Raw LLM Responses
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G
Yeah, lol, that works. I asked how people with ill intent would go about using a…
ytc_Ugwn8Rbw6…
G
Driverless trucks = truck robberies. The freight will be stolen, likely by the j…
ytc_UgzfuxOl3…
G
Its not AI its the cliwns behind it! Not the first time that this has happened!!…
ytc_Ugy6ba_mY…
G
What level of hubris do you have to have to think you can create something that …
ytc_UgwP8zE91…
G
Rather than spending all that money on ai to make art they could spend it on art…
ytc_Ugxr7ae9Q…
G
How ridiculous to blame AI for wiping out the “working class.” There is no work …
ytc_Ugx8bE-gl…
G
There is no creativity without the baseline work. You cannot take those two apar…
ytc_UgzQaoUoV…
G
I am not sure who to believe here. I just watched an interview with Geoffrey Hin…
ytc_Ugxz4Z9Ez…
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"}
]