Venezuela: Globovisión — Jesus pregunta

20260920 22:30 UTC · 00:30:59 · 455 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

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Transcript

Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking. Treat it as a searchable index of what was broadcast, not a quotation record.

00:00:00Valencia, a day later at the same time.
00:00:03Tickets are already available for purchase through
00:00:07web platforms with payment facilities so that their
00:00:10fans can enjoy a great evening of romantic
00:00:12salsa.
00:00:15Friends, that's all for this news update,
00:00:19I always invite you to connect to our contact points on your screens,
00:00:23our coordinates, our
00:00:25and I say, well, look, what website, and of course our new YouTube channel. I want to invite you
00:00:28from 9 p.m. to the... Stellar broadcast. I'll be waiting for you.
00:00:48right? So of course, I am taking
00:01:00Health goes beyond urgency, it
00:01:04is built with evidence, with questions that others avoid, very
00:01:08important, a respectable myopia years
00:01:11ago we understood that medical information should not
00:01:14scare, it should protect, we compare
00:01:17studies, we consult experts and we filter
00:01:21everything to keep what is really important for your
00:01:23life, beyond replicating alarms we give you
00:01:27certainties hand in hand and the meeting. The laser no, because
00:01:31taking care of your well-being more than a
00:01:33both sellers and service is a commitment that we renew every day,
00:01:49in a planet that never sleeps, you must pay attention to
00:01:52every event, what is moving in the
00:01:57this is not an IT world today, art that inspires, technology
00:02:00that surprises, news that impacts and things
00:02:03that only happen
00:02:06once, from Asia to America, from
00:02:10Europe to Africa, it is a global experience
00:02:13with all its faces and
00:02:16it seems it will be very different from what all its voices, a weekly date with the whole
00:02:19planet, view the world Saturdays
00:02:223 p.m. on
00:02:24Globovisión,
00:02:33Jesús Pregunta, a mixed program, informative and
00:02:35Montiel, professor at opinion with elements of language, health, sex and violence, suitable for
00:02:39all audiences, a nationally produced
00:02:42independent program, certificate number 35,906.
00:02:47to demonize it, saying, look, it's going to
00:02:52think about, the data that I have within
00:03:05Good afternoon, at this time, greetings to those
00:03:09who tune in to Globovisión, my name is Jesús López and this is your program
00:03:11Jesús Pregunta, today we are going to talk about something that
00:03:15you are surely already using and everyone here in the
00:03:19studio, it is called artificial
00:03:22intelligence, for that we have Gabriel
00:03:25Montiel, AI expert, professor at the Catholic
00:03:29University. in this area no yes for the
00:03:32invitation well let's start talking about AI as an
00:03:35instrument that is already in people's homes, that is,
00:03:39from mobile applications to message
00:03:42writing to whatsapp, no yes, AI as
00:03:45I always say in class is a snowball that will not
00:03:49stop growing, it is already very easy to access
00:03:53is, to delineate the veins of it, it is free, it is also on everyone's cell phones and
00:03:56well now it's about how we are going to use it, what we are going
00:04:00to use it for and how it will help us, right? I think that is the
00:04:04powerful thing about the conversation in terms of artificial intelligence,
00:04:08we have seen forums on
00:04:11the internet with people already talking that we even have to put a stop to it, is
00:04:17invoices you have in the that possible? Yes, well, right now there is a debate because the owner
00:04:21president of Antropic said
00:04:24free, okay? Why? Because the that in 6 to 12 months there would have to
00:04:26be governance because in 6 to 12 months there would already be
00:04:30complete access to AI on the internet so how were we going to manage
00:04:33those policies, right? And look,
00:04:37deny the use of that's what happens there and we do it a lot in corporations when I go into companies is
00:04:41that the first thing to look at
00:04:45is how we are going to govern artificial intelligence, right? And
00:04:49there it is divided into two things: one thing is the AI adoption
00:04:52policy, that is, how people will start using it, what I will
00:04:55use it for, what it will do for my
00:04:58excel, what data I will input, how the company
00:05:02will manage that, how I will train the different employees in that, so
00:05:05like the policies I will follow in those terms, but
00:05:09on the other hand, in terms of that governance, what is the
00:05:13data governance, right? Okay, because one thing is chatting with
00:05:17AI, which everyone has access to now, but another is
00:05:20operating with AI, and operating with AI is, for example,
00:05:24in fact yesterday I was with a massive food corporate talking, right?
00:05:28So how do I make it so that sellers who are selling
00:05:31three products to a client and of course they don't know, they visit
00:05:35many clients, they are, let's say, involved in the
00:05:38process, it suggests, for example, from a portfolio of 30
00:05:42products, that they put these four other products that are also
00:05:45stagnant in inventory, right? So AI can operate there and can
00:05:49make that type of suggestion, but for that to happen, the
00:05:52data must be governed, and the data is where the company's
00:05:56information lives in the systems,
00:06:00this explanation to the company now, but as you ask me, this discussion
00:06:04that is happening now that the president of the United States also came out and so on, it is a
00:06:08controversy, well, it is that governance of AI, but now in
00:06:11global terms. And in global terms it is, look,
00:06:15I have the agents, I have access to the internet, how are we going
00:06:18to govern this in terms of state and so on, right? Because before talking about
00:06:22precisely that, how companies and large
00:06:26corporations have been using AI to, well,
00:06:29perform more, sell more and be more efficient,
00:06:33right? Before talking about that, I would like to talk about these topics that are very
00:06:36particular, for example, humanity
00:06:40versus
00:06:43AI, right? How humanity sees
00:06:46itself in danger or not in danger from your point of view, you know
00:06:49what reminds me of it because I said it in class a few
00:06:53days ago, the student asked me what
00:06:57things AI would take away from me at work and so on,
00:07:01and I told him everything, it will take everything away from you, everything you do it will
00:07:05take away from you, but it will not be taken away by a robot that comes to do it, but by a
00:07:08person who is trained in the use of this type of tool and it
00:07:12is important, artificial intelligence
00:07:15is basically a very fast data processor,
00:07:18okay, something that for us you
00:07:22could take days, months, AI does it in seconds, and
00:07:26I always give the example of the tic-tac-toe game where you put x0,
00:07:29right? Well, how does AI work, I, let's say, I am the AI and
00:07:33you are Jesús, we are playing, you put x, and I, as the AI, have
00:07:36to calculate the mathematical probability of putting the
00:07:40zero, but also of putting,
00:07:42what you will put after I put the zero and then do the entire
00:07:46game in less than one second, microseconds, right? So
00:07:50that speed in taking out and that algorithm in taking out that probability is what
00:07:54makes it process data very fast, so it is not magic, it is not
00:07:57that it comes from a context and a data, so well for your
00:08:01question humanity and AI I think that
00:08:04basically humanity is giving that context so that AI as a tool
00:08:07begins to give us things faster, right? If we could talk about that
00:08:11black box, right, the storage of
00:08:14data, from a global
00:08:18point of view, could we really talk about
00:08:22an audit? That is, do we know what
00:08:25information is being provided to AI from that point? Is AI
00:08:28absorbing all types of information? Well, that's a
00:08:32very good question because look, if today
00:08:35you walk down the street here in Venezuela, right, just to put it in
00:08:39terms of here, and you ask, look, which one
00:08:42are you using? Because everyone is already using it in one way or another, right?
00:08:45So they tell you, yes, I am using Gemini, which is Google's,
00:08:48right? Why? Because it's the free one and it's the one with the most access in
00:08:52Venezuela, okay? But you are putting all the data there in the free
00:08:55part and specifically in the free part it says
00:08:59that everything you put there will be used to train Google's LLM model,
00:09:02okay? So basically we are giving
00:09:06all the data and we also do that in everything we do,
00:09:09browsing on the cell phone is traceable, right? Okay, so
00:09:12there we are giving all the data, so there are some things
00:09:16that happen, some conversations that happen a lot in corporations, how do
00:09:20I protect the corporate data, right? But well, in
00:09:23your question is whether AI has access to that data because
00:09:27we are also giving it to it and if you notice all these
00:09:31companies from China, United States, all of them, it's always something
00:09:36model needs to emulate human language, the more we
00:09:40use it, the more context they will have. on how to train the model, right?
00:09:44So that's why there will always be something free to use, let's go to a commercial break and we'll be back.
00:11:18September 15, was declared by the
00:11:21United Nations in 2008
00:11:25as International Democracy Day, in
00:11:28adoption of the Universal Declaration of Democracy
00:11:31by the Inter-Parliamentary Union in
00:11:331997,
00:11:35a topic now more relevant than ever, with the changes that are
00:11:39taking place in the current global geopolitical
00:11:43recomposition. In Venezuela, Democracy Day is
00:11:45celebrated on January 23, in
00:11:49memory of the fall of Pérez Jiménez's dictatorship that day
00:11:53in 1951.
00:11:56This was the analysis on
00:11:57the carpet.
00:12:06This Sunday in Embassies and Ambassadors, Julio César
00:12:10Pineda talks with Beresit Rigal, CEO of Silicon
00:12:14Valley Venezuela and Christopher Leal,
00:12:17Communications Director about the impact of Silicon Valley
00:12:20Venezuela on the global
00:12:22ecosystem.
00:12:26Sunday 7:30 p.m. on Globovisión.
00:12:57We are talking with Gabriel
00:13:00the Catholic University and well, AI expert,
00:13:03we are going to talk about the good things about AI because it seems
00:13:07that it is very demonized, right? Some sectors would like
00:13:12replace human beings, we have already
00:13:16seen that if it is used very well, it complements
00:13:19human efficiency, yes, from the corporate
00:13:23point of view. In what is it advancing
00:13:26right now with respect
00:13:29to data analysis,
00:13:32systems, a very important topic which is
00:13:35sales, how is it being done? Well,
00:13:39look, when we are going to think about artificial intelligence in
00:13:42terms of systems and and the company, the first
00:13:46thing to think about is data, okay? Because how does artificial
00:13:49intelligence work, I explain it as a factory, right? In the
00:13:53factory there is raw material, raw material enters a machine to give you a
00:13:57product, well, AI is, that raw material is context, it is
00:14:00data that enters some algorithms and probabilities to
00:14:04give you an answer, okay? So the first thing in the line
00:14:07is the raw material, that is, the context and the data and it happens to me a lot,
00:14:11that I am going to enter to
00:14:14do AI architectures, what is AI architecture, that
00:14:18the organization to know where I can put an AI model
00:14:22to help you with certain things, to help you do. bank reconciliations, for
00:14:26example, exactly, let's talk about a specific example, for example,
00:14:29finance, to help you cross
00:14:33purchases with bank outflows, you do reconciliations, to help
00:14:36you ensure that payments that came in are crossed with sales orders or
00:14:42sales department, to help you know what things you need to move from
00:14:46inventories and sell, to help you know the depth of what you want
00:14:49to sell each client you have and by area,
00:14:53what sells more in Venezuela?
00:15:03How the seller has that information quickly, right, and that it does not necessarily depend
00:15:07on him being an expert as a seller over time or on street
00:15:10surveys or door-to-door
00:15:13market studies, for example, right? So of course, it's not about
00:15:17artificial intelligence
00:15:21doing the work and so on, it's about it being a very fast data processor that can
00:15:25help me have things so I can make the decision, so this always
00:15:28has to be seen as a co-pilot, right? You have a co-pilot that is now like a great
00:15:32assistant, the assistant everyone wants, the AI that you want everything,
00:15:36well, how do I make that co-pilot work and that
00:15:39co-pilot only works if the data is
00:15:42organized there, that is the big issue when one is going to
00:15:45implement AI. I am going to build the AI architectures and when I come
00:15:49to see there are no systems, the data is not organized or
00:15:53we are all using an excel here and there, right? So I say,
00:15:57well, the first thing to verify is where that
00:16:00information flows, okay? Where does it originate? It originates because you made a
00:16:04sale, then it originates because you made an invoice, then it originates because
00:16:07you received raw material from some suppliers, so from
00:16:11the roots we have to have, let's say, a
00:16:14digitalization, AI only lives
00:16:17if the digital world exists and
00:16:21it is not something that is
00:16:24not only AI, AI is put on top of a data
00:16:28flow, so we have to think about data first. How do you see the development of AI in
00:16:31Venezuela? Look, I am very enthusiastic and
00:16:34I am also seeing it there, if in fact you go to LinkedIn right now
00:16:38and search for AI, many
00:16:40corporations are looking for AI engineers,
00:16:44AI specialists, AI
00:16:47intelligence specialists, artificial intelligence analysts,
00:16:50because there are two ways, one
00:16:54is chatting with AI that gives you a lot of
00:16:57productivity very quickly, that is, and those are the
00:17:00trainings that normally happen when
00:17:04one enters, right? Like I need to relieve the...
00:17:07situation so one trains
00:17:10human resources, for example, and the finance
00:17:14department, etc., to use chat with controlled licenses and
00:17:17so on for the data, but then you start to do it very quickly, the excels come out very
00:17:21quickly, dynamic tables, graphs, dashboards, analytics,
00:17:24you start to automate things with natural language that before was something
00:17:28like, hey, I need the programmer, I need
00:17:31IT, this is something very important,
00:17:35people's issue, okay, it's your issue,
00:17:38Jesús, it's my issue, it's my mom's issue who goes
00:17:42crazy incredibly doing theology
00:17:44she does things that make me say I can't believe this about Gabriel, how does this process
00:17:48data, right? So that part of chatting relieves a lot
00:17:52of the process, another is operating with AI which is a little
00:17:56more complex in terms of systems, right? But it's already something so that the
00:17:59company works much faster with AI, the
00:18:02competition between companies and AI,
00:18:06right? Because in simple terms,
00:18:09I come and ask a question and
00:18:12suddenly someone else asks a
00:18:15similar question, so how is the competition between companies managed with
00:18:19different information, or is it the same
00:18:21information?
00:18:23Let's remember that information is data and that context is what we have to
00:18:29the company is not available to another company, okay? If another company is
00:18:32using AI in general free and so on, it is the
00:18:36information that everyone has, it will not have the important
00:18:40juice of AI, if it is using AI with its
00:18:43context and with its data, it is too powerful what it will begin to
00:18:46achieve, right? One of the things I say in class is everyone will
00:18:50use it, how are you going to differentiate yourself from everyone else, right?
00:18:54It's the same, everyone will ask, make me a summary of this, and
00:18:58the summary is incredible, that is, it passes it and it's beautiful and it's
00:19:02like resumes right now, all of them are beautiful now, that is, the
00:19:05horrible resumes were normalized, now all beautiful, but well, in truth
00:19:09there is something behind it, that is, it supports what the
00:19:13resume says, right, read what you are executing as another
00:19:16tool, right, we have to give it the criteria and support to
00:19:20that, so how does the competition happen?
00:19:24The competition will be won by whoever best uses their context with
00:19:27AI, point one, and whoever loses their fear of
00:19:31the tool, it is not magic, it is another tool that must
00:19:35be learned to use. There are already companies
00:19:38in Venezuela that are, you
00:19:41would be surprised, but many, yes, this, I think there is a lot of work
00:19:45right now, companies are very active, a president
00:19:48told me, Gabriel, I feel like I'm going to get stuck and I can't,
00:19:51that is, we have to enter this, ah, because I remember that
00:19:55conversation was like, look, let's relieve a specific
00:19:59part of logistics, the routes of the trucks, how they move through Venezuela and
00:20:03so on, so it was like, look, wait, what I am
00:20:06seeing is that I need this for the entire corporation, I also feel that
00:20:10Venezuela currently has an important push, I feel that it will
00:20:13be better, there will be much more growth and
00:20:17also entry of companies and the locals who are here say,
00:20:20well, others can come with a lot of momentum already using it, I have
00:20:24to be already trained for the new market, let's go to a
00:20:27commercial break and we'll be
00:20:28back.
00:21:10My loyal and adored viewers, this Sunday
00:21:14we start with a good party, wait, come
00:21:17more, come more.
00:21:23One thing I will tell you, if there is something in the
00:21:26program that you didn't like, then
00:21:29blame me, blame
00:21:32me,
00:21:34I ask God to give me much health to
00:21:38be able to be with you all the
00:21:40time in the world, today I have time, I have all the
00:21:44time in the world, again we will meet this Sunday at
00:21:487 p.m. in family, with the golden
00:21:52years and with whom else, with
00:21:55papaito,
00:21:57the golden years with Álvaro Cuchillo Durán,
00:22:01Sunday 7 p.m. on Globovisión.
00:22:30We continue with your program, Jesús Pregunta, we are talking with Gabriel
00:22:33Montiel, professor,
00:22:36disinformation and AI, right now
00:22:40we are talking about the times of fake news,
00:22:44times of seeing images that seem
00:22:47very real, that are not real, how is that detected?
00:22:50The society that is starting to use it, well,
00:22:53a very, very good question. That's how misinformation occurs
00:22:57in two ways: one by those who do not know how to use
00:23:00the tool and that training and that
00:23:03misinformation specifically causes fear, that's why the fear
00:23:06and that's also why there is a lot of resistance
00:23:09to change, right? Like I resist the change of this new technology
00:23:13and so on. That misinformation leaves you behind
00:23:16in what is already happening, which is that companies
00:23:20are adopting it, right? But on the other hand, there is also
00:23:23the misinformation that is fact-checking, that is, how do I
00:23:27certify that this fact in which I am publishing a news
00:23:31item, for example, or an opinion or an image, is actually real,
00:23:35okay? And that is one of the things that right now is very
00:23:38complex to decipher because
00:23:42AI is becoming more and more accurate, okay?
00:23:45So one never knows if the
00:23:49information is really accurate or not, there are tools that allow you to know if this
00:23:53was created with AI, right? But there are also ways to make
00:23:56what you write better and it is done with AI, right? Here always comes
00:24:00the issue of ethics and it is one of the things that I, it is the first
00:24:04class of the semester, right, like the ethics of AI,
00:24:07so I always comment, well, is a knife ethical?
00:24:10Well, a knife is a tool, the ethics is given by
00:24:14the use that humans give the knife. If you are going to use the knife to kill someone,
00:24:18that loses all type of ethical criterion, but if you are going to
00:24:22use it to cut food and so on,
00:24:26there is no problem, right? So the use of the tool is given by, the ethics behind the
00:24:30use of the tool will be given by the human behind it, right? And I feel that
00:24:33in the end, Jesús, the truth always comes out, the truth is always known
00:24:37and it is known who wrote it, right? No, so I think we have to be very
00:24:41transparent with that, talking about the topic that
00:24:44he is a professor and also a professor in this
00:24:48AI subject, how does a
00:24:50professor compete in a few years with
00:24:54AI so that the student pays more attention to the professor
00:24:57and doesn't get bored, for example?
00:25:01That's great too. Look, in fact we have had to train
00:25:04professors as well because as I
00:25:07told you, misinformation causes fear and a first
00:25:11shock and many of the professors, in fact my
00:25:14sister in the Dominican Republic gave this type of training to professors, in
00:25:18fact, from school.
00:25:21it is inevitable to use AI, all students are
00:25:24using it, if you
00:25:27AI, you are finished, okay? That is, there is
00:25:31no way around that, it's like if when I was young I had refused to use
00:25:34Google, that is, one researched with Google, it was something
00:25:38very normal, so the professor has to, well, first know the technology and
00:25:42now know that they have to change the ways of evaluation, okay?
00:25:45Everyone will have access to use it and it is very easy, now how did you get
00:25:49to that answer, that is, the report, I know you are going to do it with artificial
00:25:53intelligence, and it will be incredible, that is, it will be beautiful,
00:25:56but I have to go into the depth of the content of how you got to that, that is, it is no longer about seeing the
00:26:00report, it is about how you made the report, okay? So it is about
00:26:04evaluating your prompts, what you wrote, how you got
00:26:07to that, right? So that type of training we have given
00:26:11and also a little bit the activities, right, changing the activities and that
00:26:15is a very important challenge for the professor and
00:26:18I see it every day, there are older people who have been doing this for many
00:26:22years and it's like, wow, you just changed the rules of the game
00:26:28there is is a little bit to see how it works and change the activity a little, right?
00:26:31But don't turn away or
00:26:35stop it because it will be inevitable and no, rather what it gives you is
00:26:39a headache if you don't adapt to it, the
00:26:42algorithm, how
00:26:46to know if the algorithm will at some point, which already
00:26:50happens, but make decisions thanks
00:26:53to the algorithm that is on your phone?
00:26:57Yes, today you make them and in
00:27:00fact in meetings they tell me that
00:27:03I don't make decisions because I don't use social networks
00:27:07and I say, well, it's totally false is, uh, all
00:27:11the world on average in Venezuela we are at 1.5 hours of social
00:27:15network use and we are on the rise and that
00:27:18is all, all ages, that is to say that
00:27:2160 plus is also at 1.5 and above, all decision
00:27:24makers, everyone is using it and no matter how much you don't want it, that
00:27:28influences your decision to see things, etcetera, it influences what you are going
00:27:31to buy, what you are going to think and so on, right? So the
00:27:35algorithm, how will it influence, yes it influences, it will not stop influencing
00:27:39and besides, the algorithm is like the Coca-Cola formula that nobody will
00:27:42know because each company manages its algorithms and it
00:27:45is like, uh, it is the real asset they have and it is something that
00:27:49you will not know, right? But if you are using the
00:27:51tool, uh, without a doubt you will be,
00:27:55uh, that will influence you. You
00:27:58who are normally in the case of...
00:28:02You as a professor of this, of this
00:28:04area, uh, how do
00:28:08you predict the next few years, that is, we could talk about
00:28:112030, there is talk of 2030 as the year where
00:28:14technologically
00:28:18we are experiencing now.
00:28:21Yes, totally, and I will give you two concepts to
00:28:25talk about narrow AI and general AI. What we live today is
00:28:28narrow AI, that is to say, it is
00:28:32tools made specifically to do something very well,
00:28:36the Tesla vehicle is made not to crash it, the AI is to not crash and
00:28:40drive the vehicle well, right? Google Maps that marks red when
00:28:43there is a queue is specifically for that, to mark the data on
00:28:47traffic, ChatGPT to give you the answer, yes
00:28:51there are many tools right now to make video, to make
00:28:54images, to even make songs, okay, that is
00:28:57narrow AI, narrow AI will lead us to general AI which is that
00:29:01idea of the humanoid robot self-deciding and
00:29:04self-creating, right? Uh, we want to get there, but for that
00:29:08we have to emulate human language correctly, but that will come out, well,
00:29:12every day a new tool comes out and infinite ones will come out, why?
00:29:16Because we must learn how we do things and that must
00:29:19improve, when will we get there? We are not in general
00:29:23AI today, close, well, I could tell you that I
00:29:27think in about 20 years we will be there, these are things that
00:29:30owners of this type of...
00:29:35And we are moving very fast towards that, right? Notice that for this
00:29:38to happen, the bases have to be laid
00:29:42and the bases of AI are basically two,
00:29:46one, where do I store this amount of data and
00:29:49how do I move this amount of server, that is, energy, okay, and if you
00:29:53notice, many news stories have come out like, uh,
00:29:56Oracle
00:29:58already loses in sales with its ERP, but wins in the
00:30:02clouds that Antropic is giving it and Google is giving it, right?
00:30:06That is, for it to store in my servers and also
00:30:10the United States is talking about many more servers and energy and always
00:30:14the topic of energy, right? That is very much in vogue, why? Because if I am going to
00:30:17grow the general idea, those two bases have to be very
00:30:21robust. Our time is up, thank you,
00:30:24thank you for your time, we were talking with Gabriel Montiel,
00:30:28an AI expert in this program of your questions, until next
00:30:31Sunday.
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.