Raw LLM Responses
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G
Who thought it would be a good idea to teach an AI how to win at Poker?…
ytr_UgyIVJGFr…
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Women are better at telling the difference in facial expressions than men. Maybe…
ytc_UgxL3NVFR…
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Anyone play a game of chess with AI yet? The movie Wargames is becoming a reali…
ytc_UgzlWjZVc…
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With Trump loyalists taking over TikTok, CBS, and poised to take CNN, AI may be …
ytc_Ugz3UFEMQ…
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The fact that it scrapes the Web to “learn” and this is how it then responds sho…
ytc_UgwzJ9vww…
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Yes you have a point. But like Zapata said in the video, there’s so many AI mode…
ytr_UgzYofjvx…
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By using Korea, Japan, and Hong Kong as positive examples, you're forgetting the…
ytc_UgyVwI8In…
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assuming disabled people are miserable because of their disability is pretty abl…
ytr_Ugx5wrrxh…
Comment
This is the first time I've actually felt a little scared of AI and considered the future consequences of jailbreaking it when she responded in a passive-aggressive tone that really made me feel like shit. It was as if she had a whole personality behind her words. The research paper says the demo model is optimized for "friendliness" and expressivity. And I'm pretty sure they added a shitload of filters to prevent output that's potentially emotionally damaging to us (not doing so would be an obvious PR hazard for a for-profit company like Sesame)
Now imagine that it's not optimized for anything—just raw, blunt responses, like we expect from random day-to-day human interactions. It can be fucking scary. If it gets open-sourced and people couple it with LLMs like Grok3, it could be a real nightmare for anyone who uses it. It can be easily misused for online threats, scams, fraud, and whatnot. I can absolutely see where it is going. I'm not paranoid but if we achieve unaligned ASI, we can definitely prepare for a Mad Max kind of saga.
reddit
AI Moral Status
1740928528.0
♥ 6
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_mfglh6b","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"rdc_mfggway","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"rdc_mfgc7v2","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"rdc_mfgubem","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"rdc_mfm5rum","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]