Raw LLM Responses

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⁠​⁠@taniloandrade9669 Scroll to bottom for shorter summary of my reply (TL;DR) idk bro, I asked Gemini and Chat GPT about Jing Ke’s friend Gao Jianli (blind musician who tried to kill Qin Shi Huang Di), and I’ll summarise their responses. Starting off with Chat GPT, I told him that Gao Jianli’s last name was Gao, it couldn’t even tell me his full name even with the relevant context. When I asked it (in a seperate conversation) who Jing Ke’s blind musician friend was it said Xin, Jing Ke only knew one blind musician and his name was Gao Jianli, that in its own was already funny enough that it would just put a random name in there, but the next response had me dying of laughter. I asked for Xin’s full name, it said Xin Zhui, why is that so hilarious? Jing Ke died in 227 BCE, and Xin Zhui was born in 213 BCE, explain to me, how they could have ever been friends when Jing Ke was already in his coffin by the time Xin Zhui was born. Yeah… every single one of its answers was laughable, it referenced a historical text Shiji by Sima Qian then *in that same conversation* directly contradicted that text. Gemini’s answers are easier to summaries: perfect. Edit: TL;DR is that Chat GPT makes up historical people and generally has no clue what it’s talking about at least regarding that topic (however I’ve seen it when discussing other topics as well), whereas Gemini gave me great answers
youtube 2024-11-28T08:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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