Microsoft reinforces Copilot. The problem is that he does it with options traced to those of his competitors

Microsoft He turns 50 today Since its creation, and to celebrate it, it presents a new niche of characteristics for its artificial intelligence platform. Copilot is reinforced With interesting options, but the problem is not that: none is essentially differential. In fact, all of them have been available for some time in the AI ​​models of their competitors. Here it shows for example how Microsoft continues to adapt options of the AI ​​model of its main partner, OpenAi. Mustafa Suleymanhead of the AI ​​division in Microsoft, explained in the statement the objective with this announcement. He remembered how Bill Gates’ ambition when creating Microsoft was to put a PC in each home. That of this Microsoft today is to create “an AI partner for everyone.” And that tries Copilot, which as we say has been updated with new functions that try to make this chatbot more versatile than ever. The novelties are the following: COPILOT ACTIONS: Here Microsoft’s AI acts as an AI agent capable of performing actions autonomously. In the example shown searches and filled forms to find a storage or reserve a restaurant. Once again it remains to be seen how far this type of octive can go, which, As Operator demonstratedit is one of the great market trends. COPILOT PAGES: Through this option the user can collaborate with Copilot in real time, talking with him to edit answers adding files and context. The proposal is identical to the characteristic Canvas of chatgpt. Deep Research: In Microsoft they also offer – as for weeks– This mode of functioning that allows much more detailed analysis of our requests to search on the Internet, analyze data and start from showing a more “meditated” and theoretically more precise and detailed response. COPILOT VISION: This option is especially striking Artificial vision that allows Co -ilot to “see your screen” and help you complete tasks that you don’t know how to do in it. It also indicates on the screen what you have to do, something especially useful. Copilot Memory: If you give your permission, Copilot will remember your interaction with the model to be more useful and be more adjusted to your preferences over time. In this way, when using this information, for example for travel or restaurants recommendations. Copilot Search: As they already did Perplexity (In January 2023!) And also Chatgpt Search, now Copilot also gives access to a search engine that is also based totally on references and sources that is quoting in the answers. Copilot Podcasts: This chatbot is now capable of generating podcasts with voices synthesized with Ia. The idea is basically the same with which Notebooklm conquered us A few months ago. Copilot Shopping: A reinvention of aid for products searches, offers alerts and AI -based price analysis. Another segment in which there is also and there will be fierce competition, but that of course provides another useful option for the Copilot ecosystem. As we said, many of those options have been launched by OpenAI in recent weeks and it is natural that they end up arriving in Co -cilot given the alliance between both companies. In other cases what it does is offer characteristics that we had already seen for example in Google or Anthropic models. The advance is to thank and strengthens Microsoft’s proposal, but here the feeling is that the company will rely instead of leading this segment. That does not mean that Microsoft does not have plan B. They have been working on their own AI models for many months –Phi-4, which we tried in Xatakait is a good example – this is already sure It is more a “update” of its offer of services of AI than anything else. There are no revolutions here, but an expected evolution and that at least allows Microsoft to continue to be in that fight. In Xataka | “Google gives you links, perplexity gives you answers”: we talk to the CEO of the startup that wants to kill the father

NVIDIA’s story is that of a survivor when all its competitors disappeared or were bought

In 1998 NVIDIA was on the verge of go bankrupt. The rivalry that graphics chip manufacturers sustained during the 90s of the last century and the first decade of the current one killed many of them. In fact, as Tae Kim explains to us in the highly recommended essay book ‘The NVIDIA Way’only the company led by Jensen Huang survived in a saturated industry that still suffered from obvious immaturity. During the second half of the 1990s, between 80 and 100 companies competed in the PC graphics market, as Kim confirms in his work. Some of them were well known to users, such as Matrox, 3dfx Interactive, S3 Graphics, ATI Technologies, Hercules, Cirrus Logic, Intel, Trident, Number Nine Visual Technology or Rendition, while others were fighting to make their way in a market whose size It was at that time much smaller than today. Tae Kim argues that only NVIDIA has survived for one reason: it is the only company of all those I have mentioned so far in this article that remains as it was at that time. Most of them no longer exist, and those that remain have either been bought by other companies, such as ATI Technologies, or have had an unstable presence in the PC graphics hardware market and have made a living from other businesses, such as Intel. Jensen Huang is where he is thanks to his perseverance and intuition In his book Tae Kim assures that NVIDIA has overcome the critical moments it has faced thanks to Jensen Huang. Many of the decisions this executive has made during his career have been guided by ‘The innovators’ dilemma’one of his favorite books. Its author, American university professor Clayton M. Christensen, maintains that not dedicating the resources necessary for innovation It leaves the way free to do so for other companies that can afford to risk and bet everything on innovation with the purpose of consolidating themselves in the market. Jensen Huang has always been attentive to both talent coming from universities and strengthening his competitors. Christensen’s teachings have inspired Jensen Huang and helped him define NVIDIA’s business strategy, but, according to Kim, the company is still competing today thanks to two qualities of Huang: his perseverance and his intuition. In 1998, TSMC, which already then manufactured NVIDIA chipsran into a production problem. The latter company was running out of money, but Jensen Huang reacted and convinced three of the PC graphics card manufacturers he worked with. “Our technology is good. We will give you a 10% discount on the IPO when we go public. You just have to give us some money now,” Huang promised them. And it worked. His conviction and firm belief in the potential of his products got NVIDIA out of the quagmire, but the recipe for his success has other ingredients that we cannot ignore: his intuition and his good eye when it comes to recruiting talent. Huang has always been attentive to both talent coming from universities and strengthening his competitors. The signing of Dwight Diercks proves it. Jensen Huang followed Scott Sellers closely before he co-founded 3dfx Interactive. When the latter company went bankrupt in 2000 and was bought by NVIDIA, Huang questioned Sellers: “Which engineers are really good among all those who have been part of your team? Who are the stars?“Sellers did not hesitate to praise Dwight Diercks. And he ended up at NVIDIA. Jensen Huang is the alma mater of his company, but it is clear that he is fully aware of how essential the people he works with are. The Nvidia Way: Jensen Huang and the Making of a Tech Giant (English Edition) *Some prices may have changed since the last review Image | NVIDIA Bibliography | ‘The NVIDIA Way’by Tae Kim In Xataka | We can forget about AI without hallucinations for now. NVIDIA CEO explains why

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