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Genetic doppelgängers? Identical twins separated apart can be very much alike or very different Here s why

Transcripts for BBCNEWS Beyond Human 20240604 14:38:00

in many cases, it is just garbage in and garbage out. if you are harvesting the entire internet, you will have so many horrifying things included in there. 50, part of this really gets to the core production ethos of how al s made, which is, collect it all and figure it out later. if machines are learning from what s on the internet, material that s harmful needs to be filtered out, and much of that work still needs the scrutiny and judgment of humans. well, there are certainly countries where this type of outsourced labour is most commonly located. china, malaysia, kenya are some examples. but, indeed, it s a growing market for people to be, really, doing this extremely difficult, extremely traumatising work. so, in a sense, you know, it maps to a global north global south

Transcripts for BBCNEWS Beyond Human 20240604 20:37:00

there is the ai system like the chatgpts of the world. those are trained on public data. but for those systems to be useful, 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 isjust garbage in and garbage out. if you are harvesting the entire internet, you will have so many horrifying things included in there. so, part of this really gets to the core production

Transcripts for BBCNEWS BBC News 20240604 01:29:00

voice-over: this is bbc news. we ll have the headlines for you at the top of the hour, which is straight after this programme. much smarter machines are getting much smarter. there is no reason getting much smarter. there is no reason that getting much smarter. there is no reason that this getting much smarter. there is no reason that this cannot - getting much smarter. there is no reason that this cannot be l no reason that this cannot be as capable as a biological brain. ~ brain. where will the artificial brain. where will the artificial intelligence | artificial intelligence revolution take us? ., ., revolution take us? now we are thinkin: revolution take us? now we are thinking about revolution take us? now we are thinking about building - revolution take us? now we are thinking about building tools . thinking about building tools that will be very very powerful and very dangerous on their own. , and very dangerous on their own. ~ , .., own. are we being careful enou:h

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