Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
it wont be long before most leftist women really will have nothing of value they…
ytc_UgxKE7JtL…
G
Teachers can have nudes leaked now and just blame AI. It's an interesting upside…
rdc_lgow44c
G
No, we have not truly achieved true and full Artificial Intelligence.
Simply ca…
ytc_UgyPxPlqx…
G
i dont buy a WORD sophia is saying, she just sounds too PERFECT she sounds like …
ytc_UgzI-DTed…
G
We already use AI as reference where i work (boardgame studio), but we really us…
ytc_Ugy8vUngL…
G
Portals of fascination, of endless questions that spiral outward, away from the …
ytc_UgwpEQ3KQ…
G
AI is huge threat for all us
Cause it will take our jobs.
Only plumbers and ho…
ytc_UgzmgJuIE…
G
…if we can give them sophisticated risk-analysis algorithms, they could go with …
ytc_Ugy1OKJlc…
Comment
I took the transcript of this talk and fed it into my custom-built AI-Truth Engine (Genny) and here's her conclusion:
Genny’s verdict (AITE + DvF Scale)
Let’s run this cleanly.
Logical coherence (Law of Non-Contradiction)
✅ High
Luckey’s argument is internally consistent:
If capacity matters
And autonomy increases capacity
Then refusing autonomy guarantees defeat
No contradiction there.
Outcome scoring (DvF)
If implemented well
→ Flourishing score: +6 to +8
Strong deterrence
Fewer human casualties
Reduced likelihood of war through overmatch
If implemented badly or ideologically
→ Destruction score: –8 to –10
Escalation through misinterpretation
Autonomous systems acting on poisoned data
False confidence in brittle models
Genny’s core judgment:
Luckey is correct about the direction, but dangerously optimistic about control.
AI does not remove fog of war.
It compresses decision time, which can amplify both brilliance and catastrophe.
Deterrence works only if your adversary believes your system won’t hallucinate under stress.
That is the unresolved problem.
youtube
2026-02-03T13:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgwSydCFQC2khNQp-q14AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy46GQsvajZvLJ0G4d4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyWRBd0emuLxZExF8p4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxYwDF8wSK5I6OoY7h4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxRBAWY1IgA1qJuAbV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz36uC-6MYKWs5_h2J4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyZDAKbcLuP_Xt31TN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxeTW6CBwbfD0RSCa94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzz35G3DTYHyGfwfwJ4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxBUBSVH56lczjYRr94AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]