Raw LLM Responses
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It’s all a manifestation of our behavior to try and control life in general. Ai …
ytc_Ugzb7rCG5…
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Anti AI art people: "AI art looks terrible"
Also anti AI art people: "STOP DOING…
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Just give them the real kush they will be fine ! Not this evil poison…
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What you’re saying isn’t mutually exclusive with the video. What she’s saying is…
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That part where Miyazaki was talking to ai “artists” and told them "Anime was a …
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People in India will be controlling those tesla robots and people will think it'…
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Why do people still believe sentient AI will follow human nature? Where is the e…
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Couldn’t A.I. also help solve extremely complex issues like solving world hunger…
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Comment
@horizon-th2392 Believe me, I've watched his entire four part series many times, and I know about how the weights are continuously updated with gradient descent. It's a beautiful piece of math, no doubt, and as Mathematics enthusiast it is a miracle this technology was discovered. But the interpretability of such models is incredibly difficult for anyone. Additionally, I think a major flaw in machine learning is the absence of a strong theory of distributions as a foundation. This makes them more flexible, but it also makes it so you can't run vigorous tests of significance. Coming from a statistical background, it is standard that when you design a model that tests for the significance of parameters in your model. If you add parameters that are insignificant into your model, these tests will tell that you should remove them. This helps prevent overparameterizing a model. No such formal tests exist in a neural network. More simply, people rely on minimizing a criterion, like mean squared error. These are useful metrics, but so much of the rigor that exists in traditional statistical models is absent from these neural networks. When you cannot test if a neuron's presence is significant within a neural network, then you have to guess and check. Same with adding additional hidden layers. This is so unscientific it hurts. It's shame and neural networks need so much more research behind them before we can consider using them for tasks that have such serious implications.
youtube
AI Harm Incident
2021-05-11T17:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
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{"id":"ytr_UgyHcC6ZbGWv0kxXfPJ4AaABAg.AKyspzFigsUAL72oKDMCQV","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugyuba4POsJGww0kbct4AaABAg.9AnTx5CfyWM9SoUBTkUZR2","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgyDzigDi5vQJ292Jg94AaABAg.9A5muLwgrKP9N9tb4Gxm6i","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgyDzigDi5vQJ292Jg94AaABAg.9A5muLwgrKP9NBXaRVUk9E","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgyDzigDi5vQJ292Jg94AaABAg.9A5muLwgrKP9NCxfit8KmE","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_UgytKvBE8iu4WADcwIh4AaABAg.99x5AbHg1Am9K61ilhqMGU","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzckBguyTLTh88eaXF4AaABAg.98lWrymEBwO99zTucip-1O","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_Ugz-8ldChY_OOacRLGV4AaABAg.98FTJAG_P4v99wLNo4tnbj","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgxfrqjJS_wlu8ONq1J4AaABAg.97wuUI8xqkt99xH-WHX6l3","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]