Raw LLM Responses
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G
sadly AI is here to stay and it cannot be shut down.. it's like the internet .. …
ytc_UgxN7vhig…
G
Thats where UBI would come in. The next chapter in human society is for technolo…
rdc_jefvxx2
G
@daughterofthemosthighking5095 these LLMs are not being trained on emails. Maki…
ytr_UgxU7k4wV…
G
That's why you implement policy to deal with automation. Humanity could phase ou…
ytc_UgwhO-KfU…
G
My art can be bad but im not going to be replaced by an A.I making arts.…
ytc_Ugy2HkUdG…
G
There is no Future. Besides smaller microchips, the Internet and AI, nothing muc…
ytc_UgxCMKJrq…
G
Is this surprising to anyone? It not “AI” in the general intelligence sense, it’…
rdc_kozxph5
G
YouTube is allowing a.i. created "doctors" giving faulty medical, nutritional an…
ytc_UgzrU5P6b…
Comment
Learned a lot from this video. Two thumbs up. For the specific example he gave, the number tile, I think "reverse engineering" approach, couples with the AI process he described, will solve the problem more efficiently. That means I start with the end sequence = numbers in ascending order left to right, top to bottom. Then I map out all possible paths to "chaos" state = all tile arrangements that are not the end sequence. I can determine all possible chaos states = 16! = 2.092279e+13 assuming the hole is also a tile. The possible paths should be much less than 16! because each move along the way to a most "severe" chaos state is a chaos state itself. The map will look like a family tree, starting with the end sequence, and the last progeny of each branch is the most "severe" chaos. When user enters a chaos state, the algo finds where it is on the family tree, follow the reverse path/moves back up to the end sequence. The reverse-engineering approach will only work well when the goal/end is well defined.
youtube
AI Governance
2023-10-11T05:1…
♥ 11
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgwoqklYpulnTTI7UW14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxkmpcQxxmO7LhdXjV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzU33GwlROeKXXCI794AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyiAp0OZjid-D0FTCN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzd1bpl-FbaSohT2T94AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwFh-yHF-HcsMNlBLN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgySO1rE6aWBkC3m6t94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwv_ZaBlREQe0as8st4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzKYL2mRURysmjAuo94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyWOXoXdToOt6aNcBV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}]