos…
ytc_UgzDHrqOB…
G
It's not messy, it's definitely the same as how humans are inspired by other art…
ytc_UgwrnttJM…
G
How AI destroy something that doesn't need AI like the amazon tribe people's the…
ytc_UgwRAJ330…
G
Thank goodness Boston's streets were originally cow paths and these fake self dr…
ytc_Ugzx9oneC…
G
It fires a total of 96 autonomous drones in three-second intervals. China has be…
rdc_ogqjcga
Comment
Several years ago OpenAI beat the crap out of the best Dota2 players in the world (which is a very difficult game to master). In some matched at the 2 minute mark they already predicted their victory (it was percentage wise). From a human standpoint it was quite a surprise and too early to be able to conclude in which direction the game was heading, yet the AI predicted everytime they would win and they did. The gameplay choices they made were absolutely astounding. If you understand the game it is absolutely fascinating to watch the OpenAI matches, 1vs1 and 5vs5. This is no small feat, the complexity of choices decisions and possible outcomes is infinite, yet the AI mastered the game flawlessly. Imagine how much better it would be after it would get to train after each defeat (if that were the case). I predict future games of A.I against A.I. You would have pro sports of AI teams developed by various countries. The possibilities are frightening and fascinating. We are indeed summoning the beast , as Elon said.
youtube
AI Governance
2023-07-07T09:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugxqk_VC6SlIDTTfn6R4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwCTaqJJUDKWCJUSZl4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyAUVNitIMqCQ65pZ54AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugw4JsyztwiK3z4mvkR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxaV2thqpS0bHbi58l4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzgED1uKApx4WdjdqR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_Ugwzx7yYuayXe0U25ol4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugwm9lFj_lHROEnANwV4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyBrOUQ0HTMpmv99E14AaABAg","responsibility":"developer","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugxa7Dwt8eRfqcnvE554AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"fear"}
]