Bosnia and Herzegovina: N1 Bosnia and Herzegovina

20260816 01:00 UTC · 00:30:59 · 517 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.

00:00:06of
00:00:14This of of is GPS, the global public square, welcome to all of you in the
00:00:17United States and around the world, I'm Farid
00:00:20Zakaria. Today on the
00:00:23program, I will talk to the CEO of Microsoft,
00:00:27Satya Nadela. I want to know how he
00:00:31thinks about artificial intelligence, is it
00:00:34bubble or is it the industrial revolution times
00:00:3810? will it destroy most jobs and has
00:00:41China's technology caught up with the US? all
00:00:45that and more.
00:00:48also Venezuela's opposition leader Maria Korida
00:00:52Machade. she won the
00:00:56Nobel Prize for her work promoting democracy and she's now
00:01:00me living in exile. b say she would win an
00:01:03election back home
00:01:04in a landslide, but
00:01:06of reports are that the Trump
00:01:08of administration has barred her from going
00:01:10home. what is going
00:01:13on? i will ask
00:01:15her.
00:01:20but first here's my take: this week britain installed its
00:01:24seventh prime minister in barely decade. france has churne
00:01:28through almost as many. in
00:01:30of just few years. its next president may well be
00:01:33of the once outcast Marine Lepen. In Germany, the far
00:01:37right AFD, tiny just few years ago, now
00:01:41poles in first
00:01:42of place. Even East Asian democracies often viewed as
00:01:46stable, cautious, even boring, have seen governments in
00:01:50Japan, South Korea and Taiwan struggle in the midst of growing
00:01:54public anger. And where the popular are in power,
00:01:58the situation doesn't seem that different. Donald Trump now hovers
00:02:02near the lowest approval ratings of any modern American
00:02:05president at this point
00:02:07in a presidency. Can modern
00:02:10democracies function? Across the democratic
00:02:14world, many countries tax, borrow and spend exorbitant
00:02:17amounts. Spending now averages more than 40% of
00:02:21GDP in the OECD countries, and the debt to GDP
00:02:25of ratio in those countries has more than doubled over the last 30
00:02:29years. but people don't seem to think they have
00:02:32benefited. why has this happened? some of it
00:02:36is economic, expensive housing, stagnant incomes and a
00:02:40widening
00:02:41of inequality problem have fueled public anger. but economics
00:02:45is only part
00:02:45of the story. america has enjoyed stronger growth than most
00:02:49other advanced economies. france
00:02:52of under Macron has lowered unemployment, and it has attracted more
00:02:55foreigner investment than any country in Europe for seven straight
00:02:59years. According to an Ernston Young analysis, South Korea is
00:03:03economic success story. Japan was experiencing a
00:03:06comeback, yet democratic governments almost
00:03:10everywhere are unpopular. The
00:03:14larger explanation is that we are living through one of history's great
00:03:17technological revolutions, and these transformations always
00:03:21produce deep anxiety and fear. The
00:03:25last technological transformation on this scale came between
00:03:29roughly 18. 18 and 1920 electricity,
00:03:33the telephone, railroads, the automobile and
00:03:36me movies overturned entire industries and ways of life,
00:03:40millions left farms for cities,
00:03:42in global trade disrupted local
00:03:44in economies, new fortunes appeared overnight while old
00:03:48occupations disappeared. In this turmoil,
00:03:52frustration and anger found political
00:03:55pathways, the left turned to communism, the right
00:03:59to fascism. What followed were new mass movements, cultural
00:04:03uphevals and world war. Our own
00:04:06revolution is digital rather than electrical, beginning with
00:04:10computers, then the
00:04:11of internet and then smart phones, social media, and now
00:04:16of AI. The ladder might prove more
00:04:18transformative. As Deep Minds Demus Hasaba said last
00:04:22week, we've essentially found a
00:04:24me way
00:04:25in to make sand think. Silicon trips are made of
00:04:29sand. "the ability to mass produce intelligence
00:04:33that gets more powerful every
00:04:35of month is surely the greatest technological triumph in
00:04:39history, but that means it could be the most
00:04:43disruptive. the great political scientist Samuel
00:04:46Huntington noted, the primary problem of
00:04:50a politics is the lag in
00:04:52the development of political institutions behind social and
00:04:56economic change.
00:04:58of large scale change causes. anxiety and anxious societies
00:05:02ask more of politics, citizens want leaders to restore
00:05:06order, provide security and help them regain a sense of
00:05:09control over forces that seam increasingly beyond
00:05:13anyone's grasp, but while today's technology
00:05:17dramatically increases expectations, it also makes
00:05:20democratic governments less capable by
00:05:23comparison. we summon a car these days in three
00:05:27minutes, package arrives the same day. artificial
00:05:31intelligence answers complicated questions in seconds, doing work that
00:05:35took people months in mere minutes.
00:05:38naturally citizens begin to expect similar efficiency from.
00:05:43but democracy is not designed for speed, it's designed for
00:05:46legitimacy. it bargains, compromises, consult
00:05:50independent courts, protects vulnerable groups and balances
00:05:54competing interests. those safegards are precisely what distinguish
00:05:58democracy from authoritarianism. yet an age
00:06:01shaped by technologies warp speed, these
00:06:05increasingly look like paralysis. social
00:06:09media widens the gap, every governmental mistake. becomes
00:06:13instantly visible, every disappointment becomes
00:06:16viral controversy, every frustrated citizen can
00:06:20mobilize thousands of others before governments have even begun to
00:06:24respond. this helps explain the strange
00:06:28trajectory of modern populism. politicians such as Donald
00:06:31Trump, Jayer Bolsonaro, Havier Melley and others rose
00:06:35to prominence, promising to bulldose through institutional
00:06:39gridlock, yet once in office most... have encountered
00:06:43the same reality as the leaders they displaced. Today's
00:06:46insurgents quickly become tomorrow's disappointing
00:06:50incumbants. People don't seem to have lost
00:06:53confidence in democracy. They have not turned their backs on
00:06:57elections, constitutions and independent courts,
00:07:01but they are deeply unhappy with democratic
00:07:03performance. Democracies must once against
00:07:07prove that they can build housing and infrastructure, modernize
00:07:11public services, manage technological change, reduce
00:07:15inequality, and do so with urgency and
00:07:17effectiveness. History offers some grounds for
00:07:20optimism. free societies often look weakest in the
00:07:24midst of great technological because they move slowly and
00:07:28argue constantly, yet over time they have usually
00:07:31adapted better than autocracies precisely because they
00:07:35can learn, correct mistakes and change course
00:07:39without violence or repression, democratic
00:07:43leaders should not try to outrase technology, they
00:07:46can't, but they should prove through relentless focus
00:07:50and competence that democracies can
00:07:53deliver, then people will understand that the
00:07:57friction of accountability and the weight of
00:08:00legitimacy are not bugs in the system, they
00:08:04are the features that keep us free. go to
00:08:08fried zakaria.com for a link to my washington post column this week
00:08:11and let's get:
00:08:12Started:
00:08:23artificial intelligence is fueling the American economy right
00:08:26now. The appetite for anything AI related seems never ending
00:08:30as tech companies rush to build data centers by chips and
00:08:34fuel technology development. But so much of this spending
00:08:38is one massive bet and many of Wall Street are worried about.
00:08:42whether they will see returns on these investments. Here's
00:08:46part one of my exclusive interview with Satya Nadela, the CEO of
00:08:50Microsoft. Satya Nadela, welcome to the
00:08:53show. Thank you so much Farid for having me. Are we
00:08:57an AI bubble and has it begun to deflate?
00:09:01You have a 30% stake in open AI. They have promised to
00:09:04spend hundreds of billions of dollars. They make
00:09:08tens of billions of dollars. They'll make 25 billion dollars this year.
00:09:12revenue, it just feels like the the math doesn't add up and
00:09:16there is going to be moment of truth, am I wrong?
00:09:20i i think the moment of truth really more is the
00:09:24following: the way look it is this is new input, this is
00:09:28new general purpose technology that is going to drive productivity
00:09:32and that productivity has to translate into very broad speed
00:09:35economic growth that is economy wide in terms of GDP
00:09:39growth, and if we don't see that, then we are going to
00:09:43have a problem, so unless we see the that broad economic
00:09:47growth, we are not going to you have this movie and well,
00:09:51but I am all about how do you ensure, not any about
00:09:54any one firm, right, quite frankly, it's about every firm in the
00:09:58economy right, whether it's a small business, whether it's a large
00:10:01multinational or a public sector institution, can
00:10:05they see real benefits of this technology, we are in the early innings
00:10:09of it, but there's real proof points of that so... The big news
00:10:13this week is that a Chinese firm Moonshot AI released
00:10:17a model Kimi that is open source
00:10:21open weight which means you can kind of see the inners of it which American.
00:10:25firms by binage do not allow, people think it's
00:10:29very, very good, almost as good as the top American
00:10:32models, um, is it not likely that the
00:10:36most the world is going to adopt these
00:10:39open-weight Chinese models, because they
00:10:42are much cheaper, they can do mostly what you need to
00:10:45do, you know, most companies are not
00:10:48using uh AI to solve Firmats theorem,
00:10:52they're using it to rationalize the... inventory
00:10:55systems or things like that, so is this, does
00:10:59this mean China has an
00:11:01edge? I when I think about
00:11:05let's say American competitiveness in the digital sector
00:11:09or in the intac, it's always come from not
00:11:12any one thing, but it's come from this approach I think the
00:11:16US has always taken, which is the equal system approach all over the
00:11:20world, it's been export led, it's been about trust in our
00:11:24technology. Right, so for example, even take the Chinese models, guess what, where
00:11:28these models run? They run a lot the
00:11:32hyper scalers that are American all over the world, in fact that's
00:11:36good, because we then, these are open weight models that means we get to
00:11:39monitor them, we get to test them, we get to post strain them, so when
00:11:43tinker machines or thinking machines releases new model, is that an
00:11:47American model, is it a Chinese model, there may have been a base model that was
00:11:51Chinese, but they've done post training, they've released it, so I think that...
00:11:55"one the things that's lost in this is the
00:11:58understanding even of how the US became competitive in the
00:12:02first place, they didn't become competitive because of one invention, they
00:12:06became, we became competitive because we took our technology, we built
00:12:09a rich ecosystem where others could participate in other
00:12:13countries and trust our stewardship of this
00:12:16ecosystem, and as long as that remains we
00:12:20will absolutely be competitive and we will win, and Chinese will have
00:12:23role in it, whether it's in the open-weight models or other
00:12:27technologies, but it's not about that zero sum, it's about really
00:12:31thinking ecosystems. next on
00:12:34GPS, many people are worried about how AI
00:12:38uses their data, it may come as a
00:12:41surprise, but so is Satya Nadela. We'll discuss
00:12:45when we come back.
00:12:49Microsoft CEO Satya Nadella made headlines earlier this month when he
00:12:52warned that companies using Air. pay for
00:12:56intelligence twice, once with their actual payments to the
00:13:00AI firms and again with something even more precious,
00:13:04their data and their unique knowledge. In other words, asking AI
00:13:08questions doesn't just result in answers for us, it tells
00:13:11AI what we're thinking. This creates what Nadella has spend, the
00:13:15reverse information paradox, where AI models and
00:13:19their providers are the ones gaining more knowledge and
00:13:23overwhelmingly reaping the... benefits: more now of
00:13:27my conversation with satya nadela. so this is something
00:13:31you've been quite vocal about the idea yo put it in lemon's terms that
00:13:35every time you use an AI model you're giving them your data,
00:13:39you're giving them your thought your thought process and they're essentially
00:13:42stealing that and making their models better and eventually they
00:13:46they have all that information you don't a version of this happened to the
00:13:50media companies in the newspapers and
00:13:53magazines when Google and internet came
00:13:56about, so there's two arguments against this,
00:14:00one, what you're describing is of course very beneficial for Microsoft,
00:14:04because your business model relies on commoditizing that space,
00:14:08and then putting value where Microsoft has lots of
00:14:11products, is it feasible, is there a way in
00:14:15which you can take advantage of AI and still
00:14:18control your your data and your reasoning, particularly
00:14:22for average person, maybe a fancy company. like yours can
00:14:26do it, but how does an, how does an individual say, look, I do want
00:14:30to use AI, but I want
00:14:31to in some way be in charge of my
00:14:33data? 100%. so in fact, this
00:14:37is the the real question, right? because my thesis is simple, which is if
00:14:41the firm has to exist, let's take, let's leave consumer markets
00:14:44outside, because to some degree there's got to be some value exchange
00:14:48in the consumer space where you're getting something for free, maybe for your data, that's
00:14:52sort of how the advertising business model has worked. so let's leave that aside,
00:14:56but at the firm level, this is the first time where the decision should be,
00:15:00okay, I a firm that creates knowledge, and I
00:15:04need that knowledge to stay inside the firm. I not only have human capital,
00:15:08but now I'll have increasing levels of token capital. The
00:15:11only way to preserve that is what I describe as your
00:15:15control over ensuring that the reverse information paradox doesn't
00:15:19happen right, which is every time you use the model, all the
00:15:23metadata around it. is sort of retained by you so that you
00:15:27could use all of that to train perhaps your own weights or
00:15:30your own model and to me that's what i think is going to be
00:15:34absolutely you know you if you go back the
00:15:37patterns, copyrights, trademarks, all were created to protect
00:15:41the seller, this is the first time where we will need to have, i would say
00:15:45even the rights that protect the buyer, but even
00:15:49short of that, in the immediate term, there is an technical approach
00:15:53that's kind of what i wrote in my post that you could take uh to protect
00:15:57yourself right, where not only are you able to use the frontier
00:16:00models, but for example by keeping the harness separate from the model,
00:16:04the context and memory separate from the... model, you
00:16:08absolutely can use multiple models for what they're great
00:16:12at, at the same time any one model can go away and you can still
00:16:16continue to be in sort of control of your own destiny, and
00:16:19so to me there is an absolutely an approach
00:16:22and that's what
00:16:22a sensible approach, and it's
00:16:24of course not what Microsoft does, but it's not
00:16:28about a firm specific thing, because any firm that doesn't have
00:16:32this control, I will claim will not remain a firm because you've
00:16:35essentially outsourced your thinking. Let ask you about the future of work.
00:16:39Microsoft employs about 200 thousand people, but the
00:16:43number of AI programs and programmers, what people call
00:16:46agents, it's probably two million or 20 million
00:16:49soon. Um, is is it likely that
00:16:5310 years from now, Microsoft will either have the same number and
00:16:57not have grown or maybe even have fewer. Given the
00:17:01amount of work and the kind of quality of work,
00:17:04Anthropic says almost all its code is now. written at
00:17:08the first level by by computers, by
00:17:11AI, what happens to human beings? yeah,
00:17:15it's a great question, you know, if you think about this is the the real
00:17:19challenge in all these transformations right,
00:17:21the lump of labor fallacy and our lack of imagination get in the way right, which
00:17:25is if you sort of somebody came to us frid in the early 80s
00:17:29and said, hey,
00:17:30you know what, the billion people are going to get up in the morning and start
00:17:34typing, we would have said, why does the world need the million?
00:17:38except we invented in the last whatever 40 years this
00:17:42entire economy of knowledge work and
00:17:46all of us went to work it in different roles and so that's the type
00:17:50of transformation even inside of Microsoft right, what does it mean
00:17:54to be software engineer is changing because at some
00:17:58level these coding agents have made all of us right, creating a
00:18:01document
00:18:02or software program to some degree are now the same,
00:18:06does that mean some? how the specialized deep systems
00:18:10engineer who we still needed in order to be able to build the
00:18:13distributed systems in azasure goes away, no chance, but
00:18:17will anyone be able to create an app that required
00:18:21in the past some IT, absolutely, and so as that
00:18:25change diffuses, i think the core spine
00:18:29the organization, how we are organized, what functions we
00:18:33have, the work artifacts, the work flows will change
00:18:37way will change, and that
00:18:40process is going to have some significant displacement, it's all not going to be
00:18:44hunky dory, but when we come out on the other
00:18:47end, I absolutely believe there will be new jobs that we will
00:18:51value as humans, in fact you can see even today, right, what are the reasons all
00:18:55of us react to someone who gives you just pure AI output
00:18:59and you say, well
00:19:00I don't want that, I want
00:19:02to know that there was a human behind it who actually looked at
00:19:05it, and our ability. to discern what that human did
00:19:09with the AI output is going to be the new quality we will in fact
00:19:13value, and so I think as we get through this trans
00:19:16transformation, we will understand how humans
00:19:19continue to evolve and value each other's
00:19:22contribution to advancing our societies.
00:19:26People say that human creativity is the one thing that AI
00:19:30models cannot match, what if that's not true?
00:19:34I'll ask Satya Nadela that next.
00:19:38and now more of my exclusive interview with Satya Nadella, the
00:19:42CEO of Microsoft. I'm struck by something about AI.
00:19:46People often talk about creativity as one the things that human beings will
00:19:50be able to do that AI can't, but I'm strucked by because the nature of
00:19:54AI, it's a kind of predicting what with the the next
00:19:57likely word token, it's actually quite
00:20:01creative because it's kind of like a sense hallucination is the is
00:20:05is feature, not a bug, it's it's... thinking up things
00:20:09right, and so you love poetry, I love poetry.
00:20:12AI is astonishingly good at poetry, what does that tell you
00:20:16about what's left for human creativity?
00:20:20yeah, the fascinating thing is, it's that
00:20:22ability empower each of us to be more
00:20:26creative. I'll just give you even simple example this morning, right? you
00:20:30with the something like get up now, right? the ability, even for
00:20:34me, like I was a programmer, over the... years as
00:20:38I've evolved in the organization, it's not like I'm
00:20:41daily programming, but now I am, like this morning I come in and I wanted an
00:20:45app which went into my inbox, traged my inbox, created a project
00:20:49tracker. application just for myself, it was
00:20:53able to do that, to me to be able to have
00:20:57that power that somehow i can express
00:21:00a high level intent right, the like the intent
00:21:04itself is creativity, but then the rest of it was all
00:21:08executed and automated, i think is going
00:21:11to create, i would say new form of art, new form of
00:21:14expression, new form of ability to, i sort of sometimes
00:21:18describe the new work. has macro delegation and
00:21:22micro steering right, every one of us will become better
00:21:26at management through intense and at the same
00:21:30time having the ability to steer it exactly to the place where we
00:21:33want it. so a bunch of Microsoft employees, former
00:21:37employees have started a company and they say that that
00:21:41company is going to be run at the CEO level
00:21:45by AI, by an AI agent, so effectively they
00:21:48will they will... execute the orders that the AI
00:21:52CEO tells them, do you think that will work and
00:21:56why and why or why not? mean
00:21:59to having an agent that works for a
00:22:03CEO is like essentially
00:22:06delegated AI that takes your
00:22:09identity and your credentials, so to some
00:22:12degree I think we're already at an age where I think about
00:22:16the fundamental unit of work is a...
00:22:20human plus their agents, and at the end the
00:22:24day human control is what I think all of us will value
00:22:27personally, as institutions and
00:22:30as society, so that is the key thing, so even when for example, I
00:22:34thought what the Pope did at the Enceclical was fantastic right, because he talked
00:22:37about any technology that takes away human
00:22:41dignity and agency is going to be
00:22:44rejected by definition, right? I don't think we will accept it as a
00:22:48society, but anything that... empowers us to
00:22:52do more, to achieve more, to be more ambitious about what
00:22:56we can do, whether it's a CEO or a frontline worker, we
00:23:00will accept it, and so at least that's certainly the direction of travel that I'm for, and
00:23:03so do you think that it's fairly clear that the human
00:23:07being will be in control, you say he should, he or she should
00:23:11be in control, but do we have the kill switch, can we pull the
00:23:14plug, or do you worry as Elon Musk used to, that the
00:23:18machines will eventually... rule us,
00:23:22I,
00:23:22I think I have much more faith
00:23:26in our political economy and its
00:23:29institutions, that the backlash, right, I mean,
00:23:33you written a book about this, revolutions are
00:23:37great as long as the backlash is
00:23:40managed, and that's sort of being the lesson of
00:23:43history, and so I always say, that's why I want an English
00:23:47revolution, not a French one, and that will only... happen if we really
00:23:51really manage through this process where we are in control and
00:23:55that I think is the foundational issue that we will be
00:23:59defining our error. Satya Nandela, pleasure, thank you for coming
00:24:02on. Thank you so much fored, it's a pleasure. Next on
00:24:06GPS, in January, after American forces captured
00:24:10Venezuelan president Nicolas Maduro, many expected
00:24:14President Trump to install Maduro's main opposition,
00:24:17Maria Corina Machado. is the country's new
00:24:21leader, but she remains in exile.
00:24:25why? she joins after the
00:24:27break. earlier this week,
00:24:30federal judge stipulated that former Venezuelan president
00:24:34Nicolas Maduro and his wife would face trial in June
00:24:372027 on drug trafficking charges.
00:24:41when US forces struck Karacus and seized Maduro in
00:24:45January of this year, many had hoped that the opposition
00:24:48leader Maria Cor Machado would lead the country
00:24:52through democratic transition. Instead, Maduro's vice
00:24:56president. Rodriguez was installed as interim president
00:25:00and has been in power ever since. Maria Kurina
00:25:03Machado is a Nobel peace prize winner and she has been in
00:25:07exile since December 2025. She joins me
00:25:11now. Maria Korina, welcome and first let
00:25:14ask you what are you hearing about the situation on the ground in
00:25:18Venezuela with regard? to the earthquake, how bad is it, has
00:25:22it settled down? on the contrary, sorry, every day that goes
00:25:26by, the situation is more and more critic, this has been
00:25:29certainly the largest tragedy in Venezuela in recent history,
00:25:33we're talking about thousands of dead, still we don't have the right
00:25:37number, the clear number, the NGOs
00:25:41and civil society estimate over 40,000 people
00:25:45still missing, hundreds of buildings have
00:25:49collapses and structured damage is estimated by the UN
00:25:52in over 20 billion dollars, so this has been a huge
00:25:56tragedy, but that has also
00:25:59shown crucial realities on. one
00:26:02side, the solidarity, resilience,
00:26:06courage and capacity to organize the Venezuelan
00:26:09people, but on the other hand we've seen the absolute
00:26:13absence the state, with no zero
00:26:17capacities, they did not react, and what they
00:26:21did it was to obstruct the the the
00:26:25efforts that were being done by citizens, private citizens
00:26:28and international foreign foreign rescue mission.
00:26:32so this has, you know, we're still seeing
00:26:36people, hundreds of people, that it's all already
00:26:40amount, digging with their own hands, with no
00:26:43equipment whatsoever, looking for the their
00:26:47loved ones, so this has brought first
00:26:51fear, then indignation, and now I
00:26:55would say it's rage that it's growing in the Venezuelan
00:26:59population and the sense of urgency that
00:27:02grows every day, so you wanted to
00:27:06go back to Venezuela and visit your country,
00:27:10partly because the earthquake, partly because you feel it's important to
00:27:13start a process of democratic transition, the Trump
00:27:17administration from all reports essentially barred you from
00:27:21going, why? well, I've been in contact
00:27:25with with president Trump, secretary ruvio and many US officials
00:27:28during these last months and exchanging views in terms. of how
00:27:32to move ahead into the three phase plan that the the the
00:27:36US government has put in place in Venezuela and
00:27:40and the third phase it's very important to to
00:27:44remember is a transition process that
00:27:47requires legitimate election, we are
00:27:51seeing now the same regime that was in place when all
00:27:54these criminal activities were denounced and
00:27:58and and the the lack of trust
00:28:01towards "the regime and institutions that are in in ruwings
00:28:05in Venezuela is is is huge, so the only way we can move
00:28:09ahead into bringing relieve and
00:28:13hope to the Venezuelan people and also getting all the
00:28:17investment Venezuela requires now for the after the
00:28:20emergency, which is estimated in over 50 billion
00:28:24dollars, but but also to take advantage the
00:28:28huge resources Venezuela has, but that requires
00:28:31trust." that requires institutions, that
00:28:34requires legitimacy, the huge transformations
00:28:38that ought to be put in place in Venezuela have to have
00:28:42the support the Venezuelan people, and and the regime,
00:28:46the Rodriguez regime is in its lowest point
00:28:50of of support ever, and and it was, as I say,
00:28:54exacerbated after
00:28:55the the the earthquake, so yes, my desired from
00:28:59day one is to go back to Venezuela and when the... "the tragedy
00:29:03took place, i realize it was my
00:29:06duty to be with our people, being together,
00:29:10morning together, praying together, and that's the reason why I'm
00:29:14going to go back soon to my country. you will go back
00:29:17soon, I will,
00:29:21in the next month, well, I, I, we are planning the
00:29:25logistics that that are required for,
00:29:29you know, not only for rich in Venezuela, but for..." in
00:29:32Venezuela for for operating, for
00:29:36organizing the the democratic forces, for
00:29:39channeling all these anxiety and urgency that
00:29:43I mentioned before a a
00:29:47peaceful and democratic channel,
00:29:51that's precisely my goal and why I believe I need
00:29:55to be back, but President Trump has you spoken of
00:29:59you often in kind of dismissive ways and suggesting... that it's
00:30:03not right, it's not time for you to go, it's not right for you even go,
00:30:07the situation is great, do you regret having given him your
00:30:11Nobel peace prize? no, I don't, and I think that we
00:30:14wouldn't be here with this huge opportunity of
00:30:18having Venezuela,
00:30:20you know, turning into democratic nation, if it wasn't
00:30:24for the decision President Trump took on January
00:30:273rd, and the Secretary of State has been very
00:30:31clear in terms. of what it's needed in terms
00:30:35to to bring Venezuela and turn Venezuela into the great ally the United
00:30:38States, not only from security perspective, we need to dismantle
00:30:42these groups, get rid of Russia and Iranian, Cuba
00:30:46and the gorilla that is taking over has taken over Venezuelan
00:30:50territory, but turn Venezuela into the largest
00:30:53energy partner, a long-term
00:30:56alliance, and and look, I've been in contact with...
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.