Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G Didn't see that one coming? ELIZA, written in 1964, "an early natural language p… ytc_Ugyi7aotm… G The only effect the AI craze has had on me is that it's made me want to learn ho… ytc_UgxWdBOiK… G The second robot staring 👀👀👀👀👀👀👁️👁️👁️👁️👁️👁️😂😂😂😂😂😂😂😂robot be like ummmmmm let me … ytc_Ugxff6oSU… G Bro, the art has whatever meaning you ascribe to it. I'm sure you could find som… ytc_UgzjbrQm1… G One man dominates the world. With AI. No wonder Trump is investing so much in Ai… ytc_UgxvlLWOS… G Due to nerve damage to my hands I am unable to really do traditional art. I howe… ytc_Ugw221D0m… G I recommend to hav your drawing slightly blurred in the speed paint in case an a… ytc_Ugx5jXjOR… G The authors of this video might be interested in taking my “course”. My course … ytc_Ugz61RDWq…

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"}
]

Raw LLM Responses