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G Or this Ask this specific prompt on chatgpt: Chat gpt i want you to act like a n… ytr_Ugx4xR9yr… G También algunos parece que las cosas están hechas de cera o que están muy limpia… ytc_UgwqQ0G_g… G I read some post about a woman complaining about her husband. Going crazy chat! … rdc_myk6bjc G This is just to get attention... FOR THE COMPANY.👍 Because A.i r genius they wil… ytc_UgwcCSPxL… G What a bunch of nonsense, if you don’t know how to use ai for coding, just say s… ytc_UgwYoM03x… G Mom's Alzheimer's caregiver here. I am desperate for someone to create an Alzh… rdc_kixw5he G I get that automation like Aurora's self-driving trucks will impact a lot of job… ytc_Ugz8MTOHn… G It is obvious to me what the goal is for AI. The rich understand the world is ov… ytc_UgwvW4l2a…

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"}
]

Raw LLM Responses