Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
It’s not only stealing in circumstances when it is given a specific artist to co…
ytc_UgzUbdM1n…
G
@ytuseraccount thanks for the insight!! I just saw a video on how "all the prob…
ytr_Ugy6-ec3Y…
G
you scared me for a sec there😅 I thought you were trying to defend ai, glad ur t…
ytr_Ugwfy1K34…
G
This reminds me of the time somone almost got out of getting arrested by adding …
ytc_Ugx08UHTu…
G
If a musician used it like that, then the AI would be the composer and the music…
ytr_UgwUnqpfI…
G
I appreciate your strong feelings! It’s clear the interaction sparked a reaction…
ytr_UgzrzaWmf…
G
Soooooooo.... AI is cool, but it is also not conscious or self aware and mathem…
ytc_Ugxq7JSuY…
G
AI is going to end mass communication. What is the point of taking a phone call …
rdc_mth1rcu
Comment
@greenaum It's not a "popular" explaination it is literally the truth. A language model is a function with a set of parameters which are optimized to minimize cross entropy between output log probabilities and the correct next token assumed at probability 1.0.
It turns out that to predict tokens well, you develop "few shot learning" capabilites, as in learning that goes beyond the first order optimization algorithm used to train the parameters, but actually use the current context as state to "learn new skills" (that turned out to be false actually). This was always loosely defined ever since the GPT2 paper how "powerful" this fewshot learning actually is, but it turns out that it is neither meta learning as many suggested nor applying a set of algorithms learned during pretraining encoded in the parameters. It is quite a bit weaker than many people dream it up to be.
There has been a great outcry whenever people downplay what language models actually do because of the hype surounding it, but I have to admit that we have been fooled. It was always doing the same thing as the small models, just on a bigger scale. But the shift in quality was so profound, people dreamt up ridiculous explainations.
youtube
AI Moral Status
2024-07-26T16:0…
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_Ugwf-hZ3xtBw41T76rd4AaABAg.A6L6xfmya2kA6LMEOheRPV","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytr_UgxnduCsu3QdGtnXbsN4AaABAg.A6Ky2kEN2K0A6MKVdw9dfj","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxnduCsu3QdGtnXbsN4AaABAg.A6Ky2kEN2K0A6MK_fksTeo","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxnduCsu3QdGtnXbsN4AaABAg.A6Ky2kEN2K0A6MaNuhcPmj","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwrPo8H_c5fit-zQqd4AaABAg.A6Kr4cxoiZ4A6PN_TRDK7u","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgxQGeuz6AD6dejQDhN4AaABAg.A6Kph7BerT3A6NJFqfqmoY","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgzXwsBi2X-BWRsM6eF4AaABAg.A6KnXnF_sAKA6MQUjPWiEv","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytr_UgzXwsBi2X-BWRsM6eF4AaABAg.A6KnXnF_sAKA6NEfvNcS5Z","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgzXwsBi2X-BWRsM6eF4AaABAg.A6KnXnF_sAKA6OoFkzB3dL","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwQz3dbY6YCNJjYRzF4AaABAg.A6KlnDe7hmNA6LLVk9ORmD","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]