Raw LLM Responses
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The base GPT-4 model has a context size of 32k tokens, while this system prompt …
rdc_koqrka7
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AI could liberate people from mind-numbing, slave wage jobs and free them to do …
ytc_Ugz7vvWyL…
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WSJ scare campaign. As usual. You guys don't even know the difference between Au…
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AI told me that I shouldn't be interested in the Epstein files and I should focu…
ytc_UgzeWCe3S…
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Lol too little support from the government.
Japan is a shitty country on many re…
rdc_gspb42i
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Left reddit due to the [dumbf*#kery around third party apps and API charges](htt…
rdc_hmmy9j6
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These guys are full of shit. It's almost 2026 and AI is nowhere near the level w…
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AI - Humans are outdated, let's replace them. Anyways, Humanity doesn't exist an…
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Comment
@ppancakes104Because the Machine Learning principle is to find patters under one specific task, Computerphile as a great video about it, if the machine is trained to identify cats and dogs, then it won't identify horses no matter how big you make the model.
Most importantly "lie" and "truth" aren't black and white labels unlike the aforementioned cats and dogs, one thing could be regarded as truth or false under very specific conditions. Machine Learning requires good labeling in advance, something fundamentally impossible in this "truth vs lie" scenario; for example whether what's happening in north China constitutes a genocide or not. Moreover we are talking about training data in the trillions at this point so labelling and filtering that amount of data is also empirically impossible.
This "if you scale big enough the undesired behavior will stop" is simply a falacy pushed by big tech people that ignores how Machine Learning works at a fundamental level, it isn't different from Elon Musk saying he's going to make the anthro cat robots real in two weeks if you gave them enough money.
youtube
AI Moral Status
2025-10-31T18:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgyMHE8XQN0fwQ1bNyt4AaABAg.AOxJJNjeyQtAPMVJSJyRWl","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxO0y76IG_y8vQ13-l4AaABAg.AOxJ9Zk38F3AOxP0KrMeyk","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgxO0y76IG_y8vQ13-l4AaABAg.AOxJ9Zk38F3AOxWAdG0zzf","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxTZAxn1kLgnykaOEp4AaABAg.AOxGmPR8QNJAOxHRJ2lCNb","responsibility":"user","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytr_UgzInCW4859HZVBJ3bt4AaABAg.AOxFl8P73tzAOxWxOLjK3K","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgzInCW4859HZVBJ3bt4AaABAg.AOxFl8P73tzAOxYnZC-MrV","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzInCW4859HZVBJ3bt4AaABAg.AOxFl8P73tzAOxby1dLRUD","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwyI_Sn7LYvDBW6_fh4AaABAg.AOx9bK-ts7NAOxFeXf4k5t","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwyI_Sn7LYvDBW6_fh4AaABAg.AOx9bK-ts7NAOxFxUdDs6e","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgwSAEAsiRw5R_WOT-x4AaABAg.AOx7cAwUPknAP0iO4uxNYE","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"}
]