Neuroscience explains why the brain takes much longer to mature than we thought

The idea we have about adolescence right now it ends at 25 years old, this being the age at which supposedly the brain has just been ‘cooked’ forever to give way to a functional adult. But the reality is very different as the new studies point out, since we would continue to mature the brain until at least 32 years old. Where did the current idea come from? To understand why scientists pointed to 25 years as the age at which brain maturity ends, we must go back to studies of the past. Specifically to Resonance studies from the 90s and early 2000s like the classic Nitin Gogtay who mapped brain development and discovered that the cortex matures from “back to front.” This means that the sensory and motor areas are consolidated soon, but the prefrontal cortex which is in charge of executive functions, impulse control and planning is last in line. The problem is that many of those studies stopped following the subjects when you reach 20 or 21 years oldsince seeing that the curve continued to rise, it was assumed that the “peak” of maturity would arrive shortly after, around the mid-20s. But we had no idea what happened after this. Just assumptions. A new frontier. In order to solve this ‘blindness’ of neuroscience used the analysis of more than 4,000 brains using connectivity neuroimaging techniques at the University of Cambridge. What they saw was clearly five ‘epochs’ or milestones in brain wiring throughout life. Different turning points. And as if our life were a game, in the brain we have like five different screens that begin at a specific age that acts as a turning point. These ages are: 9, 32, 66 and 83 years. What interests us in this case is the period between 9 and 32 years, since the brain is characterized by a continuous increase in the efficiency and integration of neural networks. It is what the authors describe as an ‘extended adolescence’. It’s not that at 30 you think the same as a 15-year-old, but that the architecture of connections has not yet reached its final ‘adult’ form. Something that occurs at age 32 and remains stable until age 66, when brain activity begins to decline. To understand it better. Researchers wanted to use a simile to illustrate this new paradigm. To do this, they ask us to think of our brain as the union of several “functional neighborhoods” that specialize in specific tasks such as vision, language or logic. All of these are integrated with each other through different highways that are high-speed connections. Well then, between 20 and 32 years old The brain is balancing these two processes, so that the connections between different areas of the brain are well connected and organized. And it is precisely this typical pattern of the adult network, where the brain is capable of integrating complex information fluidly, which does not appear until after the age of thirty. Teenager at 30? This is where the important nuance comes in. Just because the brain continues to mature structurally does not mean that we should redefine adolescence in legal or clinical terms. All this because maturation is a gradient, not a switch of ‘now I’m a teenager and now I’m not’. To understand this, you have to know that the different elements of the brain and executive functions have a very different development curve. In this way, saying that the brain matures at 32 is a simplification that is as useful (or as erroneous) as saying that it matures at 25. What science really tells us is that there is no sudden development “blackout”; We remain biologically plastic and dynamic much longer than we thought. An opportunity for habits. This prolonged maturation is good news for all of us, since if the brain continues to actively ‘wire’ itself throughout our 20s, it means that structural plasticity is especially dynamic at this stage. In this way, science is quite clear: aerobic exercise, learning new languages ​​or facing cognitively demanding tasks during this “third decade” of life helps to improve the volume and organization of the brain’s white matter. On the contrary, factors such as chronic stress can affect the integrity of those connections. In short, a brain at 28 years old is not a finished product, but rather a work in progress that is finishing paving its best highways. The next time someone tells you that you should have your life figured out now because “you’re an adult,” you can tell them that, according to the University of Cambridge, your brain still has a couple of years of baking left. Images | Hal Gatewood Robina Weermeijer In Xataka | From 27 to 36 years old the brain reaches its peak concentration. And from there, bad news

Opera Neon promises to be the future of the browser. It is an ambitious vision yet to mature

I’ve been using it for a week Opera Neon and I don’t know if I’m testing the future of web browsing or participating in a psychological experiment on how much friction a human tolerates before returning to their usual browser. Probably both. Neon comes standard with everything that any veteran Opera user takes for granted: side messaging integrations, music apps in streamingthe multimedia panel… It is the reminder that, despite all the agentic experimentation, there is still an Opera underneath: practical, comfortable and designed for those who live glued to several platforms at the same time. The promise is seductive: a browser that not only answers questions, but act for you. Who browses, compares, reserves, creates. Who understands what you want to do and does it while you focus on more important things. Opera calls this “agentic AI“, and technically it is correct: Neon can take control of the browser, open tabs, fill out forms, compare products. It is AI with hands, it is Opera’s proposal for the same field as Perplexity with Comet or OpenAI with ChatGPT Atlas. The problem is that those hands are sometimes clumsy, unpredictable and dangerously overconfident. Opera Neon maintains all the classic features of Opera, such as the side panels to display messaging mini-applications or streaming music on an upper layer. In the image, Apple Music. Image: Xataka. Three brains in one body To understand Neon you have to accept that It is not an AI browser. It is a browser with three AIs living together. Chat, Do and Make. Each one with its function, its purpose, its personality. And here begins the first big problem: knowing which one to use at all times is a guessing exercise. Chat is the most familiar. A conversational chatbot that answers questions, summarizes pages, translates texts. Typical. It works well when you’re not making things up, which is about 70% of the time. I asked him to count the comments on several articles and he responded with 400 words explaining that there were none. when there were four. Do is where magic and terror live. You ask him to book a CrossFit class, find the cheapest flight to Lisbon, compare prices on headphones, unsubscribe from some newsletters. And sometimes it does. Open tabs, browse websites, fill out fields. Watching him work is hypnotic. It’s also slow, erratic, and occasionally catastrophic. In a test I asked her to add flowers to a store cart. Instead of somehow inferring my zip code or asking me about it, he directly introduced 28001: madridcentrismo to the song. While I, helpless, did click on the correct options that I was completely unaware of. There is no way to correct it while working. You can only watch, like someone who sees their autonomous car getting dangerously close to the cliff. A zip code just because, 350 km from my house. Image: Xataka. Neon spent an absurd amount of time wandering around the web, adding the bouquet to the cart, getting stuck on the shipping zip code, not feeling like anything productive was happening. Image: Xataka. Another example with Do: Image: Xataka. What he did was open Google Shopping, enter the term and not be able to click ‘Search’, apparently due to some subtle change in the website’s code. I gave it myself and Neon continued. It took a long time just to choose the order by price from lowest to highest. Finally he wrote the answer: Image: Xataka. Happy ending, although it is difficult to think of use scenarios where the use really compensates for the time and supervision it requires. If someone doesn’t know about Google Shopping, this is a good use case. If someone knows Google Shopping, they only have to do two clicks. Another example: reading some recipes Straight to the PalateI asked him to add all the ingredients necessary to make them to the Mercadona cart. Let’s go to trouble. Image: Xataka. Image: Xataka. This was one of those scenarios where there was no way I was going to complete the mission. Image: Xataka. Make is the most ambitious. Generate code, build web applications, create videos. I asked him for a memory game with Spanish vocabulary and he did it in minutes. Rough, but functional. It’s like having a mini-developer living in your browser, working in a virtual environment that disappears when you close the tab. A brilliant idea. A little polished perhaps, but brilliant. Image: Xataka. There are also the cardsa kind of templates prompts that function as mental shortcuts. You can combine them – “summarize + compare”, “decisions + follow-up” – or create your own so you don’t start from scratch every time you talk to the AI. It’s a simple but powerful idea: it makes user learning part of the system. Similar to what you propose Day with his Skills. It’s a good idea. What is not being said about Opera Neon Here comes the part that interests me the most, the one I read between the lines after a week living with this thing. Opera Neon is not really a product. It is a testing ground with product pricing. It is a public beta disguised as a premium service. And that wouldn’t be so much of a problem if it didn’t cost $20 a month. Let me be clear: I’ve seen enough technology launches to recognize when a company is testing concepts in the open field. And Neon is that. The bugs They are not occasional, they are structural, like the hallucinations. The Do agent disconnects if your computer goes to sleep. Chat responses are verbose. The Cards interface—those shortcuts prompts reusable—is full of examples with no real useful content. Cards examples interface. Image: Xataka. But there’s something more interesting going on here. Opera is making a counterintuitive bet at the worst possible time. We are in 2025: Google gives away Gemini in Chrome. Perplexity has Comet. The Browser Company (Arc’s company) has Day. Microsoft puts Copilot everywhere. And OpenAI recently launched ChatGPT Atlas. … Read more

the one they are pounding in the mature chip market

Semiconductor manufacturers have a strategic role for the Taiwan government. And they have it because the chips are fundamental for the support of their economy. TSMC leads the industry of the manufacture of integrated circuits with an approximate quota of 60%. And, in addition, other Taiwanese companies, such as UMC (United Microelectronics Corporation) or PSMC (Powerchip semiconductor manufacturing corporation), they have a very prominent role in this industry. However, the business of the three companies I just mentioned is different. TSMC specializes in the production of High integration semiconductorsso it competes mainly in the avant -garde chip market. This is the reason why Apple, Nvidia, AMD, Qualcomm or MediaTek, among other technology companies. TSMC is indisputably Taiwan’s jewelbut this does not mean that the business of the other Taiwanese chips manufacturers is not relevant. The strength of UMC, PSMC and other companies on the island reside in the competitiveness that they have sustained for years in the market of mature integrated circuits. These are the semiconductors that are mostly used in cars, appliances or electronic devices, among other products, and usually occur in nodes of 28 nm or less advanced. However, the future of these medium -term companies is uncertain. And it is because China has proposed to dominate The mature chip market. And he is getting it. Taiwan is already losing the market of mature integrated circuits The Taiwanese government does not want to lose its strength in this industry, but its future is not entirely promising. In fact, the IDC consultant He has predicted that your participation in the global sector of integrated circuits manufacturing will be reduced from 46% to 43% in 2027. However, this is not all. According to the TrendForce consultant China’s quota in the mature chip market has reached 34% in 2024, while Taiwan amounted to 43%. However, according to this same source in 2027, China’s participation will clearly exceed Taiwan. China’s quota in the mature chip market has reached 34% in 2024 The semi association (Semiconductor equipment and materials international), which represents the semiconductor industry and their supply chains, provides that Of the 97 new integrated circuit factories that have started or will start large -scale production between 2023 and 2025, 57 They will be housed in China. And most of the latter will be dedicated mainly to the manufacture of mature chips with the purpose of consolidating the domain of the country led by Xi Jinping in a market in which it has more and more weight. China’s interest in the mature chip industry is the response of this country to US sanctions and its allies that prevent their manufacturers from accessing the most advanced lithography equipment than produces the Dutch company ASML. At this situation, Taiwanese chips manufacturers only have one option, As Frank Huang explainsPresident of PSMC: “The factories of mature nodes like ours must be transformed. Otherwise Chinese price cuts will affect us even more.” This transformation in practice will gradually abandon the production of mature semiconductors to turn to the manufacture of high integration chips. Image | TSMC More information | Reuters In Xataka | TSMC acknowledges that it has been considered taking its factories out of Taiwan. It is impossible for a good reason

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