Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
There’s so much micro-artifacting, I don’t see how people get tricked by deep-fa…
ytc_Ugzh6Pg_f…
G
Facial recognition is a good tool if used correctly. It should only be part of t…
ytc_Ugy2tdmzu…
G
America and China are heavily competing against each other in AI development. An…
ytc_UgyjDh1EL…
G
Suppose algorithm is to make things better on earth. For this if robot decides t…
ytc_UgwrpQRA9…
G
Covid & the vaccine both weee created for depopulation, they have known for year…
ytc_UgxgVeYDp…
G
“At first, AI looked great.”
Yeah, which is how it always started in every sci-…
ytc_UgxnC1Jd8…
G
the take about ai having lower cost of entry is just laughable. I draw on my pho…
ytc_UgyXfqnLh…
G
I felt that getting into these AI self driving cars are an added risk to your li…
ytc_Ugx0rfjr7…
Comment
With respect to the first part of the talk, the problem I see here is NOT using AI per se. The problem is perhaps the underlying idea of what the goal of school math education is (or should be). Is it making kids able to solve problem, focusing on the product (e.g. the correct solution of an equation)? Or is it helping kids developing the mathematical thinking? in the example provided the "AI personal assistant" points out to the correct application of a rule (distributing the factor to the numbers inside the parenthesis). However there is no help in uderstanding the "WHY" of such a rule. I would think that a good teacher should help stundents UNDERSTANDING why such a rule exists, working on their high level thinking skills, rather than focusing (only?) on their ability of remembering and applying a rule...but then again I am not so familiar with the Khan Academy so maybe that kind of thinking is developed in other parts of their math programme?
youtube
2024-05-04T08:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | unclear |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzRq1sqoK6z7c7pFtx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzxTKZISTj6G3ZMJ-d4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyBYJsYsrCR8lFwvlt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzuc-vJZsY3BaLs1MB4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"unclear"},
{"id":"ytc_UgzlPYEIr08_cYwqwxN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwa31NAqMMaD2J6KqJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"unclear"},
{"id":"ytc_UgzF3B0nuJ7j7A25ZYN4AaABAg","responsibility":"none","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugzvi0O-cnXE0LuP5OJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyu5XuPse6VVurjEa54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzVyFJX1KViYw_Hh4V4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]