Raw LLM Responses
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G
It's an ai, because since when his arm is getting long when hit the Russian robo…
ytc_UgxVQtEtO…
G
Y'all think this is fun or funny but on my opinion I think we should get rid of …
ytc_UgxPXcdDG…
G
But if AI takes over, Sam Altman will become rich... BUT if AI fails... Sam Altm…
ytc_Ugw4gCulH…
G
"An open air prison camp for the Chinese Muslims". Oh how awful. An open air pri…
ytc_Ugy1x3OUf…
G
I'm a small artist, and I honsetly agree.. art is when you take time and effort …
ytc_UgxYx3W4l…
G
@DrVinnieBoombatzDO
"...would anyone put it in control of to warrant that fear…
ytr_UgxvIl8M_…
G
Workday hasn’t even rolled out any AI for their platform yet. Companies can desi…
ytc_Ugzf8p_Uu…
G
Musk will care. Jeff is obviously swallowing the fake news and doesn't follow th…
ytc_UgyGfYd_q…
Comment
Demis framing AGI as a consistency problem rather than just a capability problem is the key insight most people miss. Current LLMs are impressive but inconsistent — gold medal math one moment, counting errors the next. True general intelligence requires architectural changes beyond just scaling transformers. What's particularly relevant is his point about the incremental transition vs step function debate: edge-distributed AI models that run persistently at the source of data may actually accelerate that consistency problem being solved. @edge-41 is working in exactly this direction.
youtube
2026-04-06T21:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzUGy4iLBTkcGkUE914AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxpgUgHIIxpmKt_3o54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgzBd8L5QHxD-rZX_9N4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxAtuqnLcauoseX0EJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwojJ8LoSMquFTqCMN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxSMFLUg-zXdpQl55t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyevvChNwdD8uGqBWN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyRmKCqXQ_IHZhra9J4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz25YVlAhboRUZhXnJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwAnALOn5woNm7c1wd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}
]