areas see temperatures push some areas see temperatures push past the mid 30s, 36 in the south—east of england. i 20s across scotland and northern ireland. more cloud to the far north, cooler and it will fill in across parts of east consultant and the north—east of england. cloud into northern ireland and the south—west of england. could start to herald the arrival of sharper showers. a warm night ahead for sunday, hotter again, particularly across the southern half of the uk. a change coming into the north west. sheriff picking up the north west. sheriff picking up the pace and as they come in they will drop heavy rain but also usher in cooler air. isolated showers possibly across western england and wales. no really significant rain and sunday still very much a story of pretty significant heat for many.

hello, this is bbc news. i'm luxmy gopal and these are the headlines... writers and politicians condemn an attack on acclaimed author, sir salman rushdie, who's now on a ventilator, after being stabbed on stage in the us state of new york. his agent says the 75—year—old can't speak, is likely to lose an eye, has a damaged liver, and the nerves in one arm have been severed in the attack. more extreme heat is expected in the southern half of the uk over the next two days. that, as experts also

warn england's drought could last into the next year. travel disruption after thousands of train drivers from nine rail companies go on strike across the uk today. it's the latest walk—out in a row over pay and conditions. documents in the us show fbi agents seized papers marked "top secret" when they searched the florida home of the former president donald trump on monday. the search warrant shows he's being investigated over possible violations of the espionage act. the 82—year—old taking on new heights. nick gardner tells the bbc he's "ready and very excited" to scale the final peak in his mission to climb all of scotland's 282 munros. now on bbc news, the engineers: future of cars. in this special programme, three engineers at the forefront of reimagining the car, join the bbc�*s kevin fong at the science museum in london to discuss the future of cars.

hello and welcome to the science museum. i'm kevin fong and this is the engineers: the future of cars. i am in the information age gallery sat in front of an object that's called the rugby tuning coil, and 100 years ago, this big wheel of copper wrapped in wood was the most powerful transmitter in the world. so it's an appropriate place for us to have this broadcast, which brings in an audience from five different continents through the magic of our video link, as well as a large audience here in the gallery for a programme that will be broadcast on bbc world service on radio and television.

the climate catastrophe, the sheer weight of traffic on our roads and the horrific rate of accidents they cause has forced a revolution in the way that we think about cars. with me today are three engineers who are at the forefront of that revolution. we have arjo van der ham from the netherlands, who's the chief technical officer at a company called lightyear. he has developed the world's first family—sized solar—powered car. we have jamie shotton, an expert in al and autonomous vehicles. he is the chief scientist at a company called wave, and he's here to tell us about autonomous driving vehicles. and last but not least, we have linda zhang from the united states. she is the chief engineer for the f—150 lightning and has managed somehow to electrify one of america's most iconic and brilliant cars. pleasejoin me in welcoming them today.

linda, let's start with you. people outside the us probably won't know what an icon the f—150 is. yes, it is. so f—series is such an iconic brand and it's responsible for m2 billion of revenue. so that's 17 million units on the road at pretty much any given time since 2020. and it's a bit of a gas guzzler, i think. it's sort of eight kilometers per liter out of it. and your role in electrifying this vehicle has made you woman of the year, according to usa today, and put you on the cover of time magazine. were you expecting all the fuss? for myself personally, definitely not. not expecting any of that because it's just surreal. but for the vehicle itself, we did expect a lot of us because of the fact that it is f—series and because of it being basically an iconic vehicle that's in a way

a tipping point for the industry because of what it represents. in a way, if you think about what this product is and how people use it, it's notjust electrifying this vehicle, but also changing the way that people might perceive what an ev can be. trucks are generally known for being very masculine and work oriented and being able to get things done, so people use it almost in a way as a tool. whereas an ev, a lot of people think of it as an eco vehicle. those two things don't always go together perfectly. a lot of people have told me that's an oxymoron. there's no way you can have an ev truck. so a lot of it has really been trying to convince people that it can be tough and that this technology of electrification with the batteries as well as the motors actually can be more tough and in many ways a better tool for the customer.

i want to move on now to arjo. arjo, you work in engineering solar cars and again, no less ground—breaking here. i just want to talk about how you got drawn into that as the thing that you wanted to do. i understand that there is something called the solar vehicle race across australia. tell me about that and tell me about why you got into this field. yeah, actually, back in 2012, um, we were studying at the, uh, uh, technical university in, in eindhoven and we founded this, uh, this, this solar carteam to participate in the world solar challenge. but for the first time in 2013, when we competed for the first time was the first time they introduced a new class for vehicles that not just have to arrive from darwin to adelaide as fast as they can, but that were also scored on how many people you take, how practical the car is, and how much external energy you actually still need from the grid. so we took a year to design and build stella, the world's first solar powered family car, and raced it 3,000 kilometres through the desert of australia.

and that kind of set of set us up for for the next adventure for for lightyear. so a few years later, after we finished our studies and we had taken this car all over the world and we had hoped to sort of inspire the the industry to show that you can that is possible to build a car that drivesjust on the power of the sun. and it's really efficient, very lightweight. but it didn't really happen. so at some point we figured if we want to get this to the market, we're going to have to do it ourselves. and that's when we founded lightyear six years ago. and in this race that you took part in at the start of all of this, where you're racing across the australian desert in solar powered cars, i'm trying to imagine what this is. this isn't vehicles just creeping along the desert for weeks on end, is it? how fast are they going? so this is 3,000 kilometres in about five and a half days. uh, average speeds of i think 70 kph. top speeds. um, uh, well, it depends, uh, depends a bit, but between 80 and 90. it's really impressive.

jamie, now we've heard about electrification there. we've heard about solar panels. you're in the field of ai and autonomous vehicles. a lot of interest here. lots of hope. why has this become your thing? i've been interested in machines from an incredibly young age. i my interest started to seriously i grow in artificial intelligence i when i started studying my phd in computer vision. _ so computer vision is where you take images from a camera and you try. and understand what's in that image. that then led to working - at microsoft in their research labs and started working on products using ai. . and so i worked on the original kinect for xbox 360, _ where you would, we had this little camera and it would track your- motion so you could stand up in front of this camera - and move around. and the algorithms, the ai systems that we we built started _ to understand what you were doing | with your body and then translate i that into a representation . that the xbox and the game could then understand and used to control. . and that interest has sort

of evolved ever since. - and the field of ai in general has sort of really advanced _ over the last 20 years. so everyone, in the phone - in your pocket will have all sorts of ai algorithms improvingj the quality of your photos, recognizing text, etc. . linda, i want to come back to the iconic f—iso pick—up truck. that vehicle is very much about power. huge pick—up truck, huge footprints, huge petrol engine, diesel engine underneath it that you've pulled out and put electric innards into, but it still retains that power. just tell me a bit about how that works and how much power you can deliver out of electric motors and why that was a problem for you. yeah, absolutely. the power on this vehicle is actually great, 775 foot lbs of torque, which is higher, the highest out of any f—150, and it's 580 horsepower. it's also the quickest f—iso that we've ever built.

but a lot of people have a hard time even getting to that point because they view it as it's electric. so that was partly why we had to really work through changing some of those concepts. your initial power is actually really magnificent. it's near instant torque of 775, whereas with a traditional gas vehicle, you have the engine combustion, you have the gears in the transmission, and that torque actually has to grow. so you have a very different torque curve in a way. the difficulty with the ev is that maintaining towing in this case on a truck over time, that longevity, that fatigue is something that we had to work through with the cooling system and really making sure that the cooling was designed adequately to be able to tow and haul and do all the same things that current truck customers can do. moving on from that point, i what i really want to know

is you're from the netherlands, arjo. it's lovely when the sun is shining, when it's not all, it's pretty cloudy out there. what sort of range on average, can i expect out of your vehicle in in northern europe? it's an electric car. you can still charge it. so if you want to drive at night, it has a battery and you can drive 625 kilometresjust on the, on the battery. and then the solar panel continuously trickle charges this battery. and on a single day, if you're in the in the full sun and in a in a good place, you may add up to 70 kilometers of range from the sun. and that doesn't sound like a lot compared to the 625. but in practice, we don't use our car every day and we don't use it every day for very long trips while the solar system is always on. so the way to to look at it is how much do you get in a year? so in one year, even

in the netherlands, which is like a 5% versus countries in the world in terms of solar irradiance, you get up to 7,000 kilometers per year. so more than half of the energy that the car needs for an average driver actually comes from the sun. thank you so much, arjo. so jamie, autonomous cars. i can imagine them being great in sort of north american cities with grid—like structures set out like chess boards. here in london, less so. yeah, you're absolutely right. there's a huge challenge - to solving autonomous driving in the the kinds of unstructured, complex, busy environments - that we have here in london- and in many cities across the world. indeed, the traditional technology stack sort of uses three, - three main pillars. one is mapping. so for these systems to work, - you send vehicles much like google, sends vehicles around the streets to to map out streetview - images so we can navigate ourselves. but for a vehicle autonomous vehicles, this needs - to be done at a much, | much higher precision. so we need sort of centimeter level detail maps of entire cities, - which is actually a remarkably

solvable problem, but very, l very expensive to do - and even worse to maintain. there's another limitation - with current approaches in terms of the sensors that get used. they're very expensive sensors, something called lidar, - which is a way of sending out beams of light, laser light _ and measuring the time for that light to reflect back. _ and that gives you a sense of how far things are away. _ that's a wonderful sensor. i love depth information. i used it in my own previous work, but it's very expensive, _ hard to integrate in the vehicles. so that's the second one. and the third one is| how the intelligence for these is set up. and today, most approaches - to autonomous driving are based on a very modular system where you sort of first try| and detect all the cars and the pedestrians . and the traffic lights and whatever else you think you need. -

and then you try, you'd have some hand—crafted rules. i so you'd say, if this happens. i'm going to do this. if this happens, i'm going to do this. i if you think about, you know, . the complexities of urban driving and the number of things that l are going on, thatjust becomes incredibly unwieldy, very, very quickly. i and so these these three areas have, i think, really held back— the industry and at wave we're really rethinking this - with a an alternative approach. so we we've decided - that we want to go after it, although it's a harder problem in the short term, we believe i it's much more scalable. so to avoid the need for maps, - we're going to avoid the use of very expensive sensors and relyl on cameras which are easy, relatively inexpensive, easy to integrate. - and, you know, we drive - with these two eyes every day. if i and finally, we're going to usei a more holistic what we call end to end machine learning approach, where we really teach the machine to drive by example rather than try

land code those rules in by hand. i thank you so much, jamie. now, arjo, we're going to come to you and and you've made such great strides with your prototype model of the lightyear solar car. it's expensive. what i really want to know is when am i going to be able to afford one? when are we going to get to a commercially viable, affordable family size solar car? so it's a very fair question, right? we were founded with a mission to provide clean mobility for everyone. and obviously, the lightyear zero that we're selling now for 250,000 euros is clearly not for everyone. and the way to view this is this first car is really a technology demonstrator. we're building it in a very limited series. and this is also the main reason why this first car is so expensive. so the key is in scaling up, and that's what we plan on. 0n the road map for 2025, we plan to launch the lightyear two with similar specs in terms

of efficiency and range and how far you can go and the solar panel. but that one is going to have a starting price of 30,000 euros. we also have to look not just at the purchase price, but also at the total cost of ownership of owning a car like this. if you start with electrifying a vehicle, the fuel cost of actually having having to charge your car, they come down by about a factor of three to four. what we've done on top of that is make the car about the electric car about twice as efficient as most electric cars on the road today. then we create half of that energy that the car needs for the average person from the solar panels. with that, we're getting into the range of what a median family in europe could afford. jamie, i think the challenge for you is different, isn't it, in your, in many ways it's over promise, really. i mean, there's a lot said about autonomous vehicles, about what we can hope to have. they're not even legal in most countries at the moment.

so you're the chief scientist at wave. set some realistic expectations here. what can i really expect to see in the medium term future, you know, before we get to the bit where the robots take over the world. so you're absolutely right. the there have been many unrealistic expectations set by sort of names - you will all have heard of saying it's just around the corner, - it's just around the corner. that'sjust simply not how it's going to be. i it's going to be - a gradual transition. it's going to take time. i would liken it to the transition, let's say, between the horse - and cart and the automobile 100 years ago or so _ right. it happened pretty quickly l in the grand scale of things. but, you know, incrementally, day on day, it was sort - of a gradual process, _ but accelerated as the economics and the safety and all the other things that came with such - a transition came came to bear. it will certainly be - a multi—yearjourney, but i would very much hope and expect strongly that.

by the end of this decade, we will be seeing this- in very mainstream use. end of this decade, i'll come find you and find out. 0k. all right. arjo, what's your perspective on this? so i'm going to go back to the to the mission statement of lightyear again. and so clean mobility for everyone. and we talked a bit about the cost of ownership of a car that you buy. and the biggest factor right now is purchase price. and i think that's where autonomous driving is going to really help the key to cost down is sharing, making sure that we use the car with a lot more people because it's standing still 90% of the time. and the key to making sharing convenient, i think that's where autonomous driving comes in by making sure the car acts like an uber without a driver that you that you call within two minutes, it's in front of the door and you go there and if you want to bring your drywall panels and an f—150 pulls up and if you want

to take the entire family and you're your all your kids, the minivan pulls up and if you're just by yourself, maybe a super small, super efficient thing pulls up. that way we can drastically reduce the cost per per kilometre of actually driving. so i think that's that's where autonomous driving comes in. but it has to progress before this happens. it has to progress to the point where we price autonomous driving based on its cost and not only its potential value. because i think the first companies who are going to be able to to offer the service of autonomous driving, they're going to say, we're replacing a taxi driver. taxi driver costs x cents per kilometre. so we take 10% off and we can make a hell of a lot of money because we need to earn back the 100 billion we invested. so until we get that cost down really to what it actually costs to operate, plus a small margin, then i think we'll start to see this autonomous mobility on demand really being a lot cheaper than than owning a car and a big switch. and that should enable our mission again, if we make sure those cars

are electric or solar. thank you. linda, of course, electrical vehicles in general help with emissions and help even more when they're proud of the electricity that comes from renewable resources. all this is great, but the batteries are a problem, aren't they? i mean, they contain a lot of rare earth metals that need to be mined at scale. for example, lithium is a key component. and you get that out of mine, say, for example, in chile's atacama desert. is there a plan in place to mitigate those sort of environmental threats that come from from electric vehicle technology? yes, absolutely. i think mining responsibly is very important. and that's one of the things that ford we're very attuned to. we've joined some of the coalitions to help ensure that we are mining responsibly. and i think you're absolutely right that electric vehicles in general are better and more sustainable for the environment.

a recent study out of university of michigan actuallyjust went through some of the data. and for north america, evs from a lifecycle perspective, cradle to grave, including all the manufacturing, the lithium and batteries still result in 64% less of harm to the planet than a traditional gas vehicle would. so i think there's definitely improvements there. and we, as we as companies and we as individuals need to make sure that we do it responsibly. and as we get into cleaner energy to down the road, that 64% of an improvement will obviously increase and that needs to increase very quickly. thank you so much. now, who in the audience would like to ask us a question of any of our amazing panelists today? my name is suki.

i have a question. i have more than one. but, linda, first of all, you said about the fuel cells. ijust have a quick question, because i know with ford f—150, how much of a big vehicle it is. how are you able to get people to really adopt the use of electric in places like rural pennsylvania, upstate new york, where we are very much a hunting environment, where we put beers, we put deer and everything else into the back of the vehicle. how are you able to get that uptake? well, so i think a lot of it is really about making sure that the truck does exactly what a truck needs to do. so an f—150 lightning can tow it, can haul it, can do all the same things that a gas f—150 can. but in addition to it, we actually offer a lot more. for one, we're leveraging the battery to provide electricity for customers, particularly in roll—out in electrical outage situations.

we can actually use it for a home for multiple days at a time. also, without the engine, we're able to take advantage of that space up front and basically turn it into a front trunk. and then, of course, performance in the vehicle is just outstanding. with an ev, you get that near instant torque that we talked about earlier, which gets you zero to 60 miles per hour in mid four seconds. i mean, it's fast. so. so we've got a question from gilbert in lebanon now coming through on the video link. so, gilbert, if you could unmute your microphone and and give us your question. my question is, why was the light year zero released so late? it was expected much earlier. so thorny question there for arjo. why was it solid?

why was the light year so late? so we set out to build a dispersion car a six years ago when we founded the company. but we were five guys straight out of college. we didn't have any money. we didn't have any experience. so besides having to engineer the car, we also had to build the company. how do you make a car? next time we do it we _ how do you make a car? next time we do it we have — how do you make a car? next time we do it we have a clear process and we know _ do it we have a clear process and we know how _ do it we have a clear process and we know how to — do it we have a clear process and we know how to get there. along the way, _ know how to get there. along the way, we — know how to get there. along the way, we met a lot of challenges. we talked _ way, we met a lot of challenges. we talked about one such is a solar paneh — talked about one such is a solar paneh a— talked about one such is a solar panel. a lot of testing have got those _ panel. a lot of testing have got those reliable and working. so overall. — those reliable and working. so overall. i— those reliable and working. so overall, i think the first question is when — overall, i think the first question is when we — overall, i think the first question is when we first heard of a company and five _ is when we first heard of a company and five inexperienced guys, we

usually— and five inexperienced guys, we usually underestimate the challenge of getting the current production. maybe _ of getting the current production. maybe that is a good thing because if we hadn't i don't know if we would — if we hadn't i don't know if we would have started it. it's really hard _ would have started it. it's really hard to— would have started it. it's really hard to start a car company. i think that is— hard to start a car company. i think that is the — hard to start a car company. i think that is the best to your question. 0ne that is the best to your question. one last — that is the best to your question. one last question in the room here and i'm going to look around. the lady of the left here. i and i'm going to look around. the lady of the left here.— lady of the left here. i have a question _ lady of the left here. i have a question for _ lady of the left here. i have a question forjamie _ lady of the left here. i have a question forjamie about - lady of the left here. i have a question forjamie about al. | lady of the left here. i have a i question forjamie about al. we heard in the news this week about sandy and aware ai and is concerned about that. do you think is the ai will increase your get bored of driving? will increase your get bored of drivin: ? ~ ~ ., �*, will increase your get bored of drivinu? ~ ~ ., �*, ., driving? well, i think that's a fascinating — driving? well, i think that's a fascinating question - driving? well, i think that's a fascinating question and - driving? well, i think that's a i fascinating question and rather driving? well, i think that's a . fascinating question and rather a philosophical— fascinating question and rather a philosophical one _ fascinating question and rather a philosophical one perhaps. - fascinating question and rather a philosophical one perhaps. the i fascinating question and rather a i philosophical one perhaps. the way that at _ philosophical one perhaps. the way that at systems _ philosophical one perhaps. the way that al systems today _ philosophical one perhaps. the way that al systems today work - philosophical one perhaps. the way that al systems today work and - philosophical one perhaps. the way that al systems today work and will work for _ that al systems today work and will work for the — that al systems today work and will work for the foreseeable _ that al systems today work and will work for the foreseeable future - that al systems today work and will work for the foreseeable future as i work for the foreseeable future as they are _ work for the foreseeable future as they are essentially, _ work for the foreseeable future as they are essentially, what - work for the foreseeable future as they are essentially, what a - work for the foreseeable future asl they are essentially, what a neural network _ they are essentially, what a neural

network is — they are essentially, what a neural network is is — they are essentially, what a neural network is is essentially— they are essentially, what a neural network is is essentially a - they are essentially, what a neural network is is essentially a bunch . they are essentially, what a neuralj network is is essentially a bunch of multiplications _ network is is essentially a bunch of multiplications and _ network is is essentially a bunch of multiplications and additions. - multiplications and additions. that's— multiplications and additions. that's att— multiplications and additions. that's all that _ multiplications and additions. that's all that is, _ multiplications and additions. that's all that is, literally. - multiplications and additions. l that's all that is, literally. and so the — that's all that is, literally. and so the graphics— that's all that is, literally. and so the graphics processing - that's all that is, literally. and| so the graphics processing unit that's all that is, literally. and - so the graphics processing unit that is used _ so the graphics processing unit that is used to— so the graphics processing unit that is used to evaluate _ so the graphics processing unit that is used to evaluate these _ so the graphics processing unit that is used to evaluate these artificial. is used to evaluate these artificial neural— is used to evaluate these artificial neural networks, _ is used to evaluate these artificial neural networks, they— is used to evaluate these artificial neural networks, theyjust - is used to evaluate these artificial neural networks, theyjust sit - neural networks, theyjust sit there. — neural networks, theyjust sit there. churn— neural networks, theyjust sit there, churn all— neural networks, theyjust sit there, churn all day, - neural networks, theyjust sit there, churn all day, doing i neural networks, theyjust sit i there, churn all day, doing very, very— there, churn all day, doing very, very basic— there, churn all day, doing very, very basic mathematical- there, churn all day, doing very, i very basic mathematical calculations and outcomes— very basic mathematical calculations and outcomes the _ very basic mathematical calculations and outcomes the answer. _ very basic mathematical calculations and outcomes the answer. so - very basic mathematical calculationsj and outcomes the answer. so unless there _ and outcomes the answer. so unless there are _ and outcomes the answer. so unless there are fundamental— and outcomes the answer. so unless there are fundamental changes i and outcomes the answer. so unless there are fundamental changes in. and outcomes the answer. so unless i there are fundamental changes in how these _ there are fundamental changes in how these systems— there are fundamental changes in how these systems operate, _ there are fundamental changes in how these systems operate, which- there are fundamental changes in how these systems operate, which is- these systems operate, which is entirely— these systems operate, which is entirely possible _ these systems operate, which is entirely possible in _ these systems operate, which is entirely possible in terms - these systems operate, which is entirely possible in terms of i entirely possible in terms of research _ entirely possible in terms of research breakthroughs, i entirely possible in terms of . research breakthroughs, there entirely possible in terms of i research breakthroughs, there is entirely possible in terms of - research breakthroughs, there is no chance _ research breakthroughs, there is no chance in— research breakthroughs, there is no chance in my— research breakthroughs, there is no chance in my mind _ research breakthroughs, there is no chance in my mind that _ research breakthroughs, there is no chance in my mind that these i research breakthroughs, there is no| chance in my mind that these things will get _ chance in my mind that these things will get bored — chance in my mind that these things will get bored in _ chance in my mind that these things will get bored in a _ chance in my mind that these things will get bored in a sense _ chance in my mind that these things will get bored in a sense because i will get bored in a sense because they are — will get bored in a sense because they are just— will get bored in a sense because they are just doing _ will get bored in a sense because they are just doing the _ will get bored in a sense because they are just doing the job, i will get bored in a sense because i they are just doing the job, they're 'ust they are just doing the job, they're just executing _ they are just doing the job, they're just executing again _ they are just doing the job, they're just executing again and _ they are just doing the job, they're just executing again and again i just executing again and again through— just executing again and again through these _ just executing again and againj through these multiplications. just executing again and again i through these multiplications. loire through these multiplications. love that question- _ through these multiplications. love that question. which _ through these multiplications. that question. which brings us perfectly, really, to the end of this programme. we have heard but everything from the future of solar

and electric vehicles and ai and even touching on the first ai strike, i think, even touching on the first ai strike, ithink, on even touching on the first ai strike, i think, on behalf of the bbc world service, whether you are joining us on the internet, round the world with this in this fabulous information age gallery, please join me in giving a warm round of applause to our brilliant pioneering engineers, jamie shotton, arjo and linda.

good afternoon. it is hot and it is dry. when will it change? in terms of the heat it looks like that will ease next week. the rain is more sporadic arriving across the uk. extreme heat warnings stay in force across england, into the mid wales for the remainder of the weekend. there is some cooler weather to the far north of the uk under this cloud for the northern hours this afternoon but elsewhere temperature is above average with a potential peak of 36 somewhere in the south—east in the next hour or so. on into the evening we continue with 0n into the evening we continue with plenty of sunshine. it will remain warm for many overnight, cloud fills in the ghent across eastern scotland and the coast of the north east of england training murky by the end of the night. for northern ireland in the night. for northern ireland in the south—west of england, some showers arriving towards the end of the night, but through the course of the night, but through the course of the day on sunday, it could turn heavy, certainly through the morning across northern ireland and spreading across into scotland come the afternoon. locally intense downpours here and isolated and

potentially thundery downpours further south across wales in western england. still hot for many. this is bbc news. i'm luxmy gopal and these are the latest headlines. writers and politicians condemn an attack on acclaimed author, an attack on acclaimed author sir salman rushdie, who's now on a ventilator, after being stabbed on stage in the us state of new york. his agent says the 75—year—old can't speak, is likely to lose an eye, has a damaged liver, and the nerves in one arm have been severed in the attack. more extreme heat is expected in the southern half of the uk over the next two days. that, as experts also warn england's drought could last into the next year. travel disruption after thousands of train drivers from 9 rail companies go on strike across the uk today. it's the latest walk—out in a row over pay and conditions. documents in the us show fbi agents seized papers marked "top secret" when they searched the florida home of the former president

donald trump on monday. the search warrant shows he's being investigated over possible