Raw LLM Responses
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G
Humans are made by GOD.
AI is made by humans that want to be GOD.
AI will be use…
ytc_UgwauM6nR…
G
Metal Predators
Lethal Autonomous Weapons (LAWs) are the terminators of life, b…
ytc_UgxNrEYoC…
G
Yes. Yes, it is. You didn't make it clear enough so I think it's okay to point i…
ytc_Ugxa9JmiE…
G
Fair warning for anyone who does deep work, long chats, big context, inputting/o…
rdc_o81ng9j
G
I can't even write what I think about AI without getting deleted by AI 😂…
ytc_UgwaDzNuB…
G
Finally! An artist that actually understands how AI works (it doesn't collage ex…
ytc_UgxaJ_1Qv…
G
Saw someone say that this furvor from the tech world for AGI is this committed b…
ytc_UgzWK-PlU…
G
Health providers in my experience already take in a five-minute soundbite of sum…
ytr_Ugx0NAbI5…
Comment
What happens when the model is presented with far more data than it is able to memorize? How does it get better at predicting the next token? Do you know?
The world's leading experts know. They would tell you that LLMs compress their training data. It is through this process that they learn deeper structures and higher order concepts. What does it mean to understand something, if not to have an accurate, compressed, internal model?
Why is it that LLMs are able to generalize outside of their training distribution to some degree? If they were stochastic parrots, they wouldn't be able to do that at all.
How is it that LLMs are able to appropriately digest, analyze, and synthesize many pages of brand new text it has never been trained on? How can they explain a provably novel joke? How can they get such high scores on reasoning tests with held-out test sets? Why does the level of capability in one area predict the level of capability in another to some degree, such that there are generally stupid and generally smart models?
If you want to know how we directly empirically know that LLMs contain abstract models of the world, see "Othello-GPT" and "Language Models Represent Space and Time."
youtube
AI Moral Status
2025-10-30T22:3…
♥ 7
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytr_UgxrOmrY6YDE805fC7l4AaABAg.AOv6Gc5SKRnARWm76tDG-E","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytr_Ugwq1MXS9SijWsH12dR4AaABAg.AOv6EliHjBGAOvKpYZYcw8","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgymzLCIyUfJaVbCJ1h4AaABAg.AOv5v7OY586AOv8pfUR35x","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugxji0AkAMbhhb3hnvB4AaABAg.AOv5cYuQRGiAOv6Btglisb","responsibility":"unclear","reasoning":"unclear","policy":"industry_self","emotion":"approval"},
{"id":"ytr_Ugxji0AkAMbhhb3hnvB4AaABAg.AOv5cYuQRGiAOvK3Ysdtt8","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugxji0AkAMbhhb3hnvB4AaABAg.AOv5cYuQRGiAOvO20G7Qnb","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"resignation"},
{"id":"ytr_Ugxji0AkAMbhhb3hnvB4AaABAg.AOv5cYuQRGiAOwEazsRprc","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgwrzOutMXtnw3_hHAx4AaABAg.AOv47v_cMnvAOv6SypTxJq","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgwrzOutMXtnw3_hHAx4AaABAg.AOv47v_cMnvAOwon9QDg-G","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytr_UgwrzOutMXtnw3_hHAx4AaABAg.AOv47v_cMnvAOxIElKFGxk","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"indifference"}
]