we ask mine because no one should have to make up your own mind. d. w made for mines and the, i'm just gonna throw this on. what do you think struck a that's quite us, david. he's just talking to an a i chip on these days for you. it's more it more like talking to an actual human being. but what does this really mean for us as use us? how well do they really understand us? and what are the risks that we face? jeff, thoughts are becoming increasingly lifelike. take trip to peachy for oh, by open a i. it can visually identify surroundings and recognize our emotions. the book even has some understanding of comedies. what do you call. busy a giant pile of kittens. i don't know what m young's and

that's perfectly the layer it is just how useful is the newest version of chips repeat to you really cheap t for o is more human than ever. it can communicate emotionally and see its surroundings . the old that's for on the, as in, on the put sense, the model can work with text, audio and video making beat into action more natural. take a look. and i wrote one last thing, i love it, you can take it with that. of course i'd love to see what you wrote, show it to me whenever you're ready. okay, so this is what i wrote down. what do you see? oh, i see i love chat to p t. that's so sweet of you. according to it's make of g, b, t for all can not only express emotions, it can recognize your emotions to it looks like you're feeling pretty happy and tearful. hey, i, systems learn to recognize emotions by being trained on corresponding data. so for

example, by analyzing text, that leaves the smile to happiness, that leaves tiers to establish and a i is train to up to the like in an optimization process to recreate in the states. but what happens when a, i adults more human like traits? the model become indistinguishable from extra humans. we tend to be very trusting of computers decision, even if they contradict our own beliefs. that's according to research from as thoroughly as 1999 and more recent studies suggest the same checkbooks already convincing. but if they speak to us like a human being what they might be even more so, and that could be a problem because a, i can like it can invent effects if at least to be true. this is called lucy nation test. so that a i playing poco a video games have learned to bluff to produce of favorable outcomes. the systems

are known to be 9 or 2, making up things. and if something is very convincing, i'm septic and making things up. just by my natural behavior. i'm way more inclined to believe it best if it was dry objective text or, or reasoning that can be much easier to assess sort of nonsense or not. i don't know about you, but in a i chip bought deliberately lying seems pretty scary. it could trick us into giving away personal data like credit card details, and even if that doesn't happen a chip both could be the future of online misinformation. that's why it's important that a i is trained with error free data and is able to understand the nuances of language correct. in india, there are 22 official languages and over 19000 dialects. plus some topics like sexual health aren't open the talked about. and that's web checkbooks could come to

the rescue. the main of all books can also have tricky questions about sex and health in india. but it has to understand cultural nuances and different dialects. not what he's in the one of the moving whiskey diverse areas with um you know, hundreds of languages. but within those languages there are so many. so languages, some dialects lines normally sign within those languages. what's nice is that in defense within those families? so how do we then reduce on so as an attack board, that is mental started women that are maybe not listed to a standardized version of our language in advance. lots of language models and able to check both to comprehend and engage in multiple languages. the l m used by the may not be a little f r trained to connect with uses and then native language is like manase and even the sing list can be mixed with english. what, why people don't think that they would say something like maybe a mom or i thought those days. oh really, you know, so there's different ways of themed, a theme. so pleasing that one then using slang. so things that does that paste look

as well as that could be for to, for that this app to use instead to having those metaphors from 5 lots of the back end states of 8th is needed. so the both can understand a problems correctly and doesn't get lost in translation or even worth create confusion with incorrect information or lucy lation. this requires intensive ground with the checks balances that, that i bought provide. and if it does it all, then we have a good i portion that basically, then we take all the questions and the correct answers and be seen in fact into the model. and that is actually 20 to 25000 questions as we are fact checking. and betsy not to do with our staff, but also with medical professionals and doctors and has professionals have been in the field for 10 years. the nations is the issue that most across the industry. if you're trying to figure out how to do that, along with other things like, you know,

these are bias, gender bias, political bias that comes up in the don't because it isn't the was the reason why there's gender bias. some of the thought is because then tend to buy from the way back to the basics. how doesn't they? i checked both learn to talk to environments and know what to say. the most important components of chip thoughts is a so called l l m. a lot language model that's an a i program that can recognize and interprets human language. lots language model is an a i program that recognizes and interprets human language. l m. 's, use machine learning to understand how characters, words and sentences worked together. creating neural networks with many layers, processing large amounts of data. these networks learn by recognizing pets, owns, for example, in language, then waiting and scoring them. this network is learning to recognize the number 9, the more frequently a pets on the occurs, the more weight,

the network places on it. and this way important pensions are reinforced. for feedback and repeated training l. m slow and to understand and generate and natural language. the limits performance depends on the quality or training dates and l. m often trained with data from the incentives. a pre selected dataset is most suitable here because arrows can be filled out beforehand. there's a new number $25000000000.00 us dollars. we're invested in the development of genuine to a models such as chest u. p. t's in 2023 alone, 8 times more than the year before. and the market for a i software that can read your emotions is also growing. it doesn't even have to look you in the face. natural language processing software is being used by companies worldwide to analyze their customers and employees emotional states. the

study conducted by jonathan chrysler during the colbert pen demik shows just how well the systems work. the co founder and president of the motion a. i start the rest of tippett t analyze the red posts of 6500 nurses and doctors with as proprietary software. looking at close to the full 1000000 comments over the course of full years cried luck. you right to the data base for research as the world wide, the goal advance, the detection of psychological distress and trauma is actually an incredibly wide variety of insights that are available from our assessments. we can understand, you know, simpler concepts like personality. but we can also understand psychological traits and understand how people change in the moment depending on the context. what we found was that even early in the pen demik, even before the world health organization declared a pen demick, we could see some of the early indicators of what would ultimately lead to burn up . things like elevated cognitive load. all that is needed is every day

communication, such as e mails, select messages, or social media posts. but why existing through communications, the software doesn't just look for up is descriptions of feelings, but also for so called function words, such as pronoun how we use these can review a lot about all mental states. people with depression, for example, you significantly more 1st person singular pronouns, like i and myself. according to a psychologist, people who are depressed, often highly self aware, also focusing this applies across languages and cultures and a i could help support the sol called language of depression water. the patterns that exist that we're analyzing are the same across cultures and context. that's less of what people are talking about and how language can provide insight into how they're thinking about themselves and the context there and, and how they relate to the context or in, into the other people around them. it's very much a social psychological phenomena that we're focused on,

and that exists regardless of the cultures or languages you're communicating. pay i can not only analyze text, but also voice messages. the use cases are plentiful, analyzing how people interact with checkbooks, splunk companies inside. and so they use this mindset the really interesting recent use it for, for technology was to help with the vaccine uptake and underprivileged communities . so what one of our customers was finding is that if they could understand how some of these populations think and how they consume information, they can do a better job. tailoring the messaging around the benefits and really the reasons why this action should be used to this community and improve vaccine uptake. after conducting interviews with community members, the language model was used to create a detailed community profile. this allow to custom tailor the message to a specific part of the population addressing benefits and concerns and methods that

comes from advertising and marketing. and it's becoming more and more common. so called triple bots. i know also is using a motion a i to also use us customized travel tips. just one example is the voice a i m a v. the f is currently being tested and based on your wishes and personalities, it can put together a trip from new york city. for example. first, you'll have to write a few pictures and answer some simple questions. the up then creates a kind of psychological profile. if you using that as a foundation, who then receive personalized travel recommendations. but what does it mean for our privacy when a companies use our data? metal, for example, officially says that it uses our publicly accessible facebook and instagram photos and text to train and say, i what happens then? one of our programs that can analyze or facial expressions who uses this data and what for regulation can hardly keep up with innovation,

leaving us exposed to potential dangerous for a i to fine acceptance and responsible use that you, people need to know what they are doing and how they are working work they are trained on understanding leads to that as testament a i will continue to understand awesome the emotions, betsel that's affect it will make every day tasks easier, but we will have to stay vigilant with how we developed and protect our data in the wrong hands, our data could easily be used against us. i want to know what you think about all this. leave a comment and let us know. that's it from us this week. so you next time the

how many of you speak more than 2 languages? at least 2 or more languages. we used to be taught to speak english. why we we can from becky ground of speaking, hey, we have been raised. and so, i mean, do you, do you lose you? i just, just simply by learning a level language, when i speak english, i said they can do this, pressing the 77 percent, 30 minutes on d w. all that's next is the grades and then slide buried, manuel saw that it was the pot to his wife and 2. he calls it to st. but the catastrophe was caused by blood for a new highway a chinese construction projects in columbia. with no regard for the global in 90 minutes on d w, the

asked about why does this because now i'm leave them on the the new host. join us for an exciting exploration of everything in between. this is a video and audio production 5 d, w. i hope video with unit manyels and didn't you belong to the 77 percent comes who i jumped and 65 last last those top 5 years, 31115. we're here to help you make up your mind. we are here on please find your mind. so all of the topics,

i'm much it to you from couple talk fixed a new culture and in 15 minutes, let's say together. parts of our community life on the research is now on speak to the business, dw news, and these are the top stories. indian problem minister under, under moody, has claim victory in india is week long parliamentary elections setting them up for that time. but versus have defined exit. pope predictions of a landslide victory bodies and the a lions of policies has one majority in parliament, but with most of both now counted his hindu nationalist policy. the b j. p looks that's to full show of its own outright majority us president.