that's it. you're up to date now don't go way up. next is a special look at the race to dominate the rapidly folding fields of artificial intelligence. business beyond god else's input in the can use. yeah, we are all set. we are watching close all the to bring you the story behind the new your own about on volume information for free might do to me in the power lines will as test the role of government and the task. right now, it's a big divide between the haves and have nots, the stakes of pulling behind. so for military's, if they get this wrong, they use a war and the challenges of regulating an industry that is growing ad,

mind boggling speed. i think a lot of people who are positioned to make policy don't really understand the technology that's all coming up on business beyond 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 recency 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 expected 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 has seen especially large growth over the past few months. generally of a i has been cropping. the headlines when open a i released todd c. p t. millions of people including myself for wild bias, suggesting abilities. 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 thing could be about to topple google's

dominance in search. but this is about a whole lot more than a few tech companies trying to i do each other. the way generate of 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 machine with large language models i've tried to be, is there a lot of problems they can generate text, 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 data base are these models has all of the problems that exist in the text on the internet. so if prompted in the wrong way, there's a lot is, can produce text. it is hostile toxic or biased. it 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 a new york times reporter, the tough part appears to pull in love and try to convince the reporter that he doesn't love his spice. they sounds like humans. you know, you ask them 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 that is funding developing a language model like taught t b t takes years and relies on mazda of elk 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 commercialized 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, may 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 at the forefront, the e 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 shot bonds would be subject to certain legal requirements. busy other applications like gaming would be left largely on regulations. the us in europe, a very different philosophical approaches when it comes to tech regulation. we certainly see with data regulation like the g, d, p r, as well as well as other areas like more broadly you regulation on artificial intelligence that he is leading into regulating technology. whereas the united states has much more of

a less 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. researchers also pointed that there's no way of knowing how public institutions are already using ai piers layla, such as describing the situation in germany. for example, that mom time a german city. if you think face recognition software in order to help the police with being notified and at and certain higher risk in that situation, we know that this application isn't working with a the but rather with um, with very fast body movements. so this could be an example that showcase how base trig transmission security issues, but also data protection issue issues come together. another ethical by mention to this story and one which has to do with power to concerns the people employed,

to train and machine systems open a i does not give information about how many people were used to train talk g p t. so i us a research or a melanie mitchell for her best gas. 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 texts and so on. there's human involvement and training it to be kind of more conversational. and to answer questions in a more human like way. and then there's uh, 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, 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 a monthly, problematic to outsource a to, to countries. i mean, i have no problem with as far as in the country is that i'm from making everything norm is quite as of money and i look on the exchange rate. luckily, i only sent that she needs the cheapest to buy to a cheap, cheap if you go home and make sure they have adequate health care, which again is presumably pretty low costs for they are. in this video, we've looked at the rapid growth of the industry, and that has a 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 makes sense. and every time i called florida regarding a i is definitely farming to the discussion when the quantity of discussion around

and course make decision making. so when i hear, let's say that i don't need to shop at chinese or american. i'm emission and 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 a terry and regime is essential in any new digital order. i'd like to see the developments something like a, a shrink, an area among l. i. scientists, making it easier for a i, scientists 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 answers

they do. i asked her to clarify if she really meant no one, not even the scientist to program that. that's right. you know, the systems are these very 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 weights values and they have something on the order of, you know, 1000000000 is to trillions of these weights. and that's just an unimaginable scale for humans to understand. now they board and kind of like the way we might try and understand our own brains, which we don't. the spread of misinformation is frightening enough, put in other sectors. the trends of unrestrained a i could even be access dental. i think probably the people the most successful in the arrow pollution, although as you find ways to use these technologies to be more productive for may more competitive in the workplace. but for military's, if they get this wrong,

they shall use a war their country, we could, you know, lose power on the google search that could be overtaken by a rival. they could be invaded. and that brings us to the end of this edition of business, the author. 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 looking at whether the dollar will maintain its position of global dominance for me on the team. it's goodbye. take the on the on the trail of a nazi highest v, as of jewish families,

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