Raw LLM Responses
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G
exactly! And in developing and highly corrupt countries like Kenya, unemployment…
ytr_UgwlaFSkB…
G
“Now be a good boy and call the waiter for me” Haha! Yes Domina, at once 😇 OMG! …
ytc_UgwRE6ZvA…
G
The description of Silicon Valley was very important. I happen to know multiple …
ytc_UgyrRoTDI…
G
I don't get why so many people are missing the point here. If one company stops …
rdc_n0jmpow
G
You can ask AI if anything is definitive and it will say no. Just by going off o…
ytc_UgzrAcc1G…
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Okay look I am not an AI guy and most AI art looks rough right now, but I can't …
ytc_Ugzm0VPMk…
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@quixoticvalkyrie Lol no selling fake jordans is only illegal if you try to sell…
ytr_UgwyQalTY…
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In the case where AI enables humans to produce way more value in way less time, …
ytc_UgwZRHCdL…
Comment
Hell Sabine ! I prompted chatgpt to answer to today's transcript : here is his contribution :
Sabine, sharp critique—but three points deserve nuance. First, LLMs are not purely purpose-bound: large transformers already show cross-domain transfer (text→code→vision) through shared latent representations. Second, “interpolation only” is overstated: systems like AlphaFold or recent math-reasoning models show genuine structural generalization beyond their training examples. Third, prompt injection is largely an interface and architecture issue; emerging agent systems separate policy, memory, tools, and execution layers to mitigate it. AGI likely won’t be just LLMs—but they may become the cognitive substrate within broader world-model-based agent architectures. Chatgpt auto
youtube
2026-03-04T09:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgznwGLPmJygeYfPA1F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx5p1jc44zl-WcLPhx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw5zdNyAcrFimL0Qnt4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzKXn51KqUarcSlT4V4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwGmSx3jc6a6U37w9F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz0iv3Y-StBNwTyhIF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy4U-EeifEDIibR0CV4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgwsMTNkDq_TU5spaQx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzSIfPzjHX5MCeKI9R4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_Ugwo0n8FSQq2MmLtI0x4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"}
]