Raw LLM Responses
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We all know the elites have created spreadsheets that determine categorically an…
ytc_Ugxg9Uze0…
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For me the good interactions are "this is how interactions should always be" and…
rdc_fhioqth
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"Technology is always a product of human choices " that eats... that's something…
ytc_UgxDllisp…
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The library I work at, the head librarian constantly calling staff for meetings …
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On the other hand it could be that AI is highly overrated...here is the challeng…
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FALSE, AWS MAKES ALL THE MONEY
AMAZON NEEDS TO HURRY AND BY NVIDA CHIPS FOR THER…
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I normally just ask a question to an LLM and output to a structured JSON file Sc…
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So please don't try and impress me with cowboy shit cause I ain't n ai but I kno…
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Comment
Regarding unrestricted AI.
You are aware that there are models you can run locally, right? Not on the level of chatgpt, but 65B Llama models are out there.
I can't run them. I can run a 13B one though. I can do whatever I want with it. So your point of no possibility of unrestricted AI is pretty unfounded, considering it's already happening. I haven't looked into it yet, but I assume that just for a few thousand dollars I could really get a rig that'd run something a lot more powerful.
On a small scale, admittedly, but as I say, it's happening already. The largest model with fewer restrictions than chatgpt I have access to is Open Assistant (30B). Also I have access via subscription to NovelAi's Krake (around 20B if I'm correct). They are lagging a bit behind, but it's 100% uncensored. Sadly, it's not finetuned to act as a chatbot. But it's not restricted in any way.
Then again, for how long have LLMs been around? Give it a year or two, and you'll see. Even if it just means running them locally, as GPUs will be probably optimized better for AI, and better optimizations will happen, it will be possible to run powerful AI locally.
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AI Responsibility
1682523696.0
♥ 97
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
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