race

Agentic AI was the new race for Big Tech and Meta was far behind. It has bought the company most capable of recovering

by

Meta has closed the purchase of manusa Singapore-based artificial intelligence startup, for more than $2 billion. Throughout this year, Meta has reinforced its AI operations by acquiring several companies focused on different specialties. In July bought Play AIfocused on voice with AI. In August acquired WaveFormsan audio-focused startup. And in September was done with Rivosa company specialized in the design of semiconductors and RISC-V chips. Manus’s is already the fourth major purchase this year, and it is his hope not to be diluted in the race to dominate AI when all this time he has focused his efforts on Llama and his open weights approach. Why it is important. The Agentic AI (agents capable of performing complex tasks with minimal human supervision) has long become the new battlefield for big technology companies. Although companies like Microsoft or OpenAI had sufficient resources to develop in this field, Meta needed to strengthen its position in this segment if it did not want to be left behind. Manus came to reach 100 million dollars in annual recurring revenue just eight months after its launch, which offers Meta a product that generates money right away, something not very common in this sector. What does Manus do? The startup rose to fame in March with a video demo that went viral, showing how its AI agent was able to produce detailed research reports, build custom web pages, filter job candidates, plan vacations, and analyze investment portfolios. All using AI models developed by companies such as Anthropic and Alibaba. At the time, Manus even claimed to surpass OpenAI’s Deep Research. Currently, the company has around 100 employees, mainly in Singapore, offers subscriptions of $20 to $200 per month and already has a user base of millions. Initial success. Manus emerged a few months after the debut of DeepSeekthe Chinese model that shook the foundations of the industry due to its capabilities supposedly developed with less computing power than its American rivals. Just like account WSJ, the startup secured a $75 million funding round led by Benchmark in April, which valued the company at $500 million. Among its investors are firms such as Tencent, ZhenFund or HSG. Untying ties in China. The parent company behind Manus, Butterfly Effect, was founded in 2022 in Beijing by two Chinese entrepreneurs, including its CEO Xiao Hong, known as ‘Red’. Although most of its researchers and engineers were located in China, Manus launched outside the country because it used American AI models that are not available there. Shortly after securing its investment with Benchmark, the company officially moved its headquarters to Singapore. According to account WSJ, Manus has ruled out developing a version for the Chinese market. Goal declared to Nikkei Asia that, following the acquisition, Manus will have no ties to Chinese investors and will no longer operate in China. All existing investors have been excluded from the operation, according to they count from Bloomberg. What’s coming now? Meta plans to keep Manus running independently while integrating its agents into Facebook, Instagram and WhatsApp, platforms where Meta AI is available. According to WSJManus CEO Xiao Hong will report directly to Javier Olivan, Meta’s chief operating officer. “Joining Meta allows us to build on a stronger, more sustainable foundation without changing how Manus works or how decisions are made,” Xiao stated in the official announcement. No return guarantees. Mark Zuckerberg continues his mission to prove that AI can deliver tangible returns. Goal plans to spend $600 billion in American infrastructure over the next three years, much of it related to AI. Just like assures Bloomberg, it is an amount that causes some skepticism in some investors, since there are no guarantees that this expense will generate significant income soon. Cover image | TechCrunch In Xataka | NVIDIA has paid $20 billion to “license” Groq’s technology. He actually bought it

South Korea just turned on AX K1. “An AI for everyone” that puts the country in the race between China and the US

by

The race for artificial intelligence It is the new diamond of the economy of many countries. one to whom they are throwing money as if the world were going to end and that it is having serious implications on issues that affect citizens such as energyhe employment and with one last controversy: the exorbitant price of RAM. The great powers they want to be sovereign in this field, and South Korea has just light his first hyperscale artificial intelligence model. His name could be some son of Elon Musk: AX K1. In short. Developed by the giant SK Telecom, AX K1 is a model that has 519 billion total parameters, although during inference, which is the practical use case, it “only” activates about 33 billion. It’s still accurate (as accurate as an AI can be) but consumes far fewer resources. That 519B – A33B mode is based on the ‘architecture’mixture of experts‘ that selects in real time and dynamically the optimal parameter subsets for each task. These parameters are like the neural connections that allow the model to “learn” during training, and the fact that South Korea already has a hyperscale model is a huge leap in the country’s position within the global picture of AI. Master Model. The design of this model allows stable performance in tasks such as advanced reasoning, mathematics and multilingual comprehension, but there is also an interesting concept: it works as a “Master Model”. These models are the ones that transfer knowledge to smaller models. While the master knows everything, the lighter model is specialized in a specific task. And, although the large model consumes an enormous amount of resources, the “student” that inherits complex capabilities without having to manage so many parameters can run on devices and environments with more limited resources. For example, the AX K1 with those 512B can “transfer its knowledge” to those below the 70B scale, much more specialized and cheaper. “As Korea’s leading AI company, we will continue to push forward our efforts to deliver AI for everyone” – Tae Yoon Kim “AI for everyone”. In less words: the master model allows the expansion of AI to be accelerated because the hyperscale is used for research, but the lower scale is used for more everyday products. And, precisely, that is what SK Telecom seeks: for its IOA to be the basis on which the country operates. In collaboration with different universities, associations and thanks to the memory manufacturer SK Hynix –one of the giants of the sector and part of SK Telecom-, the company hopes it will be the foundation of an “AI for all.” This implies that they will deploy it in their services and, as it is open source, its API can be the basis of other models in university, business and even national ecosystems. In fact, there is already talk of very specific solutions, such as access to AI through text messages and even phone calls, but also multilingual search services and even a boost for AI in video games. And, of course, for humanoid robotics either for education. The great advantage that the consortium that owns AX K1 has is that it is one of the largest groups in the world, with a presence in the semiconductor, telephone, transportation, construction, energy and video game industries. Therefore, you can easily scale this technology. Third in contention. SK Telecom has confirmed that it plans to continue expanding its model with agent-based execution and those 519Bs allow Korea to become “one of the top three artificial intelligence nations in the world,” in the words of Tae Yoon Kimone of those responsible for the model. The group’s intention is to help “consolidate South Korea as one of the world’s top three artificial intelligence nations,” a race that is taking place resources difficult to contextualize in both the United States and China and which is crushing markets like RAM for consumers. Image | SK Telecom In Xataka | The exorbitant deployment of data centers for AI has a new problem: salt caverns

A Russian family lived isolated in Siberia for more than 40 years. He didn’t know about World War II or the space race.

by

In the cold, vast and desolate siberian taiga one would expect to find spruce trees, maples, streams and acres covered in frozen silt. Maybe (hopefully) some lone pso or wolf. What no one would include on that list is what he discovered around mid 1978 an expedition that flew over a mountain located more than 240 km from any human trace. There, in the middle of the Abakan mountain rangea group of geologists came across a family that had been isolated for 42 years. Its story still fascinates today. And that cabin? Such a question must have been asked 47 years ago by a group of Soviet geologists flying over the Siberian taiga, an area rich in oil, gas and mineral reserves. He ran summer of 1978 and the team, led by Galina Pismenskaya, was traveling by helicopter in a region of Siberia located 160 km from the border with Mongolia when the pilot saw something between the trees. Something unexpected. A rudimentary cabin with a small garden. In most parts of the planet, such an image would be of little interest, but Pismenskaya’s team was supposedly in an unpopulated area. In fact, the Soviet authorities were not aware that anyone lived there. The nearest houses were supposed to be more than 200 kilometers away, so the question was obvious… What the hell was that shack doing there, built next to a stream, among trees? They were so intrigued that geologists decided to land. “We come to visit”. The impressions of Pismenskaya and her colleagues when approaching the hut we know them thanks to Vasily Peskova Russian journalist and traveler who would later interview the protagonists of that story to collect it in a book. Upon landing, the researchers found a hut made with the little that the taiga offered: bark, branches, trunks and pieces of wood blackened by humidity. On one side there was a tiny window. On the other side there was a door through which an old man appeared. “Like something out of a fairy tale”, would relate some time later Pismenskaya, who recalled that the man was barefoot, was wearing a patched shirt and pants and sported a scraggly beard. “He seemed scared. We had to say something, so I started: ‘Greetings, Grandpa! We’ve come to see you.’” The fact is that that old man was not alone. When they entered the hut with him, the geologists discovered that he lived with his four children. They all shared that wooden construction without rooms, blackened by smoke, cold and with the floor covered in shells. Upon seeing the new arrivals, one of the young women began to pray, scared. Another, hidden behind a post, ended up collapsing from suffocation. Logical. The family had not seen another human for four decades. Dating back to 1936. The old man in question was called Karp Osipovich Lykov and the fact that he lived there, in conditions almost medieval people, hundreds of kilometers from any hint of civilization and surrounded only by his children, is explained in light of what happened in Russia at the beginning of the 20th century. Just like his Karp family was an old believera member of a church split from Orthodox Christianity that embraced the ancient liturgy and ecclesiastical canons. The path of Karp’s coreligionists had diverged from the Russian Orthodox already in the 17th century, after Nikon’s reformwhich made them outcasts. This had happened in times of Peter I…and with the Bolsheviks. This harassment affected the Lykov family directly. Around 1936, a patrol shot his brother on the outskirts of the village where they lived, so Karp made a radical decision: he gathered his wife Akulina and the two children they had at the time (Savin, nine years old, and Natalia, two) and escaped into the forest. Literally. He walked away as far as he could. Without looking back and with light luggage that included just a handful of seeds, a rudimentary spinning wheel, a couple of jugs to boil water and the clothes they were wearing. Once in the taiga, the family built a cabin with what they had on hand, set up a garden and continued with a life marked by isolation, their beliefs and deprivation. In 1940 the couple had their third son, Dmitry; and four years later the fourth and last daughter, Agafia, was born. Back to history. The Lykovs continued with that life until Osipovich’s helicopter located them in the summer of 1978. It may sound strange, but the family had settled in a particularly inhospitable place. No one saw them before because no one looked there. The marriage moved as he encountered difficulties, moving further and further away from the villages and towns, until settling at a point located more than 240 km of the nearest settlement. Not even the Soviet authorities were aware of the existence of that family. The consequences of that isolation are obvious. For the Lykovs, time, politics, science… stopped dead in 1936. The family did not know that Europe had been shaken by World War II, nor that man had stepped on the Moon in 1969, nor was it aware of the space race, the name Kennedy or the Beatles did not ring a bell… Some family members marveled at seeing a television or items as seemingly simple as matches or a roll of transparent cellophane. Fascinating yes, bucolic no. The Lykovs’ 42 years of isolation were, however, hardly bucolic. Their cabin was built next to a stream and the forest offered them wood, fruit and even game, but the harsh conditions of the taiga subjected them to a constant test. Especially the first years. Agafia even told how towards the end of the 1950s the family faced their peculiar “years of hunger”, during which they had to decide whether to eat the little they harvested or save some of the seeds to grow them the following year. “We were hungry all the time,” he admits. Years later the family suffered a frost … Read more

The artificial intelligence race is pushing the US towards an unexpected energy solution: looking to the military sphere

by

The artificial intelligence race is not only being fought in laboratories, chips or data centers, it is increasingly being played in the field of energy. In the United States, the accelerated growth of electrical demand associated with AI has exposed a barely visible fragility: the network is not expanding at the same pace as technological ambitions. This imbalance is forcing us to look beyond conventional solutions and reopen debates that seemed closed, including some that connect directly with the military sphere. What has been put on the table. HGP has submitted an application formal to the United States Department of Energy to redirect two nuclear reactors removed from Navy ships to a civil project linked to data centers in Oak Ridge, Tennessee. The request was channeled through a letter addressed to the Department’s own Office of Energy Dominance Financing, and is part of the so-called Genesis Mission promoted from the White House. According to the documentation, the installation could provide between 450 and 520 megawatts of continuous electricity, aimed at intensive and stable consumption. The main argument in favor of this idea is time. Faced with the construction of new civil reactors, whether large plants or smaller designs, which tend to move on long schedules, or the start-up of large gas plants, also conditioned by permits and infrastructure, the reuse of existing reactors is proposed as a way to gain speed. The logic is simple: start from equipment that is already manufactured and tested, and convert it into a firm supply for the network. It is, at least on paper, a way to add base power while other solutions mature. Behind the scenes of the proposal. The initiative does not come from a newly created startup or from an unknown actor in the energy sector. HGP Intelligent Energy It is a recently created division, but it is presented as part of a developer with previous experience in the US market, supported, according to the company itself, in energy storage projects, electric mobility and development of network-scale assets. At the helm is Gregory Alvaro Forero, president of the division, which appears on your LinkedIn profile as president of HGP Storage since November 2013. That detail helps frame the approach outside of the improvised company pattern. What technology would be reused and at what price. The reactors cited in the proposal come from the US naval nuclear fleet, where aircraft carriers operate with two reactors and submarines typically operate with one. Models A4W, manufactured by Westinghouse, and S8G, developed by General Electric, are mentioned. Adaptation for civil use would have an estimated cost of between one and four million dollars per megawatt, and the project would also require between 1.8 and 2.1 billion dollars in private capital for associated infrastructure. The proposal includes revenue sharing with the Government, a fund for future decommissioning and the intention to request a loan guarantee from the Department of Energy, with a first phase “as soon as 2029”. Just because the idea sounds direct doesn’t mean the path is. Bloomberg notes that Reusing military reactors for civilian use would be unexplored territory, and inevitable questions arise: how is it authorized, who operates, under what standards and with what responsibilities if something fails. Coordination between federal agencies and regulators also comes into play, as well as the logistics of moving and adapting equipment designed for ships, not a grid-connected plant. For now, everything remains at the proposal level. Energy sovereignty as a security argument. HGP tries to support its approach with a framework that goes beyond electricity for data centers. In its materials, the company summarizes the idea with an explicit equation, “Energy Supply Chain Sovereignty = National Defense,” and links supply chain resilience to the country’s ability to secure strategic infrastructure, even noting how geopolitical events or social media posts by managers can affect operations and investments. It is the story with which it seeks political and institutional legitimacy. To reinforce the idea that naval nuclear is not synonymous with improvisation, the context of the World Association of Nuclear Operators enters. According to WANOthe US Navy has accumulated more than 6,200 reactor-years of experience without radiological incidents, with 526 reactor cores, as of 2021. The association attributes that history to the standardization of systems, maintenance and quality of training. It is a relevant fact for the public debate, but it does not close it: a solid record in a military environment does not automatically imply that the jump to civilian use will be immediate or easy. Images | General Dynamics Electric Boat | Igor Omilaev | İsmail Enes Ayhan In Xataka | The race to bring data centers to space promises a lot. Physics says otherwise Images | General Dynamics Electric Boat | Igor Omilaev | İsmail Enes Ayhan In Xataka | The race to bring data centers to space promises a lot. Physics says otherwise

that China loses the AI ​​race, but wins the economic war by bleeding them dry

by

The AI ​​race has two main players, but their bets are very different. While the United States has already spent $350 billion in AI (and plan to spend much more), China has only invested 100,000 million. Silicon Valley optimists start from the belief that AI will radically change the world and whoever masters AI will dominate the future. And if not? As they say in financial times, The United States could win this battle, but lose the economic war. USA. You have put all your eggs in the same basket. Exorbitant investments are guided by the belief that AI will change the world as we know it, that AGI will make humans finally stop working. It is an epic speech in which AI is presented to us as a kind of messiah that will save the world, one that completely ignores the alternative: that AI is a great technological leap, yes, but neither so revolutionary nor, above all, such a great business. And it’s not just a technology thing, investors are absorbed in the same obsession. China. In 2017, China announced the “Development Plan for a New Generation of Artificial Intelligence” in which they defined AI as a strategic technology. For China, AI is a national priority, but its approach is more pragmatic and much less speculative. You just have to look at their AI models, like DeepSeek, effective but very far from the very expensive ‘frontier models’ in which the US is investing. His vision for AI is not so much to transform the world, but rather to function as a tool to be even more efficient in different processes. a few months ago They announced the “AI+” planwhere they detailed the deployment of AI in six sectors: scientific and technological development, industrial applications, consumer services, public welfare, governance and security, and international collaborations. The AI ​​war. We always hear the idea of ​​this stark battle to dominate AI from the American side. In many cases, the AI ​​war, like AGI, is another point of pressure for Silicon Valley to justify the tremendous expense or achieve its objectives. We have seen it recently with Jensen Huang pushing for the government to let him sell his chips in China and his argument revolved around the idea that China will achieve technological independence and then win the AI ​​war. The paradox for the United States is that its own invention is benefiting its enemy. The AI ​​war also functions as a pressure point for China: forcing the US to mortgage its economy to the technology they consider the future, while they overtake them in everything else. The economic war. The United States is betting everything on a single winning horse, while China has not stopped investing to ensure its dominance in other key sectors, such as electric cars, batteries, robotics and, above all, renewable energy. For China there are many futures, for the US only one. The commitment to diversification is going well. In 2024 China already manufactured 76% of electric cars sold worldwide and 80% of all lithium batteries. They are also the country with more industrial robot installationswhich gives them an advantage to continue being the factory of the world. There is much more, they are also undisputed leaders in other sectors such as the manufacture of drones, solar panels, high-speed trains and graphene. China’s AI is energy. China carries years investing in clean energy. According to Carbon Brief reportIn 2024 alone, China invested $940 billion, and it is not the year it spent the most. The curious thing is that energy is key for many sectors, especially AI. The United States knows this well and has already encountered a wall: They don’t have power for so many chips. Not only is China producing more energy, it is also is subsidizing it. Jensen Huang warned about this situation, ensuring that “China is going to win the AI ​​race” thanks to the government’s energy aid. Trump, for his part, has discouraged renewable energies and the electric car industry. In the end it will turn out that, for the United States, it is AI to win or nothing to win. Image | Gemini In Xataka | China already has an army of 5.8 million engineers. His new plan involves accelerating doctorates

The CNI joins the race to find the best talent

by

Maybe you hadn’t noticed because they are very discreet, but the generational change has become an urgent need for the National Intelligence Center (CNI). As is the case in a large part of the Administration, the average age of its staff increases steadily and requires the incorporation of young profiles constantly. a report 2021 already pointed out this trend in the workforce, which presents the Intelligence Center as an increasingly veteran structure and a growing demand for specialists capable of covering strategic areas, from cybersecurity to the operation of sensitive infrastructure. Much more than analysts and technicians. Although the CNI is usually associated with highly qualified profiles in intelligence, technology or languages, the range of real vacancies is wider and, as many other companiesyou are also noticing the staff shortage maintenance. As and how I collected InfobaeIn the latest recruitment processes, the Intelligence agency has insisted on the need for essential trades for the operation of its facilities: locksmiths, electricians, plumbers, air conditioning technicians or industrial maintenance specialists. Just visit your job portal to realize the number of job offers for this type of professionals. The detail: they are more than plumbers. However, there is something in these offers that draws attention: in addition to the qualification that accredits technical knowledge, having a B2 level of French, German, Italian, Portuguese, Russian, Arabic or Chinese is valued. It’s not a coincidence. In the CNI, even electricians are potential agents. “Not only are they profiles to work in the CNI facilities, but sometimes they are necessary for certain operations that we carry out,” declared to Infobae a CNI agent with 20 years of experience. Beyond that detail, the reason for having your own internal maintenance team is simple: they are critical positions for the physical security of complexes where any intervention, no matter how small, must remain under internal supervision, reducing the intervention of external contractors. The CNI finds you. As and how he published The Newspaperthe National Intelligence Center has launched a talent hunt, gaining visibility in cybersecurity events and job fairs. According to CNI sources consulted by the newspaper, thanks to this job opening, 4,000 interviews have already been carried out with different technical profiles so far this year. Not only do the CNI’s Human Resources staff intervene in these job interviews, but in some of them the section heads who demand candidates also intervene discreetly. In this way, it is those responsible for the CNI themselves who choose its future members. Spies are not officials. CNI workers are not officials comparable to the rest of the Administration. His status is that of statutory staff of the CNI, governed by its own regulations that determines access, internal mobility, evaluation and working conditions. This framework responds to the nature of the organization: an intelligence service that works with sensitive and, sometimes, classified national security information. Competition from private companies. Contrary to what happens with the rest of the Administrationone of the most complex obstacles to the CNI’s generational change is competition from the private sector. The recruitment of technological profiles (cybersecurity, data analysis, systems engineering) forces us to compete with private companies that are offering higher salaries, greater work flexibility and teleworking options. Although the employment section of the CNI specifies that it is not mandatory to live in Madrid, new candidates must complete prior training at the facilities that the organization has in the capital. However, one of its biggest drawbacks is that, even if they take place anywhere in Spain, many positions require physical presence and do not allow the use of external connections. Any external access implies potential risk, which limits the adoption of hybrid modalities. This collides head-on with the flexibility claim of these technical profiles. An inevitable renewal. As detailed by the CNI sources consulted by The newspaper, The internal challenge of the CNI for the coming years will be to maintain this constant flow of new talent while the generation of baby boom he retires Moving in an environment where discretion, operational restrictions and the impossibility of giving too much information about the nature of the work play against the needs of a secret service. Now we know that, if you are interested in working for the CNI, they are not always the ones who will try to recruit you. You can also send them the resume. In Xataka | “We are absolutely certain that it is an external attack.” The phones of Pedro Sánchez and the Minister of Defense have been infected with Pegasus, according to the Government Image | Unsplash (Chris Yang)

Your race to modernize is breaking what has always worked

by

The promise of Windows 11 was to deliver a modern operating system, but four years later, that modernization feels like a permanent work in progress. While adoption of the system remains slow—although reached Windows 10— some users face an experience weighed down by patches that often turn into bugs. An invisible change that breaks things. From 2023Microsoft accelerated an under-the-hood migration: abandoning the classic and efficient technology that drew windows, to embrace WinUI and the XAML-based Windows App SDK. The goal is to unify the design, but the execution is taking its toll. WinUI introduces changes which, if not optimized perfectly, make the system suffer: it chokes waiting for data in the same thread that draws the interface. This explains why the browser feels heavy or why the start menu and taskbar they disappear after security updates. In fact, in a community meeting which you can see on YouTube, confirm their mission to migrate legacy surfaces to WinUI 3 to modernize the OS, admitting the difficulties that have arisen. It’s not just design. Beyond the UI layer, the latest version of the OS has been a minefield where Microsoft has had to constantly rectify. The result is components that have been failing, both due to WinUI and for reasons unrelated to it: The interface: contextual menus were born slow and cluttered, forcing Redmond’s redesign them now to fix the usability problem they created. Even their own managers have admitted publicly that the Start Menu “is very annoying” and needs corrections. Stability: we have suffered since updates that caused blue screens for processor incompatibilities to specific performance issues on AMD chipspassing through surreal glitches where the file explorer overlapped to other windows. Security: the renewal of the OS has reached disrupt vital functions such as “Local Authority Protection” (LSA), unintentionally disabling it with a patch. The community acts as a patch and resistance. Given the slowness to fix latest visual bugusers have taken control. The discovery is revealing: disabling the modern command bar (based on WinUI) using tools not only eliminates white flashes, but speeds up program loading and reduces RAM consumption. But this community has also been reluctant to Windows 11: they use tools like Rufus to bypass the TPM requirement (controversial at launch) or modified versions like Tiny11 to clean bloatware. It seems that the advanced and enthusiastic user prefers to modify the system rather than accept Redmond’s official vision. The nostalgia cycle. All this fuels the eternal debate about the “good” and “bad” versions of Windows. Today many idealize Windows 10 for its stability, forgetting that in its first years it suffered fierce criticism for forced updates and privacy. Windows 11 seems to be stuck in that difficult phase of the cycle, aggravated by requirements that left out many functional PCs. Open Source to the rescue? As Microsoft pours resources into the ARM revolution and Copilot+ PCsthe desktop does not finish fine-tuning. The company seems aware and recently announced plans to make WinUI open sourcein order to accelerate the improvement of the base technology that currently hinders the system. Perhaps involving more developers will help make this interface development framework cleaner and more stable, although it does not imply that the bugs in Windows 11 (proprietary code) will be fixed because of this. However, the developer community is skeptical, pointing in specialized forums that WinUI has performance issues. Until Microsoft manages to make this new element as solid as the classic, and satisfy the enormous hardware park that installs it, Windows 11 will continue to pay the toll of modernity with some occasional instability. Cover image | Composition with images by Pepu Ricca and Javier Penalva for Xataka In Xataka | The ghost of IBM: Satya Nadella’s great challenge is to prevent Microsoft from becoming a technological fossil

A Bugatti Mistral costs five million dollars. Launching it includes convincing the police to organize a race

by

It’s not every day that you can brand new a Bugatti Mistrala supercar valued at more than five million and that the CEO of Bugatti himself come deliver it to you in person. However, it is not so common that for this delivery, the CEO has to convince the police that it is a good idea to cut off one of Miami’s coastal roads to traffic to debut the supercar by racing between the Mistral and a custom-built sports yacht for the same owner. Although it may seem very bizarre, these things can happen when you are millionaire enough. A very particular premiere in Miami The delivery of a Bugatti Mistral is never a routine event. It’s a exclusive supercar of which only 99 units were manufactured that were they sold the same day that was put up for sale. However, when you pay five million euros for one of these exclusive jewels, the least you expect is that the CEO of Bugatti himself will come to deliver it to you in person. According to published Luxury Launchesthat’s what happened to Anthony Hsieh, a millionaire from Miami who received the exclusive unit of this supercar. The staging, far from being limited to a simple presentation in the dealer who had sold it to himincluded an unusual proposal: a race in front of the sea competing head to head with one of the exclusive yachts for sport fishing that Hsieh’s company builds. Bugatti’s CEO also joins in Mate Rimac, founder of the brand Rimac supercarscurrent CEO of Bugatti and a true speed enthusiast, did not want to miss the race and got so involved that he finally ended up offering to drive the Mistral in its race against the yacht. Obviously, the CEO wasn’t going to risk getting pulled over by the police or having the car’s owner fined, so he opted to convince Miami traffic authorities to close one of Miami’s busy coastal roads for the race, and This is how he told it on his networks social. A routine delivery for a Bugatti. Bugatti Mistral W16 engine The Bugatti Mistral uses the brand’s legendary W16 engine, an engineering gem what brand the end of an era for the brand since this is the last production model that will carry this 8-liter, 4-turbo block that delivers a power of 1,600 hp. Such a beast catapults the Mistral at a speed above 453 km/h. Her opponent was not exactly a cruising yacht. It is about the Badco 50 Gameboata boat designed for sport fishing of tuna and billfish (a large species similar to swordfish) and therefore must have agile and powerful engines that allow it to navigate at speeds of up to 44 knots. Like the Bugatti, the Badco 50 are customized to the owner’s taste with materials of the highest quality and resistance. Saying that the Badco 50 is a simple fishing boat is like saying that the Mistral is just a car. Furthermore, it so happens that the company that manufactures the Badco 50 is Bad Company Fishing Adventures, It is owned by the millionaire who bought the Mistral, so organizing this race, which as you can see in the video that was recordedis more symbolic than real, the brand sought to turn the delivery of the supercar into an unrepeatable experience for its customer. It’s not every day that the head of a supercar brand makes you luxury chauffeur in the car that has just been delivered to you and all followed by a police escort. If at this point you are still wondering who was the overall winner of the racethe answer is more than obvious: Mate Rimac, and not just by driving the car fasterbut because he took in his pocket the five million that the Bugatti Mistral costs and the absolute loyalty of a customer who will never again receive a car like Bugatti did with his Mistral. In Xataka | Bugatti has discovered that millionaires no longer want to buy luxury cars: they want to buy unique works of art Image | Bad Company Fishing Adventures

In the midst of a race towards immortality, China believes it has found a way for us to live 150 years: with grapes

by

Aging is the objective that a good part of society has right now with different diets to look younger, ‘anti-aging’ treatments or even cocktails that promise this (although our biology has a fairly clear limit). Now, China is targeting a biotechnology company that affirms be developing a pill capable of prolonging human life to 150 years. A simple grape. A priori it seems that it has nothing to do with human aging, but we are quite wrong. The Shenzhen biotechnology company claims to have identified in its seeds a compound called procyyanidin C1 (PCC1) which achieves the effect that many want and has a great antioxidant effect. Zombie cells. To understand how this supposed miracle compound works, we must first talk about the enemy of aging: senescence cellular. As time goes by, some of our cells stop dividing, but they do not die. They remain in a state of limbo, accumulating in the tissues and secreting inflammatory substances that damage neighboring cells that are not so lazy and continue dividing. These cells that do not want to die is what known as ‘zombie cells’ because in the end there are quite a few parallels. As. Once taken into account, this is where PCC1 comes into play, which is nothing more than a natural flavonoid. Where the interesting begins is in a key study published in Nature Metabolism where it is pointed out that PCC1 acts as a senolytic agent. This means that it has a fairly important selective capacity to act on the cells that are bothering us the most. Specifically, at low doses, PCC1 inhibits the toxic substances emitted by zombie cells, but at high doses it kills them without harming healthy cells. And up to this point everything is quite solid, since it has been scientifically proven. There are ‘buts’. The scientific basis that the Chinese laboratory uses for its claims comes almost exclusively from animal models to whom this substance was applied. In this way, the researchers achieved several things by applying PCC1 on old mice: Reduce the load of senescent cells in vital organs. Reverse motor dysfunctions, making the mouse have more strength and better balance. Increase life expectancy between 9 and 60%. The big ‘but’ we found is that it has only been tested on mice and not on humans. And given this we can ask ourselves something quite simple: why are we skeptical about the claim of 150 years in humans? There are several reasons to be so. The first of them is that saying that because a mouse lives 60% longer, a human will live 60% longer is also a biological fallacy. The metabolism of mice and humans is not similar at all, and that is why there are drugs that, although they have worked in a mouse, have failed in humans. we are not equal with the mice. That’s why we don’t age in the same way. Although it is true that humans have senescent cells that are related to aging, we are much more complex. Aging involves genomic instability, telomere shortening, mitochondrial dysfunction, and stem cell exhaustion. That is why cleaning the ‘zombie cells’ could improve health in old agebut it is unlikely that on its own it will make us exceed the current biological limit of our species. This is also added to the fact that to date there are no published clinical trials that support the safety and effectiveness of using this compound in the human body. That is why, in conclusion, we can conclude that PCC1 is a very important finding to identify a door to therapies that make us age better. But talking about extending life to 150 years undoubtedly presents many doubts, since surely this ‘Chinese pill’ will not make us immortal overnight. Images | Maja Petric Daniel Franco In Xataka | Not all brain cells age at the same time: we have found a “hot spot” of aging

In a financial carom, Google has stood up to NVIDIA, leaving an unexpected winner in the crazy AI race: Larry Page

by

NVIDIA promised them very happy being the best-positioned AI chip manufacturer. At least it was until Google has started making chips. This new scenario has excited investors, who have rushed to buy Alphabet shares, making your price goes up up to 6.3% from one day to the next, and accumulating an advance of more than 75% since its August price. This increase in the value of Google’s parent company has also coincided with a dip in Oracle’s valuation, which has caused chaos on the podium of the world’s largest fortunes. according to Forbes. What AI gives you, AI takes away. A few months ago, Larry Ellison, founder of Oracle rose as the second largest fortune in the world, overtaking Mark Zuckerberg. His fortune reached 291.6 billion thanks to the good growth prospects posed by the construction of the data centers for AI. In fact, the Oracle founder’s fortune grew so much that he was close enough to the unattainable Elon Musk as to threaten its position on that list. Just as AI raised Larry Ellison to become the world’s second-largest fortune, AI he has taken that place away to hand it over to Larry Page, who reaches that position with a fortune of 261.5 billion dollars. Google rises, Oracle falls. He Google stock rally contrasts with the downturn suffered by the main architect of the cloud infrastructure in which AI lives, leaving up to 6.79% of its price in recent days. This decline has meant that Ellison’s fortune, with a strong influence of Oracle on its income balance, has suffered, falling to $256.7 billion, being displaced to third position. That same stock market momentum of Google has taken another founding partner, Sergei Brin, to fourth position, with a fortune of 242.4 billion dollars, while Alphabet shares brought the company closer to a market capitalization of almost 4 billion dollars. Mark Zuckerberg and Jeff Bezos didn’t even see it coming. The most pronounced falls in recent months have been those of Jeff Bezos and, above all, Mark Zuckerberg, who, accustomed to remaining in the Top 3 of the greatest fortunes, fall to fifth and sixth position in the ranking of Forbes. The decline in Mark Zuckerberg’s fortune is especially striking, due to the poor performance of Meta shares in recent weeks. Interestingly, Meta shares have broken their downward trend following Google’s announcement to get into the semiconductor business for AI and the rumors that Zuckerberg could change NVIDIA processors for the Tensor Processing Unit manufactured by Alphabet. Larry Page and Sergei Brin: same company, different fortunes. Although Page and Brin co-founded Google and share control of the company through their shares, both millionaires do not own exactly the same number of shares, and that detail makes a big difference in their assets. According to public statements of Alphabet before the US Securities and Exchange Commission (SEC), between the two magnates they concentrate 87.9% of Alphabet’s class B shares, which grant 10 votes per title. However, the figures show that Page has just over 389 million shares, while Brin account with some 362.7 million of these shares, which makes Page the main beneficiary of the rally in the shares of the company they founded. Brin has been more generous with science. The key to this gap is that Sergei Brin has been much more active than Page in donating and selling part of his stake in Alphabet, and that has reduced his share package over time. Brin has been targeting large volumes of Alphabet and Tesla shares to research donations of treatment against Parkinson’s disease, bipolar disorder or autism, after being discovered a genetic mutation which made him prone to developing that disease. In Xataka | Larry Page and Sergey Brin founded Google and became millionaires. Now they are dedicated to collecting gigantic airplanes Image | Flickr (Fortune Global Forum, TED Conference)

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.