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Neural networks can absolutely be randomly sampled from using randomly generated values. Its literally random the same a way a dice throw is literally random. If you know all exact parameters including the seed of the random number generator then you can predict it exactly but otherwise you only have a probability distribution. Transformers learn probability distributions, not decision boundaries. They are sampled from and that means each result can be vastly different.
reddit AI Responsibility 1705337381.0 ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
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