Raw LLM Responses
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G
Because "information" originated from humans, AGI will recognize a definite cast…
ytc_UgyV_UhYN…
G
If every job is automated that means it can produce stuff at a fraction of the c…
ytc_UgwnIexqI…
G
I’ve asked ChatGPT case questions before for some low level freshman busywork an…
ytc_UgxUqHyqC…
G
i cant say im sad that the oil companies have to change the way they work. howev…
rdc_czls8ve
G
It does feel a little unfair how it's the easiest its ever been to get into maki…
ytc_UgygtqRmX…
G
@noblesseoblige319 I’m talking about the purpose of making these bots in the fir…
ytr_UgyQ9tRpR…
G
As you all know, LLMs are dynamic non-linear adaptive filters that perform lossy…
ytc_UgzMoAD5E…
G
AI doesn't need to be self-aware to be dangerous. It could be argued that a non …
ytc_UgwaYUGZQ…
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"}
]