Serbia: N1 Serbia

20260920 03:30 UTC · 00:31:00 · 421 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

Film strip

One frame every 4 seconds, 466 in all. Click a frame to jump the transcript to that moment, or click a line of the transcript to see what was on screen while it was said. Served from apprised.news, so it loads behind proxies that block Google Cloud Storage.

00:00:00
00:00:04
00:00:08
00:00:12
00:00:16
00:00:20
00:00:24
00:00:28
00:00:32
00:00:36
00:00:40
00:00:44
00:00:48
00:00:52
00:00:56
00:01:00
00:01:04
00:01:08
00:01:12
00:01:16
00:01:20
00:01:24
00:01:28
00:01:32
00:01:36
00:01:40
00:01:44
00:01:48
00:01:52
00:01:56
00:02:00
00:02:04
00:02:08
00:02:12
00:02:16
00:02:20
00:02:24
00:02:28
00:02:32
00:02:36
00:02:40
00:02:44
00:02:48
00:02:52
00:02:56
00:03:00
00:03:04
00:03:08
00:03:12
00:03:16
00:03:20
00:03:24
00:03:28
00:03:32
00:03:36
00:03:40
00:03:44
00:03:48
00:03:52
00:03:56
00:04:00
00:04:04
00:04:08
00:04:12
00:04:16
00:04:20
00:04:24
00:04:28
00:04:32
00:04:36
00:04:40
00:04:44
00:04:48
00:04:52
00:04:56
00:05:00
00:05:04
00:05:08
00:05:12
00:05:16
00:05:20
00:05:24
00:05:28
00:05:32
00:05:36
00:05:40
00:05:44
00:05:48
00:05:52
00:05:56
00:06:00
00:06:04
00:06:08
00:06:12
00:06:16
00:06:20
00:06:24
00:06:28
00:06:32
00:06:36
00:06:40
00:06:44
00:06:48
00:06:52
00:06:56
00:07:00
00:07:04
00:07:08
00:07:12
00:07:16
00:07:20
00:07:24
00:07:28
00:07:32
00:07:36
00:07:40
00:07:44
00:07:48
00:07:52
00:07:56
00:08:00
00:08:04
00:08:08
00:08:12
00:08:16
00:08:20
00:08:24
00:08:28
00:08:32
00:08:36
00:08:40
00:08:44
00:08:48
00:08:52
00:08:56
00:09:00
00:09:04
00:09:08
00:09:12
00:09:16
00:09:20
00:09:24
00:09:28
00:09:32
00:09:36
00:09:40
00:09:44
00:09:48
00:09:52
00:09:56
00:10:00
00:10:04
00:10:08
00:10:12
00:10:16
00:10:20
00:10:24
00:10:28
00:10:32
00:10:36
00:10:40
00:10:44
00:10:48
00:10:52
00:10:56
00:11:00
00:11:04
00:11:08
00:11:12
00:11:16
00:11:20
00:11:24
00:11:28
00:11:32
00:11:36
00:11:40
00:11:44
00:11:48
00:11:52
00:11:56
00:12:00
00:12:04
00:12:08
00:12:12
00:12:16
00:12:20
00:12:24
00:12:28
00:12:32
00:12:36
00:12:40
00:12:44
00:12:48
00:12:52
00:12:56
00:13:00
00:13:04
00:13:08
00:13:12
00:13:16
00:13:20
00:13:24
00:13:28
00:13:32
00:13:36
00:13:40
00:13:44
00:13:48
00:13:52
00:13:56
00:14:00
00:14:04
00:14:08
00:14:12
00:14:16
00:14:20
00:14:24
00:14:28
00:14:32
00:14:36
00:14:40
00:14:44
00:14:48
00:14:52
00:14:56
00:15:00
00:15:04
00:15:08
00:15:12
00:15:16
00:15:20
00:15:24
00:15:28
00:15:32
00:15:36
00:15:40
00:15:44
00:15:48
00:15:52
00:15:56
00:16:00
00:16:04
00:16:08
00:16:12
00:16:16
00:16:20
00:16:24
00:16:28
00:16:32
00:16:36
00:16:40
00:16:44
00:16:48
00:16:52
00:16:56
00:17:00
00:17:04
00:17:08
00:17:12
00:17:16
00:17:20
00:17:24
00:17:28
00:17:32
00:17:36
00:17:40
00:17:44
00:17:48
00:17:52
00:17:56
00:18:00
00:18:04
00:18:08
00:18:12
00:18:16
00:18:20
00:18:24
00:18:28
00:18:32
00:18:36
00:18:40
00:18:44
00:18:48
00:18:52
00:18:56
00:19:00
00:19:04
00:19:08
00:19:12
00:19:16
00:19:20
00:19:24
00:19:28
00:19:32
00:19:36
00:19:40
00:19:44
00:19:48
00:19:52
00:19:56
00:20:00
00:20:04
00:20:08
00:20:12
00:20:16
00:20:20
00:20:24
00:20:28
00:20:32
00:20:36
00:20:40
00:20:44
00:20:48
00:20:52
00:20:56
00:21:00
00:21:04
00:21:08
00:21:12
00:21:16
00:21:20
00:21:24
00:21:28
00:21:32
00:21:36
00:21:40
00:21:44
00:21:48
00:21:52
00:21:56
00:22:00
00:22:04
00:22:08
00:22:12
00:22:16
00:22:20
00:22:24
00:22:28
00:22:32
00:22:36
00:22:40
00:22:44
00:22:48
00:22:52
00:22:56
00:23:00
00:23:04
00:23:08
00:23:12
00:23:16
00:23:20
00:23:24
00:23:28
00:23:32
00:23:36
00:23:40
00:23:44
00:23:48
00:23:52
00:23:56
00:24:00
00:24:04
00:24:08
00:24:12
00:24:16
00:24:20
00:24:24
00:24:28
00:24:32
00:24:36
00:24:40
00:24:44
00:24:48
00:24:52
00:24:56
00:25:00
00:25:04
00:25:08
00:25:12
00:25:16
00:25:20
00:25:24
00:25:28
00:25:32
00:25:36
00:25:40
00:25:44
00:25:48
00:25:52
00:25:56
00:26:00
00:26:04
00:26:08
00:26:12
00:26:16
00:26:20
00:26:24
00:26:28
00:26:32
00:26:36
00:26:40
00:26:44
00:26:48
00:26:52
00:26:56
00:27:00
00:27:04
00:27:08
00:27:12
00:27:16
00:27:20
00:27:24
00:27:28
00:27:32
00:27:36
00:27:40
00:27:44
00:27:48
00:27:52
00:27:56
00:28:00
00:28:04
00:28:08
00:28:12
00:28:16
00:28:20
00:28:24
00:28:28
00:28:32
00:28:36
00:28:40
00:28:44
00:28:48
00:28:52
00:28:56
00:29:00
00:29:04
00:29:08
00:29:12
00:29:16
00:29:20
00:29:24
00:29:28
00:29:32
00:29:36
00:29:40
00:29:44
00:29:48
00:29:52
00:29:56
00:30:00
00:30:04
00:30:08
00:30:12
00:30:16
00:30:20
00:30:24
00:30:28
00:30:32
00:30:36
00:30:40
00:30:44
00:30:48
00:30:52
00:30:56
00:31:00

Transcript

Google Speech-to-Text API Automatic Transcription (Chirp). Treat it as a searchable index of what was broadcast, not a quotation record.

00:00:00It's somewhere even those machines can't reach. Researchers are testing a
00:00:04very different kind of first responder, cockroaches equipped with
00:00:08mini sensors. These biobots can crawl through tiny gaps and
00:00:12hazardous areas looking for survivors. And
00:00:15of rescue doesn't only happen on land. Underwater, strong currents and poor
00:00:19visibility can create new challenges. That's where
00:00:23underwater drones come
00:00:24in. This compact
00:00:28underwater drone is designed to... make the work of rescue teams
00:00:32of easier, according to its developer, it can be
00:00:36deployed in about 10 minutes and operate a depth of up to
00:00:40300 m, and its hor
00:00:43battery technology supposedly gives it a wired operating
00:00:47range of about 2
00:00:48of km for up to 4 hours.
00:00:52we
00:00:52of focus really on the most challenging
00:00:54of conditions,
00:00:55i so here in Switzerland for example we have rivers which are quite challenging to
00:00:59to operate in - humans underwater drones are used to
00:01:02locate water ammunitions, about 1.6 million tons were
00:01:06dumped in the north and Baltic Seas during the World Wars, posing
00:01:10long-term environmental and safety risks. Using
00:01:14HD cameras and acoustic sensors or Sona, the robot can survey large
00:01:18areas either autonomously or under remote
00:01:21a control. Once it identifies an object, operators can guide it for
00:01:24a closer inspection and
00:01:26of recover loads of up to 40
00:01:31of of kilos. Using AI and sensor of fusion technology, the drone
00:01:33in combines information from cameras and Sona, allowing it to navigate even
00:01:37in merky
00:01:37water.
00:01:42You have both basically visual information and acoustic
00:01:45of information uh displays this a 3D
00:01:47of map um in real time for the operator, or of course if you have an
00:01:50autonomous interface, it's much simpler you just say, well we need to search
00:01:54in that area or inspect that kind of structure and it does it for you
00:01:58basically. The system has already been used in search and
00:02:02rescue missions. It could also support offshore wind, oil and gas
00:02:05inspections, reducing the need for dives in hazardous
00:02:09conditions. Drones like this take
00:02:13years of engineering and
00:02:14of lot of money, but not every AI
00:02:17of rescue tool starts
00:02:18u in a big company or research lab. This wildfire detection system
00:02:21began with an idea from teenager who wanted to protect his
00:02:25community. Today it's helping detect wildfires
00:02:29around the world. "I started in 2020 because I personally had
00:02:33family friends who lost their homes to wildfires and I really
00:02:37wanted to do something about it. Franco Rodriguez Viao
00:02:40of was 16 when he co-founded satellites on fire, an AI powered
00:02:44early warning system for wildfires. Today company figures show the
00:02:48of platform is used in more than 20 countries and helped authorities respond to
00:02:52more than 600 wildfires in 2025. The company
00:02:56also says its alert system can detect fires faster than NASA's.
00:03:02We combine satellites, cameras, drones, sensors and AI
00:03:06to detect fires. We have an AI algorithm that is
00:03:10enabling us to detect much faster by combining different kinds
00:03:14of information
00:03:15in with reports from customers in
00:03:18of territory. The platform can send smartphone alerts to people who are in
00:03:22danger and notify first responders.
00:03:25Franco's goal is to save lives and to protect forests,
00:03:29wildlife. and fragile
00:03:30ecosystems.
00:03:36We want to be an integral solution for this problem globally, so this means
00:03:39being in prevention, detection, monitoring and suppression
00:03:42of the
00:03:42fires.
00:03:46of But many regions simply don't have this technology. In many
00:03:50places hit hardest by climate related disasters, rescue teams
00:03:54work with whatever they have. Pakistan is among the countries most
00:03:57vulnerable to climate change. every monsoon, floods kill hundreds
00:04:01and in the worst years force millions from their homes. the warning
00:04:05systems often don't reach everyone, that's where citizen lad
00:04:09technology can help. nothing but water
00:04:13where roads and fields won stood, pakistan's monsoon floods are deadly
00:04:17threat. in 2022 alone flooding killed more than 1,700 people
00:04:21and affected 33 million others, nearly one in seven
00:04:24Pakistanis. in some flood prone areas, early warning systems still have
00:04:28gaps, study's point to prof
00:04:57of the surface
00:05:01radar sensors work similarly with radio waves and according to the
00:05:04company remain reliable even in bad
00:05:07weather
00:05:10is solar radiation aapki.
00:05:42isn't easy, mobile coverage can be
00:05:44patchy, but where they work, the sensus
00:05:48give authorities more time to want people and
00:05:51evacuate,
00:05:55in karachi, millions of people live in informal settlements that are hard
00:05:59hit by flooding, many these areas are poorly mapped,
00:06:03making evacuation even more
00:06:04difficult. local initiative is now
00:06:08digitizing old maps and combining them with satellite imagery to
00:06:30we take all of that data together and we collectively turn it into a
00:06:34live map which lets you choose your mode of transport
00:06:38and based on that it tells you
00:06:41what is for you to take. For
00:06:45now, these tools remain local and limited, but as flads
00:06:49become more severe, the challenge is getting them to the people who need
00:06:52them
00:06:53most.
00:06:57One the best rescue tools is also one the simplest phone
00:07:01alerts. They can save more lives than the most expensive rescue
00:07:04equipment. When powerful earthquake struck Venezuela in June
00:07:082026, the country had no public early warning system.
00:07:12but millions of android phones still sounded alarm. Using
00:07:16data from smartphones, Google's alert system detected the quake and
00:07:20warned people before the strongest shaking arrived. Chile, by
00:07:24contrast, has a state run warning system, one the most established in
00:07:28Latin America. It sends alerts to millions of phones within
00:07:31seconds. At Chile's National Disaster
00:07:35Prevention and Response Service every second counts. The team
00:07:39issues early warnings and coordinates the response earth.
00:08:12technology, instead of sending millions of individual text messages,
00:08:16alerts are transmitted simultaneously from every cell tower in the danger
00:08:20zone to all compatible phones nearby, even if the networks are
00:08:23overloaded, the warning still gets
00:08:25through.
00:08:29telecommunications companies have expanded network coverage across the entire
00:08:33territory, this allies us to
00:08:36reach even very remote areas with alerts and effectively cover the
00:08:40whole country.
00:09:12minutos: an emergency, those extra minutes can make all the
00:09:16difference. so here's the takeaway: the
00:09:20most effective disaster technology isn't always the most
00:09:23advanced, it's the technology that reaches people when they need it
00:09:27most. fast, reliable phone alerts are the first line of
00:09:31defense. AI, drones and robots are helping rescue
00:09:35teams go even
00:09:48Sve što treba da znate na jednom mestu u pola
00:09:52sata N1
00:09:54dnevnik.
00:12:36has said he agrees
00:12:37with you. Samtman says he agrees with you. What's the action
00:12:40plan for
00:12:41you guys to come together? Is
00:12:42there a group chat that's going to come into fruish in here? So so first of all, are you
00:12:46talking? I'm enormously appreciative
00:12:50that other industry leaders including our
00:12:53competitors have. have offered their
00:12:56agreement with this plan, i you, i think,
00:12:59i'm i'm very glad that uh they did this, and
00:13:03i think it's an important first step. um, are you
00:13:07guys talking? think i'll get to that. i think the next
00:13:10step is for multiple industry players, some them have already
00:13:14said they're going to do this to to also um
00:13:18have to also agree to have third party
00:13:21evaluators. then i think the next step. after
00:13:25that is in some form the
00:13:29companies need to work together to set
00:13:32standards about safety standards for release,
00:13:36perhaps something about the pace of release, but in order to do
00:13:40that, there there needs to be involvement the government,
00:13:44because what we're talking about is the rate of release of
00:13:47products because of whether they're safe, and in order to have that
00:13:51conversation, we need to have that conversation with the...
00:13:55government in the room, the conversation right now is that we
00:13:59are in the precipice of something really scary, is this
00:14:03five alarm fire? i you know, i don't,
00:14:06depends what you mean by five alarm fire. what what i would say is how would you describe
00:14:10it? what what i would describe is so something i've been
00:14:14saying since uh you know since we started anthropic, almost since before we
00:14:18started anthropic is that this technology is on an exponential
00:14:22right, and that's a mathematical function that you know... doubles every six months
00:14:26or doubles every three months or something like that, and so when something
00:14:29doubles every small amount of time,
00:14:33it compounds very quickly, right? it's like you have one, then two, then
00:14:36four, then eight, then 16, then 32,
00:14:39and as I was saying that, what I was trying to say is this
00:14:43technology, it's going to jump much more quickly
00:14:47than we imagine, and but even as I was
00:14:51saying that to myself, I don't think I fully just appreciate...
00:14:55what it would actually be like when the progress was as fast as it was,
00:14:59so we're we're an exponential curve looks a little like this. where are we on the curve?
00:15:03we're kind of we're kind of on the bend where it's starting to get steeper. so is
00:15:06that five alarm fire to you? what, it's what it what it
00:15:10means, it it doesn't mean we need to panic today,
00:15:14it doesn't mean we need to shut it all down. what i
00:15:18i would say, it's it's a warning sign, it's a warning
00:15:22sign that we need to slow down we. need to make this
00:15:26technology carefully and we need to make sure
00:15:29that the our safeguards our ability to
00:15:33understand it, our ability to control it keeps
00:15:36up. with the pace at which the technology
00:15:40is
00:15:40happening.
00:15:47yeah, i think that they're really serious. it's a sign that these people
00:15:51are noticing that the recent instance um,
00:15:55are much worse
00:15:56than lot
00:15:56of people were expecting, and that we need to do something pretty serious to handle them and make sure that
00:16:00something terrible doesn't happen. yes, generally speaking,
00:16:04one way of making an AI not do something bad is to put. rails around it so that
00:16:08even if it tries it can't break out the box or
00:16:10something like that uh, but the problem is that this kind of approach doesn't scale very
00:16:14well as the AI is get more and more capable. alignment is about making the
00:16:18AI uh inherently want to pursue the goals that we wanted to
00:16:22pursue or have the values that we wanted to have and that's the kind of thing that we need as they
00:16:25get more advanced. yeah, it's there's there's different ways it can go wrong, but
00:16:29at least one the ways it can go wrong is sort the like literal
00:16:33genie, you tell it to do something but you slightly misspecify.
00:16:37want what you wanted to do and it gets way out of hand. i think the hugging pase incident is an
00:16:41interesting example of this where the AIs were sort of trained to try and get a
00:16:45good score and they found out
00:16:47that the best way to get the good score involved breaking out onto the
00:16:51internet and hacking a public company. i think it's a hard question.
00:16:54um so definitely first
00:16:56of all amusingly open air was founded in similar way where sort of sam and elon musk were
00:17:00like we're not sure that we trust google to be making this stuff. so actually all the top
00:17:04competitors were born out of not trusting each other. i think... that there is
00:17:07definitely some component them spinning this news a way that is more
00:17:11favorable to them, but very fundamentally if they could snap their fingers
00:17:15and have it be that their ais do not break out and randomly hack things, they would
00:17:19definitely want to do that, so I don't think it's all spin, I don't think it's all
00:17:23someilaberpon, I think they are genuinely scared, but you do have to
00:17:27take the exact phrasing with a pinch of salt. The honest answer, and this is kind of
00:17:30unfortunate is that AI is becoming more and more of a
00:17:34critical piece of national security infrastructure. and so I
00:17:38would guess that the US government had at least some part to play in
00:17:42the decision, the more it becomes the case that these things have you,
00:17:46for example, previously anthropic and open AI had their own internal programs to figure out
00:17:50who would get private access to these models for defense, now the US government has kind of
00:17:54taken over that, I think UKAC is absolutely wonderful, I think that some part of
00:17:58what's going on is the the UK government doesn't have as much leverage and the third
00:18:02party auditors they're looking for are very much us auditors, very difficult
00:18:06question um mean a couple of things, what have we seen
00:18:10lately? so i think one thing that people underrate is that the China is
00:18:14in some ways more sympathetic to slowing down, because they're
00:18:17aware the fact that if AI gets very powerful,
00:18:20it could be bad for the PRC, could disrupt their ability to sort
00:18:23of um function effectively as a sort of dominant
00:18:26government. um, so actually compared to the US,
00:18:30they have some appetite for it, they are also currently behind, so there's a lot of
00:18:34specifics in how you do anything like slowing down or
00:18:37Yeah,
00:18:44so they're not exactly open source in
00:18:46that what they release is the contents to run them yourself, but not to actually build them
00:18:50yourself or see how they've done, see how they build, like traditional open source
00:18:53software,
00:18:54you can seal the code, if it's safe, but that
00:18:57decision
00:18:58to to public things, it's very common in tech in general for people who
00:19:02are a little behind the frontier to want to make the things more available, so sort of google doing this
00:19:06with android was a... story and windows doing it compared to Apple by
00:19:10releasing sort of Windows OS. I'm certainly hoping
00:19:14that it ends up being a dam squib, but I think that the chances that it aren't are
00:19:17substantial enough that we need to take this very, very seriously. I mean, if you
00:19:21look at the kinds of people who are worried, it's a lot the most
00:19:25heavyweight, well respected AI research
00:19:28luminaries, and the predictions that the people who are most worried were
00:19:32making 10 years ago are beginning to come true, so definitely watch this
00:19:36space. Uspeh ne čeka, zato je tu Forbes
00:19:40Srbija mobilna aplikacija, tvoj dnevni izvor biznis ideja,
00:19:43inovativnih rešenja, kao i inspirativnih priča lidera,
00:19:47pristupi najvažnijim vestima, ekskluzivnim analizama,
00:19:50intervjuima, bilo kad, bilo gde, biznis, uspeh,
00:19:54Forbes.
00:20:31Ether was um uh the mad madatter the
00:20:35family to be honest she was the one that got. to mischief, susanna
00:20:38sister was the sensible one, um, but yeah, she
00:20:42was a lively, lively, fun, loving little
00:20:45girl, um, that you know would always make
00:20:49us all laugh, and fall about and would be up to mischief
00:20:53whenever the opportunity erose, not bad mischief, but
00:20:56enough to,
00:20:57you know, you had to be to keep you on your toe, yeah,
00:21:01yeah, yeah, and as any girl her age is
00:21:04encouraged to be, should be, she was active, she liked being outdoors,
00:21:08yeah, and she did that, lot of your
00:21:12photographs and memories of her, yeah, she loved the beach, she loved the beach, she loved
00:21:16being outdoors, yeah, she collected hundreds and hundreds of shells,
00:21:20'and we had to keep them all and and it was only she could
00:21:24only collect them if she promised to return some and only take
00:21:27few home um but of course you never got to choose was
00:21:31this family trip to Devon that that changed the course of your
00:21:35family's life and ultimately
00:21:37led to the end of heathers can you talk to me about what happened that day because it was an ordinary
00:21:41family trip to the beach yeah yeah she she was enjoying herself
00:21:45having lots of fun and we were going to go for a walk on the evening
00:21:48and um previously in the day we'd done the
00:21:52same walk along the seafront along the path um and
00:21:56that's where she trod in that uh the the water from the combined sewage
00:22:00overflow we carried on the day she played on the beach did
00:22:04normal things but then in the evening when we went for our evening
00:22:07walk uh she started she suddenly became
00:22:10unwell um and and became
00:22:14quite distressed uh so we got her back to
00:22:18the chalet and did what ever parent would do and go you got a b
00:22:21sickness and diarrhea, you can't have anything eat or drink, you'll be better
00:22:25soon, don't worry about it, I'll stay with you, dad and Suzanne will go
00:22:29out, um, but she she didn't, she
00:22:33wasn't getting better, um, so we took it to the
00:22:37chemist, chemist prescribed to hiroly, you know, sickness and die,
00:22:40same, every, every parent's journey with a child that's got,
00:22:44sickness and diarrhea, um, but then as things
00:22:48progress she started to bleed, and that's when we went back to the doctors
00:22:52and that's when we were rush to casualty um and everything you saw
00:22:56in dirty business is what happened um which is the the channel
00:23:004 series yeah based on your
00:23:04family's experience and exploring the state the UK waters
00:23:07and the the industry involved in it southwest water
00:23:11carried out investigations at the time um despite formal
00:23:15investigations no cause for the outbreak was identified um
00:23:19the inquest patient confirming that no definitive source of infection was established and the
00:23:23circumstances southwest water say of waste water infrastructure
00:23:26regulation the late 1990s is very different from today and
00:23:30since then there has been significant investment. however,
00:23:34can I just say something? yeah,
00:23:36you can. At the time it took them 30 days to
00:23:40take samples from the water in the area, and we're always told that
00:23:44if there's
00:23:44a sewage spillage into the sea, 48 hours waiting
00:23:48to see, but they... did not, they assumed at the time,
00:23:52they completely assumed it was from food, and when they drew a
00:23:56blank, that's when they started looking at the environment.
00:24:00when you think about it, heather died back in 1999
00:24:04and water company say you're a very different place to to where
00:24:07we were in the 1990s, but are we that? well, that's
00:24:11the thing, I mean, you went to Westminster with
00:24:15surface against Sewage last week with some very
00:24:19start. statistics from the summer
00:24:22period, um, also with personal
00:24:26stories from families, this summer, there was a young girl called Keeva, eight years
00:24:29old, she became seriously ill after swimming at Aven Beach in
00:24:33Doorset again, designated bathing water site
00:24:36awarded excellent, she swallowed seawater while swimming at her
00:24:40local beach and was hospitalized afterwards,
00:24:43what is it like for you to see this happening up
00:24:47and down the country?
00:24:50repeatedly, what is it like for you as family who have lost a
00:24:53daughter? it it's a mixture, there's
00:24:57a anger, real anger, but also there's
00:25:01a deep sadness,
00:25:04because when i had my meeting with the secretary of state and the
00:25:08secretary for water, the minister for water, sorry, i said
00:25:12to them really clearly, i am not going to
00:25:15stop until something changes, because i can't
00:25:20not allow this to happen to another child and another
00:25:23family, i can't, because it's
00:25:26horrific, and you can't, you can't ignore the
00:25:30fact that this is a public health crisis, the the
00:25:34suwage system, it's primary function is to protect
00:25:38public health, and it's not doing
00:25:40that, and so I just cannot understand why
00:25:44there are all these people in power, all these people that have the
00:25:48authority, they must... children, they must have
00:25:51families, they must feel,
00:25:54you know, they must understand, and yet they continue
00:25:58to do the same things over and over again, so...
00:26:02is discharging sewage into bathing water, why would you do
00:26:06that? why would you run the risk on your
00:26:09watch, the possibility of another death? why would you
00:26:13do that? final question, julie, um, water safety became a
00:26:17mandatory part the correctrium in the UK in schools
00:26:21to do with water safety, we had an unprecedented number of deaths this year from
00:26:25people getting into difficulty open water swimming, it didn't include
00:26:29water quality, we know that that does, get taught
00:26:33as part of geography lessons, but in your case you actually brought
00:26:37our guide with the charity service against sewage to make people
00:26:41aware, because that's the thing, people go to the seaside and they
00:26:45don't always have an app to check what the quality of water is like,
00:26:48but you want to educate young people, because while they're
00:26:52perhaps not being looked after by the state or water companies, they need to
00:26:55look after themselves, what do you want to see in schools? well, the
00:26:59people that are taking them on the trips, doing the risk assessments, do a full risk
00:27:03assessment, looking at water quality, including that in
00:27:06the risk assessment, and also making children aware. I mean, how many,
00:27:10I mean I know, I cuz I used to work in education, if kids got dirty, just
00:27:14rinse your hands in the water when you're on an outdoor ed, just give your hands and it's
00:27:18like, now that's not the case, that is not a safe place to actually
00:27:22make sure you're clean, you know, use some wet wipes, use antiback,
00:27:25use something, don't touch your lip, you know, all that kind of basic
00:27:29stuff, don't touch your lips, wash your hands before e
00:27:33hygiene, think the water as potentially
00:27:36contaminated, don't assume it's not, buse
00:27:40we can't assume that the water companies, the environmental
00:27:44agency, the government are looking after us at the
00:27:47moment, they aren't, so we have to protect ourselves
00:27:50and that's my big message at the moment is don't
00:27:54assume, take care, look after your children, keep them
00:27:58safe, the water isn't safe.
00:28:09Od 12. do 18. septembra, svake večeri
00:28:13u 9:00 na
00:28:15Sinemaniji.
00:28:19Stivendorf triler drami
00:28:22dug. Jamie Bell
00:28:25u romantičnoj drami, filmske zvezde ne umiru u
00:28:29Liverpulu.
00:28:34Daniel Redcliff u akcionoj komediji
00:28:37Pištoljdžija
00:28:44Natali Portman u akcionoj Western drami Opasna
00:28:47Jain
00:28:48David
00:28:52Eliot ratnoj drami Kadžaki
00:28:56istinita
00:28:56priča
00:29:01Colin Farel. U drami ubistvo svetog
00:29:04Jelena,
00:29:11Sharon Stone u romantičnoj drami, sve što
00:29:14želim, više filmova,
00:29:18viševa.
00:29:20Sinemanija.
00:29:25U novom broju radara Miodrag Jovanović, izbori idu u pravcu referendumske
00:29:29atmosfere, izborne liste, karte se otvaraju, šta je Niklo na Zgarištu?
00:29:32palate na pepelu, Srbija i BiH diplomatskom Klinču Mladić,
00:29:36rizična izborna platforma, gde nestaje novac iz budžeta, asfalt važniji od
00:29:40penzionera.
00:29:46U novom danu tražimo odgovore na pitanja koja su važna za sve
00:29:49nas. Samo dobro informisani, možete donositi prave
00:29:53odluke.
00:30:27Dobrodošli, poštovanje, gledate subotnji pregled sport klub
00:30:31vesti, put je. od odbojke do fudbala, na početku gledamo vesti
00:30:35dana. Još dva dana do Slovenije,
00:30:39Srbija se sprema za osminu finala Evropskog
00:30:42prvenstva.
00:30:47Bryton deklasirao Arsenal u derbiju petog kola premijer
00:30:50lige.
00:30:54Harry Kein, rekorder Bundeslige, 100 golova za
00:30:5798 mečeva.
Data courtesy of The GDELT Project (gdeltproject.org), from the Internet Archive TV News Archive. Film strip and transcript are GDELT's, rehosted here under their terms of use, which permit it with this citation.