Raw LLM Responses
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G
Ai - type type, done in like 2 seconds
Art (traditional) - done in hours, lots o…
ytc_UgyrUzwrM…
G
They need teachers to guide them,the problem with education are the people we pu…
ytc_UgzNHojpZ…
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That's INSANE ! We had ai tell a little boy to commit suicide..it even wrote the…
ytc_UgxEM5XWX…
G
You can get a pencil and some paper and start learning then, it's more rewarding…
ytr_UgzYGzNY2…
G
Dearest Pindex and Stephen Fry voice,
A frightening set of likely scenarios. Ve…
ytc_Ugx8HMmH9…
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This was a shitty defense in all honesty. You let AI into the art world in the f…
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G
Ok I think you buried the lead here, the fact that there are predictive crime AI…
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Perhaps automakers should have the AI disabled until those who own these vehicle…
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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
[
{"id":"ytr_UgyHcC6ZbGWv0kxXfPJ4AaABAg.AKyspzFigsUAKzeWSzLItd","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"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"}
]