But how good is it really . I think fake. That but how good is it really . I think fake. That is but how good is it really . I think fake. That is actually| think fake. That is actually real. Think fake. That is actually real and think fake. That is actually real. And joe think fake. That is actually real. And joe investors think fake. That is actually| real. And joe investors the real. And joe investors the darker side image creation. Darker side image creation. Investigates. This month fans all over the world were glued to coverage of the wimbledon tennis tournament. It to coverage of the wimbledon tennis tournament. Tennis tournament. It was televised tennis tournament. It was televised for tennis tournament. It was televised for the tennis tournament. It was televised for the first tennis tournament. It was| televised for the first time tennis tournament. It was i televised for the first time in 1937 when fred perrys run of wins was ended by the american don budge. Wins was ended by the american don budge don budge. Since then the bbc and broadcasters don budge. Since then the bbc and broadcasters around don budge. Since then the bbc and broadcasters around the i and broadcasters around the world have provided Expert Commentary on all of the action. Well, actually, not quite all of it. Quite all of it. Covering of the outlying quite all of it. Covering of the outlying cords quite all of it. Covering of the outlying cords has i quite all of it. Covering of i the outlying cords has remained somewhat silent, but they could be about to change thanks to Artificial Intelligence as Shiona Mccallum has been finding out. Shiona mccallum has been finding out. What was it like as a player finding out. What was it like as a Player Walking as a Player Walking out on centre court . It as a Player Walking out on centre court . As a Player Walking out on centre court . It is ust the most Fantastic I Centre Court . It isjust the most fantastic feeling. In | most fantastic feeling. In front of this crowd, touring year 1 and front of this crowd, Touring Year1 and that thrill and bit of fear as well, but all mixed in and there is nothing like it, itsjust in and there is nothing like it, its just wonderful. In and there is nothing like it, itsjust wonderful. She it, its ust wonderful. She was it, itsjust wonderful. She was britains it, itsjust wonderful. She was britains number i it, itsjust wonderful. She was britains number one | it, itsjust wonderful. She was britains number one in the 19805. Was britains number one in the 1980s. Like other players and fans who knows what a magical place wimbledon is. Nothing beats the atmosphere here on centre court in the sunshine in wimbledon. It is epic. But not everyone can make it to south west london. For a lot of us that means watching on television, mobile or computer. Not all of which will have commentary. The All England Club has been working with its it partner ibm to fix this for the wimbledon website and app. Neglects masses of data from all around the courts for its ai platform called watson x. We take the ai platform called watson x. Take the information fitted into the model which then takes text, turns it into numbers, tasty numbers and compresses it, expanded, then outputs tests again, which can then be spoken as an Ai Commentary. fiend spoken as an Ai Commentary. And this is what spoken as an Ai Commentary. And this is what it spoken as an Ai Commentary. And this is what it sounds like. Iga swiatek, ranked first. Both male and female sounding commentators are featuring the app. Commentators are featuring the a. ~. ,. , app. Murray, from the united kingdom. App. Murray, from the united kingdom, will app. Murray, from the united kingdom, will play app. Murray, from the united kingdom, will play tsitsipas. | kingdom, will play tsitsipas. It was the boys are Computer Generated which is why they lack, how can we put it, they lack, how can we put it, the human touch. The human touch. What a fantastic the human touch. What a fantastic place the human touch. What a fantastic place to the human touch. What a fantastic place to do i the human touch. What a fantastic place to do an l fantastic place to do an interview. It is amazing, right on centre court, sons out. Ia on centre court, sons out. 10 has on centre court, sons out. Jo has been commentating since she gave up playing. You has been commentating since she gave lip playing gave up playing. You need to be short and sharp gave up playing. You need to be short and sharp sometimes i gave up playing. You need to be short and sharp sometimes with i short and sharp sometimes with what you are saying. And you get a feel of what is happening. Sometimes you dont need to say anything because the crowd have gone mad and you want to feel that and see the players. So let it go. Other times, maybe when it is flagging a bit, it is time to fill in a bit from behind the scenes. So i think you very much have two have that feel of when to talk and when not. So is thisjust the when to talk and when not. So is this just the start of Computer Generated commentary replacing people likejo durie . This is on matches that dont 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. It has plans to generate commentary in realtime. It is a net approach. Commentary in realtime. It is a net approach, diwali, commentary in real time. It 3 a net approach, diwali, the types of shots. A net approach, diwali, the types of shots. A net approach, diwali, the types of shots. But how close to the types of shots. But how close to the goal types of shots. But how close to the goal of types of shots. But how close to the goal of a . Types of shots. But how close to the goal of a . We types of shots. But how close to the goal of a . We are i types of shots. But how close to the goal of a . We are very i to the goal of a . We are very close. These to the goal of a . We are very close. These models to the goal of a . We are very close. These models are i to the goal of a . We are veryj close. These models are very big. I will tell you a very interesting statistic. By the time, you know, attempts point is over, i can create commentary in 1 2 seconds. It is really fast. At the beginning of the project, that was the grand challenge, to be as fast as possible, and we were at the order of 20 seconds. Were at the order of 20 seconds were at the order of 20 seconds. ~ ,. ,. ,. , seconds. Will be able to do it in less than seconds. Will be able to do it in less than a seconds. Will be able to do it in less than a second, seconds. Will be able to do it in less than a second, is i seconds. Will be able to do it in less than a second, is that| in less than a second, is that the aim of this . The aim of this . Gas, so i think it the aim of this . Gas, so i think it is the aim of this . Gas, so i think it is achievable, i the aim of this . Gas, so i think it is achievable, for| the aim of this . Gas, so i i think it is achievable, for us to get there. We could hose skill at some of our algorithms. Yes, so. We could make a Data Collection faster as well. 50 could make a Data Collection faster as well. Faster as well. So when my eo le faster as well. So when my people be faster as well. So when my people be watching faster as well. So when my people be watching live i faster as well. So when my | people be watching live and getting real time Ai Commentary . It getting realtime Ai Commentary . Getting realtime Ai Commentary . Getting realtime ai commenta . , commentary . It will be sooner than any of commentary . It will be sooner than any of us commentary . It will be sooner than any of us could commentary . It will be sooner than any of us could really i than any of us could really imagine. But it only roll around to next years tournament i think you will really enjoy what you see. Really enoy what you see. When ou see really enjoy what you see. When you see this really enjoy what you see. When you see this technology really enjoy what you see. When you see this Technology Moving | you see this Technology Moving in the future and do you think it will be on real time matches, for example, next year . I matches, for example, next ear . � matches, for example, next ear . , year . I cant give you any commitments year . I cant give you any commitments but year . I cant give you any commitments but i i year . I cant give you any commitments but i can. Year . I cant give you any i commitments but i can say what we are going to be doing is innovating and inventing new experiences which ab we havent even imagined yet. {lilia experiences which ab we havent even imagined yet. Experiences which ab we havent even imagined yet. Ok, but what do the professionals even imagined yet. Ok, but what do the professionals think . I do the professionals think . Well, now were going somewhere where it is a bit scary, i think. For me, for my mind, cant quite understand how an ai would get the feel of the situation. There might be certain things that happen in a match that you can say they missed this or that, but what about the reaction of everything because . What about the reaction of the player . What has just happened because they to get my head around this, i am just not sure. And will i be out of a job soon . I dont know. Will i be out of a ob soon . I dont know. Will i be out of a ob soon . I dontknow. � ~ , � , dont know. Ibm says jo duries ob dont know. Ibm says jo duries 0b is dont know. Ibm says jo duries job is safe dont know. Ibm says jo duries job is safe for dont know. Ibm says jo duries job is safe for now. Dont know. Ibm says jo duries job is safe for now. But dont know. Ibm says jo duries job is safe for now. But five, i job is safe for now. But five, ten years from now, well, but as a whole different ballgame. That was shiona and i know we are a week on now but i am still reeling from both of those wimbledon singles finals. To be honest, i think, right now, i would to be honest, i think, right now, iwould rather to be honest, i think, right now, i would rather hear a given commentator attached to those amazing shots. That was amazing tennis. Those amazing shots. That was amazing tennis. Yes, and aside from some amazing tennis. Yes, and aside from some of amazing tennis. Yes, and aside from some of the amazing tennis. Yes, and aside from some of the amazing i from some of the amazing opportunity that al brings us, it can also have a dockside. You may find this next piece hard to watch, but it does show the reality of what is happening in the world of ai image generation. Jae happening in the world of ai image generation. Happening in the world of ai image generation. Joe tidy has been investigating image generation. Joe tidy has been investigating the image generation. Joe tidy has been investigating the story i been investigating the story and is part of it he has been shown redacted versions of some of these images. You wont see them here, butjust to repeat you might find the next film upsetting. Joe tidy. You might find the next film upsetting. Joe tidy. These da s upsetting. Joe tidy. These days anyone upsetting. Joe tidy. These days anyone with upsetting. Joe tidy. These days anyone with a upsetting. Joe tidy. These days anyone with a laptop i upsetting. Joe tidy. These | days anyone with a laptop can be an artist. With days anyone with a laptop can be an artist. With al and an idea, these sky is the limit. And online galleries and forums are exploding with creations. By are exploding with creations. By typing and words you can create any image that you like, so, for example, a Cat Holding A Banana in the style of van gough, lets try that. The only real limit is your imagination, but there is your imagination, but there is your imagination, but there is your imagination, but there are safeguards in place. Van gogh. Many of these tools have bad words or phrases to stop people creating illegal or offensive imagery, but we now know that hasnt really worked. There are only three organisations in the whole world who are licensed to actively search for child sexual abuse material. And this is one of them, the Internet Watch Foundation here in cambridge. Its highly secured facility, the iwf fines, reversed, and log some of the most abhorrent photos and videos are measurable. They see a flood of images made with Artificial Intelligence. And we are the first people out of the charity to c redacted versions of some of the images being shared by predators. The first imate i shared by predators. The first image i want shared by predators. The first image i want to shared by predators. The first image i want to show shared by predators. The first image i want to show you i shared by predators. The first image i want to show you is l image i want to show you is more of a cartoon style of image of a girl on the beach. I would say she is about 3 6 years old. It would say she is about 36 years old years old. It is really realistic. Years old. It is really realistic. Is years old. It is really realistic. Is quite i years old. It is really i realistic. Is quite realistic. If i saw that i would think it was a photoshop damage. This location is was a photoshop damage. This location is a was a photoshop damage. Try 3 location is a bedroom and that is quite classic of real images that we see of children posed in the bedroom. D0 that we see of children posed in the bedroom. That we see of children posed in the bedroom. Do you see that e of in the bedroom. Do you see that type of image in the bedroom. Do you see that type of image. Yes. In the bedroom. Do you see that type of image. Yes. Children i type of image. Yes. Children that young . Type of image. Yes. Children that young . Yes. Type of image. Yes. Children that young . Yes. It type of image. Yes. Children that young . Yes. It is type of image. Yes. Children that young . Yes. It is a i that young . Yes. It is a horrible that young . Yes. It is a horrible image. I that young . Yes. It is a horrible image. Yes. | that young . Yes. It is a horrible image. Yes. Children that young . Horrible image. Yes. Children that young . Yes. Horrible image. Yes. Children that young . Yes. It horrible image. Yes. Children that young . Yes. It is horrible image. Yes. Children that young . Yes. It is a that young . Yes. It is a horrible that young . Yes. It is a horrible image, that young . Yes. It is a horrible image, the i that young . Yes. It is a | horrible image, the idea that young . Yes. It is a i horrible image, the idea of what she is doing here. I. Hard to see, actually. It what she is doing here. I. Hard to see, actually. Hard to see, actually. It is difficult. Hard to see, actually. It is difficult, absolutely. I hard to see, actually. It is| difficult, absolutely. Sorry. Sorry about difficult, absolutely. Sorry. Sorry about that. Difficult, absolutely. Sorry. Sorry about that. Ive i difficult, absolutely. Sorry. | sorry about that. Ive never experienced anything like that, and its a shock. And its a shock. Absolutely. And there and its a shock. Absolutely. And there is and its a shock. Absolutely. And there is no and its a shock. Absolutely. And there is no need and its a shock. Absolutely. And there is no need to i and its a shock. Absolutely. And there is no need to be i and there is no need to be sorry because these images are shocking. Sorry because these images are shockina. , sorry because these images are shockina. ,. ,. , shocking. Last month for the first time shocking. Last month for the first time the shocking. Last month for the first time the m shocking. Last month for the first time the iw have shocking. Last month for the | first time the iw have studied actively logging reports of ai images. Analysts discovered galleries are multiple websites, some containing category a material, the most graphic possible. Iwf. Stable diffusion is the most popular open source image generator, that has been repurposed and repackaged by countless businesses, giving microsoft another is a run for their money in popularity and power. But Stable Diffusion doesnt have a Silicon Valley start up origin story. It started here in a leafy Downtown Corner of munich. And the way it was launched and created was completely unique to any of the other ai image generators. To any of the other ai image generators generators. We are all now really looking generators. We are all now really looking over generators. We are all now really looking over the i really looking over the shoulder of a Development Process which is super rapid. Professor bjorn was the lead scientist on the Stable Diffusion project. He and his team did their best to remove pornographic content from the pornographic content from the pornographic images of the ai pornographic images of the al was trained on, but he admits it wasnt perfect. They also coded in a list of hundreds of bad words and phrases, but of course people quickly found a way to delete them. He defends their decision, though, to unleash his model onto the internet is open source. The Dancers Internet is open source. The dangers that internet is open source. The dangers that you internet is open source. Tue dangers that you betrayed internet is open source. Tte dangers that you betrayed with open source, yes, isee overall, like, there is potential and generative ai, it is a powerful technology and powerful can be misused, but closed source has not proven to be the way that would actually do this mitigation for us, because it has been either leaked or more importantlyjust been re implemented. But leaked or more importantly ust been re implemented. But you must accept been re implemented. But you must accept that been re implemented. But you must accept that by been re implemented. But you must accept that by making i must accept that by making yours open source, you have made it easier, very, very easy for people to download it and do whatever they want with it. Of course. We made it easier and that is what we did, first offer losing it to the research community. That was something that was important to me, that the models were released to the research community. We need to face the fact that this is a worldwide, global development, so us stopping it here would not stop the development of this technology. Bit not stop the development of this technology. This technology. All of the verse style this technology. All of the verse Style Technology i this technology. All of the verse Style Technology is l this technology. All of the i verse Style Technology is built from verse Style Technology is built from the verse Style Technology is built from the ground up on our platform. From the ground up on our platform platform. The founder of stability. Ai platform. The founder of stability. Ai to platform. The founder of stability. Ai to help i platform. The founder of stability. Ai to help fund i platform. The founder of i stability. Ai to help fund the research. He declined to do an interview but had previously said they prohibit the use of its said they prohibit the use of its ai said they prohibit the use of its ai for illegal or immoral purposes. But stability. Ai has no control over what others do with the source code. As regulators begin to plan potential legislation for al companies and products, it feels like in some cases the cat might already be out of the bag. Tt cat might already be out of the bat. ,. , � , cat might already be out of the bat. ,. Cat might already be out of the bat ,. , i ,. , . ,y bag. If youve been affected by issues raised bag. If youve been affected by issues raised in bag. If youve been affected by issues raised in this bag. If youve been affected by issues raised in this story, i issues raised in this story, details and support are available at bbc. Co. Uk actionline. Available at bbc. Co. Uk actionline. A, bbc. Co. Uk actionline. Time for a look at bbc. Co. Uk actionline. Time for a look at this bbc. Co. Uk actionline. Time for a look at this weeks bbc. Co. Uk actionline. Time for a look at this weeks tech a look at this weeks tech news. The production of teslas cyber track has begun. The Electric Car Maker tweeted a picture of its first built truck at its giga factory in austin, texas. It was first revealed in 2019 but elon musk blamed Battery Supply issues for the delay in production. United Nations Security Council has held its first meeting to discuss the risks and benefits of Artificial Intelligence. The 15 Member Council heard from two ai experts who said that the world must come together to prevent the misuse of the technology. Prevent the misuse of the Technology Prevent the misuse of the technology. The overarching coal of technology. The overarching goal of this technology. The overarching goal of this body technology. The overarching goal of this body would technology. The overarching goal of this body would be l technology. The overarching| goal of this body would be to support countries to maximise the benefits of ai good to mitigate the existing and potential risks, and to establish and administer internationally agreed mechanisms of monitoring and governing. Mechanisms of monitoring and governing governing. Good news for playstation governing. Good news for playstation owners governing. Good news for playstation owners as governing. Good news for playstation owners as it | governing. Good news for. Playstation owners as it was announced at call of duty will stay on the sony system after a deal was made with microsoft. Call of duty. Ajudge in the us reject calls from microsoft taking over activision blizzard. And tiktok has signed a deal with warner music, the first of its Kind Agreement will give artists more opportunities to grow their platform and connect with its fan base. Tiktok says further development with the deal will be announced in the coming months. The internet is the backbone that underpins so much of our lives these days. And although many people have been part of its development, these two are generally considered its fathers. Vint cerf and robert khan developed the method by which data travels around the internet. ,. , , internet. The Internet Story is now 50 years internet. The Internet Story is now 50 years old internet. The Internet Story is now 50 years old and internet. The Internet Story is now 50 years old and had now 50 years old and had started in 1973 and its roots go back into the late 1960s. We to be expandable, and i am very pleased to see how this thing has scaled up by probably six orseven has scaled up by probably six or seven orders of magnitude from the time that we started working on it todays current internet. And there is still plenty of work to go. These da s he plenty of work to go. These days he works plenty of work to go. These days he works for plenty of work to go. These days he works for google i plenty of work to go. These i days he works for google and plenty of work to go. These days he works for google and he is still watching and working on new networking technologies. And i asked him for his take on the latest iteration of Artificial Intelligence, especially the chat bots that sound so human in their writing but not in their fact checking. The scale is astonishing. The verisimilitude of intelligence is striking, and the reason that it is striking, and the reason thatitis is striking, and the reason that it is so misleading i think is that what gets produced is persuasive because it is glib almost, it certainly passes correctly, and because it looks well done, we assume that it must have significance, that it must have significance, that it must have significance, that it must have weight. So i did a test with one of these chat bots, i asked it to write an obituary for me, i figured that the forum had been ingested and there were facts on the net about me that it could use. What i did was take facts about other people what he did was take facts about other people and conflate them with me. And the reason for that is some of those facts were mentioned in the same text as references to me. So it is almost as if. There is this appliance called a Salad Shooter. It is a thing that jumps up vegetables, and sprays them into the salad bowl, like carrots and lettuces and so on, salary. So i want you to imagine that the vegetables are facts. And you stick them in the Salad Shooter and it took them all up into little pieces and throw them in the salad bowl and then you go like this in the salad bowl and you put the salad in front of somebody. Thats what happens with these things, because they chop up the facts into pieces and then they conflate things together because they dont know any better. a better. Vint cerf thinks we miaht better. Vint cerf thinks we might be better. Vint cerf thinks we might be able better. Vint cerf thinks we might be able to better. Vint cerf thinks we might be able to protect i might be able to protect ourselves from chat bots that dont know fact from fiction by taking a leaf from the way Self Driving Cars are graded, depending on how autonomous they really are. Psi depending on how autonomous they really are. They really are. At the lowest level, level they really are. At the lowest level, levelzero, they really are. At the lowest level, level zero, the they really are. At the lowest level, level zero, the car level, level zero, the car doesnt do anything for you, you have to do everything. At level one you may get some mornings for example, dont change the lane right now because there is a car 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 are the car takes over more and more responsibility. Think about the chat bots 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 is for entertainment there is very little risk. If however you work your way up into application until you get up to somewhere around the top where it is giving you medical advice or is doing a diagnosis and recommending treatment, that is a super high risk thing is like a super high risk thing is like a self driving car, so any chat bots deserve a risk rating depending on the application for which they are being used. Vint, thanks for giving up so much of your time, its been a pleasure. Much of your time, its been a pleasure pleasure. Welll certainly enjoyed pleasure. Welll certainly enjoyed the pleasure. Welll certainly enjoyed the chat. Pleasure. Welll certainly enjoyed the chat. You. Pleasure. Well i certainly| enjoyed the chat. You will blame me enjoyed the chat. You will blame me for enjoyed the chat. You will blame me for interfering l enjoyed the chat. You will. Blame me for interfering with your blame me for interfering with your democracy. It� s blame me for interfering with your democracy. Your democracy. Its not hard for democracy your democracy. Its not hard for democracy to your democracy. Its not hard for democracy to collapse. I for democracy to collapse. These for democracy to collapse. These days for democracy to collapse. These days it for democracy to collapse. These days it is for democracy to collapse. These days it is not for democracy to collapse. These days it is not totallyj these days it is not totally clear what to believe and what not to. These videos are fake. Lies have been around for thousands of years. Deepfakes i knew but they are just lies in a slightly other form. Ground control laws a slightly other form. Ground control laws have a slightly other form. Ground control laws have a a slightly other form. Ground control laws have a risk a slightly other form. Ground control laws have a risk of. Control laws have a risk of non compliance. Control laws have a risk of noncompliance. Deepfakes are becomin noncompliance. Deepfakes are becoming increasingly noncompliance. Deepfakes are becoming increasingly easy noncompliance. Deepfakes are becoming increasingly easy to i becoming increasingly easy to make and hard to detect, and thatis make and hard to detect, and that is mainly because of advancesin that is mainly because of advances in generative ai. In theory anyone with a computer and the internet can make a deepfake. And the internet can make a deepfake deepfake. There is this potential deepfake. There is this potential for deepfake. There is this potential for videos deepfake. There is this potential for videos to | deepfake. There is this potential 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 couple of months ago. Speaks ukrainian. Yet couple of months ago. Speaks ukrainian. Yet it couple of months ago. Speaks ukrainian. Yet it is couple of months ago. Speaks ukrainian. Yet it is actually | ukrainian. Yet it is actually pretty hard for experts to work out whether video is real or not. It is a problem intel claims to have sulphide affecting blood under the skin. So we have come to check it out. Claims to have solved. 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 this is not the real person, i am. All right, you got me. The real person, i am. All right, you got me. The Real Life Ilke agreed right, you got me. The Real Life Ilke agreed to right, you got me. The Real Life Ilke agreed to sit right, you got me. The Real Life Ilke agreed to sit down| life ilke agreed to sit down with the bbc and explain the unusual way it works. If you only try to find the wrong things, sometimes they can be fixed and you cannot any longer find the wrong things. So fixed and you cannot any longer find the wrong things. Find the wrong things. So we ask what is find the wrong things. So we ask what is real find the wrong things. So we ask what is real about ask what is real about authentic videos, what is real and ask. So we look at that question in the sense of looking at your heart. When your heart pumps blood our veins are changing colour and that colour changes called photolithography. Ppg for short. We develop deep learning approach to classify into factorial vehicles. It looks for minuscule factorial vehicles. It looks for minuscule signs factorial vehicles. It looks for minuscule signs of for minuscule signs of blood flow in your face, which are deepfake would not have. It also analyses for Authentic Eye Movements. Also analyses for Authentic Eye Movements also analyses for Authentic Eye Movements. ,. ,. , movements. Normally when humans look at a point. Movements. Normally when humans look at a point, when movements. Normally when humans look at a point, when i movements. Normally when humans look at a point, when i look movements. Normally when humans look at a point, when i look at look at a point, when i look at you, if i am shooting rays from my eyes it is actually converging on you. But for deepfakes it is like googly eyes, they are everywhere. Intel claims the system is 96 accurate and can work on all kinds of deepfakes. So we decided to give it a go with deepfakes generated by mit. I have the answers on my phone. 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What does fake capture say . Traditionalist. What does fake capture say . It traditionalist. What does fake capture say . It says traditionalist. What does fake capture say . It says 6696 capture say . It says 6696 accuracy capture say . It says 6696 accuracy. This capture say . It says 6696 accuracy. This is capture say . It says 6696 accuracy. This is fake. I capture say . It says 6696 l accuracy. This is fake. Yay next one accuracy. This is fake. Yay next one. I accuracy. This is fake. Yay next one. I am accuracy. This is fake. Yay next one. I am enjoying i accuracy. This is fake. Yay i next one. I am enjoying this, are you next one. I am enjoying this, are you enjoying this . The are you enoying this . The s stem are you enjoying this . The system was are you enjoying this . The system was good are you enjoying this . The system was good at are you enjoying this . Tue system was good at Finding Fakes but not so good at working out video was real. I will be working with the leaders of congress now, today. Yeah, 0k. Leaders of congress now, today. Yeah, ok. I leaders of congress now, today. Yeah, 0k. Ithink leaders of congress now, today. Yeah, ok. I think fake. Leaders of congress now, today. Yeah, 0k. Ithink fake. Yeah, 0k. Ithink fake. What is it again . Yeah, 0k. Ithink fake. What is it again . That yeah, 0k. Ithink fake. What is it again . That is yeah, 0k. Ithink fake. What is it again . That is actually it again . That is actually real. Thats a real one. That means that real. Thats a real one. That means that ppg real. Thats a real one. That means that ppg are real. Thats a real one. That means that ppg are broken | real. Thats a real one. That i means that ppg are broken at some point. 0k. Some point. 0k. Here is a problem some point. 0k. Here is a problem with some point. 0k. Here is a problem with the some point. 0k. Here is a problem with the system. J some point. 0k. Here is a l problem with the system. It doesnt analyse for audio, yet. So often videos that seemed fairly obviously real was still labelled as fake. Fairly obviously real was still labelled as fake. And pay for the things labelled as fake. And pay for the things we labelled as fake. And pay for the things we all labelled as fake. And pay for. The things we all acknowledge will brodie country. The things we all acknowledge will brodie country. Will brodie country. Real. That one will brodie country. Real. That one is will brodie country. Real. That one is real. Will brodie country. Real. That one is real. I will brodie country. Real. That one is real. I thoughtl will brodie country. Real. I that one is real. I thought so too. That one is real. I thought so too just that one is real. I thought so too. Just thinking, that one is real. I thought so too. Just thinking, i that one is real. I thought so too. Just thinking, i guess i too. Just thinking, i guess they worry too. Just thinking, i guess they worry would too. Just thinking, i guess they worry would be i too. Just thinking, i guess they worry would be that. Too. Just thinking, i guess| they worry would be that if too. Just thinking, i guess i they worry would be that if it is in real time, you Say Something is fake and it is actually real, you could be the one spreading fake news. Yeah, that is true. One spreading fake news. Yeah, that is true, but one spreading fake news. Yeah, that is true, but verifying that is true, but verifying something fake versus be careful, this is 50 accuracy may be fake, is like different, weighted differently. Deepfakes are auoin weighted differently. Deepfakes are going to weighted differently. Deepfakes are going to become weighted differently. Deepfakes are going to become more i weighted differently. Deepfakes are going to become more and. Are going to become more and more of a problem. Perhaps fake capture will be part of the mix of tools people used to catch them, but it is still by no means the finished article. I beat china all the time, means the finished article. T beat china all the time, and of course they are mad, they are very, very mad. I course they are mad, they are very, very mad. Course they are mad, they are very, very mad. I dont know about you very, very mad. I dont know about you but very, very mad. I dont know about you but i very, very mad. I dont know about you but i think very, very mad. I dont know about you but i think this i very, very mad. I dont know about you but i think this lastl about you but i think this last year has been a real Inflection Point in the world of technology. Ai has been with us quite long time but it has really made itself known now and it has opened so many cans of worms. And it has opened so many cans of worms of worms. Totally, we really started to of worms. Totally, we really started to see of worms. Totally, we really started to see what of worms. Totally, we really started to see what some i of worms. Totally, we really started to see what some of of worms. Totally, we really i started to see what some of the challenges are. But in identifying them at least we can start to find solutions. So hopefully it wont be long until we can really enjoy the benefits of ai without so many of the problems. Of the problems. True, lets ho e of the problems. True, lets hope so of the problems. True, lets hope so. Thats of the problems. True, lets hope so. Thats all of the problems. True, lets hope so. Thats all we i of the problems. True, lets hope so. Thats all we have| hope so. Thats all we have time for, thank you for watching and we will see you soon. Hello. If youre waiting for a change in the weather, perhaps a change to something warmer and more settled, i think you will be waiting quite some time, and certainly no real change this weekend, in fact staying cool, rather windy, with some heavy rain at times. How much rain will this chart shows how much we are expecting to accumulate over the next couple of days. The wettest places are likely to be northern england, parts of wales, maybe Northern Ireland as well. And the reason, well not particularly summary looking whether chart, an area of low pressure, frontal system putting in from the west and this is going to bring some quite heavy and persistent rain to some of us through the day on saturday, rain moving across Northern Ireland, into parts of northern england, southern scotland, wales, south west of england, some rain getting into the midlands as well. All the while northern Scotland Holding onto some sunshine, albeit with one or two showers. It will turn quite windy down towards the south, particularly around some of the southern and western coasts, gusts of 40 50 mph and temperatures really disappointing for the time of year, 14 19 degrees, maybe 24 the channel islands. As we move through saturday night this area of low pressure moved its way eastwards, but notice this band of cloud and rain left behind across some parts of northern england, Northern Ireland sinking slowly southwards as we go through the day on sunday, to the south of that, sunshine and showers, sunshine and showers to the north of that as well. Temperature is between 16 and 22 degrees at best. So many places below par tempered uis for the time of year and that will change very much into the start the new week, our area of low pressure roles are way eastwards, High Pressure tries to build from the west but this will leave us broadly speaking with a north or north westerly airflow, and that is going to keep anything warm well away from our sure. Could well be some cloud, some rain across the southeast corner as the Weather Front passes through on monday morning, further north and west some sunny spells, scattered showers and those temperatures at best between 16 and 21 degrees. That Weather Front passing through will have to keep a close eye on that as we move out of monday and tuesday, could just spin up an area of low pressure as it moves its way through, uncertainty about where that might happen but it might hold the rain back across some southern parts into tuesday morning. Elsewhere, some spells of sunshine, scattered showers and still this rather cool regime, 16 degrees in aberdeen, 20 for london, the cardiff and plymouth. 0n 20 for london, the cardiff and plymouth. On wednesday after a brief Dryer Interlude it looks like a Nest Weather System is putting in from the west again, this could bring a lot of rain in places, strengthening winds, temperatures around 16 to 20 degrees at best. So what hope of a change in this pattern . Later in the week into next weekend, really, as far as the eye can see, its a procession of Weather Systems pushing in from the atlantic, areas of low pressure, bouts of rain, perhaps some strong winds at times, and broadly speaking, some relatively Cool Conditions with any heat kept well away towards the south of europe. So as we look towards the end of next week and into the following weekend, you can see further rain at times, some Dryer Interlude and temperatures broadly below par for the time of year. Thats all from me, by life. By by. Live from washington, this is bbc news. The Heavy Hitters get ready to take the pitch at the womens world cup. The usa takes on vietnam this hour