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G It is going to take tens of millions of people to develop, deploy, and to overse… ytc_UgyriAIVm… G What's the difference between AI-created art and photography? A photographer doe… ytc_Ugy03jPPz… G there will never be a time where all human labor will be replaced. Governments w… ytc_UgxzwKzMT… G These AI generated scammers have some nerve doing this. I remember the fight bet… ytc_UgwDftTM3… G I don't really get why people call them "AI Artists." They put in a prompt and s… ytc_UgyFjEC3F… G everytime i see one of these videos i just think “the ai is going to see this vi… ytc_Ugyt8XYqu… G What happens when AI takes over everyones job? The public will toss the checker … ytc_Ugw2ZW6_p… G 0:00 - 0:05 pedestrian walking in the road from very dark area, the woman didn't… ytc_UgwRr4JA8…
Comment
The "garbage in garbage out" quote, is now nothing more than an outdated talking-point, at least as far as it's being used by skeptics now, to make people feel comfortable. It applied more to older neural network models, than what we have today. The intelligence and reasoning capabilities of these latest AIs, is rapidly improving these days, as researchers figure out new ways to prompt, implement, and configure how they're setup and used. Many of the previously observed inaccuracies and hallucinations, can be significantly mitigated through better prompting phrases, and more importantly, self-checking input-output loop-backs or multiple copies of the AI checking itself, before having the AI actually respond. Essentially they gave it the ability to 'think before it speaks', and that not only makes it more factually and mathematically accurate, it also gives it greater reasoning skills to work through problems it's never seen before. These methods are also what enables Khan Academy's new AI tutor to work as well as it does. So the idea that it "only regurgitates what it's told" is simply no longer accurate.
youtube AI Governance 2023-05-10T04:5… ♥ 2
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionapproval
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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