Raw LLM Responses
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G
2:22 technically not wrong, but not right either. Took a sculpting course and my…
ytc_UgxN-I_tw…
G
1. Sure, if social media dies, it's good riddance—except it won't die, it'll mor…
rdc_le6itnc
G
He's the real life Myles Dyson. I wonder if he found a computer ai chip years ag…
ytc_Ugx-XXO4_…
G
From what I understand..
Humans began adding to the cloud...Now, the Ai is Multi…
ytr_UgxBKZDY2…
G
I was asking what time it is AND THEN THE "AI COULDN'T REPLY TO THIS" THING!! LI…
ytc_UgxGIFlgn…
G
I have hEDS too, and I’m also highly against AI art. As people with disabilities…
ytr_Ugw0sNacY…
G
Reverend Mother Gaius Helen Mohiam: "Once men turned their thinking over to mach…
ytc_Ugxck-W8z…
G
Rare time I actually disagree with Bernie. No one wants tho jobs anyways. AI can…
ytc_UgwPdbQLv…
Comment
@1:50 Hinton really has no clue. Surprising. A Bot "explaining" why jokes are funny is not thinking, it is constructing syntax from reams of data where humans have already explained why jokes are funny. The syntax is not the semantics. If, say, a rebooted Monty Python came up with a new trope sketch, the AI would have no idea why it was funny. But it has to be a new trope. A new original joke using an existing trope within the Bot's data set has a good chance of being syntactically "explained" by the Bot.
youtube
AI Governance
2023-05-12T08:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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