but on a scale never possible before. , ~ , before. there is the ai system like tat gtp, before. there is the ai system like tat gtp, those before. there is the ai system like tat gtp, those are - before. there is the ai system | like tat gtp, those are trained on perfect data but for those systems to be useful, they have to be trained on something like 1000 billion, i to be trained on something like 1000 billion, 1 trillion words, something of that order of magnitude, something that would take on the order of 20,000 years for a human to read, so they require an enormous amount of data, pretty much a third of the internet. the internet. those billions of words can the internet. those billions of words can include the internet. those billions of words can include material. the internet. those billions of. words can include material most people would rather avoid. mr; people would rather avoid. my concern people would rather avoid. ij i concern is people would rather avoid. m:
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never possible before. there is the ai system - like the chatgpts of the world. those are trained on public data. i but for those systems to be useful, i they have to be trained on something like a thousand billion. ..you know, a trillion words, something of that order- of magnitude. something that would take on the order of 20,000 . years for a human to read. so, they require an- enormous amount of data. it s pretty much a third of the internet. - those billions of words can include material most people would rather avoid. my concern is that the current emphasis on scale in artificial intelligence which is to say creating enormous training data sets of content insufficient attention has been given to what s in them. in many cases, it is just garbage in and garbage out. if you are harvesting the entire internet, you will have so many horrifying
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