Raw LLM Responses
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G
So the argument is that artists currently make no money and that ai art is bad b…
ytc_Ugz1-Kkta…
G
Haha, it sounds like Sophia made quite an impression! AI can offer unique perspe…
ytr_UgyM1hRX6…
G
Honestly, I have no beef with AI tech except that there is no easy method or com…
ytc_UgxWLC0Av…
G
I hate this argument. No, we COULD put it back into the cage. It's just extremel…
rdc_je4hkk0
G
This is an such fascinating (and absurd) situation. I think the story is less an…
ytc_UgxB9U2aF…
G
this is just that scene from Futurama where a scientist builds a robot who does …
ytc_UgxYyI0uQ…
G
1:28:30 one would argue that consciousness is a stream of connected experiences.…
ytc_UgyHcrynJ…
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I assumed LeCunn meant to imply broad progress of positive actions overwhelming …
ytr_UgwMSBDoN…
Comment
As a researcher I find the direction that tech companies took ML so frustrating. I’m not the only one. I have a friend who has been working jn ML industrial research for years. She actually suggested use of LLMs at work before chatGBT took off. And she’s considering going back to school because she hates the direction it’s going.
ML is super useful in many data analysis applications. You can can make ML environmentally friendly. You can make ML without stealing copyrighted work. You can increase accuracy. All of this can be done by narrowing scope.
Not only have they gone straight past all kinds of morals but they don’t properly validate the outputs for accuracy and bias…
And the whole fact they are called “AI” is entirely misleading . And now the whole “Agentic” AI is even more bullshit. It doesn’t have intelligence. It literally takes data, and then feeds it through a bunch of mathematical transformations with weights. That’s all. It’s closer to a series expansion than it is to intelligence.
That is also another reason why “this is how human learns” is a terrible argument.
youtube
2025-08-02T09:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | mixed |
| Policy | regulate |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugx2dfQcqgp1dczHvBJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyaSaRBRB7u3l68eCB4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgzNk4pmbBgARQrPvgZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyPLQYv-j3pxZVvQyN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgywQwlf3Dx7TzMfZW94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgyJmtYRYVjBP54KIQ54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwplIehm9xnoHMPRIp4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyDdcXNhAObqqlEq5F4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw4svb9_AK-yaV6ux54AaABAg","responsibility":"company","reasoning":"mixed","policy":"regulate","emotion":"frustration"},
{"id":"ytc_UgxdjM47PWIDF4IaQ0F4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"}
]