openai

He has just taken an outstanding Openai researcher, according to Bloomberg

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What are the ingredients to win the artificial intelligence career or, at least, to ensure a place in the elite? There is no magical recipe, but there are three key elements: Leadership, talent and investment. All are intimately related, and the companies that compete in this field spare no resources to ensure them. It is no accident that Google and Meta have offered millionaire conditions to reinforce your artificial intelligence teams. This context has caused the output of outstanding profiles of OpenAIwho have found accommodation in the competition. But to the threats representing the American technological giants now adds a new actor: Tencent. A OPENAI jump to Tencent that does not go unnoticed Bloomberg says that the Chinese conglomerate He has signed the reputed researcher Shunyu Yao, in what he describes as “One of the most notorious defections from the United States AI sector to China. ”The information comes from sources close to the case that spoke with the environment under anonymity. When reviewing the Yao LinkedIn profileit is observed that he worked almost five years at Princeton University before joining Research Intern A OpenAI in February 2024. Four months later he was promoted to Research Scientistposition that continues to appear as his last position. One of the sources cited by Bloomberg points out that Tencent offered Ya a compensation that could reach the 100 million yuan (about 11.9 million euros), although the necessary conditions to reach that figure have not been specified. The medium also emphasizes that Yao is a graduate of the University of Tsinghuaconsidered the reference institution in science and engineering in China, and which later completed a doctorate in the United States. A report from the Information and Innovation Technologies Foundation It reflects how the panorama has changed in just a few years: in 2019, 35% of the highest level researchers (2% higher worldwide) were originally from the United States, compared to 10% of China. However, in just three years, the US fee fell 7%, while China grew 16%. If the rumors are confirmed, we would not be facing a talent formed in the United States that emigrates to China, but before a Chinese researcher who, after acquiring first level experience In the North American country, he returns to his country with that background. China seeks to compete from you to you with the United States for leadership in artificial intelligence. Tencent is not any actor: he is one of the world’s largest technological groups, owner of Wechat —The most used messaging application in China – and the social network QQ. In addition, he is a giant in video games, both as a developer and editor and investor in global studies. According to the sources, his goal when signing Yao is to strengthen the integration of AI in their products and services. It remains to be seen if this movement is an isolated case or the beginning of a trend. What is clear is that the career for the development of AI is no longer just a matter of technological innovation: a war is also fought for attract the best talent. And Chinese companies have no intention of being left behind. Images | Donald Wu | In Xataka | Alibaba has just demonstrated that Openai spends 78 million to do the same as them for $ 500,000

Alibaba has just demonstrated that Openai spends 78 million to do the same as them for $ 500,000

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There is a new star technique to train AI models super efficiently. It is at least what Alibaba seems to have demonstrated, that Friday presented His family of QWEN3-next models and did so presuming from spectacular efficiency that even Leave behind the one he achieved Deepseek R1. What happened. Alibaba Cloud, the Alibaba group’s cloud infrastructure division, presented a new generation of LLMS on Friday that described as “the future of efficient LLMs.” According to those responsible, these new models are 13 times smaller than the largest model that that company has launched, and that was presented just a week earlier. You can try QWen3-Next On the Alibaba website (Remember to choose it from the drop -down menu, in the upper left). QWen3-Next. This is what the models of this family are called, among which it stands out especially QWen3-Next-80b-A3Bwhich according to developers is up to 10 times faster than the QWEN3-32B model that was launched in April. The really remarkable thing is that it also manages to be much faster with a 90% reduction in training costs. $ 500,000 is nothing. According to AI Index Report From Stanford University, to train GPT-4 OpenAI invested $ 78 million in computation. Google was further spent on Gemini Ultra, and according to that study the figure amounted to 191 million dollars. It is estimated that QWEN3-Next has only cost $ 500,000 in that training phase. Better than its competitors. According to the benchmarks made By the artificial firm Analysis, QWen3-Next-80B-A3B has managed to overcome both the latest version of Deepseek R1 and Kimi-K2. Alibaba’s new reasoning model is not the best in global terms-GPT-5, Grok 4, Gemini 2.5 Pro Claude 4.1 Opus overcome it-but still achieves outstanding performance taking into account its training cost. How have you done it? Mixture of experts. These models make use of the Mixture of Expert architecture (MOE). With it, the model is “divided” into a kind of neuronal subnets that are the “experts” specialized in data subsets. Alibaba in this case increased the number of “experts”: while Depseek-V3 and Kimi-K2 make use of 256 and 384 experts, QWen3-Next-80b-A3B makes use of 512 experts, but only activates 10 at the same time. Hybrid attention. The key to that efficiency is in the so -called hybrid attention. Current models usually see their efficiency reduced if the input length is very long and have to “pay more attention” and that implies more computing. In Qwen3-Next-80b-A3B, a technique called “Gated Deltanet” is used that They developed and shared MIT and NVIDIA in March. GATED DELTANET. This technique improves the way in which the models pay attention when making certain adjustments to the input data. The technique determines what information retain and which can be discarded. That allows creating a precise and super -efficient cost mechanism. In fact, QWEN3-Next-80B-A3B is comparable to the most powerful Alibaba model, Qwern3-235B-A22B-Thinking-2507. Efficient and small models. The growing costs of training new models of AI begin to be worrisome, and that has made more and more efforts to create “small” language models that are cheaper to train, are more specialized and especially efficient. Last month Tencent presented models below 7,000 million parameters, and another startup called Z.AI published its GLM-4.5 Air model with only 12,000 million active parameters. Meanwhile, large models such as GPT-5 or Claude use many more parameters, which makes the necessary computation to use them much greater. In Xataka | If the question is which of the great technology is winning the AI ​​career, the answer is: None

Openai estimates that it will enter 200,000 million dollars in 2030. The figure, like everything in OpenAi, is extremely ambitious

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OpenAI has set a target of 200,000 million dollars for 2030, as reported The Information. Your own internal documents reveal that to achieve this you will need multiply by 13 your current income In less than five years. Why is it important. The company is burning billions per month and plans to spend 90,000 million only in R&D by 2030. This represents 45% of its projected income, well above the percentage allocated by large technological ones, which remain mostly between 15% and 30% of their gross benefit, not even their income. If Openai’s income is below the goal, that percentage will be even greater. The figures. Openai expects to move from 13,000 million income at 2024 to 200,000 million in 2030. Its R&D expenditure would be proportionally double that of the most successful technological technological ones, much more mature and settled. To achieve this, it basically depends on large companies continue to invest in generative. If there is A brake on investmenteven if that does not imply the burst of a bubble, OpenAi will have accounting problems. In addition, this projection rises up to only one semester. OpenAI has increased the expected billing by 2030 by the beginning of the year. The big question. Is a business model sustainable where almost half of the income – even the gross benefit – is destined for research and development? If business income does not rise as Openai projects, the company will have a serious problem. Yesterday it was announced Your agreement with Oracle committing to a huge investment level to which you can hardly face except that you change the screws, or to deliver a good part in kind (business use licenses), as Microsoft did with it paying in Azure credits. In Xataka | Baidu is no longer satisfied with being the Chinese Google. His new AI model also wants to turn it into China Openai Outstanding image | IlgmyzinXataka

Openai and Microsoft’s convenience marriage touches its end. The divorce, surprisingly, is being friendly

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Openai and Microsoft have reached a preliminary agreement in which the new terms of their business relationship are established. In it Official announcement It is made clear that the terms of the agreement still have to define themselves, but there is a clear thing: the idyll is finally ended. Why is it important. What began as a idyllic relationship It has ended up becoming almost a toxic relationship that was preventing both companies from looking for other paths. Between 2019 and 2023 Microsoft invested more than 13,000 million in OpenAiwhat according to The New York Times gave Microsoft about 49% of OpenAi’s future benefits. OpenAi getting rid of their chains. The firm led by Sam Altman has been trying to change its structure and get become a profit company (“For-Profit”). The agreement with Microsoft, who did not want to give up his privileges, was one of the obstacles, but this agreement seems to pave the way for that business transformation. The discord clause. The original agreement included a clause that He rescinded access from Microsoft to OpenAi’s most advanced models when it is I would decide that had reached the famous General Artificial Intelligence or AGI. This clause is still part of the new agreement but has been modified according to sources close to the process Possible outposive. The agreement could “unlock” Openai both in its passage to “for-profit” and for a potential outlet. Right now OpenAi cannot get money from the general public and the traditional investment market, But it would remain managed by the NGO. The startup also indicated that it would offer at least 100,000 million dollars to the non -profit organization that will continue to control Openai’s future once it is transition to its new format. Bret Taylor, company manager, affirmed that in this way the NGO would be “one of the philanthropic organizations with more resources in the world.” Sources close to the agreement indicate that this NGO would have an OpenAI participation that would exceed 20%. What both were looking for. The long commercial relationship has been beneficial for both parties, but market growth has caused one and another to seek ways to continue growing in the AI ​​market and this agreement blocked them largely. According to sources close to the aforementioned negotiations In axios: Microsoft wanted to continue having access to OpenAi’s technology and products, something logical considering that he reverts them Like your Copilot services. Openai wanted freedom to move forward with his restructuring plans and to reach agreements with other infrastructure providers, as has happened with Oracle this week. A friendly divorce. In recent times it has been seen how both OpenAi and Microsoft have been making movements that were clearly aimed at search for a plan B In the AI ​​race. That was causing a delicate situation that now seems to soften satisfactorily for both companies. In Xataka | The marriage between Openai and Microsoft is broken at times. The problem is that both are still needing

Microsoft has just made the greatest investment in its history. And not in Openai, but in an unknown Dutch company

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Nebius Group, an unknown company based in Amsterdam, has signed a surprising multiannual agreement worth $ 19.4 billion with Microsoft. It is in fact the largest investment ever made by the firm of Redmond, and the question, of course, is why. What is Nebius Group. The company was founded in 1989 as Yandex NV, Yandex’s legal matrix, the well -known search engine that was a rival of Google in Russia. After the invasion of Ukraine by Russia, Nebius Group Yandex sold to a group of Russian investorschanged his name to the current one and focused on a key segment: that of artificial intelligence. Data centers to power. Specifically, in the field of servers and data centers. Since then Nebius Group has been dedicated to providing cloud infrastructure for companies that develop and run AI models. Your rivals They are companies such as Coreweave, Crusoe or Lambda Labs, which are a step below the “hyperscators”, Aws, Azure, Google Cloud or Oracle. The agreement. In it Document registered in the SEC The US indicates that Nebius will yield the computing capacity of the GPUS of its data centers in varisa phases this year and the one that comes, and that the total value of the contract will be 17.4 billion until 2031, with an option for Microsoft to extend those services worth 2,000 million additional dollars. Microsoft cloud reinforcement. The agreement will allow Microsoft to access the computing resources available to Nebius in its Vineland Data Center (New Jersey, USA). It is a movement clearly for solve the shortage of resources that is coming when managing AI workloads: more and more users make use of this type of technology and Microsoft current data centers have a limited capacity. More than OpenAi. The operation is even greater than the one that Redmond’s firm He did in Openai Estimated at $ 13,000. This alliance has allowed Microsoft to have exclusive access to OpenAi’s models and reuse them in the form of its Copilot platform. Meanwhile, Openai has been able to use the Microsoft infrastructure to train and serve those same models to the general public. Nebius rises to the beast in the stock market. The agreement has triggered the value of Nebius’s shares, which had already folded their value in what we had been, but after the news They have grown 60%. The effect is contagious, because one of its srival, Coreweave, has also risen 5% in the stock market without having made any announcement: it has simply become possible candidate for Microsoft or any other large company to invest in its services soon. European taste centers. Although it has roots in Russia, Nebius seems to want to leave that past behind to settle definitively in the European Union. The company current account with five data centers: three operations (Helsinki, New Jersey and Kansas City) and two in development (Keflavik, in Iceland, and Paris). The focus on the installation of data centers in European territory is clear, as these last two projects in full development demonstrate. Another great “European” unicorn. After the creation of its Data Center in Paris – which will presume to have N200 N200 chips – Nebius announced its intention to invest more than 1,000 million dollars in mid -2025 in its AI infrastructure in Europe. Its new data centers in Paris and Iceland demonstrate that vocation, and the company is managing to capitalize on that commitment to AI. It is undoubtedly one of the last protagonists of the European technological scene, which little by little begins to raise alternatives. Freepik did it in Spainthey have done it Mistral and ASML with its unique agreement This week, and now Nebius does. Image | Nebius In Xataka | The ASML-Mistral alliance reveals the European plan B: if we cannot manufacture chips, we will at least control how they are manufactured

When you are openai and you can’t buy enough GPU, the solution is obvious: manufacture yours

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Openai will create its own artificial intelligence chips. It is a crucial decision for the future of your business, but the ally you have chosen to do it: Broadcom. When the river sounds. The runrún has been listening Since the beginning of 2024. Nvidia, owner and lady of the segment of the AI ​​accelerators, was an ally too powerful for OpenAi. The solution was clear: develop its own chips with which to minimize that dependence. Broadcom takes chest. Hock Tan, Broadcom CEO, yesterday told investors that the company had closed an agreement with a mysterious client that would invest 10,000 million dollars in AI chips. Although Broadcom did not reveal the client’s name, sources close to those agreements indicated In Financial Times that this client is none other than OpenAi. Neither Broadcom nor this last company have confirmed the data. Xpus to power. Those chips, to those who referred as Xpus, are a kind of specialized and personalized variant of the NVIDIA or AMD accelerators. We have the perfect example in the TPUS (Tensioner Processor Units) that Google presented almost a decade ago And that has been improving generation after generation (we are already going for the seventh generation, called Ironwood). Broadcom, by the way, has collaborated in the development of these Google chips, so it has overdue experience in that area. Own chips for internal use. According to sources close to this collaboration, Openai aims to use these internal AI chips, and there are no plans to offer them to external clients. That reinforces the theory that Openai wants to create data centers with these own chips to avoid (or at least mitigate) the dependence of Nvidia. Nvidia will have (a lot) competition. Nvidia dominates Iron fist This segment, but has long for the rivals – both in the West as in the East – work to make their monopoly in this sector disappear. Microsoft He has MaiaAmazon His trainiumGoogle its aforementioned TPU and AMD of course Your instinct. To goal It is about it. But Cuda remains the “Moat” of Nvidia. Of course the true key to Nvidia overwhelming success is not so much in its chips and in the fact that its architecture CUDA is de facto standard In this market and all AI systems developers usually base their projects on that platform. It is the “Moat” of Nvidia, that “pit” that allows you to protect its “castle” from the rivals and continue dominating the market. And here there are also attempts to avoid the dependence of the company, and among them Those from China stand out. And TSMC, what? The funny thing is that for months it seemed that The ally that Openai had sought To carry out this project was the most important semiconductor manufacturer in the world, TSMC. Earl this year that collaboration It seemed to go on the right track and several sources pointed out that we would have the first OpenAI GPUS for 2026. It may simply have chosen to have a plan B (TSMC) to avoid its dependence on NVIDIA, but also prepare a C (Broadcom) plan. Image | Qualcomm In Xataka | China’s self -sufficiency test in chips for AI is already here: it has not bought Nvidia or a single H20 GPU in the last quarter

The suicide of a teenager unleashed a crisis in Openai. We already have the first measures that will arrive in Chatgpt

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The chatbots of AIs are in the spotlight for their possible risks on mental health, especially chatgpt. We recently deepened this problem following the accusations that Chatgpt was the culprit of causing delusions and even the suicide of a teenager In the United States. Although we already saw that reality is much more complex that a simple “the fault is AI”, OpenAi has responded to the wave of criticism and already has A package of measures that will integrate into chatgpt To avoid more similar cases. OpenAI’s plan. In response to the controversy after the case of Adam Raine, Openai has detailed the measures that will reach Chatgpt, which will focus on facilitating access to emergency services, contacting trustworthy people and reinforcing protection measures focused on adolescents. The company puts a period of 120 days to integrate these novelties, although it warns that some will take a little more than others. Reasoning models. GPT-5 Choose the best model automatically depending on the needs. One of the solutions proposed by Openai for conversations that take a worrying address is to automatically direct them to their reasoning model, regardless of the user selected. Parental control. It will arrive next month and the minimum age to use will be 13 years. Parents can link their children’s account to their own and can deactivate functions such as chat memory and history. In addition, they will receive a notification if it detects that their son “is in a moment of acute anguish.” Collaboration with experts. OpenAI ensures that all these improvements will be implemented under the supervision of mental health experts. For some time they have an artificial welfare and intelligence experts that has been expanded with experts in addictions, eating disorders and adolescent health. The demand. It is not the first case in which Chatgpt is placed as responsible for a mental health crisis, but one of the most popular. Adam Raine’s parents They sued Openai after their son’s suicideclaiming that Chatgpt validated his “most harmful and self -descetive thoughts.” In some of his conversations he came to discuss details of how to make the knot in the rope with which he planned to commit suicide. Weak safeguards. In his Fake Friend reportthe ‘Center for the Fight against Digital Hate’ has already verified that the safeguards of chatbots are very fragile and the case of Adam Raine corroborates it. Chatgpt detected several times that there was a risk of self -injuries and insisted to call the suicide prevention line, Adam managed to dodge these messages simply telling him that he was looking for information for a fiction story. The new parental control sounds like the first stronger measure against this problem. Image | Kaboomps, via Pexels In Xataka | In 2011 someone published in Reddit “A858”. Fourteen years and thousands of messages later, the mystery is still disound

Microsoft prefers its own 7 that a 10 of OpenAi. The 13,000 million invested in Openai have just gosses meaning

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Microsoft has launched Mai-1his first model of the fully developed at home. This In the 13th position of Lmarenabelow those of Anthropic, Depseek, Google and, of course, OpenAi. It is not the best model and is not even close, but that could be exactly what Satya Nadella had in mind. Why is it important. Technological do not need absolute excellence to master markets. They need control, integration and margins. Microsoft has understood it since the time of MS-DOS: it is better to have a sufficiently good product than to depend on the excellence of others. Windows was never the best operating system. Internet Explorer was not the best browser. Excel is the best, but it took years to overcome Lotus 1-2-3. All, in any case, ended up dominating their markets because Microsoft controlled development, distribution and, above all, integration with the rest of their ecosystem. The money trail. The 13,000 million that Microsoft has invested in Openai They begin to seem less one bet and more a university enrollment. Microsoft has paid for: Early access to GPT technology while building its own infrastructure. Time to learn what works in the pressure of being pioneers. Instant credibility of offering “the best model” through COPILOT. A perfect excuse to build large gpus clusters that now uses for Mai-1. Suleyman has made it clear: they have trained Mai-1 with 15,000 gpus H100 (Grok uses 100,000, to compare) and have a new generation GB200 cluster operational. This infrastructure was not built to run OpenAi models. It was built for this. The current situation. Mai-1 does not compete in gross abilities. But it has advantages that Openai can never offer: Microsoft completely controls development. They can optimize it specifically for Windows, Office and Azure without asking anyone permission. They can adjust costs, latency and capabilities according to their exact needs. The voice is important. Mai-Voice-1 generates a minute of audio in less than a second with a single GPU. They do not need to be the best in text processing if they dominate The interface they believe of the future: The voice. Yes, but. A model in the 13th position remains a model in the 13th position. Business users who pay thousands of dollars for co -pilot surely expect the best, not “good enough.” Microsoft knows it and that’s why they are not replacing GPT-5 immediately. Mai-1 is gradually introduced in “specific use cases” while improving. This is its 1.0 version. GPT-5 is the fifth great iteration of OpenAI. They have room to grow. The decisive moment. The true test will come when Microsoft has to choose: renew the agreement with OpenAi or bet on their own models? With Mai-1, Microsoft has shown that it has a viable alternative. It does not need to be better than GPT-4. You just need to be good enough for the 250,000 million annual revenues of Microsoft not depending on Sam Altman’s whims. In a negotiation, the best position is to be able to get up from the table. Microsoft has just bought the chair. In Xataka | China’s self -sufficiency test in chips for AI is already here: it has not bought Nvidia or a single H20 GPU in the last quarter Outstanding image | Microsoft

Microsoft opted everything to OpenAi to win the AI ​​race. Start realizing your mistake

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In April 2019, a small group of Openai engineers flew to Seattle to make a demo of a GPT-2 Supervitaminated Version A Bill Gates. Microsoft’s co -founder was impressed, and made clear his intention to invest in the company led by an almost absolutely unknown Sam Altman. In Redmond, Gates’ opinion took into account, and shortly after the events precipitated. The company’s cto, Kevin Scott, wrote an email Shortly after, in June, Nadella already Gates to warn of the danger of being behind. He was “very, very worried.” Nadella agreed. A month later, on July 22, 2019, Microsoft advertisement a Investment of 1,000 million dollars In OpenAi. That seemed love at first glance. That money promoted Openai’s efforts, which continued to develop its models and that in August 2020 launched an amazing GPT-3 But without opening it to the general public. Two years later, the bombing: OpenAi announced chatgpt without knowing that this would detonate the current AI fever. This divorce can be very expensive to Microsoft The initial impact was amazing, and Chatgpt became On the fastest platform he had grown up in history of the Internet. In two months he had already attracted 100 million users, and Microsoft, wanting to take another step in that idyllic relationship with Openai, redoubled its commitment to the company. Or multiplied it, because in January 2023 advertisement a multimillionaire investment that is estimated – although the figure was never detailed— at 10,000 million dollars. That investment It seemed to be perfect For both companies. Among other things, Openai obtained access to Microsoft’s cloud infrastructure to train their models and offer them to the general public (inference). Meanwhile, Microsoft gained priority access to OpenAi models, which it could sell as if they were his. That is just what they did, first with GPT-3 as a Github Copilot baseand then Freaking of other “co -drivers” that were nothing more than a chatgpt rehash. And there began the problems for Microsoft. Above all, because little by little that theoretically idyllic relationship He began teaching his seams. The convenience marriage was no longer so satisfactory for both parties. On the one hand, Openai kept asking for more and more money and better conditions when using the Microsoft computing cloud. On the other, Microsoft, OPENAI’s totally slave For his AI options, he began to look for alternatives. Both decided to look for alternative plans. Openai searched Change girlfriend and of Alliesand After the rumors In April 2025 he announced the greatest financing round in history, which amounted to 40,000 million dollars. For his part, in Microsoft, knowing their Openai absolute dependencethey began to move in March 2024, when they created their own division of AI and put in front of it To Mustafa Suleymanco -founder of Inflection AI and before Deepmind. The objective: to develop their own foundational models to avoid being chained to OpenAI. How was the thing? For now, OpenAi very well. To Microsoft, not so much. The company led by Sam Altman has not stopped growing in users and In income. At the moment they are still insufficient to make it profitable, but there is a clear thing: Nowadays Chatgpt is what Google went to searches. There are options, yes, but for the vast majority of users, (almost) do not count. I may launch of GPT-5 has been disappointingbut still Altman’s strategy to sell promises and Hype -with the Stargate megaproject in front – it works. But for Nadella and yours are much more complicated. Despite Copilot’s absolute integration in all business areas, Microsoft is almost an “coupled” in the world of AI. A pay. Your own modelsPhi-3 and Phi-4 are interesting for their “Edge AI” (artificial intelligence that runs at home, as in our mobiles), but their performance and capacity has made them almost a laboratory experiment. The gigantic infrastructure of Azure is his great asset to make them indirect leaders of AI, but Suleyman’s leadership It is committed to the simple reason that the results of the Microsoft strategy are not especially visible. It doesn’t matter if Microsoft has a powerful Trojan horse in Windows to infiltrate AI solutions in the company: who are winning that battle They are Anthropic and, of course, OpenAi. Meanwhile, Suleyman himself published on his blog An article warning of the dangers of treating AI as a person and ensuring that we are close to seeing a “apparently conscious” that can aggravate that problem. It is a valid and important argument, but it leaves Microsoft just like it was: without its own models and without changes in a strategy of doubtful success. In spite of everything, Microsoft also has its badges For Microsoft the only consolation is that its gigantic investment in OpenAi gives you the right to participate in the benefits of that company. In fact, the tense current relationship between the two adds to Openai’s intentions of becoming a profit company. That has implications for the future of the relationship, and In The Information indicated that Altman has proposed yield to Microsoft 33% of the company But renouncing future benefits. Participation is enormous and very juicy for Redmond’s, especially now that Openai is valued in 300,000 million dollarsbut there is much more at stake. In fact, in that potential divorce the one that seems to be winning is Openai, which has some of the best foundational and popular models in the world (GPT-4O, GPT-5), and who is the beautiful girl in the market: everyone wants to stick to it. Meanwhile, Microsoft is staying absolutely behind in the market, at least compared to its rivals. Let’s see: Google: It has invested a lot and well in own models (Gemini, Deepmind) and has a gigantic infrastructure, software and data. Not to mention Android and his search engine, AI entrance door for billions of users. XAI: Although less remarkable, the startup created by Elon Musk has managed to stand up with a Grok with a very different approach –zero censorship– which has managed to integrate with some … Read more

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