Raw LLM Responses
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G
I know an acquaintance who claims to be an innovator for using A.I. for their wr…
ytc_Ugw31-zDV…
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It's funny that they offload recruitment to ai and then warn you that if you use…
ytc_UgxUePD-n…
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ai art will never replace real art. It's too lifeless, too dead, yet real art ha…
ytc_UgzTMvRYN…
G
I did a back of the envelope calculation of driverless trucks vs transitioning t…
ytc_UgyItuELZ…
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I can’t even get my robot vacuum cleaner free itself when it vacuums underneath …
ytc_Ugy81xVZ9…
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It is but im not going to use it as its going to be used by Amazon alexa soon…
rdc_mcsduw5
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Funny how the robots give into every quandry. It's just programming. People dont…
ytc_Ugxpk-Rxm…
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Without watching, I'm gonna weigh in: needs supercede rights and are what rights…
ytc_Ugyv-VWH8…
Comment
Anthrop/c summarizes the transcript as follows: Here's a summary of the YouTube transcript:
o The speaker argues that AI can be used to enhance education rather than undermine it if the proper safeguards and regulations are put in place.
o AI tutors and teaching assistants can give every student a personalized tutor and every teacher an AI assistant. This could help address the "two sigma problem" of improving student outcomes.
o The speaker shows examples of an AI called Khanmigo helping students learn math, coding, literature, and writing. It provides tailored feedback and encouragement.
o Khanmigo can also be used by teachers to help create lesson plans, grade assignments, and prepare to teach new topics. This could save teachers a lot of time currently spent on administrative tasks.
o While some are optimistic or pessimistic about AI, the speaker argues we should take an active role in ensuring it's developed and applied responsibly. If we pause progress out of fear, others may accelerate their AI for negative uses. But we must also fight for positive use cases like using AI to enhance human intelligence and potential.
youtube
2023-07-10T02:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgxLEGw-aH6OcIlZuXV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzh7ZkZDh1ZaL-LILR4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzHP61b76DDZfTL-WB4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzWzWRBO2mr2RNgRFd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzVkx6mdZ2ZoP4NXtd4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwT0zn6B-16TjnSIld4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxJLhqsFLJV6p7DCkt4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwDDNPjEVMgAPrQ4qZ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgzDvS1A4D3_q_YWVP94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxY4ZHLUTOVsfl6tt14AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]