Raw LLM Responses
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G
Asimov wrote a lot on robots and AI. It was both fascinating and terrifying to r…
ytc_UgzbSYZKE…
G
so he killed himself over an AI lover? i dont really want to watch the video i d…
ytc_UgwxSs-Mi…
G
I hope AI opens our minds to the illusions of life, such as wealth and money…
ytc_UgznezxMs…
G
He was great. But he has no clue on AI. AI is far greater than all his life's wo…
ytc_Ugwn5aZhq…
G
Any talk of sentience is ludicrous. I can unzip a terabyte of LLM to install o…
ytc_UgylAZoIu…
G
Something I’ve learned from many job interviews is the thing I’ve learned when b…
ytc_UgwANiLve…
G
I did something similar to the copilot ai, it stopped responding to my messages,…
ytc_UgyOdjjA7…
G
That part at 09:58 was just horrifying!!! I mean that's outright disgusting of t…
ytc_Ugyr7W1Yn…
Comment
No they didn’t misunderstand that actually. They literally addressed the possibility of that exact scenario within the article.
>>”The report also raises the possibility that, ultimately, the physical bounds of the universe may not be on the side of those attempting to prevent proliferation of advanced AI through chips. “As AI algorithms continue to improve, more AI capabilities become available for less total compute. **Depending on how far this trend progresses**, it could ultimately become impractical to mitigate advanced AI proliferation through compute concentrations at all.” To account for this possibility, the report says a new federal AI agency could explore blocking the publication of research that improves algorithmic efficiency, though it concedes this may harm the U.S. AI industry and ultimately be unfeasible.
The bolded is interesting tho because it implies that there could be a hard-limit to how “efficient” an AI model can get in terms of usage. And if there is one, the government would only need to keep tweaking the limit on compute downward until you reach that hard limit. So it actually is possible that this type of regulation (of hard compute limits) could work in the long run.
reddit
AI Responsibility
1710737494.0
♥ 28
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_kvdxu7t","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"rdc_kve18sa","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_kve4efh","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"rdc_kve4fw3","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"rdc_kvdxhgv","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]