Raw LLM Responses
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G
The AI learns even though it's illegal, but time will decide who will win. Good …
ytc_Ugz5PcI7M…
G
The Truman Show or Matrix are good Films to check, wether wie live in a Simulati…
ytc_Ugy1tYpUY…
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can any one tell me what is the name of the AI software which is running inside …
ytc_Ughl2u_p3…
G
The Bible does shows that an AI will run the world, movies are not just fiction.…
ytr_UgxmsdTcE…
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That Japan can rebuild roads far quicker, and the introduction of new agile rob…
ytr_UgxNVQ7eP…
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That's y I love to make my sketches in traditional style and trace my own creati…
ytc_UgwoZb7Dx…
G
Youre off by about 100 years. The world doesn't end because of war, famine, dis…
ytc_UgxAc8xLU…
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They are obvously half human half robot. Are you dumbity dum dum?
(Didn't mean t…
ytc_Ugx_J4R7F…
Comment
A great talk and exciting to see how Khan Academy is approaching this thoughtfully and with optimism. I adore that Khanmigo is being taught to "think" before it "speaks." A novel concept. Still many questions. Top of my list: At what age does the Khan Academy team think kids should be exposed to AI? How will the data from student's conversations with Khanmigo be presented to teachers in a way that's useful? Will using Khanmigo for lesson planning lead to better or more uniform pedagogy? How do we prepare students to discern and differentiate between speaking with an AI powered historical figure vs. fictional character vs. inanimate object (the Mississippi River?). The two sigma data is interesting and relevant. How much thought is being put into where these tools dovetail with children's cognitive development and differences, including supporting executive function development. Based on Sal's comments at the end of the talk, he clearly believes human interaction matters... but I'm curious about his specific thoughts on the where/why/when/how?
youtube
2023-05-04T19:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyQKiiUw78sdTVOc5x4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugz0TRKhbcRSepY-6Y14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwJwWSobevHhJCbwWB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxSLmEeF-byOZYQQxZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxeJcJGBYpALK1zFI94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxewg1hLpuEHY6FwyR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyFm5Y_6J22I1D-o2h4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyazVq-0EcBaueQ6i94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgythbRTLp2cO3WyxUF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxB4uDIlfRO6t6G0IF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]