the eruption is closer to the fishing town than a similar eruption last month. the local authorities have declared an emergency in the area around a0 kilometres from iceland's capital, reykjavik. 100 days after hamas attacked israel, triggering war in gaza, relatives of the hostages taken on that dayjoin a rally in tel aviv. the head of the un's agency for palestinians has described the death and destruction since october the seventh as a stain on our shared humanity. in the last half an hour queen margrethe of denmark has abdicated after more than half a century on the throne. the crown passes to her son, frederik. now on bbc news...click.

this week we are riding wheels of steel with a swedish scooter that is flat pack as is furniture. we steel with a swedish scooter that is flat pack as is furniture.— flat pack as is furniture. we dance with the metal. _ flat pack as is furniture. we dance with the metal. joe _ flat pack as is furniture. we dance with the metal. joe is _ flat pack as is furniture. we dance | with the metal. joe is investigating the future of _ with the metal. joe is investigating the future of passwords _ with the metal. joe is investigating the future of passwords and - the future of passwords and passcodes and they are looking a little different. it is passcodes and they are looking a little different.— little different. it is probably not enou:h little different. it is probably not enou . h to little different. it is probably not enough to fool _ little different. it is probably not enough to fool you, _ little different. it is probably not enough to fool you, but - little different. it is probably not enough to fool you, but a - little different. it is probably not i enough to fool you, but a machine. aia in agriculture, how agriculture —— how ai is helping agriculture. and the robot that... imilli -- how ai is helping agriculture. and the robot that. . ._ -- how ai is helping agriculture. and the robot that... will be able to cather and the robot that... will be able to gather many — and the robot that... will be able to gather many things. _

scooters. they're lean, nifty, greener than cars — really green if they're electric. but there's one thing about them that could still be greener — the way they're made and what they're made from. this is stilride 1. it has one very unusual feature — its chassis is made from one piece of steel. all the curves, all the lines have

been folded like origami. it follows a design by their creator. ~ . ., creator. with curve folding, we dance with _ creator. with curve folding, we dance with the _ creator. with curve folding, we dance with the metal. - the reason is notjust about aesthetics. see, a typical scooter is assembled in special factories from more than 100 parts and then, it's shipped around the world. but for this bike, all that would need to be sent anywhere is the design. because a bike — if you would send a bike in a crate, you're shipping air. you don't want to ship air. whether you're in sweden, you're in england, you'll probably find sheet metal, right? so, it's better to send the code rather than to send yourfinal product. that's a very, very efficient way to do it, you know? so, you want to produce near the end customer. i've been given permission to fire the laser.

the plan is for locally sourced steel to be laser—cut into a flat chassis pattern and then for robots to bend it into the right shape — like these ones are currently doing for other simpler objects. all in all, there are 15 components, including a saddle that also starts life flat. and once it's all been folded up, it comes here to be welded, and it looks like this. while the design is still being perfected, the prototypes are bent manually. the curved folds in particular are hard to get your head around. stilride has developed its own software to calculate how to get the shapes that they need with help from a hand—cranked folding machine — back at the office, that is. but i know what you're thinking — without all those bolts and screws and separate supports,

can a folded piece of metal be strong enough to ride around on? if you put a straight fold into a material, it doesn't become that strong because even if you lock one side of the fold, it can carry on bending, like that. but if you put a curved fold into a material, then as you change the shape on one side of the fold, it forces the other side into a particular shape, too. and that means if you lock this side into position, the whole structure becomes rigid. the best example i've seen of that is your french fries container, which is pretty flimsy when you're only using the straight folds on the edge. but there are two curved folds on the bottom and if you engage those, the whole thing locks into place and your chips don't fall out. the bike that we created now — or the chassis that we've done for the stilridei — compared to a competitor bike, it's a tubular frame, a typical scooter.

we created a chassis that's even 50 times stronger or more stiff, rigid than the tubular frame. stilride has bigger ambitions than just two wheels of steel. parts of larger vehicles could also be made this way, along with the footings for wind turbines that would imitate tree roots. and really? whole bridges? well, maybe sections. well, maybe sections. one step at a time, though. the scooter goes into production later this year and it'll cost 15,000 euros. that was bringing back memories of trying to build flat pack furniture. if i was to ask you your mother's maiden name and the place that you

were born in the name of yourfirst pet, would you tell me? ida! were born in the name of your first pet, would you tell me? no! correct. because? you _ pet, would you tell me? no! correct. because? you would _ pet, would you tell me? no! correct. because? you would have _ pet, would you tell me? no! correct. because? you would have enough i pet, would you tell me? no! correct. because? you would have enough to| because? you would have enough to reset my password. bud because? you would have enough to reset my password.— reset my password. and then we've realised that _ reset my password. and then we've realised that we've _ reset my password. and then we've realised that we've got _ reset my password. and then we've realised that we've got so _ reset my password. and then we've realised that we've got so many - realised that we've got so many passwords and so many website you don't know what with desperate what goes with which. but. don't know what with desperate what goes with which.— goes with which. but, we might be able to leave _ goes with which. but, we might be able to leave passwords _ goes with which. but, we might be able to leave passwords behind - able to leave passwords behind because there is work being done on passwords without passwords. it's where your phone will vouch for you, they are called pass keys. here comes joe in a they are called pass keys. here comesjoe in a mask and a wig. passkey. passkey. comes joe in a mask and a wig. passkey. passkey.— comes joe in a mask and a wig. passkey. passkey. comes joe in a mask and a wig. passke . passke . ., ., . passkey. passkey. you might not have heard of them. — passkey. passkey. you might not have heard of them, but _ passkey. passkey. you might not have heard of them, but pass _ passkey. passkey. you might not have heard of them, but pass keys - passkey. passkey. you might not have heard of them, but pass keys are - heard of them, but pass keys are how we stay safe online. dozen of internet sites hope that this will finally kill off the password. what are pass keys and why are they a step up from what we've been doing all these heres? if you think about pass keys on a door, you get in by

putting your pass code. this is obviously insecure. because all the other person needs code or the password and they are in. the passkey acts a little bit like a keycard, it checks who i am as well as if i have the right code. but with pass keys, it is all done on a device and a clever encryption. setting up a passkey takes a few minutes to make the online service asks you to identify your identity from the device it's not hard, but it is more of a hassle to set up than a password. wise's huge shift taking place and is it worth it? well, passwords have always been a terrible way to keep us safe. how bad our passwords as a security measure?— measure? also. i would say if a company _ measure? also. i would say if a company is _ measure? also. i would say if a company is restricting - measure? also. i would say if a company is restricting things i measure? also. i would say if a l company is restricting things only bypass what your 100% vulnerable. this woman is a hacker for the good

guys. she's been breaking into compare companies for your to help them improve. compare companies for your to help them improve-— compare companies for your to help them improve. nine out of ten times ou to them improve. nine out of ten times you go into — them improve. nine out of ten times you go into an _ them improve. nine out of ten times you go into an environment - them improve. nine out of ten times you go into an environment i - them improve. nine out of ten times you go into an environment i tried i you go into an environment i tried the password winter 2023, you're going to get a few accounts. we find that people frequently use seated passwords. and then across every passwords. and then across every password theyjust passwords. and then across every password they just change passwords. and then across every password theyjust change it minuscule amount. password they just change it minuscule amount.- password they just change it minuscule amount. pass keys are auoin to minuscule amount. pass keys are going to help _ minuscule amount. pass keys are going to help things? _ minuscule amount. pass keys are going to help things? yes. - minuscule amount. pass keys are going to help things? yes. it i minuscule amount. pass keys are going to help things? yes. it will| going to help things? yes. it will make your _ going to help things? yes. it will make yourjob — going to help things? 1a; it will make yourjob harder. going to help things? yes. it will make yourjob harder. yes, i make your 'ob harder. yes, definitely— make yourjob harder. yes, definitely harder, _ make yourjob harder. yes, definitely harder, but i make yourjob harder. yes, definitely harder, but the i make yourjob harder. yes, i definitely harder, but the field make yourjob harder. 1a: definitely harder, but the field is always changing.— definitely harder, but the field is alwa schanrain. ~' i, always changing. pass keys will make thins more always changing. pass keys will make things more secure _ always changing. pass keys will make things more secure if— always changing. pass keys will make things more secure if you _ always changing. pass keys will make things more secure if you are - things more secure if you are willing to put the work in. you have got to have really complex passwords across every different online service, impossible to remember and then you need a password manager, then you need a password manager, then you need to have multifactor authentication as well. so if you're trying to login on the service you

don't normally have on this device, it is a hassle. of course this has been difficult to get the larger public to do all of this. whether we like it or not, the future of logging in online is through our phones with thumbprints, pin codes and increasingly facial id. but how safe is your face? well here and increasingly facial id. but how safe is yourface? well here in and increasingly facial id. but how safe is your face? well here in the fraud lab they think like criminals and try to trick login services and improve security. it is probably not enough to fool you, but a platform machines. ., ., ,, ., , , machines. you can make the two dd version very — machines. you can make the two dd version very easily _ machines. you can make the two dd version very easily at _ machines. you can make the two dd version very easily at home. - machines. you can make the two dd version very easily at home. it i machines. you can make the two dd version very easily at home. it is i version very easily at home. it is very unsophisticated, it is low—tech. these masks vary in quality. the trick as it might look like some of the people on the document, but what we have found

increasingly that we have found more and more confessionalfraudsters. and more confessional fraudsters. they and more confessionalfraudsters. they want to ramp it up. they want to be doing 700 checks or attempts. instead of using masks they use deepfakes on the biometric side of things. i deepfakes on the biometric side of thins. ., deepfakes on the biometric side of thins. . ., i. deepfakes on the biometric side of thins. . ., ,, if deepfakes on the biometric side of things-_ if you - deepfakes on the biometric side of| things._ if you smile, things. i am now you. if you smile, ou will things. i am now you. if you smile, you will have _ things. i am now you. if you smile, you will have my — things. i am now you. if you smile, you will have my smile. _ things. i am now you. if you smile, you will have my smile. that i things. i am now you. if you smile, you will have my smile. that is i things. i am now you. if you smile, you will have my smile. that is my| you will have my smile. that is my smile. that is the weird thing the photo does not have my smile on it. because you sent us a single front on shot, this is not from the video. this is from a still picture. yes. now we are _ this is from a still picture. yes. now we are both _ this is from a still picture. yes. now we are both you. - this is from a still picture. yes. now we are both you. come i this is from a still picture. yes. | now we are both you. come and this is from a still picture. yes. i now we are both you. come and have this is from a still picture. yes. - now we are both you. come and have a look. now we are both you. come and have a look- come _ now we are both you. come and have a look- come be — now we are both you. come and have a look. come be me. _ now we are both you. come and have a look. come be me. that _ now we are both you. come and have a look. come be me. that is _ now we are both you. come and have a look. come be me. that is joe - now we are both you. come and have a look. come be me. that is joe the i look. come be me. that is joe the cameraman- _ look. come be me. that is joe the cameraman. the _ look. come be me. that is joe the cameraman. the speed _ look. come be me. that is joe the cameraman. the speed of - look. come be me. that is joe the i cameraman. the speed of innovation in fraud is always _

cameraman. the speed of innovation in fraud is always warring _ cameraman. the speed of innovation in fraud is always warring but - cameraman. the speed of innovation in fraud is always warring but never l in fraud is always warring but never more so than in the last year as deepfake tech has become more sophisticated and readily available. if you look around the edge of the screen you can see... i if you look around the edge of the screen you can see. . ._ screen you can see... i was 'ust auoin to screen you can see... i was 'ust going to ask�* screen you can see... i was 'ust going to ask how i screen you can see... i was 'ust going to ask how you i screen you can see... i was 'ust going to ask how you spot i screen you can see... i wasjust going to ask how you spot it, i screen you can see... i wasjust. going to ask how you spot it, but you can see a little bit of this pattern. it you can see a little bit of this attern. . you can see a little bit of this attern. , , ., ., ,., pattern. it is distortion. if you look around _ pattern. it is distortion. if you look around the _ pattern. it is distortion. if you look around the edge - pattern. it is distortion. if you look around the edge of i pattern. it is distortion. if you i look around the edge of my face, when i move, sometimes you can see there is a bit of a distortion as it switches. . . there is a bit of a distortion as it switches. , , ., switches. this is the thing... you are obviously _ switches. this is the thing... you are obviously trained _ switches. this is the thing... you are obviously trained for - switches. this is the thing... you are obviously trained for this. i switches. this is the thing... you | are obviously trained for this. and it is becoming _ are obviously trained for this. and it is becoming harder and harder for people. _ it is becoming harder and harder for people, human beings to spot this which _ people, human beings to spot this which is _ people, human beings to spot this which is why we are training machines— which is why we are training machines to do it p back even with advances— machines to do it p back even with advances in— machines to do it p back even with advances in deepfake, things like facial— advances in deepfake, things like facial iii— advances in deepfake, things like facial ii) is— advances in deepfake, things like facial id is an improvement on passwords. facial id is an improvement on passwords-— facial id is an improvement on asswords. ., , passwords. nothing will ever be hacker proof. — passwords. nothing will ever be hacker proof, but _ passwords. nothing will ever be hacker proof, but pass - passwords. nothing will ever be hacker proof, but pass keys i passwords. nothing will ever be l hacker proof, but pass keys mean passwords. nothing will ever be i hacker proof, but pass keys mean it will be brighter for our futures online. i'm shiona mccallum and it's time

for a look at this week's tech news. apple has started paying out in a us class action lawsuit over claims it deliberately slowed down certain iphones. claimants could receive around $92 each from the $500 million settlement reached in 2020. apple said at the time it denied any wrongdoing but was concerned with ongoing legal costs. a new substance has been discovered which could reduce lithium use in batteries by up to 70%. the material has since been used to power a light bulb. we think that the opportunity for new energy technology, it will be absolutely amazing and it's absolutely required as well and so, it does fit into our sustainability goals. 0ld green cabinets usually storing broadband and phone cabling will be converted into electric vehicle charging points on some uk streets. with many of the metal cabinets nearing end of life, bt hopes up to 60,000 of them can be converted to help tackle shortfalls

in electric car chargers. and ces returned with transparent tvs, ai companions and more vr headsets among the gadgets on display in las vegas. tune back into click next week for a look at this year's techfest. ai is touching every part of our lives and the food that ends up on our table is no different, but could the tech really helped farmers transform the way that they produce crops? 0ur correspondent in india has been finding out. indian farmers have traditionally relied upon generational wisdom and experience to make decisions on the feed. they are now faced with climate change

and ever depleting resources, so the need is for them to have efficient and more sustainable solutions. can artificial intelligence be the answer? this vineyard in southern india is testing it out. by using devices that are removing guesswork in assessing conditions on the farm and with the crop. the in assessing conditions on the farm and with the crop.— in assessing conditions on the farm and with the crop. the whole system. at the to- and with the crop. the whole system. at the top there _ and with the crop. the whole system. at the top there are _ and with the crop. the whole system. at the top there are microclimate i at the top there are microclimate sensors which measures rainfall and wind direction. then you have solar sensors which measured sunlight exposure. then you have sensors for humanity to see how much moisture is on the leaf. and all that goes to the brain of the system. this company _ the brain of the system. this company uses _ the brain of the system. this company uses artificial i the brain of the system. this company uses artificial intelligence to analyse the data collected from the sensors. to analyse the data collected from the sensors-—

to analyse the data collected from the sensors. , , ~ _, , the sensors. this is where ai comes in to help analyse _ the sensors. this is where ai comes in to help analyse this _ the sensors. this is where ai comes in to help analyse this data. - the sensors. this is where ai comes in to help analyse this data. it i in to help analyse this data. it looks at the data that comes from the farm, it looks at what crop the farmer is growing, what is the requirement of that crop at that stage and it uses all this information and process it and reduces a certain outcome in simple language and manner that farmers can understand. ., ., ., , ., , , understand. through a mobile app, farmers receive _ understand. through a mobile app, farmers receive guidance _ understand. through a mobile app, farmers receive guidance on - understand. through a mobile app, farmers receive guidance on when l understand. through a mobile app, l farmers receive guidance on when to water the crops, spray pesticides. this farmer has been using this service daily on his vineyard to address a problem that happens to many indian farms.— many indian farms. there are no round many indian farms. there are no ground water— many indian farms. there are no ground water sources _ many indian farms. there are no ground water sources and i many indian farms. there are no ground water sources and we i many indian farms. there are no| ground water sources and we are growing it from water that we purchased outside of the farm. water is very precious for us. with the ai

data we are now able to know when the crops really need the water and do so only at the crucial stage and it saves on 50% of the water we use to give it. it saves on 5096 of the water we use to rive it. . . it saves on 5096 of the water we use to rive it. , ,., , it saves on 5096 of the water we use to rive it. , ,., i. ., to give it. this is only one part of decision-making, _ to give it. this is only one part of decision-making, weeding i to give it. this is only one part of decision-making, weeding out i decision—making, weeding out inefficiencies in the existing age old agricultural practices is also crucial. this robot is helping farmers save major costs on fertilisers and pesticides. this machine makes spraying chemicals more efficient. you are doing some precision spraying here. can you explain to us this technology and how the cameras work? this specific field here, there _ how the cameras work? this specific field here, there is _ how the cameras work? this specific field here, there is a _ how the cameras work? this specific field here, there is a lot _ how the cameras work? this specific

field here, there is a lot of— field here, there is a lot of distance between two rows. and even between two plants there is significant distance where there is nothing to be sprayed. as the sprayer moves, the camera real—time detects where the spray should be applied, specifically on the plant. and it turns off the nozzles where there are no plans. bhd and it turns off the nozzles where there are no plans.— and it turns off the nozzles where there are no plans. and that saves over 5096 of _ there are no plans. and that saves over 5096 of costs _ there are no plans. and that saves over 5096 of costs of _ there are no plans. and that saves over 5096 of costs of chemicals. i over 50% of costs of chemicals. these have been deployed on 50 farms but are limited to just seven crops and that is because the machine needs volumes of data which are photos of the plants to learn from and build models for each crop. {loafer and build models for each crop. over the last five — and build models for each crop. over the last five years _ and build models for each crop. over the last five years we _ and build models for each crop. of the last five years we have captured about 8.2 million images across seven crops and not only that, the numbers is impressive, but also how varied the data is. we have seen how the plant looks at seven in the morning versus 1pm and 5pm. witt�*s

it —— it is like very different plans. it -- it is like very different lans. ., . ., . ., , plans. conducting rural communities is very important _ plans. conducting rural communities is very important and _ plans. conducting rural communities is very important and the _ plans. conducting rural communities. is very important and the government is very important and the government is looking into that. the promise of profitability through data—driven farming need significant time and investment to reach the majority of india's farmers. next up we've been talking to a start up as they look to resolve two issues with what innovation. to resolve two issues with what innovation-— innovation. this is about an invasive _ innovation. this is about an invasive seaweed _ innovation. this is about an invasive seaweed which i innovation. this is about an i invasive seaweed which turns out innovation. this is about an - invasive seaweed which turns out to be a problem for marine life and people. there have been several incidences in the caribbean of people dying. people, get ready for this smell tomorrow. a seaweed called sargassum has been making headlines. out in the open ocean,

it provides a marine habitat but when it hits our coasts, it becomes problematic. from releasing gases which can be harmful to human health to impacting local tourism and fishing, these massive, buoyant mats, which stretch like a carpet across the atlantic, make up the great sargassum belt. being more than 5,000 miles long, it's wider than brazil. and last year, it weighed over 2a million tonnes, making it a continent—sized blob of seaweed. in fact, it is so vast that it's visible from space and scientists have been studying its explosion using satellite imagery. the exact reasons for the boom are unclear but it's believed that rising temperatures and agricultural waste are contributing to the excessive growth. and on the other side of the world,

there's a company trying to fight it. just like any other plant, seaweed photosynthesises. and because it absorbs carbon faster than trees, there's also a lot of potential. and a team here is using this to their advantage. they are building a semi—autonomous ocean robot to sink the sargassum and the c02 it captures to the bottom of the sea. doing so, they prevent sargassum from hitting shores whilst fighting global warming. the ipcc has projected in their most optimistic pathway, which is 1.5 degrees or less, that we will need to remove from the atmosphere ten billion tonnes of carbon every single year by 2050, which would be in terms of volume the largest industry that has ever existed. if you're looking for a good place to put carbon, the deep ocean is perfect. you have more carbon than there is the upper ocean and the entire terrestrial sphere combined.

the algaray is designed to go across the surface of the water and take the sargassum into its cavity, much like it's doing with these ducks here. once it's full, it dives down to 200m, at which point the water pressure crushes the air bladders that keep it afloat and the sargassum sinks down to the seabed. there it's locked away for many hundreds, if not thousands, of years. the first version of the algaray was attached to a remote—controlled catamaran, whereas the final version is going to be a 10m—long submersible powered by green energy. bagpipes skirl. the whole thing is going to be covered in solar panels... 0h, 0k. ..so there'll be quite

a bit of available energy to drive sensors. so in here already, we've got depth temperature and a camera on the front. and then, in the future, we'll be able to gather, like, information about wind speeds, temperatures on the surface and map everything. using this information, they are creating machine learning training data which will then enable the algaray to increasingly make its own decisions, such as coordinating with other algarays to gather the mats. but for now, it's time to test the second prototype. cheering. applause. that was relatively quick but that's not how it's going to be in the end? this is only going down to 3m, so it should actually only take a couple of minutes to go down. in the field, the whole thing would be a ten—minute cycle.

the aim is for it to be buried, to go into that long carbon cycle. it's sort of like saying, "we're making the oil "of the future." anything that was oil was once marine biomass, so it makes a lot of sense to us to start using that as one of the pathways that you could use to get to large—scale carbon dioxide removals but also unlock this tremendous opportunity, but also this tremendous need to rebalance our atmosphere. it's a start—up in its infancy and one company alone cannot solve the problem but facing the threats of global warming, it's another innovation to help win the race against climate change. that is it for this week, but next week how we got a show for you. it is the biggest tech show of the year, the consumer electronics show in las vegas. see you there. she

can't wait, i can't wait. hopefully we will see you there. hopefully see you in vegas. we will see you there. hopefully see you in vegas-— hello there. winter weather has well and truly arrived across the country and it's going to stay with us for most of this week. in fact, yes, it will get colder. we'll have some snow showers mostly in the far north, but widespread sharp overnight frosts. now we've got a series of weather fronts sinking south and that's opening the doorfor this cold air to flood down all the way from the arctic. it's already arrived in scotland. we've got gusts of wind 60 to 70 miles an hour in the northern isles. blizzard conditions here. some snow showers on exposed north coast, but some sunny spells into scotland and northern ireland. a weak weather front sits its way across england and wales. so i've drawn that on.

so you can see there's going to be a fair amount of cloud, we'll be chasing cloud around and maybe the odd spot or two of light drizzly rain from it. but here, not quite as cold. five to seven degrees. in the further north, we're looking at three or four at the very best. but that front sinks south. the skies will clear through the night tonight. temperatures fall away. we'll see a few scattered showers running down through the irish sea and some snow showers starting to see snow accumulating in the far north of scotland. temperatures here could get as low as —7. so a cold start first thing to monday morning, but hopefully there will be some sunshine around as well. wind direction still coming from the north. so any exposed coasts at risk of seeing a wintry mix of rain, sleet and snow across england. but it will be snow in scotland and factor in gusts of winds widely 20 to a0 miles an hour. it really is going to feel raw out there, even if you've got the sunshine. your thermometers may just say a couple of degrees above freezing, but it will probably feel more like —2 to —6 degrees in some areas. so a bitterly cold day on monday.

as we go into tuesday, we could see perhaps more enhanced snow from this little weather front that's pushing in from the far northwest. so snow showers continue into the north, but a spell of perhaps more prolonged snow across central and southern scotland. a wintry mix of rain, sleet and snow into northern ireland and northwest england. anywhere south of that will be relatively dry, still cold, but that's where we'll see some sunshine. top temperatures of two to five degrees. how long will this cold weather last? well, wednesday, we could still see a few wintry showers around, but towards next weekend, it gets milder but wetter.

live from london, this is bbc news. a volcano erupts in iceland — the fifth occurrence on the reykjanes peninsula since 2021. this is the scene live in iceland, as molten lava spews from the ground. 100 days after hamas attacked israel, triggering war in gaza, relatives of the hostages taken on that dayjoin a massive rally in tel aviv.

hello. denmark has a new king and he is about to be greeted by tens of thousands of people who have gathered in the danish capital, copenhagen. the crown passed to frederik the tenth when his mother, queen margarethe signed the instrument of abdication after more than 50 years on the throne. queen margrethe, who's 83, has now left christiansborg castle and is the first danish monarch to voluntarily renounce the throne in more than 800 years. daniela relph is live now from copenhagen. that moment has not happened, change that moment has not happened, change the throne. that is that moment has not happened, change the throne. . . that moment has not happened, change the throne. . , ., , ., the throne. that is right, what you are seeinr the throne. that is right, what you are seeing now — the throne. that is right, what you are seeing now is _ the throne. that is right, what you are seeing now is the _ the throne. that is right, what you | are seeing now is the proclamation of the new king. that is the danish

prime minister in