Raw LLM Responses
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G
You can smear sh*t on walls and its more of an art then ai art…
ytc_UgxHUww8Y…
G
I think this interview is interesting. What I remain entirely unconvinced about,…
ytc_UgxobHMDH…
G
You know what? Replacing most nepoba--. I sm sorry, CEOs with AI would actually …
ytc_UgyNHnTXl…
G
The way these YouTubers are promoting AI is like as if they have been working in…
ytc_Ugwdf0pEM…
G
Bro ai is actually taking over jobs bc in airports, there are robots that are ch…
ytc_UgymmHqSq…
G
It is an economic thing but not in the way most people think. The places with hi…
rdc_ljbry52
G
Robot in the car : im alibe🖐
Robot with gun: we did it ... Stewart 😂…
ytc_UgyHitK0t…
G
7:20 the fact that hes using m dashes probably means the whole thing is ai gener…
ytc_UgwbtI1mJ…
Comment
It's not fair to say we don't know how this works - we do know how, in general - we've been building up to this for decades with massive study using better and better hardware. We can see how it works in tiny models tested decades ago, but now, we cannot examine all of the parts to explain - exactly - what comes out, as it's built by our looping code that runs through (more than) trillions of pieces of data, again and again, before we see a result. That said, the scientists who build these still have a general understanding of what's going on, otherwise they wouldn't be able to make all this. You can't just connect all of Google's servers with jumper cables and expect a big brain to emerge, right?
It's true, though, that they try to filter the output it makes - that's why we talk about breaking the AI, getting it to sneak the stuff we want out past those filters.
It's also true that we don't know what it will do exactly, since there's too much to look at to predict it. So in this sense, yes, we don't know how it works, for any result - we can test it and see clues, but an exact explanation we cannot give, since we're only human.
youtube
AI Governance
2024-01-02T12:3…
♥ 11
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | mixed |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugwd8A7YYhFXAwoYHqN4AaABAg.9z0ud6pdYmT9z2Qkrc6ybW","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_Ugzsspx8U5i97Dw3Hzh4AaABAg.9z0FF_8mKgL9z0HBhorYPq","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgyFvmrBbvjAY5zxS8J4AaABAg.9z04qj5VKXk9zVzX2zSU4G","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytr_UgytOX9HlbunRA1M1HB4AaABAg.9z-yNN1nAx09z0LLf0ZL4r","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugw0sikXfEzxUBGHq3h4AaABAg.9z-y4A1BTrB9z0IsZe0tol","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugy1eUEHvroCwoYDCDd4AaABAg.9z-uuK4ggbb9z-w6nQTLWu","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_Ugy1eUEHvroCwoYDCDd4AaABAg.9z-uuK4ggbb9z0JPsShvhT","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgxcqxiR4P49RsvpjTF4AaABAg.9z-lXDCioPY9z2Of_Bgvj6","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_UgxcqxiR4P49RsvpjTF4AaABAg.9z-lXDCioPY9z3mL83PWw6","responsibility":"unclear","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxcqxiR4P49RsvpjTF4AaABAg.9z-lXDCioPY9z3miaTsPN6","responsibility":"developer","reasoning":"mixed","policy":"none","emotion":"mixed"}
]