Raw LLM Responses
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For people who don’t know
Microsoft is providing azure and AI that are used to …
ytc_UgwHn0lyh…
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All of this is b.......it. People get fired because of ai. Companies are furious…
ytc_Ugz28Z-2V…
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Tell me about it! The amount of terrible 'designed' artwork I've seen lately has…
rdc_nnshdtv
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This is stupid. AI will be its own architect in 2 yrs. It is the last job I wo…
ytc_Ugw9fscDN…
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1. Conservatives have long devalued art and artists, so they would naturally ju…
ytc_Ugxislf9J…
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Can Ai rewire my house or do my plumbing?
Marketing sheet. Sick of you pushing …
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@ajdndbdjbdj
I'm not lying. I asked ChatGPT: do you keep all the conversations …
ytr_UgzUiL7sZ…
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Andrew Yang is a spy for the CCP, listen to all of his talking points (Don't try…
ytc_UgzrwkUYm…
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"}
]