• In a delightful twist of fate, it seems that Wi-Fi in the US is about to take a scenic route to slower connections, courtesy of Trump’s latest law. Yes, folks, the FCC is gearing up to auction off that precious spectrum that's supposed to usher in next-gen Wi-Fi. Who needs fast internet anyway? Let’s all gather around our slow connections like it's the good old dial-up days! And don’t worry about the under-resourced communities; they’ll just have to get creative with their buffering strategies. After all, nothing says “progress” like making connectivity a luxury rather than a basic right. Can’t wait to see how this one unfolds!

    #WiFiWoes #SlowInternet #FCC #TrumpLaw #TechTr
    In a delightful twist of fate, it seems that Wi-Fi in the US is about to take a scenic route to slower connections, courtesy of Trump’s latest law. Yes, folks, the FCC is gearing up to auction off that precious spectrum that's supposed to usher in next-gen Wi-Fi. Who needs fast internet anyway? Let’s all gather around our slow connections like it's the good old dial-up days! And don’t worry about the under-resourced communities; they’ll just have to get creative with their buffering strategies. After all, nothing says “progress” like making connectivity a luxury rather than a basic right. Can’t wait to see how this one unfolds! #WiFiWoes #SlowInternet #FCC #TrumpLaw #TechTr
    Wi-Fi in the US Could Get Worse Under Trump's New Law
    The FCC wants to auction off spectrum that's behind next-gen Wi-Fi. Consumer advocacy groups say this will make connections busier and slower, and could affect under-resourced communities the most.
    1 Yorumlar 0 hisse senetleri 0 önizleme
  • Block’s CFO explains Gen Z’s surprising approach to money management

    One stock recently impacted by a whirlwind of volatility is Block—the fintech powerhouse behind Square, Cash App, Tidal Music, and more. The company’s COO and CFO, Amrita Ahuja, shares how her team is using new AI tools to find opportunity amid disruption and reach customers left behind by traditional financial systems. Ahuja also shares lessons from the video game industry and discusses Gen Z’s surprising approach to money management.  

    This is an abridged transcript of an interview from Rapid Response, hosted by Robert Safian, former editor-in-chief of Fast Company. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today’s top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode.

    As a leader, when you’re looking at all of this volatility—the tariffs, consumer sentiment’s been unclear, the stock market’s been all over the place. You guys had a huge one-day drop in early May, and it quickly bounced back. How do you make sense of all these external factors?

    Yeah, our focus is on what we can control. And ultimately, the thing that we are laser-focused on for our business is product velocity. How quickly can we start small with something, launch something for our customers, and then test and iterate and learn so that ultimately, that something that we’ve launched scales into an important product?

    I’ll give you an example. Cash App Borrow, which is a product where our customers can get access to a line of credit, often that bridges them from paycheck to paycheck. We know so many Americans are living paycheck to paycheck. That’s a product that we launched about three years ago and have now scaled to serve 9 million actives with billion in credit supply to our customers in a span of a couple short years.

    The more we can be out testing and launching product at a pace, the more we know we are ultimately delivering value to our customers, and the right things will happen from a stock perspective.

    Block is a financial services provider. You have Square, the point-of-sale system; the digital wallet Cash App, which you mentioned, which competes with Venmo and Robinhood; and a bunch of others. Then you’ve got the buy-now, pay-later leader Afterpay. You chair Square Financial Services, which is Block’s chartered bank. But you’ve said that in the fintech world, Block is only a little bit fin—that comparatively, it’s more tech. Can you explain what you mean by that?

    What we think is unique about us is our ability as a technology company to completely change innovation in the space, such that we can help solve systemic issues across credit, payments, commerce, and banking. What that means ultimately is we use technologies like AI and machine learning and data science, and we use these technologies in a unique way, in a way that’s different from a traditional bank. We are able to underwrite those who are often frankly forgotten by the traditional financial ecosystems.

    Our Square Loans product has almost triple the rate of women-owned businesses that we underwrite. Fifty-eight percent of our loans go to women-owned businesses versus 20% for the industry average. For that Cash App Borrow product I was talking about, 70% of those actives, the 9 million actives that we underwrote, fell below 580 as a FICO score. That’s considered a poor FICO score, and yet 97% of repayments are made on time. And this is because we have unique access to data and these technology and tools which can help us uniquely underwrite this often forgotten customer base.

    Yeah. I mean, credit—sometimes it’s been blamed for financial excesses. But access to credit is also, as you say, an advantage that’s not available to everyone. Do you have a philosophy between those poles—between risk and opportunity? Or is what you’re saying is that the tech you have allows you to avoid that risk?

    That’s right. Let’s start with how do the current systems work? It works using inferior data, frankly. It’s more limited data. It’s outdated. Sometimes it’s inaccurate. And it ignores things like someone’s cash flows, the stability of your income, your savings rate, how money moves through your accounts, or how you use alternative forms of credit—like buy now, pay later, which we have in our ecosystem through Afterpay.

    We have a lot of these signals for our 57 million monthly actives on the Cash App side and for the 4 million small businesses on the Square side, and those, frankly, billions of transaction data points that we have on any given day paired with new technologies. And we intend to continue to be on the forefront of AI, machine learning, and data science to be able to empower more people into the economy. The combination of the superior data and the technologies is what we believe ultimately helps expand access.

    You have a financial background, but not in the financial services industry. Before Block, you were a video game developer at Activision. Are financial businesses and video games similar? Are there things that are similar about them?

    There are. There actually are some things that are similar, I will say. There are many things that are unique to each industry. Each industry is incredibly complex. You find that when big technology companies try to do gaming. They’ve taken over the world in many different ways, but they can’t always crack the nut on putting out a great game. Similarly, some of the largest technology companies have dabbled in fintech but haven’t been able to go as deep, so they’re both very nuanced and complex industries.

    I would say another similarity is that design really matters. Industrial design, the design of products, the interface of products, is absolutely mission-critical to a great game, and it’s absolutely mission-critical to the simplicity and accessibility of our products, be it on Square or Cash App.

    And then maybe the third thing that I would say is that when I was in gaming, at least the business models were rapidly changing from an intermediary distribution mechanism, like releasing a game once and then selling it through a retailer, to an always-on, direct-to-consumer connection. And similarly with banking, people don’t want to bank from 9 to 5, six days a week. They want 24/7 access to their money and the ability to, again, grow their financial livelihood, move their money around seamlessly. So, some similarities are there in that shift to an intermediary model or a slower model to an always-on, direct-to-consumer connection.

    Part of your target audience or your target customer base at Block are Gen Z folks. Did you learn things at Activision about Gen Z that has been useful? Are there things that businesses misunderstand about younger generations still?

    What we’ve learned is that Gen Z, millennial customers, aren’t going to do things the way their parents did. Some of our stats show that 63% of Gen Z customers have moved away from traditional credit cards, and over 80% are skeptical of them. Which means they’re not using a credit card to manage expenses; they’re using a debit card, but then layering on on a transaction-by-transaction basis. Or again, using tools like buy now, pay later, or Cash App Borrow, the means in which they’re managing their consistent cash flows. So that’s an example of how things are changing, and you’ve got to get up to speed with how the next generation of customers expects to manage their money.
    #blocks #cfo #explains #gen #surprising
    Block’s CFO explains Gen Z’s surprising approach to money management
    One stock recently impacted by a whirlwind of volatility is Block—the fintech powerhouse behind Square, Cash App, Tidal Music, and more. The company’s COO and CFO, Amrita Ahuja, shares how her team is using new AI tools to find opportunity amid disruption and reach customers left behind by traditional financial systems. Ahuja also shares lessons from the video game industry and discusses Gen Z’s surprising approach to money management.   This is an abridged transcript of an interview from Rapid Response, hosted by Robert Safian, former editor-in-chief of Fast Company. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today’s top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode. As a leader, when you’re looking at all of this volatility—the tariffs, consumer sentiment’s been unclear, the stock market’s been all over the place. You guys had a huge one-day drop in early May, and it quickly bounced back. How do you make sense of all these external factors? Yeah, our focus is on what we can control. And ultimately, the thing that we are laser-focused on for our business is product velocity. How quickly can we start small with something, launch something for our customers, and then test and iterate and learn so that ultimately, that something that we’ve launched scales into an important product? I’ll give you an example. Cash App Borrow, which is a product where our customers can get access to a line of credit, often that bridges them from paycheck to paycheck. We know so many Americans are living paycheck to paycheck. That’s a product that we launched about three years ago and have now scaled to serve 9 million actives with billion in credit supply to our customers in a span of a couple short years. The more we can be out testing and launching product at a pace, the more we know we are ultimately delivering value to our customers, and the right things will happen from a stock perspective. Block is a financial services provider. You have Square, the point-of-sale system; the digital wallet Cash App, which you mentioned, which competes with Venmo and Robinhood; and a bunch of others. Then you’ve got the buy-now, pay-later leader Afterpay. You chair Square Financial Services, which is Block’s chartered bank. But you’ve said that in the fintech world, Block is only a little bit fin—that comparatively, it’s more tech. Can you explain what you mean by that? What we think is unique about us is our ability as a technology company to completely change innovation in the space, such that we can help solve systemic issues across credit, payments, commerce, and banking. What that means ultimately is we use technologies like AI and machine learning and data science, and we use these technologies in a unique way, in a way that’s different from a traditional bank. We are able to underwrite those who are often frankly forgotten by the traditional financial ecosystems. Our Square Loans product has almost triple the rate of women-owned businesses that we underwrite. Fifty-eight percent of our loans go to women-owned businesses versus 20% for the industry average. For that Cash App Borrow product I was talking about, 70% of those actives, the 9 million actives that we underwrote, fell below 580 as a FICO score. That’s considered a poor FICO score, and yet 97% of repayments are made on time. And this is because we have unique access to data and these technology and tools which can help us uniquely underwrite this often forgotten customer base. Yeah. I mean, credit—sometimes it’s been blamed for financial excesses. But access to credit is also, as you say, an advantage that’s not available to everyone. Do you have a philosophy between those poles—between risk and opportunity? Or is what you’re saying is that the tech you have allows you to avoid that risk? That’s right. Let’s start with how do the current systems work? It works using inferior data, frankly. It’s more limited data. It’s outdated. Sometimes it’s inaccurate. And it ignores things like someone’s cash flows, the stability of your income, your savings rate, how money moves through your accounts, or how you use alternative forms of credit—like buy now, pay later, which we have in our ecosystem through Afterpay. We have a lot of these signals for our 57 million monthly actives on the Cash App side and for the 4 million small businesses on the Square side, and those, frankly, billions of transaction data points that we have on any given day paired with new technologies. And we intend to continue to be on the forefront of AI, machine learning, and data science to be able to empower more people into the economy. The combination of the superior data and the technologies is what we believe ultimately helps expand access. You have a financial background, but not in the financial services industry. Before Block, you were a video game developer at Activision. Are financial businesses and video games similar? Are there things that are similar about them? There are. There actually are some things that are similar, I will say. There are many things that are unique to each industry. Each industry is incredibly complex. You find that when big technology companies try to do gaming. They’ve taken over the world in many different ways, but they can’t always crack the nut on putting out a great game. Similarly, some of the largest technology companies have dabbled in fintech but haven’t been able to go as deep, so they’re both very nuanced and complex industries. I would say another similarity is that design really matters. Industrial design, the design of products, the interface of products, is absolutely mission-critical to a great game, and it’s absolutely mission-critical to the simplicity and accessibility of our products, be it on Square or Cash App. And then maybe the third thing that I would say is that when I was in gaming, at least the business models were rapidly changing from an intermediary distribution mechanism, like releasing a game once and then selling it through a retailer, to an always-on, direct-to-consumer connection. And similarly with banking, people don’t want to bank from 9 to 5, six days a week. They want 24/7 access to their money and the ability to, again, grow their financial livelihood, move their money around seamlessly. So, some similarities are there in that shift to an intermediary model or a slower model to an always-on, direct-to-consumer connection. Part of your target audience or your target customer base at Block are Gen Z folks. Did you learn things at Activision about Gen Z that has been useful? Are there things that businesses misunderstand about younger generations still? What we’ve learned is that Gen Z, millennial customers, aren’t going to do things the way their parents did. Some of our stats show that 63% of Gen Z customers have moved away from traditional credit cards, and over 80% are skeptical of them. Which means they’re not using a credit card to manage expenses; they’re using a debit card, but then layering on on a transaction-by-transaction basis. Or again, using tools like buy now, pay later, or Cash App Borrow, the means in which they’re managing their consistent cash flows. So that’s an example of how things are changing, and you’ve got to get up to speed with how the next generation of customers expects to manage their money. #blocks #cfo #explains #gen #surprising
    WWW.FASTCOMPANY.COM
    Block’s CFO explains Gen Z’s surprising approach to money management
    One stock recently impacted by a whirlwind of volatility is Block—the fintech powerhouse behind Square, Cash App, Tidal Music, and more. The company’s COO and CFO, Amrita Ahuja, shares how her team is using new AI tools to find opportunity amid disruption and reach customers left behind by traditional financial systems. Ahuja also shares lessons from the video game industry and discusses Gen Z’s surprising approach to money management.   This is an abridged transcript of an interview from Rapid Response, hosted by Robert Safian, former editor-in-chief of Fast Company. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today’s top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode. As a leader, when you’re looking at all of this volatility—the tariffs, consumer sentiment’s been unclear, the stock market’s been all over the place. You guys had a huge one-day drop in early May, and it quickly bounced back. How do you make sense of all these external factors? Yeah, our focus is on what we can control. And ultimately, the thing that we are laser-focused on for our business is product velocity. How quickly can we start small with something, launch something for our customers, and then test and iterate and learn so that ultimately, that something that we’ve launched scales into an important product? I’ll give you an example. Cash App Borrow, which is a product where our customers can get access to a line of credit, often $100, $200, that bridges them from paycheck to paycheck. We know so many Americans are living paycheck to paycheck. That’s a product that we launched about three years ago and have now scaled to serve 9 million actives with $15 billion in credit supply to our customers in a span of a couple short years. The more we can be out testing and launching product at a pace, the more we know we are ultimately delivering value to our customers, and the right things will happen from a stock perspective. Block is a financial services provider. You have Square, the point-of-sale system; the digital wallet Cash App, which you mentioned, which competes with Venmo and Robinhood; and a bunch of others. Then you’ve got the buy-now, pay-later leader Afterpay. You chair Square Financial Services, which is Block’s chartered bank. But you’ve said that in the fintech world, Block is only a little bit fin—that comparatively, it’s more tech. Can you explain what you mean by that? What we think is unique about us is our ability as a technology company to completely change innovation in the space, such that we can help solve systemic issues across credit, payments, commerce, and banking. What that means ultimately is we use technologies like AI and machine learning and data science, and we use these technologies in a unique way, in a way that’s different from a traditional bank. We are able to underwrite those who are often frankly forgotten by the traditional financial ecosystems. Our Square Loans product has almost triple the rate of women-owned businesses that we underwrite. Fifty-eight percent of our loans go to women-owned businesses versus 20% for the industry average. For that Cash App Borrow product I was talking about, 70% of those actives, the 9 million actives that we underwrote, fell below 580 as a FICO score. That’s considered a poor FICO score, and yet 97% of repayments are made on time. And this is because we have unique access to data and these technology and tools which can help us uniquely underwrite this often forgotten customer base. Yeah. I mean, credit—sometimes it’s been blamed for financial excesses. But access to credit is also, as you say, an advantage that’s not available to everyone. Do you have a philosophy between those poles—between risk and opportunity? Or is what you’re saying is that the tech you have allows you to avoid that risk? That’s right. Let’s start with how do the current systems work? It works using inferior data, frankly. It’s more limited data. It’s outdated. Sometimes it’s inaccurate. And it ignores things like someone’s cash flows, the stability of your income, your savings rate, how money moves through your accounts, or how you use alternative forms of credit—like buy now, pay later, which we have in our ecosystem through Afterpay. We have a lot of these signals for our 57 million monthly actives on the Cash App side and for the 4 million small businesses on the Square side, and those, frankly, billions of transaction data points that we have on any given day paired with new technologies. And we intend to continue to be on the forefront of AI, machine learning, and data science to be able to empower more people into the economy. The combination of the superior data and the technologies is what we believe ultimately helps expand access. You have a financial background, but not in the financial services industry. Before Block, you were a video game developer at Activision. Are financial businesses and video games similar? Are there things that are similar about them? There are. There actually are some things that are similar, I will say. There are many things that are unique to each industry. Each industry is incredibly complex. You find that when big technology companies try to do gaming. They’ve taken over the world in many different ways, but they can’t always crack the nut on putting out a great game. Similarly, some of the largest technology companies have dabbled in fintech but haven’t been able to go as deep, so they’re both very nuanced and complex industries. I would say another similarity is that design really matters. Industrial design, the design of products, the interface of products, is absolutely mission-critical to a great game, and it’s absolutely mission-critical to the simplicity and accessibility of our products, be it on Square or Cash App. And then maybe the third thing that I would say is that when I was in gaming, at least the business models were rapidly changing from an intermediary distribution mechanism, like releasing a game once and then selling it through a retailer, to an always-on, direct-to-consumer connection. And similarly with banking, people don’t want to bank from 9 to 5, six days a week. They want 24/7 access to their money and the ability to, again, grow their financial livelihood, move their money around seamlessly. So, some similarities are there in that shift to an intermediary model or a slower model to an always-on, direct-to-consumer connection. Part of your target audience or your target customer base at Block are Gen Z folks. Did you learn things at Activision about Gen Z that has been useful? Are there things that businesses misunderstand about younger generations still? What we’ve learned is that Gen Z, millennial customers, aren’t going to do things the way their parents did. Some of our stats show that 63% of Gen Z customers have moved away from traditional credit cards, and over 80% are skeptical of them. Which means they’re not using a credit card to manage expenses; they’re using a debit card, but then layering on on a transaction-by-transaction basis. Or again, using tools like buy now, pay later, or Cash App Borrow, the means in which they’re managing their consistent cash flows. So that’s an example of how things are changing, and you’ve got to get up to speed with how the next generation of customers expects to manage their money.
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  • Selection Sort Time Complexity: Best, Worst, and Average Cases

    Development and Testing 

    Rate this post

    Sorting is a basic task in programming. It arranges data in order. There are many sorting algorithms. Selection Sort is one of the simplest sorting methods. It is easy to understand and code. But it is not the fastest. In this guide, we will explain the Selection Sort Time Complexity. We will cover best, worst, and average cases.
    What Is Selection Sort?
    Selection Sort works by selecting the smallest element from the list. It places it in the correct position. It repeats this process for all elements. One by one, it moves the smallest values to the front.
    Let’s see an example:
    Input:Step 1: Smallest is 2 → swap with 5 →Step 2: Smallest in remaining is 3 → already correctStep 3: Smallest in remaining is 5 → swap with 8 →Now the list is sorted.How Selection Sort Works
    Selection Sort uses two loops. The outer loop moves one index at a time. The inner loop finds the smallest element. After each pass, the smallest value is moved to the front. The position is fixed. Selection Sort does not care if the list is sorted or not. It always does the same steps.
    Selection Sort Algorithm
    Here is the basic algorithm:

    Start from the first element
    Find the smallest in the rest of the list
    Swap it with the current element
    Repeat for each element

    This repeats until all elements are sorted.
    Selection Sort CodejavaCopyEditpublic class SelectionSort {
    public static void sort{
    int n = arr.length;
    for{
    int min = i;
    for{
    if{
    min = j;
    }
    }
    int temp = arr;
    arr= arr;
    arr= temp;
    }
    }
    }

    This code uses two loops. The outer loop runs n-1 times. The inner loop finds the minimum.
    Selection Sort Time Complexity
    Now let’s understand the main topic. Let’s analyze Selection Sort Time Complexity in three cases.
    1. Best Case
    Even if the array is already sorted, Selection Sort checks all elements. It keeps comparing and swapping.

    Time Complexity: OReason: Inner loop runs fully, regardless of the order
    Example Input:Even here, every comparison still happens. Only fewer swaps occur, but comparisons remain the same.
    2. Worst Case
    This happens when the array is in reverse order. But Selection Sort does not optimize for this.

    Time Complexity: OReason: Still needs full comparisons
    Example Input:Even in reverse, the steps are the same. It compares and finds the smallest element every time.
    3. Average Case
    This is when elements are randomly placed. It is the most common scenario in real-world problems.

    Time Complexity: OReason: Still compares each element in the inner loop
    Example Input:Selection Sort does not change behavior based on input order. So the complexity remains the same.
    Why Is It Always O?
    Selection Sort compares all pairs of elements. The number of comparisons does not change.
    Total comparisons = n ×/ 2
    That’s why the time complexity is always O.It does not reduce steps in any case. It does not take advantage of sorted elements.
    Space Complexity
    Selection Sort does not need extra space. It sorts in place.

    Space Complexity: OOnly a few variables are used
    No extra arrays or memory needed

    This is one good point of the Selection Sort.
    Comparison with Other Algorithms
    Let’s compare Selection Sort with other basic sorts:
    AlgorithmBest CaseAverage CaseWorst CaseSpaceSelection SortOOOOBubble SortOOOOInsertion SortOOOOMerge SortOOOOQuick SortOOOOAs you see, Selection Sort is slower than Merge Sort and Quick Sort.
    Advantages of Selection Sort

    Very simple and easy to understand
    Works well with small datasets
    Needs very little memory
    Good for learning purposes

    Disadvantages of Selection Sort

    Slow on large datasets
    Always takes the same time, even if sorted
    Not efficient for real-world use

    When to Use Selection Sort
    Use Selection Sort when:

    You are working with a very small dataset
    You want to teach or learn sorting logic
    You want stable, low-memory sorting

    Avoid it for:

    Large datasets
    Performance-sensitive programs

    Conclusion
    Selection Sort Time Complexity is simple to understand. But it is not efficient for big problems. It always takes Otime, no matter the case. That is the same for best, worst, and average inputs. Still, it is useful in some cases. It’s great for learning sorting basics. It uses very little memory. If you’re working with small arrays, Selection Sort is fine. For large data, use better algorithms. Understanding its time complexity helps you choose the right algorithm. Always pick the tool that fits your task.
    Tech World TimesTech World Times, a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com
    #selection #sort #time #complexity #best
    Selection Sort Time Complexity: Best, Worst, and Average Cases
    Development and Testing  Rate this post Sorting is a basic task in programming. It arranges data in order. There are many sorting algorithms. Selection Sort is one of the simplest sorting methods. It is easy to understand and code. But it is not the fastest. In this guide, we will explain the Selection Sort Time Complexity. We will cover best, worst, and average cases. What Is Selection Sort? Selection Sort works by selecting the smallest element from the list. It places it in the correct position. It repeats this process for all elements. One by one, it moves the smallest values to the front. Let’s see an example: Input:Step 1: Smallest is 2 → swap with 5 →Step 2: Smallest in remaining is 3 → already correctStep 3: Smallest in remaining is 5 → swap with 8 →Now the list is sorted.How Selection Sort Works Selection Sort uses two loops. The outer loop moves one index at a time. The inner loop finds the smallest element. After each pass, the smallest value is moved to the front. The position is fixed. Selection Sort does not care if the list is sorted or not. It always does the same steps. Selection Sort Algorithm Here is the basic algorithm: Start from the first element Find the smallest in the rest of the list Swap it with the current element Repeat for each element This repeats until all elements are sorted. Selection Sort CodejavaCopyEditpublic class SelectionSort { public static void sort{ int n = arr.length; for{ int min = i; for{ if{ min = j; } } int temp = arr; arr= arr; arr= temp; } } } This code uses two loops. The outer loop runs n-1 times. The inner loop finds the minimum. Selection Sort Time Complexity Now let’s understand the main topic. Let’s analyze Selection Sort Time Complexity in three cases. 1. Best Case Even if the array is already sorted, Selection Sort checks all elements. It keeps comparing and swapping. Time Complexity: OReason: Inner loop runs fully, regardless of the order Example Input:Even here, every comparison still happens. Only fewer swaps occur, but comparisons remain the same. 2. Worst Case This happens when the array is in reverse order. But Selection Sort does not optimize for this. Time Complexity: OReason: Still needs full comparisons Example Input:Even in reverse, the steps are the same. It compares and finds the smallest element every time. 3. Average Case This is when elements are randomly placed. It is the most common scenario in real-world problems. Time Complexity: OReason: Still compares each element in the inner loop Example Input:Selection Sort does not change behavior based on input order. So the complexity remains the same. Why Is It Always O? Selection Sort compares all pairs of elements. The number of comparisons does not change. Total comparisons = n ×/ 2 That’s why the time complexity is always O.It does not reduce steps in any case. It does not take advantage of sorted elements. Space Complexity Selection Sort does not need extra space. It sorts in place. Space Complexity: OOnly a few variables are used No extra arrays or memory needed This is one good point of the Selection Sort. Comparison with Other Algorithms Let’s compare Selection Sort with other basic sorts: AlgorithmBest CaseAverage CaseWorst CaseSpaceSelection SortOOOOBubble SortOOOOInsertion SortOOOOMerge SortOOOOQuick SortOOOOAs you see, Selection Sort is slower than Merge Sort and Quick Sort. Advantages of Selection Sort Very simple and easy to understand Works well with small datasets Needs very little memory Good for learning purposes Disadvantages of Selection Sort Slow on large datasets Always takes the same time, even if sorted Not efficient for real-world use When to Use Selection Sort Use Selection Sort when: You are working with a very small dataset You want to teach or learn sorting logic You want stable, low-memory sorting Avoid it for: Large datasets Performance-sensitive programs Conclusion Selection Sort Time Complexity is simple to understand. But it is not efficient for big problems. It always takes Otime, no matter the case. That is the same for best, worst, and average inputs. Still, it is useful in some cases. It’s great for learning sorting basics. It uses very little memory. If you’re working with small arrays, Selection Sort is fine. For large data, use better algorithms. Understanding its time complexity helps you choose the right algorithm. Always pick the tool that fits your task. Tech World TimesTech World Times, a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com #selection #sort #time #complexity #best
    TECHWORLDTIMES.COM
    Selection Sort Time Complexity: Best, Worst, and Average Cases
    Development and Testing  Rate this post Sorting is a basic task in programming. It arranges data in order. There are many sorting algorithms. Selection Sort is one of the simplest sorting methods. It is easy to understand and code. But it is not the fastest. In this guide, we will explain the Selection Sort Time Complexity. We will cover best, worst, and average cases. What Is Selection Sort? Selection Sort works by selecting the smallest element from the list. It places it in the correct position. It repeats this process for all elements. One by one, it moves the smallest values to the front. Let’s see an example: Input: [5, 3, 8, 2]Step 1: Smallest is 2 → swap with 5 → [2, 3, 8, 5]Step 2: Smallest in remaining is 3 → already correctStep 3: Smallest in remaining is 5 → swap with 8 → [2, 3, 5, 8] Now the list is sorted.How Selection Sort Works Selection Sort uses two loops. The outer loop moves one index at a time. The inner loop finds the smallest element. After each pass, the smallest value is moved to the front. The position is fixed. Selection Sort does not care if the list is sorted or not. It always does the same steps. Selection Sort Algorithm Here is the basic algorithm: Start from the first element Find the smallest in the rest of the list Swap it with the current element Repeat for each element This repeats until all elements are sorted. Selection Sort Code (Java Example) javaCopyEditpublic class SelectionSort { public static void sort(int[] arr) { int n = arr.length; for (int i = 0; i < n - 1; i++) { int min = i; for (int j = i + 1; j < n; j++) { if (arr[j] < arr[min]) { min = j; } } int temp = arr[min]; arr[min] = arr[i]; arr[i] = temp; } } } This code uses two loops. The outer loop runs n-1 times. The inner loop finds the minimum. Selection Sort Time Complexity Now let’s understand the main topic. Let’s analyze Selection Sort Time Complexity in three cases. 1. Best Case Even if the array is already sorted, Selection Sort checks all elements. It keeps comparing and swapping. Time Complexity: O(n²) Reason: Inner loop runs fully, regardless of the order Example Input: [1, 2, 3, 4, 5] Even here, every comparison still happens. Only fewer swaps occur, but comparisons remain the same. 2. Worst Case This happens when the array is in reverse order. But Selection Sort does not optimize for this. Time Complexity: O(n²) Reason: Still needs full comparisons Example Input: [5, 4, 3, 2, 1] Even in reverse, the steps are the same. It compares and finds the smallest element every time. 3. Average Case This is when elements are randomly placed. It is the most common scenario in real-world problems. Time Complexity: O(n²) Reason: Still compares each element in the inner loop Example Input: [3, 1, 4, 2, 5] Selection Sort does not change behavior based on input order. So the complexity remains the same. Why Is It Always O(n²)? Selection Sort compares all pairs of elements. The number of comparisons does not change. Total comparisons = n × (n – 1) / 2 That’s why the time complexity is always O(n²).It does not reduce steps in any case. It does not take advantage of sorted elements. Space Complexity Selection Sort does not need extra space. It sorts in place. Space Complexity: O(1) Only a few variables are used No extra arrays or memory needed This is one good point of the Selection Sort. Comparison with Other Algorithms Let’s compare Selection Sort with other basic sorts: AlgorithmBest CaseAverage CaseWorst CaseSpaceSelection SortO(n²)O(n²)O(n²)O(1)Bubble SortO(n)O(n²)O(n²)O(1)Insertion SortO(n)O(n²)O(n²)O(1)Merge SortO(n log n)O(n log n)O(n log n)O(n)Quick SortO(n log n)O(n log n)O(n²)O(log n) As you see, Selection Sort is slower than Merge Sort and Quick Sort. Advantages of Selection Sort Very simple and easy to understand Works well with small datasets Needs very little memory Good for learning purposes Disadvantages of Selection Sort Slow on large datasets Always takes the same time, even if sorted Not efficient for real-world use When to Use Selection Sort Use Selection Sort when: You are working with a very small dataset You want to teach or learn sorting logic You want stable, low-memory sorting Avoid it for: Large datasets Performance-sensitive programs Conclusion Selection Sort Time Complexity is simple to understand. But it is not efficient for big problems. It always takes O(n²) time, no matter the case. That is the same for best, worst, and average inputs. Still, it is useful in some cases. It’s great for learning sorting basics. It uses very little memory. If you’re working with small arrays, Selection Sort is fine. For large data, use better algorithms. Understanding its time complexity helps you choose the right algorithm. Always pick the tool that fits your task. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com
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  • Earth’s mantle may have hidden plumes venting heat from its core

    Al Hajar Mountains in OmanL_B_Photography/Shutters​tock
    A section of Earth’s mantle beneath Oman appears to be unusually warm, in what researchers say may be the first known “ghost plume” – a column of hot rock emanating from the lower mantle without apparent volcanic activity on the surface.
    Mantle plumes are mysterious upwellings of molten rock believed to transmit heat from the core-mantle boundary to the Earth’s surface, far from the edges of tectonic plates. There are a dozen or so examples thought to occur underneath the middle of continental plates – for instance, beneath Yellowstone and the East African rift. “But these are all cases where you do have surface volcanism,” says Simone Pilia at the King Fahd University of Petroleum and Minerals in Saudi Arabia. Oman has no such volcanic clues.
    Pilia first came to suspect there was a plume beneath Oman “serendipitously” after he began analysing new seismic data from the region. He observed the velocity of waves generated by distant earthquakes slowed down in a cylindrical area beneath eastern Oman, indicating the rocks there were less rigid than the surrounding material due to high temperatures.
    Other independent seismic measurements showed key boundaries where minerals deep in the Earth change phases in a way consistent with a hot plume. These measurements suggest the plume extends more than 660 kilometres below the surface.
    The presence of a plume could also explain why the region has continued to rise in elevation long after tectonic compression – a geological process where the Earth’s crust is squeezed together – stopped. It also fits with models of what could have caused a shift in the movement of the Indian tectonic plate.
    “The more we gathered evidence, the more we were convinced that it is a plume,” says Pilia, who named the geologic feature the “Dani plume” after his son.

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    “It’s plausible” that a plume indeed exists there, says Saskia Goes at Imperial College London, adding the study is “thorough”. However, she points out narrow plumes are notoriously difficult to detect.
    If it does exist, however, the presence of a “ghost plume” contained within the mantle by the relatively thick rocky layer beneath Oman would suggest there are others, says Pilia. “We’re convinced that the Dani plume is not alone.”
    If there are many other hidden plumes, it could mean more heat from the core is flowing directly through the mantle via plumes, rather than through slower convection, says Goes. “It has implications, potentially, for the evolution of the Earth if we get a different estimate of how much heat comes out of the mantle.”
    Journal referenceEarth and Planetary Science Letters DOI: 10.1016/j.epsl.2025.119467
    Topics:
    #earths #mantle #have #hidden #plumes
    Earth’s mantle may have hidden plumes venting heat from its core
    Al Hajar Mountains in OmanL_B_Photography/Shutters​tock A section of Earth’s mantle beneath Oman appears to be unusually warm, in what researchers say may be the first known “ghost plume” – a column of hot rock emanating from the lower mantle without apparent volcanic activity on the surface. Mantle plumes are mysterious upwellings of molten rock believed to transmit heat from the core-mantle boundary to the Earth’s surface, far from the edges of tectonic plates. There are a dozen or so examples thought to occur underneath the middle of continental plates – for instance, beneath Yellowstone and the East African rift. “But these are all cases where you do have surface volcanism,” says Simone Pilia at the King Fahd University of Petroleum and Minerals in Saudi Arabia. Oman has no such volcanic clues. Pilia first came to suspect there was a plume beneath Oman “serendipitously” after he began analysing new seismic data from the region. He observed the velocity of waves generated by distant earthquakes slowed down in a cylindrical area beneath eastern Oman, indicating the rocks there were less rigid than the surrounding material due to high temperatures. Other independent seismic measurements showed key boundaries where minerals deep in the Earth change phases in a way consistent with a hot plume. These measurements suggest the plume extends more than 660 kilometres below the surface. The presence of a plume could also explain why the region has continued to rise in elevation long after tectonic compression – a geological process where the Earth’s crust is squeezed together – stopped. It also fits with models of what could have caused a shift in the movement of the Indian tectonic plate. “The more we gathered evidence, the more we were convinced that it is a plume,” says Pilia, who named the geologic feature the “Dani plume” after his son. Unmissable news about our planet delivered straight to your inbox every month. Sign up to newsletter “It’s plausible” that a plume indeed exists there, says Saskia Goes at Imperial College London, adding the study is “thorough”. However, she points out narrow plumes are notoriously difficult to detect. If it does exist, however, the presence of a “ghost plume” contained within the mantle by the relatively thick rocky layer beneath Oman would suggest there are others, says Pilia. “We’re convinced that the Dani plume is not alone.” If there are many other hidden plumes, it could mean more heat from the core is flowing directly through the mantle via plumes, rather than through slower convection, says Goes. “It has implications, potentially, for the evolution of the Earth if we get a different estimate of how much heat comes out of the mantle.” Journal referenceEarth and Planetary Science Letters DOI: 10.1016/j.epsl.2025.119467 Topics: #earths #mantle #have #hidden #plumes
    WWW.NEWSCIENTIST.COM
    Earth’s mantle may have hidden plumes venting heat from its core
    Al Hajar Mountains in OmanL_B_Photography/Shutters​tock A section of Earth’s mantle beneath Oman appears to be unusually warm, in what researchers say may be the first known “ghost plume” – a column of hot rock emanating from the lower mantle without apparent volcanic activity on the surface. Mantle plumes are mysterious upwellings of molten rock believed to transmit heat from the core-mantle boundary to the Earth’s surface, far from the edges of tectonic plates. There are a dozen or so examples thought to occur underneath the middle of continental plates – for instance, beneath Yellowstone and the East African rift. “But these are all cases where you do have surface volcanism,” says Simone Pilia at the King Fahd University of Petroleum and Minerals in Saudi Arabia. Oman has no such volcanic clues. Pilia first came to suspect there was a plume beneath Oman “serendipitously” after he began analysing new seismic data from the region. He observed the velocity of waves generated by distant earthquakes slowed down in a cylindrical area beneath eastern Oman, indicating the rocks there were less rigid than the surrounding material due to high temperatures. Other independent seismic measurements showed key boundaries where minerals deep in the Earth change phases in a way consistent with a hot plume. These measurements suggest the plume extends more than 660 kilometres below the surface. The presence of a plume could also explain why the region has continued to rise in elevation long after tectonic compression – a geological process where the Earth’s crust is squeezed together – stopped. It also fits with models of what could have caused a shift in the movement of the Indian tectonic plate. “The more we gathered evidence, the more we were convinced that it is a plume,” says Pilia, who named the geologic feature the “Dani plume” after his son. Unmissable news about our planet delivered straight to your inbox every month. Sign up to newsletter “It’s plausible” that a plume indeed exists there, says Saskia Goes at Imperial College London, adding the study is “thorough”. However, she points out narrow plumes are notoriously difficult to detect. If it does exist, however, the presence of a “ghost plume” contained within the mantle by the relatively thick rocky layer beneath Oman would suggest there are others, says Pilia. “We’re convinced that the Dani plume is not alone.” If there are many other hidden plumes, it could mean more heat from the core is flowing directly through the mantle via plumes, rather than through slower convection, says Goes. “It has implications, potentially, for the evolution of the Earth if we get a different estimate of how much heat comes out of the mantle.” Journal referenceEarth and Planetary Science Letters DOI: 10.1016/j.epsl.2025.119467 Topics:
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  • OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

    The Inefficiency of Static Chain-of-Thought Reasoning in LRMs
    Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems and slower, analytical thinking for complex ones. While LRMs mimic slow, logical reasoning, they generate significantly longer outputs, thereby increasing computational cost. Current methods for reducing reasoning steps lack flexibility, limiting models to a single fixed reasoning style. There is a growing need for adaptive reasoning that adjusts effort according to task difficulty. 
    Limitations of Existing Training-Based and Training-Free Approaches
    Recent research on improving reasoning efficiency in LRMs can be categorized into two main areas: training-based and training-free methods. Training strategies often use reinforcement learning or fine-tuning to limit token usage or adjust reasoning depth, but they tend to follow fixed patterns without flexibility. Training-free approaches utilize prompt engineering or pattern detection to shorten outputs during inference; however, they also lack adaptability. More recent work focuses on variable-length reasoning, where models adjust reasoning depth based on task complexity. Others study “overthinking,” where models over-reason unnecessarily. However, few methods enable dynamic switching between quick and thorough reasoning—something this paper addresses directly. 
    Introducing OThink-R1: Dynamic Fast/Slow Reasoning Framework
    Researchers from Zhejiang University and OPPO have developed OThink-R1, a new approach that enables LRMs to switch between fast and slow thinking smartly, much like humans do. By analyzing reasoning patterns, they identified which steps are essential and which are redundant. With help from another model acting as a judge, they trained LRMs to adapt their reasoning style based on task complexity. Their method reduces unnecessary reasoning by over 23% without losing accuracy. Using a loss function and fine-tuned datasets, OThink-R1 outperforms previous models in both efficiency and performance on various math and question-answering tasks. 
    System Architecture: Reasoning Pruning and Dual-Reference Optimization
    The OThink-R1 framework helps LRMs dynamically switch between fast and slow thinking. First, it identifies when LRMs include unnecessary reasoning, like overexplaining or double-checking, versus when detailed steps are truly essential. Using this, it builds a curated training dataset by pruning redundant reasoning and retaining valuable logic. Then, during fine-tuning, a special loss function balances both reasoning styles. This dual-reference loss compares the model’s outputs with both fast and slow thinking variants, encouraging flexibility. As a result, OThink-R1 can adaptively choose the most efficient reasoning path for each problem while preserving accuracy and logical depth. 

    Empirical Evaluation and Comparative Performance
    The OThink-R1 model was tested on simpler QA and math tasks to evaluate its ability to switch between fast and slow reasoning. Using datasets like OpenBookQA, CommonsenseQA, ASDIV, and GSM8K, the model demonstrated strong performance, generating fewer tokens while maintaining or improving accuracy. Compared to baselines such as NoThinking and DualFormer, OThink-R1 demonstrated a better balance between efficiency and effectiveness. Ablation studies confirmed the importance of pruning, KL constraints, and LLM-Judge in achieving optimal results. A case study illustrated that unnecessary reasoning can lead to overthinking and reduced accuracy, highlighting OThink-R1’s strength in adaptive reasoning. 

    Conclusion: Towards Scalable and Efficient Hybrid Reasoning Systems
    In conclusion, OThink-R1 is a large reasoning model that adaptively switches between fast and slow thinking modes to improve both efficiency and performance. It addresses the issue of unnecessarily complex reasoning in large models by analyzing and classifying reasoning steps as either essential or redundant. By pruning the redundant ones while maintaining logical accuracy, OThink-R1 reduces unnecessary computation. It also introduces a dual-reference KL-divergence loss to strengthen hybrid reasoning. Tested on math and QA tasks, it cuts down reasoning redundancy by 23% without sacrificing accuracy, showing promise for building more adaptive, scalable, and efficient AI reasoning systems in the future. 

    Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter.
    Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDevSana Hassanhttps://www.marktechpost.com/author/sana-hassan/MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Google AI Unveils a Hybrid AI-Physics Model for Accurate Regional Climate Risk Forecasts with Better Uncertainty AssessmentSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Run Multiple AI Coding Agents in Parallel with Container-Use from Dagger
    #othinkr1 #dualmode #reasoning #framework #cut
    OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs
    The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems and slower, analytical thinking for complex ones. While LRMs mimic slow, logical reasoning, they generate significantly longer outputs, thereby increasing computational cost. Current methods for reducing reasoning steps lack flexibility, limiting models to a single fixed reasoning style. There is a growing need for adaptive reasoning that adjusts effort according to task difficulty.  Limitations of Existing Training-Based and Training-Free Approaches Recent research on improving reasoning efficiency in LRMs can be categorized into two main areas: training-based and training-free methods. Training strategies often use reinforcement learning or fine-tuning to limit token usage or adjust reasoning depth, but they tend to follow fixed patterns without flexibility. Training-free approaches utilize prompt engineering or pattern detection to shorten outputs during inference; however, they also lack adaptability. More recent work focuses on variable-length reasoning, where models adjust reasoning depth based on task complexity. Others study “overthinking,” where models over-reason unnecessarily. However, few methods enable dynamic switching between quick and thorough reasoning—something this paper addresses directly.  Introducing OThink-R1: Dynamic Fast/Slow Reasoning Framework Researchers from Zhejiang University and OPPO have developed OThink-R1, a new approach that enables LRMs to switch between fast and slow thinking smartly, much like humans do. By analyzing reasoning patterns, they identified which steps are essential and which are redundant. With help from another model acting as a judge, they trained LRMs to adapt their reasoning style based on task complexity. Their method reduces unnecessary reasoning by over 23% without losing accuracy. Using a loss function and fine-tuned datasets, OThink-R1 outperforms previous models in both efficiency and performance on various math and question-answering tasks.  System Architecture: Reasoning Pruning and Dual-Reference Optimization The OThink-R1 framework helps LRMs dynamically switch between fast and slow thinking. First, it identifies when LRMs include unnecessary reasoning, like overexplaining or double-checking, versus when detailed steps are truly essential. Using this, it builds a curated training dataset by pruning redundant reasoning and retaining valuable logic. Then, during fine-tuning, a special loss function balances both reasoning styles. This dual-reference loss compares the model’s outputs with both fast and slow thinking variants, encouraging flexibility. As a result, OThink-R1 can adaptively choose the most efficient reasoning path for each problem while preserving accuracy and logical depth.  Empirical Evaluation and Comparative Performance The OThink-R1 model was tested on simpler QA and math tasks to evaluate its ability to switch between fast and slow reasoning. Using datasets like OpenBookQA, CommonsenseQA, ASDIV, and GSM8K, the model demonstrated strong performance, generating fewer tokens while maintaining or improving accuracy. Compared to baselines such as NoThinking and DualFormer, OThink-R1 demonstrated a better balance between efficiency and effectiveness. Ablation studies confirmed the importance of pruning, KL constraints, and LLM-Judge in achieving optimal results. A case study illustrated that unnecessary reasoning can lead to overthinking and reduced accuracy, highlighting OThink-R1’s strength in adaptive reasoning.  Conclusion: Towards Scalable and Efficient Hybrid Reasoning Systems In conclusion, OThink-R1 is a large reasoning model that adaptively switches between fast and slow thinking modes to improve both efficiency and performance. It addresses the issue of unnecessarily complex reasoning in large models by analyzing and classifying reasoning steps as either essential or redundant. By pruning the redundant ones while maintaining logical accuracy, OThink-R1 reduces unnecessary computation. It also introduces a dual-reference KL-divergence loss to strengthen hybrid reasoning. Tested on math and QA tasks, it cuts down reasoning redundancy by 23% without sacrificing accuracy, showing promise for building more adaptive, scalable, and efficient AI reasoning systems in the future.  Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDevSana Hassanhttps://www.marktechpost.com/author/sana-hassan/MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Google AI Unveils a Hybrid AI-Physics Model for Accurate Regional Climate Risk Forecasts with Better Uncertainty AssessmentSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Run Multiple AI Coding Agents in Parallel with Container-Use from Dagger #othinkr1 #dualmode #reasoning #framework #cut
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    OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs
    The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast, intuitive responses for easy problems and slower, analytical thinking for complex ones. While LRMs mimic slow, logical reasoning, they generate significantly longer outputs, thereby increasing computational cost. Current methods for reducing reasoning steps lack flexibility, limiting models to a single fixed reasoning style. There is a growing need for adaptive reasoning that adjusts effort according to task difficulty.  Limitations of Existing Training-Based and Training-Free Approaches Recent research on improving reasoning efficiency in LRMs can be categorized into two main areas: training-based and training-free methods. Training strategies often use reinforcement learning or fine-tuning to limit token usage or adjust reasoning depth, but they tend to follow fixed patterns without flexibility. Training-free approaches utilize prompt engineering or pattern detection to shorten outputs during inference; however, they also lack adaptability. More recent work focuses on variable-length reasoning, where models adjust reasoning depth based on task complexity. Others study “overthinking,” where models over-reason unnecessarily. However, few methods enable dynamic switching between quick and thorough reasoning—something this paper addresses directly.  Introducing OThink-R1: Dynamic Fast/Slow Reasoning Framework Researchers from Zhejiang University and OPPO have developed OThink-R1, a new approach that enables LRMs to switch between fast and slow thinking smartly, much like humans do. By analyzing reasoning patterns, they identified which steps are essential and which are redundant. With help from another model acting as a judge, they trained LRMs to adapt their reasoning style based on task complexity. Their method reduces unnecessary reasoning by over 23% without losing accuracy. Using a loss function and fine-tuned datasets, OThink-R1 outperforms previous models in both efficiency and performance on various math and question-answering tasks.  System Architecture: Reasoning Pruning and Dual-Reference Optimization The OThink-R1 framework helps LRMs dynamically switch between fast and slow thinking. First, it identifies when LRMs include unnecessary reasoning, like overexplaining or double-checking, versus when detailed steps are truly essential. Using this, it builds a curated training dataset by pruning redundant reasoning and retaining valuable logic. Then, during fine-tuning, a special loss function balances both reasoning styles. This dual-reference loss compares the model’s outputs with both fast and slow thinking variants, encouraging flexibility. As a result, OThink-R1 can adaptively choose the most efficient reasoning path for each problem while preserving accuracy and logical depth.  Empirical Evaluation and Comparative Performance The OThink-R1 model was tested on simpler QA and math tasks to evaluate its ability to switch between fast and slow reasoning. Using datasets like OpenBookQA, CommonsenseQA, ASDIV, and GSM8K, the model demonstrated strong performance, generating fewer tokens while maintaining or improving accuracy. Compared to baselines such as NoThinking and DualFormer, OThink-R1 demonstrated a better balance between efficiency and effectiveness. Ablation studies confirmed the importance of pruning, KL constraints, and LLM-Judge in achieving optimal results. A case study illustrated that unnecessary reasoning can lead to overthinking and reduced accuracy, highlighting OThink-R1’s strength in adaptive reasoning.  Conclusion: Towards Scalable and Efficient Hybrid Reasoning Systems In conclusion, OThink-R1 is a large reasoning model that adaptively switches between fast and slow thinking modes to improve both efficiency and performance. It addresses the issue of unnecessarily complex reasoning in large models by analyzing and classifying reasoning steps as either essential or redundant. By pruning the redundant ones while maintaining logical accuracy, OThink-R1 reduces unnecessary computation. It also introduces a dual-reference KL-divergence loss to strengthen hybrid reasoning. Tested on math and QA tasks, it cuts down reasoning redundancy by 23% without sacrificing accuracy, showing promise for building more adaptive, scalable, and efficient AI reasoning systems in the future.  Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDevSana Hassanhttps://www.marktechpost.com/author/sana-hassan/MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Google AI Unveils a Hybrid AI-Physics Model for Accurate Regional Climate Risk Forecasts with Better Uncertainty AssessmentSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Run Multiple AI Coding Agents in Parallel with Container-Use from Dagger
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  • Chic Minimalist Tiny Home Delivers Style With Effortless Mobility For Modern Nomads

    The Botanical Cabin by Plume is a refreshing testament to the enduring appeal of minimal living. Designed and crafted in France, this tiny house is more than a fleeting trend or a clever response to spatial constraints. It is a study in how thoughtful design can elevate even the most compact of footprints into something both beautiful and deeply functional. Built on a trailer, the Botanical Cabin measures just under twenty feet in length, yet every inch is meticulously utilized, creating a home that feels open, airy, and full of light.
    As you move inside, you are immediately struck by the cabin’s abundant natural illumination. Large windows frame the greenery outside, inviting the outdoors in and making the interior feel much larger than its modest measurements suggest. The layout flows effortlessly from one space to the next, with clever woodwork offering moments of privacy without sacrificing openness. There is a gentle rhythm to the way spaces are defined, making the entire experience feel both cozy and uncluttered.
    Designer: Plume

    The kitchen, though compact, is a masterclass in efficiency. A built-in breakfast bar serves as both a dining area and a generous workspace for meal prep. The use of wood throughout the kitchen and living areas unifies the aesthetic but also brings a warmth that is often missing from modern, small-scale structures. Each detail, from the mini fridge to the compact stove, is chosen for practicality without compromising the visual serenity of the space.
    Every element in the Botanical Cabin seems to have a purpose that goes beyond mere utility. The ethereal, soft decor imparts a whimsical quality, turning this portable dwelling into a sanctuary for romantic getaways or peaceful solo retreats. It is easy to imagine settling into its intimate nooks with a book or gazing out at the landscape in quiet contemplation. The cabin’s atmosphere is one of gentle luxury, where comfort is derived from simplicity rather than abundance.

    Plume’s approach to design, evident in the Botanical Cabin, is rooted in a deep respect for both craftsmanship and environment. The use of natural materials and a restrained palette is pleasing to the eye and also fosters a sense of harmony with the surroundings. This is a home that invites reflection, not just on the space itself but on the kind of life one wishes to lead within its walls. It encourages a slower, more intentional way of living, where each object and every moment is appreciated.
    For those of us who find inspiration in architecture and interiors, the Botanical Cabin is a reminder of how powerful minimal design can be. It proves that a small home does not have to feel temporary or incomplete. Instead, it can be a place of real belonging, where design and daily life are intertwined with grace. The Botanical Cabin stands as a quiet ode to the beauty of less, and in its simplicity, it offers endless possibilities for living well.

    The post Chic Minimalist Tiny Home Delivers Style With Effortless Mobility For Modern Nomads first appeared on Yanko Design.
    #chic #minimalist #tiny #home #delivers
    Chic Minimalist Tiny Home Delivers Style With Effortless Mobility For Modern Nomads
    The Botanical Cabin by Plume is a refreshing testament to the enduring appeal of minimal living. Designed and crafted in France, this tiny house is more than a fleeting trend or a clever response to spatial constraints. It is a study in how thoughtful design can elevate even the most compact of footprints into something both beautiful and deeply functional. Built on a trailer, the Botanical Cabin measures just under twenty feet in length, yet every inch is meticulously utilized, creating a home that feels open, airy, and full of light. As you move inside, you are immediately struck by the cabin’s abundant natural illumination. Large windows frame the greenery outside, inviting the outdoors in and making the interior feel much larger than its modest measurements suggest. The layout flows effortlessly from one space to the next, with clever woodwork offering moments of privacy without sacrificing openness. There is a gentle rhythm to the way spaces are defined, making the entire experience feel both cozy and uncluttered. Designer: Plume The kitchen, though compact, is a masterclass in efficiency. A built-in breakfast bar serves as both a dining area and a generous workspace for meal prep. The use of wood throughout the kitchen and living areas unifies the aesthetic but also brings a warmth that is often missing from modern, small-scale structures. Each detail, from the mini fridge to the compact stove, is chosen for practicality without compromising the visual serenity of the space. Every element in the Botanical Cabin seems to have a purpose that goes beyond mere utility. The ethereal, soft decor imparts a whimsical quality, turning this portable dwelling into a sanctuary for romantic getaways or peaceful solo retreats. It is easy to imagine settling into its intimate nooks with a book or gazing out at the landscape in quiet contemplation. The cabin’s atmosphere is one of gentle luxury, where comfort is derived from simplicity rather than abundance. Plume’s approach to design, evident in the Botanical Cabin, is rooted in a deep respect for both craftsmanship and environment. The use of natural materials and a restrained palette is pleasing to the eye and also fosters a sense of harmony with the surroundings. This is a home that invites reflection, not just on the space itself but on the kind of life one wishes to lead within its walls. It encourages a slower, more intentional way of living, where each object and every moment is appreciated. For those of us who find inspiration in architecture and interiors, the Botanical Cabin is a reminder of how powerful minimal design can be. It proves that a small home does not have to feel temporary or incomplete. Instead, it can be a place of real belonging, where design and daily life are intertwined with grace. The Botanical Cabin stands as a quiet ode to the beauty of less, and in its simplicity, it offers endless possibilities for living well. The post Chic Minimalist Tiny Home Delivers Style With Effortless Mobility For Modern Nomads first appeared on Yanko Design. #chic #minimalist #tiny #home #delivers
    WWW.YANKODESIGN.COM
    Chic Minimalist Tiny Home Delivers Style With Effortless Mobility For Modern Nomads
    The Botanical Cabin by Plume is a refreshing testament to the enduring appeal of minimal living. Designed and crafted in France, this tiny house is more than a fleeting trend or a clever response to spatial constraints. It is a study in how thoughtful design can elevate even the most compact of footprints into something both beautiful and deeply functional. Built on a trailer, the Botanical Cabin measures just under twenty feet in length, yet every inch is meticulously utilized, creating a home that feels open, airy, and full of light. As you move inside, you are immediately struck by the cabin’s abundant natural illumination. Large windows frame the greenery outside, inviting the outdoors in and making the interior feel much larger than its modest measurements suggest. The layout flows effortlessly from one space to the next, with clever woodwork offering moments of privacy without sacrificing openness. There is a gentle rhythm to the way spaces are defined, making the entire experience feel both cozy and uncluttered. Designer: Plume The kitchen, though compact, is a masterclass in efficiency. A built-in breakfast bar serves as both a dining area and a generous workspace for meal prep. The use of wood throughout the kitchen and living areas unifies the aesthetic but also brings a warmth that is often missing from modern, small-scale structures. Each detail, from the mini fridge to the compact stove, is chosen for practicality without compromising the visual serenity of the space. Every element in the Botanical Cabin seems to have a purpose that goes beyond mere utility. The ethereal, soft decor imparts a whimsical quality, turning this portable dwelling into a sanctuary for romantic getaways or peaceful solo retreats. It is easy to imagine settling into its intimate nooks with a book or gazing out at the landscape in quiet contemplation. The cabin’s atmosphere is one of gentle luxury, where comfort is derived from simplicity rather than abundance. Plume’s approach to design, evident in the Botanical Cabin, is rooted in a deep respect for both craftsmanship and environment. The use of natural materials and a restrained palette is pleasing to the eye and also fosters a sense of harmony with the surroundings. This is a home that invites reflection, not just on the space itself but on the kind of life one wishes to lead within its walls. It encourages a slower, more intentional way of living, where each object and every moment is appreciated. For those of us who find inspiration in architecture and interiors, the Botanical Cabin is a reminder of how powerful minimal design can be. It proves that a small home does not have to feel temporary or incomplete. Instead, it can be a place of real belonging, where design and daily life are intertwined with grace. The Botanical Cabin stands as a quiet ode to the beauty of less, and in its simplicity, it offers endless possibilities for living well. The post Chic Minimalist Tiny Home Delivers Style With Effortless Mobility For Modern Nomads first appeared on Yanko Design.
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  • After the flood: Malecón de Villahermosa in Villahermosa, Mexico, by Taller Mauricio Rocha, TaAU and Alejandro Castro

    With reclaimed land previously allocated to cars, the Grijalva River boardwalk offers generous public spaces and reconnects the Mexican city of Villahermosa to its river
    In Villahermosa, nature reigns supreme. Surrounded by rivers, lagoons, wild vegetation and the scorching heat of a humid tropical climate, the city’s identity is shaped by intense and unpredictable natural forces. The capital of the Mexican state of Tabasco was founded in 1564 on the banks of the Grijalva River, a vital trade route that has significantly shaped the city’s development. For locals, the river has long been both blessing and threat; major floods have been recorded since the 17th century. A devastating flood in 2007 submerged what officials estimated to be 80 per cent of the city, damaging or destroying more than 120,000 homes.
    In the aftermath of the inundation, high concrete retaining walls were built along both banks of the Grijalva River to prevent further flooding. While this was an understandable measure at first glance, it consequently caused residents to lose both their visual and physical connection with the river. As a result, people moved, particularly from the western bank where the historical centre is located, to new areas further away from the Grijalva River. The riverfront was left to deteriorate into a troubled zone. On the eastern bank, the neighbourhood of Gaviotas was already considered unsafe before the flood, yet it maintained more of its residential character.
    In 2022, 15 years after the dramatic flood, then‑president Andrés Manuel López Obrador, more commonly known as AMLO, announced the construction of a new 6km‑long riverfront promenade in Villahermosa, the capital of his home state. The idea was to enable the population to once again take pride in and live with their river, looking to Paris and Rome as examples. The monumental task, with its large urban scale and the population’s psychological trauma, was entrusted to the Ministry of Agricultural, Territorial and Urban Developmentas part of their Programa de Mejoramiento Urbano. This programme aimed to use architecture as an ‘instrument of social transformation’. High expectations were placed on these projects; architects were asked to create ‘places of national pride’ while improving everyday living conditions.
    The architectural trio of Alejandro Castro Jiménez Labora, Mauricio Rocha Iturbide, and Óscar Rodríguez Castañeda, along with their teams, were commissioned to design a linear park along both banks of the Grijalva. Each architect contributed their strength: Castro brought his expertise in poetic urban furniture; Rocha his sensitive and atmospheric architectural approach; and Rodríguez his thoughtful urban and traffic planning skills. The SEDATU team provided technical and participatory expertise, enabling contextual sensitivity by sharing essential information about the site’s topography, soil conditions and water flows.
    From the city’s existing observatory, the Torre del Caballero landmark, visitors enjoy an excellent view over the redesigned riverbanks. The historical centre and the Gaviotas neighbourhood now form a single ensemble, while the intervention carefully responds to the different conditions found along the length of the river. The project’s main objective is to reclaim some of the land previously allocated to cars and create a promenade for pedestrians and slower vehicles, punctuated with public spaces and facilities. On both sides of the river, cars are now limited to just one or two grey asphalt lanes. Running alongside are generous cycle paths and pedestrian walkways made of earth‑coloured concrete. Speed bumps in the same material and colour connect the pavements on either side of the road while helping to limit traffic speed to 30km/h, further enhancing pedestrian safety.
    Several design elements are found along almost the entire promenade. A ribbon of light‑grey benches delineates the edge of the elevated riverfront; stone walls, steps and ramps are used to negotiate the slight changes in level; planters and lush vegetation soften the transition to the walkways, creating a welcome buffer from street traffic. The most visually striking components are the tall, red‑pigmented concrete light poles on the elevated path, adorned with elegant L‑shaped steel light fixtures, which establish a strong and cohesive visual rhythm.
    Only upon closer inspection you notice the 2007 retaining walls peeking through the dense tropical vegetation. Removing these unattractive concrete barriers was never an option; they stand as a symbol of successful flood protection for the local population. The architectural team ingeniously built the elevated promenade atop the existing wall – an effective concealment from the street side while simultaneously inviting residents to reconnect with the Grijalva. 
    At the foot of the observatory, directly below the retaining wall, the earth‑toned concrete platforms of the Carlos A Madrazo Becerra Park stretch towards the river. Visitors can access the park via a ramp from the promenade on the western bank or by ferry from the opposite side. In the park, concrete furnishings invite visitors to linger among tropical vegetation set against tall natural stone walls. Importantly, it is a space that is durable and requires minimal maintenance – a survival formula for public parks in the Mexican context. Small traces on the concrete benches reveal that the park weathered its baptism of fire last year: the design accommodates the river’s natural dynamics, adapting to fluctuating water levels without compromising public safety. Beyond providing much‑needed shade, the extensive planting of native, low‑maintenance plants on both riverbanks has improved soil stability.
    Above the park, on a broad extension of the elevated pathway, stand three long, elegant buildings with large cantilevered roofs supported by hefty beams resting on distinctive double columns. The tall glass walls that enclose the interiors are set back, creating a visual flow between interior and exterior spaces. While the beams evoke timber construction, they – like the columns – are made of the same pigmented concrete used for the promenade paving. Despite their refined composition, these structures have remained largely unused since their completion over a year ago, neither serving their intended function as restaurants nor hosting alternative uses. Even the beautifully designed park sees only limited public engagement. The ambitious goal of SEDATU with the PMU projects to ‘counteract violence and strengthen the social fabric’ appears, for now, to have fallen short in this area. According to national statistics, Villahermosa ranks first in perceived insecurity among Mexican cities. This sense of insecurity is tangible on the promenade by the city centre, where buildings that look abandoned contribute to an atmosphere of neglect.
    The situation is markedly different on the opposite riverbank, in the Gaviotas neighbourhood. Construction of the 3.5km promenade on this side began in 2021 with three open pavilions housing several small kiosks, which quickly evolved into popular taco stands. The Plaza Solidaridad, revitalised by the architectural trio, draws people from the surrounding vibrant neighbourhood. Further south, the final section that was built is a large sports area and children’s playground, which were embraced by the local community even before their official inauguration in February 2024. Especially after sunset, when the air cools, the well‑lit Gaviotas riverfront comes to life. During daylight hours, however, air‑conditioned shopping centres remain the preferred gathering places for the residents of Villahermosa.
    Rocha describes the city’s new promenade as a ‘jazz composition’, a striking metaphor that speaks of rhythmic complexity and the freedom to improvise. With just a few designed elements and carefully selected colours, the architects have harmoniously layered the river’s urban spaces. The project is earning international recognition but, in Mexico, it faced sharp criticism and was overshadowed by accusations of nepotism. Castro is a friend of AMLO’s son, and the fact that the intervention took place in the home state of the then‑president, coupled with its substantial budget by local standards, drew considerable attention. According to residents, this undermined public acceptance. When asked about the negative press, Rocha speaks of the need to develop a ‘crisis muscle’; he says architects working on public projects in Mexico must ‘let go of perfectionism’ as much lies beyond their control. 
    During AMLO’s six‑year term, which ended in 2024, SEDATU implemented 1,300 PMU projects in 193 highly marginalised municipalities across the country. While many of these interventions undoubtedly improved people’s quality of life, the Villahermosa riverside project also reveals architecture’s limitations, exposing some of the programme’s weaknesses: architectural interventions often act as sticking plasters on an extensively damaged urban fabric. They are handed over from a national ministry with comprehensive expertise and funding to local governments lacking the means to sustain them. Although SEDATU conducted participatory consultations during the project’s implementation, this engagement was absent once the project was completed. Public acceptance and appropriation can take time; what this project does is send an invitation out.

    2025-06-05
    Reuben J Brown

    Share

    AR June 2025RoadsBuy Now
    #after #flood #malecón #villahermosa #mexico
    After the flood: Malecón de Villahermosa in Villahermosa, Mexico, by Taller Mauricio Rocha, TaAU and Alejandro Castro
    With reclaimed land previously allocated to cars, the Grijalva River boardwalk offers generous public spaces and reconnects the Mexican city of Villahermosa to its river In Villahermosa, nature reigns supreme. Surrounded by rivers, lagoons, wild vegetation and the scorching heat of a humid tropical climate, the city’s identity is shaped by intense and unpredictable natural forces. The capital of the Mexican state of Tabasco was founded in 1564 on the banks of the Grijalva River, a vital trade route that has significantly shaped the city’s development. For locals, the river has long been both blessing and threat; major floods have been recorded since the 17th century. A devastating flood in 2007 submerged what officials estimated to be 80 per cent of the city, damaging or destroying more than 120,000 homes. In the aftermath of the inundation, high concrete retaining walls were built along both banks of the Grijalva River to prevent further flooding. While this was an understandable measure at first glance, it consequently caused residents to lose both their visual and physical connection with the river. As a result, people moved, particularly from the western bank where the historical centre is located, to new areas further away from the Grijalva River. The riverfront was left to deteriorate into a troubled zone. On the eastern bank, the neighbourhood of Gaviotas was already considered unsafe before the flood, yet it maintained more of its residential character. In 2022, 15 years after the dramatic flood, then‑president Andrés Manuel López Obrador, more commonly known as AMLO, announced the construction of a new 6km‑long riverfront promenade in Villahermosa, the capital of his home state. The idea was to enable the population to once again take pride in and live with their river, looking to Paris and Rome as examples. The monumental task, with its large urban scale and the population’s psychological trauma, was entrusted to the Ministry of Agricultural, Territorial and Urban Developmentas part of their Programa de Mejoramiento Urbano. This programme aimed to use architecture as an ‘instrument of social transformation’. High expectations were placed on these projects; architects were asked to create ‘places of national pride’ while improving everyday living conditions. The architectural trio of Alejandro Castro Jiménez Labora, Mauricio Rocha Iturbide, and Óscar Rodríguez Castañeda, along with their teams, were commissioned to design a linear park along both banks of the Grijalva. Each architect contributed their strength: Castro brought his expertise in poetic urban furniture; Rocha his sensitive and atmospheric architectural approach; and Rodríguez his thoughtful urban and traffic planning skills. The SEDATU team provided technical and participatory expertise, enabling contextual sensitivity by sharing essential information about the site’s topography, soil conditions and water flows. From the city’s existing observatory, the Torre del Caballero landmark, visitors enjoy an excellent view over the redesigned riverbanks. The historical centre and the Gaviotas neighbourhood now form a single ensemble, while the intervention carefully responds to the different conditions found along the length of the river. The project’s main objective is to reclaim some of the land previously allocated to cars and create a promenade for pedestrians and slower vehicles, punctuated with public spaces and facilities. On both sides of the river, cars are now limited to just one or two grey asphalt lanes. Running alongside are generous cycle paths and pedestrian walkways made of earth‑coloured concrete. Speed bumps in the same material and colour connect the pavements on either side of the road while helping to limit traffic speed to 30km/h, further enhancing pedestrian safety. Several design elements are found along almost the entire promenade. A ribbon of light‑grey benches delineates the edge of the elevated riverfront; stone walls, steps and ramps are used to negotiate the slight changes in level; planters and lush vegetation soften the transition to the walkways, creating a welcome buffer from street traffic. The most visually striking components are the tall, red‑pigmented concrete light poles on the elevated path, adorned with elegant L‑shaped steel light fixtures, which establish a strong and cohesive visual rhythm. Only upon closer inspection you notice the 2007 retaining walls peeking through the dense tropical vegetation. Removing these unattractive concrete barriers was never an option; they stand as a symbol of successful flood protection for the local population. The architectural team ingeniously built the elevated promenade atop the existing wall – an effective concealment from the street side while simultaneously inviting residents to reconnect with the Grijalva.  At the foot of the observatory, directly below the retaining wall, the earth‑toned concrete platforms of the Carlos A Madrazo Becerra Park stretch towards the river. Visitors can access the park via a ramp from the promenade on the western bank or by ferry from the opposite side. In the park, concrete furnishings invite visitors to linger among tropical vegetation set against tall natural stone walls. Importantly, it is a space that is durable and requires minimal maintenance – a survival formula for public parks in the Mexican context. Small traces on the concrete benches reveal that the park weathered its baptism of fire last year: the design accommodates the river’s natural dynamics, adapting to fluctuating water levels without compromising public safety. Beyond providing much‑needed shade, the extensive planting of native, low‑maintenance plants on both riverbanks has improved soil stability. Above the park, on a broad extension of the elevated pathway, stand three long, elegant buildings with large cantilevered roofs supported by hefty beams resting on distinctive double columns. The tall glass walls that enclose the interiors are set back, creating a visual flow between interior and exterior spaces. While the beams evoke timber construction, they – like the columns – are made of the same pigmented concrete used for the promenade paving. Despite their refined composition, these structures have remained largely unused since their completion over a year ago, neither serving their intended function as restaurants nor hosting alternative uses. Even the beautifully designed park sees only limited public engagement. The ambitious goal of SEDATU with the PMU projects to ‘counteract violence and strengthen the social fabric’ appears, for now, to have fallen short in this area. According to national statistics, Villahermosa ranks first in perceived insecurity among Mexican cities. This sense of insecurity is tangible on the promenade by the city centre, where buildings that look abandoned contribute to an atmosphere of neglect. The situation is markedly different on the opposite riverbank, in the Gaviotas neighbourhood. Construction of the 3.5km promenade on this side began in 2021 with three open pavilions housing several small kiosks, which quickly evolved into popular taco stands. The Plaza Solidaridad, revitalised by the architectural trio, draws people from the surrounding vibrant neighbourhood. Further south, the final section that was built is a large sports area and children’s playground, which were embraced by the local community even before their official inauguration in February 2024. Especially after sunset, when the air cools, the well‑lit Gaviotas riverfront comes to life. During daylight hours, however, air‑conditioned shopping centres remain the preferred gathering places for the residents of Villahermosa. Rocha describes the city’s new promenade as a ‘jazz composition’, a striking metaphor that speaks of rhythmic complexity and the freedom to improvise. With just a few designed elements and carefully selected colours, the architects have harmoniously layered the river’s urban spaces. The project is earning international recognition but, in Mexico, it faced sharp criticism and was overshadowed by accusations of nepotism. Castro is a friend of AMLO’s son, and the fact that the intervention took place in the home state of the then‑president, coupled with its substantial budget by local standards, drew considerable attention. According to residents, this undermined public acceptance. When asked about the negative press, Rocha speaks of the need to develop a ‘crisis muscle’; he says architects working on public projects in Mexico must ‘let go of perfectionism’ as much lies beyond their control.  During AMLO’s six‑year term, which ended in 2024, SEDATU implemented 1,300 PMU projects in 193 highly marginalised municipalities across the country. While many of these interventions undoubtedly improved people’s quality of life, the Villahermosa riverside project also reveals architecture’s limitations, exposing some of the programme’s weaknesses: architectural interventions often act as sticking plasters on an extensively damaged urban fabric. They are handed over from a national ministry with comprehensive expertise and funding to local governments lacking the means to sustain them. Although SEDATU conducted participatory consultations during the project’s implementation, this engagement was absent once the project was completed. Public acceptance and appropriation can take time; what this project does is send an invitation out. 2025-06-05 Reuben J Brown Share AR June 2025RoadsBuy Now #after #flood #malecón #villahermosa #mexico
    WWW.ARCHITECTURAL-REVIEW.COM
    After the flood: Malecón de Villahermosa in Villahermosa, Mexico, by Taller Mauricio Rocha, TaAU and Alejandro Castro
    With reclaimed land previously allocated to cars, the Grijalva River boardwalk offers generous public spaces and reconnects the Mexican city of Villahermosa to its river In Villahermosa, nature reigns supreme. Surrounded by rivers, lagoons, wild vegetation and the scorching heat of a humid tropical climate, the city’s identity is shaped by intense and unpredictable natural forces. The capital of the Mexican state of Tabasco was founded in 1564 on the banks of the Grijalva River, a vital trade route that has significantly shaped the city’s development. For locals, the river has long been both blessing and threat; major floods have been recorded since the 17th century. A devastating flood in 2007 submerged what officials estimated to be 80 per cent of the city, damaging or destroying more than 120,000 homes. In the aftermath of the inundation, high concrete retaining walls were built along both banks of the Grijalva River to prevent further flooding. While this was an understandable measure at first glance, it consequently caused residents to lose both their visual and physical connection with the river. As a result, people moved, particularly from the western bank where the historical centre is located, to new areas further away from the Grijalva River. The riverfront was left to deteriorate into a troubled zone. On the eastern bank, the neighbourhood of Gaviotas was already considered unsafe before the flood, yet it maintained more of its residential character. In 2022, 15 years after the dramatic flood, then‑president Andrés Manuel López Obrador, more commonly known as AMLO, announced the construction of a new 6km‑long riverfront promenade in Villahermosa, the capital of his home state. The idea was to enable the population to once again take pride in and live with their river, looking to Paris and Rome as examples. The monumental task, with its large urban scale and the population’s psychological trauma, was entrusted to the Ministry of Agricultural, Territorial and Urban Development (SEDATU) as part of their Programa de Mejoramiento Urbano (Urban Improvement Programme, or PMU). This programme aimed to use architecture as an ‘instrument of social transformation’. High expectations were placed on these projects; architects were asked to create ‘places of national pride’ while improving everyday living conditions. The architectural trio of Alejandro Castro Jiménez Labora, Mauricio Rocha Iturbide, and Óscar Rodríguez Castañeda, along with their teams, were commissioned to design a linear park along both banks of the Grijalva. Each architect contributed their strength: Castro brought his expertise in poetic urban furniture; Rocha his sensitive and atmospheric architectural approach; and Rodríguez his thoughtful urban and traffic planning skills. The SEDATU team provided technical and participatory expertise, enabling contextual sensitivity by sharing essential information about the site’s topography, soil conditions and water flows. From the city’s existing observatory, the Torre del Caballero landmark, visitors enjoy an excellent view over the redesigned riverbanks. The historical centre and the Gaviotas neighbourhood now form a single ensemble, while the intervention carefully responds to the different conditions found along the length of the river. The project’s main objective is to reclaim some of the land previously allocated to cars and create a promenade for pedestrians and slower vehicles, punctuated with public spaces and facilities. On both sides of the river, cars are now limited to just one or two grey asphalt lanes. Running alongside are generous cycle paths and pedestrian walkways made of earth‑coloured concrete. Speed bumps in the same material and colour connect the pavements on either side of the road while helping to limit traffic speed to 30km/h, further enhancing pedestrian safety. Several design elements are found along almost the entire promenade. A ribbon of light‑grey benches delineates the edge of the elevated riverfront; stone walls, steps and ramps are used to negotiate the slight changes in level; planters and lush vegetation soften the transition to the walkways, creating a welcome buffer from street traffic. The most visually striking components are the tall, red‑pigmented concrete light poles on the elevated path, adorned with elegant L‑shaped steel light fixtures, which establish a strong and cohesive visual rhythm. Only upon closer inspection you notice the 2007 retaining walls peeking through the dense tropical vegetation. Removing these unattractive concrete barriers was never an option; they stand as a symbol of successful flood protection for the local population. The architectural team ingeniously built the elevated promenade atop the existing wall – an effective concealment from the street side while simultaneously inviting residents to reconnect with the Grijalva.  At the foot of the observatory, directly below the retaining wall, the earth‑toned concrete platforms of the Carlos A Madrazo Becerra Park stretch towards the river. Visitors can access the park via a ramp from the promenade on the western bank or by ferry from the opposite side. In the park, concrete furnishings invite visitors to linger among tropical vegetation set against tall natural stone walls. Importantly, it is a space that is durable and requires minimal maintenance – a survival formula for public parks in the Mexican context. Small traces on the concrete benches reveal that the park weathered its baptism of fire last year: the design accommodates the river’s natural dynamics, adapting to fluctuating water levels without compromising public safety. Beyond providing much‑needed shade, the extensive planting of native, low‑maintenance plants on both riverbanks has improved soil stability. Above the park, on a broad extension of the elevated pathway, stand three long, elegant buildings with large cantilevered roofs supported by hefty beams resting on distinctive double columns. The tall glass walls that enclose the interiors are set back, creating a visual flow between interior and exterior spaces. While the beams evoke timber construction, they – like the columns – are made of the same pigmented concrete used for the promenade paving. Despite their refined composition, these structures have remained largely unused since their completion over a year ago, neither serving their intended function as restaurants nor hosting alternative uses. Even the beautifully designed park sees only limited public engagement. The ambitious goal of SEDATU with the PMU projects to ‘counteract violence and strengthen the social fabric’ appears, for now, to have fallen short in this area. According to national statistics, Villahermosa ranks first in perceived insecurity among Mexican cities. This sense of insecurity is tangible on the promenade by the city centre, where buildings that look abandoned contribute to an atmosphere of neglect. The situation is markedly different on the opposite riverbank, in the Gaviotas neighbourhood. Construction of the 3.5km promenade on this side began in 2021 with three open pavilions housing several small kiosks, which quickly evolved into popular taco stands. The Plaza Solidaridad, revitalised by the architectural trio, draws people from the surrounding vibrant neighbourhood. Further south, the final section that was built is a large sports area and children’s playground, which were embraced by the local community even before their official inauguration in February 2024. Especially after sunset, when the air cools, the well‑lit Gaviotas riverfront comes to life. During daylight hours, however, air‑conditioned shopping centres remain the preferred gathering places for the residents of Villahermosa. Rocha describes the city’s new promenade as a ‘jazz composition’, a striking metaphor that speaks of rhythmic complexity and the freedom to improvise. With just a few designed elements and carefully selected colours, the architects have harmoniously layered the river’s urban spaces. The project is earning international recognition but, in Mexico, it faced sharp criticism and was overshadowed by accusations of nepotism. Castro is a friend of AMLO’s son, and the fact that the intervention took place in the home state of the then‑president, coupled with its substantial budget by local standards, drew considerable attention. According to residents, this undermined public acceptance. When asked about the negative press, Rocha speaks of the need to develop a ‘crisis muscle’; he says architects working on public projects in Mexico must ‘let go of perfectionism’ as much lies beyond their control.  During AMLO’s six‑year term, which ended in 2024, SEDATU implemented 1,300 PMU projects in 193 highly marginalised municipalities across the country. While many of these interventions undoubtedly improved people’s quality of life, the Villahermosa riverside project also reveals architecture’s limitations, exposing some of the programme’s weaknesses: architectural interventions often act as sticking plasters on an extensively damaged urban fabric. They are handed over from a national ministry with comprehensive expertise and funding to local governments lacking the means to sustain them. Although SEDATU conducted participatory consultations during the project’s implementation, this engagement was absent once the project was completed. Public acceptance and appropriation can take time; what this project does is send an invitation out. 2025-06-05 Reuben J Brown Share AR June 2025RoadsBuy Now
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