Croatia: N1 Croatia

20260926 19:30 UTC · 00:30:59 · 412 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

Film strip

One frame every 4 seconds, 465 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

Transcript

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

00:00:12Robots
00:00:13in of are sprinting down racetracks in China, one
00:00:15of the world's biggest AI companies is cutting apart books
00:00:19by the thousands and Mark Zuckerberg says the future belongs
00:00:23to personal superintelligence from humanoid robots to AI training
00:00:27data and Silicon Valley's latest promise. what do these
00:00:31a stories mean for users? let's get into it.
00:00:35robots that perform martial arts. robots that play
00:00:38soccer, and now robot that allegedly beat Usain
00:00:42Bolt's hundred meter record. is this a glimpse of what's coming
00:00:46to our homes and factories? or
00:00:48of a clever PR stunt? because that's what some
00:00:50of experts call the world humanoid robot games, a massive PR
00:00:54campaign for the Chinese robotics
00:00:56of industry. will physical AI really change our lives? and what
00:01:00does China's push for humanoid robots mean for
00:01:03you? take this guy for example: the robot
00:01:06covered 100 m in 9.39 seconds and
00:01:10of later improved to
00:01:12of 8.86. is this a marketing ploy or a technological
00:01:15breakthrough? in short, it's both.
00:01:19to move at the speed,
00:01:20the robot needs the right materials, sensors and
00:01:22in software that can help it adjust its balance in
00:01:25milliseconds. making a two-liken machine move fast
00:01:29without d damaging its joints is a challenge, and by the way, the crash at the
00:01:33end
00:01:33of the race isn't necessarily a bad thing for
00:01:36developers, some
00:01:38of the things that we humans think super easy, like
00:01:41of walking, stopping, just standing, is
00:01:44very complex task, testing these under these
00:01:47conditions, every failure is
00:01:51data. running fast shows mechanical
00:01:54capability, but it's not a matter of autonomous decision
00:01:57making. this was required
00:01:59in at other less flashy but more demanding competitions at the world
00:02:03humanoid robot games. robots were given problem-solving tasks
00:02:07that required autonomous decision making. helping them via
00:02:10teleoperation was allowed in some cases, but penalized.
00:02:14so robots can be somewhat smart and fast. does that
00:02:18mean they
00:02:19of could do our chores soon? watching videos like these, you might think
00:02:23household robots are already working in people's homes, but shipping
00:02:26robots is one thing, what they can
00:02:28a actually do is another. in testing environments, robots might
00:02:32succeed and ironing clothes, folding
00:02:34na laundry or doing the dishes. everyday homes are more
00:02:38complicated. our homes aren't
00:02:40of standardized, it's
00:02:41of extremely difficult for humanoid sensors to understand
00:02:45everyday household chaos. for
00:02:47of now, the idea of humanoid robot walking into your home and cleaning it from
00:02:51top to bottom without any assistance remains science
00:02:55fiction. people think that maybe we can just put LLMs on robots and
00:02:59suddenly. they'll be intelligent,
00:03:01in but the LMS are not really intelligent in the
00:03:05sense that they don't understand the
00:03:07of physical world, and they don't understand consequences of action. one
00:03:11of the biggest technical challenges is touch or tactile
00:03:14sensing. robots have touch and force sensors, but
00:03:18they still cannot match the sensitivity of human touch. Wang
00:03:22shing shing, CEO of Chinese company Unitrie
00:03:25of recently admitted that humanoid robots could still need up to 10.
00:03:30before they have a real breakthrough, okay, but what about humanoids
00:03:34in the workplace? will
00:03:35they take our manual jobs? companies are already
00:03:39testing humanoid robots in factories, warehouses and
00:03:43dangerous work environments. they bring one massive advantage from
00:03:47the employers perspective. they're built to work in spaces designed for
00:03:50humans. that could mean fewer changes to factories and
00:03:53equipment. but here's the good news for workers:
00:03:57the world economic forum expects. technology to
00:04:01create more jobs than it will replace. while humanoid robots
00:04:05may be stealing the spotlight, the bigger threat to the way we work today
00:04:09is actually software AI. yet, the rapid progress in
00:04:12robotics raises another important question: what does it mean
00:04:16when the world's robots come from china? china doesn't only have the
00:04:20flashiest robots at the moment, it's also the global leader and
00:04:24mass producing them. in 2025, Chinese made humanoid
00:04:28robots accounted for around 85%
00:04:31in globally, there's a new tech race
00:04:33of taking of of shape, the US is moving to restrict and ban imports of Chinese
00:04:37autonomous humanoids, largely over security concerns. Other
00:04:40countries are watching closely too.
00:04:43a These robots collect and process large amounts of data
00:04:47about the people and places around them. That
00:04:50a raises privacy and national security concerns. The bottom
00:04:54line, we likely won't see a Chinese robot invasion
00:04:57of in our living rooms anytime soon, but... AI could still
00:05:01transform the workplace, and that's something none of us can afford
00:05:05to ignore. are
00:05:08of AI companies really destroying antique books?
00:05:12AI companies are burning books, burning the books, big AI is literally
00:05:16lighting our books on fire. you've probably seen videos like these on
00:05:20social media, but it's not that simple. here's what's true:
00:05:24anthropic: one the biggest AI companies in the world ran
00:05:28secret project, their own internal documents state an
00:05:31effort to destructively scan all the books in the world, and
00:05:35they don't want anyone to know about it. the optics aren't
00:05:38great, but are they really destroying unique? troll
00:05:42treasures? let's take closer look at what's actually happening. first
00:05:46question: why? AI models like chachept or
00:05:50cloud learn from huge amounts of text. for years,
00:05:54companies just scraped the internet for training data. they took
00:05:57everything they could find, but even the internet is
00:06:01finite. by now, there's not much fresh, high quality
00:06:04text left to feed these models. plus, more and
00:06:08more the internet is now being written by AI itself. and
00:06:12when AI trains on AI generated content, quality
00:06:16drops fast. researchers call it model collapse. think
00:06:20of it like photocying a photocopy of a photocopy. it
00:06:24gets worse every time. that's where books matter.
00:06:27specifically older ones written long before the AI era. they're
00:06:31curated, reviewed, structured, and arguably, the
00:06:35highest quality training data left on the planet. in recent months,
00:06:39booksellers, researchers and distributors began noticing large scale
00:06:43purchases of physical books like this antiquarian book shop in
00:06:47Berlin. We were getting orders worth over 100
00:06:50euros from this company almost every day, and some them would
00:06:54come in at 4:30, 5, 5:30, so they weren't
00:06:58bundled together, which suggests these had to be automated
00:07:02orders. There's one more reason why Anthropic is
00:07:06buying physical books. Recently, they agreed to huge
00:07:09$1.5 billion dollar settlement a copyright case: a group
00:07:13of authors had sued the company for training their AI models on their texts
00:07:17and here's the interesting part: the court found that training AI on
00:07:21books is not illegal, but downloading pirated copies
00:07:25and storing them is. so now anthropic is
00:07:28paying for the hard copies, and in this case it was ruled that buying
00:07:32books, digitizing them and destroying physical copies is
00:07:36legal under US law. it's only changing the format.
00:07:40are they actually destroying rare unique? books that will now be lost
00:07:44forever, in short, so far, there's no evidence of it.
00:07:47Anthropic mostly looks for out of print, technical or
00:07:51super niche books. A large share the books ordered
00:07:55were from the 70s, 80s, 90s. From that time, many
00:07:59books still haven't been digitized to this day, meaning they're not freely
00:08:03available online or not available on the internet at all,
00:08:07and it was mainly non-fiction and specialist books, so
00:08:10specific subjects with a high. information density and
00:08:14academic style of language. The reality,
00:08:17most used books aren't rare. They exist in thousands of
00:08:21identical copies. Nevertheless, Henwack stopped selling the books
00:08:25when they realized what they were being used for because they wanted to sell books
00:08:29for humans to read. Other booksellers are happy they get to sell stacks
00:08:33of old books that have been sitting in their warehouses for years, but
00:08:36critics worry AI companies won't stop at mass produced books
00:08:40and will come for the rare ones next.
00:08:44Mark Zuckerberg recently dropped Meta's version for the future of
00:08:48AI, a personal superintelligence, designed to help all of us
00:08:52reach our goals. He also warns against concentrating AI
00:08:55power in the hands of few. has Zuckerberg suddenly become a tech
00:08:59humanitarian, don't be fooled. Behind his massive
00:09:036,500 word manifesto is much bigger
00:09:06strategy, a high stakes battle for influence, data
00:09:10and money. Here's what's really going on. Let's first take a look at the
00:09:14huge promises he's making. Zuckerberg argues that individual
00:09:17empowerment must be at the center of AI development, and according
00:09:21to him, there's a lot in store for the average user. In his
00:09:25vision, we will all have super capable, personal AI
00:09:29agents that work for us 24/7. We'll have
00:09:32incredible tools to get creative and powerful tools to bring our
00:09:36business ideas to life. Plus, we will be able to learn anything we
00:09:40want and can all contribute. to scientific progress, and the best part,
00:09:44according to Zuckerberg's vision, all of that should be free, or at least
00:09:48affordable for billions of people. Sounds great, right,
00:09:52but some tech journalists and experts view the whole thing as
00:09:56clumsy attempt to make AI more appealing. Fact is,
00:09:59global public trust in AI is low. According to recent
00:10:03study, users are generally more afraid of AI's potential
00:10:07dangers, then they are excited by the possibilities it might bring.
00:10:11There is another hidden. in the manifesto. Zuckerberg
00:10:15wants to position Meta as the good guy in the AI race. Look
00:10:18at how companies like Open I and Anthropic market
00:10:22themselves. They warn that AI agents could go. rogue or cyber
00:10:26security is in danger. Then, they offer to sell us tools
00:10:29designed to help manage those risks. Zuckerberg basically calls us
00:10:33out as fear-mongering, designed to trap corporate and private
00:10:37users into expensive paid subscriptions. And that's where meta's
00:10:41strategy comes into focus. Unlike many of its AI rivals, meta
00:10:44doesn't depend primarily on selling AI subscriptions. It's
00:10:48main business driver is still advertising. That means Meta
00:10:52can afford to offer powerful AI. tools for free,
00:10:56or a much lower price than competitors, and if users don't have to pay
00:11:00a monthly fee, companies that rely on subscriptions could feel the
00:11:04pressure, but Zuckerberg doesn't stop there, he even wants to make
00:11:08Meta's AI products open source, or
00:11:11open weight. Let's sum up both as open
00:11:15AI for now though. According to Zuckerberg, this is the best way to
00:11:19help protect individual freedom. His sales pitch is
00:11:23simple: if I let people look in side my software, they'll trust me
00:11:27far more than closed labs like open AI and anthropic. to be
00:11:31fair, meta already offers a range of open AI tools, the best
00:11:34known being the large language model lama. but there's a geopolitical
00:11:38angle here as well: more and more powerful AI models are emerging
00:11:42from China, and Zuckerberg makes it clear that he sees that as
00:11:46a strategic challenge. a chapter titled protecting freedom and
00:11:50preventing government turany, Zuckerberg warns that if western
00:11:53regulators clamp down on open AI models, autocratic
00:11:57regimes will win the global AI race. critics see it
00:12:01differently, they argue meta is trying to protect its business model,
00:12:05giving away AI technology widely, building massive
00:12:08adoption, weakening rivals that rely on keeping their most powerful models behind
00:12:12a paywall, and keeping regulators at arms
00:12:16length. in summary, zuckerberg really wants
00:12:19everyone to trust him, users, governments,
00:12:23investors, and especially
00:12:40Ne mislim da je mahanje zastavama moj posao, nije
00:12:44ni da se svidim svima, moj posao je da prenesem
00:12:47činjenice kažem istinu, koliko god ju možda nekad nije
00:12:51ugodno čuti, jer novinarstvo nije PR, nije...
00:12:55Politikanstvo nije rijeliti šou, novinarstvo je
00:12:58javna služba, jer odustati od postavljanja
00:13:02teških neugodnih pitanja, traženja teških odgovora
00:13:06znači odustati od demokracije. U vremenu
00:13:09poljuljanog povjerenja u institucije i krhke
00:13:13vjerodostojnosti novinarstvo ne smije šuti. Ja sam
00:13:16Hrvoje Krešić i gledajte me na N1 Televiziji.
00:13:20Noviteti, testovi, vijesti, staro i
00:13:23novo. Svako. drugog i četvrtog petka u mjesecu
00:13:27donosimo sve relevantno iz autoindustrije. Upoznajemo
00:13:31vas s novim modelima tehnologijama, savjetujemo kako kupiti
00:13:35automobil te progovaramo o problemima koji tište sve
00:13:38sudionike u prometu. Pratite nas i budite u toku
00:13:42sa svime što nam nosi budućnost na četiri kotača.
00:13:46Automobiliona petkom na N1
00:15:30I'm sure it was seen plenty of human noy robots showing their
00:15:34talents dancing playing instruments
00:15:38or even doing sports, but what do human
00:15:41loid robots look like when they step off the stage and into the
00:15:45workplace? or put it another way, if robots are built for
00:15:49production, why do they need to look
00:15:51human?觀察到生活用的時候我們還需要人形人嗎?我
00:17:08and objects around them a key step toward working
00:17:11alongside humans and this year the world manufacturing
00:17:15conference is putting that idea into practice with
00:17:18humanoid robots showcased in real world scenarios from
00:17:22factories to smart
00:17:23cities
00:17:29please lead me to the smart city
00:17:31block
00:17:34我們展示這個場的整個一個工場的
00:18:13AI family members, made our super police robot,
00:18:17this robot officers are now working in 35 cities across
00:18:21china, it can direct traffic and intersections, capture illegal
00:18:25parking, deliver safety reminders and offer government service
00:18:28guidance, this day on duty nonstop, even extreme weather that
00:18:32challenges our human officer, perhaps the point of making robots look
00:18:36human is not to make them more like humans, but to make them fit
00:18:40more naturally into a world built by humans, and that may
00:18:44be why the humanoid for
00:18:45matters.
00:18:55We're following a high speed police convoy, rushing
00:18:59to a crime scene with the highest of
00:19:02stakes. Another young South African
00:19:06woman has turned up dead. 'in a slew of murders that have
00:19:10ignited fear and panic in the city just east of
00:19:13Johannesburg and shaken the
00:19:15country. that's the ninth body
00:19:18in the last two months and the sixth woman found dead
00:19:22in just a week and people are gathered around from this area, they're here
00:19:26in the rain, fearful because even by South Africa standards a
00:19:30place grappling with femicide and high murder rates, this is
00:19:33horrifying. they gather to see if the body huddled over by
00:19:37corners and covered by a sheet is their friend who went missing three
00:19:41days ago, it is 23-year-old
00:19:43Tabello and now their grief is
00:19:47confirmed. the authorities keep arriving, the place
00:19:51is full of police, we've just seen this man devastated, he's
00:19:54found out that the woman dead has been identified and is his
00:19:58brother's girlfriend, and people around him are shocked and sad because
00:20:02they feel very scared and wonder if their loved ones could be
00:20:06next. "the series of brutal murders is happening a country
00:20:10that designated femicide and national disaster, a promise of
00:20:13greater government coordination to stop killers targeting South African
00:20:17women, has not brought soless to the communities now looking on in
00:20:21shock and rage, at the corpses found
00:20:25half naked and abused in the parks that border their homes, all
00:20:28within a 40-minute radius. I'm very set,
00:20:32frustrated, angry, I don't know what, like
00:20:35we are scared as women, we've got children, we don't know. what
00:20:37to do, we've got life, but this is not on, what is happening is
00:20:41very bad, we are just shuttered, how many times
00:20:45ladies is killing here, it's too
00:20:48much, me, I'm tired, I'm
00:20:52scared, every time I have my children daughter,
00:20:55three, always I'm
00:20:57scared.
00:21:01The killings are another rallying cry a grassroots campaign against
00:21:05femicide, that has had to persist for far too
00:21:08long. We are just saying, it's only
00:21:12God who can save us with all this situation that we are
00:21:15in, and also we know and we understand that the
00:21:19storms that... we are in or the challenges that we are in, we
00:21:23are not going to go out, god is always with
00:21:25us. frustration is geared towards the police who
00:21:29are under pressure from the highest levels of government to solve the serial
00:21:33murders, a time when public distrust
00:21:36is high. there's a lot of talk about a
00:21:40serial killer being on the loose, what do you make of that? no, it's still subject to
00:21:44investigation, the teams are hot at work um at the end of
00:21:47investigation and uh
00:21:59the minister of police is at the memorial of another one the victims
00:22:02elizabeth maselika gomo known
00:22:09her endeeringlyso mother did not return
00:22:11home
00:22:13when and e year old child raised the
00:22:17alarm her uncle tells the audience that it was old daughter, whose
00:22:21initiative to report her mother is missing, ignited the hunt for suspects that
00:22:25may have taken Elizabeth's life along with at least eight other
00:22:28women. i feel bad to start
00:22:31with, broken, shuttered, and then
00:22:35it's also scary, because almost every day as we
00:22:39wake up the numbers is increasing, so the
00:22:42question that comes who will be
00:22:44next. for enraged south african
00:22:48women, one of hundreds whose lives have been stolen by
00:22:52femicide this year, but for her father and uncle, she was one
00:22:56of one, daughter that left her home and tragically
00:23:00never returned. sky news, akurahani, south
00:23:04africa.
00:23:54Istanbul on the Bosphorus, was once the pulse the vast domain
00:23:58of Ancient Byzantium, it is now the capital of present-day
00:24:01Turkey. Our wonder is amongst the best
00:24:05architectural marvels on the planet, a structure which has deeply inspired
00:24:09western
00:24:10buildings.
00:24:14Istanbul is a confluence the Christian and Islamic worlds.
00:24:18Our duel is located at the city. nucleus, it was a church to
00:24:21start with, then turned into a
00:24:23mosk.
00:24:29the emperor justinian erected the haias sopia in the 6th
00:24:33century, it was then the largest church in the
00:24:35world.
00:24:42after six years of building in 537 AD,
00:24:46Justinia made a glorious proclamation, oh Solomon
00:24:50"I have surpassed
00:24:51thee." It was
00:24:55obviously directed at Solomon's temple which had influenced the construction of
00:24:59several churches around the
00:25:00planet.
00:25:05Hi, Sofia means holy wisdom. It provided an
00:25:08appropriate location for the coronation of
00:25:11kings. In the 1400s,
00:25:14Hy Sofia was converted into a mosk by the Ottomans and the
00:25:18interiors the buildings... showcase a harmonious mix the Islamic and
00:25:22Byzantine arts the time, an amazing blend of east
00:25:26and
00:25:26west.
00:25:32Haya Sofia's chief characteristic is the enormous dome which seems
00:25:36to hover in space. It is held up by a string of half
00:25:40domes and climbs above huge masonry piers nearly buried in the
00:25:44edifice. Thus the centrifugal force the central
00:25:48dome, the parallel forces. Are counteracted by equal forces from the
00:25:52group of half domes and quarter domes
00:25:54beneath.
00:26:03A spell-binding example of revolutionary architecture, this
00:26:06magnificent church was the foremost to have a mammoth
00:26:09dome. Haya Sofia laid the path for other
00:26:13structural designs like a Dwermo in Florence, St. Peters in
00:26:16Rome and St. Paul's
00:26:18in London.
00:26:50We're approaching one the greatest inexplicable wonders the
00:26:53planet. It is the planet's biggest work of
00:26:56art, enormous in size, it can only be viewed from the heavens
00:27:00and is even said to be a construction by the
00:27:03extraterrestrial, the Naska
00:27:07lines made high above a plateaumana,
00:27:10Peru have carvings on the very surface the pampus,
00:27:14though the images are enormous, it is impossible to view them from the
00:27:18surface, hot air balloon, an aircraft or helicopter has to
00:27:22be availed to view these spectacular figures from
00:27:24above.
00:27:29These might have intrinsic meanings, but them is beyond
00:27:33the realms of human
00:27:34comprehension. this peculiar
00:27:38image is perceived to be astronaut by many, but who is it
00:27:42gestering to, and what's the hidden message behind
00:27:45them? the whole terrain
00:27:49is intersected by these inexplicable straight lines. they stretch
00:27:52all over across miles and miles. it is almost like hovering over
00:27:56an air
00:27:57strip.
00:28:02How were these enormous images made in the surface 2,00 years
00:28:06ago by past civilization whose identity is
00:28:09unrecocorded?
00:28:16The surface of this territory is full of big reddish stones passed on
00:28:20through the activities the glaciers across thousands of
00:28:23years. The NASC has forced the stones out to
00:28:27reveal the gypsum below the surface, giving a varied touch to the
00:28:30surface, distinct shape to... the stone spread terrain
00:28:33an effortless without
00:28:37standing twist to the sight. the lines have lived
00:28:41through ages because Naska is one the most arid landscapes on the
00:28:44planet and its inaccessibility has guarded these delicate
00:28:48designs from the devastating interests the human
00:28:50race. but the
00:28:54secret behind these marvelous works remains uncovered.
00:28:58what's the reason behind its existence? why on an enormous
00:29:01platform like this? and how did their creators view their
00:29:05stunning work of
00:29:06art?
00:29:25dagendwat!
00:29:39pro life suspenzija i milijarde dobrih bakterija ovu malu bočicu
00:29:43ne moram mišat s vodom dobar je i kad pijem antibiotike aha prolife
00:29:47suspenzija za probavu bez tenzija ja ovde gorim
00:29:51čovječe uzmi reflustat pa reflustat sadrži prirodne sastojke
00:29:55i brzinski gasi žgaravicu smije ga uzimati i
00:29:58ona vjerujte svom želucu uzmite
00:30:01reflustat. Od sada u obliku tableta za
00:30:04žvakanje.
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.