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G if you use Ollama locally with a local ai model, they get none of your data, tha… ytc_UgyabfX3w… G Now is a point to never share any images of you... Literally. No selfies. Unless… rdc_k7lrth7 G lol, productivity and wealth creation is already through the roof and I don’t se… ytc_UgzdXA3SI… G I’m curious, how many of the ads promoting the use of AI were actually DONE usin… ytc_Ugyb8fDSr… G I'm not gonna watch the entire thing for one simple reason. Its bullshit. Why si… ytc_Ugwyx374u… G We should be mindful that ChatGPT has been corrupted to be liberal. It tries to … ytc_UgxRdP-NO… G Seems to many that the technology is being calibrated and fine tuned with the h… ytc_UgzvQQyQQ… G @toadbrains honestly that sounds pretty fun, I especially feel like that would b… ytr_UgzAhhyG7…

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