Science explains why your brain prefers paper to keyboard to learn

In an era dominated by mechanical keyboards, touch screens and cutting-edge tablets, the ancestral gesture of slide a pen over the paper seems like an anachronism reserved for people who haven’t updated. And this is a reality in areas of study such as, for example, universities, where it is rare to see someone studying by hand. But the reality is that, to be much more productive while studying, it may be best to put the laptop aside and start writing. The ‘magic’ of the pen. Here science, in its different disciplines, has concluded that taking notes by hand significantly improves retention and comprehension compared to actively using digital devices. And it’s not a question of romanticism, it’s a question of neural processing. A transcription effect. One of the pillars of this evidence is in a study published in 2014 which pointed out that students who use laptops to take notes become authentic transcribers of what the teacher says. And we have reached the point where many people can write faster than teachers speak and become “transcription machines” without processing the information. and stay with what is most important. I have even seen that even jokes end up being copied. On the contrary, who writes by hand You can’t write it all down. This requires you to engage in active cognitive processing: you must listen, digest, synthesize, and rephrase the idea in your own words. This “desirable difficulty” generates a much deeper encoding in memory that lasts even a week after the study. Better paper. Beyond the transcription effect, neuroscience has confirmed that the benefit is not only strategic, but also physical. Here, a study from 2021 published by the University of Tokyo demonstrated using electroencephalograms that handwriting activates brain areas critical for memory, language and fine movement. This is why, when using a pen, it has been seen that the hippocampus is significantly activated, which is essential for memory and spatial coding of information. But it does not stop there, since up to 25% more neuronal connectivity has been detected in complex tasks when the analog method is used. This explains why students in highly demanding careers tend to perform better cognitively when they opt for neural methods such as engineering. Less distractions. Beyond neurons, paper offers a competitive advantage in the study environment, since it is a closed system. This is very important because a tablet or laptop It is also a tool with open doors to notificationssocial networks and messaging apps that can be a temptation when it comes to interrupting the study quite easily. In addition, it facilitates word recognition and visual memorization, something vital for competitive exams or high-level exams such as a competition. And while well-designed digital notes may be superior for quickly remembering a single fact, paper wins by a landslide in conceptual understanding. Images | yanalya in Magnific In Xataka | The 2-7-30 method has become one of the fashionable systems to study faster. Science has doubts

Microsoft prefers its own 7 that a 10 of OpenAi. The 13,000 million invested in Openai have just gosses meaning

Microsoft has launched Mai-1his first model of the fully developed at home. This In the 13th position of Lmarenabelow those of Anthropic, Depseek, Google and, of course, OpenAi. It is not the best model and is not even close, but that could be exactly what Satya Nadella had in mind. Why is it important. Technological do not need absolute excellence to master markets. They need control, integration and margins. Microsoft has understood it since the time of MS-DOS: it is better to have a sufficiently good product than to depend on the excellence of others. Windows was never the best operating system. Internet Explorer was not the best browser. Excel is the best, but it took years to overcome Lotus 1-2-3. All, in any case, ended up dominating their markets because Microsoft controlled development, distribution and, above all, integration with the rest of their ecosystem. The money trail. The 13,000 million that Microsoft has invested in Openai They begin to seem less one bet and more a university enrollment. Microsoft has paid for: Early access to GPT technology while building its own infrastructure. Time to learn what works in the pressure of being pioneers. Instant credibility of offering “the best model” through COPILOT. A perfect excuse to build large gpus clusters that now uses for Mai-1. Suleyman has made it clear: they have trained Mai-1 with 15,000 gpus H100 (Grok uses 100,000, to compare) and have a new generation GB200 cluster operational. This infrastructure was not built to run OpenAi models. It was built for this. The current situation. Mai-1 does not compete in gross abilities. But it has advantages that Openai can never offer: Microsoft completely controls development. They can optimize it specifically for Windows, Office and Azure without asking anyone permission. They can adjust costs, latency and capabilities according to their exact needs. The voice is important. Mai-Voice-1 generates a minute of audio in less than a second with a single GPU. They do not need to be the best in text processing if they dominate The interface they believe of the future: The voice. Yes, but. A model in the 13th position remains a model in the 13th position. Business users who pay thousands of dollars for co -pilot surely expect the best, not “good enough.” Microsoft knows it and that’s why they are not replacing GPT-5 immediately. Mai-1 is gradually introduced in “specific use cases” while improving. This is its 1.0 version. GPT-5 is the fifth great iteration of OpenAI. They have room to grow. The decisive moment. The true test will come when Microsoft has to choose: renew the agreement with OpenAi or bet on their own models? With Mai-1, Microsoft has shown that it has a viable alternative. It does not need to be better than GPT-4. You just need to be good enough for the 250,000 million annual revenues of Microsoft not depending on Sam Altman’s whims. In a negotiation, the best position is to be able to get up from the table. Microsoft has just bought the chair. In Xataka | China’s self -sufficiency test in chips for AI is already here: it has not bought Nvidia or a single H20 GPU in the last quarter Outstanding image | Microsoft

Silicon Valley prefers to buy herself rather than invest in the future

Great American technology They swim in money in cash but to a large extent they are preferring to spend it repurchase their own actions rather than invest. How the mechanism works. A shares is simple: the company uses its cash to buy its own market shares and withdraws them. If a company has 1,000 million shares and repurchase 100 million, there are 900 million. The trick is in arithmetic. If the benefits are the same but there are fewer actions, the benefit per action Go up. A company that earned 10,000 million with 1,000 million shares showed 10 dollars of benefit per share. With 900 million shows $ 11.11. The metric goes up even if the company has not improved at all. Executives charge on actions on actions. Your compensation increases. The funds see the value of their portfolios without waiting for years to mature real investments. The company avoids the risk of investing in projects that can fail .. It is capitalism without capitalism: financial returns without real value creation. Why is it important. The further reason towards the tendency to an increasing repurchase of actions can be inferred: fear. The American political climate has become especially complex for large industrial investments. Bureaucracy, regulations. It is safer to return money to shareholders than to risk building something real. Meta tried to expand his campus in Menlo Park next to a plan to create affordable homes and He crashed into years of bureaucracy. The project has been in pause for some time. Amazon He left his plan to open a second headquarters in New York for the strong political protests that unleashed his announcement. Intel has been trying to open factories. And seeing how China ends them in a couple of years. The financial refuge. Act repurchases have become the bunker where technological ones hide their cash. In 2025 They will exceed the billion dollarshistorical record. Warren Buffett himself, nothing suspicious of anti -capitalist, has once said that Many repurchases are “stupid”. Explained that they benefit more than paid executives in Stock Options (Actions options) than long -term shareholders. The context. The repurchases They were illegal in the United States until 1982when under the presidency of Ronald Reagan they were authorized. Until then they considered a form of market manipulation. They are now the main way to give back shareholders. They exceed traditional dividends. A Study of the Roosevelt Institute of 2018 He showed that S&P 500 companies then spent 94% of their benefits on repurchases and dividends, leaving barely margin for productive investment. And now what. In the United States, some Democratic senators proposed a couple of years ago a 4% tax on repurchase programs to discourage them. What came from the hand of Biden It was 1% that has not had a great effect. For Europe, which depends technologically on the United States, this trend is worrying. If Silicon Valley prefers financial engineering to real, vulnerability against Chinese advance increases. In Xataka | The agreement with the US seemed to pave the way to Nvidia in China. Now is the Asian giant who begins to close the door Outstanding image | Roberto Júnior

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