and throws them in the salad bowl and then you go like this in the salad bowl and you put the salad in front of somebody. that s what happens with these things, because they chop up the facts into pieces and then they conflate things together because they don t know any better. vint thinks that we might be able to protect ourselves from chatbots that don t know fact from fiction by taking a leaf from the way that self driving cars are graded depending on how autonomous they really are. at the lowest level level zero the car doesn t do anything for you, you have to do everything. at level one you may get some warnings for example, don t change the lane right now because there s a car over there and we can sense it because i have a sensor that shows a little light. and then as you work your way up the levels the car takes over more and more responsibility. think about the chatbots as being like self driving cars in a way, and we should think about what level of risk are we taking w
for videos to deceive people. there is also an example of a deepfake of president zelensky, and that was to admit defeat to the russians about a year and a couple of months ago. speaks ukrainian yet it s actually pretty hard for even experts to work out whether a video is real or not. it s a problem that intel claims to have solved by detecting blood under the skin. so we ve come here to check it out. deepfake videos are everywhere now. you have probably already seen them. fortunately, intel is developing several solutions to detect deepfakes in real time. like the one you are seeing right now. because you are not the real ilke demir lam. all right, you got me.
people like jo? to be clear, this is on matches that don t have commentary at the moment. we would love to make all matches available in a more accessible way, and you can see how the intention here is to complement and supplement those commentators that we know and love, rather than replace them. for now, the ai commentary is only being used after the event, for highlights, but ibm has plans to generate commentary in real time. we could also label, or classify, for example, a net approach, a volley, the types of shots. but just how close to that goal are they? so we re actually very close. you know, these models are very big, and, in fact, i m going to tell you a very interesting stat, here, is that, you know, by the time a tennis point is over, i can create commentary in 1 2 seconds. so it s really fast. at the beginning of the project, that was the grand challenge, was to be as fast as possible. and we were looking at the order of 20 10 seconds. will be able to do it in less than a
and you can see how the intention here is to complement and supplement those commentators that we know and love, rather than replace them. for now, the ai commentary is only being used after the event, for highlights, but ibm has plans to generate commentary in real time. we could also label, or classify, for example, a net approach, a volley, the types of shots. but just how close to that goal are they? so we re actually very close. you know, these models are very big, and, in fact, i m going to tell you a very interesting stat, here, is that, you know, by the time a tennis point is over, i can create commentary in 1 2 seconds. so it s really fast. at the beginning of the project, that was the grand challenge, was to be as fast as possible. and we were looking at the order of 20 10 seconds. will be able to do it in less than a second, is that the aim of this? yeah. yeah, yeah, so i think it s achievable, for us to get there. you know, we could horizontally scale out some of our algori
to protect ourselves from chatbots that don t know fact from fiction by taking a leaf from the way that self driving cars are graded depending on how autonomous they really are. at the lowest level level zero the car doesn t do anything for you, you have to do everything. at level one you may get some warnings for example, don t change the lane right now because there s a car over there and we can sense it because i have a sensor that shows a little light. and then as you work your way up the levels the car takes over more and more responsibility. think about the chatbots as being like self driving cars in a way, and we should think about what level of risk are we taking when we use them for something? so if it s used for entertainment there s very little risk. if however you work your way up in application until you get up to somewhere around the top where it s giving you medical advice, or is doing a diagnosis and recommending treatment, that s a super high risk thing, just