Raw LLM Responses

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Comment
Wrote my college thesis on creative bounds of large language models. Factor out all the ethical/credit/ownership concerns of training data and there are still problems with using LLMs even for brainstorming or idea generation; these models are regressive and while they may be able to recreate relations they gather from training data to be able to come up with great new combinations of things (one branch of human creativity), they will fundamentally not innovate beyond their conceptual space without a human prompter guiding them to do so (unless they start hallucinating, which is just irrelevant to consider as this is not intended behavior). Afraid if LLM brainstorming and drafting becomes commonplace, and people habitually replace certain critical thinking tasks with LLMs, we will see a serious plateau of originality in creative work.
youtube 2025-06-25T21:2… ♥ 8
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyunclear
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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