memory

What is memory in AI and how to make the most of it and use it correctly

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Let’s explain to you what is AI memory and how to use it well to get the most out of it. This is a feature that is already included in practically all the main chatbots with artificial intelligence, and it helps you give them context about you and apply it in their responses. If you often use bots like ChatGPT, Gemini or Claude, you may have noticed that there are things that are not remembered from one chat to the next. Or it may be the other way around, you may be surprised that he remembers a specific detail that you didn’t expect him to remember. This is precisely due to the way in which the two types of memory that AI has work. What is AI memory When we talk about memory in artificial intelligence, we are referring to an internal system that these chatbots have to save information about you between conversations. Not only within the conversations themselves where the context is maintained, but also between different conversations. For example, ChatGPT, Gemini or Claude may remember details such as the city where you live, your profession, or even your personal tastes. They can also remember if you have pets, what pets you have, your projects, the topics you usually write about, your style, and many other preferences. This memory is used to contextualize the answers that the AI ​​gives you based on your data that may make you prefer one type of response or another. So, even if you start a conversation from scratch in each chat, there will be some specific information that continues to be remembered so that you don’t have to write it over and over again. What types of memory does AI have? Artificial intelligence does not treat all the memories it has about you the same, and we can distinguish between two different types of memory. Each of them has its specific use. They are the following: Saved or explicit memory: This memory is like a kind of personal file about you that the AI ​​generates by saving specific data about you. It can do this automatically when you mention something from your context, like your job, but you can also ask it to remember something about you with a command like “remember that I’m a vegetarian.” History-based memory: Instead of saving specific data, some AIs can also consult the log of your previous conversations. This does not generate a profile of you, but rather they analyze the content of everything you have said before to give you more coherent answers. In practice, the difference is that the saved memory is that in which the AI ​​saves the elements that you ask for or those that it considers appropriate, and from them it generates a file about you that it updates. So, you then use that knowledge to generate the answer. Meanwhile, history-based memory is as if the AI ​​could reread its notes from previous conversations before responding to you. If you don’t want the AI ​​to remember a conversationAI systems also have an incognito mode, like in browsers. With it, chatbots will neither save data about you that you write in it nor will they remember the chat in the future. This conversation will not be saved in your history either, although the data you write does end up on the company’s servers. Why AI “forgets” by default An artificial intelligence language model like the one behind ChatGPT, Claude or Gemini, only processes what is within the active conversation. When you ask something, it will take into account everything you have asked it during this conversation, and once you close the conversation or open a new one, the previous one is forgotten or not taken into account. This is not a mistake, but a deliberate decision. On the one hand, it allows you to maintain the context of everything you are asking within the same conversation, while in each new one you can start from scratch without taking into account everything written in another chat. Beyond the practical reasons there are also the technical ones. Maintaining the context of millions of simultaneous chats permanently would require a large consumption of data and energy. Additionally, in the event of a security breach, if the AI ​​has already forgotten past conversations there will be fewer risks to users’ privacy. AI chatbots usually allow you to manage memory that they have stored. On the one hand, you will be able to edit or delete the explicit memory with the file they have made about your data, and on the other hand, you will also be able to configure how the history memory is managed. There is an important detail that should be remembered: Deleting a chat does not delete the saved memories that were created in it. They are two different types of memory. If you delete a conversation in which you have told ChatGPT that your hair is blue, the AI ​​will not refer to what you have talked about with it and will have forgotten it, but if it has saved in its explicit memory that your hair is blue, this is something it will always know in all the chats you start with it. Additionally, many AIs have a system to import memory from other competing AIs. so that you can pass from ChatGPT to Claude either from Claude to Gemini taking you from one to another explicit memory with everything an AI knows. How to make the most of AI memory AI memory can save you a lot of time when you use it well, but if you leave it to its own devices it can also accumulate incorrect, outdated or useless information, and cause frustration or incorrect answers. For example, I once asked ChatGPT to add a cumquat to an image, and until I removed it from memory, for months it was adding cumquats to all the images I asked it to. Therefore, it is important that periodically review … Read more

What science knows about how a hazelnut affects your memory

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A nutritional recommendation that we have been told for a long time is that every day we should eat a handful of nuts to be able to maintain good health in the long term. Here, experts specifically point out that it is not enough to eat walnuts or almonds separately, but the key is to consume mixed nuts to prevent cognitive decline. More and more voices. This is what genetic epidemiologist and microbiome expert Tim Spector has shown, who has pointed categorically that “the best way to help your brain health is to eat mixed nuts.” The problem is that, from a scientific point of view, although there is evidence that reinforces this idea, there are also others who do not think the same and do not see that nuts are an infallible prevention against neurodegeneration. It is studied. To understand how a pistachio or hazelnut can affect our memory, we must first look at the intestine. Here, a comprehensive systematic review published in 2024 in Signal Transduction and Targeted Therapy details how the intestinal microbiota It not only digests food, but regulates the functions of glial cells in the brain, becoming a therapeutic target for neurodegenerative diseases. And it is no wonder, because glial cells act as the defense system that our brain has. How it works. The mechanism proposed here mainly focuses on the theory that consuming the fiber and polyphenols present in nuts causes our intestinal bacteria to ferment them and produce short-chain fatty acids. These metabolites are capable of passing directly to our brain, reducing neuroinflammation and promoting neuronal plasticity. In fact, recent analyzes of more than 500 studies confirm that a healthy microbiota is directly associated with better connectivity in areas of the brain dedicated to memory, attention and emotions, such as the amygdala and frontal cortex. In the long term. The clearest evidence we have to date connecting nut consumption, microbiota, and cognition comes from Spain. Here is a prospective study published in the journal Age and Aging by researchers from the University of Rovira and Virgili, where it was analyzed to 747 overweight patients with metabolic syndrome for six years. Based on this sample, they began to give different portions of 30 grams of nuts to the patients and waited to see what would happen. The results suggested that with 3-7 servings of nuts a week, a significantly slower cognitive decline can be maintained. Beyond. The most interesting thing was the “how” since when analyzing the participants’ feces, they saw that the consumption of nuts increased the Shannon index, which is a marker of how rich our microbial life is in the intestine. In this way, it was seen that the consumption of nuts caused a increase in bacteria that are very beneficial for us, such as Lachnospiraceae UCG-004whose abundance was directly linked to better mental performance. Why ‘mixed’. The insistence on a variety of nuts has a microbiological basis, since systematic reviews show that each type of nut feeds slightly different bacterial families. In this way, while almonds can favor certain strains of bacteria after four weeks of consumption, walnuts, hazelnuts or pistachios enhance different ones. That is why, if we feed all the strains, diversity will be maximized, which is what interests us to generate a greater variety of neuroprotective metabolites. It’s not magic. At the moment, all the studies we have on the table are observational, so they demonstrate a strong association between eating nuts and cognitive improvement, but it is not absolute causality. Here, a meta-analysis of 2024 published in Frontiers in Nutritionwhich reviewed 5 clinical trials with 928 adults, did not find a significant overall effect of nut consumption on cognition in the short or medium term. But more recent individual trials also show some doubtssince, while a dose of 50 grams per day of almonds failed to improve long-term memory in prediabetic adults according to a study in Nutrition Journal, another similar test in the Asian Indian population did report improvements in executive function after 24 weeks. Images | Pratik Bachhav In Xataka | The pistachio has worked an unexpected wonder: generating thousands of jobs in the fields of Castilla-La Mancha

Samsung has made a lot of money from the memory crisis and its employees wanted their cut. Result: bonus of $340,000

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Employees at Samsung’s chip division were in high gear. And it is logical: your company is becoming gold thanks to the rise of data centers for AI. The demand for memory chips is extraordinary and that has caused Samsung’s market capitalization to skyrocket over a billion dollars. The company, yes, was being very selfish, but the threat of a strike He has made her see reason. The bonus of the crisis. Samsung Electronics workers have ratified a multimillion-dollar compensation agreement. One that will see employees of the semiconductor division receive an average bonus estimated at 513 million won (about $340,000). Agreement in extremis. The vote was approved by 74% of members of the majority union, and was closed in extremisbecause there were 90 minutes left before an indefinite strike began that threatened to paralyze this giant’s supply chains. The risk was too high. This agreement avoids a scenario that would have been catastrophic for the AI ​​industry. Samsung is the largest memory chip manufacturer in the worldand its modules power everything from mobile phones and electric vehicles to the GPUs used in AI data centers. Considering that the market is already stressed by the memory crisis and demand that far exceeds supply, adding this bottleneck would have had unforeseeable consequences. Only Saudi Aramco surpasses Samsung in estimated operating profits for 2026. Source: Bloomberg. Memory chips are pure gold. Samsung is on its way to close one of the most profitable years in its history, and its semiconductor division already indicated that its profits had multiplied by 48 in the first quarter of the year, an absolutely extraordinary figure. She is not the only one taking advantage of this phenomenon: SK Hynix and Micron They have broken the trillion-dollar market capitalization barrier for the first time. Some so much and others so little. Although the agreement has avoided a logistical disaster, it has also caused a very uncomfortable situation internally. The bonuses are linked to the financial performance of each business unit, which means that the 28,000 members of the chip division have benefited significantly, but the rest of the company has not. The differences are clear: Engineers in that division will receive bonuses of up to 600 million won ($400,000). They will share 40% of the total allocated as bonuses. Personnel in divisions such as home appliances or telephony will receive a testimonial bonus of just 6 million won ($4,000). They share 60% of the bonus, but there are many more in number, about 260,000 in total. The average salary of Samsung employees in 2025 was 158 million won (about $105,000) according to internal company information published in March. Unions divided. This asymmetry of 100 to 1 has caused great tensions to appear between departments, and this has also been noted in the negotiation and conversations in the union. While the majority bloc (which included the majority of workers in the semiconductor division) supported the agreement with more than 80% of the votes, the secondary union, which brings together employees from other divisions, rejected the document with only 21% of votes in favor. TM Roh takes action. The situation is so worrying that TM Roh, head of the device division, has sent an internal statement to try to calm things down. He has admitted that the results of the negotiation have left thousands of employees feeling “alienated, dispossessed and hurt by the company.” Top management has promised to monitor the conditions of each unit, but while Samsung has managed to control the chaos in its factories, it could have an even more disturbing problem on its hands. Image | Wikimedia Commons (Choi Kwang-mo), IntelUnsplash (Liam Briese) In Xataka | Samsung has just achieved a milestone that has not been recorded for eight years. The problem is that it is a mirage

Giving seven times more vitamin D during pregnancy improves children’s memory at 10 years old. The problem is in the fine print

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During pregnancy, the recommendations of supplementation They are an area where science advances with lead feet, since the most important thing is always to guarantee safety. One of these supplements that is heard the most is vitamin Dtraditionally known for its role in calcium absorption and bone health, but which has been in the spotlight for years for its possible impact on neurodevelopment. A new study of Danish origin has put its objective on this statement to be able to clarify what happens when a mother supplements with vitamin D during pregnancy. Through its publication in JAMAtells how, to achieve good results, almost 500 children were analyzed for several years until finally being able to see if they had cognitive improvement during their childhood. What were they based on? To understand this discovery we have to go back in time to a randomized clinical trial titled as COPSAC2010whose initial results were published in 2016. This trial sought to evaluate whether vitamin D prevented the risk of suffering from asthma or persistent wheezing in babies, and to verify this the researchers divided the mothers into two groups from the 24th week of gestation: One group would receive the standard recommended dose of vitamin D of 400 IU per day. The other group had a “megadose” of vitamin D of 2,800 IU daily. The discovery. Taking advantage of this valuable group of 498 children, the research team decided to get more out of it, since when these children reached 10 years of age they were subjected to rigorous cognitive tests to see if the fact of having given vitamin D to their mother during pregnancy had left its mark on their brain. In this way, two objectives were covered with a single investigation. Here the results revealed that children in the high supplementation group showed a modest but significant improvement in verbal and visual memory compared to the children of mothers who took the standard dose of vitamin D. Although something important to note is that it puts to rest any idea that this supplementation is a machine to “create geniuses”, because there were no differences in IQ and they only saw that the ability to retain information was improved. The small print. Given such a finding, it is tempting to think that all pregnant women should multiply their vitamin D intake to give their children an advantage over others. But here we must pay attention to different problems, such as that the original trial was designed to measure respiratory problems and not neurological development. This means that drawing conclusions from here reduces the statistical robustness of the discovery. But this is not the only problem, since we have seen that the effect is “modest” without seeming to give children a great advantage. And furthermore, the study is based on women who already had normal vitamin D levels before the study, so it is not clear how this dose would act in populations that truly have some type of chronic deficiency of the vitamin. Will there be changes? At the moment, these studies do not justify the need to recommend that all pregnant women supplement their diet with vitamin D, as is the case with other supplements such as folic acid. The real value of this research is not to give us an immediate new prescription, but to open the door to future clinical trials specifically designed to unravel how what happens in the womb continues to shape our brains a decade later. Images | amylla battani In Xataka | We have been sending pregnant women to bed for decades as a precaution. Science has just proven that it is a big mistake

Chinese manufacturers of OLED panels for mobile phones face an enemy they did not expect: memory shortages

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Chinese companies whose business is based to a greater or lesser extent on the manufacture of OLED panels for mobile phones They are suffering. BOE, Visionox, Tianma or TCL CSOT are some of the companies that the shortage of memory chips has placed in a very delicate position. In fact, the market for OLED matrices for smartphones is going through its worst quarter in years, according to DigiTimes Asia. Global shipments fell 12% year-on-year and 20% compared to the previous quarter during the first quarter of 2026, according to data managed by the consulting firm. UBI Research. A priori it might surprise us that the memory market is degrading the business of Chinese manufacturers of small format OLED panels, but if we dig beyond the surface it is easy to understand precisely what is happening. And what is happening is that Android mobile phone manufacturers are buying many fewer organic matrix screens from their Chinese suppliers because they need to offset the increase in memory prices by reducing the cost of the screen. This scenario mainly affects entry- and mid-range Android smartphones, which are the ones that mostly opted for moderately priced OLED matrices manufactured in China. High-end Android terminals and iPhones usually have OLED screens from Samsung Display or LG Display, although Apple also uses BOE for some models. South Korean manufacturers are taking this blow much better The origin of this problem lies in a decision made by SK Hynix, Samsung and Micron Technology, the three companies that control more than 95% of global DRAM productiona year ago. The rise of data centers for artificial intelligence (IA) has skyrocketed the demand for HBM memories (High Bandwidth Memory) that coexist with GPUs. For the three large memory manufacturers, HBM chips leave a greater margin than conventional DRAM memories, which is why they have focused on the production of the former and have largely sacrificed the latter. The most surprising thing is that this situation has triggered an asymmetric problem This strategy has caused the price of DRAM and NAND memories to increase sharply, but the most surprising thing is that this situation has triggered an asymmetric problem. As we have seen, sales of Chinese OLED panel manufacturers have fallen, but Samsung Display and LG Display are taking the hit very well. And they are doing it because their most important customers are Apple and Samsung Electronics. These two mobile phone manufacturers work with wide margins and have agreed long-term supply contracts with Samsung Display and LG Display, which gives them greater room for maneuver. At the moment they have not been forced to cut the cost of their screens. Be that as it may, market shares during the first quarter of 2026 speak for themselves, according to Korea Herald. Samsung Display led the global market for OLED panels for smartphones with a share of 44.4%, up from 42.8% in the same period in 2025. LG Display reached 9%, rising from 7.6%. Both gained quota despite the fact that its absolute shipments also fell. Among Chinese companies the picture was mixed: BOE maintained the largest Chinese share at 16.3%, and Visionox rose to 10.7% from 9.3%. Tianma fell to 9% from 12.1%, and lastly, TCL CSOT fell to 7.8% from 9.8%. Image | Xataka More information | DigiTimes Asia | Korea Herald In Xataka | The US remains committed to stopping China. Now it has targeted the second largest Chinese chip manufacturer

memory no longer wants to live in each machine

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For many of us, memory shortage It may first sound like a problem close to domestic consumption: RAM modules, components and devices conditioned by an increasingly stressed demand. But the phenomenon that The Next Platform describes also points to the other end of the chain. It reaches the large technology companies that train, deploy and offer artificial intelligence models in data centers. The cloud is not an abstraction, and its appetite for memory is forcing us to think about something that until recently seemed unintuitive: perhaps each machine should not depend only on the RAM it has inside. Memory changes places. The underlying idea is to transfer to memory a logic that is already familiar to us with storage. Today, data can live on the computer itself, on another machine on the network, or on a shared system accessed by several servers. The next generation of servers could treat RAM in a similar way: keep a portion local to each machine, but bring a much larger portion to large external systems capable of distributing capacity according to the need of the moment. From there comes what some call “memory godbox”: a large box or cluster of memory that is no longer tied to a single machine. The CXL moment. For years, Compute Express Link has advanced slowly, almost as a promise for more flexible architectures. The technology was introduced several years ago, but current memory pressures are giving it a much more favorable context. CXL provides a coherent interface to communicate processors, memory, accelerators and other peripherals, relying on PCIe. The final idea is simple to tell, although complex to execute: separating resources without breaking the feeling that they work together. CXL didn’t arrive all at once. It was first used to expand the memory of a server using modules connected to compatible PCIe slots. Then, with CXL 2.0, pooling appearedthat is, the possibility of pooling memory in a common pool and assigning it to different machines as needed. The limit was that that memory could be reallocated, but not truly shared between two systems working on the same data. CXL 3.0 It is the point at which that frontier begins to move, because it introduces broader topologies and shared memory between machines, although with certain technical limitations. The underlying problem. According to The Next Platform, AI does not fall short only because of a lack of calculation, but also because of a lack of memory. The HBM that accompanies the GPUs is very fast and is designed to power these chips at high speed, but its capacity is limited and its cost is high. In training, the big challenge is usually processing enormous amounts of data to build the model. In inference, however, we talk about something else: using that already trained model to respond to a request. The memory of the conversation. Each response from a language model is built little by little, token by token. In order not to recalculate everything above at each step, the systems save a type of working memory called KV cache. The Next Platform explains that previous attention vectors are preserved there, which help the model to continue taking into account the context while generating the response. The problem is that in services with many users, this cache can grow to occupy enormous amounts of memory, even more than the model itself. It’s not just theory anymore. This idea no longer lives only in technical documents or architectural promises. The Register mentions Panmnesia, Liqid and UnifabriX as companies working on systems to take memory off the server and make it available to multiple machines. Some do it with CXL switches, others with large reserves of DDR5 that can be distributed among different hosts. The Next Platform adds the case of Enfabrica and its Emfasys system, designed for inference and capable, according to the media, of reaching 18 TB of DDR5 per memory server and 144 TB in a full rack. The conclusion is simple: the industry is not only looking for more memory, it is looking to place it in another way so that AI can take better advantage of it. Images | Xataka with Nano Banana In Xataka | The ‘Chinese Netflix’ has designed a plan for AI to generate the majority of its content within five years. It sounds risky

The RAM memory crisis is complicating the task of upgrading a PC, but there are alternatives if you don’t want to spend a fortune

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Straight to the point: if you want to upgrade or build a PC right now, you’re going to have to dig deep into your pocket. The price of RAM it’s shot right nowsomething that It is already being extended to storage as well.. But what if you have no choice and need to upgrade your PC or a new one in parts? Assuming that RAM is going to cost you more than it did a year ago, There are alternatives to spend less money. There are certain aspects to take into account that we will talk about a little further down, but in order not to spend a small fortune, the most economical option is to get some 32GB DDR4 RAM like these from Corsair: we have them available for 199.99 euros. CORSAIR VENGEANCE LPX DDR4 RAM 32GB (2x16GB) 3200MHz CL16-20-20-38 1.35V Intel AMD Desktop Computer Memory – Black (CMK32GX4M2E3200C16) The price could vary. We earn commission from these links An especially interesting option if your PC is already a few years old Let’s go in parts. The first thing to take into account is the price, obviously. The price history of this article tells us that these RAM memory modules They have been between 50 and 60 euros before the month of August last 2025. Obviously, if we compare those prices with what it costs now, it is obvious that the same product costs much more. But of course, it must be seen from the perspective of the current price crisis suffered by these components. It’s not all bad news. These same modules They cost more than 280 euros in February of this yearan absurdly high price. So are they worth buying right now? The situation with the RAM does not seem to be getting better in the short term, but it is 32 GB of DDR4 RAM, which means that you have to take some things into account before buying them. If you already have a PC at home and it is already a few years old, then DDR4 RAM is a very interesting option. It is much cheaper than DDR5 which, despite offering more performancehas an even more skyrocketing price. In addition, this DDR4 memory offers more than enough performance for simple tasks such as office automation, Internet browsing or even undemanding games. DDR5 RAM prices are still high, but not as high as a few months ago Now, imagine that you want to build a PC and you want the most current so that it lasts longer. Here the ideal would be to go for DDR5 RAM, but the problem is, as you can imagine, the price. Among everything that there is right now, we also have from Corsair these two 32 GB modules per 399.99 euros. Yes, they have a very high price (more so if we take into account that they cost around 120 euros last year), but they have reached over 500 euros. CORSAIR Vengeance DDR5 RAM 32GB (2x16GB) up to 6000MHz CL36 Intel XMP 3.0 Desktop Computer Memory – Black (CMK32GX5M2B6000C36) The price could vary. We earn commission from these links Keep in mind that your motherboard and processor must be compatible with this memory, so if your PC is a few years old, you will also have to update these components. Now, in return, we will have a longer PC and that will also allow us to upgrade to other components in the future without spending too much. Other Corsair RAM memories that may interest you CORSAIR Vengeance DDR5 RAM 32GB (2x16GB) 6000MHz CL36-44-44-96 1.35V AMD Expo & Intel XMP Desktop Computer Memory – White (CMK32GX5M2E6000Z36W) The price could vary. We earn commission from these links CORSAIR VENGEANCE RGB PRO DDR4 RAM 32GB (2x16GB) 3200MHz CL16-20-20-38 1.35V Intel AMD Desktop Computer Memory – Black (CMW16GX4M2C3200C16) The price could vary. We earn commission from these links CORSAIR Vengeance DDR5 RAM 32GB (2x16GB) up to 6000MHz CL30 AMD Expo Intel XMP 3.0 Desktop Computer Memory – Gray (CMK32GX5M2B6000Z30) The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | corsair In Xataka | DDR4 or DDR5? What RAM to choose so as not to pay even more than necessary in the middle of the price crisis In Xataka | Buy and assemble your PC in parts: guide to choosing processor, SSD, RAM and graphics card

Researchers point out that the first 1,000 days in a person’s life are key to our life and memory

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Something quite popular among society in general is that the youngest children are true sponges that absorb everything that is around them, this being fundamental for their adult personality. Here are some experts who specifically point out that the first 1,000 days of life are They are practically everythingsince a temporary window opens that can largely determine the intelligence, health and social skills of the future. But… is it like that? There are questions. Scientific evidence calls for pressing the brakes, since, although the overwhelming importance of these first stages of life is not denied, researchers are beginning to warn against absolute determinism. And all this because, although the first 1,000 days are a critical window, the next 1,000 days They are just as crucial. The first days. What happens up to two years in the brain, the truth is that it is fascinating, because here some research they point specifically because early feeding influences physical development and long-term metabolic health. But in addition, the attachment bond with an adult figure traces the physical, neural, cognitive and socio-emotional trajectories, meaning that, if this attachment does not exist, many problems can arise. But also, listening to caregivers, such as parents, speaking, singing and interacting, lays the foundations for the neural networks linked to language and the communication skills that we will have in the future. The effect on memory. We often think that memory is the adult ability to remember knowledge that we have ‘put’ in our brain ‘drawer’, but in childhood memory It is a basic neural learning mechanism and identity construction. In these cases, babies record constant sensory and emotional information, such as smells, voices, affective responses, and the receiving context. And precisely, experts point out that if at this stage the child is correctly stimulated and takes in the memories well, the brain “trains” its synaptic circuits, making learning new skills much easier in the future. It is literally as if a base is being generated (which we will not remember) to generate new skills in the future by generating very strong neural networks for future memory. We don’t have to be absolutists. Saying that only those 1,000 days determine cognitive and social development is a mistake, since the literature tells us that we are not facing a “closed window”, since human brain plasticity is amazing and does not have a switch that automatically turns off when two years have passed. From here, what surrounds the little ones in the house, the education they receive and also the social interactions continue to have a profound impact beyond 24 months. That is why simplifying the concept to the extreme can lead to a biological determinism that diverts attention from other equally important stages of childhood. Everything that happens. This is where the most recent evidence comes in so we have to focus on what they can be. the “next 1,000 days” which is the period that goes from 2 to 5 years. This preschool stage is not a maintenance period, but rather it is a new golden window of opportunity, since during these years complex motor skills are triggered when starting to walk, for example. But beyond this, language also goes from isolated words to a complex grammar and the ability to narrate and reason. And even social-emotional skills such as empathy or impulse control are also experiencing rapid growth. This is why promoting an environment of safe care and healthy habits in this period is capable of significantly altering and improving development, compensating for the deficits that may have occurred in the first years of life. Images | javi_indy on Magnific In Xataka | One baby, three (biological) parents: a promising fertilization technique that, for now, we will not see in Spain

Samsung, SK Hynix and Micron are already working on DDR6 while memory prices continue to skyrocket

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The market is going through an unprecedented component crisis. In 2020, a perfect storm caused there to be no chips, but it was known that the storm would pass sooner rather than later. The problem is that the storm of current NAND chip crisis It doesn’t look like it’s going to give us a break in the short term. All memory manufacturers have focused on creating chips for artificial intelligence platformsbut in the meantime, they continue developing DDR6 memories. It will take a long time for consumers to be able to taste them. In short. DDR5 memory has not had a normal life cycle in the consumer market. It was expensive and, when prices began to drop, AI hyperscalers arrived to take over everything available. This is how we have reached a situation in which just 32 GB exceeds the 400 euros: all production is focused on hyperscalers and there are no ‘pills’ for consumption. However, that doesn’t mean that DDR5 has done poorly, not at all. Samsung or SK Hynix they are breaking records and, for them, things are working out great. That is why, together with Micron, they are starting to prepare the ground for the new technology: DDR6 memories. Last year JEDEC (the consortium that is responsible for standardizing DDR, LPDDR and NAND microelectronics) already detailed the standard LPDDR6 and it seems that the fringes are being polished for DDR6. Now, as we read in Wccftechthe big three of memory They are warming up for the near future with their new generation. Performance leap. These new memories will not only be faster. It talks about speeds minimum of 8,800 MT/s according to that JEDEC standard, but can reach up to 17,600 MT/s as the technology develops. They would practically double the performance of DDR5 and the trident of the RAM it takes a few months working together with Intel, AMD and Nvidia in the prototype validation processes. But it’s not just about pure speed, but about architecture. About 2×32-bit DDR5 RAM we would pass to a 4×24-bit subchannel architecture. It is something that brings challenges when it comes to managing temperatures and consumption, but also presents a clear advantage: improved parallelism and greater use of bandwidth. Plate change. For players, that is going to be a little problem, since an architecture change usually entails a board change. And, if the rumors and leaks are true, that plate change will be assured. The reason is that there are sources that they point that CAMM2 is going to gain a lot of weight with DDR6, especially in laptops and compact computers, and could gradually displace the traditional DIMM in certain segments. If this doesn’t tell you anything, visualize how RAM is mounted on a current motherboard. These are modules that are mounted perpendicular to the plate, something that has been around for years and that, although it has been functional for a long time, presents friction when you want to reach certain speeds. On the contrary, we have M.2 SSDs that are mounted in parallel, just like the LPDDR memory of laptops. Precisely, this is what these DDR6 tablets would be like, so manufacturers would have to redesign their boards to adapt either from the front or by adding the connectors to the back of the plate. Context. You probably have two questions in mind: how much DDR6 memory will cost and why the rush. We cannot answer the first question, but for the second question we can guess where the shots are going. We have commented that DDR6 RAM will come hand in hand with a notable improvement in bandwidth, and that is something that the artificial intelligence industry is desperately looking for. Until now, there were many powerful GPUs in data centers to train AI models, but in the era of Agentic AIwhat is needed is equipment more similar to a traditional PC. This is why Intel and AMD sand they are moving to mass-produce their professional processors again, and that is where DDR6 memory would make perfect sense thanks to that improvement in bandwidth. For inference, it’s great. It is already being tested with an arrival on the market for 2028 or 2029, but it will be the hyperscalers who monopolize all DDR6 memory production. Only when the voracity of data centers calms down will the modules begin to reach the mass consumer market. The translation is that Micron, SK Hynix and Samsung are already working on it, but to be able to build a desktop PC with DDR6 there are several years ahead. In the meantime, I’d say we can settle for DDR5, but looking at the prices… Image | Luan Gjokaj (edited) In Xataka | The RAM crisis is destroying all of Valve’s plans with its Steam Machine

how to migrate memory of everything other AIs know about you to Gemini

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Let’s tell you how to migrate memories from Claude or ChatGPT to Geminiand thus perform a migration of a artificial intelligence to another. Gemini has launched a function that allows you to import memories from Claude, ChatGPT or any other AI you’ve been using. This is a function that It was already available in Claudeand now it has been Google that has incorporated it. With it, you can import all the important data about you that any AI chat will save to personalize the responses to your context. Because yes, Claude or ChatGPT can remember things like your musical tastes, where you work or if you have pets. And why can it be useful to import these memories into Gemini? Well, because if you have decided to start using Google’s AI, you can make it know about you all the specific data that your other AIs use to personalize its results and adapt them to you. This way you won’t have to learn it from scratch conversation by conversation. Import memories from another AI to Gemini To use this option, you first have to enter Gemini through its application or its website, and log in with the account where you want all the information you will bring from other AIs to go. in here, enter the option Settings and help that will appear in the left column on the website. Once inside, you have to click on the option Import stored data to Geminiwhich will appear to you. In the Gemini mobile appwhat you have to do is click on your profile image, and in the drop-down menu is where you will find the option to Import stored data to Gemini. This will open the import memory screen. In it, above you have a prompt that you must copy to use in another AI to extract the memories, and below you will have a field where you have to write the imported memory that generates the prompt above. Therefore, here click on the button Copy of the text you have above. Now, the text that you have copied in Gemini you have to paste it in a chat with the AI ​​where you want to extract the memories. Just paste it exactly as you have it into ChatGPT, Claude or something else, and send it. This will make the AI generate a code with all the memories what he has on you. You will have to copy this code and stick it in the Gemini field what’s in the window we opened before. With this, Claude will recognize the memories and start saving them internally. Additionally, you also have the option to import the conversations as a Zip file. To do this, you will have to go to the other chatbot’s settings and look for the option to export your history as Zip. Google has a tutorial with the process for ChatGPT and Claude.

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