companies

Replacing workers with AI sounded spectacular. There are already companies backward

by

That an AI takes away our work is A fear That is being realized. More and more companies that bet on replacing human employees with automated processes with AI. At the same time, the potential that the AI agents It seems almost unlimited. The reality is much more complex and there are already some companies that have had to give reverse in their plans. Yes, but to supervise her humans. There are many companies that have begun to draw a plan to replace their employees with AI, especially in the sector of the customer service. However, according to a survey of Gartner, 50% of companies are abandoning this path due to the challenges that the transition to a service managed only by AI is assuming. 95% of the executives surveyed claimed that they would bet on a hybrid approach combining AI and Human agents. In the words of Kathy Ross, director of the Gartner customer service: “IA offers significant potential to transform customer service, but it is not the panacea. The human touch remains irreplaceable in many interactions.” The Klarna case. Perhaps the most popular case of a company that has regretted betting on the AI ​​is that of Klarna. In February 2024, his CEO presumed that an AI was doing the work of the 700 employees who had just fired and also assured that he was receiving the same score from the clients. A year later, the quality of service offered by AI received many criticisms and had to back to hire human labor Ensure that customers can always talk to a human agent. Not so quickly. Although currently the agents of AI are not so reliable As Altman promisedit does not guarantee that they will not improve in the future. In addition, there are cases of other companies to replace humans for AI has gone well. Like the CEO of this Indian startup that He fired 90% of the template And a year later he states that it has been A success. And it is not the only one. Duolingo, for example, fired 10% of its translators to replace them with an AI. Other large companies such as UPS and Cisco They have followed similar paths. The case of IBM It is particular, since, although it has opted for AI, it has also had to hire more workers precisely to manage that AI. IA agents. With the generative AI in decelerationsince the end of last year there is another concept that has gained relevance, that of the AI agents. While chatbots can only attend one request at the same time, an AI agent is able to perform more complex tasks. For example, you could organize the holidays only to mention the dates and destiny. The promise of autonomy, the ability to handle several tasks at the same time and make decisions make the AI ​​agents A threat to many jobs. Unreliable. We can all make mistakes and in this it seems that AI agents are very human. The problem is that if an AF agent makes an error, he continues to repeat in successive tasks, making the error increasing And the final result is also wrong. We have also seen other uses of AI tools at work that have not fully went well, such as disastrous work interviews conducted with AI. A revealing experiment. A experiment carried out by researchers from the Carnegie Mellon University He suggested that they are still very green. They created a fictitious software company whose employees were AI agents. They used Google, OpenAi, Anthropic and Meta models, to which they assigned roles such as finance, administration or software engineering. The result was disastrous: they only managed to complete 24% of the tasks assigned to them. AI and labor market. The impact of AI on the labor market is undeniable. According to the last World Economic Forum Reportit is expected that by 2030 92 million jobs will be destroyed due to AI automation. But there is another face of the currency. At the same time, they will be created 170 million new positions And the AI ​​will be one of the job creation engines, something we have already seen with Salesforce’s case. Cover image | Pixabay In Xataka | The workers have stopped fear of AI as a machine to destroy jobs: software engineers do not think the same

Every year millions of packages are lost during shipments. So there are companies that are selling them to weight

by

Only in the United States They lose or steal 1.7 million packages every day. In Spain the latest data from the TDI logistics group They revealed that more than two shipments were lost per minute. The curious thing is where at least part of them end: they are shown to weight. Millions of lost packages. According to They indicate to EFE From the employer of the logistics sector one, in Spain more than 3.3 million packages are sent per day, and the cases of loss involve a tiny fraction of 0.001% (about 3,300 per day). A simple error on the label or lack of centralized information can cause these problems, and that is where some companies recover them to resell them. Reversing weight. Services such as Crazy Day Factory, My Mystery Package, Merkandi, LotesDevolutions, or King Colis are dedicated exactly to the same thing: acquiring those lost packages to often resell them as part of surprise boxes that are sold to weight. As they point out in the confidentialin Kink Colis for example they establish a price of 1.99 euros per 100 grams in standard packages and 2.79 euros in the premium type. A lot of noise and few chollos? In King Colis FAQ, a French startup, they explain that buying this type of surprise packages can be very profitable, because one “can contradate state -of -the -art technological devices to clothing or accessories of recognized brands.” However, they also warn: “Not all lost packages necessarily contain treasures. There is a part of chance!” You don’t know what you buy. One acquires these packages to weight, but does not really know what he is buying. As they revealed in the nationalin stores such as my mystery package open ephemeral stores throughout the year in different municipalities to give out these packages, but there is a key requirement: the package cannot be opened until after buying it. And that implies risks. These lost packages are not checked and therefore can be damaged, be defective or have a much lower price than the buyer ends up. In Lotes Devolutions they explain that those products that put on sale – which are returns, not lost shipments – do not go through a previous check, which can end up causing a disappointing surprise effect. Packages are sold repaired without visible brands to eliminate commercial references, turning the purchase into a riddle … or a bet. The psychology of surprise. The surprise boxes such as those offered by all these businesses take advantage of known phenomena of human psychology. Several researchers published in June 2024 A study in which they revealed how the stimulus-organism-response (Sor) causes that impulsive purchase out of curiosity without intervening conscious thinking. We think quickly instead of thinking fast, as the Nobel Prize Daniel Kahneman in his famous’ stood out in depth.Think quickly, think slowly‘. Previous experience. In Xataka we were able to meet this type of business last year, when we went to an old warehouse on the outskirts of Madrid to try to locate some cholt between the chaos of Amazon returned products that a company put on sale. There was no surprise effect here and the proposal is something different, but the conclusion was already clear: we had no luck and after hours of search we went out empty. Finding chollos, whether by surprise or not, is not easy. Image | Chuttersnap In Xataka | The end of free online returns: Zara, Pull and Bear and more stores begin to collect them

Whole China is of exams. So AI companies are laying their chatbots so that students do not cheat

by

In Spain the students recently passed By the Pau test (Before EBAU, EVAU or Selectivity), and now something similar is happening in China, where Chinese students face Gaokao (高考), the National Access to University Exam. And they do it with an almost obligatory novelty. Nothing to cheat with chatbots from AI. The most popular chatbots in China Like Qwenfrom Alibaba, have temporarily deactivated functions such as image recognition. They have done it precisely to prevent such characteristic from being used as a modern “chop” To help them during these tests. Impartiality in the tests. The same has happened with Yuanbao (Tencent) and Kimi (MoNshot), two other popular chatbots in China, which have also deactivated that image recognition characteristic. When trying to use this function, they indicate In Bloombergthe text “appears” to guarantee the impartiality of the university access tests, this function cannot be used during the test period. “ An exam in which the future is played. The Gaokao was held for the first time in 1952 as part of the reform of the then newly created People’s Republic of China. The access processes to universities changed during Mao Zedong’s mandate, but in 1977 Deng Xiaoping recovered them and have continued to be used until today. There are 16 provinces with personalized exams, but in all cases the conclusion is the same: these tests determine the immediate future of students In the academic aspect. Designed and printed in jail. Gaoako access tests are so important that they are designed under strict security by a small team of teachers. These professionals are sent to isolated site of Beijing as military facilities or prisonswhere they make the questions. They cannot leave those locations until the tests are performed, but it is also that most exams are printed within prisons and each “printing” is protected 24 hours a day by cameras and guards. Even its transport to the centers is done with security measures that one would expect in money transports from banking entities, for example. Everything to prevent the questions from leaking. Scratch note. Chatbots are presented as a spectacular help for these students, and students – and their parents – know it. The note of these exams determines whether the student may or may not access the best careers and university institutions, and that also depends on their future positions, salaries and even their social mobility. Competitiveness is also huge: More than 13 million students They are presented to these tests this year. To achieve better notes, all kinds of solutions are used, from particular teachers to these attempts to cheat. Of photo recognition, nothing. The tests have taken place from 7 to today, June 10. The Alibaba chatbots (Qwen) and bytedance (Doubao) offered the Image recognition for AI until last Monday. However, according to Bloomberg if a user asked for the solutions to a problem in a paper that was taken a photo, Qwen replied that the service was temporarily disabled. In Doubao the message indicated is that this request “did not meet the rules.” AI is fine to learn, but not for exams. In Beijing they launched recently A plan to integrate the teaching of AI at school. Although this type of discipline in classrooms is being tried, one thing is that they learn to use it and another very different that students take it to cheat in these tests. In fact a new set of standards Published by the Ministry of Education of China last month established that students should not use the content generated by the response in their duties or in the aforementioned exams. The objective: that they do not depend too much on artificial intelligence. Image | 绵 绵 In Xataka | The 100 best universities in the world excluding those of the US, exposed this graphic revealing

the 15,000 ninja companies that dominate key niches without anyone knowing them

by

China not only manufactures giants such as Alibaba, Tencent or Tiktok. He has built meticulously An army of 14,600 “small giants” that dominate fundamental industrial sectors, but without making noise. Why is it important. While in the West we follow the track of BydXiaomi, Bytedance or Huaweithese specialized SMEs are those that control the pieces of the industrial puzzle. Sensors, aerospace components, specialized semiconductors: the niches where technological supremacy is really won or lost. The context. He “Little Giants” program He was born in 2015 as part of “Made in China 2025“Its objective: push highly specialized medium -sized companies to develop competitive advantages in specific sectors. A surgical model against the model of large state companies. There are 15,000 “small giants” with official certification. Almost 90% are in the manufacturing sector. More than 80% focus on emerging strategic industries such as integrated, robotic or aerospace circuits. And almost 5,000 work in AI AND CLEAN ENERGIES. That is happening. Each “little giant” receives state support to dominate a specific niche. Submarine cables, superconductor materials, quantum sensors, satellite systems … technologies that seem lower but vital for global supply chains. And for Chinese military development. Some examples: Leaderdrive: Specialized in precision harmonic reducing. Endovtec: Develop advanced endovascular devices. Phabuilder: Biotechnology to produce industrial materials. Acoinfo: Develop real -time industrial operating systems. Guizhou Anda: Battery materials, supplies Catl and Byd. WELION: solid state batteries of high energy density. JIASHIDA Robot: Domestic cleaning robots. It is no accident that The United States has already included many of these companies in their blacklist. They are the real threat: not the brands that anyone knows, but those that manufacture the components that make the world work. This “unique champions” strategy makes medium -sized companies practically monopolies into ultra -specialized sectors. Result: If you need a certain type of semiconductor or components, you have no alternative. And that company is subsidized, protected and backed by the Communist Party. Outstanding image | Acoinfo In Xataka | China has an ambitious plan to overcome the West in Technology. And he has already chosen his 18 companies to get it

We have been concerned about what companies with our data do. Brazil will allow money with them to win

by

Brazil has just crossed a line that promises to change forever the relationship between its citizens and their personal digital information: digital wallets to moneture their data. Why is it important. The South American country has announced The first national program in the world which allows its citizens to own, manage and monetize their fingerprint. Brazil has decided to convert this information into economic assets for those who generate them instead of simply seeing how their citizens give data to technological ones. The initiative, administered by Dataprev – state technology company – in alliance with the Californian Drumwave, will create personal data savings accounts. Users may deposit the information generated by their daily activities and receive economic offers from companies interested in buying it. In detail. The system works like cookies of third partiesbut with a turn: instead of simply accept or reject, users can choose to make money. When they request a loan, for example, the contract data will be stored in their digital portfolio, and companies will be able to bid for them. “People don’t get anything from the data they share,” explains Brittany Kaiser, co -founder of Own Your Data Foundation and Drumwave advisor, according to the official statement. “Brazil has decided that its citizens must have property rights over their data.” The pilot starts with a small group of Brazilians who will use loan portfolios. After accepting an offer from a company, the payment is deposited in the portfolio and can be transferred immediately to a bank account. The context. This movement places Brazil ahead of the United States, where a similar initiative of the governor of California, Gavin Newsom, It was raised in 2019 But he never took off. If it is completely implemented, it will be the first public-private association that allows citizens-not to companies-to obtain a personal data market share. Yes, but. Some specialists in Brazilian data protection have expressed serious doubts. In a country where three out of ten people are functional illiteratesaccording to official data, there is a risk that vulnerable populations sell their data without understanding the consequences. “We will be asking for half of the country that you don’t know how Rest of World. “People in vulnerable situations will say yes, and that could be used against them.” The background. The Brazilian Congress works on a bill that would classify data as personal property, exceeding the current legislation that considers them an inalienable right. The new regulations would give people complete rights about their personal information, especially that generated “through the use and access of online platforms, applications, Marketplaceswebsites and connected devices “. And now what. If this is consolidated, Brazil will sit a precedent that other countries can follow. The proposal promises “a correction in the historical imbalance of the digital economy,” according to Rodrigo Assumpção, president of Datapre. The idea: transform personal data into assets for those who provide them. For companies such as Google, Meta or Amazon, accustomed to obtaining valuable data “simply” offering their platforms also for free, this proposal is an earthquake. For users it could be the first step towards a world where each clickeach search and each digital movement has a tangible market value. Outstanding image | Samuel Costa Melo and Campaign Creators in Unspash In Xataka | The AEPD already knows where the data of millions of freelancers who were on sale on the Internet have come from: the Chamber of Commerce

Four AI companies control how Half Mundo reasons. It is the greatest concentration of intellectual power in history

by

While the public focus is concentrated in the possibility that the AI ​​will take our job ahead (Business Insider 21% of its template has just announced citing it as a cause, the CEO of Axios has published A text by the chungosAnthropic’s CEO has shouted “that comes the wolf” to justify that only they can save us), In the background something less visible is happening: We are giving our intellectual autonomy in favor of efficiency and comfort. It is not just that four companies –Openai, Google, Anthropic, Meta – are building the infrastructure with which millions of people resolve doubts and make decisions. They not only manage data: they also protect the way we link ideas. The Great Chinese of AI They are out of this equation for a simple reason: their still domestic approach without the international vocation of the Americans. Google (the search engine) was and is influential, but with it we have had to spin our own speech: Cotejar Fuentes, Weighing biases, assume contradictions. The generative AI instead serves a round response that It sounds coherent even when hallucin And that’s why he demands less surveillance. The result is that we are replacing the “internal process” with an external verdict covered with a technological aura that deter the replica. Whatever you say, Chatty. Delegate is too tempting. Save time and headaches. The problem is that we do not subcontract logistics, but criteria. We ask Chatgpt A professional strategy. TO Claude A curriculum. TO Gemini today’s interpretations. In doing so we accept without discussing the biases and empty of a trained model about texts that we will never see. It is an invisible assignment and, therefore, difficult to question. Never before so few hands had defined what questions can be asked and what answers sound reasonable. History has known infrastructure monopolies – electrity, internet, railways – but never one about reasoning patterns. Now another qualitatively appears: It operates on the symbolic plane, where narrative frames are defined through which we understand the world. Very subtle and very decisive. What previously implied a deliberation – read, contrast, imagine scenarios, weigh nuances – today becomes an instantaneous response, of definitive appearance. What to think about euthanasia? How to react to infidelity? What economic model is more fair? We no longer look for elements to think: we look for the correct answer The faster and more comfortable. And we accept as valid the one that sounds best, even if it ignores what does not fit in your narrative. Its effects will not be immediate, but predictable: a slow loss of variety in thought, of ideas out of the ordinary. Platforms have progressive consequences. Tiktok and Spotify, for example, They have made the songs last less and the chorus arrive before. What consequences will the LLMS within fifteen years? If we all consult models that converge towards average responses, intellectual eccentricity – culture rate for innovation – It will be increasingly weird. There is hardly a brake for AI, but perhaps at some point we have to decide how much reasoning we are willing to deliver before staying without it. Outstanding image | Xataka In Xataka | Deep Research is not just a new AI function. It is the beginning of the end of intellectual work as we know it

The great AI companies have declared a underground war to a pillar of education: human teachers

by

We would all like to have a Keating Professor In our lives. One that made us get on the desks to see things from a different perspective and that he would teach us that the most important lesson he has for us is summarized in the words “Carpe Diem”. There are very few who approach that image, but all of them, bad or good, threatens them the same future as Other professions: Be replaced by an AI. Professor 24/7. The narrative of several AI companies is clear: the human teacher is a bottleneck. Each of them serves many students, their knowledge is limited and their finite availability. The AI, they assure those companies, proposes a remarkable alternative. Personalized professors 24/7 with infinite patience and access to all the knowledge of the world. There is a clear problem: that message devalues ​​the teacher’s function as a guide, mentor and catalyst for curiosity and reduces it to a mere transmitter of information. Continuous evaluations. Another of the pillars of the educational system – and one of the tasks that most consumes the teaching staff – is Student evaluation. The AI ​​promises to correct efficiently, massively and immediately, releasing the teacher for other tasks. But again in human evaluation there is much more than a mere correction of errors. The effort, the reasoning process, creativity, originality or even the personal context of the student are evaluated. Biases also pose a clear threat to these evaluations, in addition to promoting a model Based on the correct answer and not in the reflexive process. My school is OpenAi. So far schools, universities and other academic institutions are the guarantors of a theoretically coherent and quality curriculum. The approach of the companies of AI would be that of Become them In “Guardians of knowledge” deciding what is important to learn and how. The risk: lead to a fragmented education and dictated by the interests of the market, eroding the role of education as a pillar of society. Threat to humanities. The AI ​​also raises the irrelevance of memorization – it can already respond to all known knowledge – and bet on skills such as “Prompt Engineering“(know how to ask things to AI) or Technical subjects (Stem). That suggests a clear impact to matters of humanities and critical thinking that we do not apply directly. Fields such as philosophy, art or social skills, hardly quantifiable, would go to the background. The objective would not be as much to train and prepare workers for the technology industry. Goodbye to social investment. Companies that bet on that model have a clear objective: climb and be profitable. AI technology applied to education promises a lot of savings (less physical infrastructure, less teachers) and a highly scalable business. But also imposes a worrying revolution to one of the pillars of society. Bill Gates believes in the future of the teachers of AI. Among the experts who outline that idea is the figure of Bill Gates, co -founder of Microsoft. His commitment to the teachers of AI It was early: Chatgpt had been in the market for just five months when he said that “AIs will reach that capacity, to be as good tutors as any human being.” For him, this technology should also be a “leveling” for society. According to Gates “having access to a tutor is too expensive for most students, especially if that tutor adapts and remembers everything you have done and review your work.” Openai and Khan Academy have the same vision. A year ago the presentation of GPT-4O surprised among other things for that capacity offered by this AI model to talk directly to him. One of the OpenAI demos, carried out in collaboration with Khan Academyhe showed Sal Khan, his founder, contemplating how his son used the model to receive a geometry lesson. The interaction was impeccable and pointed to a future full of teachers of ia locked in our tablet, our mobile or our computer. Khan is of course interested, but it doesn’t hurt see your ted talk on “how AI could save (not destroy) education.” Schools converted into nurseries. Luis von ahn, Founder of Duolingothe poular application to learn languages, it also takes time turning towards the AI. A few days ago he participated in the podcast No priorsand there he commented how although there are very good teachers, “there are not many.” For him, education will change radically because “it is much more scalable to teach with which with teachers.” Even so pointed out That does not mean that teachers disappear: “You will continue to need people who take care of students”, but focused on a new role: “I don’t think schools disappear, because you need nurseries.” Image | Buena Vista Pictures In Xataka | Towards the end of duties: how chatgpt has been inserted in the center of the great debate on education

Japan’s commitment to lead the chips industry is held on these three companies

by

For Japan, as for South Korea, Taiwan, China or the US, the semiconductor industry has a strategic character not only because of the deep beneficial impact it has on its economy, but also by the impulse that gives its technological capacity. This is the context in which the Japanese government announced in the middle of last November A public plan that will injected into companies that are dedicated to the design and manufacture of chips no less than 325,000 million dollars within ten years. In addition, it prepares additional 65,000 million that seek to support the activity of local companies. There is no doubt that it is a very strong and more ambitious bet even than those designed by the US, China or Europe. Only South Korea prepare an economic investment of a similar size. The first reactions of Japanese companies have not been waiting. “We are working with our clients to develop technologies that teach four generations in the future.” These words of Nobuto DoiVice President of Tokyo Electron, are a declaration of intentions. However, before moving forward in this article it is important that we briefly review where Japan comes from. At the end of the 80s this Asian country dominated the global industry of the integrated circuits with an indisputable forcefulness. Nec, Toshiba, Hitachi, Fujitsu, Mitsubishi, Matsushita and other Japanese companies They monopolized in 1988 Nothing less than 50% of the chips industry. However, today none of these companies is positioned among the leaders of a sector dominated with iron fist by Taiwanese, American, Chinese, South Korean and German companies. Tokyo Electron: Japanese Asml This company is one of The pillars of the Japanese industry of integrated circuits. It is dedicated to the design and manufacture of lithography and waking -up equipment, so its machines often live together in the TSMC, Intel, Samsung, Micron Technology or SK Hynix plants, among other companies, with the teams of the Dutch company ASML or the American Apply materials. Its importance for Japan is such that it is currently one of the Japanese companies that are being backed by subsidies approved by the Japanese government. The new Tokyo Electron plant in Oshu will be intended for the manufacture of advanced team deposition equipment and logistics In fact, it is building several buildings in the prefecture of Miyagi that will presumably be completed in 2025. The most ambitious project that will address in these facilities will consist of the design and manufacture of some some WAFSMA TEACHING BY PLASMA Very advanced. They are precisely the machines that Nobuto Doi speaks in the statement that I have included in the second paragraph of this article. These equipment are involved in the definition of the pattern that will later be transferred to the wafer. The Japanese company Hitachi also has plasma wafering engraving machines, but the singing voice in this particular market has tokyo electron. Apparently the engineers of this last company are working side by side with their clients to develop solutions that, according to doi, four generations ahead will be positioned. However, its plan goes beyond the facilities of the Prefecture of Miyagi. And it is that Tokyo Electron is also building a new plant in Oshu, in the prefecture of Iwate, which will be intended for the manufacture of advanced wafering deposition equipment and logistics. We can be sure: Tokyo Electron is the Japanese Asml. Without it, the ambitious plan pergeted by the Japanese government for its semiconductor industry would not be viable. Rapidus Corporation: The spearhead of Japan The company that is destined to compete from you to you with TSMC, Intel or Samsung in the chip production market is Rapidus corporation. In fact, it has been expressly created to replace Japan at the forefront of integrated circuits. This is a very young company. It was founded on August 10, 2022 by the Japanese government with an initial capital of 7,346 million yen (just under 46 million euros) contributed by, and here comes the interesting, Sony, Toyota, Nec, Softbank, Kioxia, Denso, Nippon Telegraph and Mufg Bank. The initial capital invested in the constitution of this company is not very bulky, but there is no doubt that the companies that participate in it have an indisputable relevance in the sectors of technology, automotive and telecommunications. Rapidus is currently putting a circuit manufacturing plant integrated in northern Japan, in the city of Chitose (Hokkaido), in which it plans to produce 2 Nm semiconductor. The first prototypes of these chips are already readybut large -scale manufacturing will not arrive at best until 2027. Rapidus is making a chip manufacturing plant in northern Japan in which it plans to produce 2 Nm semiconductors What is causing the new Rapidus factory to monopolize the looks of the semiconductor sector is that, according to Atsuyoshi Koike, which is the president of the company, it will be completely automated. Its purpose is to resort to robots and artificial intelligence (AI) to tune an automated production line that will be specialized in the manufacture of 2 nm chips for AI applications. Its plan consists, in short, to produce integrated circuits faster, with a lower and more quality cost. To manufacture these semiconductors, equipment of extreme ultraviolet lithography (UVE) produced by the Dutch company ASML, and practically all manufacturing processes are automatic. However, the tests of test and validation, interconnection and packaging of the chips are still largely carried out manually in most manufacturing plants. According to Rapidus, its automation technology of all these processes will allow you to reduce the delivery time of your chips by 66% compared to the times they usually offer TSMC and Samsung. JSR Corporation: The photor resistance monopoly is in his hands There is a Japanese company that is indisputably leader in its specialty. It is little known outside the scope of the semiconductors, and yet it is one of the bastions of Japan. Is called JSR Corporation and specialized in the production of photorers. The photolithography equipment designing and produces ASML … Read more

Bitcoin has just achieved a new historical maximum of $ 110,000 because banking and companies have gone from hating him to love him

by

Bitcoin broke the $ 111,000 barrier this Thursday and marked a new record. The difference is that while in other records the reasons had to do with external events, here the growth is mainly due to one thing: the interest of some institutions that for years reneged of this type of investment. 111,878 dollars. A few hours ago, as indicated in Coindesk, a Bitcoin worth 111,878 dollars, a figure never seen before and that seems to confirm that renewed optimism that investors have recovered for this cryptocurrency. A singular recovery. The tariffs announced by Trump affected not only the world bags, but also the cryptocurrencies, which fell significantly. It also happened with Bitcoin, but since they were announced Pauses and exemptionsBitcoin’s growth has been clear. On April 9, it was at $ 76,000, but since then its value has been increased more than 45%. Institutional love. The demand for this cryptocurrency not only comes from cryptoactive funds or traditional sale markets (exchanges): companies and institutions are now becoming large sources of investment and begin to treat BTC as a value reserve. And business. There are several companies that are betting hard on Bitcoin. In fact, some are turning cryptocurrencies into their true focus. The most extreme case is Strategy (formerly Microstrategy), which already has 576.230 bitcoins In his possession (about 63.8 billion dollars), more than 2.5% of all those in circulation. An absolute “whale” of this segment. The ETF work. The approval of the funds quoted in the stock market (ETF) based on Bitcoin has certainly changed the panorama in the United States. These mechanisms open the door for many more investors to enter this financial segment now that it is more “standard”. Analysts such as Jeff Mei, from the BTSE sale market, indicated that growth “will probably continue, especially as more companies go to public markets and ETFs.” JP Morgan will allow Bitcoin to buy. If there has been a denial of Bitcoin, that has been Jamie Dimon. The JPMorgan CEO has renegated for years and other cryptocurrencies, but this week announced that it would allow its customers to buy Bitcoin to the clients of the entity. Of course, he did it by reiterating his skepticism about these assets. In Spain the same is happening. Traditional banking was also reluctant to offer this type of investment, but little by little the entities are offering this possibility. The BBVA has been the last great exampleand the same goes for CaixaBank, which allows it although not proactively. And this may lead to another momenty moment. This striking growth of Bitcoin could have a renewed interest on the part of investors who do not want to lose the train. The Fomo effect (Fear of Missing Out, the “fear of lost it”) is powerful in the financial field, and analysts raise new increases by that upward trend. The evolution of other cryptocurrencies with great market capitalization (billion dollars) has been similar to that of Bitcoin. Even greater, in fact. Data: Coinmarketcap. The rest of the market accompanies. Bitcoin’s evolution is solid in recent weeks, but so is the recovery of other cryptocurrencies that had also fallen remarkably and now have recovered part of the lost. The difference here is Bitcoin is marking historical maximums, but others such as ETH, XRP, Solana or Dogecoin are still far from the values ​​they reached in the past. ETH, for example, reached $ 4,900: it is currently 2,645. In Xataka | A British did not let his album search with Bitcoins in the trash for years: now he considers buying the landfill

All AI companies promise that the AGI will arrive very soon. The problem is that chatgpt is not the way

by

In December 2022 chatgpt He left us speechless to all. However, two and a half years later we have a problem: it does not seem that after all this time I can go to much more. It has improved, yes, but in the meantime we are moving away from the great promise of AI, which is none other than going beyond and that someone manages to reach what is known as the General Artificial Intelligence. And it seems clear that this path, that of Chatgpt, is not the good to get it. Promises, promises. A few months ago Sam Altman called the president of the United States, Donald Trump, and He said that the AGI would arrive before it ended its mandate. It is a message that has been repeating for months, although then spoke of “A few thousand days“Dario Amodei, CEO of Anthropic, believes that It could arrive beforein 2026. Elon Musk – who promised that he would have a totally autonomous Tesla in 2016 – agreed and pointed at 2026 as the year we will have an AGI. All are hypeptimists for a simple reason. Money. Like Altman, all who defend the rise and development of AI and the imminent arrival of the AGI do so to raise more and more money for their companies. We know that developing, training and running models of ia costs true fortunes, but the progress in this field seems to be slowing down. Doubts with climbing. There are many who believe that the current strategy of climbing the models – give more GPUS and get more data to train them – no longer compensates as much as before. The latest versions of the great foundational models exceed their predecessors, yes, but not in a striking way. It’s as if we had touched the roof. This is not the way. And for months the voices of experts have begun to be heard making it clear that other solutions must be sought. Nick Frosst, a student at Geoffrey Hinton and founder of Cohere, is clear that current technology is not enough to reach an AGI. What the generative AI does is “predict the next most likely word”, but that is very different from the way humans think. Lecun believes that we will take a long time to achieve an AGI. Personalities respected in the world of AI such as Yann Lecun, head of the division of AI in the finish line, are clear. Models as chatgpt They will not be able to match human intelligence. Also ensures that achieving a human level AI It will take a long time: Nothing “a few thousand days” as Altman said. And Sutskever coincides. This openai co -founder, is also skeptical with the potential of the generative AI, which according to him It is barely improving. His new startup, Safe Superintelligence, aims to create a superintelligence with “nuclear” securityalthough at the moment there have been no details about the strategy they are following to achieve it. It is not of course the one that followed when it helped create chatgpt. A recent survey to an academic association of experts in this field They thought the same: Three quarters of those who responded do not believe that current methods serve to end up developing an AGI. The generative AI is not a miracle. As they point out In The New York Timeswhat chatbots like chatgpt or other developments in this field is to do one thing very well, “but they are not necessarily better than humans in others.” According to him there is a certain temptation to think of these chatbots as something magical, but “these systems are not a miracle. They are very impressive gadgets.” Chatgpt does not challenge what he knows. Thomas Wolf, co -founder and Chief Science officer of Hugging Face, is clear that the generative AI is very good, but is far from taking us to an AGI. What we have, he explained a few weeks ago, is like “a country full of people who tell us yes to everything.” Chatgpt does not challenge us, but he does not challenge what he knows either. “We need a system that is able to ask yourself things that nobody had thought Or that nobody had dared to ask, “he said. Many challenges ahead. Among the differences between AI and human intelligence is that the latter is linked to the physical world: part of our intelligence is to know when to turn the toast, for example. There are advances in robotics and sensors that can help solve such problems, but this is a good example of how there are still many challenges to overcome to achieve that general artificial intelligence that is supposed to match (or overcome) to human intelligence in all disciplines. And the Ias that reason? The generative AI companies have found a small respite with the modes of reasoning of their chatbots. Here we find a singular advance that allows AI to respond more precisely and detailed thanks to “thinking” their answers and following a process of “reasoning” that tries to imitate the human. However, this does not seem to take us to an AGI, and again these modes of reasoning are rather a way to try that the answers are something better and do not see “hallucinations” by the chatbots. In spite of everything, Chatgpt and its rivals continue to make mistakes in this and the rest of the ways. Odds. On the horizon some possibilities appear. The current approach based on neural networks accompanies the approach of symbolic systems (based on rules) that can help provide elements such as deductive reasoning or abstract knowledge management to current models. It also works on training of models with physically precise virtual environments and in the so -called systems of meta-learningwhich allow to train new neural networks quickly and with a limited data set. But companies need products to sell us. These approaches to the development of new research roads are there, but the problem … Read more

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.