Raw LLM Responses
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G
I am the government and you committed crimes against me while I’m warning the wo…
ytr_UgzV0owlo…
G
One reason social media was created - to replace humans - to use the information…
ytc_UgzfEqZ1S…
G
We all want to imagine were living in some crazy dystopian world where ai is alm…
ytc_UgwrUclC0…
G
@horrdev Technically, LLMs do not make 'mistakes'; they just produce output acco…
ytr_UgygIcS4m…
G
The real joke is that A.I is racist most funny see it because when movie come ou…
ytc_UgyQ2uSeB…
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It's crazy how they chose an AI model just pretty enough to gain attention, but …
ytc_UgypT-LHU…
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where do you think all this 'missing' money from the defense budget actually goe…
ytr_UgwQ-mTqn…
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It's hilarious that he thinks artists don't use AI because it's "hard".
Nope, n…
ytc_UgwllYbob…
Comment
Great episode, genuinely one of the better platforms unpacking the real infrastructure and second-order impacts of an AGI era. Really appreciate the quality of the discussion.
One point that’s still largely missing: almost no one is treating growth rate itself as the primary controllable risk vector. In every other high-consequence industry I work in as a principal designer/AI consultant, growth rate is the lever. Even if individual systems get safer, accelerating deployment mathematically increases aggregate risk unless the growth rate is controlled.
Nuclear reactors are throttled during uncertainty. AI, by contrast, is accelerated during uncertainty. There is a practical, engineering-led way to manage this using quantified risk budgets (1-in-a-million style targets), staged capability gating, and controlled ramp-up, models already proven in nuclear and aviation. Whoever among the frontier AI labs genuinely adopts this first doesn’t just solve a safety problem; they win the leadership position globally. You heard it here first! :)
If useful, I’m happy to share a short, high-level position paper outlining the approach.
Thanks again; these conversations really matter.
youtube
AI Governance
2025-12-19T15:2…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyWXIolfHVH8DlJGAJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzvXv6kT29yjbwQNyZ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzSR5Sn8v96bLJ9hyZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgycBgNgosKDtxVq7rx4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwIO4V10hvtm0DbRed4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgySBxXJ1TCquAZixpp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwtf-V1cawnd3ME2Dt4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugw-gd1vY9SHit3A29l4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugwoh_S9oM1yo_kqs0Z4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugy7CmLokiOqFI_A4qp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]