Raw LLM Responses

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G You're not paying attention. AI is already viable at a large scale in nearly eve… rdc_jkg5g87 G Look, we've all seen videos of these savant kids who are busting out photorealis… ytc_UgxyOLNy9… G Remember Albert Einstein once said: the si-fi of today is the reality of tomorro… ytc_Ugzhqt826… G The world hacker war  it will control every Robot to kill Humanity  55555 just j… ytc_UgghsB3qu… G Freaking market opportunity. how about we build a community with rules. a templ… rdc_oi3cbfo G 3:06, this methodology seems so flawed. If you only vary one thing between accou… ytc_Ugztqb8C4… G What you said has nothing to do with anything here. These programs do not learn … ytr_UgxW1JP0Y… G AI adoption along with a host of other preexisting social conditions will lead u… ytc_UgzfifHnc…
Comment
A Few questions\thoughts came to mind: How do they keep bias out of their tools and are they open source? Is the possibility of AI in the future being able to assist us with climate change, just as it's predicted to with medicine, entertainment, engineering and so many other fields, is enough to outweigh the short-term sustainability concerns we have now? And finally, she mentioned with LLMs, bigger is better, what about NVidia's model I heard they were working on that fit on a 1.44" floppy disk? Why would this tech trend be any different than previous trends that seem to always go smaller? Even when industries seem to "go bigger," like in aviation, it's really because they got smaller components so that they could get bigger in the first place. Or at least that's my impression. I'm not an expert. Great talk! Loved it!
youtube AI Responsibility 2023-11-15T01:4… ♥ 4
Coding Result
DimensionValue
Responsibilityunclear
Reasoningconsequentialist
Policyunclear
Emotionmixed
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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