i just want to pursue was that slice on the side or you think your kid is 2 different, risky, irresponsible, reasonable stop in port in those nonsense. i want my son to the doctor. joe, in the clubs. it's time to give him your generation with a sleep us and then when generations flash dogs, january 14th on dw, says kind of fun, it feels like therapy. the artificial intelligence is transforming our world and the race for domination. how's the gun from shaping the future of search engines to driving the next year of warfare? a uh, it's fueling and new industrial revolution is becoming less than the fee for

everybody. so for something in this video, we'll look at where the power lines will as test the role of government and the task. right now it's a big divide between the has and have not the stakes of fully behind. so for military's, if they get this wrong, they can use a war on the challenges of regulating an industry that is growing ad, mind boggling speed. i think a lot of people who are in position to make policy don't really understand the technology. that's all coming up on business beyond this that's got this side of the way 1st, there's no universal definition of artificial intelligence. but some experts say it's best described as a system that can take action on its own. self driving cars, high frequency trading on the personalized content that appears on your social media feeds are all examples of a i as a reason,

the launch language models like microsoft box top g p t. google's barge they do is ernie and mess of lama. we'll talk more about those in a moment, but 1st, let's follow the money. since 2018 revenue from a software has increased rapidly, with the market, expect it to be worth a $126000000000.00 by 2025. venture capital investment in general is of a i the kind of systems that power those top box we just mentioned have seen especially large growth over the past few months. january, this has been cropping. the headlines when open a i released charged c, p t. millions of people, including myself, or why would bias the goal is to go bill as ease. but how big of a deal is it really? i asked a researcher at melanie mitchell. i think it is a game changer. you know, it's really enabled. uh,

a i systems to generate language to generate images and soon to generate videos in a way that it's never been able to do before. that really can be quite human. like the world of big tech took a similar view. all of a sudden people were wondering if a child g p t powered version of microsoft being could be about the top of google's dominance in search. but this is about a whole lot more than a few tech companies trying to do each other. the way generative a i is integrated into our search engines will have a profound influence on how we access information. and by extension on our understanding of the world. is this big implications for who gets to decide? what is the future of a i? one of the things that we've seen with large language models i've tried to be, is there a lot of problems they can generate tax? that's really impressive. in many ways it can be very convincing. it's very,

a good quality text. but because it's trained on the data on the internet, the database of these models has all of the problems that exist in the text on the internet. so if prompted in the wrong way, these models can produce text, it is hostile toxic or bias. the difficult ways, the models themselves tend to make up facts or hallucinate things. in some cases, things can get done right. weird in this exchange between things a i model in, in new york times reporter, the talk bought appears to fall in love and tried to convince the reporter that he doesn't love his spice. they sounds like humans. you know, you ask some questions and they answer in a very articulate a fluent way. sounds like you're talking to a human in some ways. and yet they don't have the understanding of the world that humans have. that enables them to be robust and to tell the truth,

to be able to tell the truth from a non truth from misinformation. and that's something that humans can do much better than machines. at this point. in recent years, the field of ai has moved away from being primarily an academic discipline. one big reason for this is funding developing a language model like taught t b t takes years and relies on massive look tricity goals, link computing systems. the reason why this very computationally attentive approach has effects on global power is that it's very expensive, true costly to assemble this kind of massive computing centers that are then used to train these machine learning models. and that's why it's large tech companies like google and microsoft that we're seeing releasing these early coming slice

versions. for example, of large language models incorporated into their search functions like google search or bang rather than just any research or able to do it. so we've seen that big tech with its deep pockets holds a fair amount of power in the world of a i. but how does that translate into national pro wes, when it comes to regulating a i am the digital world more generally. the european union is the forefront, the u. a i x expected to go into force in 2024 attempts to categorize a applications according to their risk spaces. applications such as the social scoring system, the chinese government has introduced would be deemed an unacceptable risk. and therefore banned high risk applications such as c, b scanning tools or chalkboards would be subject to certain legal requirements. busy other applications like gaming would be left largely on the regulations. the us in europe,

a very different for philosophical approaches when it comes to tech regulation. we certainly see with data regulation like the g, d, p r, as well as all the areas like a more broadly you regulation on artificial intelligence that e is leading into regulating technology. whereas the, i'd say it's has much more of a lot of i fair approach. while the, you may be ahead in the area of regulation, there are a number of open questions, especially when it comes to how the law will be enforced. research has also pointed, but there is no way of knowing how public institutions are ready using a i. here's layla such as describing the situation in germany. now, for example, that mom time a german city is to you, they face recognition software in order to help the police with being notified and, and certain kind of risk. and that situation, we know that this application isn't working with a private with on,

which varies pass that body movement. so this could be an example that show, okay, how face recognition security issues, but also data protection issue issues come together. another ethical dimension to the story and one which has to do with power to concerns the people employed, to train the machine systems open a. i does not give information about how many people were used to train chop g p t . so i asked a researcher, melanie mitchell for her best guess. yeah, that's hard to say, you know, hundreds to thousands of. there's human involvement at all different levels. there's the human involvement in of figuring out what data to give the system to learn. you know what, what text and so on. there's human involvement in training, it to be kind of more conversational. and to answer questions in a more human like way. and then there's humans who try to prevent it from spewing

out toxic language or other kinds of things that you know, the companies might not want it to, to say, since the release of chat t p t on an investigation by time magazine, find that open a i used workers in kenya to classify disturbing and legal content, including descriptions of sexual violence. employees reported receiving in adequate mental health support and earning less than $2.00 an hour. i think it's pretty obviously, monthly, problematic to outsource the to, to countries. i mean, i have no problem with as are some of the countries that, that i'm for making everything norman's finest of money at the low on the exchange rate. luckily, i only sense that she needs the cheapest to buy to a treat. she actually go home and make sure they have adequate health care, which again is presumably pretty low cost for the car. in this video, we've looked at the rapid growth of the industry and how the focus of power can shift between big tech companies,

governments and research institutions. but not everyone i spoke to agreed that framing the current status as a competition make sense. and every time i called wired uh, regarding a i am definitely farming to the discussion when the quantity of discussion around and course make decision making. so when i hear, let's say that your needs to catch up chinese or american emission and improve position regarding the use or decline uh, development. okay. i see that we haven't really defined what the goal of this phrase would be. the other is believe that distinguishing between democratic and, or far, terry and regime is essential in any new digital order. i'd like to see the developments something like a, a shrinking area among a lie, scientists making it easier for a scientist to travel between say, europe, united states, australia, japan,

south korea, and make it easier for them to move around, share information. but one thing that blew my mind was when a i research or a melanie mitchell told me that no one actually understands how a i systems like touchy p t actually work. or why they come up with the on to is they do? i asked her to clarify if she really meant no one, not even the scientists who pro crowding up. that's right. uh, you know, the systems are these very um, large computer programs that stimulate sort of what they're called neural networks . didn't her own it works. and they have stimulated neurons that have connections that have a weight scale use, and they have something on the order of, you know, billions to trillions of these weights. and that's just an unimaginable scale for humans to understand. now they were kind of like the way we might try and understand our own brains,

which we don't. the spread of misinformation is frightening enough, but in other sectors. the trends of unrestrained a i could even be ex, essential. i think probably the people are the most successful in the arrow pollution, although as we find ways to use these technologies to be more productive for me, more competitive in the workplace. but for military's, if they get this wrong, they shall use a war uh, their country. we could, you know, use power on the google search that could be overtaken by the arrival they could be invaded. and that brings us to the end of this edition of business the. we'd love to hear your thoughts on this topic. so to leave the comments. and if you like what you see here, you can always subscribe to the business beyond playlist. a good place to start would be our recent video and looking at whether the dollar will maintain its position of global dominance for me on the team. it's good bye. take care the

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david miller was a former senior official of the state department. he says the timing is good for the president. if this were playing out in october of 2024, i think it would have a very significant impact on what promises to be very close election.