tv The Cost of Everything RT March 19, 2023 4:30pm-5:01pm EDT
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eventually army in those bands, actually also the wholesale 14 at this situation has more control over and jeanene and novice with g scam swears dominican group of freight as well as is jerusalem, which is little a concern that it will escalate the violence during the ramadan. the months that wouldn't stop on next thursday, and also it's a government will locked in control the settler. so i don't think that's my change on the ground and back how many days. and that's all for now. be sure to check out our t v dot com for all the latest breaking news and updates was the right back here at the top of the hour. ah, look forward to talking to you all. that technology should work for people. a robot must obey the orders given by human beings, except where such order that conflict with the 1st law show your identification. we
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ah, bully autonomous self driving vehicles seem like a distant fantasy, but tech giants and automakers like for g m. i do has law and alpha bet had invested billions of dollars and years and making it a reality. so how far away are we from this reality? how long until a thomas driving can be commercialized on a large scale? and how much will it cost the consumer as well as the economy as this automation cycle will cause massive job losses for current drivers? i'm christy i and you're watching the cost of everything we're today. we're going to be taking a look at how autonomy vehicles will shape the world as we know it today. ah,
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market leaders are betting big on smart transit technology logs doing thousands of road miles to train self driving algorithms and ai sensors to drive better than humans. and all kinds of weather's companies like crews, way mo bay do. and others have invested billions of dollars into this emerging market, poised to reach 12 percent of new car registrations. globally by 2030. the concept of a thomas driving has shifted from robotics to ai. and nowadays, companies like way are building out large neural networks, f figured out details by itself, by converting inputs like camera or light our data about the roads ahead into outputs like turning the wheel, hitting the brakes by having millions of miles of driving data. these a eyes have identified around 200000 unique scenarios that it is then trained to
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handle. equity funding in a thomas driving tech has surpassed $12000000000.20, up more than 50 percent in 2020. but the total global investment, an atomic vehicles, has succeeded $200000000000.00 already. and that bigger is set to increase rapidly as competition intensifies. at the same time, countries around the world have invested in infrastructure to facilitate a v production and adoption. now we're talking about a thomas driving. there are 6 levels. level 0 means that there is no driving automation level. one means that there's driver assistance which most high end vehicles have these days. level 2 means that there's partial driving automation, which teslas are classified under today. level 3 requires conditional driving automation, which is a substantial jump from level 2 from a technology perspective. audis 8th l was the world's 1st production level,
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3 vehicle which rolled out in europe level for requires high driving automation, which means that these cars do not require human interaction in most circumstances . alphabets way more recently unveiled at l for self driving tax. the service in arizona and french company, nadia is already building an l for shuttle and cabs level 5 vehicles do not require any human attention. and while these are still undergoing testing in several pockets of the world, none are yet available to the general public pony dot a i. and i do has led the industry launching robo taxis for the public in china. and these 2 companies started charging fairs and last november, but it still has a safety driver monitoring the ride. and finally level 6, which means full autonomy, ition, and these cars do not need to have any human interaction in any driving circumstances. pony dot a i and i do have lead the industry launching. robo taxi's
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for the public in china. and these 2 companies started charging fairs last november, but it still has a safety driver monitoring the ride. meanwhile, in the us way, modeling cruise expect to soon launch their own page driver list taxi robot in san francisco, ford has begun operating autonomy test vehicles without a human safety driver in miami and austin, moving around employees. and while many tech companies are making tremendous headway and breakthroughs, not all of these companies are having successes in the sector. ford has pulled the plug on its effort to develop a full self driving car, getting rid of its argo, a division. now this cost ward $2700000000.00 to walk away after it had already invested $1000000000.00 back in 2017 and for more or less bring in dr. ran pendula ya,
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professor of the school of sustainable engineering at arizona state university. so professor, how far away do you think fully, aton mas driving is in our future, and what will the future look like? so i think fully, economists driving is already here. so fully head thomas driving is happening right in our backyard in phoenix, arizona. where way mom is providing fully driverless rides, i think cruise is getting ready to launch some driverless rides. they are already offering driverless rides, i think in san francisco. so i driverless autonomy, you know, because they are here already. and essentially what we're going to see, i think over the next few decades. so it is maybe 20 to 30 years. we will just see, i think in increasing prevalence in increasing rollout of driving less b goals in our you know, in our neighborhoods,
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in our cities. and so it's just going to be placed by place and, you know, geography by geography. so i think what we're seeing is essentially autonomy to be goes making a phased space you know, kind of introduction into our transportation ecosystem. there are some places where maybe it's a little easier or makes more sense to deploy sooner rather than later. and so i think you have this kind of see this phase to growth and expansion of autonomy be goes now, will we ever see a day when you have 100 percent? economists vehicles in 100 percent of the locations, like every neighborhood, every city, every state and so on. maybe that's very, very far away. you know, more than even decades. who knows. so maybe there are some places where it will
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never happen. we just can't say for sure, it depends on how the technology evolves, how rapidly a i really proves itself. but, but, you know, i think we're going to, we what we already see in place, and we're going to see it continuously expand and go over the next step, few decades. when it comes to technology adoption, there's always a learning curve with the early adopters. the main stream and then the laggards. so how long do you think before we can achieve mainstream adoption? again, there is just so much uncertainty. i mean, whatever i say is going to be, you know, rather significant speculation. because again, it just depends on the technology and all of its attributes. so, you know, i just think, you know, the pricing is going to matter in a, in
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a very big way. all of the attributes and the, the characteristics of the service or the characteristics of the autonomy vehicles is going to matter in a very big way. but i think you will see, you know, 5 to 10 percent early adopters and then maybe in another decade or so. but again, just depends on how the technology evolves. what are the price points? what are all the features? and i think you will, you will just see a very significant adoption curve, perhaps not very much like, you know, personal computers or cell phones and smartphones. i, you can very much expect perhaps that kind of an uptake. but again, it's going to be very, very dependent on numerous factors. so to try to put a timeline on it on it would be nothing but speculative and probably ill
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informed at this point. and do you think fully autonomy driving will be a net benefit to the economy or a net loss as it will display so many jobs across the spectrum? know like, i think, you know, automation has, you know, has generally defined human existence. we generally mechanize and automate tasks, and that has been the history of humankind. so i don't think this is so much different or so much, you know, out of the realm of what humanity has done and faced for literally centuries. so i don't see this, you know, i mean, i think the nature of jobs will change, the nature of work will change. so you don't, you might not have individuals who manually driving that is very hard and tedious work by the way. but, you know, perhaps there will be
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a whole lot of new jobs that are created as part of this automation. you know, push, and that's just going to require a, we skilling, an upscale in of our workforce. and our universities are all innovating and getting ready for that adapt haitian of the workforce that will be necessary in a future of ai automation robot x and advanced technologies. it seems like every country has their own approach when it comes to developing a technology. do you think that will lead to fragmentation within the automotive industry, as there'll be so many different standards and protocols in each country? you know, i don't, i don't know. we'll have to see. i mean, already we're seeing some signs of consolidation in the industry. there's a lot of, you know, global collaboration and cooperation and dialogue around transportation automation . so, you know, my sense is there's going to be, you know,
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a meeting of the minds so that we just don't have many, many different flavors and regulations surrounding surrounding economists. vehicles and automated driving. and so my sense is there will be some, some, some level of standardization, but, you know, i think some, you know, variations are inevitable simply because the contexts are very different. so, you know, many asian cities are just so different from north american and european cities, and you will simply need a different set of regulations and a different set of perhaps technology adapt taishan in those contexts. but i can, i, but i think the dialogue that we're having as a global community is so strong for that. i think we will see a certain amount of agreement on, on standards and how this technology will work. thank you so much,
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dr. ron penny alla. but don't go away because we will discuss more about ab powered, long haul trucks and how that is performing. when we come back to how our time is, try to performing and how many workers will be out of jobs because of the ever evolving technology. well find out to the break. ah ah, at this hour, american and coalition forces are in the early stages of military operations to disarm iraq, to free its people, and to defend the world from great a with
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food and medicine mm hm. ah welcome back to the cost of everything dialer, one of the world's biggest trucking companies has invested over 500000000. * dollars in a thomas trucks, the avi power long haul trucking space is moving perhaps the fastest in this evolving market. not only will it keep freight costs substantially lower, but it will also help the long haul trucking driver shortages in 2021. the industry
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was short, some 80000 drivers. self driving trucks can operate around the clock to deliver goods, allowing for more efficient supply chains. in contrast, human drivers are limited to 8 hours a work before break, and no more than 11 hours of daily driving. but in reality, the actual amount of time drivers spend physically driving a truck is about 6 and a half hours daily. self driving trucks would let companies nearly triple that to 17 hours daily. however, there are some labor union concerns as automation can displace as many as 3000000 workers while they're still more development before the technology is perfected. these ab trucks will be poised to radically change the trucking industry, operating nearly around the clock as they chris across the country. as it stands, there still needs to be improvements so that they can reliably operate in extreme weather like intense snow and fog infrastructure. and certain parts of the country
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will also have to cut shots. so there is high speed 5 g internet communication along all the routes. with full automation commuters will be able to engage in productive activity. morgan stanley reports estimates that driverless cars would contribute $500000000000.00 to the economy as a result of work or productivity. moreover, traffic and congestion would also be a lot better adding another $138000000000.00 in annual savings. this would mean that a thomas trucks would replace up to 90 percent of highway trucking, which would displace as many as $500000.00 long haul truckers. now this would have enormous impact on the workforce as drivers displaced would have to find other occupations or switch to short hall routes. however, short hall jobs typically pay less the long haul jobs, which would be insufficient to fully replace last earnings of $65000.00
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a year. trucking jobs are the most common jobs in 29 out of 50 states in the us. and there are millions of people working for the trucking industry and non driving positions. once automation happens, up to 1700000 workers in the industry can be impacted and affected. and far more, let's bring in once again, dr. ron penny ala professor at the school, a sustainable engineering at arizona state university. so professor, what other industries will need to change as a result of autonomy? vehicles on the road, things like insurance, policies, roadside, internet services, etc. absolutely. so, i mean, i think you'll see a lot of telecommunications industry, i think, will very much be part of this revolution that we're seeing in transportation, of course, the insurance industry and, and everything that goes with liability and risk and so on. we'll need to adapt as
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well to this new normal. and then, you know, just in terms of materials and suppliers and all the technology stack to feed into automation, i think they will have to adapt. but so we'll all of our transportation infrastructure . so in the future of automated vehicles, you know, what kinds of infrastructure do you need, adapt patients and sensor systems? do you need to put into place to make sure that either road users are safe and they are not made more vulnerable, so to speak? so if you think about pedestrian, a bicycle and all the other, you know, users of the transportation system, i think you will see some, some adjustments that need to be made even to the infrastructure itself. and we'll talk about the power grid in relation to converting to e v. 's. what about this conversion into a fees? are we going to run into the same problems as there isn't enough power
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infrastructure to support all of this? you know, i think it will probably, it will probably take a while to really get to the point where, where, you know, really challenging are great. i mean, i think they'll be other challenges to the grid just brought on by climate change, extreme heat wave extreme please praise conditions and so on. that will challenge our grid more than, you know, plugging in electric vehicles as well. but you can imagine in a future where there is, you know, very, very significant uptake of electric vehicles and everybody charges them overnight. you can think of a considerable strain on the grid. but again, i don't think it's anything we can't handle. i would be probably more concerned about just the extreme climate conditions that might put a greater strain on our glared than you know,
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a 1000000 electric vehicles being plant get every one, make lou holler jobs redundant at the new jobs that it would create require specialized skill so how would we plug in the shortfall in skilled labor necessary to service a visa and run logistic hugs? you know, i think we're already in that business. a lot of the institution spoke to community colleges and universities are offering programs and educational training programs in those area. so we are producing the workforce of the future that a more automated society would need and would benefit from. now having said that, i do not necessarily think, you know, glue color, service oriented jobs are going to just fade away. hey, i mean, all of these vehicles need to be maintained cleaned there. there's still going to
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be a lot of service oriented jobs, especially f, automated vehicles become increasingly part of mobility as a service. and so, so there's going to always be, you know, a need for the service, you know, the service workers who take care of the assets. and in the meantime, i think all of us in the educational sphere are very much adapting our curriculum to produce the workforce it's needed for the future. and is there resistance against advancing into automation for fear of job displacements, and how many people will be displaced due to automation becoming more mainstream? i, i can't really put a number simply because i'm not, i'm not fully aware. i'm not fully aware of those statistics. you know, again, i just don't think there will be a whole lot of, you know,
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the displacement or unemployment. again, to me it's simply a natural transition. and as you just think about, perhaps, you know, moving up, moving increasingly from fossil fuels and coal, to more renewable energy sources. it's not like everybody working in those industries are going to be kind of become unemployed. you know, i fully expect that they are going to transition into the renewable energy industry and have very, have very good jobs waiting for them. and so the thing is going to happen with automated automation in transportation. you know, yes, we might see, you know, a 1000000 drivers perhaps no longer needed to drive vehicles, but will need a 1000000 individuals to take care of these assets and to actually manage either the entire automation process in all of the technologies and maintaining these
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vehicles and showing that their functioning and maintaining all of the logistics are handling all of the logistics that goes with it. and are there any security concerns when it comes to autonomy? vehicles as they are giant computers, literally tracking every movement habit and list me in on conversations within the car. so is that a major concern that these vehicles could threaten the privacy of citizens? absolutely, i think there's privacy concerns. i think there's cyber security concerns. these are, these are, you know, computers on wheels in many ways so they can be hacked and they can be compromised . they're recording every move, that move and conversation and so on. and so i think a lot of that is going to be part of the evolution as the technology is increasingly become part of our society. i think people, for the most part,
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you know, acknowledge that in this era of social media, etc, etc. a lot of, you know, generally there is a lot of tracking and big gathering that's happening. but all of that comes with a certain privacy policy and privacy expectations. and the same thing with cyber security. i mean, you know, whenever we do a transaction, we expect, you know, it to be a secure transaction, whether you're shopping online using a credit card, et cetera. it's banking, online banking and so on. and i think it will be similar expectations for automated because as well. and so we will need very robust cyber security systems in place and a workforce that's able to ensure the security of the systems that are around. thank you so much for your time today. self driving vehicles are meant to
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liberate consumers from the tedious task of driving. if people can sleep or nap or take meetings, answer calls emails or listen to lectures in their personal travel, pause. they might choose to live even further away from work or school. this will make daily community much more tolerable than congested city living. it also re purposes how passengers use their time while traveling, providing space for rest. but while the future is bright, there are still many hurdles left to overcome for the industry. things such as safety standards, 5 d infrastructure, as well as maintenance cost, maintenance costs for an ab is like maintenance costs for super computer lots of electronics that require specialized technicians to troubleshoot and fix. in comparison serving a standard patrol power vehicle would be a lot cheaper and timely to fix. and although there are numerous cost savings and
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efficiency when it comes to automation, does the consumer actually win here? throughout history, automation has led to better productivity, increased efficiency, but it also led to humans being subjected to more mundane tasks and working conditions. this is especially true for people in medium, low income work where majority of the tasks are repetitive. paradoxically, work may become less effort full, but more tedious and fatiguing as drivers transition into a more supervisory role monitoring the progress of truck deliveries instead of actually doing the physical delivery. so while the hype, surrounding driverless cars has attracted billions of dollars of investment, it has also fostered unrealistic expectations. mainstream adoption of atomic cars is something that will happen over the next 30 years. as current technology is still insufficient to reliably accommodate drivers in every day situation. i'm
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christy i and we'll see you back here next time on the cost of everything. ah, ah, a in a if i give it a shot now shorter one and i'm not trying to stay. let's look at ame scan all one on you know what doc with that teacher. just don't session. a national z. m a lesson shylie. you get b by get bonded when you sit on with the idea.
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