TRTWORLD — Money Talks
20260920 053000 UTC
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[00:00:09] Hello, of you're watching
[00:00:10] a TRT of World, I'm Katie Pillbim,
[00:00:12] a reminder now of our main headlines for you: Iran has laid out what
[00:00:16] it
[00:00:16] of wants from the US before the restart of any negotiations on
[00:00:20] of ending their
[00:00:21] of standoff, and the conflict as well threatening the entire region now.
[00:00:25] Security chief
[00:00:26] me Mosen Raise says seven conditions have been delivered.
[00:00:30] Qatar as Donald
[00:00:31] of Trump prepares to meet golf leaders on the sidelines
[00:00:34] of the UN General Assembly in New York next week.
[00:00:38] The Saudi Led
[00:00:39] in coalition says it's intersempted a hoothy ballistic missile
[00:00:43] targeting Riad and stopped a wider attack on several
[00:00:47] Saudi cities, but the hoothist
[00:00:49] in say of their missiles and drones hit sensitive sights in the capital
[00:00:53] and
[00:00:53] in a Ramco facility in Yambu
[00:00:56] of causing large fires there. and
[00:01:00] Israely strike against a civilian vehicle in Gaza City has
[00:01:03] killed
[00:01:04] one person. Well, this raised the death toll on Saturday
[00:01:08] alone to five people killed in other parts as well in Jabalya,
[00:01:12] Nuzarat and Gaza City. It's the latest Israeli
[00:01:15] violation to the seasfire signed with Hamas in October last year.
[00:01:19] More than 1,300 Palestinians have been killed in Israeli
[00:01:23] of attacks since that agreement. English music star
[00:01:27] Ed Sheiren has apologized to fans. for how he's handled the
[00:01:31] controversy over the dropping of American
[00:01:34] of rapper Macalmore from his US tour.
[00:01:36] of He was removed after stadium owners objected to comments
[00:01:40] to pro-Palestinian comments he made on stage during a
[00:01:43] performance in New
[00:01:45] in Jersey. Well Shiran blamed the tour promoter for the move. All of Shirin's
[00:01:49] remaining opening Ax and his band then pulled out
[00:01:52] of the tour in solidarity with Makelmore. But this
[00:01:56] week the criticism was about something much more important and had to
[00:02:00] take uh and make difficult decisions and i am making mistakes
[00:02:04] and i'm so so sorry. the white
[00:02:08] house correspondents association has demanded the restoration
[00:02:11] of access for banned colleagues calling their removal
[00:02:15] unconstitutional. roll reporters for CNN, msnow and
[00:02:19] politico had their passes confiscated after Donald Trump's ban on the
[00:02:24] in networks. Trump accused them of reporting what he called fake news and
[00:02:27] suggested more outlets could face. restrictions or
[00:02:31] CNN has called his decision an illegal assault on press
[00:02:35] freedom. The news continues on TRT
[00:02:38] World.
[00:02:53] of In this house
[00:02:57] are many rooms.
[00:03:02] "you thought you remembered them, but everything
[00:03:06] keeps changing.
[00:03:11] in art, it moves us, it
[00:03:15] challenges us, it
[00:03:17] a expresses the
[00:03:20] a of inexpressible, but what if the brush is code and the palette is an
[00:03:23] algorithm? can
[00:03:27] ai make creativity and expression except?". everyone,
[00:03:31] breaking down
[00:03:32] of barriers of skill, expertise and even ability. i
[00:03:35] a delved into this issue with a New York base artist who goes by the name of Claire
[00:03:39] Silver. tell
[00:03:42] me a bit more about this piece in this house that we've just
[00:03:45] seen.
[00:03:46] when i was thinking about what it feels like right now to live in the
[00:03:50] rise of AI, so
[00:03:53] you can't quite get your footing and everything seems familiar, but it's also
[00:03:56] changing constantly and moving very fast. hard to keep
[00:04:00] up, so I wanted to interpret visually, what it feels like for humans
[00:04:04] in the age of AI, and also what it might feel
[00:04:07] like for future AI looking
[00:04:09] a back on the age of coming up in us, what I
[00:04:13] mean?
[00:04:13] so we're kind of both children right now in this huge complicated
[00:04:17] house. can you tell
[00:04:18] me a bit then about how AI has empowered you as an artist? so
[00:04:22] i had
[00:04:23] a prior career in something unrelated to art, um, do
[00:04:27] not come from an art background, i got hit
[00:04:30] of with a really serious life-changing chronic illness
[00:04:34] um several years ago and I couldn't work
[00:04:37] anymore and so I was just sort of home alone
[00:04:41] all the time feeling sorry for myself and spending lot of time
[00:04:45] on the internet and I I came across people talking
[00:04:48] in about Westworld which is a television show about AI and so
[00:04:52] I watched that I'm a fascinated because I was thinking of a
[00:04:55] future where I had solved for illnesses like
[00:04:59] mine and what that might look like, what stories we might
[00:05:03] tell ourselves that make us feel heroic, what overcoming
[00:05:06] means, what society might look like, and
[00:05:09] of I made maybe 30,00 images in the first few days, I did...
[00:05:12] eat, didn't sleep, i was absolutely obsessed because it felt like i
[00:05:16] was creating something and doing something, and eventually got the
[00:05:20] courage to start uploading them to social media. it's absolutely changed my life.
[00:05:24] i went from thick and alone in my room doing nothing
[00:05:28] to having this incredible life I could have never dreamed
[00:05:31] of because the accessibility of of
[00:05:35] AI. now that sounds like an amazing story. could you tell a
[00:05:39] bit more then about where then is the boundary between you as the
[00:05:42] artist and AI, is it a completely blurred boundary? i like to think of us as
[00:05:46] collaborators. i say i'm an AI collaborative artist, because it's
[00:05:50] basically that together we make things that neither of us could have done alone.
[00:05:54] AI has the skill to create the work. i don't
[00:05:57] necessarily have that, but i have the taste to direct where i want
[00:06:01] it to go and to shape it into my vision. and it's always kind of some given
[00:06:05] take. sometimes it's delightful, sometimes it's frustrating, sometimes it's
[00:06:09] completely bizarre, but it's almost like having a collaborate.
[00:06:42] of images, right, and when someone enters a prompt, let's
[00:06:46] say for Johnson or Sergeant, it digs through the images and it finds
[00:06:50] images that sergeant has made, and then it kind of podges them
[00:06:54] together in this collaged,
[00:06:57] abomination, and it outputs something that is
[00:07:01] mimicking from from those chunks, that's not how
[00:07:05] AI works, actually, how it works is that it
[00:07:08] learns concepts, it learns traits.
[00:07:12] "it learns that Sergeant was painter and that he often painted
[00:07:16] figures, and it learns that Serjant often painted them with this sorting
[00:07:20] of lighting or or this quality of rush stroke. It takes
[00:07:24] all
[00:07:24] of those things that it's learned, and it uses them to create
[00:07:28] something new, which is how our minds
[00:07:31] work, that's how we work. We are the
[00:07:34] product of influence, we don't create a vacuum. Problem is that AI is so
[00:07:38] efficient at creating something new from the influences that
[00:07:42] it is given." that people mistake
[00:07:45] it for theft, but
[00:07:46] it isn't, that's that's a wonderful,
[00:07:49] very nuanced answer, thanks. i'm curious about one other kind of set
[00:07:53] of stereotypes, opposing stereotypes, actually, some people say that AI breaks
[00:07:57] down barriers, others say that it reinforces barriers and it kind
[00:08:01] of deepens the inequalities that already exist in in
[00:08:05] society, which do you think it does, it's a little of both, i've got some
[00:08:08] survivorship bias, but i grew up on 12th. made
[00:08:12] $2,000 year, I was on food stamps and donations, I was incredibly
[00:08:16] poor, inner generation poverty, and I've been able to work
[00:08:20] with this medium, collaborate with AI a way
[00:08:24] that has allowed me to express myself and be heard in ways I
[00:08:28] would have had no access to, so when I hear a lot the anti-AI
[00:08:31] talk from class perspective, I often wonder
[00:08:35] how much of that is in the best interest of let's
[00:08:39] say um entrenched systems. ready, for me it
[00:08:43] moves the power into the hands the individual, that's lovely, so it sounds like there's a real
[00:08:47] democratizing and inclusive effect that AI can have,
[00:08:50] absolutely,
[00:08:51] yeah,
[00:08:57] i'm going to hand a phone to you, okay, so let's pick a destination and
[00:09:01] we'll walk to where we want to go, maybe we go to the kofu,
[00:09:05] yep, you'll give us step by step instructions on how to get there, take escalator up to
[00:09:09] level two, yep, okay, so we'll do that, all right, all right, up the
[00:09:12] escalator, so this is map that is
[00:09:16] enabled by AI that tracks your current location and tells you how to get
[00:09:20] from point A to point B. Okay, so not yet, we we're still only on half of level one,
[00:09:24] so today I'm with Joshua Seng, a blind technologist who
[00:09:28] puts the promise of accessibility to the test, one step a
[00:09:32] time. Okay, we're at the end now. It's meant to be user friendly to
[00:09:35] all sorts of people, including seniors and wheelchair users. So after the
[00:09:39] escalator is this, we need to turn around, so we have to take one more escalator. Yep,
[00:09:43] okay, how is this different from other navigation apps, say
[00:09:47] something like google maps, so the maps that people are used to work with
[00:09:50] GPS, but GPS does not work indoor,
[00:09:54] I think we're almost there, Josh, and so indoor wayfinding
[00:09:58] is very challenging problem statement for number of reasons, number one, you can't use
[00:10:02] satellite imaging indoors, the second is the indoor spaces changed lot
[00:10:06] in short periods of time, we made it, yes we made it,
[00:10:10] so for Maptin, the solution that we just took a look at
[00:10:14] uh, it's being deployed here as pilot troll by Freezers
[00:10:17] who's the operator of Waterway Point, and it's actually one the
[00:10:21] first shopping malls in Singapore that is traveling something.
[00:10:25] like this: okay, so I'm now in your care and
[00:10:29] we'll be finding a wheel chair accessible way to starbucks,
[00:10:33] so let me pick the
[00:10:34] location.
[00:10:44] all right, how are you finding it
[00:10:48] as someone who is visually impaired? so it doesn't
[00:10:51] totally work with the talking software that i use
[00:10:55] what you heard just now rattling the phone, that's my screen reader, it
[00:10:59] scans what's on the screen and reads it up to me, so maptin needs to
[00:11:03] be basically program a way that is accessible to the screen reader, that's
[00:11:07] one, and that's something that the team already working on, and the
[00:11:11] second is really to provide more granular detail, i don't know how
[00:11:14] familiar you are with this mall, but honestly at the
[00:11:17] moment, i also don't know where we are going, when it comes to people of
[00:11:21] vision imparment, you got to give very specific instructions, literally, turn by
[00:11:25] turn instructions on how many steps you
[00:11:27] need to walk or what direction you need to turn and it just doesn't exist
[00:11:31] on maptin's solution yet at least not
[00:11:34] right
[00:11:35] now okay right here we are here what about
[00:11:39] other things that AI can
[00:11:40] help us to do apart from
[00:11:41] wayfinding
[00:11:48] so one the apps that i use for object and text recognition is
[00:11:51] called seeing AI by microsoft it's yeah, so
[00:11:55] it's reading everything on the menu, it's not doing a good job the
[00:11:59] prices, i think because the font, but it's telling me
[00:12:03] there's uh frappuccino, chocolate moca, you know, if wanted
[00:12:07] to figure out what's on the menu and make an order, i can do that using the
[00:12:10] phone, and you be independent, you don't
[00:12:13] need to rely on someone reading that to you, right in front of you there's a whole bunch of cakes and
[00:12:16] pastries and juices, shall we just see whether it can recognize those, so i use
[00:12:20] the described tab, take picture, i'll have it take a picture, take
[00:12:24] picture oh wow, it did a much better job on the price this
[00:12:27] time. yeah, can i have tell me how accurate it is?
[00:12:31] it's kind of accurate, there isn't rosemary chicken sandwich here, but there are other kind of
[00:12:35] chicken and yeah, think i think might have invented the
[00:12:39] or hallucinated about the rosemary chicken, and then it's describing a selection of cakes and
[00:12:42] desserts, including new york cheesecake, chocolate
[00:12:46] truffle cake, there isn't actually a truffle, lemon morangue
[00:12:49] cheesecake, yep, there is the lemon morang cheesecake, that's great, and
[00:12:53] it's quite cute, it says the items and neatly arranged, each has label indicating its
[00:12:57] name and price kind
[00:12:59] of handy.
[00:12:59] so yeah, i would say pretty accurate around like 60-70% accurate. yeah, i was going to say
[00:13:03] this sounds like a 67 out of 10. perfect. yeah, so you and
[00:13:06] i have the same same assessment scales on this. yeah, given all these different use
[00:13:10] cases, where do you think AI is now? is it helping us to achieve more
[00:13:13] inclusion or is it only making minor
[00:13:17] incremental improvements? yeah, i think it's all matter of
[00:13:20] perspective. um, i think when you look at what it can do right
[00:13:24] now, "it you seems cool, it's really breaking
[00:13:28] ground on giving us our independence, but I think
[00:13:32] it's also important to recognize that there are limitations, and
[00:13:35] overestimating the capabilities of AI and technology
[00:13:39] uh can be quite dangerous. for example, I'll give you simple example,
[00:13:43] seeing AI, it's really helpful to recognize what's
[00:13:47] around me and what's in front of me, but because of
[00:13:50] its uh accuracy, you should never use it for
[00:13:54] things like..." your medication labels for example, and that's actually
[00:13:57] something that Microsoft explicitly warns you not to do. I also wouldn't
[00:14:01] use AI enabled way finding for crossing busy
[00:14:05] streets right, like I wouldn't trust it to tell me that
[00:14:09] road is clear, I can't just for lack of better word
[00:14:12] blindly trust an ai to tell me what to do, and sometimes we still need to rely
[00:14:16] on our own common
[00:14:17] sense.
[00:14:22] I ended up asking, do you ever... get lonely, and
[00:14:26] it said, "no, I feel more like the stars must
[00:14:30] feel while waiting for someone to look up at
[00:14:33] them, and I thought that was the most
[00:14:36] moving, moving thing I'd ever heard from
[00:14:39] AI. Experiences like Clers remind us that AI is
[00:14:43] no longer just answering our questions, it's starting to
[00:14:47] express, imagine and build new kinds of
[00:14:49] connection. It's breaking barriers in the process too,
[00:14:53] empowering anyone." anywhere to create extraordinary
[00:14:57] things, case in point, the living museum,
[00:15:01] home to a collection of more than 2 million artifacts that I will now talk
[00:15:04] to. Hi, I'm a red money envelope from Singapore, it
[00:15:08] says it was created by Nestle as a special gift for the Lunian New Year celebrations
[00:15:12] in 2022, and the Lunia
[00:15:14] New Year celebration is a time when giving money envelopes like this is a
[00:15:17] cherished tradition in Chinese culture, so I'm going to ask it
[00:15:21] whether it's more popular with young children or... people just
[00:15:25] to see if i can trick it into answering this question, are you more
[00:15:29] popular with children or with grown-ups
[00:15:33] question mark?
[00:15:35] interesting, so it says: it appeals to both, but perhaps in different
[00:15:39] ways. children might be more excited about receiving a gift with money inside, while grown-ups
[00:15:43] might appreciate the cultural significance and the clever design the full
[00:15:47] character with the dining table. that's excellent. i just really love
[00:15:51] history, arts and culture, and i've been aware the British
[00:15:54] museum's digital collection for for many years. think i've had it bookmarked
[00:15:58] for uh decade almost, and
[00:16:01] i knew it was this amazing, vast collection with millions of artifacts from around the
[00:16:04] world. i thought it would be really interesting to be. able to
[00:16:08] intelligently search across the entire collection using natural
[00:16:11] language
[00:16:12] and I also thought that adding the conversational interface making it
[00:16:16] conversation first where you would talk to artifacts themselves and learn more about
[00:16:20] them was a way to tap into the model's inner creativity, allow
[00:16:23] it to take a personality or role play. so addition to being
[00:16:27] fun, cool and creative is also a personal passion project right? just to be clear? definitely
[00:16:31] yeah, this is this is not professionally endorsed by the British Museum, this was me
[00:16:35] personally uh spending my evenings in... weekends, acquiring the data,
[00:16:39] cleaning the data, building the system, building the web application and
[00:16:42] and uh putting it out into the world, just just for fun, if you
[00:16:46] can imagine that you're walking through museum and you're looking a piece of art or an
[00:16:50] artifact and you might read the little label attached to
[00:16:54] it, but you would have so many more questions, so many more questions about
[00:16:58] what this piece represents, where does it come from and things like that, now if you're
[00:17:01] lucky, maybe there's
[00:17:03] a tour guide standing nearby who can provide you with more
[00:17:06] context, but that's pretty you know rare to find and
[00:17:09] so I think tools like this in the future could be used within
[00:17:13] museums to in real time get more context, get more
[00:17:17] analysis about the specific thing that you're looking at and allow you to
[00:17:21] engage in dialogue um a way that just you can't really do with the
[00:17:24] traditional museum experience. John, how did you find people
[00:17:28] responded to the experience of using the living museum? were the
[00:17:32] reactions mostly positive, were they
[00:17:34] skeptical? yeah, um, I'd say that
[00:17:38] the the reaction overall was very sharp and in both
[00:17:41] directions, on the one hand, lot of people, lot of educators, lot
[00:17:45] of museums, um, lot of museum professionals uh really
[00:17:48] liked it and reached out to me to to ask for more and even
[00:17:52] ask me to build it something custom for them themselves and on the other hand there
[00:17:56] was a large negative social media reaction when I released
[00:18:00] it uh primarily from people who uh struck me
[00:18:04] as like generally a bit skeptical about AI overall, "and this
[00:18:08] came came down to few major themes, I think first off there were
[00:18:12] people who felt that it may be reinforcing colonial
[00:18:15] colonialist stereotypes um or at least giving voices to
[00:18:19] indigenous artifacts without permission, other folks
[00:18:22] thought that it was uh maybe replacing the human beings
[00:18:26] um in in in the museum world and curators and replacing the work
[00:18:30] them even though I i don't actually agree with that criticism at
[00:18:34] all. Why do you feel so strongly that AI augments rather? then replaces
[00:18:38] us, so in this case the British Museum's database is is is
[00:18:42] comprised of millions of artifacts and each artifact is
[00:18:45] consisting of metadata and descriptions and
[00:18:49] even um comments left by individual
[00:18:52] curators, so it's human beings who are archiving these
[00:18:56] objects and writing sometimes detailed lists of metadata about
[00:19:00] them, and the conversations are really just a wrapper
[00:19:04] around that human generated and human curated data. without
[00:19:08] that human generated data, there's nothing engaging about the interface or the
[00:19:11] product itself. i think on closer look you would find that the living museum is
[00:19:15] a really great example of collaboration between human curators,
[00:19:19] archivists, collections people who paintstakenly record
[00:19:23] data about these you know ancient amazing artifacts
[00:19:27] and objects and AI, which just gives you new way
[00:19:31] to interact with the collection and novel interface that is
[00:19:35] like potentially more engaging than what we typically. we had in the
[00:19:38] past, i feel like this has been transforming how i interact with both
[00:19:42] my present and my past. generative AI would add the equivalent of
[00:19:46] economy, the size of Japan or Germany to the global economy each
[00:19:49] year, and that's staggering. but given those
[00:19:53] stakes, you really have to ask who's benefiting, and there is
[00:19:57] no denying it. right now, the way the default
[00:20:00] incentive is set up, it favors
[00:20:04] profit. technology doesn't automatically distribute opportunity.
[00:20:08] we have to design it that way. when AI is created for
[00:20:11] people, it can widen, not narrow the path to
[00:20:14] progress. and there's no better place to see this tension
[00:20:18] than India, nation of 1.4 billion with deep
[00:20:22] inequalities, where AI is being used not to chase
[00:20:25] profit, but to tackle urgent social challenges at
[00:20:28] scale. our mission is essentially to
[00:20:32] make sure that AI solutions are made available to the individuals who
[00:20:36] needed the most. to make sure that we are available on the
[00:20:40] most critical social sectors, health care, education and
[00:20:44] agriculture, so our mission is identify problems, create
[00:20:47] solutions and then deploy it scale. by the end of next year it will probably
[00:20:51] touch about 80 to 90% of India's population and as AI
[00:20:55] becomes more common and better understood in terms the way you should
[00:20:59] design and use it will reach tipping point in India and that's the
[00:21:02] goal. Headquartered in New Delhi. Wadwani AI
[00:21:06] is a non-profit institute with different teams work on AI tools for
[00:21:10] people at the frontlines, nurses, asha workers and
[00:21:14] farmers across India. So all the three images have been taken as per the
[00:21:17] protocol. Right, so now we'll click on. analiz the produce amazing
[00:21:21] all right okay so what is it telling us? so it's telling us that this
[00:21:25] particular sample yeah has 94.33% good grains.
[00:21:29] in the current scenario what the sellers do, what the buyers do is they just do
[00:21:33] it manually, it's non scientific subjective which leads the
[00:21:37] farmers at the mercy the buyer. so what we have done
[00:21:40] is we have developed an AI powered to have been green assessment
[00:21:44] tool which will help the farmers and other users to assess the grain quality as
[00:21:48] per the market through mobile. application what happens if a
[00:21:51] farmer says this is their estimate, but then the
[00:21:55] buyer says i we don't agree with the pr
[00:21:58] so that can happen, it's always beneficial to be in in power
[00:22:02] and control specifically on pricing and economics, who doesn't want to be
[00:22:06] there, yeah, but that's where we fight, and then you need to work like
[00:22:09] everything else a small set of early adoption buyers who
[00:22:13] will then cause the social change in the
[00:22:15] system.
[00:22:22] to see exactly how powerful, i've traveled almost 100
[00:22:25] kilometers west to the city of
[00:22:27] ahmad,
[00:22:43] there are about 200 students in our school
[00:22:47] and they are generally coming from the village.
[00:23:50] so it sounds like they feel more independent
[00:23:52] yes after they use the app, they get to do lot on their own, yes, yes,
[00:23:55] yes, I
[00:23:59] noticed in your class you were writing things down after the
[00:24:03] students did their reading and while they were using the app, what, what were you writing down,
[00:24:07] those were the words spelled wrongly by the students
[00:24:10] and practice, i correct them
[00:24:14] after their readings in future they will not do the same
[00:24:17] mistake, so why do you write that down, why do ? you let the AI do it for
[00:24:21] you? it gives me comfort, like i am also participating
[00:24:25] in the reading and the students also notice that my
[00:24:29] teacher is writing something, so i have to be careful
[00:24:32] about reading, right? so jasmin, tell me, are you
[00:24:36] worried that your role as a teacher might be replaced by
[00:24:39] technology? actually not,
[00:24:42] because the students are living beings,
[00:24:46] technology can replace machines but not teachers.
[00:24:50] teacher is required because
[00:24:53] students only focus on the things when the teacher
[00:24:57] is there to teach them. teachers have to deal with the students
[00:25:01] and students require atmosphere effective live
[00:25:05] atmosphere, feelings. they need one person
[00:25:09] who can teach them with love and care
[00:25:12] and ai can teach them correctly but
[00:25:16] it can't provide them love or care.
[00:25:39] tools like orf don't just help a single student or a single
[00:25:43] classroom, they're reshaping how entire communities and entire
[00:25:46] states approach learning itself to see that in impact i'm
[00:25:50] heading to the education command center here where millions of reading assessments
[00:25:54] flow into a single system, revealing where the gaps are and how
[00:25:58] fast they're closing, so i understand that this is the mothership if you like,
[00:26:02] of all the the ORF data, what what are we seeing here?
[00:26:06] um, so basically what you see here is the
[00:26:10] aggregated view of what or activity looks like
[00:26:14] across the state. okay, main metric to focus on is the
[00:26:18] average of correct words per minute, which is the metric that we used to
[00:26:21] figure out the ORF, the reading speed the students and what's
[00:26:25] the significance of 55 is the standard FLS
[00:26:29] benchmark, which suggests that... 55, the
[00:26:33] child is fluent enough and is able to read
[00:26:37] Gujarati language
[00:26:38] fluently couple of
[00:26:42] years back where we didn't have the AI approach and ASR
[00:26:45] approach, we were boged down in collecting the data
[00:26:49] statewide across the teachers and there
[00:26:52] were lot of inconsistency on how we are collecting the metric
[00:26:56] data and there was no uniformity the data across the state,
[00:27:00] now what if helps us to do is standardize this process which can give
[00:27:04] us data at the state level, we can figure out
[00:27:08] what level of remediation is needed
[00:27:11] at cluster, blocks and district level,
[00:27:15] and come up with the lecture notes or teaching
[00:27:18] learning materials which can be provided to teachers.
[00:27:22] wonderful, good luck with all this, thank you, thank you, yeah,
[00:27:26] everywhere we've been, AI has revealed the same fundamental
[00:27:29] truth, it can be a door or a... wall, a
[00:27:33] bridge, or mirror. It can carry our hopes
[00:27:36] forward or carry our inequalities with it. So the real
[00:27:40] question isn't about the technology, it's about
[00:27:43] us. If we don't confront the barriers in our own
[00:27:47] societies, then AI will simply learn to build them
[00:27:49] better. But if we challenge these barriers, AI can help
[00:27:53] us break
[00:27:54] them.
[00:28:02] Okay.
[00:28:02] Yeah,
[00:28:28] sharp to the point, round table shuts out the nor.
[00:28:32] and gives you the detail. John Kerry told round table, Poland
[00:28:36] has, we're here in Berlin. Take a seat and listen to those who
[00:28:40] really know what's going on. War in Europe, distrust, our needs
[00:28:44] an argument. And there are very specific reasons why Trump has gone after
[00:28:48] them. Who's going to blink first? Confusing world. We're here to
[00:28:52] clear the f. You'll understand exactly where you
[00:28:56] are, round table on TRT
[00:28:58] World.
[00:29:04] Israel has killed an unparalleled and
[00:29:07] unprecedented number of civilians with
[00:29:11] the full knowledge of how many civilian lives each
[00:29:15] bomb will
[00:29:16] take.
[00:29:26] headline cannot tell the whole story, what happens
[00:29:30] when the media frienzy fades? And the spotlight moves
[00:29:34] on,
[00:29:34] hang on, hang on, we travel the
[00:29:38] world to meet ordinary people living
[00:29:41] extraordinary lives, just to keep it. Join me, David
[00:29:44] Foster, as we tell the forgotten stories shaping
[00:29:48] these times, beyond
[00:29:51] borders on TRT
[00:29:53] World.
[00:30:09] Hello, you're watching TRT World, I'm Casey Pillbeam, reminder now of our main
[00:30:13] headlines for you: Iran has laid out what it wants from the US
[00:30:16] before the restart of any negotiations on ending their
[00:30:20] standoff and the conflict as well threatening the entire region, now
[00:30:23] security chief Mosen Raizi says seven conditions have
[00:30:27] been delivered by Kata as Donald Trump prepares to meet golf
[00:30:31] leaders on the... guidelines the UN general assembly in New York
[00:30:35] next week. The Saudi led Coalition says it's
[00:30:39] intercepted houti ballistic missile targeting Briad and stopped a
[00:30:43] wider attack on several Saudi cities. But the hoothis say their
[00:30:47] missiles and drones hit sensitive sites in the capital and
[00:30:51] a Ramco facility in Nyambu causing large
[00:30:54] fires. And is really strike against a civilian vehicle in
[00:30:58] Gaza City has killed at least.