Revolution is changing that. You have warned me not to get too close. It does look a little bit hazardous. This robot dog hasnt been programmed to walk. Its learning by itself. Its called reinforcement learning. What weve done here is, weve given it this task to try to kind of stand up and move forward. When it does well, one of the Computer Scientists gives it the digital equivalent of a pat on the head. I can see its doing better and better. Its strong. I try and put that in its way, and its stronger than i am. Yeah. Have you trained it to make a beeline for me . Uhhuh. I feel like im battling the ai here, and the als winning. In just a few hours, its moving around by itself, even coping with the unexpected. Im really feeling an instinct to help it, but that is, of course, not good. You know, its learning, and maybe it looks a bit mean sometimes when we push it around, but, really, werejust trying to see what it can handle and help it learn new behaviours. This robot dog is the brain
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
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
Gets to you, the core production ethos of how ai is made, which is collect it all and figure it out later. iii and figure it out later. if machines are learning from what is on the internet, material thatis is on the internet, material that is harmful needs to be filtered out, and much of that work still needs the scrutiny and judgement of humans. and udgement of humans. there are and judgement of humans. there are certainly and judgement of humans. there are certainly countries and judgement of humans. there are certainly countries where - are certainly countries where this type of outsourced labour is most commonly located, china, malaysia, kenya, some examples but indeed it is a growing market for people to be really doing this extremely difficult, extremely traumatising work, so in a sense, it maps to a global north, globalsales sense, it maps to a global north, global sales dynamic of extraction and exploitation of labour for these systems. this.
Things included in there. so, 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 dynamic of extraction and exploitation of labour for these systems.