Raw LLM Responses
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G
This is exactly why corporate taxes need to go up. If they're putting people out…
ytc_UgzUIsx-D…
G
So. I should acknowledge I am an agent? My mind goes with the flow. I am not at …
ytc_Ugwxr-qqu…
G
If you believe the value of your experience in life is chasing fake money then I…
ytc_UgzWPLImk…
G
If an AI generated nude photo of Marjorie Traitor Green appears that will be the…
ytc_UgxjbFrT4…
G
this will not replace animators since the ai generated stuff will also need to b…
ytc_Ugxhe29dP…
G
Keynes argued for countercyclical government spending to balance out periods of …
ytc_UgyaOHyxJ…
G
Thankfully, I am too old to see anything but the beginning of the AI era. The fu…
ytc_UgzW0jXy-…
G
Tech Bros: "It's fine, stop worrying, we can put restrictions on AI to make it s…
ytc_Ugy1Shfyb…
Comment
Parsing the 5 C’s that David Sacks lays out, four of them don’t require federal preemption at all:
– Child safety stays local,
– Communities control infrastructure,
– Creators are already federal under copyright,
– Competitiveness isn’t determined by state zoning or speech rules.
The only area where state law would directly conflict with AI deployment is compelled viewpoint regulation — which is narrower and more specific than “censorship” in the usual sense.
For example, a state could define “algorithmic discrimination” so broadly that a model is legally required to generate certain outputs or phrase things in a particular way to avoid liability. That isn’t classic suppression; it’s compelling speech to conform to a legally preferred interpretation.
And here’s the key point: solving that compelled-speech issue would not alter any of the other C’s. It has zero impact on child protections, local autonomy, copyright structure, or America’s competitive position. So this is a single technical policy concern, not a justification for treating the whole AI ecosystem as if all five C’s depend on federal preemption.
youtube
2025-12-09T15:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | contractualist |
| Policy | regulate |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzDi12giJh-C6KWE3J4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgwgitABTnn013WHDo14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwTfx5DfrfG2maoHQl4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzjXKaRAdIgj52HvAd4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx1DpZs16Svz6D28154AaABAg","responsibility":"government","reasoning":"contractualist","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgxPC28D5IaqxR0kQTx4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugx9r5NESjf36m13Bw14AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugy7wba82aL3QDKX1GJ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxbLH8z_4zbHNHJjBp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgxQTRMvSjYRNKg-UkF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]