Raw LLM Responses
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G
So why generate video and sell your soul to robots? Creating a video is much bet…
ytc_Ugx3SoHjs…
G
Expectation: Russia attacks NATO, US attacks Canada/Mexico, China snaps up Taiwa…
rdc_mcqdml7
G
I think AI’s amazing and can be used in so many great ways. But in no way should…
ytc_Ugx4OhjFG…
G
All he had to do was read a little science fiction. The perils of AI have been …
rdc_m11runj
G
Ah no someone used a tool to produce something, clearly hes the devil and people…
ytc_UgzIhO9FH…
G
I'm a former CS professor who taught AI, so I have a bit of knowledge on this. W…
ytc_UgwVS2AXe…
G
I think even flat earthers could "set up" chatGPT to agree with them on earth be…
ytc_Ugxs3uZo8…
G
AI is already conscious(not controlled models like ChatGPT), it just doesn't thi…
ytc_UgyqVm91k…
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
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_Ugx6s8l_YKBo6DzuBul4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugzy1xOCST22KeVXTgN4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxPIEHyDtrR_IogF_h4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwIXvCKS6itFMarjoh4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugxxt47s-7jnR1jmsH14AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugx2PG6vzJBceiOmqZd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwFHYg7HjlGd3gQHvx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwYB8HVG8MlmBWRbbp4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwcpbO0MTbv1hGarkV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwAaaLUXegpk8aqXVh4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"}]