GLOBOVISION — Jesus pregunta
20260920 223000 UTC
455 transcript segments
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[00:00:00] Valencia, a day later at the same time.
[00:00:03] Tickets are already available for purchase through
[00:00:07] web platforms with payment facilities so that their
[00:00:10] fans can enjoy a great evening of romantic
[00:00:12] salsa.
[00:00:15] Friends, that's all for this news update,
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[00:00:48] right? So of course, I am taking
[00:01:00] Health goes beyond urgency, it
[00:01:04] is built with evidence, with questions that others avoid, very
[00:01:08] important, a respectable myopia years
[00:01:11] ago we understood that medical information should not
[00:01:14] scare, it should protect, we compare
[00:01:17] studies, we consult experts and we filter
[00:01:21] everything to keep what is really important for your
[00:01:23] life, beyond replicating alarms we give you
[00:01:27] certainties hand in hand and the meeting. The laser no, because
[00:01:31] taking care of your well-being more than a
[00:01:33] both sellers and service is a commitment that we renew every day,
[00:01:49] in a planet that never sleeps, you must pay attention to
[00:01:52] every event, what is moving in the
[00:01:57] this is not an IT world today, art that inspires, technology
[00:02:00] that surprises, news that impacts and things
[00:02:03] that only happen
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[00:02:13] with all its faces and
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[00:02:19] planet, view the world Saturdays
[00:02:22] 3 p.m. on
[00:02:24] Globovisión,
[00:02:33] Jesús Pregunta, a mixed program, informative and
[00:02:35] Montiel, professor at opinion with elements of language, health, sex and violence, suitable for
[00:02:39] all audiences, a nationally produced
[00:02:42] independent program, certificate number 35,906.
[00:02:47] to demonize it, saying, look, it's going to
[00:02:52] think about, the data that I have within
[00:03:05] Good afternoon, at this time, greetings to those
[00:03:09] who tune in to Globovisión, my name is Jesús López and this is your program
[00:03:11] Jesús Pregunta, today we are going to talk about something that
[00:03:15] you are surely already using and everyone here in the
[00:03:19] studio, it is called artificial
[00:03:22] intelligence, for that we have Gabriel
[00:03:25] Montiel, AI expert, professor at the Catholic
[00:03:29] University. in this area no yes for the
[00:03:32] invitation well let's start talking about AI as an
[00:03:35] instrument that is already in people's homes, that is,
[00:03:39] from mobile applications to message
[00:03:42] writing to whatsapp, no yes, AI as
[00:03:45] I always say in class is a snowball that will not
[00:03:49] stop growing, it is already very easy to access
[00:03:53] is, to delineate the veins of it, it is free, it is also on everyone's cell phones and
[00:03:56] well now it's about how we are going to use it, what we are going
[00:04:00] to use it for and how it will help us, right? I think that is the
[00:04:04] powerful thing about the conversation in terms of artificial intelligence,
[00:04:08] we have seen forums on
[00:04:11] the internet with people already talking that we even have to put a stop to it, is
[00:04:17] invoices you have in the that possible? Yes, well, right now there is a debate because the owner
[00:04:21] president of Antropic said
[00:04:24] free, okay? Why? Because the that in 6 to 12 months there would have to
[00:04:26] be governance because in 6 to 12 months there would already be
[00:04:30] complete access to AI on the internet so how were we going to manage
[00:04:33] those policies, right? And look,
[00:04:37] deny the use of that's what happens there and we do it a lot in corporations when I go into companies is
[00:04:41] that the first thing to look at
[00:04:45] is how we are going to govern artificial intelligence, right? And
[00:04:49] there it is divided into two things: one thing is the AI adoption
[00:04:52] policy, that is, how people will start using it, what I will
[00:04:55] use it for, what it will do for my
[00:04:58] excel, what data I will input, how the company
[00:05:02] will manage that, how I will train the different employees in that, so
[00:05:05] like the policies I will follow in those terms, but
[00:05:09] on the other hand, in terms of that governance, what is the
[00:05:13] data governance, right? Okay, because one thing is chatting with
[00:05:17] AI, which everyone has access to now, but another is
[00:05:20] operating with AI, and operating with AI is, for example,
[00:05:24] in fact yesterday I was with a massive food corporate talking, right?
[00:05:28] So how do I make it so that sellers who are selling
[00:05:31] three products to a client and of course they don't know, they visit
[00:05:35] many clients, they are, let's say, involved in the
[00:05:38] process, it suggests, for example, from a portfolio of 30
[00:05:42] products, that they put these four other products that are also
[00:05:45] stagnant in inventory, right? So AI can operate there and can
[00:05:49] make that type of suggestion, but for that to happen, the
[00:05:52] data must be governed, and the data is where the company's
[00:05:56] information lives in the systems,
[00:06:00] this explanation to the company now, but as you ask me, this discussion
[00:06:04] that is happening now that the president of the United States also came out and so on, it is a
[00:06:08] controversy, well, it is that governance of AI, but now in
[00:06:11] global terms. And in global terms it is, look,
[00:06:15] I have the agents, I have access to the internet, how are we going
[00:06:18] to govern this in terms of state and so on, right? Because before talking about
[00:06:22] precisely that, how companies and large
[00:06:26] corporations have been using AI to, well,
[00:06:29] perform more, sell more and be more efficient,
[00:06:33] right? Before talking about that, I would like to talk about these topics that are very
[00:06:36] particular, for example, humanity
[00:06:40] versus
[00:06:43] AI, right? How humanity sees
[00:06:46] itself in danger or not in danger from your point of view, you know
[00:06:49] what reminds me of it because I said it in class a few
[00:06:53] days ago, the student asked me what
[00:06:57] things AI would take away from me at work and so on,
[00:07:01] and I told him everything, it will take everything away from you, everything you do it will
[00:07:05] take away from you, but it will not be taken away by a robot that comes to do it, but by a
[00:07:08] person who is trained in the use of this type of tool and it
[00:07:12] is important, artificial intelligence
[00:07:15] is basically a very fast data processor,
[00:07:18] okay, something that for us you
[00:07:22] could take days, months, AI does it in seconds, and
[00:07:26] I always give the example of the tic-tac-toe game where you put x0,
[00:07:29] right? Well, how does AI work, I, let's say, I am the AI and
[00:07:33] you are Jesús, we are playing, you put x, and I, as the AI, have
[00:07:36] to calculate the mathematical probability of putting the
[00:07:40] zero, but also of putting,
[00:07:42] what you will put after I put the zero and then do the entire
[00:07:46] game in less than one second, microseconds, right? So
[00:07:50] that speed in taking out and that algorithm in taking out that probability is what
[00:07:54] makes it process data very fast, so it is not magic, it is not
[00:07:57] that it comes from a context and a data, so well for your
[00:08:01] question humanity and AI I think that
[00:08:04] basically humanity is giving that context so that AI as a tool
[00:08:07] begins to give us things faster, right? If we could talk about that
[00:08:11] black box, right, the storage of
[00:08:14] data, from a global
[00:08:18] point of view, could we really talk about
[00:08:22] an audit? That is, do we know what
[00:08:25] information is being provided to AI from that point? Is AI
[00:08:28] absorbing all types of information? Well, that's a
[00:08:32] very good question because look, if today
[00:08:35] you walk down the street here in Venezuela, right, just to put it in
[00:08:39] terms of here, and you ask, look, which one
[00:08:42] are you using? Because everyone is already using it in one way or another, right?
[00:08:45] So they tell you, yes, I am using Gemini, which is Google's,
[00:08:48] right? Why? Because it's the free one and it's the one with the most access in
[00:08:52] Venezuela, okay? But you are putting all the data there in the free
[00:08:55] part and specifically in the free part it says
[00:08:59] that everything you put there will be used to train Google's LLM model,
[00:09:02] okay? So basically we are giving
[00:09:06] all the data and we also do that in everything we do,
[00:09:09] browsing on the cell phone is traceable, right? Okay, so
[00:09:12] there we are giving all the data, so there are some things
[00:09:16] that happen, some conversations that happen a lot in corporations, how do
[00:09:20] I protect the corporate data, right? But well, in
[00:09:23] your question is whether AI has access to that data because
[00:09:27] we are also giving it to it and if you notice all these
[00:09:31] companies from China, United States, all of them, it's always something
[00:09:36] model needs to emulate human language, the more we
[00:09:40] use it, the more context they will have. on how to train the model, right?
[00:09:44] So that's why there will always be something free to use, let's go to a commercial break and we'll be back.
[00:11:18] September 15, was declared by the
[00:11:21] United Nations in 2008
[00:11:25] as International Democracy Day, in
[00:11:28] adoption of the Universal Declaration of Democracy
[00:11:31] by the Inter-Parliamentary Union in
[00:11:33] 1997,
[00:11:35] a topic now more relevant than ever, with the changes that are
[00:11:39] taking place in the current global geopolitical
[00:11:43] recomposition. In Venezuela, Democracy Day is
[00:11:45] celebrated on January 23, in
[00:11:49] memory of the fall of Pérez Jiménez's dictatorship that day
[00:11:53] in 1951.
[00:11:56] This was the analysis on
[00:11:57] the carpet.
[00:12:06] This Sunday in Embassies and Ambassadors, Julio César
[00:12:10] Pineda talks with Beresit Rigal, CEO of Silicon
[00:12:14] Valley Venezuela and Christopher Leal,
[00:12:17] Communications Director about the impact of Silicon Valley
[00:12:20] Venezuela on the global
[00:12:22] ecosystem.
[00:12:26] Sunday 7:30 p.m. on Globovisión.
[00:12:57] We are talking with Gabriel
[00:13:00] the Catholic University and well, AI expert,
[00:13:03] we are going to talk about the good things about AI because it seems
[00:13:07] that it is very demonized, right? Some sectors would like
[00:13:12] replace human beings, we have already
[00:13:16] seen that if it is used very well, it complements
[00:13:19] human efficiency, yes, from the corporate
[00:13:23] point of view. In what is it advancing
[00:13:26] right now with respect
[00:13:29] to data analysis,
[00:13:32] systems, a very important topic which is
[00:13:35] sales, how is it being done? Well,
[00:13:39] look, when we are going to think about artificial intelligence in
[00:13:42] terms of systems and and the company, the first
[00:13:46] thing to think about is data, okay? Because how does artificial
[00:13:49] intelligence work, I explain it as a factory, right? In the
[00:13:53] factory there is raw material, raw material enters a machine to give you a
[00:13:57] product, well, AI is, that raw material is context, it is
[00:14:00] data that enters some algorithms and probabilities to
[00:14:04] give you an answer, okay? So the first thing in the line
[00:14:07] is the raw material, that is, the context and the data and it happens to me a lot,
[00:14:11] that I am going to enter to
[00:14:14] do AI architectures, what is AI architecture, that
[00:14:18] the organization to know where I can put an AI model
[00:14:22] to help you with certain things, to help you do. bank reconciliations, for
[00:14:26] example, exactly, let's talk about a specific example, for example,
[00:14:29] finance, to help you cross
[00:14:33] purchases with bank outflows, you do reconciliations, to help
[00:14:36] you ensure that payments that came in are crossed with sales orders or
[00:14:42] sales department, to help you know what things you need to move from
[00:14:46] inventories and sell, to help you know the depth of what you want
[00:14:49] to sell each client you have and by area,
[00:14:53] what sells more in Venezuela?
[00:15:03] How the seller has that information quickly, right, and that it does not necessarily depend
[00:15:07] on him being an expert as a seller over time or on street
[00:15:10] surveys or door-to-door
[00:15:13] market studies, for example, right? So of course, it's not about
[00:15:17] artificial intelligence
[00:15:21] doing the work and so on, it's about it being a very fast data processor that can
[00:15:25] help me have things so I can make the decision, so this always
[00:15:28] has to be seen as a co-pilot, right? You have a co-pilot that is now like a great
[00:15:32] assistant, the assistant everyone wants, the AI that you want everything,
[00:15:36] well, how do I make that co-pilot work and that
[00:15:39] co-pilot only works if the data is
[00:15:42] organized there, that is the big issue when one is going to
[00:15:45] implement AI. I am going to build the AI architectures and when I come
[00:15:49] to see there are no systems, the data is not organized or
[00:15:53] we are all using an excel here and there, right? So I say,
[00:15:57] well, the first thing to verify is where that
[00:16:00] information flows, okay? Where does it originate? It originates because you made a
[00:16:04] sale, then it originates because you made an invoice, then it originates because
[00:16:07] you received raw material from some suppliers, so from
[00:16:11] the roots we have to have, let's say, a
[00:16:14] digitalization, AI only lives
[00:16:17] if the digital world exists and
[00:16:21] it is not something that is
[00:16:24] not only AI, AI is put on top of a data
[00:16:28] flow, so we have to think about data first. How do you see the development of AI in
[00:16:31] Venezuela? Look, I am very enthusiastic and
[00:16:34] I am also seeing it there, if in fact you go to LinkedIn right now
[00:16:38] and search for AI, many
[00:16:40] corporations are looking for AI engineers,
[00:16:44] AI specialists, AI
[00:16:47] intelligence specialists, artificial intelligence analysts,
[00:16:50] because there are two ways, one
[00:16:54] is chatting with AI that gives you a lot of
[00:16:57] productivity very quickly, that is, and those are the
[00:17:00] trainings that normally happen when
[00:17:04] one enters, right? Like I need to relieve the...
[00:17:07] situation so one trains
[00:17:10] human resources, for example, and the finance
[00:17:14] department, etc., to use chat with controlled licenses and
[00:17:17] so on for the data, but then you start to do it very quickly, the excels come out very
[00:17:21] quickly, dynamic tables, graphs, dashboards, analytics,
[00:17:24] you start to automate things with natural language that before was something
[00:17:28] like, hey, I need the programmer, I need
[00:17:31] IT, this is something very important,
[00:17:35] people's issue, okay, it's your issue,
[00:17:38] Jesús, it's my issue, it's my mom's issue who goes
[00:17:42] crazy incredibly doing theology
[00:17:44] she does things that make me say I can't believe this about Gabriel, how does this process
[00:17:48] data, right? So that part of chatting relieves a lot
[00:17:52] of the process, another is operating with AI which is a little
[00:17:56] more complex in terms of systems, right? But it's already something so that the
[00:17:59] company works much faster with AI, the
[00:18:02] competition between companies and AI,
[00:18:06] right? Because in simple terms,
[00:18:09] I come and ask a question and
[00:18:12] suddenly someone else asks a
[00:18:15] similar question, so how is the competition between companies managed with
[00:18:19] different information, or is it the same
[00:18:21] information?
[00:18:23] Let's remember that information is data and that context is what we have to
[00:18:29] the company is not available to another company, okay? If another company is
[00:18:32] using AI in general free and so on, it is the
[00:18:36] information that everyone has, it will not have the important
[00:18:40] juice of AI, if it is using AI with its
[00:18:43] context and with its data, it is too powerful what it will begin to
[00:18:46] achieve, right? One of the things I say in class is everyone will
[00:18:50] use it, how are you going to differentiate yourself from everyone else, right?
[00:18:54] It's the same, everyone will ask, make me a summary of this, and
[00:18:58] the summary is incredible, that is, it passes it and it's beautiful and it's
[00:19:02] like resumes right now, all of them are beautiful now, that is, the
[00:19:05] horrible resumes were normalized, now all beautiful, but well, in truth
[00:19:09] there is something behind it, that is, it supports what the
[00:19:13] resume says, right, read what you are executing as another
[00:19:16] tool, right, we have to give it the criteria and support to
[00:19:20] that, so how does the competition happen?
[00:19:24] The competition will be won by whoever best uses their context with
[00:19:27] AI, point one, and whoever loses their fear of
[00:19:31] the tool, it is not magic, it is another tool that must
[00:19:35] be learned to use. There are already companies
[00:19:38] in Venezuela that are, you
[00:19:41] would be surprised, but many, yes, this, I think there is a lot of work
[00:19:45] right now, companies are very active, a president
[00:19:48] told me, Gabriel, I feel like I'm going to get stuck and I can't,
[00:19:51] that is, we have to enter this, ah, because I remember that
[00:19:55] conversation was like, look, let's relieve a specific
[00:19:59] part of logistics, the routes of the trucks, how they move through Venezuela and
[00:20:03] so on, so it was like, look, wait, what I am
[00:20:06] seeing is that I need this for the entire corporation, I also feel that
[00:20:10] Venezuela currently has an important push, I feel that it will
[00:20:13] be better, there will be much more growth and
[00:20:17] also entry of companies and the locals who are here say,
[00:20:20] well, others can come with a lot of momentum already using it, I have
[00:20:24] to be already trained for the new market, let's go to a
[00:20:27] commercial break and we'll be
[00:20:28] back.
[00:21:10] My loyal and adored viewers, this Sunday
[00:21:14] we start with a good party, wait, come
[00:21:17] more, come more.
[00:21:23] One thing I will tell you, if there is something in the
[00:21:26] program that you didn't like, then
[00:21:29] blame me, blame
[00:21:32] me,
[00:21:34] I ask God to give me much health to
[00:21:38] be able to be with you all the
[00:21:40] time in the world, today I have time, I have all the
[00:21:44] time in the world, again we will meet this Sunday at
[00:21:48] 7 p.m. in family, with the golden
[00:21:52] years and with whom else, with
[00:21:55] papaito,
[00:21:57] the golden years with Álvaro Cuchillo Durán,
[00:22:01] Sunday 7 p.m. on Globovisión.
[00:22:30] We continue with your program, Jesús Pregunta, we are talking with Gabriel
[00:22:33] Montiel, professor,
[00:22:36] disinformation and AI, right now
[00:22:40] we are talking about the times of fake news,
[00:22:44] times of seeing images that seem
[00:22:47] very real, that are not real, how is that detected?
[00:22:50] The society that is starting to use it, well,
[00:22:53] a very, very good question. That's how misinformation occurs
[00:22:57] in two ways: one by those who do not know how to use
[00:23:00] the tool and that training and that
[00:23:03] misinformation specifically causes fear, that's why the fear
[00:23:06] and that's also why there is a lot of resistance
[00:23:09] to change, right? Like I resist the change of this new technology
[00:23:13] and so on. That misinformation leaves you behind
[00:23:16] in what is already happening, which is that companies
[00:23:20] are adopting it, right? But on the other hand, there is also
[00:23:23] the misinformation that is fact-checking, that is, how do I
[00:23:27] certify that this fact in which I am publishing a news
[00:23:31] item, for example, or an opinion or an image, is actually real,
[00:23:35] okay? And that is one of the things that right now is very
[00:23:38] complex to decipher because
[00:23:42] AI is becoming more and more accurate, okay?
[00:23:45] So one never knows if the
[00:23:49] information is really accurate or not, there are tools that allow you to know if this
[00:23:53] was created with AI, right? But there are also ways to make
[00:23:56] what you write better and it is done with AI, right? Here always comes
[00:24:00] the issue of ethics and it is one of the things that I, it is the first
[00:24:04] class of the semester, right, like the ethics of AI,
[00:24:07] so I always comment, well, is a knife ethical?
[00:24:10] Well, a knife is a tool, the ethics is given by
[00:24:14] the use that humans give the knife. If you are going to use the knife to kill someone,
[00:24:18] that loses all type of ethical criterion, but if you are going to
[00:24:22] use it to cut food and so on,
[00:24:26] there is no problem, right? So the use of the tool is given by, the ethics behind the
[00:24:30] use of the tool will be given by the human behind it, right? And I feel that
[00:24:33] in the end, Jesús, the truth always comes out, the truth is always known
[00:24:37] and it is known who wrote it, right? No, so I think we have to be very
[00:24:41] transparent with that, talking about the topic that
[00:24:44] he is a professor and also a professor in this
[00:24:48] AI subject, how does a
[00:24:50] professor compete in a few years with
[00:24:54] AI so that the student pays more attention to the professor
[00:24:57] and doesn't get bored, for example?
[00:25:01] That's great too. Look, in fact we have had to train
[00:25:04] professors as well because as I
[00:25:07] told you, misinformation causes fear and a first
[00:25:11] shock and many of the professors, in fact my
[00:25:14] sister in the Dominican Republic gave this type of training to professors, in
[00:25:18] fact, from school.
[00:25:21] it is inevitable to use AI, all students are
[00:25:24] using it, if you
[00:25:27] AI, you are finished, okay? That is, there is
[00:25:31] no way around that, it's like if when I was young I had refused to use
[00:25:34] Google, that is, one researched with Google, it was something
[00:25:38] very normal, so the professor has to, well, first know the technology and
[00:25:42] now know that they have to change the ways of evaluation, okay?
[00:25:45] Everyone will have access to use it and it is very easy, now how did you get
[00:25:49] to that answer, that is, the report, I know you are going to do it with artificial
[00:25:53] intelligence, and it will be incredible, that is, it will be beautiful,
[00:25:56] but 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
[00:26:00] report, it is about how you made the report, okay? So it is about
[00:26:04] evaluating your prompts, what you wrote, how you got
[00:26:07] to that, right? So that type of training we have given
[00:26:11] and also a little bit the activities, right, changing the activities and that
[00:26:15] is a very important challenge for the professor and
[00:26:18] I see it every day, there are older people who have been doing this for many
[00:26:22] years and it's like, wow, you just changed the rules of the game
[00:26:28] there is is a little bit to see how it works and change the activity a little, right?
[00:26:31] But don't turn away or
[00:26:35] stop it because it will be inevitable and no, rather what it gives you is
[00:26:39] a headache if you don't adapt to it, the
[00:26:42] algorithm, how
[00:26:46] to know if the algorithm will at some point, which already
[00:26:50] happens, but make decisions thanks
[00:26:53] to the algorithm that is on your phone?
[00:26:57] Yes, today you make them and in
[00:27:00] fact in meetings they tell me that
[00:27:03] I don't make decisions because I don't use social networks
[00:27:07] and I say, well, it's totally false is, uh, all
[00:27:11] the world on average in Venezuela we are at 1.5 hours of social
[00:27:15] network use and we are on the rise and that
[00:27:18] is all, all ages, that is to say that
[00:27:21] 60 plus is also at 1.5 and above, all decision
[00:27:24] makers, everyone is using it and no matter how much you don't want it, that
[00:27:28] influences your decision to see things, etcetera, it influences what you are going
[00:27:31] to buy, what you are going to think and so on, right? So the
[00:27:35] algorithm, how will it influence, yes it influences, it will not stop influencing
[00:27:39] and besides, the algorithm is like the Coca-Cola formula that nobody will
[00:27:42] know because each company manages its algorithms and it
[00:27:45] is like, uh, it is the real asset they have and it is something that
[00:27:49] you will not know, right? But if you are using the
[00:27:51] tool, uh, without a doubt you will be,
[00:27:55] uh, that will influence you. You
[00:27:58] who are normally in the case of...
[00:28:02] You as a professor of this, of this
[00:28:04] area, uh, how do
[00:28:08] you predict the next few years, that is, we could talk about
[00:28:11] 2030, there is talk of 2030 as the year where
[00:28:14] technologically
[00:28:18] we are experiencing now.
[00:28:21] Yes, totally, and I will give you two concepts to
[00:28:25] talk about narrow AI and general AI. What we live today is
[00:28:28] narrow AI, that is to say, it is
[00:28:32] tools made specifically to do something very well,
[00:28:36] the Tesla vehicle is made not to crash it, the AI is to not crash and
[00:28:40] drive the vehicle well, right? Google Maps that marks red when
[00:28:43] there is a queue is specifically for that, to mark the data on
[00:28:47] traffic, ChatGPT to give you the answer, yes
[00:28:51] there are many tools right now to make video, to make
[00:28:54] images, to even make songs, okay, that is
[00:28:57] narrow AI, narrow AI will lead us to general AI which is that
[00:29:01] idea of the humanoid robot self-deciding and
[00:29:04] self-creating, right? Uh, we want to get there, but for that
[00:29:08] we have to emulate human language correctly, but that will come out, well,
[00:29:12] every day a new tool comes out and infinite ones will come out, why?
[00:29:16] Because we must learn how we do things and that must
[00:29:19] improve, when will we get there? We are not in general
[00:29:23] AI today, close, well, I could tell you that I
[00:29:27] think in about 20 years we will be there, these are things that
[00:29:30] owners of this type of...
[00:29:35] And we are moving very fast towards that, right? Notice that for this
[00:29:38] to happen, the bases have to be laid
[00:29:42] and the bases of AI are basically two,
[00:29:46] one, where do I store this amount of data and
[00:29:49] how do I move this amount of server, that is, energy, okay, and if you
[00:29:53] notice, many news stories have come out like, uh,
[00:29:56] Oracle
[00:29:58] already loses in sales with its ERP, but wins in the
[00:30:02] clouds that Antropic is giving it and Google is giving it, right?
[00:30:06] That is, for it to store in my servers and also
[00:30:10] the United States is talking about many more servers and energy and always
[00:30:14] the topic of energy, right? That is very much in vogue, why? Because if I am going to
[00:30:17] grow the general idea, those two bases have to be very
[00:30:21] robust. Our time is up, thank you,
[00:30:24] thank you for your time, we were talking with Gabriel Montiel,
[00:30:28] an AI expert in this program of your questions, until next
[00:30:31] Sunday.