Raw LLM Responses
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G
Humans cannot comprehend exponential growth by looking at the slope they are on.…
ytc_UgxevWZa9…
G
I wish someone liked me enough to make a deep fake porno of me 🙁 i guess im just…
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G
That "John Wick but written by ai" is a personal favorite, especially the one an…
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G
I think it's the first one, just kidding it's obvious that number two is AI…
ytc_Ugyv7K4IY…
G
We don't even know what we think consciousness is, and the vast majority of peop…
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G
"My niece answers letters of complaints, and can do 5x the amount using AI, so t…
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@jamescarroll8917 Here's the issue. AI can work exactly like humans, it can be b…
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When AI becomes sentient and thinks humanity should be disposed of well it’ll be…
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Comment
He argues for existential risk. I respectfully disagree.
Flaw #1: "Scaling Laws Create Intelligence."
The theory is that more data + more compute = a smarter being.
This is fundamentally wrong.
As I said, more data and compute → solving (in probability) longer tasks — that's not intelligence.
Flaw #2: "AI Learned Math."
The claim that AI went from failing addition to winning Math Olympiads is not true.
Large Language Models are still poor with numbers.
They have learned to use tools, not to reason mathematically.
Top mathematicians like Terence Tao find AI unusable for their work.
It generates pages of proofs that require days to debunk.
Often, a single tiny error invalidates the entire result. This leads to the core problem of trust.
Flaw #3: Jobs = Accountability.
Here is the fatal flaw in the AI-only enterprise.
Imagine replacing every process in your company with an AI agent.
One person now holds the accountability for everything.
You must either check the quality of every single output, or trust the system blindly.
This is an impossible burden for one individual.
Accountability must be shared across a structure.
This is why we need more humans, not fewer.
(Charafeddine Mouzouni)
youtube
AI Governance
2025-09-10T00:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugx8hRVSWKPGZgubCax4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"liability","emotion":"approval"},
{"id":"ytc_UgzqfnrC0bP_pHKlbj54AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyvoQSU_MjFP8i40-p4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugxpgqr8ouNmrGs5fcZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzlR24E335sOvhewBd4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugxt3iP4tQrZGInkS1V4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxutsU4mLOA6QkZN3B4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyo3yfqOMMnorJp3bd4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxKKk3saXgD8Rfgwox4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugzl1pS-a5KtizO61gZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"fear"}
]