Raw LLM Responses

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G its fine. ai art wont last long due to a lot of reasons but even if it isn't it … ytr_Ugwq1t9m_… G 🤮 💵 Absolutely disgusting how these parents are attempting to enrich themselves … ytc_UgyyDGeyC… G No they won't, no need to scare anyone, all artists are free to expand their art… ytr_UgxHIWyFU… G A big problem is foreign investments in the US housing market. While it’s in a d… rdc_gkriryb G I was a victim of a crypto scam and lost a large amount of money. Thankfully, I … ytc_UgySydmXT… G I know Shad is very passionate about his writing. I wonder how he would feel abo… ytc_Ugyv2unFx… G Adapt and survive - every innovation that people have said will destroy art actu… ytc_UgwYBVaXq… G I really hope if AI replaces all of these jobs that they just give us money for … ytc_UgwdB2TM7…
Comment
I just asked that question to ChatGPT. Short answer: no — I wasn’t directly “fed” or trained on specific books by Neil deGrasse Tyson (or any single author in a targeted way). Here’s how it actually works: How my training works I was trained on a mixture of data, including: Publicly available text (websites, articles, educational content) Licensed data Data created by human trainers That mix includes general knowledge about science, astronomy, and physics, which people like Neil deGrasse Tyson also talk about—but not his books specifically as a defined dataset. So why I sound similar sometimes If I explain something like black holes or the universe in a way that feels familiar, it’s because: I learned common scientific explanations used across many sources Popular communicators like Tyson, Carl Sagan, etc., helped shape how science is explained publicly Important distinction ❌ Not trained on: “Here are Tyson’s books—learn them” ✅ Trained on: Broad patterns of language and knowledge, some of which overlap with ideas he explains If you want, I can explain things in his style (more cosmic, storytelling, philosophical), or compare how he explains concepts vs. others.
youtube AI Governance 2026-04-02T08:3…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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