Raw LLM Responses
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G
This is like when Mr Krabs tried to replace Spongebob with a robot only to end u…
ytc_UgwfFaij-…
G
it would be interesting as a follow up, a sequel of that interview, to train an …
ytc_UgwMvFxDy…
G
As someone in graphic design, coding, web development, and UX, this man doesn’t …
ytc_Ugz-2QceZ…
G
Worried when my neighbour starts every sentence with “I asked ChatGPT” and “Chat…
ytc_UgxTy59bW…
G
China is the largest producer of drones 73% of world output. They are able to pr…
ytc_UgybJENTI…
G
Unpopular opinion: Art is in the eye of the beholder. AI art is no more or less …
ytc_UgzBLaO5-…
G
Britain and France have first strike doctrine. I don't think Russia is willing t…
rdc_mcr8md6
G
nothing like will be the same. been an early enthusiast since it was called mac…
ytc_Ugy-oBU0I…
Comment
I find his description of confabulation a bit inaccurate, which is surprising, coming from a cognitive scientist. Confabulation and hallucinations are two different things. In a confabulation, a person makes up a story without awareness, which makes it different than lying. Often it is seen in children or in people with injury to brain areas related to memory. The confabulation typicaly fills gaps where the individual doesn't have access to the right answer or the required memories. What LLMs do is they make up bits of information, sometimes significant items of information, that have never existed. So it's more of a delusion than a confabulation. People who confabulate don't typically invent completely novel information, but just make up a story that seems plausible. In that sense LLMs are very different than people, because people don't provide delusions when they don't have the right answer. And when people are delusional, the delusions are persistent and repetitive, not a new delusions every other day.
youtube
AI Moral Status
2026-03-03T09:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyK1gWQ7_xOOue99Vt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwBz62BYkSr-JiLawN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwwGswr0Yy45ctZLWJ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgzUACuSIQeO2Do8XDt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyHwEq9op-63SYoiqB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwDR-WyfwFkBq7jvkt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugw-A34CTTk9whZX6214AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxzJFqEY9THQ4Z2NyZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxP-xn7w5_Tn0P9dp94AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgyLiMv_W3_1sOK-cfh4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"}
]