i understand it's coming off on our tech series shift savings usually invalid. thanks for watching the runs small steps for a robot vacuum. one giant leap for exploiting the ocean floor. cutting edge technology is i'm looking at the potential of dc mining. but this time, a research team will study the possible risk sucks in order to minimize then we have an opportunity to to get it right before we even start environmental activists

. all of the rules fail billions to be made out to talk, to mentoring deep the greed dots june 7th on t w. i'm just gonna throw this on. what do you think? okay, that's quite a favorite piece. 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 the 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 a giant pile? of kittens, i don't know why i'm younger than

a korean city. that's perfectly the layer. it is just how useful is the newest version of chip shape it to you really cheap t for o is more human than ever. it can communicate emotionally and see its surroundings, the old festival 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 a look at, 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's and 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 like in an optimization process to recreate this data. but what happens when a, i adults more human like traits? the model become indistinguishable from extra human. we tend to be very trusting of computers decision, even if they contradict our own delete. that's according to research from as early 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 that could be a problem because a i can lie, it can invent effect, it believes 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. these systems are known to be not trying to

making up things. and if something is very convincing 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 dates or 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. domain of the box can also 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 more thing whiskey diverse areas with um you know, hundreds of languages. but within those languages there are so many sub languages, some die leg line normally sign within those languages, what's 9, but then defense within those families. so how do we then reduce on says an attack board that dismentos doggy women that are maybe not electricity. the standardized version of our language is advanced laughs language models and able to check for 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 seamless cindy mixed with english. what, why people don't think that they would say some buttons, but maybe a mom. so some of those days, oh really, you know, so there shouldn't be the theme to theme so pleasing that one lady was inclined to think that does a paste. this is all jacked. would be to please my friend before that this f c use

instead to having those metaphors from 5 lots of the back end states of 8th is needed so that both can understand a problem correctly and doesn't get lost in translation. or even worth create confusion with incorrect information or move the nation. this requires intensive ground with the checks balances that, that i bought provide. and if it does it all, then we have a good explosion that be create. then we take all the product questions and the correct answers and repeated back into the market. and that is actually 20 to 25000 questions as we are facts taking and investing. not only with our staff, but also with medical professionals and doctors and has professionals have been in the field for 10 years. the nations is a issue that going most across the industry. if you're trying to figure out how to do that, along with other things like, you know, be by, is gender bias, medically bias that comes up in the topic. this isn't the was the reason why this

gender bias would be does because the 10 devices back to the basics. how doesn't they? i checked both learn to talk to with environment and know what to say. the most important components of chip thoughts is a so called l l m a lots language model. that's an a i program that can recognize and interprets human language. lots language model is in a 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 based networks and done by recognizing pets on. for example, in language, then waiting and scoring them. this network is learning to recognize the number 9, the more frequently a pets i'm. of course, the more weight the network places on. it's in this way important pets of. i'll

reinforce to feedback and repeat the training l. m. sloane to understand and generate and natural language. the names of the formants depends on the quality or training data. and the names of trained with data from the internet, a pre select the dataset is most suitable here because arrows can be filtered out before hand the remember the $25000000000.00 us dollars we're invested in the development of generative i models such as chest u. p. t in 2023 alone a 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 cobra demik shoals, just comb. 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 this proprietary software. looking at close to full 1000000 comments over the course of 4 years, chrysler curated 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, declarative pen, demik, 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 everyday communication, such as emails like messages or social media posts. but why existing through

communications, the software doesn't just look for obvious descriptions of feelings, but also for so called function words such as pronouns, how we use these can review a lot about all mental states. people with depression, for example, use significantly more 1st person singular pronouns like by me 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 so called language of depression boulevard, or the patterns that exist that we're analyzing are the same across cultures in context. that's less about 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 is very much a social, psychological phenomena that we're focused on and that exists regardless of the cultures or languages you're communicating. hey, i can not only analyze text,

but also voice messages. the use cases are plentiful, analyzing how people interact with checkbooks, splunk companies insights into the 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 of countering 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 is becoming more than more common so

called trends of bots. i know also is using a motion a i to offer use of customized travel tips. just one example is the voice a i f, 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 them creates a kind of psychological profile, a few, 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 takes to train is a i what happens then? one of our programs that can analyze all 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 find acceptance and responsible use that you, people need to know what they are doing and how they are working, what they are trained on understanding leads to better assessment a i will continue to understand off and all 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, comments and let us know. that's it from us this week. so next time, the kind of always in signal to start the next is

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