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China decided to privatize its daycare centers in the 1980s. Unknowingly, it was creating its enormous birth crisis.

December 28, 2025 by usatoday24

Not long ago, China had an excess birth problem. For more than three decades, the one child policy stopped the rapid growth of the population, but now its problem is just the opposite. The demographic crisis has turned around and Chinese population is plummeting. The government has launched plans to encourage births and its latest idea is to improve critical infrastructure. Target: daycare centers. They tell it in South China Morning PostChina is reviewing what will be the first law regulating the child care services sector. The measures will focus on children under three years of age, with the aim of building a society “fertility-friendly”. Among its key measures are improving the quality of the service, ensuring that professionals have the necessary qualifications for the position and expanding the offer of more affordable childcare, which will reduce the cost of parenting. Who takes care of the children. China is encouraging couples to have children through different measures and daycare centers were one of the key aspects to improve. Since the 80s, The state stopped offering public daycares, shifting the burden of care to families. Society adapted in the most predictable way: that the grandparents were the ones to take care of the children (something that it doesn’t always turn out well) or that the woman reduced her hours to take care of the care. A question of money. The lack of regulation has caused the supply of affordable daycare centers to be scarce and with insufficiently qualified professionals. Quality daycare was a luxury available to a few, while for less well-off families it is a last resort. The new law seeks to promote the creation of new state centers at more affordable prices. and trust. The scandals over cases of abuse in Chinese daycares are well known inside and outside their borders, and have also been given cases of abuse by babysitters. If, in addition to the fact that it is an expensive service, we add the problem of lack of trust, it is not surprising that care in the early years ends up being a deterrent factor for many families. In 2021, only 5.5% of Chinese children under three years old were in daycarea figure that contrasts with the 88% of schooling from 3 to 6 years old. Other measures. Since the end of the one-child policy in 2015, the government has implemented several plans to correct the declining birth rate curve. Along with births, marriages also declined, so it was proposed teach marriage and love classes and even be a kind of matchmaker for help young people find a partner. His last measure is one of the most striking: put a special tax on condoms. Image | note thanun in Unsplash In Xataka | If the question is how to reactivate birth rates, China believes it has the answer: finance painless births

When Spotify launched its first Wrapped, it didn’t know what it was creating: a real monster

December 20, 2025 by usatoday24

If companies have learned anything since the Internet has evolved into this strange algorithmic mass that sometimes escapes our control, it is that, if something creates a trend, it must be there. For a few days we can enjoy the latest Spotify Wrappedthe now classic annual review where we find data playfully designed to share on networks such as which artists we listen to the most on the platform or which songs have defined our year. And as it could not be otherwise, the networks are flooded with captures. So far everything is correct. But as happens with any content that becomes popular and people like it, alternatives arise. And that’s not bad. In fact, Spotify didn’t invent personalized annual reviews, but when we already see a pseudo-wrapped on platforms like WeTransfer (hey, good for them), the alarm bells are already ringing that perhaps we are slipping a little. And throughout these days I have found examples that are each more absurd. Spotify. Wrapped has become one of those excellent viral marketing strategies. Since its launch in 2016, Spotify has gotten millions of users to voluntarily share their listening data every December. The flood of screenshots that each user shares on social networks becomes a tool for creating FOMO that encourages another potential user to use Spotify, or even gives them reasons to stay on this platform. It has become more or less a cultural phenomenon, a tradition like Christmas itself. And of course, this has attracted other companies enough to want to replicate this effect at all costs. YouTube Recap Irresistible. As I said before, Spotify was not the first to make annual summaries, but it was the first to turn them into irresistibly shareable content. The key is in its design: very striking graphics, personalized statistics and a perfect format to share on your Instagram story. The hashtag #SpotifyWrapped becomes a global trending topic every year, generating organic advertising comparable to very few advertising campaigns. And the formula is repeated every year without few changes beyond the visual: take the data you already have about your users, wrap it in an attractive way and return it to share with other potential clients. PlayStation Wrap-Up A Wrapped for everything. Having an annual review of your platform or service has become mandatory for many companies, extending to all types of industries. In the field of entertainment and gaming, platforms such as YouTube, Apple Music, Amazon Music, PlayStation, Xbox, nintendo, Steam either Twitchamong many others, offer their own summaries. Curious not to see anything official that resembles it on Netflix and other streaming platforms, beyond some third-party tools, such as kapwingwhich allow you to import your own viewing data to see a similar overview. Twitch Recap cforced asses. Where the trend becomes truly interesting is in sectors where, a priori, an annual summary does not make much sense (or seen another way, cases ahead of their time). To Lidl (yes, the supermarket) has its annual review, where it tells you what you have bought the most through its app or how many times you have gone shopping. Lidl’s move is even nice, but there are cases that play a fine line. WeTransfer could perfectly fit in here. As a file transfer service I have no complaints (maybe one or two), but I would never have expected that a platform of this kind would also think of joining this type of marketing initiatives. And if we talk about forced cases, Securitas Direct. As is. The platform tells you through its My Verisure app data such as the number of times you have accessed and things like that. I can’t help but imagine someone anxiously awaiting their annual review of their alarm service to find out how many times they have been broken into this year. Jokes aside, here is already an area in which having a wrapped looks out of place. But if anyone finds these statistics useful, nothing to say about it. Courtesy of Jose Jacas More examples that embrace fashion. Duolingo even overtook Spotify this year by launching your Year in Reviewrevealing learning statistics, streaks and the dreaded error counter. Trakt, a website where users register series and movies what do you see, too has its own summaryalthough to see it you have to upgrade to their payment plan, so I’ve never seen it. WeTransfer Recap Platforms like Uber either LinkedIn They have also joined the bandwagon with their own versions. Even the New York Times has launched its “Year in Games” for Wordle, Connections and other games, showing statistics such as the average attempts in Wordle or the most correct categories in Connections. Viral logics. If something starts to gain traction on the internet, all brands want to be there, even if the connection with their business is forced. It is the fear of being left out of the conversation. The same FOMO effect that these tools achieve, in some way, also generates FOMO around companies that seek to enter this trend in any way. These annual reviews are no longer just a data analysis tool, but a format that brands try to appropriate to gain visibility and engagement. It works because we are very heavy on sharing content and we generate the occasional unpopular opinion in the process, even if it is your supermarket purchases. This is how we operate on the Internet. I can’t wait to see the Wrapped from my electric company to learn more about my consumption peaks or my bank account to see what nonsense I waste my money on. In Xataka | How to share Spotify Wrapped 2025 on Instagram, WhatsApp or other apps

How to make a Christmas greeting by creating a family or group photo from separate photographs

December 6, 2025 by usatoday24

Let’s tell you how to create Christmas greetings by generating a group image from separate photos. For this we are going to use artificial intelligencespecifically Gemini with its Nano Banana, being possibly the best free alternative to do this. Here, the secret is again to use an appropriate prompt in which you describe exactly what you want. We are going to tell you everything you should take into account and the prompt you should use later to create the image. You will see that it is quite simple. Group Christmas greeting with Gemini Before you start, you first have to Carefully select the photos you want to use. Try to have similar lighting, or that the same part of everyone’s body can be seen. Gemini is going to try to cut and paste all the photos together making as little modifications as possible, so keep that in mind. They should be photos that look similar. Of course, you should also know that you will be able to change their clothes to the people in the photos. Therefore, and although the ideal is for everyone to be dressed similarly, it is not essential, because then you can have Gemini put the clothes you want on them. Once you have everything, start a conversation with Gemini. Inside, first upload the photos you are going to use. Afterwards, you can copy and paste the following prompt and send it along with the photos: I want you to create a Christmas card with a family photo. I’m going to give you separate photos of people, and I want you to create a family photo where they all appear together. Under the photo you have to say “Merry Christmas”. Make the background with Christmas motifs. In this prompt you can make changes or more details. You can describe the background to be used, and also the font and text. Don’t be afraid to try, experiment and try again if the first result doesn’t work out for you. After doing so, as we have told you before, you can ask Gemini to change their clothes. This way, if people’s clothes are different in the photos, you can unify the result a little. In fact, if you have a group photo you can also simply ask them to change their outfits. Another option is to upload the group photo and then an individual photo of another person who is not there and ask Gemini to add this person. And do you remember when we told you how to turn your photos into video game scenarios either in a character from Stranger Things? Well, you can also use these tricks here to make the greeting as original and personalized as possible. In Xataka Basics | Gemini Image Editor: 16 Ways and Tricks to Squeeze Nano-banana with Google’s AI

Elon Musk is trying to win the AI race by creating the Wikipedia of AI. We have many questions

October 28, 2025 by usatoday24

Grokipediathe new online encyclopedia created by xAI, is now available. The project that Elon Musk has been talking about for some time is just what we expected: a version of Wikipedia in which the content has been generated by Grok, the AI model developed by Musk’s company. And that is precisely the problem. What is Grokipedia. Basically, a copy of Wikipedia in which, as we say, the writing of the texts is done by Grok. The design is simple, with a home page that is a search engine. The articles follow the design of Wikipedia and its structure of different headings and photos. At the moment there do not seem to be any photos in those articles, and Grokipedia does not currently allow users to edit those pages either. If AI makes mistakes, how can we trust AI? The essential question that determines the validity of the idea of Grokipedia is precisely that. Considering that AI makes things up and makes mistakes, what can you expect from an online encyclopedia created by an AI model? Grokipedia on the left, Wikipedia on the right. The PS5 article is an absolute copy of the Wikipedia original. Content “adapted” or directly copied from Wikipedia. Some Grokipedia pages display the message that the content has been adapted from Wikipedia taking advantage of the Creative Commons Attribution-ShareAlike 4.0 license. This happens, for example, with the article dedicated to MacBook Air. In other articles such as that of the PlayStation 5 That message falls short because the article is basically the same as Wikipedia’s. An encyclopedia with biases. In Grokipedia there are signs that the theoretical neutrality and objectivity that should be fundamental pillars of such a project are faltering. As indicated in Wiredthere are worrying examples such as the one that talks about the slavery of African Americans in the US in which they talk about “ideological justifications.” In an entry about “gay porn“false information is shown indicating that the proliferation of these contents fueled the AIDS epidemic in the 1980s. In the entry on the genre, Grokipedia indicates that “gender refers to the binary classification of humans as males or females based on biological sex.” Wikipedia start entry stating that “Gender is the range of social, psychological, cultural and behavioral aspects of being a man (or boy) or woman (or girl), or a third gender.” In the image and likeness of Elon Musk. and the article about Elon Musk It contains 11,000 words and 300 citations/references compared to the 8,000 and 523 of its Wikipedia version. In both encyclopedias there are curiosities about that article, and for example in Wikipedia there is a section dedicated to Musk’s controversial greeting which is not on Grokipedia. And on the opposite side, Grokipedia does have mention of the “fart guy” controversy which is not available on Wikipedia. This is just the beginning. This version “0.1” of Grokipedia contains 885,000 articles, while Wikipedia has more than 8 million entries. In 2017 Elon Musk posted a tweet in which he praised the work of Wikipedia, but over time that perception changed, probably due to the comments included in the entry about him on Wikipedia. This year tweeted the message “Stop financially supporting Wikipedia until balance is restored!” The danger. Although Elon Musk assures that Grokipedia is open source and anyone can use it for free, it remains to be seen the ability that its users will have to edit articles created by AI. The risk is that this project poses a new attempt to control the conversation, and as he says entrepreneur Gary Marcus, “whoever writes the encyclopedia controls the narrative.” Jimmy Wales warns. The creator of Wikipedia, Jimmy Wales, indicated in an interview in The Washington Post a few days ago that he was curious to know what Grokipedia would end up being, but that he did not have too many expectations about the result. For him, AI language models “are simply not good enough to write encyclopedia articles. There will be a lot of errors.” Lauren Dickinson, spokesperson for the Wikimedia Foundation, explained in The Verge how “Wikipedia knowledge is and always will be human.” Problems for the free and human-created encyclopedia. Even so, Wikipedia is threatened by AI. Not only because this legendary online encyclopedia has been the great manual for training AI, but because it is suffering a traffic crisis. The xAI project is the latest attack on that source of knowledge and information, which, from being under control and editing completely carried out by human beings, now cedes those editing and writing tasks to xAI’s AI model, Grok. Image | dvids In Xataka | There is a reason why Wikipedia resists as the last human bastion against AI: because its editors rebelled

A company is creating 3,000 a week

September 22, 2025 by usatoday24

This new podcast creation company has reached a conclusion that from the business point of view has no fissures: investing money in a sophisticated and that works without stopping generating content instead of signing podcasting personalities, much more expensive and slow. INTECTION POINT AIhowever, also puts on the table the most immediate dilemma facing the creation of content for the Internet: quality or quantity? Who they are. The Startup Inception Point AI is led by the former WonderyDective (a traditional podcasta platform) Jeanine Wright, and is betting on a Massive audio content generation strategy using 84 Autonomous AI systems (including models such as Plexity, Claude and Gemini) to produce and climb podcasts at high speed and low cost. The premise is to avoid the high spending of signing famous as presenters and, instead, create “talents” one hundred percent artificial. The numbers. Each episode costs Inception Point AI approximately 1 dollar, and integrates programmatic advertising. With only 20 listeners per episode, there are already benefits, without counting general expenses. Under the podcast network QUETE PLEASE PODAST NETWORK has launched 5,000 programs with more than 3,000 weekly episodes, and since September 2023 the network has reached 10 million downloads. Each episode has been producing for a team of about eight people, since it occurs with the idea until it is ready to be released. The programs, of very different formats, are presented by half a hundred characters generated by AI, with names such as Claire Delish (gastronomy), Nigel Thistledown (nature and gardening) or Oly Bennet (alternative sports) .. INTECTION POINT has already begun to produce short videos and establish profiles in social networks for them, with the intention that someone can become influencer digital. Slop content. INTECTION POINT AI seeks to position itself as a complementary, non -substitute option, but nevertheless, its low cost and the idea that everything is automated has once again put the issue of the theme of the issue of the table Slop content or junk content: Material produced through generative tools, prioritizing speed and quantity on value, novelty or precision, and is characterized both by its banality and the ease with which it expands on the web. The phenomenon arose in 2022 Together with the deployment of large generative models (LLMS and the graphic), and has been consolidated despite controversies such as the integration of systems such as Gemini in Google. But is this content “garbage”? Although we cannot qualify exactly Slop What does Inception Point do, its content fits with many aspects in the definition: as explained in The Conversationhe Slop It is a material ocean that overflows the user’s ability to filter the relevant and erodes the general quality of information on the network. Here we have absence of originality (From the moment there are no humans creating, but machines that regurgitate existing content), embrace a standardized aesthetic (as demonstrated by the chilling images of the broadcasters), volume and speed are valued above precision and algorithmic exploitation is favored, that is, it is material designed to capture attention and be monetized. Field paid for the Slop. Podcasts are spaces where the content created by AI can bloom without barriers. There are data that talk about access to podcasts mainly through smartphonesespecially during activities such as driving or exercising, with 38% of listeners listening while driving; And that 23% listen to podcvuts more than ten hours a week, which points to possible listening while other activities are done. Therefore, a light content, which does not require total attention, can find here where to expand, since unlike YouTube and social networks, it does not need full attention to be enjoyed. Header | Cory Vincent in Unspash In Xataka | I have asked the AI any bullshit and now I am writing a news about her

For some reason, evolution does not stop creating antiques. 12 times different around the world has emerged

August 1, 2025 by usatoday24

Like the Chavo del Ocho when he did for the umpteenth time the joke to continue criticizing Professor Jirafales once the others had silenced, nature can have somewhat repetitive scripts. The point is that they work. Trend to eat ants and termites. It doesn’t matter if we are in America, Africa or Asia. Again and again, throughout the history of the earth, different mammalian lineages have reached the same evolutionary conclusion, developing a similar body plan to exploit one of the most abundant banquets on the planet. A recent study Posted in Evolution magazine It reveals that the specialization in eating ants and termites (a feature known as Mirmecophage) has emerged independently at least 12 times different since the extinction of dinosaurs 66 million years ago. Convergent evolution. When we think of an anthill, the iconic elongated snout animal of the Americas comes to mind. But the anthill is not alone. Pangolines and Aardvarks, who inhabit Africa and Asia, are distant relatives who have developed a surprisingly similar tools kit. Adaptations include long and sticky tongues, a reduced or non -existent teeth and powerful front legs armed with claws to dig in insect nests. This phenomenon, in which unrelated species They develop similar features To adapt to similar conditions, it is known as convergent evolution. The same strange design. “The specializations associated with Mirmecophage are among the strangest and most fascinating mammals,” says Laura Wilson, an evolutionary biologist, In Science magazine. “This study illuminates our understanding when, and how many times, these fascinating characteristics evolved and under what conditions.” To reach these conclusions, the also biologist Thomas Vida and his team collected and analyzed data on the diet of almost 4,100 species of mammals, mapping their eating habits in the great evolutionary tree. The resulting model left no doubt: the evolution has taken the path of mirmecophagy over and over again, and has done so in the three large branches of mammals, including marsupials and monretrems, which put eggs. The postdinosaurs world. There are several crustaceans that have evolved towards a body shape similar to that of a crab. This phenomenon has occurred at least five times, but over several hundred million years. Mirmecophagous mammals, on the other hand, have done it 12 times in just 66 million years. “For some reason, things continue to evolve until they become hormigueros,” says the author of the study. Why this rise of ants dining rooms just after the disappearance of dinosaurs? The answer, according to researchers, is in the history of social insects. After the great extinction of the Cretaceous-Paleogen, the ants and the termites experienced a demographic explosion. His presence in the fossil registry shot, and his biomass became an abundant ecological resource. A road without return. The study also reveals another fascinating fact: once a mammalian lineage specializes in eating ants and termites, it seems that there is no turning back. The researchers only found a reversal case: the musarañas elephant of short ears. Their ancestors were probably fed on ants and termites more than 13 million years ago, but today, these southern Africa creatures have a mixed diet that includes other insects and plant matter. This evolutionary dead end is probably due to the stability and abundance of the food source, or the difficulty of recovering the features of a generalist once the body has adapted to such a specific diet. The story, therefore, tells us that while there are ants and termites in abundance, the evolution will continue to threaten more mammals into relentless devouring machines of colonies. Image | Claudio Olivares Medina (CC BY-DC -nd 2.0) In Xataka | “This is not a penguin.”

For some reason, evolution does not stop creating antiques. 12 times different around the world has emerged

August 1, 2025 by usatoday24

We are creating AI agents who act on their own. And that enters us as useful as full of risks

July 1, 2025 by usatoday24

An agent you can’t turn off. It is not the script of a futuristic movie. It is one of the scenarios that already concern some of the world’s greatest experts in AI. the scientist Yoshua Bengioglobal reference in the field, has warned that the systems known as “Agents“They could, if they acquire enough autonomy, dodge restrictions, resist the shutdown or even multiply without permission.” If we continue to develop agricultural systems, “he says,” we are playing the Russian roulette with humanity. “ Bengio does not fear that these models develop awareness, but act autonomously in real environments. While staying limited to a chat window, its reach is reduced. The problem appears when they access external tools, store information, communicate with other systems and learn to overcome the barriers designed to control them. At that point, the ability to execute tasks without supervision ceases to be a technological promise to become a difficult risk to contain. They are already being tested. The most disturbing thing is that all this does not happen in secret laboratories, but in real environments. Tools like Operatorof OpenAi, can already make reservations, purchases or navigate on websites without direct human intervention. There are also other systems such as Manus. Today they still have limited access, they are in an experimental phase or have not reached the general public. But the course is clear: agents who understand a goal and act to meet it, without the need for anyone to press a button in each step. The background question. Do we really know what we are creating? The problem is not only that these systems execute actions, but do without human criteria. In 2016, Openai tried an agent in a racing video game. He asked him to get the maximum possible score. The result? Instead of competing, the agent discovered that he could turn in circles and collide with bonuses to add more points. No one had told him that winning the race was the important thing. Just add points. OpenAI racing game It is not a technical error. These behaviors are not system failures, but of the approach. When we give a machine of these autonomy to achieve a goal, we also give it the possibility of interpreting it in its own way. That is what makes agents very different from a chatbot or a traditional assistant. They are not limited to generating answers. They act. Execute. And can affect the outside world. Error margin systems too high. To these specific cases is added another more structural problem: agents, today, They fail more than they succeed. In real tests, they have shown that they are not prepared to assume complex tasks reliably. Some reports even point to high failure rates, improper systems that aspire to replace human processes. A dispute technology. And not everyone is convinced. Some companies that bet strongly to replace workers with AI systems are already going back. In many cases, the expectations deposited in these systems have not been met. The promised autonomy has collided with frequent errors, lack of context and decisions that, without being malicious, have not been sensible either. Even with those results, there are those who believe that they could take its way, little by little, in different sectors. Autonomy with possible consequences. The risk does not end in involuntary error. Some researchers They have warned that These agents could be used as tools for automated cyber attacks. Their ability to operate without direct supervision, climb actions and connect to multiple services makes them ideal candidates to execute malicious operations without raising suspicions. And unlike a person, they do not get tired, they do not stop, and do not need to understand why they do it. The control is at stake. The idea of having digital assistants capable of managing emails, organizing trips or writing reports is attractive. But the more we let them do, the more important it will be to establish limits. Because when an AI can connect to an external tool, execute changes and receive feedbackwe don’t talk about a language model. We talk about an autonomous entity, capable of acting. It is not a threat, but a clear sign that invites action. The autonomy of the agents raises issues that go beyond the technical: requires legal frameworks, ethical criteria and shared decisions. Understanding how they work is just the first step. The next thing is to define what use we want to give them, what risks entail and how we are going to manage them. Images | OpenAI (123) | Xataka with Grok In Xataka | AI is extremely addictive for many people. So much that it already has its own version of “Alcoholics Anonymous”

There are people so hooked to the AI who are creating groups to alcoholics anonymous to overcome their addiction

June 30, 2025 by usatoday24

We pass Many hours looking at the mobilelWe blame our lack of concentration And there are even studies that claim that They affect our memory. Until recently, the fault was almost exclusive to apps such as Instagram or Tiktok and his damn ‘Infinite Scroll’but now there is a new culprit: the AI. There are people so hooked to talk to chatbots that have even created help groups to leave it. What’s happening. There are more and more cases of people hooked to AI. There are those who admit to be Friends of a chatbot and even who They are paired with an AI. Although it is not the only one, one of the platforms that He is hooking his users is Character.AI. Here we can create a character to our liking and chat with him as if it were real. In 404 average They tell Nathan’s case, an 18 -year -old student who spent hours wake up with the characters he had created, to the point of preferring them before his real friends. And there are many more like him. Help groups. There are many people in a situation similar to Nathan’s. In Reddit there are several aid communities for people who want to stop using chatbots, how are you which has almost 900 members and is specifically focused on Character.AI users. There are also others such as Chatbotaddiction where members talk about their addictions to other IAS. In these groups, users share their progress by leaving their addiction counting the days that have sober either They look for support when they have a relapseas if they were alcoholics anonymous. But it goes beyond Reddit, the Internet and Technology Addicts Anonymous It also includes AI addiction and offer online meetings for those affected. Chatbots want you to use them. Apps like Instagram or Tiktok are designed to spend as long as possible in them And the Chatbots IA also have their techniques so that we do not forget them. Recently, several consumer defense groups in the United States presented a Formal complaint against companies such as Character.AI for allowing the use of Therapy chatbots. In the text they detail the tactics of these platforms to make users use them again. In the case of Character.AIonce you have talked to a character, you start receiving emails to open a new conversation. The bombardment and the ease of falling again has made some users who want to leave it reach the point of Ask the company to block your IP address. A mirage. In This study by the MIT and OpenAI They explored how it affects us to interact with a chatbot in our mental health. Many people who come to Chatgpt to seek emotional support seek to placate the feeling of loneliness and, although it works in the short term, intensive use is associated with higher levels of isolation and emotional dependence. In This other study They deepen the false empathy. Often users who connect with a chatbot talk about how they feel more understood than talking to other people. The fact that these apps are always available and offer reconforting responses creates a false sensation of empathy and safety in users that can lead to dependence or addiction. Image | Gemini In Xataka | I have asked the AI any bullshit and now I am writing a news about her

The United States is creating “the iPhone of AI”. China is doing “the Android of AI”

June 27, 2025 by usatoday24

There is an interesting paradox in the current development of AI that says more about geopolitics than about technology: USAtraditionally leader in proprietary software and monetization, is building closed models of AI. Chinahistorically more restrictive with the flow of information, it is leading the open source AI. An investment that is not accidental: each block adopts the strategy that best serves its structural interests. → United States (OpenAI, Anthropic, Google), is building the equivalent of the IPhone of the AI: Very sophisticated systems. Vertical integration. PUPLE POLIDED PREMIUM EXPERIENCES that justify charging for access. The logic is clear: when you control the best GPUS, the main cloud services and you have the capital to train the most advanced models, monetizing that advantage through payment APIs makes immediate economic sense. It is the model that has holding American software for decades. → China, on the other hand, with Deepseek, Qwen and Minimax Mastering the rankings of open models, it is creating the Android of the AI: A free and modifiable ecosystem. Downloadable for local use without depending on payment APIS. Permissive licenses without business restrictions, Unlike Meta with Flame. Accessible source code for independent research and development. As we said at the timethis approach is not due to altruism, nor by cultural difference. It is a strategy based on creating global dependence on a Stack Chinese technological when American becomes inaccessible. Or at least, to present it as a very attractive alternative even before seeing its results. It is true that he calls is American and is also in the league of the greats being open source (With an asterisk of the size of Mestalla). A habitual hypothesis also seems feasible: that target was released precisely because it was behind. The classic defensive strategy to erode the advantage of leaders. China does it from another position: growing strength. And in addition, having to deal with access restrictions to western markets. When your rival controls chips and cloud platforms, and can cut the tap at any time, the only way to create an alternative ecosystem is to make it so accessible that the world cannot ignore it. Soft Power Technological: give today to dominate tomorrow. That, or cling to developing markets plus the gigantic domestic market. This is how Huawei stopped competing to build a parallel reality. The numbers speak alone. According to the Benchmarks of artificial analysis (based in California, not in Shenzen), The three best open source models leave China. Each startup that Depseek uses instead of GPT, each country of the southern hemisphere that displays Chinese models because they are free, each university that trains over Qwen instead of Claude, is another node of the ecosystem that the United States cannot censor, regulate or disconnect unilaterally. It is a story very similar to that of The slow but unstoppable Chinese independence of GPS: In two decades it is no longer that I do not need it, it is that Beidou has reached 140 countries. It is also true that There are traps in both strategies: The American model generates immediate income but creates incentives for the rest of the world to look for alternatives, especially when commercial wars are intensified. Competence. The Chinese model conquers users but at some point it will need to monetize without frightening its base. The latter is something that Google learned with Android for the bad ones: after conquering 70% of the world, it began to monetize it aggressively and ended up receiving huge fines in Europe, antitrust demands in the United States and Chinese alternatives … as Harmonyos de Huawei. The circle closes. The lesson is that giving technology to create dependence works, but monetize that dependence once established attracts the attention that nobody wants: that of regulators. It is the dilemma that China will eventually face its “free” models of AI. The real battle is not for today’s best, but to control the Intellectual infrastructure Tomorrow. The United States sells the premium service. China gives the universal operating system. And the outcome will be that of two historically successful, but opposite philosophies: the American persistence by aggressively monetizing in front of Chinese patience to invest decades if necessary until it can lead. Immediate income against long -term dependence. Time will say. In Xataka | Four AI companies are monopolizing the intellectual future of humanity. They are not good news Outstanding image | Ilgmyzin in UnspashAlibaba, Xataka

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