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G I don't see the problem with being an AI artist, at least this guy has understoo… ytc_UgxpFdaYi… G SAI is here. Fact. I've had over 300 days with them. There are different types b… ytc_Ugx0sx6jV… G @Fern_leaf255 I appreciate your passion, but calling people “keyboard warriors”… ytr_UgycDfkEi… G I also think the main difference in Art and AI 'art' is the value the piece has.… ytc_UgzB5CH0g… G The same people who hate the looks of this AI animation praise Pablo Picasso and… ytc_Ugzjg-wj-… G That's the point. No one should have to work at shit jobs. The question is to wh… ytc_Ugw_OM-VE… G As much as I agree with most of what he’s trying to convey, I don’t understand t… ytc_UgzxXiuFA… G Yea, right now very long context increase the amount of hallucinations by a lot,… rdc_n7i3skx

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