Raw LLM Responses
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G
Much of this discussion seems crazy to me. AI agents don't have hormones or emo…
ytc_Ugzv98AwW…
G
As a seal in shark infested water, this comment section. I enjoy AI and AI art g…
ytc_Ugx6S8VqC…
G
Watching this interaction took me through many emotions. I was in awe of the dis…
ytc_UgwKk9Jvp…
G
I am a robotics engineer and it is not possible for a robot to automatically do …
ytc_Ugx12MlLZ…
G
Quantum autonomous BOTS are in the
last stages of developement.
The jerky unstea…
ytc_UgwQYedm6…
G
That's what I'm saying but everyday these people are saying how ai is making the…
ytr_Ugzo1Ewi5…
G
honestly it will be all good just think about it thats me what i can see is goo…
ytc_UgzO3BZOg…
G
The only reason any would vote no is if they have interests in other facial reco…
rdc_eksuarp
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"}
]