Raw LLM Responses
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G
I agree, we have the means to do this now & in fact as I said at the beginni…
rdc_dcie0pl
G
Why to pay somebody high salary for work agenda in browser and all computer envi…
ytc_UgxFaWkCz…
G
The only military response we would have against volotial ai would be an EMP tha…
ytc_UgwwrRuVj…
G
9:10 oh come on you trained it with us and it wasn’t like you picked the best of…
ytr_UgxpzCnzA…
G
That's an interesting twist on the spelling of the name Sophia! If you're curiou…
ytr_UgyReK8Dd…
G
Been there, done the same……retired at 39 due to 11yrs ARMY!! But I don’t believ…
ytr_UgzlEWrG5…
G
"Flat earther convinces a chat bot that is designed to be agreeable to sort of b…
ytc_Ugyiji16j…
G
Heh, here's an idea. Lets the connect all the autonomous AI robots to the intern…
ytc_UgyBorayf…
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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