OpenAI promised them they would be happy selling hype and memes. Until reality hits

The news of the weekend is Sora’s closure. What was once the platform of the hype Regarding video creation, he says goodbye, leaving agreements behind millionaires with giants like DisneyOpenAI’s promise to be one of the big players in text to video, and doubts about the company’s strategy. The bet on hype. For some time now, OpenAI’s strategy has been to create hype, be the protagonist in the conversation, and wait for the user to assimilate its proposal. The problem? It is a strategy that worked in its initial phases, when OpenAI played practically alone. We saw it with Sora: the launch was the most talked about on networks, television and practically all media. Months after its launch, there was no way to use the app without VPN outside the United States (and in a very controlled way through its app in countries such as Canada, Japan, Korea or Vietnam) and was still in the experimental phase. The closure. Sora hasn’t lasted even two years. It was born in February 2024 and says goodbye in March 2026. What was born as the reference model for video creation remained a half-baked experiment, while Chinese giants or Google itself with their models I see They advanced and landed their models on the plane that really matters: the one that allows the average user to access it. The competition tightens. OpenAI promised them happiness two years ago, when ChatGPT had hardly any rivals and companies like Anthropic were in their early product stages. But photography has changed in just a few months: Claude is becoming, with almost daily iterations, the most complete chatbot (it is already much more than that). Gemini has been starting to eat his toast for a year. China is absolutely unleashed launching spectacular video models like Seedance 2.0. AI solutions are no longer promises and hype: they are rapid and controlled launches, integrated into platforms that any average user can access. If you don’t integrate, you don’t win. Seedance 2.0 has not even been running for three months and already It is beginning to be integrated into editing programs such as CapCut. AIs like KlingAI have been integrated into gigantic platforms like HighsfieldAI for months. Releases that materialize a few days after seeing the light, and that lay tangible foundations for the state of AI in text to video. OpenAI assumed that a minority of professionals would be willing to pay for the more expensive versions of GPT to access Sora. The reality: the competition is managing to create much superior mass-use tools, and OpenAI cannot afford tools like Sora. The money is on the other side. Sam Altman need to redefine the strategy. For the moment, he wants double the company’s workforcecenter everything in one superapp that reduces catalog and he has his eyes on Spud. This is the name given internally to the next great AI model they are preparing, one aimed at making OpenAI finally a profitable company. After years without a fixed direction, and with its rivals eating its toast, OpenAI faces its most complex stage: one in which selling hype is not enough. In Xataka | Sora’s closure is a sign: OpenAI takes a step back in the AI ​​race to completely recalibrate

The case of mathematics shows that the hype threatens to explode in their faces

A group of OpenAI researchers claimed to have “found solutions to 10 previously unsolved Erdös problems, and progress has been made on 11 others.” The statement seemed to indicate that GPT-5 had made an important qualitative leap in the field of mathematics, but the reality was very different. In fact, it all turned out to be an exaggeration that may harm OpenAI’s reputation going forward. what has happened. The OpenAI engineers’ claim was promising, but exaggerated. The original message from Mark Selke, one of them, was added to those of other researchers such as Boris Power—who he apologized after realizing that they had screwed up—or Sebastian Bubeck—who also ended up modifying the tweet and acknowledged the error—. The original tweet seemed to make it clear that GPT-5 had managed to solve several of the famous Erdös mathematical problems. I hadn’t really solved them. GPT-5 served to find solutions. The mathematician Thomas Bloom, who is precisely in charge of managing the website where all these open problems are managed, quickly clarified the situation. As explained on X/TwitterOpenAI’s claims were “a dramatically misinterpretation.” When he talks about “open” problems on the website, what he means is that he doesn’t know the solution, not that the problem has not been resolved. The only thing GPT-5 did was find recent research and studies that Bloom had not found. Here we must say that AI has managed to make striking mathematical advances recently: Meta AI, for example, managed to generalize the Lyapunov function. Demis Hassabis and Yann LeCun criticize OpenAI. Demis Hassabis, CEO of DeepMind, indicated in X that this event had been “shameful”, while Yann LeCun, one of the top AI managers at Meta, highlighted how OpenAI had believed its own hype sales message with the message “Hoisted by their own GPTards”, which plays on GPT and “tards” (a suffix derived from “retards”), in reference to the gullible expectations that OpenAI usually sells. Expectations are everything. Although OpenAI researchers and engineers admitted their mistake, what we see here is a dangerous pattern: one in which even the company’s own employees—or the enthusiasts who follow it—can end up falling victim to those expectations. It is very likely that internally the pressure to achieve great advances with their models is enormous, but that can lead to oversights and exaggerations like this that can cost the company’s reputation dearly. GPT-5 didn’t do badly at all. Although the role of GPT-5 in this process was exaggerated, what must be recognized is that this model demonstrated its ability to become a very valuable assistant for researchers. Thus, this AI model can search the Internet and scientific study libraries in a very powerful way, and can “find solutions” already published where academics had not yet seen them when trying to solve related problems. Research assistant. For mathematician Terence Tao, this is precisely a very striking element of these AI models: they may not solve the most complex mathematical problems, but can speed up tedious tasks such as those of the search for academic literature that helps solve them. For this expert, AI can help “industrialize” mathematics and act as a catalyst or “lubricant” for mathematicians’ hypotheses and theories. But this is important. OpenAI is a machine for creating expectations, and its CEO, Sam Altman, does not hesitate to make vague and impossible to verify promises to attract more interest in his generative artificial intelligence models. A year ago promised that the AGI would arrive “in a few thousand days”something that sounds like one of those “Musk’s promises”. risky bet. In recent weeks we have seen how OpenAI has reached unique circular financing agreements with NVIDIA, amd either Broadcom to create data centers, but the reality is that all these projects focus on one promise: that AI will be a fundamental part of our lives sooner rather than later. That can happen, of course, but if it doesn’t, the domino effect can be an absolute catastrophe given the tens of billions of dollars invested in such projects. Image | Vitaly Gariev In Xataka | If the question is whether there is an AI bubble, Sam Altman has just given the answer. One with which he wins

The “natural wine” has become fashionable. There is a place where he takes centuries without so much hype: Mass

In 83, Juan Pablo II visited the prison of Rebibbia, in Rome, and hugged Mehmet Ali Agcathe man who had tried to kill him a couple of years before the Plaza de San Pedro. In 89, a crowd accompanies the coffins of Jesuit parents killed in El Salvador. In 2016, in the middle of Holy Thursday, Francisco washed the feet of a group of refugees from the center of Castelnuovo di Porto … There are many iconic images around the Catholic Church. But for me the image that has impacted me the most happened a couple of years ago: when I saw the priest of my town, dressed in its clerriman, buying a tetra brick of red wine in the Mercadona. Had he found the origin of Mass wine? I had never wondered where the wine that was used in the Eucharist came from and, I suppose that for that reason, that image left me completely out of charge. And as normal, a question immediately approached me: “Was it possible that this was the wine that was used in Mass?” The answer, in case there is any questions, is: no. And here this article could end: with an anecdote of Berlanga that ends “fish -shaped“But no. Because, little by one that one starts to investigate, the history of sacred wine is really interesting. Sacred wine? Although it is true that the Catholic Church (and Christianity in general) has done a lot to take wine to any corner of the world, the sacred history of this type of broths is very long. In fact, Jesus of Nazareth came to ‘resignify’ a good handful of religious signs of common use. What is true is that it is not causality that most historical vineyards are on ecclesiastical terrain. Nor is it a coincidence that the development of the wine industry is intimately related to the comings and goings of the missionaries. Nor that the Vatican is the country that consumes the most from the world (about 45,000 liters a year for its 800 inhabitants). Wine and church have always been closely linked. And, for that reason, not any wine is worth it. Over the centuries, different criteria have been developed to know if a wine was likely to be used in the Eucharist. It is something that has been discussed extensively even in councils Like Florence of 1438. However, it was not until the nineteenth century when the Church (with the industrialization of the world of wine) began to take the idea of ​​establishing criteria that ensure the liturgical purity of wine. In fact, until 1959, as was the case with other things such as togas or candles, there were ecclesiastical certificates very difficult to achieve. The first certified wine was, in fact, Spanish. Prepared by Augusto de Müller Ruinart de Brimont, an Alsacian Even today is a reference in the sector. Maybe Do not be the best sellingworse is the one who has the most history (and It costs less than seven euros). In search of purity. The current Roman Missal is quite clear Around the wine that can be used: “It must be the result of the mature or passage grapes and without artificial additions such as preservatives, dyes, sugars, clarifying or juices. On the other hand, sulphites such as antioxidants or wine distilled to increase alcohol content, which should not exceed 18 degrees,” are allowed to add. The idea is to produce a wine that looks, in one way or another, which it has been using since time immemorial. The problem is that this means challenges that new wine techniques and enologies try to solve: The natural wine boom is part of the same game. Innovation that a bottle of natural wine can be surprising is still surprising. The color and taste depend on the winery. And from which he buys it. A background lesson. Because beyond the curiosity of who produces a product like this, the history of Mass wine tells us about how technological development is truffled with values, ideologies, religious beliefs and social configurations. Here it is seen in a simple way (the composition of the wine consumed by millions of people is discussed in ecumenical councils), but it is not so different from what operates in the natural wine that so fashionable has been put. Not many of the technological decisions of our day to day. History is always more complicated than it seems. Image | Mateus Campos Felipe In Xataka | Andalusia is very proud of its Holy Week. So much that he wants to start teaching it in schools

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