Google has decided to touch the heart of Gmail. Gemini aims to transform the inbox into something completely new

Email has been there for decades, functioning almost silently, as a basic piece of digital life that we rarely question. We use it for studies, work, registering for services, coordinating our personal life and resolving procedures that continue to pass, to a large extent, through the inbox. Precisely for this reason, the changes in this section are usually minimal and prudent. Gmail has been a good example of that stability for years. Now, Google has decided intervene in a more profound way and do so relying on artificial intelligence. From the Mountain View company, the argument is clear: the problem is no longer just receiving emails, but managing the volume and context that accumulate in the inbox. Gmail was born in 2004 in a very different scenario, and today it coexists with endless threads, cross conversations and an information load that never stops growing. In this framework, the company presents the so-called “Gemini era” as a logical step, a way to turn the inbox into something more than a chronological file and begin to treat it as an active system to understand, prioritize and act on information. Google links a good part of these changes to Gemini 3the model that claims to be behind the new capabilities. Search less, ask more. The traditional logic of email has always been the same: search, filter and read. AI Overviews breaks that sequence by introducing a layer of automatic synthesis. When a thread gets longer, Gmail can generate a summary with the important points, avoiding having to go through message by message. And when what is needed is specific information, the proposal is even more direct: ask the inbox. Gemini interprets the query, reviews the relevant emails and returns a summarized response. Google separates the scope of these features: automatic thread summaries gradually roll out to everyone, while the option to ask inbox questions with AI Overviews is tied to Google AI Pro and Ultra subscriptions. Write with help and understand what goes into each plan. Beyond reading email better, Google also wants to make writing it take less effort. Help me write is free and allows you to both polish existing messages and write them from scratch based on a brief indication. Added to that are the new Suggested Replies, which evolve the classic quick replies by taking into account the full context of the thread and the user’s own style. The most advanced layer, Proofread, adds grammar, tone, and style checking, but is reserved for those who subscribe to Google AI Pro and Ultra. According to Google, the rollout begins today in the United States and starts in English, with the promise of expanding languages ​​and regions in the coming months. The new inbox. AI Inbox is the most ambitious bet of this change. Gmail introduces an alternative view that transforms the inbox into a combination of task list and summary of active topics. Artificial intelligence promises to detect pending commitments, payments, appointments or responses and present them as suggested actions, while grouping long conversations together for easy catch-up. The idea is not to replace email, but to reinterpret it, making what is important emerge without the need to manually scroll through messages that, although relevant, are buried by the volume. At the moment, AI Inbox does not come as a function open to everyone. Google is testing it with “trusted testers” in the United States and only through the browser, with priority for personal Gmail accounts and not for Workspace accounts. Furthermore, the proposal still has visible shortcomings: there is no system to mark suggested actions as completed, which limits its usefulness as a task manager. Control in the hands of the user. New features powered by Gemini can be turned on or off, and the classic inbox is still available. However, that control is not completely granular: turning off AI also means you lose other smart features that many users already took for granted. Regarding privacy, Google states that it does not use Gmail emails to train its artificial intelligence models, a key guarantee so that this new layer does not generate distrust in such a sensitive space. This movement makes it clear that Google has decided not to stand still in a field that had been operating for years without profound changes. If this new way of understanding email proves to be useful on a daily basis, it is reasonable to think that other providers will end up following a similar path. In technological careers, not moving or reacting late usually has a cost. But email is also governed by a very different logic: if something works, touching it involves risks. Gmail now enters a real testing phase, where it will be necessary to see if this bet manages to simplify the experience or adds unnecessary complexity. Images | Google In Xataka | Alphabet has just overtaken Apple in the ranking of the most valuable companies in the world. The reason is in AI

The man who failed to transform Siri and the brain of the AI ​​strategy ends his stage

Apple has communicated that John Giannandrea, one of the most influential executives in its AI strategy in recent years, will begin a retirement process that will culminate in 2026. The company explains that the executive will leave his position as senior vice president of Machine Learning and AI Strategy, although he will continue to collaborate as an advisor in the coming months. This announcement comes months after a realignment of responsibilities related to Apple Intelligence and Siri. Giannandrea landed at Apple in 2018 as one of its most notable signings, with the task of strengthening the AI ​​strategy and giving Siri a new direction. His team was in charge of areas such as Apple Foundation Models, the internal search engine and machine learning research, technical pieces on which Apple has built much of its recent strategy. He also took on responsibility for guiding the evolution of Siri and coordinating AI projects that affected multiple teams in the company. A project that began with ambition and ended in postponements. Apple Intelligence was born as a profound renewal of the user experience, but the advances were not at the expected pace. The Information detailed that the demo shown at WWDC 2024 did not fully reflect the advanced capabilities that Apple had suggested, and that many of those features were not implemented at the time of the presentation. The pressure increased when the company confirmed that the new Siri with personalized functions would be delayed until 2026. What was supposed to be the new turning point ended up becoming a chain of postponements. Internal war in Cupertino over the direction of AI. Tensions between the AI/ML group and the software team were long-standing, according to The Information. While the area led by Giannandrea opted for a more cautious advance focused on privacy, Craig Federighi defended a more pragmatic approach aimed at tangible results. The clash of priorities became evident when some engineers began referring to the AI/ML team as “AIMLess,” a sign of the accumulated unrest. The situation led to a March 2025 twist that placed Federighi and Mike Rockwell at the forefront of Siri’s new direction. A loss of influence that had been brewing. According to Bloomberg, Tim Cook’s trust in Giannandrea suffered after the numerous delays in the development of the Apple Intelligence functions promised during WWDC 2024. In a meeting with his team, the manager admitted that the delays were “ugly” and acknowledged the shame and anger that this situation had generated among the staff. After the change in leadership in 2025, a good part of his functions began to be left in the hands of other managers, while he maintained other tasks in research into AI and robotics technologies. This shift in operational focus serves as a backdrop to the announcement that he will become an advisor before retiring in 2026. The landing of Amar Subramanya and the new architecture of power. Apple has hired Amar Subramanya as vice president of AI after his time as corporate vice president of AI at Microsoft and 16 years at Google, where he was responsible for engineering the Gemini assistant. According to the official note, Subramanya will take charge of key areas such as Apple Foundation Models, machine learning research and AI Safety and Evaluation teams. He will report directly to Craig Federighi, thus reinforcing his weight in the artificial intelligence strategy. The rest of the organization linked to this area will be under the supervision of Sabih Khan and Eddy Cue, a cast that seeks to align responsibilities with their respective departments. Giannandrea’s retirement and the arrival of new managers mark a turning point for Apple in its artificial intelligence strategy. The company now relies on a more defined structure, with Craig Federighi at the center of the project and Amar Subramanya leading key research areas and foundational models. The challenge will be to convert this reorganization into visible improvements for users and regain competitiveness in a market that evolves at high speed. Images | Apple In Xataka | Huawei has a patent with which to manufacture 2nm chips. The only problem is that it’s just a patent.

An educational plan asked to transform teaching with AI. The problem is that it brought a dozen invented sources

The story has some irony: a report of more than 400 pages about education, which took a year and a half to be written in a province of Canada, has been uncovered with a crack difficult to repair. According to CBC Newsthe document contains a variety of false sources, from alleged academic articles to a film that never existed. The contradiction is striking: a text designed to guide schools and universities in times of AI, indicated precisely for an error that reminds of the “hallucinations” of the generative models themselves. What has happened exactly. The document in question is titled ‘A VISION FOR THE FUTURE: TRANS Transforming and Modernizing Education‘. It was presented at the end of August as a ten -year roadmap to transform public and university education into Terranova and Labrador. Its launch was accompanied by great expectations: to serve as a guide for the future of the education system in a province that seeks to adapt to the digital age and the challenges of artificial intelligence. What was not expected is that, after its publication, it would be discovered that at least fifteen of its bibliographic references do not exist. We can find titles impossible to locate in academic databases and that, in some cases, seem copied to fictional examples used in style guides. This finding opened an immediate debate about the reliability of the report and on the supervision of the process that led to its writing. Official reactions contained. The Department of Education recognized the existence of a small number of possible errors in the appointments and assured that they will be corrected in the online version. One of the co -author, Karen Goodnough, just pointed out in an email to the aforementioned medium that “references are being investigated and reviewed, without giving interviews with local media. Today, however, access to the report itself has been complicated: the original link in which it was published He no longer shows it and returns an error 404. Only remains visible in a filed copy. Invented appointments. Among the most striking examples is the mention of an alleged 2008 film produced by the National Film Board, entitled ‘Schoolyard Games’. The agency itself confirmed that this work never existed. The reference, however, appears in the report with all the details of a real bibliographic record, as if it were a verifiable source. The track led to discover something even more disturbing: The appointment matches word by word with an entry included in a university style guide used as a model to write bibliographies. That manual explicitly warns that many of its references are fictitious and are designed only as examples. Despite this, some ended up integrated in the final document as if they were authentic. It is striking because the document not only speaks of AI, but also reserves a specific chapter: use it to customize the teaching, support teachers and simplify administrative processes, while driving competencies in AI, responsible practices and protection of privacy. In its “Calls to Transformion” it proposes to modernize the school system and prepare students for a digital environment where these technologies will be part of the day to day. Was the generative used? The finding of false quotes opened another inevitable question: to what extent did artificial intelligence intervene in the preparation of the report? According to CBC News, some teachers fear that these references have been created with a language model, since these types of systems usually generate plausible titles that do not actually exist, but for now there are no conclusive evidence. Images | Steven Binotto | Screen capture In Xataka | Jensen Huang, Bill Gates and other CEO are clear: the AI ​​has opened the door to the three -day work week

It is no longer necessary to pay to transform our photos into what we want. The latest Google offers it for free for everyone

Edit images has become routine: to surprise in networks, to Try a new style or to rescue old photographs They keep memories. In classic filter apps stores with bets for artificial intelligence. Many are paying, others pay below what was promised. Google can be about to change that balance And, this time, with a difficult argument to ignore. The novelty comes integrated into the app of Geminiboth on mobile and on web. According to Googleits engine, based on the latest Gemini models, not only generates from text: it also edits real photos with instructions in natural language and chained steps, from changing the background to replacing objects or merging two images into one. The company presents it as its highest quality image tool to date. The jump is not in new creations from scratch, but in the photos we already saved on the reel The focus is not so much to create posters from scratch and in Transform the everyday. Try a different haircut, carry a novel aesthetic, turn a selfie into a Gothic version or emo, add that backpack that you forgot in the shot, move to another landscape or combine two photos for a coherent composition. The promise is to maintain the recognizable features of the subject, a critical point in which Google claims to have improved against usual distortions. The experience is conversational. You upload a photo, write what you want and see the result; If you don’t convince, you ask for adjustments. Nothing to use traditional tools. Everything flows at a blow of textual requests. For the general user there are two keys. The first, availability: can be used in the Gemini app for iOS and Android and also in the web version. If you are creator or developer, the service appears on Google Ai Studio. The second, price: Free access to test and edit images without subscription. The same portrait, four different styles. The Gemini generator plays with color, texture and shape without leaving the app There are also limits. Although demonstrations teach convincing results, there are still scenarios that challenge any model: precise typefaces, very fine details or tiny faces in complex scenes. Fidelity to the original improves when concrete changes are requested, but not always right. The practice advises iterate, adjust and check the full size result. From neutral portrait to three different fashion decades. Gemini plays with aesthetics and time as if they were filters In security, Google insists on the safeguards. The images generated They incorporate visible water brand and a mark embedded by techniques such as Synthid to indicate its origin with Ia. They are measures aimed at stopping an obvious risk: the more realistic these tools are, the easier it will be to manufacture deception. Skater, two miller or classic. Gemini’s generator makes a common photo a parade of personalities The interesting thing about Gemini is how natural it is to try styles without touching a complicated editor. You can ask for “Make me Y2K version” and see how the selfie is transformed with silver chains and two milea fashion prints. Or write “convert this photo into look skater” to make caps, wide sweatshirts and that aesthetics of urban park. The same portrait can also become elegant with a “beam that this photo is preppy”, keeping your features but completely changing the air of the scene. The before and after the same image: Google’s AI repairs, color and rescue (or invents) the lost details Those who want to restore the family album, the option to recover old photosincluding collecting in a single instruction, provides utility and emotion. For creators, the possibility of mixing images, conserving faces and repeating styles offers a powerful advantage. The edition with AI moves to the day -to -day layer, and Google does not arrive alone. Competes with other proposals, such as Chatgpt, Grok, Midjourney, Qwen and even adobe. The good news is for users, which we have more and more options at our disposal to achieve our editing goals, and in a way, give free rein to our creativity. Images | Google In Xataka | Deepseek put China on the AI ​​map. The danger is that this revolution stays in a day flower

We have achieved a new milestone into recycling: transform plastics into paracetamol

The name Escherichia coli It is usually associated with stomach infections, some potentially mortal. Now a genetically modified version could help us synthesize one of the most consumed medications in the world, acetaminophen or paracetamol. And incidentally help us with a no less serious problem, plastic waste. Recycling. A new study He has shown The possibility of using bacteria in the production of paracetamol based on a common plastic, polyethylene or PET terephthalate, using bacteria as a tool. This mechanism can open the way to a cleaner system to synthesize the popular analgesic and antipyretic. Plastic and paracetamol have something in common: both are synthesized from hydrocarbons. That is why the team responsible for the new study wanted to demonstrate that the residue of one could serve as raw material in the manufacture of the other. “This work shows that PET plastic is not just a disposable product or intended to become more plastic: it can be transformed by microorganisms into new and valuable products, including those with potential to treat diseases,” explained in a press release Stephen Wallace, co -author of the study. E. coli. Normally, bacterium populations E. coli They live in our digestive system. However, some variants of this species have the ability to produce some harmful toxins For our body, resulting in pathogens. However, the team responsible for developing this new technique has set something very different and is the phosphate of these bacteria. Using genetically rescheduled specimens, the equipment transformed this bacteria into a key step in the transformation of a residue into a medication. 24 hours. All in a process that requires just 24 hours. This process begins with the decomposition of plastic. In its experiment, the team used bottles, although other types of PET plastics could serve in the process. The team administered tereftallic acid, a derivative of this plastic, to the bacteria carried out by an internal fermentation process that resulted in synthesizing the pharmacological compound. The details of the process were published In an article In the magazine Nature Chemistry. Decarbonizing the process. One of the details of the process prominent by the team is that this can be performed at room temperature. This implies lower energy consumption and therefore “virtually no carbon emission”, opening the way to a more sustainable production of paracetamol. The great challenge is to climb this process to make it profitable at the industrial level. Something that will not be easy for what for now we can only talk about a promising technology that can help us face two major challenges in sustainability: residues derived from plastics and drug production. In Xataka | The end of plastic as we know is probably close. The plastic capable of self -destroying is already ready Image | Niaid / Doctor 4U UK

This is the tunnelador who aims to transform line 11 of Madrid

The expansion of line 11 of the Madrid Metro aspires to much more than adding stations: It wants to become a great diagonal axis that see the city transversely. It is an ambitious, complex work that demands machinery at the height of the challenge. In the center of that machinery is Mayritthe tunnelador that will be in charge of opening a passage underground. It is not a generic machine, but a model expressly designed To adapt to the geological and geotechnical conditions of the Madrid land, and that in the coming months will become the main protagonist of one of the most important developments of public transport in the capital. A tunnelador designed for the Madrid subsoil The tunnelador is already finished. Its manufacture has been in charge of Herrenknecht Agone of the most recognized firms in this type of machinery, and It has developed in its Schwanau factoryGermany, during a 20 -month process. Mayrit is not any tunnelador. It is an EPB model (Earth Pressure Balance)adapted to dig in cohesive land, such as those in Madrid. Measures 98 meters long, It weighs 1,500 tons and is able to advance up to 15 meters per day. On average, you can complete about 500 meters a month with teams of twelve people per shift. To this technical level is added logistics complexity. His transfer to Madrid will not be fast or simple. The machine must be completely dismantledpiece by piece, for the next three months. Then, one will begin trip more than 2,000 kilometers which will combine road journeys to Antwerp, maritime transport to the port of Santander and, from there, its truck transfer to the future Comillas station, in Carabanchel. There will begin the reverse process: a new assembly that will last until March 2026, when it is planned to start operating. Its function will be to drill the section of the section between Elliptical Plaza and Count de Casal, one of the most complex phases of the expansion. The works in this section are already at 18.4% execution, and the regional government has announced an investment of 518 million euros only at this stage. In parallel, manual excavation works have already begun in a 700 -meter stretch between quotes and elliptical square, with a rhythm of progress of about 50 meters per month. The goal: to leave the ground prepared for when Mayrit enters action. And the truth is that, beyond rhetoric, the technology that moves Mayrit is far from being trivial. Inside, A TRANSPORTED SCREW the material excavated to a tape, while pressure sensors allow Real time control the balance of forces in the excavation chamber. This allows to maintain the stability of the front and avoid sinking, even in heterogeneous terrain with the presence of gravel, water or sand. In addition, the system can be adapted on the march to different geological scenarios. Herrenknecht has developed several solutions that convert the end of the endless into a wash circuit to also work with sludge when the land demands. Other modules allow to modify the consistency of the soil by injections of bentonite, water or foam. At the moment, the arrival of Mayrit to Madrid is scheduled for December. Images | Madrid Metro | Herrenknecht In Xataka | The largest concrete wall in Spain is in Salamanca and generates electricity: this is the almond dam

Transform smartphones sensors into an antimatter chamber

One of the reasons why Antimatter is so interesting Not only for particle physicists, but also for the people to whom we are passionate about science, is that the tools we have They still do not allow us to understand what role he played in The origin of the universe. However, the enigma does not end here; Nor do we know what laws govern the faint line that delimits the imbalance between matter and antimatter in the cosmos. Before moving forward, we are worth stopping for a time to briefly review what antimatter is and what makes it so peculiar. Actually, it is nothing more than a form of matter constituted by antiparticles, which are particles with the same mass and spin as the particles with which we are familiar, but with opposite electric charge. In this way the antiparticle of the electron is the positron or antielectron. And the proton antiparticle is the antiproton. The antimatter has a surprising property: when they come into direct contact with the matter, both are annihilated, releasing a large amount of energy in the form of high-energy photons, as well as other possible particle-antiparticle pairs. It is currently being studied in much of the research centers specialized in physics of most important particles in the world in the hope that knowing it better helps us understand some of the mysteries of the cosmos that remain out of our reach. The AEGIS experiment demonstrates how ingenious particles are physicists The sensors of the cameras of our mobile phones are very valuable when it comes to unraveling the mysteries of the antimatter. This a priori statement may seem strange, but it is reliable. And is that a team of researchers from the Technical University of Munich (Germany) who works side by side with scientists from the Cern (European Organization for Nuclear Research) has designed an experiment that, precisely, resorts to this strategy. It’s called aegis (Antimatter Experiment: Gravity, Interferometry, Spectroscopy or ‘Antimatter experiment: gravity, interferometry, spectroscopy’) and is extraordinarily ingenious. AEGIS uses modified sensors of mobile phone photo camera to identify the points where antimatter and matter are annihilated In the cover photography of this article we can see what the device they have built. Broadly the purpose of this experiment is to study the interaction between gravity and antihydrogen, which is a form of antimatter, to verify if the latter behaves before gravity in the same way as ordinary matter. As we can deduce from its name, it resorts to interferometry and spectroscopy techniques to carry out its objective, but the most surprising thing is that the detector uses modified sensors of camera photo cameras to identify in real time the points in which the antimatter and the subject are annihilated. “For AEGIS to work properly we need a detector with an incredibly high spatial resolution. And the smartphones camera sensors have pixels of less than 1 micrometer,” Francesco Guatieri explainedmain investigator of the experiment. “We have integrated 60 camera sensors in our detector, which allows you to reach a resolution of 3,840 megapixels, the largest amount of pixels of any image detector to date.” It is spectacular. Let us trust that Aegis fulfills its mission and these scientists manage to understand a little better how the interaction between antimatter and gravity is. Image | Cern More information | Cern In Xataka | CERN physicists believed that symmetry between quarks up and down is broken. Is much more than they expected

A Japanese study is being able to transform methane into a clean energy source: turquorogen turquorogen

Green hydrogen is the best known for its production from renewable energy, becoming One of the cleanest options. However, there are other types of hydrogen that can be of less to more pollutants. Among which we are going to highlight turquoise hydrogen, because it has aroused interest in its production process from methane without emitting CO₂. Turquoise hydrogen. The Japanese company Ebara has begun to investigate The main benefits of using turquoise hydrogen in front of other types of hydrogen. In his studies he has found in this gas a clean alternative that comes from methane contained in natural gas or biogas. The National Institute of Materials Sciences and the University of Shizuoka participate in the project, as well as the Taiyo Koko material manufacturer. In addition, the initiative is part of the Organization for the Development of New Energies and Industrial Technologies, promoted by the Japanese Government. How is the process? The Japanese company has concentrated its work on the pyrolysis of methane, that is, in trying to separate hydrogen and solid carbon into different reactors. From this work, more efficient hydrogen can be produced without compromising the quality or amount of carbon generated. In addition, when separating solid carbon, the possibility of using it in a variety of industries, such as the manufacture of tires, carbon fibers for cars and airplanes, among others, is opened. What happens in Spain? If we have to talk about hydrogen and methanewe can talk about Spain, but before that a recent report has detailed that the Iberian Peninsula leads the energy transition with 82% of clean electricity. Spain has stood out for ambitious initiatives, such as the H2Med corridorwhich aims to create an infrastructure for the distribution of green hydrogen between Spain, France and other countries in Europe. For its part, the biomethane It is presented As an interesting option in the context of the transition towards cleaner and sustainable energy, being one of the sources to produce hydrogen without CO₂ emissions, as demanded by the growing energy industry. Turkish hydrogen forecasts. The future of turquoise hydrogen seems promising and Spain could become a great energy hub if combines the different projects that are underway. For its part, the Ebara company hopes to have its production process ready for marketing around 2026. In addition, the combination of clean hydrogen with solid carbon industrial applications opens new opportunities for the use of these materials in key sectors, such as automotive and aviation, which could transform not only energy, but also entire industries. Everything remains in Navarra. Apart from producing hydrogen through methane, there are also other investigations to continue taking advantage of this gas. A group of engineers from the same Autonomous Community managed to develop A solution by transforming the way clean energy occurs from methane. This research, focused on a technique of decomposition of methane, promises to offer a sustainable natural gas alternative without generating carbon dioxide emissions (CO₂). Image | Pixabay Xataka | The largest recorded methane is just a warning: we have been underestimating this greenhouse gas for decades

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