Raw LLM Responses
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G
The Brain like AI is great at random production, the intellectual property part …
ytc_UgxItmHQN…
G
I finally got it! (After 2,5 years of thinking on the matter). This is as I see …
ytc_UgzyAlrc1…
G
Even if a video existed that shows he was assassinated, nothing will be done. Op…
ytc_UgzSvWJmf…
G
Hey you have failed to understand that the AI based robot may think on it's own …
ytr_Ugz3ml_y9…
G
Ai is fun to use for reference or to mess around with, but not for these purpose…
ytc_UgyZhtXdw…
G
AI has significantly improved my conversational skills that took a big hit after…
ytc_UgwaWR_yd…
G
I know how to code but I use it do develop things that I am not very familiar wi…
ytr_UgwVois_A…
G
That data from Anthropic mentioned by this guy is interesting... so just 4% of o…
ytc_Ugx1qWtRP…
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"}
]