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G that's not my biggest issue with tesla, I think it's way worse to put their car … ytc_UgwQmK4o0… G And will you harm a human ? . As i do not trust AI at all.… ytc_UgyjUaNvO… G honestly, ai art has always been super uncanny to me, too perfect. art is inhere… ytc_UgzRvS5yE… G > An easy example would be with an algorithm designed to identify the best co… rdc_e7jb51r G this robot has more being a human than most and that's more mucked up then this … ytc_Ugx2rgfaM… G It seems to me that this guy is just dressing ridiculously in purpose. So u don… ytc_Ugyt91QW5… G HEADLINES " AI BOT told kids to shoot a school" " AI told the taliban to bomb Am… ytc_Ugw2iJ7GZ… G "But practically all general purpose technologies improve themselves" Is he bei… ytc_UgzzS_y5p…

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"}
]

Raw LLM Responses