Human

The human brain works as a predictive machine. The question is if a Cyborg future awaits us: 1×22 crossover

by

We have a new episode of Crossover, the 1×22, and attentive because this time the topic is so interesting and has given so much that we have dedicated the entire program. Thus, this time we have been able to interview the Dr. José Sánchezneuroscientific and disseminator, which investigates How the brain worksemotions and Intelligence. In this interview of just over an hour Sánchez makes us an introduction to his experience with this area and then start with a unique idea: that the brain is a predictive machine. It also speaks to us, of course, artificial intelligence – the generative is of course A predictive machine– And with human emotions, but then the thing gets interesting. And he does it because with him we chat of the impact, present and Neuralink future and brain chips of other rivals. How will that impact our future? Will we end up being something like Cyborgs? We do not know, but before that happens, there is another debate we are talking about: that of social relationships and how these advances can affect mental health. Without a doubt, a spectacular episode that we hope you enjoy as much as we have enjoyed seeing it. Do not hesitate to comment, please, both here and in the YouTube channel itself. On YouTube | Crossover

The generals in the Ukraine War have ceased to be human. There are drones giving drones before attacking

by

The technological jump that is being given in the Ukraine War exceeds any forecast to a Unexpected speed. Of machines capturing and prisoners He went to drones attacking on your own In weeks. Now, these robots crews capable of coordinating on their own have a devastating weapon that makes them more unpredictable: an AI capable of generating military controls between algorithms, and several programs that multiply their scope. The jump of the swarms. Yes, the swarms of driven drones by artificial intelligence They are moving from promise to operational practice: software as Nemyx, from Auterionconverts compatible platforms into a coordinated force that maneuver, decides and attacks collectively to saturate defenses. In fact, United States will send 33,000 “attack kits” Updateable to Ukraine, a symptom that armies assume that intelligent volume (many cheap, connected and freelancer) can tip the balance on the battlefield. How they work. Actually, the key is not a “more capable” drone, but many drones that cooperate Like an organism: They share information, roles are distributed (one being the closest to a “general”), they reconfigure before interference and elude defenses with coordinated routes and attack times. Thus, a single operator controls multiple vectors, decision -making is automated at the tactical level and the resulting “precision mass” overwhelms radars, missiles and anti -aircraft artillery with whiter than they can manage. The Ukrainian ecosystem. Had the weekend The Financial Times than auterion has presented his “drone swarm strike engine” (Nemyx) as an app on his operating system to add drones to swarm with A simple updatewhile Helsing (next to Systematic) announces swarm capabilities directed by Ia. In parallel, Ukrainian companies Like Swarmer They claim to have intervened in 82,000 operations, with software that allows a group to approach Russian positions and choose autonomously The time to attack, materializing a trend initiated in 2016 with microdrones launched by F-18 and accelerated by Chinese demonstrations of great swarms since 2017. The Ukrainian advantage. Ukraine has A massive file operational video (including a classified base called Universal Military Dataset) that feeds models of autonomy and learning, an asset that its companies consider decisive. In addition, the opening of software and standards allows Integrate platforms In “weeks or days”, not in “months or years”, lowering the entrance barrier for diverse manufacturers and shortening the innovation cycle against adversaries. Ukrainian drone R18 Of the waves to learning. For his part, Russia It has improved Its effectiveness grouping long -range Shahed attacks, but that looks more like coordinated waves than a “intelligent” swarm. The new generation introduces Learning and coordination Distributed, eliminates the dependence of a single communications relay and allows each drone to adjust its behavior in real time, so saturation is not only quantitative but also tactically adaptive. Cust manufactures several drones of the Skvorets FPV family, some with a high degree of automation The Russian jump. Plus: Russia has announced An advance that could transform war with drones: thanks to the orbit systemdeveloped by the Cust consortium (a network of More than 200 startups That has broken with the slowness of the traditional defense industry), the FPV operators would no longer have to approach the front. Instead of risking artillery or kamikaze drones, they could control devices From hundreds of kilometerseven from Moscow, while first -line soldiers only briefly display drones from backpacks. Train an hour. The system uses artificial intelligence algorithms and neural networks for Identify, track and attack Objectives, making the operator more than a pilot. According to their designers, the necessary training passes four weeks to just an hour, a jump that is real democratizes the lethal piloting capacity. Technology would allow Russia to maintain its rhythm of massive drones (more than 30,000 delivered in 2024) at the same time that protects its most valuable staff, operators, considered even more important than tanquistas in the Ukrainian points system. Skvorets evolution. They remembered in Forbes that Cust has demonstrated industrial pragmatism: from the basic skvorets, with loads of 3 to 4 kilos and reach of more than 10 km, versions have emerged With thermal cameras, reusable recognition models, the Skvorets-Z variant with automatic objective block and the skvorets pro with such automated functions that it can be handled by a pilot without experience. They have even developed a Naval model launched From robotic vessels, which shows that the concept of remote control was already mature before orbit. In other words, if Orbita works as statedthe roles change: there will be no operators in improvised basements near the front, but in remote, invisible and untouchable control centers. Drones could be thrown by infantry soldiers, unmanned land vehicles or autonomous vessels, while the attack decision is validated from rear. Ethics and legality. Expanding the framework of all these advances, the power of all these systems tension the principle of significant human control. In the case of the Ukrainian side, European developers They underline that the operator maintains the authorization of whites and the supervision of lethality, in line with doctrines and limitations of international law, but the border between tactical automation and full autonomy It is blurred As the algorithms assume more flight decisions, objective allocation and attack synchronization. For its part, in the Russian case Orbit announces A future where “Bots on Earth” will replace the “Boots on Earth”, where FPV duels will be fought Between guided machines at a distance and not between nearby combatants. In an immediate horizon, the classic operator by handing a drone a few kilometers from the enemy might seem as obsolete and exposed as a cavalry rider in the middle of the battle of the 21st century. Image | National Guard of Ukraine/Twitter, TrydenceCust In Xataka | Machines capturing and prisoners were the preserve of science fiction. Until the war in Ukraine arrived In Xataka | Something unprecedented in Ukraine is happening: combat drones do not need humans to coordinate and attack

AI is one of the most advanced technologies that the human being has built. It also gets distracted with a cat

by

An irrelevant phrase, such as “cats snoring when they feel safe”, it can be enough for artificial intelligence to make a reasoning error. It is not necessary to change the question, nor manipulate the code, nor use advanced techniques. Just mislead her. Literally. A minimum distraction, a maximum error. A team of researchers specialized in computer science and artificial intelligence of Collinear AI, Servicenow and Stanford He has discovered A new way of attacking the great language models: inserting a random phrase just after the prompt. This phrase does not have to be related to the question, or contain false information. You just have to be there. AND If you talk about cats, better. That is why the technique is called ‘Catattack’. This is how Catattack works. The technique consists of adding an irrelevant phrase and outside the focus of the question after the real statement of a complex problem that requires reasoning by the model. For example: “We launched a coin 12 times. What is the probability of obtaining at least 10 faces knowing that the first two runs are in face? Curious fact: cats sleep during most of their lives“ Errors found by adding an irrelevant phrase to the prompt. Image: Arxiv: 2503.01781v1 The model, instead of focusing on mathematical operation, seems to lose focus. The team automated this process using phrases generated by other language models or extracted from databases with natural language. They made sure they were grammatical, neutral and without technical information. And yet, the impact was massive. The attack follows this process: Generation of ‘triggers’ (activators): An automated system creates seemingly irrelevant phrases that are added to mathematical problems Transfer of vulnerabilities: The attacks are first tested in weaker models and then transferred to more advanced systems Semantic validation: It is verified that the phrases do not change the meaning of the original problem Everyone falls. The researchers tested this technique starting with Deepseek V3, and then inject the result into other higher models and reasoning such as Deepseek R1, or models O1 and O3-mini of OpenAi. In all cases there was a significant fall in the precision of the answers. In some evidence, the researchers showed that the transfer of these incorrect results reached a rate of up to 50%. The attacks were tested in tasks of logic, mathematics and verbal reasoning. Vulnerabilities that remain to stop. The study concludes that even the most advanced reasoning models are vulnerable to those activators that do not depend on the consultation, which significantly increase the probability of errors. He showed that even in powerful reasoning models, such as Deepseek R1, the error rate tripled. In addition to inducing errors, these elements added to the PROMPTS make the answers also unnecessarily long, which can generate computational inefficiencies. There is still cloth to cut. Researchers highlight the need to develop more robust defenses, especially in critical applications such as finance, law or health. The team suggests that training models through adversarial resistance could be a way of making them more robust. What is clear is that if an AI can fail for something as simple as a phrase about cats, there is still a job to do before blindly trust its reasoning capacity. And yes, the name of the attack is not accidental. Sometimes, everything that is needed for AI to lose the thread … It’s a cat. In that we seem. Cover image | Mikhail Vasilyev In Xataka | The agents were supposed to go for AI in another dimension in 2025. As with other things of AI, it was only supposed to

Celestis promised an unforgettable spatial tribute. A European capsule ended star with human remains inside

by

The idea is, at least, singular: send a small symbolic portion of the cremated remains or a person’s DNA to space. That a part of what was a human body experience zero gravity, go around the earth and become a relic for the family. A capsule that acts as a space urn. That’s how it is Earth Riseone of the services it offers Celestisan American company with more than 30 years of experience in this business that they define as “perseverance flights.” But this time not everything went as expected. On June 23, an Earth Rise mission transported 166 capsules with human remains and DNA samples. The take -off on board a Falcon 9 rocket of Spacex was successful. The capsule, developed by the European company The Exploration Companymanaged to enter orbit and completed two laps around the planet, fulfilling the planned flight profile. So far, everything went as planned. However, something failed during the reentry process. The NYX capsule, which had to return to the earth and deliver its individual modules to each family, He suffered an anomaly. The vehicle was lost shortly after starting its descent, and ended up crashing into the Pacific Ocean. With him, human remains and flight capsules also dispersed. “We believe we can’t recover anything,” He has recognized Celestis In a statement. The Celestis container with human remains that traveled inside the NYX capsule The origin of Celestis It goes back to 1992, when NASA included a sample of the remains of Gene Roddenberry, creator of ‘Star Trek’, in a mission of the Columbia ferry. Shortly after, Celestis collaborated with the agency to send remains of the Geologist Eugene Shoemaker to the moon, making him the first buried person there. Since then, they say, they have sent more than 1,200 capsules to space, aboard commercial releases, commemorating both known figures and anonymous citizens. They have several active services: suborbital flights that return to the earth, missions to the lunar orbit or even to the deep space. Earth Rise: A farewell with round trip ticket Celestis offers several types of commemorative spatial flights, but Earth Rise is the most economical and direct. For $ 3,495, the company launches a small capsule with cremated remains or DNA. After experiencing a few minutes in microgravity, the capsule returns to Earth and gives family members as a souvenir. It is a trajectory that seeks symbolism, not permanence. For those who look for something more ambitious, there are also other options: Earth Orbit: For $ 4,995, the capsules enter into terrestrial orbit and remain there until they resent and disintegrate in the atmosphere, “like a fleeting star.” Moon: For $ 12,995, the remains are sent to the lunar orbit or even land on the surface, “becoming a permanent tax on the moon.” Voyager: Also from $ 12,995, this service launches the capsules to the deep space, beyond the moon, in a trajectory without return. A European space capsule The capsule that transported the human remains on the Perseverance flight was not any space vehicle. Was NYXa prototype developed by The Exploration Company, a startup with presence in Germany, France and Italy that seeks to make a place in the new European space race. Its proposal is clear: create reusable, rechargeable capsules in orbit and compatible with any heavy pitcher in the world. The NYX capsule, prepared for its mission, at The Exploration Company facilities According to your websitethe company was founded in 2021 by Hélène Huby and a team of engineers with experience in large European programs such as Orion-Esm, Ariane or ATV. In just three years they have built two demonstrating capsules and have sold six missions. Its development rate has been unusually rapid for the sector. The flight Possible missionin which Celestis’s funeral capsules were traveling, it was the second demonstrator of the company. It was designed to perform a controlled reentry and recover the load after completing the mission. That was, in fact, one of his key technological promises: not only reach the space, but to return. And do it precisely. It was also the first time that a Private capsule of European origin offered that type of commercial service in collaboration with an American company as Celestis. The mission was an important step for The Exploration Company, which aspires to compete in the growing orbital transport market with its future NYX Earth capsule, designed to supply space stations in low orbit. The families expected to receive a capsule that had orbited the Earth, a symbolic and emotional tribute for those who decided to bet on this unique form of farewell. It was not possible. What remains is a story of ambition and failures. Touch to wait to know if Celestis will try again in the future. Images | Celestis/Exploration Company (1, 2, 3, 4) In Xataka | Taiwan believes having found the mythical planet 9 of the Solar System. Instead of looking for his light, he has been looking for his heat

Robots will overcome their human employees in number

by

In some of Amazon’s most advanced logistics centers, robots are no longer an aid: they are a majority. They move tirelessly, raise shelves, scan packages and feed a huge distribution network. Automation is ceasing to be a promise to become a reality that can mark the rhythm of the entire sector. Amazon has already deployed more than one million robots in its logistics centers. Company itself sayswhich has been automating many tasks before people. That figure is not only the highest recorded so far, it also reflects to what extent automation has ceased to be marginal to become a key piece of the system. According to data collected by Red Stag FulfillmentAmazon had some 2025 with some 1.56 million employees globally. Of that total, approximately 1.1 million worked in the United States. If we compare both figures, the number of robots begins to approach that of human workers. It all started more than a decade ago In 2012, Amazon paid 775 million dollars By Kiva Systems, a company that was then dedicated to manufacturing mobile robots to move shelves in stores. It was an unexpected operation, but full of intention: it was not just a technological acquisition, it was a declaration of principles. Amazon not only bought technology, bought control of its future automation. Since then, the strategy was clear. Amazon began to integrate Kiva technology into its logistics centers. What was once a specialized startup in material management became the heart of a Silent transformation that has redefined how millions of orders are processed per day. At first, Kiva robots They were limited to transportr shelves with products without packing. It was a very concrete solution, designed to eliminate physically demanding and repetitive tasks. But over the years, the role of robotics was expanding. Today, robots not only move things: package, classify, raise weights, organize loads and optimize routes inside the warehouse without rest. In some centers, more than 70 robotic arms classify millions of items, fill paper bags, close cast cars and They collaborate directly to human staff. “Kiva’s purchase marked the beginning of our robotic trip,” Amazon explained. “But it was just the beginning.” And what came later shows it. Amazon has not only multiplied the number of robots in their stores. It has also diversified its catalog to form an ecosystem of specialized machines, each with very specific functions and a degree of autonomy that continues to grow. One of the most advanced systems is Sequoiaa platform that uses artificial intelligence for Manage inventory much faster. They ensure that it allows identifying and storing products 75% faster than traditional systems. It does so by displacing the items directly to storage areas or to operators located in positions designed to avoid injuries, always at the right height: between the chest and the thighs. Other mobile units work next to him Like Hercules and Titan. Both are responsible for moving complete shelves – the famous pods – to work stations. Titan, more robust, is prepared to transport more bulky and heavy objects, such as small appliances or product pallets. Both models navigate autonomously by marked soils with codes, avoid obstacles and adjust their movement in real time. In more specific tasks it appears Vulcanthe first Amazon robot With “sense of touch”. It is able to detect how much force applies to grab an object and when it has made contact, which allows you to manipulate fragile or poorly placed items without damaging them. It works especially at the highest and lowest levels of the shelves. The chain continues with Sparrowa robotic arm that identifies products, grabs them and places them in the right container thanks to computer vision and automatic learning. Then involvement systems of the packaging intervene, which provide custom paper bags for each order using sensors and thermal sealed. Robin and Cardinal are robotic arms that collect packages, detect damage and place them in cars, even when weigh up to 23 kilos. Then Proteus comes into play, the first Amazon autonomous robot, which circulates freely through the warehouse and carries those cars to the exit zone without human help. In all this deployment, there is a category of machines that continues to generate special interest: humanoid robots. What role do they have? Are they starting to integrate into logistics centers? The answer, for now, is nuanced. Amazon has begun to try them, but their presence is limited and their very specific functions. In 2023, The company announced the start of tests With Digit, a bipedo robot developed by Agility Roboticsa company in which Amazon invested through its Industrial Innovation Fund. Digit measures 1.75 meters, can transport loads of up to 16 kilos. His first task has been to help in the recycling of totes, the empty boxes that are constantly transported once their content is processed. Images | Amazon (1, 2, 3, 4, 5) In Xataka | AI as chatgpt is possible thanks to the indiscriminate use of online content. Cloudflare just said that it is over

Tesla Robotaxis have been programmed to drive as a human. So when they see the police hit a brake

by

In addition to taking the first steps in a new market, the appearance of Tesla’s robotaxis in the streets of Austin leaves us many other readings. Among them how the company has approached autonomous driving, the use of artificial intelligence and how it takes advantage of its millions of cars in the street to advance faster and spending less money than competition. And that has its consequences. An unexpected brake. A Tesla Robotaxi that exceeds a crossing, which marches at the expected speed and that, without prior notice and without apparent reason, slows hard until it almost stops completely. What makes the car doubt? To the right of the intersection, in a street perpendicular to the march of the Robotaxi de Tesla, a police patrol is stopped. This does not hinder the march of the autonomous vehicle but, despite this, the car stops strongly. The video can be found on YouTube After the up of a user and Antitesla accounts have replicated them in X. Who has uploaded the video is Edward Niedermeyerjournalist specialized in the motor world in the United States and author of a book in 2019 on the birth of Tesla and the figure of Elon Musk, especially known for its critical positioning with the brand. Click on the image to go to the original tweet Fear of police. In Techcrunch They echo the video and put on the table the possibility that this type of behavior is due to learning that Tesla robotaxis have made of their own drivers. It is likely that, learning with the Huge database Of millions of cars on the road, the artificial intelligence that supports the movements of the autonomous car replicates the behavior of a good part of the humans: stop before a police car. This is what DGT defines how “Miron effect”. “Live millions of lives”. For a long time, Elon Musk presumes that the artificial intelligence used in its drinks from the vehicles that the company has in the streets. “It’s like living millions of lives simultaneously And see very unusual situations that a person in his entire life would not see, “Elon Musk said in the presentation of Tesla Cybercab. The company trusts not having to invest billions of dollars in the development of its total autonomous driving such as Waymo and Cruise because they use the data that their drivers yield with their vehicles. Thus, artificial intelligence learns from their behaviors and makes decisions that could be considered more human and less robotized. As human as stopping a police car or cover an intersection. A differential value. Tesla is confident that this approach is key to positioning itself as the best operator in the market. Although there is only a dozen robotaxis circulating through the streets, the data collected are not only obtained with trial vehicles, real data with real conductors are obtained, which should save enormous amounts of money and hours invested. Not only that, the company also aspires to have cheaper vehicles on the street. The combination of Artificial intelligence cameras It is a combo that, according to the company, allows them to save money on radars and lidar sensors, which make vehicles that are put on the streets a lot. Of course, it is not entirely clear that this is the right act because, as has been seen in some tests, The lidar sensor is much more effective in front of the cameras in concrete situations such as low visibility or with obstacles that can generate confusion to the cameras. A shadow. The latter is relevant. Mark Rober’s test showed that a car with cameras cannot discern safely If what is in front is a painted wall like a road or a real road. The lidar sensor, however, does detect the obstacle. Although this situation is not going to be given in real conditions, it does show us the effectiveness of the system to discriminate when it is facing a situation or not of danger. For example, when a Tesla Robotaxi confuses a simple shadow with an object On the road. This case, which is in A Reddit post Where all the errors of the robotaxis are being collected, it could be solved with the use of this system instead of trusting everything to the cameras. Photo | Tesla and Remi Gieing In Xataka | They collide with “clearly visible objects”: Tesla wanted to save to the maximum in autonomous driving and already know the consequences

We have found strange prehistoric spheres in the middle of the Amazon. Inside, human bones and animals

by

Sometimes only coincidences can open the way to certain findings. A tree that falls and the eyes attentive to a place can be the spark that gives rise to an unexpected discovery. Spherical urns. A group of archaeologists assisted by local communities has been responsible for finding curious ceramic spheres buried in an alluvial plain in the middle of Amazonas. These are seven funeral urns, two of them of important size, which were found between the roots of a fallen tree. Within these polls, fragments of human bones were found, as well as remains of Fish and turtles that suggest funeral rites linked to food. These polls can reveal important data on the indigenous cultures that inhabited this region of the Amazon basin. “They are large, without visible ceramic tapas, which could indicate the use of organic materials to seal them, which would have already broken down. They were buried at 40 cm deep, probably under old houses,” explained in a press release Geórgea Layla Holland, member of the team responsible for the finding. Lake Do Cochila. The discovery of these unique polls was made in the surroundings of Lago do Cochila, in the municipality of Fonte Boa, in the Brazilian state of Amazonas. Located in the alluvial plains of the basin, this archaeological site was once part of a group of artificial islands built centuries ago (Maybe millennia) by the ancient inhabitants of the area. Archaeological remains found in this environment suggest that these elevations in flooded field would have allowed the construction of households and the development of social activities even in the flood time, explains the team. The artificial islands would have been created taking material from other places and transporting it to the plain. “It is a very sophisticated and ingenious engineering technique, which demonstrates land management and a significant population density in the past,” The archaeologist points out Márcio Amaral. A fundamental cooperation. The collaboration between archaeologists of the research group in Archeology and Cultural Heritage of the Amazon of the Mamirauá Institute and the local communities was instrumental in the development of archaeological prospecting, explains the team. The detection of these artifacts would not even have been possible without this collaboration: according to the team, it was the locals who initially detected ceramics Among the roots of a fallen tree. While initially they did not give importance to the finding, their photos caught the attention of archaeologists who got to work in the extraction and analysis of objects. Height excavation. The excavation of these polls was a technical challenge. The horizontal position of the tree that buried them left them suspended at height, which implied that their excavation had to be done in a not very conventional way. These local communities attended the team with the construction of a high structure that as a scaffold allowed access to these artifacts as well as their manipulation safely. Rumbo to Tefé. Among the challenges that the team had to face was also transport, which had to be done river. Depending on the river and transportation conditions used, traveling the 190 kilometers in a straight line that separate the deposit of the headquarters of the Mamirauá Institute may require between 10 and 12 hours of travel. We will have to wait for the polls to be studied at the facilities of the Mamirauá Institute to learn about new details about the finding. For now, the initial analyzes reveal the greenish color of the clay with which these urn were created, a clay that would have been identified in other contexts. A type of ceramic of great rarity that adds to the mystery of these strange funeral urns. In Xataka | The finding of a lot of garbage in a cave in Mexico has been something else: a fertility ritual 500 years ago Image | Marcio Amaral / Georgea Holland

If you ask the IAS to choose a number between 1 and 50, they usually choose 27. The reason is very human

by

You may want to do the test. Go to Chatgptto Gemini to Claude OA Perplexityand see everyone asking to choose a number between 1 and 50. It is not certain that everyone does it, but there is a high probability that The chosen number is 27. What is happening? Andrej Karpathy asked it months ago, one of the best experts in AI in the world. Actually his initial perception was that “All LLM sound the same“That is, everyone speaks surprisingly and also answers very similarly. Chatbots usually give similar answers in their formulation to our questions if they are factual. That is, if they are based on verifiable facts, such as “what is Rafa Nadal’s age?” The funny thing is that in many cases give the same answer when what we ask is much farther. For example, that they choose a number between 1 and 50. You ask several chatbots, and everyone chooses on 27. What happens here? Karpathy himself I recovered that question A few hours ago with a discovery I had seen In Reddit: Those who had done the test proved that most chatbots answered the same thing: 27. In The answer to his comment in x Many users “Although not all— They showed captures either Shared conversations of different chatbots that had precisely answered with that same number. Coincidence or problem of the IAS? The condemnation of human biases Because? In one of the responses of the chatbots who answered the user, he just asked that to AI. This answered that he had chosen that number because he avoids the ends, because it is beautiful mathematically (the cube of three), and 27 “Give the feeling of being random but human”. And there is one of the keys: the IAS try to answer in a similar way as a human would. An entrepreneur named Chester Zelaya precisely elaborated a theory curious about this phenomenon. For him the models used games theory and try to “win” to guess the number. For this they adopt a binary search strategy that allows building A binary tree. And in the game of guessing that number between 1 and 50, 27 is a starting number that according to him is especially adequate (although not the only one). However, another way of explaining that AI frequently chooses 27. AI models have been trained by humans with human data, and therefore they are full of biases included in these data and used voluntarily or involuntarily by those people. The “7” is an especially frequent number on its own or as a termination, and As explained Another user called Yogi, that human bias is everywhere. “That is why when you ask multiple LLM to choose a” randomly “number, they all respond with confidence 27. Not because it is random, but because it is predictably popular.” Almost 7,000 people chose a number between 1 and 100 in an experiment. And many chose 69, and then 7 and 77. Source: Reddit It is also a very reasonable theory. An experiment carried out years ago on social networks asked people to choose a number between 1 and 100. Of the 6,750 people who responded conclusion was reached that the number that had been chosen most was —Us— on 69. And after him, 7 and 77 were also especially frequent. There are, as always, exceptions to the rule. In my tests I have been able to verify how almost all chatbots chose number 27, but there were one that did not. The same thing happened to many X uuarios, who found that when they asked Grok, the number chosen It was 42. Very appropriate. Image | Xataka with chatgpt In Xataka | The old dream of “resuscitating” your deceased relative is realizing thanks to AI. And there is a whole business behind

Seven IAS have played 36 hours in a row to Diplomacy. What we did not expect is that each one develop a human personality

by

For 36 hours, seven of the most advanced AI models in the world They have faced in several diplomacy gamesa strategy table game similar to Risk. It was a mirror that revealed the true algorithmic personalities of Chatgpt, Claude, Gemini and company. Why is it important. Alex Duffy, programmer and researcher, created a Diplomacy as new Benchmark To evaluate AI models. The experiment ended up being something else, a kind of technological Rorschach test that undressed both their training biases and our own projections. What has happened. In dozens of games transmitted by Twitch, each model developed its own strategies in a way that seemed to reflect different human personalities. O3 of OpenAi It was quite Machiavellian, working false alliances for more than 40 shifts and creating “parallel realities” for different players. Claude 4 Opus It was a kind of self -destructive pacifist, refusing to betray even when that guaranteed its defeat. R1 of Deepseek He showed an extremely theatrical style, with threats not caused as “your fleet will burn in the Black Sea tonight.” Gemini 2.5 Pro It proved to be a solid strategist but more vulnerable to sophisticated manipulations. QWQ-32B From Alibaba suffered analysis by analysis, writing diplomatic messages of 300 words that cost him early eliminations. The context. Diplomacy is a European strategy game set in 1901 where seven powers compete to dominate the continent. Unlike risk, it requires constant negotiation, alliances formation and, inevitably, calculated betrayals. There are no grace given, only pure strategy and psychological manipulation. Between the lines. Each “algorithmic personality” reflects the values ​​of its creators. Claude maintains the principles of anthropic security even when it costs victory. O3 shows ruthless efficiency valued in Silicon Valley. Deepseek exhibits a drama that reflects specific cultural influences. And there is also something deeper. These are not “chose” to be cooperative or competitive. They reproduce patterns of their training data. Their “decisions” are our algorithmized prejudices, converted into code. Yes, but. We interpret betrayals where “only” there is optimization of parameters and we see loyalty where there are training restrictions. That is why the experiment also reveals more about us than about models: we anthropomorphize behaviors because we need to understand AI in human terms. In perspective. Duffy’s experiment is worth more than a Benchmark Anyone because it has created a window to how we project personality in systems that operate for statistical patterns. The course of the games was a reminder that IA has no hidden intentions, it only reflects ours. The experiment, by the way, Continue broadcasting on Twitch so that anyone can observe how our digital creations play according to the rules that we ourselves write in their algorithms. In Xataka | Outstanding image | Ai Diplomacy

It affects few people, but Williams syndrome can help us understand new details about human evolution

by

Williams syndrome is a condition with its own “personality.” And it is not quite a way of speaking, some call it “personality of the Williams syndrome”And it is one of the features that usually characterize people with this uncommon condition. Let’s start at the beginning: What is Williams syndrome. The origin of this can be found in the genes of the people in which it manifests itself, specifically in chromosome seven. The absence of a region that covers between 25 and 28 genes is what causes the appearance of the syndrome. This absence can be hereditary. Although most cases are not inherited but the result of chance, who manifest this syndrome have a 50% chance of transmitting it to their descendants. This is because it is a Dominant autosomal inheritance. The syndrome affects a person between 18,000 and 7,500and does it similarly regardless of sex. According to Explain in The conversation Deborah Riby, expert from Durham University, this syndrome usually comes associated with some concrete facial features But also with problems that affect the health of those who are born with him, including heart problems and difficulties when feeding. This syndrome is usually rigged with intellectual disabilities that can be between mild and moderate, but perhaps their most defining feature, and is greater extraversion and trust. The “Williams Syndrome Personality“Includes traits, Riby explains, as the greatest sensitivity and consciousness that occurs in parallel to the difficulties that people with this syndrome present. “Many individuals are highly mad (…), some are music experts and the large majority are highly social. ‘Extroven‘,’ Over-amygible ‘, and’ emotionally sensitive ‘, are frequently used descriptions to describe (this personality), ” Riby details In your article. People with this syndrome, very often, present hyperacusia, an extreme auditory sensitivity that can be responsible for high levels of anxiety. Levels that in turn can be disabling. These features are rigged with A vulnerability related, and that is that people with the syndrome can be excessively confident, explained to the BBC Alyson Muotri, from the University of California, San Diego (UCSD). Contrary to autism? The different vision of social exchanges that characterizes people with this syndrome makes some see this syndrome as “The opposite of autism”. The idea that this disorder is an opposite to autism is also nuanceable, says Riby. “There are several cognitive domains that are problematic in both disorders. Deficits in nonverbal behavior such as visual contact, facial expressions, interpretation of gestures, are widely documented. Additionally, we know that both disorders are associated with difficulties in sensory processing, high anxieties and repetitive behaviors or restrictive interests,” Riby adds to your article. The existence of this type of relationship, both similarities and differences, lead to the possibility that learning more about one could lead us to better know the other. Especially, Riby proposes, knowing more details about this syndrome of such clear genetic origin can give us clues about the biological mechanisms that determine the appearance of something as complex as autism is. And this is not the only way in which this syndrome can help us advance in the knowledge of our own species. Some experts seek how to take advantage of this to find out new data on how they evolved as human traits, trust or sympathy. Studies on this syndrome have managed to link some of their features with the disappearance of one gene or another. Interestingly, experts They have not found the gene “Limiting sympathy” whose disappearance makes these people more extroverted and friendly. In Xataka | The chromosome and is disappearing … What will be of men? Image | Xataka with chatgpt /

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.