Google

I’ve had the Apple Watch on my wrist for 10 years. The only thing I asked for was the Google bracelet

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Server has had an Apple Watch in his drawer for months. And just take advantage of the introductory offer of the Fitbit Air for 99 euros plus 45 euros of balance in the Google Store (just what the straps are worth). Because? Because I’ve been waiting for exactly that product for years. No screen. In my particular case (and like a good part of Spain), practical crossfit daily. and the crossfit It is not a sport compatible with smart watches. Many of the movements require the barbell or kettlebell to hit the wrist, and you wouldn’t want to have a Apple Watch Ultra receiving a little kiss 32 kilos. Being able to have a smart device without a screen is a dream come true for me, since I can meet my health tracking needs without worrying about anything else. Why not the Whoop. Yes, Google has not discovered the fire. Whoop has his own bracelet and Polar launched theirs free of subscription. Whoop’s problem was precisely that, being literally tied to a membership of at least 199 euros per year (and that in the cheapest version). Amazfit has your Helio Strap for the same price than the Google bracelet, although it is a fairly bulky device and very similar to a smartwatch. However, Google has managed to launch a hybrid between a simple strap and a MiBand for 99 euros. A device from which, knowing Fitbit’s history, I expect measurement sensors with higher quality than those I have tried in similarly priced alternatives. I don’t want notifications. It is a completely personal decision, but one of my goals in the last two years is to respect digital disconnection. I’m not the first to buy a smartwatch to not depend so much on the phone… and end up turning my wrist every now and then to see what notification it has. Removing the screen completely eliminates this barrier. No calls, no notifications, no temptations of any kind. Just a device that works in the background measuring my vitals. No subscriptions. Google has done well with the two systems that its Fitbit allows: the paid one and the base one. It is not a device that requires a subscription to enjoy the basics required and, only in case we want to expand its functions, we can choose to checkout. PREMIUM BASE follow-up Steps, calories, distance traveled, cardiovascular load and recovery. Personalized physical activity plans. Steps, calories, distance traveled, cardiovascular load and recovery Measurements Heart rate, heart rate variability, respiratory rate, blood oxygen (SpO2) and more Heart rate, heart rate variability, respiratory rate, blood oxygen (SpO2) and more sport Adaptive physical activity plans Personalized weekly workouts and physical activity plans, adapted to your goals and that you can adapt to your lifestyle – dream Sleep score, schedule, duration and phases. Personalized sleep summaries. Sleep score, schedule, duration and phases. records Notes on weight, nutrition, water consumption, mood and menstrual cycle. Proactive information and statistics about your records. Notes on weight, nutrition, water consumption, mood and menstrual cycle. additional Library with mindfulness sessions, such as meditation, guided breathing, relaxation and more. Library of dynamic workouts led by expert trainers and instructors. Personalized Gemini-based coach – The subscription model for 8.99 euros per month adds Gemini as an ally, but it is not essential or mandatory. The bracelet, without any type of subscription, does everything you would ask of a product of this type. With an app with a lot of potential. The Fitbit app has been renamed Google Health, an important declaration of intent after purchasing Fitbit for 2.1 billion dollars. Google will collect all the data related to health here, finally giving the love it deserves to an app that was far behind its direct rival (Health on iOS). In short, an economical product, which allows me to forget that I am wearing a smart watch or bracelet, and whose information I will only consult at the end of the day as a summary. In Xataka | Best activity bracelets. Which one to buy and most recommended models from 25 euros

The spike in Google searches after the 2024 eclipse reveals that we continue to ignore science

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It has been known for a long time that It is not healthy to look directly at a solar eclipse. It is said that Socrates himself I already recommended looking at it reflected in the waterbut never directly. However, human beings have a fairly significant tendency to ignore scientific recommendations. This is possibly the reason why in 2024, after an eclipse in the United States, Google searches for the phrase “my eyes hurt” had a very abrupt peak. The time and place coincide. That peak of searches took place on April 8, 2024 at 3:00 p.m. Eastern Time. Just at that moment a solar eclipse was occurring whose strip of totality crossed from Mexico to Canada, passing through the United States. The states where the most searches were carried out were Vermont, Arkansas, Michigan, Ohio and Indiana, all of them immersed in the path of the eclipse. Eclipse retinopathy. When looking directly into sunlight, the retina can suffer serious damage. The condition that occurs is known as eclipse retinopathy and causes symptoms such as photosensitivity, blurred vision and headache. Vision can be affected for months or even permanently in the most severe cases. For this reason, no matter how much it may seem like the sun is covered, we must look at it with adequate protection. No sunglasses or x-rays. We have all heard at some point that it is safe to look at an eclipse through an x-ray or a photo negative. However, this is a myth that can be very dangerous. Sunglasses are not safe either. Generally, These are prepared to filter approximately 99.9% of solar ultraviolet radiation.. However, in the event of an eclipse, in which we look directly at the sun, this protection is needed, added to a filter of 99.999% of visible sunlight. It is necessary to use special eclipse glasses, always with filters approved by the competent authorities. Be careful with binoculars and telescopes. We should also not look directly through telescopes or binoculars without using filters. These are placed outside the lens and protect our retinas from solar radiation when we look through them. If none of this seems right to us, we can always resort to a pinhole camera, which reflects the image of the eclipse on another surface. Something like what Socrates advised about looking at the reflection in the water. It is important to use approved glasses You shouldn’t even look at a total eclipse. When the eclipse is total, the Sun is completely obscured. At that point, we might feel safe without protection. The problem is that it is not easy to calculate the exact moment in which the eclipse will begin to dissolve and with just a little bit of light, just when the Sun begins to reappear, we can damage our retinas. It is important to use protection from the beginning. It wasn’t eclipse retinopathy. In reality, the symptoms of eclipse retinopathy They usually appear several hours after the event. Interestingly, eye pain is not one of these symptoms. Therefore, what all those people were looking for was due to another reason. When we look at the sun, we usually experience a blink reflex that forces us to look away. However, with a solar eclipse the brightness is dimmed enough for this reflection to disappear. As a consequence, we can comfortably look at the Sun and keep our eyes fixed, without blinking. That’s what can make our eyes hurt or feel a burning sensation. Specifically, that is not dangerous. Still, those Google searches show that many people were worried. Many of them may not have used protection and regretted it. Ready for August. Next August 12 we will have the first of the eclipses that make up the Iberian Trio. Many people have already bought tickets to travel to some of the points in the totality zone. There are even those who have gotten tickets for one of the many festivals that will be celebrated for this reason. Whatever plan we choose, the important thing is protection. Maybe, even if we protect ourselves, there will be a peak in Google searches, but it better be because we don’t blink for a while and not because we have really damaged our retinas. Image | Magnific/NASA | POT In Xataka | The trio of eclipses that await Spain on the horizon: an unprecedented and historic chain between 2026 and 2028

Your Gmail inbox has been filled with emails obviously written with AI. Google wants to fix it with more AI

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We’ve all spent several minutes staring at the cursor, thinking about how to respond to that important email; Find the tone that is forceful and kind at the same time, but not too kind. With Gemini integration into Gmail We don’t have to think so much anymore, we can say just that and the AI ​​writes it for us. The cost is that all emails sound like AI, and Google knows it. Help me write. It is a function that Google integrated into Gmail a long time ago and that allows us to compose emails from a prompt. Google just announced improvements for this feature: contextualization of the theme (you can now connect with Drive and Gmail to extract relevant information) and customization of tone and style. Google says it creates drafts that “reflect your personal writing style.” It is a way of recognizing that AI is homogenizing everything, including how we communicate. All emails sound the same. Automatic reply suggestions and writing aids have been a blessing for those who have to write and respond to many emails a day. When it comes to “cold emails” that seek to attract the recipient’s attention, in the end none of them stand out. A marketing manager has on Reddit that before it used to read them all, now it deletes them directly. It only reads them if it looks like a human wrote it. The problem goes beyond our inbox, social networks like X or LinkedIn are full of posts written with AI. It is even being noticed in the works submitted by students at the university. Humanize AI. This is where we are: we use AI constantly, but we don’t want it to be noticed. a search It gives us dozens of tools that promise to humanize our texts generated with AI. And it doesn’t just happen with texts, an illustrator friend told me that a client presented her with some illustrations so she could improve them. They were AI illustrations and the problem wasn’t that they were bad, it was that they said they were AI too much and I wanted them to look handmade. Plus, I wanted to pay him less because I just had to remake them in his style. He refused. Non-communication. The novelty that Google has announced is based on your writing style of previous emails, but what happens when all those previous emails were also written with AI? It’s an endless cycle: you write an email with AI, they respond using AI, you read the summary that the AI ​​has made of the email and you respond again using AI. The writer Tim O’Brien said: that if “no one has written it, no one has read it.” This is not just a stylistic issue, it is a bigger problem: we are delegating something as basic as our own communication. In Xataka | From chaos to calm: this is how I manage my email using the “inbox zero” technique Image | Google

We are increasingly looking for human answers on Reddit. That is the reason why the Google search engine is now a Reddit in disguise

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Google has updated its search platform for the umpteenth time, but it has done so with an especially significant change. The user experience in its AI search engines (both AI Overviews and AI Mode) attempts to become more “human”. And to do this, in these searches Google will add more context to the links, such as extracts from internet forums and blogs. And if there is a beneficiary (or harmed) of that movement, it is Reddit. Google was already a gateway to Reddit. There is a behavior that Google has been seeing in its data for years and that for a long time it preferred not to publicly acknowledge: when someone wants a real answer to a real question, add “Reddit” to the end of the search. Not because Reddit is necessarily a reliable source, but because Reddit brings together real people who have experienced this issue, tried to solve it, and written about it without anyone paying them to do so. Google, with all its infrastructure and all its algorithms, had not managed to replicate that. So instead of trying it’s going to incorporate those answers directly. What exactly has changed. The search engine update will make in AI Overviews Fragments from forums, social networks and other “first-person sources” appear. When someone searches for something for which there is no single objective answer, Google’s AI will include perspectives and opinions found in all kinds of (supposedly) human sources online. Doing so will add the name of the creator of that content (or their avatar) and the origin from which said perspective comes. Google also promises to add more context about the origin of its AI-generated answers, similar to how ChatGPT or Claude include links supporting their answers. Tired of so much SEO. The reason is obvious: Google’s organic results for practical and subjective questions—”what vacuum cleaner should I buy”, “how do I cure my dog’s ear”, “what is the best neighborhood to live in in Valencia”— They are dominated by SEO and those techniques optimized to appear on Google. It is important to position, not answer the question well. That is precisely where Reddit, like other forums or personal blogs, has something that this content usually does not have: the real experience of someone who was in the same situation. Google sums it up in its own statement bluntly: “For many searches, people are increasingly looking to other people for advice.” The contradiction that Google has not resolved. There is a potential problem in this new way of conceiving these searches with AI. AI Overviews were designed to answer questions directly and thus save the user the work of clicking, reading and researching. Now they will include diverse and even contradictory perspectives from forums and social networks. So, will AI Overviews answer the question, or will it make us go back to the sources to find the answer? If it is the latter, it will not be very different from what I already did the traditional Google search engine. There is an interesting imbalance here between “we give you the answer” and “we give you context so you can find the answer.” In a sense, Google’s decision complicates searches. AI models are becoming less prone to failure. The famous cases of add glue to pizza are much less common now, and new models often boast a significant reduction in “hallucination” rates that they have. GPT-5.5 Instant, released this week, “produced 52.5% fewer hallucinations than GPT-5.3 Instant,” OpenAI indicated in its official announcement. The problem is that these hallucinations are increasingly difficult to detect because these chatbots hide these mistakes very well. That the system now includes unverified or validated content from networks like Reddit can be problematic: community votes do not always measure how truthful or useful a certain thread is. Using Reddit has its drawbacks. This platform has value precisely because it is not optimized for Google algorithms: It is chaotic and contradictory.. Sometimes there are brilliant responses from people, but other times there are completely wrong comments. When a user adds “Reddit” to their search and reads the results, they are automatically weighing which comments are useful and which are not. But that step disappears if Google extracts fragments of those discussions to include in an AI Overview. Eliminate that human filtering step and presents those answers with an authority that perhaps they should not have. Google will have much more difficulty than a human in distinguishing the comment of someone who has been working in plumbing for twenty years from that of someone who tinkers as a hobby. The shadow contract. This is not just an editorial or technological decision. In 2024 Google signed a deal worth $60 million a year with Reddit to access their data and train their models. You are not incorporating content from this social network as a public service: what you are doing is monetizing a commercial contract. Your message that you are highlighting those “original voices” is really saying that you have paid for that privileged access to Reddit content and now you are going to take advantage of that access and make it profitable. That revenue is interesting for Reddit, no doubt, but there is a problem: clicks. The Stack Overflow Precedent. There is no need to speculate much about what may happen because it has already happened. Stack Overflow is the largest technical Q&A community on the internet, but has lost most of its traffic in two years because AI companies They started collecting all those answers. to train your models and then serve them to your users directly. That caused users to stop visiting Stack Overflow and experts to stop answering questions. The quality of the new content on this network was clearly affected, and it became clear that if the AI ​​already gave you the answer without having to enter Stack Overflow, why enter? The danger for Reddit is exactly the same. Google didn’t have many alternatives. ChatGPT, Claude and Perplexity They have been capturing … Read more

everything we know and think we know so far about the next Google mobile

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Let’s collect you everything we think we know about the future Google Pixel 11the family of mobile phones that is the successor to the current ones Pixel 10. As is usual in the industry, weeks and months before the launch of the most anticipated mobile phones, the Internet is filled with all kinds of leaks, and we will tell you the most interesting and plausible. We are going to start by talking to you about the possible presentation dates of the new Google Pixel 11, because based on experience we can already narrow the range quite a bit. Then we will tell you the models that there may be, to finish by going into the features that have been leaked. Finally, you should know that the Pixel 11 will be the first to arrive with Android 17 serial. And as usual, you will also do so enjoying some exclusive featuresin addition to being one of the first where you can try all the other new features of the operating system. When do we think the Google Pixel 11 will come out Although historically Google used to present its phones in the months of October, the strategy has been changing to have a greater role, advancing the presentations by a few months. We will update this article periodically to add new leaks. We hope that the Pixel 11 will be presented in mid-August 2026during the “Made by Google” event. As we have seen in the latest models, the normal thing is that The launch is at the end of the montha couple of weeks after the announcement. What models are expected to exist? As we have seen in Google internal documents that have been leaked, it seems that the current structure of four high-end devices. They would be the following: Pixel 11 (codename “cubs”) Pixel 11 Pro (codename “grizzly”) Pixel 11 Pro XL (codename “kodiak”) Pixel 11 Pro Fold (code name “yogi”) In addition to this, months later a version 11a will arrivewhich like all those in the A range will have less power and will be more economical, although it will maintain some of the characteristics of its older brothers. What do we know so far Now, we are going to compile everything that has been leaked so far about the different components of the future Pixel 11 family. We are going to touch on what we know about the camera, the processors and other of its internal components. Design, size and screens According to the latest CAD-based renders leaked by OnLeaks and Android Headlinesit is expected that Pixels maintain their design languageand that there are no drastic changes in its appearance. This means that the edges and rounded corners will remain flat. The change that does seem to occur is that screen bezels will be thinner. The iconic horizontal camera module that makes these phones so recognizable will also be maintained, although in this case it seems that the panel will be made of completely black glass. Regarding the dimensions, everything points because they will be almost the same size as the previous generation. The only thing that will change is that they are expected to be a little thinner, going from 8.5 to 8.4 millimeters on the Pixel 11 Pro. As for the displays, we can expect a 6.3-inch LTPO OLED panel, while the Pro XL model will be 6.8 inches. So far everything is normal, no news, although some media such as Mobiflip suggest that Google could release new Samsung M16 OLED panels. This would be a major change, and would mean more maximum brightness and greater energy efficiency. Finally, on the Mystic Leaks Telegram channel, which specializes in leaks, the term is mentioned “Pixel Glow”. This would be an addition of RGB LED lights like the one you can find on mobile phones like those from the manufacturer Nothing. This term was mentioned in a leak where the cameras of the Pixel 11 Pro are also detailed and that the Tensor G6 processor will be used. Cameras and photography As for the main cameras, it is expected that there will be continuity with a triple camera with a 50 megapixel main sensor, an ultra wide angle and a 5x telephoto lens. We will also have improved AI processing for aspects such as cinematic blur, low light video and surely other aspects. Yes, more changes are expected on the front of the device, especially in biometrics. One of the first leaks pointed out that Google could bring back the infrared camera that we last saw on the Pixel 4, allowing the device to have 3D facial recognition at the level of Face ID of iPhones. With this, the Pixel could authorize payments and unlock the screen with your face even in the dark. However, this so-called ‘Project Tuscany’ of the infrared camera has barely appeared in leaks, so it is still early to know if it is true. Processor and memory The processor is possibly the field where the Pixel 11 will change the most. The leaks say that the new Tensor G6 will be manufactured by TSMC, the same manufacturer as the Pixel 10 after years of trusting Samsung, and that a 2 nanometer process will be used. Tensor processors have always followed Qualcomm’s Snapdragon chips, and with this change Google hopes surpass them in power and efficiency. In fact, there are leaks that suggest that the new Google chip will have 15% higher performancein addition to an improvement in thermal and energy efficiency of 30%. This would help a lot to improve the autonomy of the device. The leaks also talk about 12 GB of RAM as a base, with which to help run the advanced functions of Gemini directly on the device in a fluid way. Additionally, we also expect a new Titan M3 security chip. Battery and connectivity We hope that the battery of the next Pixel 11 will be about 5,000 mAh for the base modeland greater capacities for the XL … Read more

Meta and Google talk about nuclear fusion for the future; The short-term reality is that they are pulling natural gas

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Silicon Valley has an undeniable gift for selling the future. If one listens to the great technological leaders, Artificial Intelligence will soon be powered by energy sources worthy of a science fiction novel. Goal just signed an agreement to obtain solar energy directly from satellites in space, while figures such as Sam Altman, CEO of OpenAI, They assure that nuclear fusion It is the great “silver bullet” that will save the sector. However, it is enough to look down from the stars to the earth to find a much smokier reality. To feed the insatiable “energy monster” that AI has unleashed, big technology companies are turning to the technology of the past. As explained from Axiosthe race to dominate artificial intelligence is accelerating at such a dizzying pace that the industry’s ambitious climate goals are taking a discreet backseat. Today, the world’s most sophisticated cloud is being built on a foundation of fossil fuels. The numbers speak for themselves. Far from nuclear fusion laboratories, the actual infrastructure being built in the United States tells a story based on natural gas. Meta’s case is perhaps the most graphic, as detailed in Bloomberg, US utility Entergy Corp. has had to increase its capital spending plan by almost a third, reaching $57 billion, to build 10 new natural gas plants dedicated exclusively to powering the new data campus Hyperion of Meta in Louisiana. This gigantic complex will require more than 7 gigawatts of power, the equivalent of the output of seven large nuclear reactors. Google, the historic champion of clean energy, is not far behind either. An investigation by the market intelligence firm Cleanview has brought to light Google’s partnership with the company Crusoe Energy to develop a huge data center in Texas named “good night“. The project includes a 933-megawatt gas plant built outside the traditional electrical grid. The end of the green utopia? The environmental impact of this installation is not minor, how to explain Guardianthe plant will emit up to 4.5 million tons of carbon dioxide per year. To put it in perspective, this exceeds the annual emissions of the entire city of San Francisco or is equivalent to putting 970,000 additional gasoline cars on the roads. Given this, Google’s official position is cautious. Chrissy Moy, company spokesperson, does not deny the project before the mediaalthough it clarifies that, although they are linked to the campus, they still “do not have a contract in force” to acquire energy from said gas plant. How have they developed in oil pricethe origin of this sudden gas rush is that data centers are putting local power grids under unprecedented pressure, causing consumers to bear the cost of this increased energy competition. To overcome the slow expansions of the public network and the endless waiting lists for permits, Wired points out that data center developers They are choosing to generate their own energy “behind the meter” (off-grid). And in that fast and private strategy, gas is king. Their green mask falls off. This is a serious blow to Silicon Valley’s green image. As you remember GuardianGoogle was once a pioneer in promising net zero emissions by 2030. However, the company itself has had to admit that its carbon emissions have increased by 48% in the last five years due to data centers. Now, those environmental objectives have been internally downgraded to the category of climate moonshots (speculative projects very difficult to achieve). The underlying problem is purely physical. As he reflects Impakterenergy—not chip shortages—is emerging as the real bottleneck for AI. Traditional renewable sources are intermittent, and large language models require devouring electricity 24 hours a day. A systemic problem that is already raising blisters in Washington. The return to natural gas is not an isolated anecdote of a couple of companies. There are currently about 100 gigawatts of gas-fired power in development in the United States destined for data centers alone. Microsoft just signed a deal with oil giant Chevron in Texas, and permits for OpenAI’s Project Jupiter in New Mexico suggest it could emit up to 14 million tons of greenhouse gases annually (triple that of Google’s project). Faced with this fossil avalanche, Democratic senators such as Whitehouse, Van Hollen and Heinrich have sent letters demanding formal explanations from leaders of Meta and OpenAI for putting the country’s climate commitments at risk. The industry defends itself by arguing that it is a necessary evil. Cully Cavness, president of Crusoe, explained that natural gas it is a critical “bridge” and the only power source available today capable of scaling at the pace AI demands. Next-generation clean alternatives will take decades. Meta’s promising agreement to receive solar energy from space will not have a pilot satellite until 2028and its commercial viability is not expected, at best, until the 2030s or 2040s. The same happens with commercial fusion reactors: they will not dump a single watt into the grid well into the next decade. The great paradox of AI. Business magazines celebrate the financial success of this revolution. In their profiles of the most influential companies, TIME relates how Google, under Sundar Pichai, has reached a $4 trillion market value driven by its advances in AI, while Mark Zuckerberg celebrates record ad revenue on Meta by promising systems that will soon “understand the unique personal goals” of each user. Silicon Valley promises that this same Artificial Intelligence will one day help us solve humanity’s great challenges, including climate change itself. But the current paradox is inescapable: in the real world of 2026, to train the most brilliant and avant-garde artificial mind ever created, human beings still inevitably need to set natural gas on fire. Image | Photo by Tasos Mansour on Unsplash Xataka | Solving the mystery of the red balls on high-voltage cables: a simple way to save lives

Google has given them permission to use their AI in classified operations

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Google has given the Pentagon permission to use its AI models in classified military operations, thus joining OpenAI and xAI that They had already signed similar contracts previously. The AI ​​majors are joining the US military apparatus. Anthropic is left alone. what has happened. Google signed an agreement with the defense department last year worth 200 million dollars. This contract allowed the use of Google Cloud infrastructure and AI tools. The news now is that Google has given permission for the Pentagon to use the firm’s AI models in classified systems, for “any legitimate government purpose,” according to the New York Times. Why it is important. Google’s decision to allow the Pentagon to use its technology contrasts with the case of Anthropic, that ended up being blacklisted for refusing to eliminate safeguards against autonomous weapons and domestic surveillance. This set a precedent: accept the conditions or be excluded from the government market. Opacity. Speaking to the New York Times, a Google spokeswoman said the company remains committed “that AI should not be used for domestic mass surveillance or autonomous weaponry without appropriate human oversight.” However, they have not given specific details of the agreement and the fact that it will be used in “classified work” makes us wonder if Google really maintains some control or if it is simply an empty statement. Employees against. At least 560 Google employees have signed an open letter to its CEO, Sundar Pichai, in which they ask him to reject the agreement. Employees argue that AI should be in the service of humanity, not for military purposes that include lethal autonomous weapons and mass surveillance. “The only way to ensure that Google is not associated with such damages is to reject any classified workloads. Otherwise, such uses could occur without our knowledge or ability to prevent them.” New principles. Internal resistance at Google to the use of AI in military contexts is something that has been going on for a long time. In 2018, several employees resigned in protest to Google’s participation in Project Maven, the military program that used AI to identify people and objects to improve drone attacks. Google ended up leaving the project and pledged not to work on AI for weapons, but in 2025 that clause disappeared from its AI principles. Things have changed radically: today, big tech is more aligned with the US military than ever before. Image | Xataka In Xataka | Anthropic faced a long winter on the US “blacklist”: justice has saved it on the horn

Google says that 75% of its new code already comes from machines

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What if much of the software we use every day was already beginning to be written in a different way? AI has been entering programming for some time through the door of the assistants, code suggestions and small automations, but what is beginning to be seen now goes much further. The question is no longer just whether these systems help to write faster, but what happens when a large technology company decides to rely on them systematically. Google has given a pretty clear clue as to where that transition is going. Google’s jump. The figure was put on the table by Sundar Pichai in a blog post linked to Cloud Next 2026. According to Google’s CEO, the company has been using AI to generate code internally for some time and today 75% of all new code is already generated by AI and approved by engineers. The jump is not minor: last fall, that percentage was 50%. In just a few months, Google has gone from already very high usage to placing AI at the center of much of its software production. Precision matters. That nuance is not minor: generated by AI does not mean accepted without human control. Pichai talks about code generated by these systems, but also approved by engineers, a necessary difference to not oversize the data. Richard Seroter, Senior Director, Google Cloud, He explained it to Fast Company noting that that human approval is “fundamental in this area.” Google’s reading is that AI can take on an increasing part of production, but within a flow in which engineers continue to validate, correct and make decisions. Sundar Pichai, CEO of Google Google’s internal turn. Pichai did not present this advance as a simple productivity improvement, but as part of a shift towards “truly agentive” workflows. As he explained, Google engineers are orchestrating autonomous digital teams, launching agents to complete tasks that previously depended much more on direct human work. The example he cited helps measure the scope of that transition: A complex code migration, performed by agents and engineers, was completed six times faster than was possible just a year ago with engineers working alone. The engineer changes places. Google’s thesis is not that the programmer disappears, but that their work is displaced. Seroter explained to Fast Company that, with this new distribution of tasks, engineers can focus on higher-value tasks: systems architecture, design and solving complex problems. In this new distribution, manual code writing loses part of its weight and the ability to direct, review and convert those pieces into real products gains importance. The contrast with the rest of the sector. A Sonar survey from earlier this year notes that 96% of developers acknowledge that they do not fully trust AI-generated code, and that 52% do not always review it for errors before incorporating it. At the same time, the weight of these tools is growing very quickly: the code generated by AI would have gone from 6% in 2023 to 42% in the latest report, with a forecast of 65% for 2027. So we have reasons to say that adoption is ahead of trust. Images | Xataka with Grok | Stanford Graduate School of Business In Xataka | A young man has solved a mathematical problem that lasted 60 years in 80 minutes with ChatGPT. That’s the least interesting thing about the story.

Google will invest up to $40 billion in Anthropic because the new normal for AI is investing in your enemy

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May the rhythm not stop. Amazon announced an investment of 25,000 million in Anthropic a week ago, and four days later Google went even further. The Mountain View Company spoke on Friday of an investment of up to $40 billion in that same company. We insist: this is non-stop. The money doesn’t stop flowing. In less than a week, two of the largest “cloud providers” in the world have committed to investing up to $65 billion in a company that, attention, is a direct competitor in the AI ​​segment. None have done it out of generosity, and here there is a lot of covering one’s back and, of course, circular financing. This is the Google agreement. Google will invest $10 billion now considering that Anthropic’s valuation is between $350 billion and $380 billion. From there, it can invest another $30 billion linked to company performance milestones that have not been detailed. What Google gains. In exchange for that investment, Google Cloud will provide an additional 5 GW of computing capacity from 2027, expanding the agreement that Anthropic had already announced with Google and Broadcom to contract 3.5 GW of computing in the form of access to their TPUs. Google already invested 300 million dollars in Anthropic in 2023, but months later he put it on the table another 2,000 million more and in 2025 another 1,000. Anthropic is already worth a fortune. It is estimated that before this agreement its participation in Anthropic was around 14%, and with this new agreement that participation will evidently increase. Anthropic’s valuation has grown dramatically in recent months, and according to Bloomberg There are offers for a new investment round that would place its value at 800,000 million dollars, already at the level of the 850,000 million valuation that OpenAI is around. Its growth is overwhelming, and it is clear that today She is the pretty girl of the industry. No one could wait. The speed with which these announcements have occurred is motivated in part by the competitive fear between Amazon and Google. Anthropic uses Trainium chips from Amazon and TPUs from Google: it needs both and they both know it. Every dollar those companies put into Anthropic is a business case for Claude’s clients to use AWS or Google Cloud, so it makes sense that both want to solidify that “preferential relationship” with the company that is conquering the enterprise market. The circular financing model as a standard. This week’s agreements consolidate what many already consider as the new normal sector: hyperscalers invest in AI startups, and AI startups spend that money on the infrastructure of those hyperscalers. For example: Google Cloud grew 36% in revenue last year to $58.7 billion and Anthropic was most likely one of its heavy clients. The money Google invests in Anthropic comes back in the form of invoices, and the same goes for Amazon and Trainium. But the investment has another reason. These investment agreements not only seek to strengthen ties with the most promising AI startup of the moment, but also have a significant stake in its shareholders. That’s even more striking, because both OpenAI and Anthropic They hope to go public before the end of the year and if so, Google and Amazon will have “bought cheap” their stake in a startup that is expected to skyrocket exceptionally once it becomes a public company. Once again, this is a bet for the future. But there is also the other big reason: the majority of investors (be they funds or companies) do not want to be left behind in this race and are betting because everyone else is doing it too. It doesn’t matter that AI companies are losing money non-stop: the promise is that there will come a time (2029 or 2030) in which the trend will change. It is not certain that this will happen, of course, but OpenAI or Anthropic play with that card and use it to their advantage. We have the last example in Mythos, an Anthropic model that it’s so good (or so they say and some others) who prefer not to make it public. It’s once again selling expectations… and it works. In Xataka | DeepSeek has just released a model that competes with Opus 4.6. It costs seven times less and runs on Chinese chips

in DeepMind they use Claude, the rest of Google engineers want to and cannot

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Things are hectic at Google. In recent months, some DeepMind engineers have had access to Claude Code and Anthropic models, but in many other parts of the company this tool, which is currently considered the best on the market, has been banned. This has caused strong internal tensions in the company, and is also a sign of something worrying: Google’s AI cannot compete with Anthropic’s at the moment. what has happened. Steve Yegge is a software industry veteran who worked for years at Google. Last week posted a viral tweet in which he explained that after speaking with a current manager, he was concerned about the adoption of AI tools in this company. “The bottom line is that Google engineers have about the same adoption of AI as John Deere, the tractor company,” he said. Or what is the same: one of the most cutting-edge technology companies in the world was being anything but cutting-edge in its use of AI. Demis Hassabis gets angry (and a lot). Recent Nobel laureate Demis Hassabis, head of DeepMind, criticized Yegge’s tweet and told him to stop spreading nonsense. “This publication is totally false and is simply clickbait,” he said. Yegge returns to the fray. The engineer spoke in the following days with more current Google employees and discovered more things that he told in another long tweet. According to their conversations, the internal adoption of AI at Google follows a conventional pattern: 20% reject it, 60% use it in a basic way, and 20% take advantage of it intensively. Either you let me use Claude Code or I’m out of here.. But there was something else: some engineers are prohibited from using Claude Code because it is a competing product, but the vast majority do not have access to those tools because the company wants them to use Google’s tools — that is, the Gemini models in Gemini CLI, its alternative to Claude Code. According to Yeggewhen they tried to force DeepMind engineers to stop using Claude Code and Anthropic models, they refused to stop using the tool and threatened to leave the company. Internal sources of the company confirmed the data published by Yegge in a published news on Business Insider. Sergey Brin gets going. This week, The Information public that Sergey Brin has sent an internal memo to DeepMind engineers and researchers and confirms what was already being said. “To win the final sprint, we must urgently close the gap in agentic execution and turn our models into world-class developers,” the Google co-founder wrote. According to this data, an “assault team” has been created with the direct participation of Brin himself and DeepMind’s CTO, Koray Kavukcuoglu. That statement makes it clear that Gemini is below Claude in capabilities, because otherwise there would be no talk of “closing the gap.” Google and fragmentation. It’s not just that Claude Opus and Claude Code are now better than Gemini and Gemini CLI. Es que además esto ha dejado claro que en empresas tan grandes como Google la fragmentación operativa puede llegar a ser un problema grave. That some can use something that others cannot, and that worse tools are forced just because they are their own, can end up generating internal tensions, as has happened. That is what Google now seems to want to remedy so that all its employees row together. Another victory for Anthropic. All this controversy does nothing but favor Anthopic, which has managed to take the lead in this race – rather marathon – of AI. That the engineers at the prestigious DeepMind prefer their AI platform to Google’s own is an unequivocal sign that today Anthropic is ahead for AI experts. Image | Alex Dudar In Xataka | The tech industry is spending billions of dollars on GPUs for AI. 95% are inactive

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