Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Thanks for this, cause it really shows how AI thinks. Sadly I think it learned a…
ytc_UgwEU9cL_…
G
Isn’t that how people learn too. Think about how babies learn the alphabet. AI i…
ytr_Ugx76uGwS…
G
Im honestly just disappointed. I though AI was for hard tasks like building cars…
ytc_UgzKt-PaB…
G
The only plan you should have is to not send your kids to Harvard in the AI era…
ytc_UgzQ1n5_8…
G
not sure I agree with this. I find it most helpful for things that are easy (or …
rdc_mmc72p4
G
Our team completely disagrees. Our company is not a partnership, it's an 1120. I…
ytc_Ugy71Vyv5…
G
Legal protections are necessary for stolen content, but outside that, it's a mat…
ytc_UgwYUxzzl…
G
In this semester in college I'm in a poetic analysis class. There are so many fa…
ytc_UgyEHZyU6…
Comment
@mrSam3ooo my (very uninformed) hypothesis would be something like the way that words are connected to each other based on their context (different weights in an informational sense), this can be applied too to speech. Large language models are very good at dealing with context, so naturally it would follow that the word "can" in most contexts is the modal verb, not the noun "can" (container) - these 2 different instances of "can" hold different values in the LLM.
Then knowing what the informational values are in the LLM comes from the training data, perhaps millions of hours of speech have trained ChatGPT to be able to speak to such a good level. And the neural networks/reinforced learning have helped define the contexts of when they're used too. So in essence, the programming is more the dataset, learning, and reinforcement of learning than what it sounds like.
P.S. I'm not a computer scientist, or AI specialist of any kind! Just an observer.
youtube
AI Moral Status
2024-07-26T22:5…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgwAR-x487kIL0Hsk9p4AaABAg.A6KL084kHwyA6NKl29xw7K","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwAR-x487kIL0Hsk9p4AaABAg.A6KL084kHwyA6T-nyjlRAR","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxwzDmHBLhZKCnmVAZ4AaABAg.A6KKXYfLIrAA6KLfM5fKZ4","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgxxahG5XjgkZWyhRYl4AaABAg.A6KKOiVNFILA6K_yGR4x3m","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_Ugye8OjxRxnTU-Qm40p4AaABAg.A6KKIyCzh2xA6KfDjCxvvc","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_Ugz5k2h1WxlM6bHtC_t4AaABAg.A6KJhDYnY1wA6KOTnkX2rz","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwUJ2KpJ5nGj816B4Z4AaABAg.A6KJDp4PDNkA6KmCVFJaxK","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"approval"},
{"id":"ytr_UgyzQfCtDf2VYamC5bh4AaABAg.A6KImAA-J0jA6KeFeJN_dN","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxIPyqo0fxdCn3x08N4AaABAg.A6KH_2QJLlwA6M4iwkXimX","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugy9YHn9ZtCJoXKGWMd4AaABAg.A6KGg88mrXVA6KZ3T2MmbS","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"indifference"}
]