deep facebook was blinded. in belarus, i don't speak french at all.y listen, and then they can put any infection into their mouths. and people will look, is this our president or not? that is, this thing. greatly affects the world, the relationships of people, here we need to be very careful, we cannot avoid it. in general, a new reality that can change your life. in russia, 2 years ago they even released the world's first deep facebook series. the main role in which was played very convincingly by well-known hollywood stars. of course, they were created by the neural network. fire guys. thank you for such a cool gift! and it was the advertisers of the russian bank who brought the famous character of the cult film to our days. wish have a good day. although artificial intelligence appeared much earlier. after trump’s victory in 2016, one of the scandals concerned big data processing technology, which allegedly helped the businessman win. cnn reported that london-based cambridge analytica received more than $5 million for its services. this structure ,

deep facebook is a realistic substitution of photos, videos or audio materials created using neural networks10 years ago by a student at stanford university. it all started with porn videos, but continued, see for yourself. the first high-profile fake is the drunk speaker of parliament nancy pelosi. by modern standards, the video was made clumsily, although it only took a few minutes to stomp.

deep facebook is a realistic substitution of photos, videos or audio materials created using neural networksthe technology was developed by a student at stanford university 10 years ago. it all started with porn videos and continued, see for yourself. laughter is laughter, but there are things much more serious. deepfakes almost disrupted parliamentary elections in bangladesh. last december , a tub of fake videos spilled over a country of 170 million people. the videos were also created by algorithms. in one thing the politicians were told not to support gas, so as not to anger the united states. in another , the oppositionist lied about his age. in one of these videos, an opposition figure spoke ambiguously about gas, which is predominantly. muslim country, which is largely sympathetic to palestine, would certainly lead to political disaster. moreover, the cost of such a video, according to the financial times , did not exceed $25. the elections still took place, but due to the scandalous videos, turnout was a record low of 41%. fakes were originally born in order to intelligence services,

deep facebook is a realistic substitution of photos, videos or audio materials created using neural networks was developed by a student at stanford university 10 years ago. it all started with porn videos, but continued, see for yourself. the first loud one deputy drunk speaker of parliament, by modern standards, the video was made clumsily, although only 5 years have passed, but it influenced the parliamentarian’s rating, then the joke completely got out of control. laughter and laughter, but there are things much more serious, deepfakes almost disrupted the parliamentary elections in bangladesh. last december , a ton of fake videos spilled over the country of 170 million people. the videos were also created by algorithms. in one, politicians advised not to support the gas so as not to anger the united states, in another, the oppositionist lied about his age. in one of these in the videos, the opposition figure spoke ambiguously. regarding gaza, which in a predominantly muslim country that is largely sympathetic to palestine would certainly lead to political disaster. moreover, the cost of

facebook.ere are already cases when... and a video banking consultation led to the fact that the money floated away, to this type of fraud, we are not quite ready yet, and here it will be necessary - create a whole series of new processes and new technologies, but so far, unfortunately, the success rate here has been 100,000. however, financial institutions are gradually learning to reduce losses and repel attacks by criminals, and according to the regulator, last year russian banks prevented theft of almost 6 trillion rubles, while the share of stolen funds that were returned to clients has almost doubled, this is 380 billion million rubles according to experts, despite the existing problems, the russian banking system remains alone one of the most secure in the world. financial organizations in russia, in principle, have always been among the most secure, and we should say a big thank you for that. the central bank, which is the main regulator in general in the financial sector, and which doe

and it's becoming easy now for somebody to put a deep fake on facebook or any other platform that could for example, depict a candidate being somewhere or doing something that they had never done, which could embarrass them. it's, it's, it's, it's, it's fraud for false information. so they do have a team dedicated to fighting, missing information, especially when it comes to elections, but it's a slippery slope as well because they also want to avoid being accused of censorship. so they get it from both sides here in the united states. they're going to hear some people complaining that are over moderating and report centering and other people claiming that they're not doing enough to keep the platform faith from misinformation and hate speech, etc. so they're caught in the middle of a broader social debate. it's going on around the world. african music is about to be honored at the grammys with its own category for the 1st time. and after a beat stats from nigeria already when big as the 66th annual awards lights up los angeles. and a few hours kristen salumi has more those. so for this

fake on facebook or any other platform that could for example, depict a candidate being somewhere doing something that they had never done, which could embarrass them it's, it's, it's, it's, it's fraud for false information. so they do have a team dedicated to fighting misinformation, especially when it comes to elections. but it's a slippery slope as well because they also want to avoid being accused the censorship. so they get it from both sides here in united states. they're going to hear some people complaining that are over moderating, you know, report centering and other people claiming that they're not doing enough to keep the platform faith from misinformation and hate speech, etc. so they are caught in the middle of a broader social debate. yeah, it's going on around the world. and what is the maggot that you think it is about facebook that has made is one of the most successful companies in the world. do think that, you know, on balance that, that it, that it can be a forceful good. as i was around when facebook 1st came on the scene with one of the 1st users outside of the el

seven on your side producer rene khoury joins us for a deep dive on the fallout with facebook. join us for those stories and more. at 530 on abc seven. bay area streaming tv. dan and emma. all right. >> stephanie, thank you. >> and you can download the abc seven app or just head to abc seven news.com, and you can join steph in two minutes. >> and if you're watching us here on tv world news tonight with david muir is next for sandhya patel. all of us, we appreciate your time. i'm dan ashley and i'm ama daetz. >> we'll see you again at six. i see my husband... the father of our girls. i see a public servant. a man who served under secretary clinton in the state department... where he took on the epidemic of violence against women in the congo. i see a fighter, a tenacious problem-solver... who will go to congress and protect abortion rights and our democracy. because he sees a better future for all of us. i'm peter dixon and i approved this message. salonpas lidocaine flex. a super thin, flexible patch with maximum otc strength lidocaine that contours to the body to relieve pain

on social media including facebook. >> it was very inconsistent, incoherent. in some cases, they put a label that this is most likely this information. they removed the recording. in other cases they left the video untouched. put your house in order. >> asked about ai misinformation, facebook's parent company that we label it and downrank it and feed so fewer people see it. but cnn found multiple instances where the company did not label it deep fake and the statement did not explain why. regardless, once it spreads the damage can be done. even his own supporters were confused. >> people who are educated follow politics, they were still confused. >> really. >> so people who are politically engaged, supporters of you. >> absolutely. so i think this might be the year when we see a deep fake boom in election complaints across the world. >> that's ominous with our election just ahead. you mentioned this could be a sign of what's to come. what is the u.s. government doing about this? >> yeah. absolutely. from officials we've spoken to, this is something very, very

are being up loaded and shared on say, instagram or facebook, et cetera.o the opportunity to be able to identify, detect, label ai no matter where it's created would really be a game changer in helping to protect the integrity of elections and to avoid manipulation. >> and so i guess then to that point, you use the word label, which is i think how you described it when you're using the meta data. if it is ai generated content and has to do with election, would they label it as ai or go so far as to remove it entirely. >> that comes down to the nuances a of what the rules are on meta. and for instance, they have rules saying you can't have content that's designed to incite violence, so there's some question about that. and who knows what kind of deep fakes would be created either in a video form or a sort of still photo form. so i think that's really depends on whether or not the content adheres to the rules of meta. i think if you can label something and say this is a fake image, then that's very different than trying to say, hey, look at what's happening

and where, like look, facebook, create ghost profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people aren't represented of the data the same way. it tells you about the people who are. so i'm encouraged by i'm new frameworks that are emerging that are maybe helping us thing a little bit more collectively about our data. and so for instance, in the united states, lot of people are working on this idea of data trust. and this idea that you have data rights and you can also work with organizations who may were present to your data. ryans make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right i and this part this, this entities to, for instance, can be also collectively bargaining to make for that. again, collective right? so being represented, i think that we're heading towards new, new frameworks, new governance mechanisms, new regulations where we think a little bit more collectively about our data. let's take another question so f

i think what we're talking about is that a deep or collective issue where our lives are shaped by the necessity to use these systems. and where like look, facebook creates goes profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people who aren't represented of the data the same way. it tells you about the people who are. so i'm encouraged by the new frameworks that are emerging that are maybe helping us thing a little bit more collectively about our data. and so for instance, in the united states, lot of people are working on this idea of data trust. and this idea that you have data rights and you can also work with organizations who may represent your data. ryans make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right eye. and this part this, this entities to, for instance, can be also collectively bargaining to make for that. again, collective right. so being represented, i think that we're heading towards new, you frameworks, new g

i think, yeah, what we're talking about is that a deep or collective issue where our lives are shaped by the necessity to use these systems. and where like look, facebook, create ghost profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people who aren't represented the data the same way. it tells you about the people who are. so i'm encouraged by i'm new frameworks that are emerging that are maybe helping us thing a little bit more collectively about our data. and so for instance, in the united states, lot of people are working on this idea of data trust. and this idea that you have data rights and you can also work with organizations who may represent your data rights, make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right i and this part this, this entities to, for instance, can be also collectively bargaining to make for that. again, collective right? so being represented, i think that we're heading towards new, new frameworks, ne

and where, like look, facebook, create ghost profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people who aren't represented the data the same way. it tells you about the people who are. so i'm encouraged by i'm new frameworks that are emerging that are maybe helping us thing a little bit more collectively about our data. and so for instance, in the united states, lot of people are working on this idea of data trust. and this idea that you have data rights and you can also work with organizations who may represent your data rights, make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right i and this part this, this entities. so for instance, can be also collectively bargaining to make for that. again, collective right? so being represented, i think that we're heading towards new, you frameworks, new governance mechanisms, new regulations where we think a little bit more collectively about our data. let's take another question. so far

and where like look, facebook create goes profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people aren't represented of the data the same way. it tells you about the people who are. so i'm encouraged by i'm new frameworks that are emerging that are maybe helping us thing a little bit more collectively about our data. and so for instance, in the united states, lot of people are working on this idea of data trust. and this idea that you have data rights and you can also work with organizations who may were present to your data. ryans make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right i and this part this, this entities to, for instance, can be also collectively bargaining to make for that. again, collective right? so being represented, i think that we're heading towards new, you frameworks, new governance mechanisms, new regulations where we think a little bit more collectively about our data. let's take another question. so far o

and where like look, facebook creates goes profiles for people who are not on facebook in order to fill in your social graph. data tells you something about the people aren't represented of the data the same way. it tells you about the people who are. so i'm encouraged by i'm new frameworks that are emerging that are maybe helping us thing a little bit more collectively about our data. and so for instance, in the united states, lot of people are working on this idea of data trust. and this idea that you have data rights and you can also work with organizations who may represent your data. ryan's make it easier for people to collectively say yes, i will. and trust a non profit that it's trusted to make sure that i can exercise my right i and this part this, this entities to, for instance, can be also collectively bargaining to make for that. again, collective right? so being represented, i think that we're heading towards new, new frameworks, new governance mechanisms, new regulations where we think a little bit more collectively about our data. let's take another question so far our con

you're playing at the deep end of the pool.i thought the same thing about facebook last week and that clearly was wrong, as well. market's right now rewarding excellence and lilly's been in that mode, and they are probably setting up for a stock split. the last one was in '97. and maybe entrance into the dow, as well. >> we said this so many times, in terms of, a point you made, the a.i. sort of notion that there are a couple of winners in the space, do you see that, as well? is that a sign of fomo or -- >> i think it's one of those things where you overestimate short-term, underestimate long-term. i do think in health care and in bio tech more broadly, this is where the broadening out of the equity market rally, i think there's a real tangible case, because, again, going back, peak rates, you can look at some of the equity capital market activity, some of the m&a activity, the large pharma ge companies, they need to replenish their pipelines, as well. >> it's fascinating, kris, but when i think about a bristol myers or a pfize

trump once said: “i will end this festering, rotten, corrupt deep state.”t hasn’t worked out very well yet. so the three oldest american foundation, here are their founders: carnegie, rockefeller and ford. these three funds, in fact, there are already more of them now. 11, but the three most important ones lay claim to world leadership. what's interesting is how widespread the network of financial frauds through these funds is. let's see one example. so, we have before us organizations that are financed by the big three us foundations. institutions such as the brookings institution, the center for strategic and international studies, the council on inclusive capitalism, and the council on foreign relations. how is it all works inside and how the so-called gray money is disguised, in general, in the vocabulary of the united states there is such a concept as dark money, gray money, yes, gray or dark money, it is believed that when they discuss their internal agenda, that in order to finance election campaigns beneficial politicians, they use the so-called fou

, described meta's policies on ai, on deep fakes, on all this stuff as incoherent and describing loopholes in those policies that are a danger to elections around the world this year. over the past 24 hours, we have seen meta come out and said they were going to start labeling some forms of ai content but really only a very limited form of content that's made using certain software belonging to major companies. but look, you and i have spoken a lot about this in the past few months and years is that really what we're going into here between these robo calls that are apparently coming out of strip malls in texas and going to new hampshire to very, very misleading i guess types of content. video, audio, that's being produced easily and shared online. it seems like many of the companies just do not know how to get their hands around this. from the social media companies to the producers of this. >> i think you're being nice. i think they don't care pabecau they're making a lot of money so they're just like that's somebody else's problem. then again, i don't have to get my calls returned by th

tool to make that deep fake? we'll 4r5eub8 it. that to ebb terrible sources concern external sources. however, they have their own oversight board, well, we like this, we don't like that. and the recommendation from their own oversight board is just label content manipulated, period. don't do this investigation with you say, well, it violated this rule because of this and we're going to lessen its prom nance in the feed or we're going to remove it. the board is saying label it manipulated, call it a day. stuart: and the market likes it. meta is at $. lauren: up 147 percent in the past 52 weeks. did you get it at 167? stuart: no, i didn't. lauren: wish i did. stuart: palantir, big with gain. 20% up. lauren: wow. stuart this is going to be the, again, a.i. lauren: the ceo says demand for a.i. is, quote, unrelenting. they are working on at least 600 pilots using these large language models and and such technology. revenue last quarter up 20. they now -- 20%. they now have four straight quarters of profitability can means palantir is

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