now generate Excel files, PDFs and much more directly

Generative artificial intelligence has changed many things, but it has not eliminated a very everyday scene: asking the chatbot for something, receiving a useful response and ending up taking it by hand to another document. A proposal that ends up in Word, a table that ends up in Excel, some ideas that someone later converts into slides or a summary that must be left clean to send. That middle layer is still time-consuming, even if it seems small. Google just pointed right there with Gemini: less copy and paste, and more converting a request into a file that we can use directly. The novelty. The update announced by Google seeks to put that idea into practice within the Gemini application itself. According to the company, The assistant can now create PDFs, Microsoft Word documents, Excel spreadsheets, Google Docs, Sheets and Slides files, and other formats directly from the chat with a simple request. Sundar Pichai pointed out in a publication that the function is now available to all users of the Gemini app globally. More formats. The complete list helps to understand the scope of the function, but the underlying idea is simpler: Gemini is not locked into the Google ecosystem. The company includes Workspace files, Microsoft Office formats and options such as CSV, TXT, RTF, Markdown or LaTeX, more common in data, documentation or structured content tasks. This allows the assistant to fit better into very different routines. The key is that Gemini can not only receive an order, but also context. For example, we could upload several notes to the chatbot and ask for a study guide in PDF, with structure, visual elements and equations if we want a more complete result. That’s the kind of scenario where novelty gains meaning. A scenario where we can also work with our own materials and with tailored instructions to obtain a specific output. Time to create (and review). We are facing a function that promises, especially because it attacks one of those small wastes of time that are repeated every day without us paying too much attention to them. Now, just because Gemini can create a file doesn’t mean that file will be ready to send, publish, or present without looking at it calmly. As with any AI-generated output, we should spend time reviewing the data, including tone, structure, and format. Images | Google In Xataka | The “freemium” model of AI is dying: GitHub Copilot and Claude are putting more and more fees and costs

Paying more for a very fast NVMe SSD is wasting money if you only save PDFs, but it is the only option if you are also going to work from it

Like me, you have probably also at some point faced the purchase of a new storage unit, internal or external, for your desktop PC or portable. Something that, until a few years ago, was quite simplified: either you chose a 5,400 rpm HDD (revolutions per minute), or you chose one of 7,200 rpm. End of story. To something else. But since SSDs came onto the scene, purchasing (and usage) possibilities have changed a lot, making opting for one type or another is not so simple. Today, taking into account the price differences between HDDs (the “old” mechanical disks) and SSDs (the “modern” solid state drives), the choice is clear: SSDs win by a landslide, offering wide capacities and much, much higher speeds. Although well, the current context of AI surcharges It changes the film a little and, whatever purchase we make now, it will entail a greater outlay. But this shouldn’t last forever and, under normal conditions, SSDs are still the best value for money purchase option for general use. The price could vary. We earn commission from these links So, well, you already have one thing clear: to expand capacity, in general terms, the ideal in 2026 is to go for an SSD. However, the choice is not so simple because different technologies and different models come into the field of SSDs, each with a series of advantages and disadvantages. All of them, valid for any use you plan to give them, be careful. But not all of them cost the same and, depending on what you need your new unit for, Smart purchasing will tip the balance on one side or the other. And your pocket, of course, will thank you for choosing carefully. In other words and to give them first and last names: in a scenario in which you need more space for your PC or portable and you have to go through the checkout to expand it using an SSD, you will have to choose between an NVMe SSD or a SATA SSD (which are the main types of SSD that are generally sold). The first, more expensive and faster. The second, cheaper and slower. AND each one, in its proper context, shines with its own light. Next we are going to see how they differ and why they are a better purchase option compared to their rival, depending on the context. And thus pay more if the situation requires it or save as much as possible if you are not going to take advantage of its full potential. SATA SSD: not as fast but cheaper When SSDs burst onto the scene, they did so in a format we know as SATA. In units of different sizes (although also ostensibly more compact than mechanical HDDs) that are still commonly marketed in 2.5-inch models. If you have a laptop or desktop PC from a couple of decades ago, probably contains one of these. These SSD units were, at the time, night and day compared to mechanical HDDs. What used to take you half an hour to wait was suddenly completed in minutes. And also, without noise. The “problem” is that today, with much more modern and faster units (spoiler: NVMe), this type of SSD have been relegated more to pure storage than as devices for daily work. That is to say: what we once stored on HDDs, we now do on these SSDs. A digital storage room that, in any case, is much faster and makes it easier (and faster) to move large amounts of data and copy and paste files. In addition, the SATA SSD is probably the only option when it comes to somewhat “old” laptops: today, practically all models come with an M.2 connector (where the NVMe are installed), but if you have a laptop that is a few years old (around 2018 or earlier) it will probably not have said connector and the 2.5-inch SATA SSD is the one you will have to use. If you are also using a mechanical HDD, the change will be spectacular. Does this mean they are a bad choice? Not at all, they’re still great in 2026… but especially for what I’m doing: storing. Because if what you need is a “hard drive” on which to install the operating system, applications and games, or on which work intensively on tasks that require constant writing and reading of data (such as video editing), then you will be limited. This leads us to the next model: NVMe SSD. NVMe SSDs: faster and more expensive While SATA SSDs are somewhat larger and slower (but cheaper), NVMe SSDs are a rocket. The quickest and most direct way to describe them is: speed, speed, speed. While the former would become a one-lane national highway, the latter become a highway with eight lanes in each direction. This means that if a sporadic car (some file, such as PDFs) is going to pass through these “roads”, SATA is enough for you; If you need several heavy trucks moving at the same time (video editing, for example, with thousands of MB of data moving at full speed) then That national highway will collapse and there is no choice but to drive on the highway.. NVMe SSDs also stand out in design: they are compact, stylish and very small. The inseparable companion of any current desktop or laptop PCbut also in video game consoles by offering better performance in all types of tasks and taking up less space (something vital, for example, in the case of consoles). In fact, this is the type of SSD that the PlayStation 5, the Steam Deck… come with in the M.2 connectors that they incorporate. Connector that, by the way, has been present on practically any desktop or laptop motherboard for a few years now. This type of SSD is more expensive than its SATA relatives, but that extra financial effort is worth it if, in addition to storing data as such, you plan to work on them. … Read more

AI solves equations and chops code, but continues to crash with PDFs: the explanation shows its limits

It’s probably happened to you. You upload a PDF to an artificial intelligence chatbot in the hope that it will summarize a report, extract a table or find a specific piece of information for you in a matter of seconds. And, sometimes, he succeeds. But other times, the result is disconcerting: mixed columns, footnotes embedded in the middle of the text, tables converted into an illegible block or answers that do not faithfully reflect what the document says. The paradox is evident. Systems that already demonstrate clear advances in mathematics and programming They keep stumbling upon something as everyday as a PDF. And there is more than a simple punctual failure. Change of mentality. Although for us it is a document with well-defined paragraphs, titles and tables, for the system that processes it the situation may be very different. PDF is, first and foremost, a way to visually describe how a page should be rendered. And when a chatbot like Gemini either ChatGPT If you try to work with it, you do not always access an ordered structure, but rather a set of graphical instructions that you must first reconstruct before you can respond coherently. And that difference is better understood when we look at how a PDF “saves” information. How you actually organize information. Unlike a web page, where the content follows a logical order defined in the code, a PDF can store text as independent fragments placed at specific positions on the page. Many times, the file retains coordinates and placement instructions, but not necessarily explicit relationships between one sentence and the next. This implies that the order in which the text “appears” when extracted does not always coincide with the order in which we read it. If your document includes multiple columns, tables, or overlapping elements, the system must figure out how they fit together. And that deduction is not always trivial. {“videoId”:”x9hhg44″,”autoplay”:false,”title”:”The TRUTH of AI – This is how ChatGPT 4, DALL-E or MIDJOURNEY works 🤖 🧠 ARTIFICIAL INTELLIGENCE”, “tag”:”webedia-prod”, “duration”:”1173″} What happens with HTML. On a web page, the content is organized in an explicit hierarchy– There are tags that indicate what a title is, what a paragraph is, what a table is, and how those elements relate to each other. This structure is part of the file itself and makes it easier for other systems to read, index and process it. In a PDF, as we have seen, that semantic layer may not exist or be clearly defined. Therefore, in practice, extracting information from a website tends to be a more predictable process, while doing it from a PDF is more complicated. So what about OCR? It is the first solution that comes to mind. If the problem is that the text is not well structured or even “drawn” like an image, optical character recognition should convert it into something machine readable. And in part it does. OCR has been used for decades to transform images of words into text, but converting an image to text is not the same as reconstructing the logic of the document. When there are varied elements, the system can recognize each word without knowing exactly how they fit together. The result is not a failure in reading characters, but in the organization of information. In Xataka Dario Amodei founded Anthropic because OpenAI didn’t take the risks of AI seriously. Now you are going to give in to those risks Why don’t we abandon PDF? The answer is more pragmatic than technological. As reported by The Verge citing the person responsible for the PDF Associationthe format became established precisely because it allows a document to look the same today as it would in ten or twenty years, regardless of the device or software with which it is opened. A web page can change depending on the browser, an editable sheet can be modified or overwritten, but a PDF maintains its appearance and visual integrity. That stability is precisely what lawyers, engineers, public administrations and any organization that must maintain reliable records need. The challenge is not to replace the format, but to learn to interpret it better. Images | Xataka with Nano Bana In Xataka | Three AIs clashed in ‘War Games’. 95% of them resorted to nuclear weapons and none ever surrendered (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news AI solves equations and chops code, but continues to crash with PDFs: the explanation shows its limits was originally published in Xataka by Javier Marquez .

In 2010, a student from Barcelona was looking for an easy way to edit PDFs. 16 years later, it is one of the most viewed websites on the internet

From a form to a receipt to an invoice: PDF is the quintessential extension for sharing documents, regardless of whether you do it from a Windows computer to an iPhone or an Android tablet. It doesn’t matter: you’re going to see the original format no matter what. But, oh my friend, if you have to get your hands on a PDF. Marco Grossi also found himself in trouble with a PDF. One, who is already in her years, had to make a living to avoid paying for the Adobe Acrobat license (in the past it was not a subscription and the price was not exactly cheap) to edit a PDF for a cent by the wind: from printing and scanning to wasting time reconstructing with a word processor. In that first decade of the 2000s I was a student who struggled with documents and Marco Grossi, too. Back in 2010, this Barcelonan, who has studied Multimedia and Photography and also programming, found himself faced with a task as mundane as having to copy and paste a PDF: it was not an easy task. How does it count himself for La Vanguardia“I’m a programmer, and I’m good at computer issues, so it took me about 15 minutes to figure it out.” And then came iLovePDF. As the founder and CEO confesses for El Paísat that moment he discovered that there was a need: “I realized that it was very simple and that I could create it myself.” It was not the first (the ancient but reliable PDFSam It had an interface that was backwards), but it was the one that managed to establish itself as the software to manage PDF for normal and ordinary users (although also for companies reluctant to pay, because it solves the basics quickly and well). A meteoric rise. What started as a personal project that he combined with freelance web design, in 2014 became his 100% occupation. Until 2017 he worked alone from home, but at that moment he took a step forward: He rented an office and hired an old college classmate. Now there are 43 people. At that time, his website was already receiving between 200,000 and 300,000 daily visits from organic traffic. In 2025 Grossi counted which were around 150 million unique users per month. The portal ahrefs listed it in 2024 in 34th place on a global scale, above Amazon in India and just below Wikipedia in Russia. Screenshot of iLovePDF from 2018. via Archive.today Good, nice and cheap free. Your philosophy From the beginning it has been to be a free, accessible, high-quality and easy-to-use service. A quick visit to their website gives us a mosaic with icons and clear messages “Join PDFs”, “Split PDFs” and an agile and intuitive step by step to obtain documents with good quality, without limitations or watermarks. We are using iLovePDF in Spanish, but the website is translated into 25 languages ​​so that language is not an obstacle. In 2018 (the oldest capture saved on Archive.today) also. They also do not market with the data: Marco Grossi details that as a European firm they are governed by the GDPR and that all PDFs are deleted within two hours, without anyone being able to access them. In addition, he explains that they have ISO 27001 certification. In the beginning they financed themselves by advertising, but according to their CEO that is very risky. How iLovePDF Makes Money. So since 2014, in addition to the free options, they offer subscription services, so that advertising generates residual income. They are a small company, but they provide service to those people who visit their website, which we have already seen are many. That is why the Barcelona native explains that “we only need a very small percentage of users who pay to finance us.” 80 – 90% of your income they come precisely from its premium subscriptions, aimed at companies. The rest comes from an advertising banner that, my servant who has been using the service for so many years that she does not remember, nor did she remember it. The cost of being premium It is 5 euros per month and access to extras such as digital signatures or getting rid of ads, but it is totally dispensable: its founder details that the free version is enough for 99.9% of those who use us. They are not for sale. Marco Grossi is not a wolf of Wall Street: he himself admits that he never had an entrepreneurial spirit and that he does not open purchase proposals, something similar to the VLC project and that has turned both platforms into memes of saints or heroes on social networks like X/Twitter. Being a self-financed company allows Marco and his team to maintain their philosophy and reject offers. Although its history is meteoric considering its 15 years of life, the CEO speaks of sustained business growth and that they will never hire 200 people in a year to have to close. Their staff turnover is very low, but solid: they want to replicate their model with their counterpart for images, iLoveIMG. In Xataka | In 1990, a company in Barcelona came up with a crazy and visionary idea: talking on your cell phone while you’re stuck in traffic. In Xataka | In 1901, a Spanish man had one of the ideas of the century: invent the remote control before television

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