Raw LLM Responses
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G
i also agree ai is the BANE OF MY EXISTENCE because it sends fake GOD MESSAGES T…
ytc_UgzSfWJVV…
G
There is a deep space vessel that was full of people, but they are all dead beca…
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G
Ok then what's the point
You mean we should abandon all the development abandon …
ytr_UgzEqulA5…
G
Finally Zapier is stepping up their game and jumping in on the AI Agent train. H…
ytc_UgxAefztN…
G
The only time when ai is okay to use is when it’s used simply as a tool rather t…
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G
It was a cutting memory for me. When I was working on my art pieces and being so…
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G
If an AI is hostile, drones would be a useful platform for it to exert influence…
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G
@arforafro5523 THATS WHAT I THOUGHT! I felt like I was crazy reading the comment…
ytr_Ugyyqlq_r…
Comment
interesting philosophical points and incredibly on the spot given the attacks hitting Anthropic right now. It also has a nice introduction to neural networks, especially convolutional ones. I especially liked the rubber -band metaphore for backpropagation.
However, it misses/skips most recent relevant innovation points from after word2vec in 2013 that Geoffrey Hinton contributed to, but nevertheless ruthlessly extrapolates implications to now. The interview skips 'attention is all you need', the fact that an LLM is not a real-time learner; it is static, the learning is prompt-injection into the conversation history (although what you say can be used as training data for a new incarnation). It talks about agents in a non-explanatory way. It skips prompt and context engineering and pretends everything we see in chat applications is a direct bridge to a real-time learning foundational model. It skips the importance of tools, as if models actually need to calculate. Last but not least, it skips the age of agentic-engineering that we're in now. Static foundational models are at the bottom of all that. Finetunings exist. Philosophical questions and answers are relevant, but the talk has something very superficial, which is a bit disappointing.
youtube
AI Moral Status
2026-03-02T18:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugw_aEXTFogAnQ2YMMd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgytV1pB9MINc2dSpMd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxirK7zMYMdyUSLAzV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzmTc702KrCMa97eUl4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugw0R-e1dSRDU2umLYt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"},
{"id":"ytc_UgxpvyvIn7j1qgSg9Lx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwYnZAcijKqJ6uVF6t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxvGmQ29xS0swi0S2B4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgzlJloebKr_q-5LDah4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugx8t3JtLkyvFanpHgB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]