AI is going to prey on those who all technological transformations prey on: lower salaries

Every time a new technology appears that promises to transform everythingthere is a group that ends paying a high price for it. With the arrival of AI, for example, young people and white-collar jobs are the most exposed to pay that bill in the form of a lower hiring rate and salary cuts due to automation of those positions. A published study by researchers from the London School of Economics and the Complutense University of Madrid, demonstrates with concrete data on Spain that the benefits of technological progress not only they do not reach everyone equally workers, but in many cases they are widening the gap between who else and they charge less. The Gini does not lie: inequality has a technological name. He Gini coefficient It measures income inequality on a scale where zero equals complete equality and 100 equals absolute inequality. Spain has an index of 30.8 according to the latest data of 2023 from Eurostat, compared to the European Union average, which stood at 29.4 in 2024. Between 2000 and 2016, wage inequality in Spain grew by 6.4 Gini points, the most intense period being between 2008 and 2016, when it rose 4.7 points in just eight years. The most striking data from the study is that without the effects of automation, wage inequality in Spain would have been 21.5% lower in 2019. To gauge the magnitude of this data, it is worth remembering that in 2000, Spain was 8.8 Gini points below the United States in terms of inequality. In 2019, that difference had narrowed to just 2.2 points. What technology gives from above, it cuts from below. The numbers are more eloquent when broken down by salary brackets. Without the technological revolution of recent decades, the 10% of workers with the highest incomes would have received a salary quota 3.9% lower than the current one. On the other hand, the 50% of workers with the lowest salaries would have increased their salary by 0.83%, and the poorest 10% of that group would have increased it by up to 2.2%. Automation and artificial intelligence do not act in the same way, although they both push in the same direction. While the automation of work tends to hit the salaries of the middle and lower section of the distribution, the AI raises wages at the top, thus improving the productivity and bargaining power of those employees who are already better positioned. The data from the last section of the study for the period 2015-2019 shows that, without exposure to AI, the Gini coefficient would have been 9.9% lower in 2019. That is, a smaller gap would have been generated between the highest and lowest salaries. The educational factor: less studies, more punishment. Another of the decisive findings of the study is related to academic training either employee professional. Workers with a lower level of education have suffered a negative salary impact almost three times greater than those with university studies. Their jobs tend to focus on routine tasks or administrative management, areas very susceptible to the impact of AI and automation. The wage gap between workers with high and low training has also skyrocketed due to greater technological implementation. In the absence of the effects of automation during the period 2000-2019, the salary difference between workers with different levels of education it would have been 43% lower. The study data shows that young people with little training are the most exposed, while older, highly skilled workers tend to integrate technology into their work rather than compete with it. Effect of automation by studies and age group Technology encourages wealth, but not for everyone. The authors of the study do not question technological progress itself, which has proven to be a driver of undisputed economic growth throughout history. What they do question is the idea that the benefits of this progress will end up being distributed naturally throughout society, a vision that according to the study itself does not capture the complexity of the phenomenon. Hence many of the great gurus of AI development bet on a basic income as a way to balance the imbalance which will cause the arrival of AI and the automation of more jobs. Faced with these data, the authors’ proposals to neutralize this effect go through two fronts. The first is to reinforce investment in education and continuous training, expanding access to non-routine skills such as critical thinking, creativity or social skills, which are less susceptible to automation. In this way, access to technological skills is equalized throughout the workforce. The second aims to review the tax treatment of capital and labor, given that in many countries taxation favors investment in machinery over hiring people, which can encourage automation processes even when productivity gains are limited. In Xataka | We thought that AI was going to take our position. The reality is that it is making us work more and rest less Image | Unsplash (Procreator Global UI UX Design Agency, Andrew Valdivia)

China studied the secret of falcons to hunt their prey. Now your drones only need 5 seconds against their targets

Throughout history, armies have always observed nature to learn to hunt, defend themselves and coordinate better, from way to attack in group to the selection of the weakest enemy. Today, that old military tradition makes sense again in a radically different context, one marked by algorithmsautonomous machines and a new technological race that is reminiscent of other great military leaps of the past. AI as the axis of combat. In this scenario it appears China, which is systematically promoting the use of artificial intelligence in the military sphere, especially in swarms of drones and autonomous systems capable of operating with little or almost no no human intervention. counted the wall street journal this week that they are in possession of patents, academic papers and procurement documents showing that the People’s Liberation Army sees future warfare as an environment dominated by algorithms, where swarms replace individual platforms and the mass of cheap systems can overwhelm defenses, attack targets and resist electronic warfare. The Ukrainian experience reinforces this vision by demonstrating that drones are already decisive and that autonomy becomes increasingly valuable when human control degrades. Learn about animals. To solve how to coordinate swarms in real time, Chinese researchers are modeling algorithms inspired in animal behavior. For example, in an experiment developed at Beihang University, defensive drones trained as “hawks” They learned to identify and destroy the most vulnerable targets, while attacking drones imitated “pigeons” to avoid threats. In a five-on-five simulation, the defenders They eliminated all the attackers in just 5.3 seconds. Beyond the success of the results, the interest was in the method: adapt hunting, escape and animal cooperation rules to realistic combat scenarios, where drones fly, maneuver and make decisions under pressure. Mass production. The Chinese bet combines these algorithmic advances with a clear industrial advantage: factories capable of producing hundreds of thousands or millions of cheap drones per year. This allows us to think of swarms as a main weapon and not as a complement, something much more difficult for, for example, the United States, which produce fewer drones and at a much higher cost. Systems such as mobile launchers of dozens of drones, mother models capable of releasing swarms in flight or even “robot wolves” Armed forces show a doctrine oriented towards coordinated quantity, not individual technological excellence. Centralized control. The appeal of autonomy also reflects a structural distrust in the capabilities of Chinese middle managers, a recognized problem for years by the political and military leadership itself. The swarms controlled by algorithms They fit better with a centralized command culture, where decisions are designed from the top and executed without improvisation. For Beijing, AI offers a way to compensate for the lack of real combat experience and reduce reliance on human commanders in chaotic situations. One soldier, 200 drones. Added to this line of development is the massive deployment capacity that the People’s Liberation Army has begun to publicly display, with tests in which a single operator is capable of supervising swarms of more than 200 drones released in a very short time. In images and data released According to Chinese state television, the drones, trained through simulations and real flights, are capable of flying in precise formations, dividing reconnaissance, distraction and attack tasks, and changing functions on the fly thanks to autonomous algorithms that allow them “negotiate” among themselves without constant human orders. The implicit message is clear: China is not only investigating how to make swarms more intelligent, but how to put them in the air on a large scale with very few personnel, a force multiplier that reinforces its commitment to coordinated quantity as a central feature of its future doctrine. In the background, Taiwan. Of course, the approach is not without risks: Systems can fail under real conditions, be neutralized by countermeasures or, at the opposite extreme, make lethal decisions that are difficult to explain or control. Even so, the WSJ reported that the documents and analysis suggest that one of the most likely scenarios for the use of those chinese swarms It would be a conflict around Taiwan, where they could be used to saturate air defenses, locate targets and facilitate subsequent attacks. The result is a dangerous race, in which China seems to advance rapidly despite the uncertainties, bringing closer a type of war that until recently seemed pure science fiction. Image | USFWS Mountain-Prairie日本防衛省・統合幕僚監部 In Xataka | China’s new futuristic drone is already flying alongside the J-20 fighters. And Beijing has shown it without saying a word In Xataka | China has just crossed the same red line as Russia: for the first time, a military drone has invaded Taiwan’s airspace

China wants to imprison the world with its restrictions on rare earths. His greatest prey has escaped him

It’s been months since China presses the whole world with one of his great aces up his sleeve: rare earths. Last week he used them again to unbalance the balance of technological trade worldwide and imposed new restrictions to its export, but its attack has a gigantic hole. One called Taiwan. rare earths to me. Taiwan’s economy minister has revealed that the country does not expect there to be a big impact from these new restrictions from China. The reason is simple: such minerals are different from the metals needed in the semiconductor sector that Taiwan’s manufacturers and production plants dominate. Taiwan does not need China. In fact, both the products necessary domestically for the production of these chips and the rare earths used in their manufacturing processes come from Europe, the United States and Japan. This makes the country safe from the pressure that China wants to exert with its dominance of the rare earth segment. China tries to force the hand. China expanded significantly export controls on rare earths last Thursday. It added five new items to its list of minerals with restricted exports, but also imposed new scrutiny mechanisms for chip users. The change is not minor: any product manufactured outside the country that contains just 0.1% of materials of Chinese origin will need a license to be exported. TSMC safe. Taiwan is the largest chip factory in the world and for years it has TSMC as a major player in the sector. The company leads this segment and has become the great ally of the Western world when it comes to producing chips for the AI ​​industry. The Chinese restrictions do not appear to pose future dangers for TSMC and other manufacturers in the country, according to those statements. But. Even so, the economy minister added that these additional controls could affect global supply chains for various products. To clarify better: the direct impact may not be noticeable, but yes it could be the indirect onebecause for example ASML’s EUV scanners use rare earth magnets that could end up suffering delays due to these restrictions. And be careful with the “ripe chips”. For example, chips for electric vehicles and drones. China is precisely determined to dominate the mature circuit market: given that can’t compete At the moment with the most advanced manufacturing technology, what it wants is to be the main protagonist of less advanced but equally important chips in industries such as the automotive industry. Restrictions as a lever to negotiate. China’s measures in this regard They are just part of that commercial and technological war that it maintains with the West and, especially, with the United States. The reaction of the US government was immediate, and Donald Trump announced 100% additional tariffs on Chinese imports. Both superpowers try to use their assets to put pressure on their rival while waiting for a imminent negotiation: Trump and Xi Jinping are expected to meet in South Korea in late October. Image |Wikimedia | leannk

Reddit has become the best human data source. AI is trying to prey them

Everyone wants Reddit data. And they want them why they are data humans. That is the Great value of a platform which has become the crown jewel of AI companies. They want to use that data To train their AI modelsand Reddit is tired of trying without asking for permission … and without paying. Reddit demands Anthropic. The social network, fed up with this type of behaviorhas registered a lawsuit against Anthropic, the creators of Claude, so consider a contract violation and for participating in “illicit and unfair commercial acts” when using the platform and data of the social media company without authorization. Or what is the same: for stealing the data for your AI. Blunt criticism. In The demand Reddit’s legal managers begin strong: “Anthropic is an artificial intelligence company of late flourishing that proclaims the white gentleman of the artificial intelligence industry. It’s anything but that.” According to Reddit, Anthropic shows a public face in which he presumes his respect for the law and doing things legitimately, and another private “that ignores any rule that interferes with his attempts to fill his pockets even more.” Human data treasure. Reddit has become In a valuable source of human information. If someone looks for answers, experiences and opinions in raw, this is the platform that has ended up becoming an absolute reference. In Reddit they know it. His legal manager, Ben Lee, explained in The Verge the following: “Reddit’s humanity has a unique value in a world flattened by AI. Now more than ever, people seek authentic conversations between humans. Reddit houses almost 20 years of rich and human debates about practically all imaginable topics. These conversations do not occur anywhere else and are fundamental to train linguistic models such as Claude.” Reddit began to protect himself very soon. Knowing that his “human data” were that great treasure with which to make box, Reddit began to make movements for take advantage of that data very soon. A few months after the launch of ChatgPT, it appeared that He made his APIas shortly before I had done Elon Musk with X/Twitter. He controversial movement It was clearly aimed at protecting the platform from those birds of prey in which IA companies had become. Then the demands would begin. If you want my data, pay. Reddit’s policy has been clear from the beginning, and there have been companies that have assumed the message. Google was one of the first to reach an agreement with Reddit and paid 60 million dollars to the platform To train your AI models with that data. OpenAi ended up doing the samealthough the amount that was paid to Reddit has never been revealed. Anthropic Discrepa. An Email from Anthropic to CNBC reveals that “we disagree with Reddit’s complaints and we will defend ourselves vigorously.” Interestingly, Anthropic herself has blocked the access of her Claude model to Windsurf, the newly acquired programming startup by Openai. One of its co -founders He affirmed that “it would be rare for us to sell (the API of) Claude a OpenAi.” It is a reasonable argument – and debatable – but it does not seem to be equally logic in the case of Reddit. But it already has other pending demands. That statement contrasts with two other demands that Anthropic has received in the last two years. Last August, three authors sued it in a Federal Court in California for having “built a billionaire business stealing hundreds of thousands of copyright“Before, in October 2023, Universal Music also sued her in Tennessee for a” systematic and generalized violation of the copyright of the lyrics of his songs. “The record giant He lost that battleHowever, which meant a disturbing victory for the technological ones. Internet looting continues. It is another case of that Absolute looting that AI companies are carrying out on the Internet. None of them savealthough of course there are flagrant cases such as perplexity or the recent scandal of Goal downloading books from books with copyright to train their models. If there are data that can be used to improve the quality of these models, companies try to get them, and it is just what happens with Reddit. The IAS do not want copyright. This whole process is part of a worrying phenomenon: there is still not punishment for all these companies despite being violating copyright. Openai already asked for a white letter to operate In that field, but other companies They joined that unusual proposal to eradicate copyright lawsat least for their AI models. The argument of “fair use” remains its great shield in front of these demands, but the reality is that the months go by, we insist, there is still no consequences for this flagrant robbery of the internet content. Image | Anthropic | Reddit edited with chatgpt In Xataka | After 19 years, Reddit is finally a profitable company: he has achieved it with a peculiar strategy

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