What is and how does the Google application work to take photos with filters from old camera rolls?

Let’s explain to you what it is and how to use Snapseed Camerathe new camera application created by Google. This is a Snapseed feature that has so far reached the iPhone first, and it remains to be seen how long it will take to also reach Android. We are going to start the article by explaining what exactly this application is, or rather this function within an application. Then, we will tell you step by step how you can use it to give your photos a touch of personality. What is Snapseed Snapseed is an application created by Google to edit your photos and to be able to improve them. It is one of the oldest applications there is for this function, to edit all aspects of the photo such as brightness, contrast, saturation, etc., and also to crop it. One of the features that has always made Snapseed popular is that it is designed for one-handed use, with all settings being accessible and very easy to use with just your thumb. But of course, we live in times in which the processing of photos in the camera applications of any mobile phone already improves them automatically, so this type of applications has had to innovate. First, Snapseed has introduced a feature to enhance photos with AI without having to do anything. The app is simply responsible for making all the settings. And then, Snapseed Camera has also arrived. What is Snapseed Camera Snapseed Camera a feature within Snapseed. Specifically, it is a function for take photos directly with the appso it tries to be an alternative to the camera application on your mobile. The main feature of this camera is that it has preset filters to take the photo with them. You choose a filter, you see the result in a real image, and you decide to take the photo with them. But Snapseed Camera goes beyond that, because offers vintage camera filtersthose old photo reels. It also has some presets with preset settings, and allows you to make changes to textures and other types of adjustments before taking the photo, as if it were a professional camera. How to use Snapseed Camera To use Snapseed Camera, you have to enter the Snapseed app. In it, At the top right you have a camera iconand when you click on it you will go to Snapseed Camera with its options for taking photos. Now you will go to a screen where you simply have to slide to the sides to explore the filters of different movies that you have available. Every time you select a new one you will see the changes on the screen. And that’s it. Once you have selected the filter, you just have to take the photo and it will be added to the application gallery. You can also activate a pro mode to make changes to zoom and other aspects. In Xataka Basics | ChatGPT Images: what it is and how to use it to create images with artificial intelligence from your photos

AI agents have indeed changed work and the economy forever. But for now only in one sector: programming

AI agents are beginning to demonstrate their capabilities, but the only area in which they do so is programming. An Anthropic report reveals how software engineering is where half of the activity of AI agents is currently concentrated, and that proves two things. The first, that AI can effectively enhance work. The second, that there is a huge opportunity for hundreds of verticals where AI has barely landed. what has happened. If there is a sector that has embraced AI and AI agents, it is programming. Platforms like Cursor or WindSurf first and like Claude Code, OpenAI Codex or Antigravity today have made all kinds of people —whether they know programming or not— can turn their projects into reality in a really simple way. It’s a clear case of how AI can contribute to a field, but there’s a problem: it’s practically the only case where it has actually done so. Distribution of requests to AI tools by segment. Software engineering is almost responsible for 50% of those calls or requests, at least in the case of the Claude platform. Source: Anthropic. Verticals with a lot of margin. As can be seen in this graph, the presence of AI agents is very reduced or practically non-existent in a large number of verticals in which it is evident that there is a notable opportunity to take advantage of these tools. The automation of office tasks is the second main protagonist with 9.1% of the function calls of the Anthropic AI model in this report. Below it we find segments such as marketing, sales, finance, business analysis or scientific research. And others who are ignoring AI. There are quite a few sectors in which AI agents seem to be barely present. The travel, legal, medical, e-commerce or education segments seem perfect to start taking advantage of these tools, but at the moment this is not the case and this presence is very, very small in all of them. Claude Code can work longer and longer. Double what it was three months ago, in fact. Source: Anthropic. Models can now work autonomously for a long time. In these scenarios it is true that the models used to be limited by the time they could function autonomously and “chain” actions and self-analyze progress to continue acting. That’s not so true now. Claude Code, for example, has doubled the time of his longest sessions in just three months: from 25 minutes in October 2025 to 45 minutes in January 2026. And they need less human intervention. Another of the revealing data of the study is that the evolution of these agents not only means that they can function autonomously for longer periods of time, but that this also implies fewer human interventions. Those situations in which an agent “needs human help” to continue with the process are becoming limited. In August 2025, the average was 5.4 human interventions per session. In December that average dropped to 3.3 interventions. We trust more and more in AI. At Anthropic they have also noticed a unique behavior among users: they are increasingly trusting AI agents. In programming, novices approve each new step before it is executed, but veterans delegate and intervene when something goes wrong: they have gone from pre-approving everything to exercising active and constant monitoring. As they say at Anthropic“Users develop confidence as they work with the model, and change their monitoring strategy based on that growing confidence.” From programming to other fields. What has happened with programming could happen in other scenarios. The challenge is to build AI agents that adapt to each segment using that specific data from said vertical. If an AI wants to help in the legal segment, it must be specifically trained for that segment. What the AI ​​did when trained with thousands of code repositories on GitHub It was learning and improving. Well, the same can be applied to other verticals, although the challenge is certainly notable because programming was a perfect segment for the application of AI: it is very deterministic. It either works or it doesn’t, and whether it does or not, execution logs allow you to fine-tune that operation. The new unicorns await. As entrepreneur Garry Tan points out in your newsletterin the last two decades SaaS platforms have managed to capture 40% of venture capital investments and that industry has more than 170 unicorns. “The thesis is simple,” Tan concludes, “all of those unicorns have an equivalent in the form of vertical AI waiting.” Promises and realities. The AI ​​agent segment therefore promises many changes in a multitude of segments, but the reality is that today the practical success (there is no economic success at the moment) of AI is limited to the world of programming. Will we be able to transfer it to other segments? The opportunity is there, but it is one thing to say it, and quite another to do it… even if it is with AI. Image | Joshua Reddekopp In Xataka | Every time Facebook had a competitor, it bought it: it is exactly the same thing that OpenAI is doing

Many people believe that politics “doesn’t work.” For some the solution is to elect public officials by lottery

Beyond the fact that it can solve your life with a few million euros, the lottery – in lower case, as a general concept – offers some interesting characteristics. One of them, and not the least, is that, in its own way, it is incorruptible. If applied well, there is no human way to circumvent it. Chance plays its role and smiles at some or others in a totally random way, regardless of whether they have spent a fortune on your organization. Another is that, precisely for that reason, it is totally democratic. In the bass drum there is no ball with a greater chance of coming out than another. With such a cover letter, the question we could ask ourselves is: Would a democracy work based on draws, on randomness? Would it work a “lotocracy”? Neither the question nor the term are new. Not at all. What’s more, the Athenians – pioneers par excellence in democratic governments – considered something similar a couple of centuries before our era, when they used lots to elect some public positions. The same mechanism continued to work in certain cases and with conditions throughout history. A formula with history… and supporters We find it in cities of what is now Italy during the Middle Ages and also in the Renaissance; but it declined in the 17th century, with the representative systems. From a formula similar to the one we continue to use today to choose the presidents of the neighborhood communities, we moved to another that, at least on paper, aspires to choose the best for public positions. In a 21st century with the system riddled by corruption and clientelist networks, there are, however, those who advocate recovering the philosophy of “lotocracy.” In the academic sphere we find respected voices, such as that of the philosopher Alex Guerrero, the political scientist Helene Landemore or the historian David Van Reybrouck that invite, at least, to dwell on its virtues. Beyond the tribunes and atriums of the universities there are also movements, such as Sortition Foundationwho advocate a formula that wants to place the citizen in the center of political decision making. “By selecting representative groups of ordinary people by lottery and bringing them together in citizens’ assemblies we can break the stranglehold of career politicians on decisions and circumvent powerful vested interests,” Sortition advocatewith headquarters in the United Kingdom, Austria and the United States, before putting the finger on one of the great problems of modern democracies: the “disillusionment” and “distrust” that the political class arouses. You don’t have to go to the English-speaking world to find it. In Spain, the CIS places corruption, fraud and the behavior of public officials among the main concerns of citizens, even ahead of education or housing. 19th-century painting by Philipp Foltz depicting the Athenian politician Pericles before the Assembly. According to the Sortition registry, there are a good handful of initiatives verified by the OECD throughout the world that, in the style of open assembliesshare or have shared their philosophy of empowering neighbors. In Spain, several are identified, such as the participatory platform Madrid decideswhich was created with the aim of presenting proposals, achieving participatory accounts and voting in citizen consultations; G1000also located in the capital; either Besaya Citizen Jurywhich proposes ways to use European funds in the Besaya basin. Beyond the isolated initiatives that seek to reinforce the political weight of citizens, can a system recover, the lotocracythat –as collected by Leandro Omar El Eter— was conceived as “a form of government that promotes access to public office through lottery”? Pablo Simonpolitical scientist and editor of Politikonremembers that the formula of democracy by lottery has little new, but points out the advantages that could be brought by “exploring” a hybrid model, which combines its strengths with those of the current system, as in the irish constitutional conventionformed in 2012 to discuss proposals for amendments to the nation’s charter and which included, among other members, randomly selected people. There, in Ireland, the citizens’ assembly served, for example, to address complex problems, such as the legalization of abortion. The United Kingdom also verified its usefulness, with a forum of 108 people which, after weeks of debate, prepared a report with a battery of proposals to fight climate change. “I find it interesting to explore this system in combination. For example, the experience of the irish constitutional convention. In those cases the draw was hybridized with the representatives. If we created more forums or spaces with citizen raffles and they were allowed a part of the management, it wouldn’t seem bad to me. Just as we have participatory budgets or the ILPsthat a part of the budget could be managed by a committee chosen by citizens at random, but with technical support. I think we should explore these types of things because it would help people feel more connected to the institutions,” reflects Simón. The key, there is plenty, would be to find “a good design”: “Knowing how it would be done, with whom and what powers or powers would be given to that body chosen by lot. Always looking for combinations that allow correction, returning to a model in which this mechanism of direct citizen participation has a greater perception of accountability, of closeness.” Weaknesses and strengths The system in its purest form, of course, has its strengths and weaknesses. Among the first, the political scientist insists on its fully democratic character. “There is no electoral rule more radically democratic than the lottery and this is because basically it is assuming that everyone is competent to perform the functions of government,” he explains. What does it mean for that to be so? From the outset, it greatly complicates one of the great evils of the current system: clientelism, the networks of supporters that end up forming around those who hold political power. How to do it when someone who holds a position does so by chance and without guarantees that they will retain it? “It is a … Read more

What they are, what types there are and how the automated ones work with or without artificial intelligence

Let’s explain to you what is a workflow or work flowan increasingly popular type of automation. This is something that has been possible for some time with specialized tools, but they have taken a new step with the inclusion of artificial intelligence. These workflows allow you to create quite interesting and advanced automations. We have already taught you some, such as when you receive an email in Gmail the AI ​​processes it and You will receive a summary by Telegram so you don’t need to open or read the email. What is a workflow or work flow? A workflow is the term we use to define a structured sequence of steps, tasks, or processes programmed to achieve a specific objective. This process may have more or fewer steps depending on the goal you want to achieve. In essence, it is like a chain of tasks that you can configure. That is why it is a workflow, because to reach the objective you have to carry out one task after another in the order that you have configured, using the results of each of the steps for the next. The term workflow or workflow can be used in various contexts. In the business world it can be something as simple as a sequence of actions that employees perform, such as me requesting vacation days, the boss reviewing and approving them, and then human resources being notified to record it in the system. But at Xataka Basics we are going to talk to you about them especially in a context of software and tools for automate the completion of tasks through several steps. With them, you can increase productivity and reduce the time it takes to do various tasks, whether focusing on domestic actions or for the business world. There are several types of workflow There are several types of workflow, such as the sequential oneswhich are a chain in which the task is completed in each of the steps before jumping to the next. They are also the parallelsin which multiple tasks run at the same time and then converge to save time. You also have the workflows conditionalsin which there are certain rules. If one thing happens, then this task is performed, and if it does not happen or something else happens, it goes to different steps. And then there are automated workflows that are carried out using software, and that serve to reduce human errors and improve the speed at which tasks are completed. These They can use or not use artificial intelligence depending on the task you want to perform. These automated workflows are typically performed with digital tools, such as Zapier either Make.com. Depending on the volume of actions and complexity, you will then be able to use free accounts or you will have to pay a subscription to use them. How automated workflows work The tools to create automated workflows are like blank canvases on which you build the steps of your automation, although They also have template systems to help you with the processes and give you ideas of things you can do. You can use these linking the tool to the online services you want to usewhich can be anything from your email service to an artificial intelligence system to process information. When linking these services, depending on the tool, you will need to simply log in and grant access, or configure access using the API key of this service. It all depends on the goal you want to achieve and the steps you want to take or the method you want to use. When you are going to create a workflow Using these tools, the service you use will allow you to choose what you want to do at each step. Depending on the linked services, you can decide how to manage the information and what type of information to process. If you add an AI you can customize the prompt, and then decide what happens at the end of the chain. The first step of a workflow is a trigger or “trigger”, is the action that launches the process. This can be manual, you click on the launch button and it does the tasks, or automatic, such as receiving an email or a message with certain characteristics. And then from there you build each of the steps until you reach the end, where you can make decisions such as sending yourself an email with the result, linking a service like Google Drive so that the result generates or edits a text document or data sheet, or setting up a bot in apps like Telegram to send you a message. Be careful with privacy When you are going to use automated workflows You should be aware that you may put your privacy at risk. For example, if you add Gmail you must keep in mind that all the emails that the workflow uses will be obtained by the website or service you are using, so be careful about using sensitive content. Additionally, if you are using an AI to process content or Telegram to notify you, please note that messages and content are They will also be stored on the companies’ servers who manage them. This is the same thing that will happen to you with AI or with many private tools that you use, and I am not saying this to discourage you from using them, but so that you are aware of it when choosing whether or not you need a workflow for that task. In Xataka Basics | What is Claude Cowork, how it works, and what things you can do with this AI assistant on your computer

they want those who receive it to work to maintain it

The new minister president of land Saxony-Anhalt (equivalent to an autonomy in Spain), the social democrat Sven Schulze, has shaken the social debate in Germany with a controversial proposal: that the beneficiaries of the Bürgergeldthe German basic unemployment income, carry out community work for municipalities to “compensate” the aid and maintain the subsidy. The German right sees this as a way to reinforce the individual responsibility of those who receive the benefit, but experts warn of the legal and practical obstacles that would be involved in forcing beneficiaries to carry out this community work. Schulze’s idea. He newly elected Minister President of Saxony-Anhalt from the end of 2025 and member of the CDU (the German conservative party), launched his proposal in an interview with the diary Bild am Sonntag: that the people who receive the Bürgergeld (unemployment benefit), do useful tasks for their town councils and communities. “There are services that can be provided and that are justified by the money received. For example, volunteering in a community, raking leaves or removing snow in winter. Why can’t healthy people who are currently unemployed also do it?” declared the German politician. According what was published by Die ZeitSchulze is so convinced of his idea that he plans to test it first in his region of eastern Germany, criticizing the federal government’s bureaucratic excuses for not imposing it generally. He Bürgergeld and jobs at one euro. He Bürgergeld (literally, citizen money) is the basic economic aid that Germany has been giving since 2023 to those who have already exhausted their unemployment benefits and they have no income sufficient, replacing controversial Hartz IV (officially Arbeitslosengeld II). This benefit covers basic needs such as food, rent and clothing that are calculated at about 563 euros per month per person while they find a job. For their part, the so-called “one euro jobs”: these are subsidized temporary jobs where the State adds between 1 euro and 2.60 extra euros per hour to the employee’s minimum wage in tasks of public interest such as park maintenance or social assistance. That is, these “one euro jobs” would act as a complement to the unemployment benefit they already receive. The problem: in Germany you can choose your job. Schulze’s proposal involves making “one euro jobs” go from being voluntary to mandatory for those who receive unemployment benefits (except for the sick or new parents). This measure revives the old demands of Carsten Linnemann, general secretary of the CDU, who since 2023 has been calling for a reform that allows those who have been receiving aid for more than six months to be obliged to do community work. The main problem with this claim is that, to apply it, it would be necessary to modify the German Constitution. The German Magna Carta details in its article 12 that citizens have the freedom to choose employment and prohibits forced laborexcept in public emergencies or judicial penalties. So the unemployed cannot be forced to work against his will. Doubts about the effectiveness of this measure. The IAB Institute analyzed in 2023 jobs at one euro and concluded that they give structure and routine to unemployed people far from the labor market, but they have a negative impact on those who have options to reintegrate into the labor market since the time they must dedicate to these community jobs is not being invested in looking for stable employment. The CDU argues that the measure would free up municipal budgets and teaches the value of the effort, but opponents see it as a stigma for the most vulnerable employees, ignoring root problems such as lack of training. The political debate in Germany. With the CDU/CSU strengthened after the last federal election, conservative leaders such as Friedrich Merz call for cuts in subsidies for those who reject job offers. Towns like Barnim (Brandenburg) or Greiz They are already testing local versionsalthough with lawsuits for illegality. From progressive positions, SPD and Greens call it demagoguery that distracts from investing in education and daycare and accuse the CDU of promoting precarious jobs for 80 cents an hour. In Xataka | Collect unemployment benefits and a salary simultaneously. The new reform makes it possible, but with conditions Image | Unsplash (Christian Wiediger, Eva Evada)

“The more times you are late for work, the harder it will be for the company to fire you”

Arriving late to work every day, leaving before your time or committing various irregularities in your day can cause your company to give you a warning, sanction you or, in the most serious cases, even apply a disciplinary dismissal for breaching the conditions you accepted in your employment contract. However, as labor lawyer Juanma Lorente highlights in one of his recent videosif you do it repetitively and the company does not warn you for it, that violation can become your best ally to protect you from disciplinary dismissal. Being late is bad, but it can protect you. The labor expert explains in his video a legal paradox in which the company’s inaction can turn an infraction into the best defense for a worker against a legal claim for disciplinary dismissal. The lawyer explains the situation with a very simple example: “Imagine that you have been late to work for 2 years. 5, 10 or 15 minutes and the company does not tell you anything. You arrive and sign in with the real time at which you are arriving and the company tolerates it. From one moment to the next, after two years of arriving late, you find a dismissal letter in which they fire you for arriving late.” According to Lorente, this dismissal would be unfair because the company allowed the “habit” of being late for two years, without reacting in all that time. The expert assures that this inaction represents a tacit permissiveness of that conduct, which is why it could not be used as a reason for dismissal before a judge. Silence gives consent. Although it may be incongruous, since the employee’s violation is effectively proven, the repetition of this behavior without a response from the company is known as corporate tolerance. As and how do they count From the Lex-it law firm, this case occurs when a company is aware of the worker’s repeated infraction, such as repeated delays, but does not sanction it for a long time. This means that a subsequent dismissal for the same reason is seen as unfair by the judges, since the company seemed to accept it and “tolerate” the infraction. As the labor lawyer points out, “If he has not previously sanctioned you for the same thing, has allowed it and has tolerated it, he will not be able to use it to fire you.” ​This principle forces companies to follow a scale of sanctions that is applied from the first infraction of employees: from a simple specific warning to suspensions, before reaching disciplinary dismissal. Ignoring this scale of warnings means that the company cannot allege it as a “direct” reason for dismissal because, according to the court, the company tolerated this behavior. The Supreme Court has already applied it. The Supreme Court has confirmed this doctrine in several rulings in which disciplinary dismissals have been rejected because companies have cited infractions as reasons for dismissal that they have tolerated for years without any warning. The result in all cases has been to reject the disciplinary dismissals and declare them unfair dismissals with compensation of 33 days per year worked, despite it being proven that, in fact, the employee had been committing a violation of the conditions for a long time. In one of those sentencesthe Supreme Court states: “Sanctioning with the greatest severity (disciplinary dismissal) conduct that had previously been tolerated, without any prior warning to the employee that such tolerance was going to end, would be contrary to the employer’s good faith.” ​A practical example: he was late 176 times. A very clear example of this legal paradox is found in the case of the employee of an optician in Asturias who arrived late to her job up to 176 times without the company reprimanding her for it. When the company informed him of his disciplinary dismissal, the Superior Court of Justice of Asturias considered it “irrational, disproportionate and incongruous.” The reason was that the company had demonstrated business tolerance by allowing 176 delays without warning or sanctioning the employee, and resorting directly to disciplinary dismissal. In Xataka | Going to the bathroom is not work: a Swiss court allows a company to force its employees to clock in when they go to the bathroom Image | Unsplash (Campaign Creators)

What is it, how does it work and how safe is this application to install OpenClaw on your mobile with just a couple of clicks

Let’s explain to you What is QuickClaw and how does it work?an application created by developer Max Blade to install OpenClaw easily on your mobile. Thus, you can have this popular AI agent without having to deal with APIs, servers and long configuration processes. The application does all this in a completely private way, and creating the agent within a virtual machine for your greater security. You just have to go to their website quickclaw.appclick on the download that is currently exclusive for iOS, and install everything with a single touch. What is QuickClaw QuickClaw is a mobile application that allows you to use OpenClaw easily on your mobile. Install OpenClaw It is a fairly complex process that can put many people off, and what this does is allow you to install it with a single click and without the need for complications or technical knowledge. Thus, you can have your own agent artificial intelligence on your mobile. This means that you will have an AI that does not limit itself to responding to what you ask or perform simple tasks, but can take control of your applications and perform tasks in multiple steps. All of this is done relatively safely. I say relatively because it will use an isolated workspace within your mobile, although the application will also needs access to a lot of your data to function, which may compromise your privacy. In exchange for this, you will have an application that will be able perform various types of tasks for yousuch as creating or editing files, browsing the Internet and taking actions there, managing your calendars, managing your reminders and more. How QuickClaw works The first thing you have to do is install the QuickClaw application, which at the moment It is only available for iOS in the App Store from Apple. When you install the app, you just have to launch it and An OpenClaw instance will be created and launched on a virtual machine “safe”, so as not to touch your device or its operating system. All this in just one minute. The process will then create a Gateway or user service that remains running, in addition to other components that allow OpenClaw to control applications, send messages and execute actions. All this will be done automatically with the recommended OpenClaw installer. This application is configured so that OpenClaw connect to Claude’s AIwho will be in charge of understanding your requests and carrying out the tasks you ask of her. All of this will be designed to be able to control the agent from your mobile using the app itself. What you can do with this app These are some of the tasks you will be able to perform from your mobile just by asking OpenClaw through QuickClaw: Write documents, essays and code, which are delivered as real files. Browse the web and research topics on your behalf. Set reminders and wake-up calls with personalized summaries. Read and manage your calendar and emails. Create, edit and organize files in your private workspace. Execute multi-step tasks autonomously. Remember the context of the conversations. How secure and private is the app One of the features of QuickClaw is to isolate OpenClaw in a virtual machine. This is an important security measureso that nothing the AI ​​agent does can damage the operating system of your mobile device. OpenClaw is an open source agent, which makes it transparent and secure, people can check that it doesn’t do more than what it says it does. However, QuickClaw is not open sourceso you have to trust the word of its creator. Lastly, you should know that everything you make is sent to Anthropicthe company behind Claude. Currently this company is known for its commitment to offering ethical AI, although this can always change in the future. Your data within QuickClaw will be encrypted and anonymous. In addition, your conversations stay within your mobile, since everything runs locally. In Xataka Basics | Dangers of OpenClaw (formerly Moltbot or Clawdbot) and how to protect yourself from them before deciding to use it

We thought that AI was going to take our position. The reality is that it is making us work more and rest less

The most pessimistic vision of the future of AI predicted that the automation of processes would mean the elimination of many jobs. The most optimistic assure that AI will not replace employees, but rather will enhance your skills making them more productive, which will translate into shorter days. A analysis of Harvard Business Reviewbased on eight months of observation at a US technology company with about 200 employees, reveals something very different: AI is making employees take on more tasks, but also make them work longer days. Do more with AI. The study observed that the use of AI in the company It did not simplify the work, but rather expanded it. The researchers observed that employees, product managers, and designers began using AI on their own initiative, even though the company did not force them to do so. What it did do was provide business subscriptions to those who decided to use it in their work. This use made employees begin to tackle more and more tasks, not only within the scope of their position, but, for example, employees from the sales department asked AI for help. to program a tool to help them in their task. Employees argued that, with the help of AI, they had immediate response to their ideas and projects, which allowed them to accomplish more tasks. The end of breaks. The help of AI and the elimination of friction in starting new tasks motivated employees to take on more and more tasks, increasing their daily workload. The most curious thing is that the researchers discovered that this additional motivation also implied that employees gave up their natural rest times. The increase in workload, even voluntarily, increased their levels of cognitive fatigue and exhaustion, influencing their decision-making capacity. By not having to stop and reflect in front of a blank page of a report or simply go to a colleague’s desk for help with a question, employees endured greater mental strain. This progressive exhaustion had an impact on worsening of work quality and in personnel turnover due to burnout. Fast pace and multitasking. He productivity increase The initial advantage that AI provided made it possible for employees to have several open fronts. The researchers detected that employees assigned a task to the AI ​​(or even several tasks in parallel processes) and, while obtaining a result, started a new task. This practice caused a state of perpetual multitasking, with frequent interruptions and “juggling” between different ideas and open projects, which contributed to exhausting employees’ cognitive capacity a little more. More work for you, more work for others. Daring to take on tasks that did not correspond to them, in turn caused a supervision overload for the departments to which it did correspond. For example, if someone in the sales department created code to streamline the analysis of their sales data, that would require the engineering department to review that code to make sure it was correct. that is correct and safeincreasing your workload with unplanned projects. Blurred boundaries between work and life. One of the most notable consequences is how AI acts as an always-available “co-pilot,” removing barriers between work and personal hours. The employees who participated in the analysis ended up extending their work hours on their own initiative, reviewing ideas or polishing the work they had started with AI at home. As its authors point out, “organizations could see this voluntary expansion of work as a clear victory. After all, if workers do it on their own initiative, why would that be a bad thing?” However, this apparent initial advantage for companies can mask a long-term problem “Overwork can impair judgment, increase the likelihood of errors, and make it difficult for organizations to distinguish between true productivity gains and unsustainable intensity,” the researchers note. The report ‘Barometer of AI in the world of work’ prepared by PwC, corroborates that in companies with a high implementation of AI, productivity increases between 20 and 30% on average, but it is only maintained at these levels if it is accompanied by ethical governance and redistribution of efforts. Without these adjustments, the promise of efficiency becomes a trap of greater individual effort that ends up burning out employees with heavier workloads and longer hours. In Xataka | “The world is in danger”: Anthropic’s security manager leaves the company to write poetry Image | Unsplash (Christina @wocintechchat.com)

Has anyone gotten it to work inside a toaster?

If someone tells you that they have managed to make it work Windows 98 inside a toaster, the first thing is to distrust. The second thing is to imagine one of those smart toasters with a screen, very different from the one most people have at home, and think that therein lies the catch. In the video that supports this article you can see precisely thata modern toaster that, by design, already invites you to believe that anything is possible if you modify the appropriate software. But what is really engaging is not the idea, but the path behind it to turn it into something out of the ordinary, as if it had a nineties PC inside. A toaster with Windows. As we can see in the material shared by “Throaty Mumbo”, the original hardware of the R180 Connect Smart Toasterwhich is presented as “the world’s first connected toaster,” is not prepared to run Windows 98. Instead of forcing that path, the creator opted for a two-tier architecture where the physical control of the device and the execution of the operating system live in different but coordinated environments. Understanding hardware. Given the technical limitations, the next step was to find out how the toaster components actually communicate to find an alternative solution. To do so, the creator used a common electronics tool, a logic analyzer connected to the wiring between the touch screen and the control board. This analysis allowed us to observe the flow of internal orders and detect that the device exchanges command packets approximately every 30 milliseconds to coordinate temperature, tray movement and operating states. Raspberry Pi Pico in control. Once the flow of internal orders was deciphered, the next move was to take control of that electronic conversation. For this, a Raspberry Pi Picowhich began to intercept the original signals and generate new ones capable of governing the behavior of the device. This type of replacement does not imply redoing the entire toaster, but rather placing yourself at the exact point where it is decided what should happen at each moment. From there it is possible to direct heat levels, tray movements and operating states, creating the necessary foundation to coordinate the actual hardware with the computing environment that will be integrated later. Where do we install Windows 98? The answer was to add a second independent hardware block, a Raspberry Pi 5 configured as a small functional computer. This device does not replace the toaster, but rather coexists with it within the same set, providing the power and compatibility necessary to load the classic operating system. To reinforce the retro aesthetic, the entire set was integrated into a 3D printed casing with a 1990s appearance, thus closing the visual distance between the technical experiment and the experience shown on a new 7-inch screen. toast.exe and the manual toasting ritual. With the system already in operation, the interaction is not resolved automatically, but rather through a specific program created for the project. The file, called “toast.exe”, acts as a gateway to the process and provides a step-by-step tour from the Windows 98 desktop itself. First you have to locate the executable on the screen, open it and activate the start command, and then manually control parameters such as heating, cycles and tray movement. Windows 98 doesn’t really live inside the original toaster, but it’s not a superficial illusion either: it works thanks to an integration with several components added later. The result is a hybrid object that continues to fulfill its everyday function while recreating a computing experience from another era. Images | Throaty Mumbo (YouTube) In Xataka | We are preparing to say goodbye to Windows 10, but part of the US air traffic control still works with floppy disks and Windows 95

We already know how ads work on ChatGPT. If you don’t like them, go to checkout

He who warns is not a traitor. From December 2026 ChatGPT hidden code showed the imminent arrival of advertising. It’s something that has just become a reality. OpenAI recently published that it is already testing ads in the United States, something that will affect all users of the free version and some of the paid version. Announcements come to ChatGPT. USA firstbut no one will be free of them. The ads have officially arrived for the free version of ChatGPT and the Go plan. Taking into account that the cost of Go is 8 euros per month, the debate is revived as to whether a paid app is legal or not to have advertising load. Users of the Plus and Pro plans are saved from ads. At the moment, they are in the testing phase, hoping that they will reach the rest of the world in the coming months. Because. Because OpenAI needs moneyit’s that simple. The company’s accounts are not working out, and it stands out in its press release that in order for ChatGPT to continue improving and offering free features, it is necessary to start showing ads. If you want to use ChatGPT for free without any type of advertisement, it will be possible, in exchange for limiting the number of free daily messages. How ads influence responses. They don’t, according to OpenAI. The responses will continue to be oriented to the user’s demands and the training we have done on the model. Ads will always be labeled as sponsored content, and visually separated from the GPT response itself. If you’re wondering how the ads you’ll see will be selected, according to OpenAI they will match ads sent by companies to conversation topics. If you’re searching for a recipe, you may be shown food-related ads. About privacy. Advertisers will not have access to our chats, history or personal data. They will only receive information about the performance of their ads. Products from sensitive categories related to politics or health may also not be advertised. Likewise, from the app’s own settings, we can configure whether we want to personalize the ads (whether our history and chats are used to improve the suggestions or not). The party is over. Advertisements on ChatGPT were simply unavoidable. The key now is whether OpenAI, faced with Antrophic’s explicit refusal to introduce advertising in Claude and a Google that can afford not to depend on it, will be able to integrate ads without degrading the product or breaking the perception of neutrality. Image | OpenAI In Xataka | ChatGPT pretends to know everything even when it has no idea. Stanford University believes it has the solution

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