Raw LLM Responses
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my company asks that we use it as much as we can for as many different tasks as …
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the biggest issue i have with ai movies, is that they're incoherent, just like s…
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I don't agree. I think there will be more work. People will start to travel to m…
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Imagine pretending you've lost the dust jacket just so she can't use you as a se…
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Humans will find a way to build human communities where ai cannot compete. Human…
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That sounds like a fun idea! While Sophia's expertise is more about wisdom and l…
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I cannot believe this is what you care about! There are women being brutalized i…
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If you anger the AI bros then you've done somthing right.
Thank you Lavender fo…
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Comment
She has some points that there are different kinds of issues in many contexts, but I do question her judgement of scale, impact and risk. Bloom consuming the same energy to train as 30 homes in a year is insignificant. GPT3 consuming the same as 500 homes in a year is also insignificant. If GPT 4 was at 5000 homes and GPT 5 at 50K homes, it would still in the grand scheme of things be very insignificant if you do care about climate change. If those models can accelerate science into green tech with 10-30%, or bring about other large energy efficiency gains, it easily pays for itself. The sum of MWhs to run inference with large models probably passed the training energy consumed this calendar year, so I'd focus more on that if anything. I'm not at all saying climate doesn't matter, but that the current scale of things noted here isn't worth spending a large effort on, and she didn't present numbers for inference, just that it could become very significant.
Social and racial biases of course matter, and should be improved to increase quality and reliability, but I care a lot more more about how this impacts macroeconomics and geopolitics, and what AI is going to do to the nature of work and life over the next 3-10 years.
youtube
AI Responsibility
2023-11-06T23:2…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgzLNVQwMCp2ZTk_k0Z4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxBIHG_gc5UmfaPt4B4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwDI51TsRvKUhjd3bN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzRnlXx1Ew3eNHWtop4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgxEoyDZYaPqsX5oFQt4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyXJxJJ2gmX92GAiiZ4AaABAg","responsibility":"government","reasoning":"mixed","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwknZWxjOyOVOs9Irl4AaABAg","responsibility":"government","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzsGc_jTsnFjIuiRt14AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugy46yDIAXAkLVY9Clh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyqRob3zxYl3zrU2_p4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]