• In a world that feels increasingly lonely, the return of the Muppets in VR sparks a bittersweet nostalgia. I remember the joy they brought to my childhood, their silly antics and vibrant laughter. Yet, with every sketch they unveil, I can't help but feel the weight of their absence in reality, as if they are mere shadows of the happiness they once embodied. The vibrant colors of their world contrast sharply with the gray hues of my own life.

    As Muppet Vision 3D fades into memory, I am left with a void that no virtual experience can fill. The laughter that echoing in the theaters now feels like a distant dream, a reminder of the innocence that has long since slipped away. I find solace in these new sketches, yet they also serve as a painful reminder of how disconnected I am from the joy they once represented.

    Every character that pops up on the screen, every clever quip, feels like a fleeting moment of happiness that I can never truly grasp. It's as if the Muppets are reaching out from behind the screen, inviting me to join their world, but I remain trapped in my solitude, unable to cross that invisible barrier. The more I watch, the more I realize how far removed I am from that sense of belonging, that warmth of companionship.

    The Muppets may come back to entertain, but the laughter feels hollow without someone to share it with. Their quirky sketches remind me of what I've lost—connections that once brought light into my life, now replaced with echoes of silence. I yearn for the days when joy was a shared experience, not just a moment in a virtual world.

    As I sit in my quiet room, watching the colorful chaos unfold on the screen, I can’t help but feel the sting of loneliness creeping in. The Muppets might be back in VR, but for me, the laughter is just a whisper in the wind, fading away like all the moments I've wished to share with someone who understands. It’s a cruel irony that the return of something so beloved can also highlight just how alone I feel in this vast, unfeeling world.

    #Muppets #VR #Loneliness #Nostalgia #Heartbreak
    In a world that feels increasingly lonely, the return of the Muppets in VR sparks a bittersweet nostalgia. I remember the joy they brought to my childhood, their silly antics and vibrant laughter. Yet, with every sketch they unveil, I can't help but feel the weight of their absence in reality, as if they are mere shadows of the happiness they once embodied. The vibrant colors of their world contrast sharply with the gray hues of my own life. As Muppet Vision 3D fades into memory, I am left with a void that no virtual experience can fill. The laughter that echoing in the theaters now feels like a distant dream, a reminder of the innocence that has long since slipped away. I find solace in these new sketches, yet they also serve as a painful reminder of how disconnected I am from the joy they once represented. Every character that pops up on the screen, every clever quip, feels like a fleeting moment of happiness that I can never truly grasp. It's as if the Muppets are reaching out from behind the screen, inviting me to join their world, but I remain trapped in my solitude, unable to cross that invisible barrier. The more I watch, the more I realize how far removed I am from that sense of belonging, that warmth of companionship. The Muppets may come back to entertain, but the laughter feels hollow without someone to share it with. Their quirky sketches remind me of what I've lost—connections that once brought light into my life, now replaced with echoes of silence. I yearn for the days when joy was a shared experience, not just a moment in a virtual world. As I sit in my quiet room, watching the colorful chaos unfold on the screen, I can’t help but feel the sting of loneliness creeping in. The Muppets might be back in VR, but for me, the laughter is just a whisper in the wind, fading away like all the moments I've wished to share with someone who understands. It’s a cruel irony that the return of something so beloved can also highlight just how alone I feel in this vast, unfeeling world. #Muppets #VR #Loneliness #Nostalgia #Heartbreak
    Les Muppets reviennent en VR pour leurs sketches les plus fous
    Les Muppets n’ont pas disparu. Après la fermeture de Muppet Vision 3D aux studios d’Hollywood, […] Cet article Les Muppets reviennent en VR pour leurs sketches les plus fous a été publié sur REALITE-VIRTUELLE.COM.
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  • NYT Connections Sports Edition today: Hints and answers for June 16, 2025

    Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite

    Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.

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    Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: ScorelessGreen: Midwest college townsBlue: GolfPurple: Major names behind the plate

    Featured Video For You

    Connections: How to play and how to win

    Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: Slang for ZeroGreen: Big Ten CitiesBlue: Sites of This Year's Men's Golf MajorsPurple: MLB CatchersLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #266 is...What is the answer to Connections Sports Edition todaySlang for Zero - BAGEL, DONUT, GOOSE EGG, NILBig Ten Cities - COLLEGE PARK, COLUMBUS, EAST LANSING, MADISONSites of This Year's Men's Golf Majors - AUGUSTA, OAKMONT, QUAIL HOLLOW, ROYAL PORTRUSHMLB Catchers - PEREZ, RALEIGH, REALMUTO, RUTSCHMANDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections.

    Topics
    Connections
    #nyt #connections #sports #edition #today
    NYT Connections Sports Edition today: Hints and answers for June 16, 2025
    Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media. Mashable Top Stories Stay connected with the hottest stories of the day and the latest entertainment news. Sign up for Mashable's Top Stories newsletter By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: ScorelessGreen: Midwest college townsBlue: GolfPurple: Major names behind the plate Featured Video For You Connections: How to play and how to win Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: Slang for ZeroGreen: Big Ten CitiesBlue: Sites of This Year's Men's Golf MajorsPurple: MLB CatchersLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #266 is...What is the answer to Connections Sports Edition todaySlang for Zero - BAGEL, DONUT, GOOSE EGG, NILBig Ten Cities - COLLEGE PARK, COLUMBUS, EAST LANSING, MADISONSites of This Year's Men's Golf Majors - AUGUSTA, OAKMONT, QUAIL HOLLOW, ROYAL PORTRUSHMLB Catchers - PEREZ, RALEIGH, REALMUTO, RUTSCHMANDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections. Topics Connections #nyt #connections #sports #edition #today
    MASHABLE.COM
    NYT Connections Sports Edition today: Hints and answers for June 16, 2025
    Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media. Mashable Top Stories Stay connected with the hottest stories of the day and the latest entertainment news. Sign up for Mashable's Top Stories newsletter By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: ScorelessGreen: Midwest college townsBlue: GolfPurple: Major names behind the plate Featured Video For You Connections: How to play and how to win Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: Slang for ZeroGreen: Big Ten CitiesBlue: Sites of This Year's Men's Golf MajorsPurple: MLB CatchersLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #266 is...What is the answer to Connections Sports Edition todaySlang for Zero - BAGEL, DONUT, GOOSE EGG, NILBig Ten Cities - COLLEGE PARK, COLUMBUS, EAST LANSING, MADISONSites of This Year's Men's Golf Majors - AUGUSTA, OAKMONT, QUAIL HOLLOW, ROYAL PORTRUSHMLB Catchers - PEREZ, RALEIGH, REALMUTO, RUTSCHMANDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections. Topics Connections
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  • Q&A: How anacondas, chickens, and locals may be able to coexist in the Amazon

    A coiled giant anaconda. They are the largest snake species in Brazil and play a major role in legends including the ‘Boiuna’ and the ‘Cobra Grande.’ CREDIT: Beatriz Cosendey.

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    Breakthroughs, discoveries, and DIY tips sent every weekday.

    South America’s lush Amazon region is a biodiversity hotspot, which means that every living thing must find a way to co-exist. Even some of the most feared snakes on the planet–anacondas. In a paper published June 16 in the journal Frontiers in Amphibian and Reptile Science, conservation biologists Beatriz Cosendey and Juarez Carlos Brito Pezzuti from the Federal University of Pará’s Center for Amazonian Studies in Brazil, analyze the key points behind the interactions between humans and the local anaconda populations.
    Ahead of the paper’s publication, the team at Frontiers conducted this wide-ranging Q&A with Conesday. It has not been altered.
    Frontiers: What inspired you to become a researcher?
    Beatriz Cosendey: As a child, I was fascinated by reports and documentaries about field research and often wondered what it took to be there and what kind of knowledge was being produced. Later, as an ecologist, I felt the need for approaches that better connected scientific research with real-world contexts. I became especially interested in perspectives that viewed humans not as separate from nature, but as part of ecological systems. This led me to explore integrative methods that incorporate local and traditional knowledge, aiming to make research more relevant and accessible to the communities involved.
    F: Can you tell us about the research you’re currently working on?
    BC: My research focuses on ethnobiology, an interdisciplinary field intersecting ecology, conservation, and traditional knowledge. We investigate not only the biodiversity of an area but also the relationship local communities have with surrounding species, providing a better understanding of local dynamics and areas needing special attention for conservation. After all, no one knows a place better than those who have lived there for generations. This deep familiarity allows for early detection of changes or environmental shifts. Additionally, developing a collaborative project with residents generates greater engagement, as they recognize themselves as active contributors; and collective participation is essential for effective conservation.
    Local boating the Amazon River. CREDIT: Beatriz Cosendey.
    F: Could you tell us about one of the legends surrounding anacondas?
    BC: One of the greatest myths is about the Great Snake—a huge snake that is said to inhabit the Amazon River and sleep beneath the town. According to the dwellers, the Great Snake is an anaconda that has grown too large; its movements can shake the river’s waters, and its eyes look like fire in the darkness of night. People say anacondas can grow so big that they can swallow large animals—including humans or cattle—without difficulty.
    F: What could be the reasons why the traditional role of anacondas as a spiritual and mythological entity has changed? Do you think the fact that fewer anacondas have been seen in recent years contributes to their diminished importance as an mythological entity?
    BC: Not exactly. I believe the two are related, but not in a direct way. The mythology still exists, but among Aritapera dwellers, there’s a more practical, everyday concern—mainly the fear of losing their chickens. As a result, anacondas have come to be seen as stealthy thieves. These traits are mostly associated with smaller individuals, while the larger ones—which may still carry the symbolic weight of the ‘Great Snake’—tend to retreat to more sheltered areas; because of the presence of houses, motorized boats, and general noise, they are now seen much less frequently.
    A giant anaconda is being measured. Credit: Pedro Calazans.
    F: Can you share some of the quotes you’ve collected in interviews that show the attitude of community members towards anacondas? How do chickens come into play?
    BC: When talking about anacondas, one thing always comes up: chickens. “Chicken is herfavorite dish. If one clucks, she comes,” said one dweller. This kind of remark helps explain why the conflict is often framed in economic terms. During the interviews and conversations with local dwellers, many emphasized the financial impact of losing their animals: “The biggest loss is that they keep taking chicks and chickens…” or “You raise the chicken—you can’t just let it be eaten for free, right?”
    For them, it’s a loss of investment, especially since corn, which is used as chicken feed, is expensive. As one person put it: “We spend time feeding and raising the birds, and then the snake comes and takes them.” One dweller shared that, in an attempt to prevent another loss, he killed the anaconda and removed the last chicken it had swallowed from its belly—”it was still fresh,” he said—and used it for his meal, cooking the chicken for lunch so it wouldn’t go to waste.
    One of the Amazonas communities where the researchers conducted their research. CREDIT: Beatriz Cosendey.
    Some interviewees reported that they had to rebuild their chicken coops and pigsties because too many anacondas were getting in. Participants would point out where the anaconda had entered and explained that they came in through gaps or cracks but couldn’t get out afterwards because they ‘tufavam’ — a local term referring to the snake’s body swelling after ingesting prey.
    We saw chicken coops made with mesh, with nylon, some that worked and some that didn’t. Guided by the locals’ insights, we concluded that the best solution to compensate for the gaps between the wooden slats is to line the coop with a fine nylon mesh, and on the outside, a layer of wire mesh, which protects the inner mesh and prevents the entry of larger animals.
    F: Are there any common misconceptions about this area of research? How would you address them?
    BC: Yes, very much. Although ethnobiology is an old science, it’s still underexplored and often misunderstood. In some fields, there are ongoing debates about the robustness and scientific validity of the field and related areas. This is largely because the findings don’t always rely only on hard statistical data.
    However, like any other scientific field, it follows standardized methodologies, and no result is accepted without proper grounding. What happens is that ethnobiology leans more toward the human sciences, placing human beings and traditional knowledge as key variables within its framework.
    To address these misconceptions, I believe it’s important to emphasize that ethnobiology produces solid and relevant knowledge—especially in the context of conservation and sustainable development. It offers insights that purely biological approaches might overlook and helps build bridges between science and society.
    The study focused on the várzea regions of the Lower Amazon River. CREDIT: Beatriz Cosendey.
    F: What are some of the areas of research you’d like to see tackled in the years ahead?
    BC: I’d like to see more conservation projects that include local communities as active participants rather than as passive observers. Incorporating their voices, perspectives, and needs not only makes initiatives more effective, but also more just. There is also great potential in recognizing and valuing traditional knowledge. Beyond its cultural significance, certain practices—such as the use of natural compounds—could become practical assets for other vulnerable regions. Once properly documented and understood, many of these approaches offer adaptable forms of environmental management and could help inform broader conservation strategies elsewhere.
    F: How has open science benefited the reach and impact of your research?
    BC: Open science is crucial for making research more accessible. By eliminating access barriers, it facilitates a broader exchange of knowledge—important especially for interdisciplinary research like mine which draws on multiple knowledge systems and gains value when shared widely. For scientific work, it ensures that knowledge reaches a wider audience, including practitioners and policymakers. This openness fosters dialogue across different sectors, making research more inclusive and encouraging greater collaboration among diverse groups.
    The Q&A can also be read here.
    #qampampa #how #anacondas #chickens #locals
    Q&A: How anacondas, chickens, and locals may be able to coexist in the Amazon
    A coiled giant anaconda. They are the largest snake species in Brazil and play a major role in legends including the ‘Boiuna’ and the ‘Cobra Grande.’ CREDIT: Beatriz Cosendey. Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. South America’s lush Amazon region is a biodiversity hotspot, which means that every living thing must find a way to co-exist. Even some of the most feared snakes on the planet–anacondas. In a paper published June 16 in the journal Frontiers in Amphibian and Reptile Science, conservation biologists Beatriz Cosendey and Juarez Carlos Brito Pezzuti from the Federal University of Pará’s Center for Amazonian Studies in Brazil, analyze the key points behind the interactions between humans and the local anaconda populations. Ahead of the paper’s publication, the team at Frontiers conducted this wide-ranging Q&A with Conesday. It has not been altered. Frontiers: What inspired you to become a researcher? Beatriz Cosendey: As a child, I was fascinated by reports and documentaries about field research and often wondered what it took to be there and what kind of knowledge was being produced. Later, as an ecologist, I felt the need for approaches that better connected scientific research with real-world contexts. I became especially interested in perspectives that viewed humans not as separate from nature, but as part of ecological systems. This led me to explore integrative methods that incorporate local and traditional knowledge, aiming to make research more relevant and accessible to the communities involved. F: Can you tell us about the research you’re currently working on? BC: My research focuses on ethnobiology, an interdisciplinary field intersecting ecology, conservation, and traditional knowledge. We investigate not only the biodiversity of an area but also the relationship local communities have with surrounding species, providing a better understanding of local dynamics and areas needing special attention for conservation. After all, no one knows a place better than those who have lived there for generations. This deep familiarity allows for early detection of changes or environmental shifts. Additionally, developing a collaborative project with residents generates greater engagement, as they recognize themselves as active contributors; and collective participation is essential for effective conservation. Local boating the Amazon River. CREDIT: Beatriz Cosendey. F: Could you tell us about one of the legends surrounding anacondas? BC: One of the greatest myths is about the Great Snake—a huge snake that is said to inhabit the Amazon River and sleep beneath the town. According to the dwellers, the Great Snake is an anaconda that has grown too large; its movements can shake the river’s waters, and its eyes look like fire in the darkness of night. People say anacondas can grow so big that they can swallow large animals—including humans or cattle—without difficulty. F: What could be the reasons why the traditional role of anacondas as a spiritual and mythological entity has changed? Do you think the fact that fewer anacondas have been seen in recent years contributes to their diminished importance as an mythological entity? BC: Not exactly. I believe the two are related, but not in a direct way. The mythology still exists, but among Aritapera dwellers, there’s a more practical, everyday concern—mainly the fear of losing their chickens. As a result, anacondas have come to be seen as stealthy thieves. These traits are mostly associated with smaller individuals, while the larger ones—which may still carry the symbolic weight of the ‘Great Snake’—tend to retreat to more sheltered areas; because of the presence of houses, motorized boats, and general noise, they are now seen much less frequently. A giant anaconda is being measured. Credit: Pedro Calazans. F: Can you share some of the quotes you’ve collected in interviews that show the attitude of community members towards anacondas? How do chickens come into play? BC: When talking about anacondas, one thing always comes up: chickens. “Chicken is herfavorite dish. If one clucks, she comes,” said one dweller. This kind of remark helps explain why the conflict is often framed in economic terms. During the interviews and conversations with local dwellers, many emphasized the financial impact of losing their animals: “The biggest loss is that they keep taking chicks and chickens…” or “You raise the chicken—you can’t just let it be eaten for free, right?” For them, it’s a loss of investment, especially since corn, which is used as chicken feed, is expensive. As one person put it: “We spend time feeding and raising the birds, and then the snake comes and takes them.” One dweller shared that, in an attempt to prevent another loss, he killed the anaconda and removed the last chicken it had swallowed from its belly—”it was still fresh,” he said—and used it for his meal, cooking the chicken for lunch so it wouldn’t go to waste. One of the Amazonas communities where the researchers conducted their research. CREDIT: Beatriz Cosendey. Some interviewees reported that they had to rebuild their chicken coops and pigsties because too many anacondas were getting in. Participants would point out where the anaconda had entered and explained that they came in through gaps or cracks but couldn’t get out afterwards because they ‘tufavam’ — a local term referring to the snake’s body swelling after ingesting prey. We saw chicken coops made with mesh, with nylon, some that worked and some that didn’t. Guided by the locals’ insights, we concluded that the best solution to compensate for the gaps between the wooden slats is to line the coop with a fine nylon mesh, and on the outside, a layer of wire mesh, which protects the inner mesh and prevents the entry of larger animals. F: Are there any common misconceptions about this area of research? How would you address them? BC: Yes, very much. Although ethnobiology is an old science, it’s still underexplored and often misunderstood. In some fields, there are ongoing debates about the robustness and scientific validity of the field and related areas. This is largely because the findings don’t always rely only on hard statistical data. However, like any other scientific field, it follows standardized methodologies, and no result is accepted without proper grounding. What happens is that ethnobiology leans more toward the human sciences, placing human beings and traditional knowledge as key variables within its framework. To address these misconceptions, I believe it’s important to emphasize that ethnobiology produces solid and relevant knowledge—especially in the context of conservation and sustainable development. It offers insights that purely biological approaches might overlook and helps build bridges between science and society. The study focused on the várzea regions of the Lower Amazon River. CREDIT: Beatriz Cosendey. F: What are some of the areas of research you’d like to see tackled in the years ahead? BC: I’d like to see more conservation projects that include local communities as active participants rather than as passive observers. Incorporating their voices, perspectives, and needs not only makes initiatives more effective, but also more just. There is also great potential in recognizing and valuing traditional knowledge. Beyond its cultural significance, certain practices—such as the use of natural compounds—could become practical assets for other vulnerable regions. Once properly documented and understood, many of these approaches offer adaptable forms of environmental management and could help inform broader conservation strategies elsewhere. F: How has open science benefited the reach and impact of your research? BC: Open science is crucial for making research more accessible. By eliminating access barriers, it facilitates a broader exchange of knowledge—important especially for interdisciplinary research like mine which draws on multiple knowledge systems and gains value when shared widely. For scientific work, it ensures that knowledge reaches a wider audience, including practitioners and policymakers. This openness fosters dialogue across different sectors, making research more inclusive and encouraging greater collaboration among diverse groups. The Q&A can also be read here. #qampampa #how #anacondas #chickens #locals
    WWW.POPSCI.COM
    Q&A: How anacondas, chickens, and locals may be able to coexist in the Amazon
    A coiled giant anaconda. They are the largest snake species in Brazil and play a major role in legends including the ‘Boiuna’ and the ‘Cobra Grande.’ CREDIT: Beatriz Cosendey. Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. South America’s lush Amazon region is a biodiversity hotspot, which means that every living thing must find a way to co-exist. Even some of the most feared snakes on the planet–anacondas. In a paper published June 16 in the journal Frontiers in Amphibian and Reptile Science, conservation biologists Beatriz Cosendey and Juarez Carlos Brito Pezzuti from the Federal University of Pará’s Center for Amazonian Studies in Brazil, analyze the key points behind the interactions between humans and the local anaconda populations. Ahead of the paper’s publication, the team at Frontiers conducted this wide-ranging Q&A with Conesday. It has not been altered. Frontiers: What inspired you to become a researcher? Beatriz Cosendey: As a child, I was fascinated by reports and documentaries about field research and often wondered what it took to be there and what kind of knowledge was being produced. Later, as an ecologist, I felt the need for approaches that better connected scientific research with real-world contexts. I became especially interested in perspectives that viewed humans not as separate from nature, but as part of ecological systems. This led me to explore integrative methods that incorporate local and traditional knowledge, aiming to make research more relevant and accessible to the communities involved. F: Can you tell us about the research you’re currently working on? BC: My research focuses on ethnobiology, an interdisciplinary field intersecting ecology, conservation, and traditional knowledge. We investigate not only the biodiversity of an area but also the relationship local communities have with surrounding species, providing a better understanding of local dynamics and areas needing special attention for conservation. After all, no one knows a place better than those who have lived there for generations. This deep familiarity allows for early detection of changes or environmental shifts. Additionally, developing a collaborative project with residents generates greater engagement, as they recognize themselves as active contributors; and collective participation is essential for effective conservation. Local boating the Amazon River. CREDIT: Beatriz Cosendey. F: Could you tell us about one of the legends surrounding anacondas? BC: One of the greatest myths is about the Great Snake—a huge snake that is said to inhabit the Amazon River and sleep beneath the town. According to the dwellers, the Great Snake is an anaconda that has grown too large; its movements can shake the river’s waters, and its eyes look like fire in the darkness of night. People say anacondas can grow so big that they can swallow large animals—including humans or cattle—without difficulty. F: What could be the reasons why the traditional role of anacondas as a spiritual and mythological entity has changed? Do you think the fact that fewer anacondas have been seen in recent years contributes to their diminished importance as an mythological entity? BC: Not exactly. I believe the two are related, but not in a direct way. The mythology still exists, but among Aritapera dwellers, there’s a more practical, everyday concern—mainly the fear of losing their chickens. As a result, anacondas have come to be seen as stealthy thieves. These traits are mostly associated with smaller individuals (up to around 2–2.5 meters), while the larger ones—which may still carry the symbolic weight of the ‘Great Snake’—tend to retreat to more sheltered areas; because of the presence of houses, motorized boats, and general noise, they are now seen much less frequently. A giant anaconda is being measured. Credit: Pedro Calazans. F: Can you share some of the quotes you’ve collected in interviews that show the attitude of community members towards anacondas? How do chickens come into play? BC: When talking about anacondas, one thing always comes up: chickens. “Chicken is her [the anaconda’s] favorite dish. If one clucks, she comes,” said one dweller. This kind of remark helps explain why the conflict is often framed in economic terms. During the interviews and conversations with local dwellers, many emphasized the financial impact of losing their animals: “The biggest loss is that they keep taking chicks and chickens…” or “You raise the chicken—you can’t just let it be eaten for free, right?” For them, it’s a loss of investment, especially since corn, which is used as chicken feed, is expensive. As one person put it: “We spend time feeding and raising the birds, and then the snake comes and takes them.” One dweller shared that, in an attempt to prevent another loss, he killed the anaconda and removed the last chicken it had swallowed from its belly—”it was still fresh,” he said—and used it for his meal, cooking the chicken for lunch so it wouldn’t go to waste. One of the Amazonas communities where the researchers conducted their research. CREDIT: Beatriz Cosendey. Some interviewees reported that they had to rebuild their chicken coops and pigsties because too many anacondas were getting in. Participants would point out where the anaconda had entered and explained that they came in through gaps or cracks but couldn’t get out afterwards because they ‘tufavam’ — a local term referring to the snake’s body swelling after ingesting prey. We saw chicken coops made with mesh, with nylon, some that worked and some that didn’t. Guided by the locals’ insights, we concluded that the best solution to compensate for the gaps between the wooden slats is to line the coop with a fine nylon mesh (to block smaller animals), and on the outside, a layer of wire mesh, which protects the inner mesh and prevents the entry of larger animals. F: Are there any common misconceptions about this area of research? How would you address them? BC: Yes, very much. Although ethnobiology is an old science, it’s still underexplored and often misunderstood. In some fields, there are ongoing debates about the robustness and scientific validity of the field and related areas. This is largely because the findings don’t always rely only on hard statistical data. However, like any other scientific field, it follows standardized methodologies, and no result is accepted without proper grounding. What happens is that ethnobiology leans more toward the human sciences, placing human beings and traditional knowledge as key variables within its framework. To address these misconceptions, I believe it’s important to emphasize that ethnobiology produces solid and relevant knowledge—especially in the context of conservation and sustainable development. It offers insights that purely biological approaches might overlook and helps build bridges between science and society. The study focused on the várzea regions of the Lower Amazon River. CREDIT: Beatriz Cosendey. F: What are some of the areas of research you’d like to see tackled in the years ahead? BC: I’d like to see more conservation projects that include local communities as active participants rather than as passive observers. Incorporating their voices, perspectives, and needs not only makes initiatives more effective, but also more just. There is also great potential in recognizing and valuing traditional knowledge. Beyond its cultural significance, certain practices—such as the use of natural compounds—could become practical assets for other vulnerable regions. Once properly documented and understood, many of these approaches offer adaptable forms of environmental management and could help inform broader conservation strategies elsewhere. F: How has open science benefited the reach and impact of your research? BC: Open science is crucial for making research more accessible. By eliminating access barriers, it facilitates a broader exchange of knowledge—important especially for interdisciplinary research like mine which draws on multiple knowledge systems and gains value when shared widely. For scientific work, it ensures that knowledge reaches a wider audience, including practitioners and policymakers. This openness fosters dialogue across different sectors, making research more inclusive and encouraging greater collaboration among diverse groups. The Q&A can also be read here.
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  • New Court Order in Stratasys v. Bambu Lab Lawsuit

    There has been a new update to the ongoing Stratasys v. Bambu Lab patent infringement lawsuit. 
    Both parties have agreed to consolidate the lead and member casesinto a single case under Case No. 2:25-cv-00465-JRG. 
    Industrial 3D printing OEM Stratasys filed the request late last month. According to an official court document, Shenzhen-based Bambu Lab did not oppose the motion. Stratasys argued that this non-opposition amounted to the defendants waiving their right to challenge the request under U.S. patent law 35 U.S.C. § 299.
    On June 2, the U.S. District Court for the Eastern District of Texas, Marshall Division, ordered Bambu Lab to confirm in writing whether it agreed to the proposed case consolidation. The court took this step out of an “abundance of caution” to ensure both parties consented to the procedure before moving forward.
    Bambu Lab submitted its response on June 12, agreeing to the consolidation. The company, along with co-defendants Shenzhen Tuozhu Technology Co., Ltd., Shanghai Lunkuo Technology Co., Ltd., and Tuozhu Technology Limited, waived its rights under 35 U.S.C. § 299. The court will now decide whether to merge the cases.
    This followed U.S. District Judge Rodney Gilstrap’s decision last month to deny Bambu Lab’s motion to dismiss the lawsuits. 
    The Chinese desktop 3D printer manufacturer filed the motion in February 2025, arguing the cases were invalid because its US-based subsidiary, Bambu Lab USA, was not named in the original litigation. However, it agreed that the lawsuit could continue in the Austin division of the Western District of Texas, where a parallel case was filed last year. 
    Judge Gilstrap denied the motion, ruling that the cases properly target the named defendants. He concluded that Bambu Lab USA isn’t essential to the dispute, and that any misnaming should be addressed in summary judgment, not dismissal.       
    A Stratasys Fortus 450mcand a Bambu Lab X1C. Image by 3D Printing industry.
    Another twist in the Stratasys v. Bambu Lab lawsuit 
    Stratasys filed the two lawsuits against Bambu Lab in the Eastern District of Texas, Marshall Division, in August 2024. The company claims that Bambu Lab’s X1C, X1E, P1S, P1P, A1, and A1 mini 3D printers violate ten of its patents. These patents cover common 3D printing features, including purge towers, heated build plates, tool head force detection, and networking capabilities.
    Stratasys has requested a jury trial. It is seeking a ruling that Bambu Lab infringed its patents, along with financial damages and an injunction to stop Bambu from selling the allegedly infringing 3D printers.
    Last October, Stratasys dropped charges against two of the originally named defendants in the dispute. Court documents showed that Beijing Tiertime Technology Co., Ltd. and Beijing Yinhua Laser Rapid Prototyping and Mould Technology Co., Ltd were removed. Both defendants represent the company Tiertime, China’s first 3D printer manufacturer. The District Court accepted the dismissal, with all claims dropped without prejudice.
    It’s unclear why Stratasys named Beijing-based Tiertime as a defendant in the first place, given the lack of an obvious connection to Bambu Lab. 
    Tiertime and Stratasys have a history of legal disputes over patent issues. In 2013, Stratasys sued Afinia, Tiertime’s U.S. distributor and partner, for patent infringement. Afinia responded by suing uCRobotics, the Chinese distributor of MakerBot 3D printers, also alleging patent violations. Stratasys acquired MakerBot in June 2013. The company later merged with Ultimaker in 2022.
    In February 2025, Bambu Lab filed a motion to dismiss the original lawsuits. The company argued that Stratasys’ claims, focused on the sale, importation, and distribution of 3D printers in the United States, do not apply to the Shenzhen-based parent company. Bambu Lab contended that the allegations concern its American subsidiary, Bambu Lab USA, which was not named in the complaint filed in the Eastern District of Texas.
    Bambu Lab filed a motion to dismiss, claiming the case is invalid under Federal Rule of Civil Procedure 19. It argued that any party considered a “primary participant” in the allegations must be included as a defendant.   
    The court denied the motion on May 29, 2025. In the ruling, Judge Gilstrap explained that Stratasys’ allegations focus on the actions of the named defendants, not Bambu Lab USA. As a result, the official court document called Bambu Lab’s argument “unavailing.” Additionally, the Judge stated that, since Bambu Lab USA and Bambu Lab are both owned by Shenzhen Tuozhu, “the interest of these two entities align,” meaning the original cases are valid.  
    In the official court document, Judge Gilstrap emphasized that Stratasys can win or lose the lawsuits based solely on the actions of the current defendants, regardless of Bambu Lab USA’s involvement. He added that any potential risk to Bambu Lab USA’s business is too vague or hypothetical to justify making it a required party.
    Finally, the court noted that even if Stratasys named the wrong defendant, this does not justify dismissal under Rule 12. Instead, the judge stated it would be more appropriate for the defendants to raise that argument in a motion for summary judgment.
    The Bambu Lab X1C 3D printer. Image via Bambu Lab.
    3D printing patent battles 
    The 3D printing industry has seen its fair share of patent infringement disputes over recent months. In May 2025, 3D printer hotend developer Slice Engineering reached an agreement with Creality over a patent non-infringement lawsuit. 
    The Chinese 3D printer OEM filed the lawsuit in July 2024 in the U.S. District Court for the Northern District of Florida, Gainesville Division. The company claimed that Slice Engineering had falsely accused it of infringing two hotend patents, U.S. Patent Nos. 10,875,244 and 11,660,810. These cover mechanical and thermal features of Slice’s Mosquito 3D printer hotend. Creality requested a jury trial and sought a ruling confirming it had not infringed either patent.
    Court documents show that Slice Engineering filed a countersuit in December 2024. The Gainesville-based company maintained that Creaility “has infringed and continues to infringe” on both patents. In the filing, the company also denied allegations that it had harassed Creality’s partners, distributors, and customers, and claimed that Creality had refused to negotiate a resolution.  
    The Creality v. Slice Engineering lawsuit has since been dropped following a mutual resolution. Court documents show that both parties have permanently dismissed all claims and counterclaims, agreeing to cover their own legal fees and costs. 
    In other news, large-format resin 3D printer manufacturer Intrepid Automation sued 3D Systems over alleged patent infringement. The lawsuit, filed in February 2025, accused 3D Systems of using patented technology in its PSLA 270 industrial resin 3D printer. The filing called the PSLA 270 a “blatant knock off” of Intrepid’s DLP multi-projection “Range” 3D printer.  
    San Diego-based Intrepid Automation called this alleged infringement the “latest chapter of 3DS’s brazen, anticompetitive scheme to drive a smaller competitor with more advanced technology out of the marketplace.” The lawsuit also accused 3D Systems of corporate espionage, claiming one of its employees stole confidential trade secrets that were later used to develop the PSLA 270 printer.
    3D Systems denied the allegations and filed a motion to dismiss the case. The company called the lawsuit “a desperate attempt” by Intrepid to distract from its own alleged theft of 3D Systems’ trade secrets.
    Who won the 2024 3D Printing Industry Awards?
    Subscribe to the 3D Printing Industry newsletter to keep up with the latest 3D printing news.You can also follow us on LinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content.Featured image shows a Stratasys Fortus 450mcand a Bambu Lab X1C. Image by 3D Printing industry.
    #new #court #order #stratasys #bambu
    New Court Order in Stratasys v. Bambu Lab Lawsuit
    There has been a new update to the ongoing Stratasys v. Bambu Lab patent infringement lawsuit.  Both parties have agreed to consolidate the lead and member casesinto a single case under Case No. 2:25-cv-00465-JRG.  Industrial 3D printing OEM Stratasys filed the request late last month. According to an official court document, Shenzhen-based Bambu Lab did not oppose the motion. Stratasys argued that this non-opposition amounted to the defendants waiving their right to challenge the request under U.S. patent law 35 U.S.C. § 299. On June 2, the U.S. District Court for the Eastern District of Texas, Marshall Division, ordered Bambu Lab to confirm in writing whether it agreed to the proposed case consolidation. The court took this step out of an “abundance of caution” to ensure both parties consented to the procedure before moving forward. Bambu Lab submitted its response on June 12, agreeing to the consolidation. The company, along with co-defendants Shenzhen Tuozhu Technology Co., Ltd., Shanghai Lunkuo Technology Co., Ltd., and Tuozhu Technology Limited, waived its rights under 35 U.S.C. § 299. The court will now decide whether to merge the cases. This followed U.S. District Judge Rodney Gilstrap’s decision last month to deny Bambu Lab’s motion to dismiss the lawsuits.  The Chinese desktop 3D printer manufacturer filed the motion in February 2025, arguing the cases were invalid because its US-based subsidiary, Bambu Lab USA, was not named in the original litigation. However, it agreed that the lawsuit could continue in the Austin division of the Western District of Texas, where a parallel case was filed last year.  Judge Gilstrap denied the motion, ruling that the cases properly target the named defendants. He concluded that Bambu Lab USA isn’t essential to the dispute, and that any misnaming should be addressed in summary judgment, not dismissal.        A Stratasys Fortus 450mcand a Bambu Lab X1C. Image by 3D Printing industry. Another twist in the Stratasys v. Bambu Lab lawsuit  Stratasys filed the two lawsuits against Bambu Lab in the Eastern District of Texas, Marshall Division, in August 2024. The company claims that Bambu Lab’s X1C, X1E, P1S, P1P, A1, and A1 mini 3D printers violate ten of its patents. These patents cover common 3D printing features, including purge towers, heated build plates, tool head force detection, and networking capabilities. Stratasys has requested a jury trial. It is seeking a ruling that Bambu Lab infringed its patents, along with financial damages and an injunction to stop Bambu from selling the allegedly infringing 3D printers. Last October, Stratasys dropped charges against two of the originally named defendants in the dispute. Court documents showed that Beijing Tiertime Technology Co., Ltd. and Beijing Yinhua Laser Rapid Prototyping and Mould Technology Co., Ltd were removed. Both defendants represent the company Tiertime, China’s first 3D printer manufacturer. The District Court accepted the dismissal, with all claims dropped without prejudice. It’s unclear why Stratasys named Beijing-based Tiertime as a defendant in the first place, given the lack of an obvious connection to Bambu Lab.  Tiertime and Stratasys have a history of legal disputes over patent issues. In 2013, Stratasys sued Afinia, Tiertime’s U.S. distributor and partner, for patent infringement. Afinia responded by suing uCRobotics, the Chinese distributor of MakerBot 3D printers, also alleging patent violations. Stratasys acquired MakerBot in June 2013. The company later merged with Ultimaker in 2022. In February 2025, Bambu Lab filed a motion to dismiss the original lawsuits. The company argued that Stratasys’ claims, focused on the sale, importation, and distribution of 3D printers in the United States, do not apply to the Shenzhen-based parent company. Bambu Lab contended that the allegations concern its American subsidiary, Bambu Lab USA, which was not named in the complaint filed in the Eastern District of Texas. Bambu Lab filed a motion to dismiss, claiming the case is invalid under Federal Rule of Civil Procedure 19. It argued that any party considered a “primary participant” in the allegations must be included as a defendant.    The court denied the motion on May 29, 2025. In the ruling, Judge Gilstrap explained that Stratasys’ allegations focus on the actions of the named defendants, not Bambu Lab USA. As a result, the official court document called Bambu Lab’s argument “unavailing.” Additionally, the Judge stated that, since Bambu Lab USA and Bambu Lab are both owned by Shenzhen Tuozhu, “the interest of these two entities align,” meaning the original cases are valid.   In the official court document, Judge Gilstrap emphasized that Stratasys can win or lose the lawsuits based solely on the actions of the current defendants, regardless of Bambu Lab USA’s involvement. He added that any potential risk to Bambu Lab USA’s business is too vague or hypothetical to justify making it a required party. Finally, the court noted that even if Stratasys named the wrong defendant, this does not justify dismissal under Rule 12. Instead, the judge stated it would be more appropriate for the defendants to raise that argument in a motion for summary judgment. The Bambu Lab X1C 3D printer. Image via Bambu Lab. 3D printing patent battles  The 3D printing industry has seen its fair share of patent infringement disputes over recent months. In May 2025, 3D printer hotend developer Slice Engineering reached an agreement with Creality over a patent non-infringement lawsuit.  The Chinese 3D printer OEM filed the lawsuit in July 2024 in the U.S. District Court for the Northern District of Florida, Gainesville Division. The company claimed that Slice Engineering had falsely accused it of infringing two hotend patents, U.S. Patent Nos. 10,875,244 and 11,660,810. These cover mechanical and thermal features of Slice’s Mosquito 3D printer hotend. Creality requested a jury trial and sought a ruling confirming it had not infringed either patent. Court documents show that Slice Engineering filed a countersuit in December 2024. The Gainesville-based company maintained that Creaility “has infringed and continues to infringe” on both patents. In the filing, the company also denied allegations that it had harassed Creality’s partners, distributors, and customers, and claimed that Creality had refused to negotiate a resolution.   The Creality v. Slice Engineering lawsuit has since been dropped following a mutual resolution. Court documents show that both parties have permanently dismissed all claims and counterclaims, agreeing to cover their own legal fees and costs.  In other news, large-format resin 3D printer manufacturer Intrepid Automation sued 3D Systems over alleged patent infringement. The lawsuit, filed in February 2025, accused 3D Systems of using patented technology in its PSLA 270 industrial resin 3D printer. The filing called the PSLA 270 a “blatant knock off” of Intrepid’s DLP multi-projection “Range” 3D printer.   San Diego-based Intrepid Automation called this alleged infringement the “latest chapter of 3DS’s brazen, anticompetitive scheme to drive a smaller competitor with more advanced technology out of the marketplace.” The lawsuit also accused 3D Systems of corporate espionage, claiming one of its employees stole confidential trade secrets that were later used to develop the PSLA 270 printer. 3D Systems denied the allegations and filed a motion to dismiss the case. The company called the lawsuit “a desperate attempt” by Intrepid to distract from its own alleged theft of 3D Systems’ trade secrets. Who won the 2024 3D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletter to keep up with the latest 3D printing news.You can also follow us on LinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content.Featured image shows a Stratasys Fortus 450mcand a Bambu Lab X1C. Image by 3D Printing industry. #new #court #order #stratasys #bambu
    3DPRINTINGINDUSTRY.COM
    New Court Order in Stratasys v. Bambu Lab Lawsuit
    There has been a new update to the ongoing Stratasys v. Bambu Lab patent infringement lawsuit.  Both parties have agreed to consolidate the lead and member cases (2:24-CV-00644-JRG and 2:24-CV-00645-JRG) into a single case under Case No. 2:25-cv-00465-JRG.  Industrial 3D printing OEM Stratasys filed the request late last month. According to an official court document, Shenzhen-based Bambu Lab did not oppose the motion. Stratasys argued that this non-opposition amounted to the defendants waiving their right to challenge the request under U.S. patent law 35 U.S.C. § 299(a). On June 2, the U.S. District Court for the Eastern District of Texas, Marshall Division, ordered Bambu Lab to confirm in writing whether it agreed to the proposed case consolidation. The court took this step out of an “abundance of caution” to ensure both parties consented to the procedure before moving forward. Bambu Lab submitted its response on June 12, agreeing to the consolidation. The company, along with co-defendants Shenzhen Tuozhu Technology Co., Ltd., Shanghai Lunkuo Technology Co., Ltd., and Tuozhu Technology Limited, waived its rights under 35 U.S.C. § 299(a). The court will now decide whether to merge the cases. This followed U.S. District Judge Rodney Gilstrap’s decision last month to deny Bambu Lab’s motion to dismiss the lawsuits.  The Chinese desktop 3D printer manufacturer filed the motion in February 2025, arguing the cases were invalid because its US-based subsidiary, Bambu Lab USA, was not named in the original litigation. However, it agreed that the lawsuit could continue in the Austin division of the Western District of Texas, where a parallel case was filed last year.  Judge Gilstrap denied the motion, ruling that the cases properly target the named defendants. He concluded that Bambu Lab USA isn’t essential to the dispute, and that any misnaming should be addressed in summary judgment, not dismissal.        A Stratasys Fortus 450mc (left) and a Bambu Lab X1C (right). Image by 3D Printing industry. Another twist in the Stratasys v. Bambu Lab lawsuit  Stratasys filed the two lawsuits against Bambu Lab in the Eastern District of Texas, Marshall Division, in August 2024. The company claims that Bambu Lab’s X1C, X1E, P1S, P1P, A1, and A1 mini 3D printers violate ten of its patents. These patents cover common 3D printing features, including purge towers, heated build plates, tool head force detection, and networking capabilities. Stratasys has requested a jury trial. It is seeking a ruling that Bambu Lab infringed its patents, along with financial damages and an injunction to stop Bambu from selling the allegedly infringing 3D printers. Last October, Stratasys dropped charges against two of the originally named defendants in the dispute. Court documents showed that Beijing Tiertime Technology Co., Ltd. and Beijing Yinhua Laser Rapid Prototyping and Mould Technology Co., Ltd were removed. Both defendants represent the company Tiertime, China’s first 3D printer manufacturer. The District Court accepted the dismissal, with all claims dropped without prejudice. It’s unclear why Stratasys named Beijing-based Tiertime as a defendant in the first place, given the lack of an obvious connection to Bambu Lab.  Tiertime and Stratasys have a history of legal disputes over patent issues. In 2013, Stratasys sued Afinia, Tiertime’s U.S. distributor and partner, for patent infringement. Afinia responded by suing uCRobotics, the Chinese distributor of MakerBot 3D printers, also alleging patent violations. Stratasys acquired MakerBot in June 2013. The company later merged with Ultimaker in 2022. In February 2025, Bambu Lab filed a motion to dismiss the original lawsuits. The company argued that Stratasys’ claims, focused on the sale, importation, and distribution of 3D printers in the United States, do not apply to the Shenzhen-based parent company. Bambu Lab contended that the allegations concern its American subsidiary, Bambu Lab USA, which was not named in the complaint filed in the Eastern District of Texas. Bambu Lab filed a motion to dismiss, claiming the case is invalid under Federal Rule of Civil Procedure 19. It argued that any party considered a “primary participant” in the allegations must be included as a defendant.    The court denied the motion on May 29, 2025. In the ruling, Judge Gilstrap explained that Stratasys’ allegations focus on the actions of the named defendants, not Bambu Lab USA. As a result, the official court document called Bambu Lab’s argument “unavailing.” Additionally, the Judge stated that, since Bambu Lab USA and Bambu Lab are both owned by Shenzhen Tuozhu, “the interest of these two entities align,” meaning the original cases are valid.   In the official court document, Judge Gilstrap emphasized that Stratasys can win or lose the lawsuits based solely on the actions of the current defendants, regardless of Bambu Lab USA’s involvement. He added that any potential risk to Bambu Lab USA’s business is too vague or hypothetical to justify making it a required party. Finally, the court noted that even if Stratasys named the wrong defendant, this does not justify dismissal under Rule 12(b)(7). Instead, the judge stated it would be more appropriate for the defendants to raise that argument in a motion for summary judgment. The Bambu Lab X1C 3D printer. Image via Bambu Lab. 3D printing patent battles  The 3D printing industry has seen its fair share of patent infringement disputes over recent months. In May 2025, 3D printer hotend developer Slice Engineering reached an agreement with Creality over a patent non-infringement lawsuit.  The Chinese 3D printer OEM filed the lawsuit in July 2024 in the U.S. District Court for the Northern District of Florida, Gainesville Division. The company claimed that Slice Engineering had falsely accused it of infringing two hotend patents, U.S. Patent Nos. 10,875,244 and 11,660,810. These cover mechanical and thermal features of Slice’s Mosquito 3D printer hotend. Creality requested a jury trial and sought a ruling confirming it had not infringed either patent. Court documents show that Slice Engineering filed a countersuit in December 2024. The Gainesville-based company maintained that Creaility “has infringed and continues to infringe” on both patents. In the filing, the company also denied allegations that it had harassed Creality’s partners, distributors, and customers, and claimed that Creality had refused to negotiate a resolution.   The Creality v. Slice Engineering lawsuit has since been dropped following a mutual resolution. Court documents show that both parties have permanently dismissed all claims and counterclaims, agreeing to cover their own legal fees and costs.  In other news, large-format resin 3D printer manufacturer Intrepid Automation sued 3D Systems over alleged patent infringement. The lawsuit, filed in February 2025, accused 3D Systems of using patented technology in its PSLA 270 industrial resin 3D printer. The filing called the PSLA 270 a “blatant knock off” of Intrepid’s DLP multi-projection “Range” 3D printer.   San Diego-based Intrepid Automation called this alleged infringement the “latest chapter of 3DS’s brazen, anticompetitive scheme to drive a smaller competitor with more advanced technology out of the marketplace.” The lawsuit also accused 3D Systems of corporate espionage, claiming one of its employees stole confidential trade secrets that were later used to develop the PSLA 270 printer. 3D Systems denied the allegations and filed a motion to dismiss the case. The company called the lawsuit “a desperate attempt” by Intrepid to distract from its own alleged theft of 3D Systems’ trade secrets. Who won the 2024 3D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletter to keep up with the latest 3D printing news.You can also follow us on LinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content.Featured image shows a Stratasys Fortus 450mc (left) and a Bambu Lab X1C (right). Image by 3D Printing industry.
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  • Scientists Detect Unusual Airborne Toxin in the United States for the First Time

    Researchers unexpectedly discovered toxic airborne pollutants in Oklahoma. The image above depicts a field in Oklahoma. Credit: Shutterstock
    University of Colorado Boulder researchers made the first-ever airborne detection of Medium Chain Chlorinated Paraffinsin the Western Hemisphere.
    Sometimes, scientific research feels a lot like solving a mystery. Scientists head into the field with a clear goal and a solid hypothesis, but then the data reveals something surprising. That’s when the real detective work begins.
    This is exactly what happened to a team from the University of Colorado Boulder during a recent field study in rural Oklahoma. They were using a state-of-the-art instrument to track how tiny particles form and grow in the air. But instead of just collecting expected data, they uncovered something completely new: the first-ever airborne detection of Medium Chain Chlorinated Paraffins, a kind of toxic organic pollutant, in the Western Hemisphere. The teams findings were published in ACS Environmental Au.
    “It’s very exciting as a scientist to find something unexpected like this that we weren’t looking for,” said Daniel Katz, CU Boulder chemistry PhD student and lead author of the study. “We’re starting to learn more about this toxic, organic pollutant that we know is out there, and which we need to understand better.”
    MCCPs are currently under consideration for regulation by the Stockholm Convention, a global treaty to protect human health from long-standing and widespread chemicals. While the toxic pollutants have been measured in Antarctica and Asia, researchers haven’t been sure how to document them in the Western Hemisphere’s atmosphere until now.
    From Wastewater to Farmlands
    MCCPs are used in fluids for metal working and in the construction of PVC and textiles. They are often found in wastewater and as a result, can end up in biosolid fertilizer, also called sewage sludge, which is created when liquid is removed from wastewater in a treatment plant. In Oklahoma, researchers suspect the MCCPs they identified came from biosolid fertilizer in the fields near where they set up their instrument.
    “When sewage sludges are spread across the fields, those toxic compounds could be released into the air,” Katz said. “We can’t show directly that that’s happening, but we think it’s a reasonable way that they could be winding up in the air. Sewage sludge fertilizers have been shown to release similar compounds.”
    MCCPs little cousins, Short Chain Chlorinated Paraffins, are currently regulated by the Stockholm Convention, and since 2009, by the EPA here in the United States. Regulation came after studies found the toxic pollutants, which travel far and last a long time in the atmosphere, were harmful to human health. But researchers hypothesize that the regulation of SCCPs may have increased MCCPs in the environment.
    “We always have these unintended consequences of regulation, where you regulate something, and then there’s still a need for the products that those were in,” said Ellie Browne, CU Boulder chemistry professor, CIRES Fellow, and co-author of the study. “So they get replaced by something.”
    Measurement of aerosols led to a new and surprising discovery
    Using a nitrate chemical ionization mass spectrometer, which allows scientists to identify chemical compounds in the air, the team measured air at the agricultural site 24 hours a day for one month. As Katz cataloged the data, he documented the different isotopic patterns in the compounds. The compounds measured by the team had distinct patterns, and he noticed new patterns that he immediately identified as different from the known chemical compounds. With some additional research, he identified them as chlorinated paraffins found in MCCPs.
    Katz says the makeup of MCCPs are similar to PFAS, long-lasting toxic chemicals that break down slowly over time. Known as “forever chemicals,” their presence in soils recently led the Oklahoma Senate to ban biosolid fertilizer.
    Now that researchers know how to measure MCCPs, the next step might be to measure the pollutants at different times throughout the year to understand how levels change each season. Many unknowns surrounding MCCPs remain, and there’s much more to learn about their environmental impacts.
    “We identified them, but we still don’t know exactly what they do when they are in the atmosphere, and they need to be investigated further,” Katz said. “I think it’s important that we continue to have governmental agencies that are capable of evaluating the science and regulating these chemicals as necessary for public health and safety.”
    Reference: “Real-Time Measurements of Gas-Phase Medium-Chain Chlorinated Paraffins Reveal Daily Changes in Gas-Particle Partitioning Controlled by Ambient Temperature” by Daniel John Katz, Bri Dobson, Mitchell Alton, Harald Stark, Douglas R. Worsnop, Manjula R. Canagaratna and Eleanor C. Browne, 5 June 2025, ACS Environmental Au.
    DOI: 10.1021/acsenvironau.5c00038
    Never miss a breakthrough: Join the SciTechDaily newsletter.
    #scientists #detect #unusual #airborne #toxin
    Scientists Detect Unusual Airborne Toxin in the United States for the First Time
    Researchers unexpectedly discovered toxic airborne pollutants in Oklahoma. The image above depicts a field in Oklahoma. Credit: Shutterstock University of Colorado Boulder researchers made the first-ever airborne detection of Medium Chain Chlorinated Paraffinsin the Western Hemisphere. Sometimes, scientific research feels a lot like solving a mystery. Scientists head into the field with a clear goal and a solid hypothesis, but then the data reveals something surprising. That’s when the real detective work begins. This is exactly what happened to a team from the University of Colorado Boulder during a recent field study in rural Oklahoma. They were using a state-of-the-art instrument to track how tiny particles form and grow in the air. But instead of just collecting expected data, they uncovered something completely new: the first-ever airborne detection of Medium Chain Chlorinated Paraffins, a kind of toxic organic pollutant, in the Western Hemisphere. The teams findings were published in ACS Environmental Au. “It’s very exciting as a scientist to find something unexpected like this that we weren’t looking for,” said Daniel Katz, CU Boulder chemistry PhD student and lead author of the study. “We’re starting to learn more about this toxic, organic pollutant that we know is out there, and which we need to understand better.” MCCPs are currently under consideration for regulation by the Stockholm Convention, a global treaty to protect human health from long-standing and widespread chemicals. While the toxic pollutants have been measured in Antarctica and Asia, researchers haven’t been sure how to document them in the Western Hemisphere’s atmosphere until now. From Wastewater to Farmlands MCCPs are used in fluids for metal working and in the construction of PVC and textiles. They are often found in wastewater and as a result, can end up in biosolid fertilizer, also called sewage sludge, which is created when liquid is removed from wastewater in a treatment plant. In Oklahoma, researchers suspect the MCCPs they identified came from biosolid fertilizer in the fields near where they set up their instrument. “When sewage sludges are spread across the fields, those toxic compounds could be released into the air,” Katz said. “We can’t show directly that that’s happening, but we think it’s a reasonable way that they could be winding up in the air. Sewage sludge fertilizers have been shown to release similar compounds.” MCCPs little cousins, Short Chain Chlorinated Paraffins, are currently regulated by the Stockholm Convention, and since 2009, by the EPA here in the United States. Regulation came after studies found the toxic pollutants, which travel far and last a long time in the atmosphere, were harmful to human health. But researchers hypothesize that the regulation of SCCPs may have increased MCCPs in the environment. “We always have these unintended consequences of regulation, where you regulate something, and then there’s still a need for the products that those were in,” said Ellie Browne, CU Boulder chemistry professor, CIRES Fellow, and co-author of the study. “So they get replaced by something.” Measurement of aerosols led to a new and surprising discovery Using a nitrate chemical ionization mass spectrometer, which allows scientists to identify chemical compounds in the air, the team measured air at the agricultural site 24 hours a day for one month. As Katz cataloged the data, he documented the different isotopic patterns in the compounds. The compounds measured by the team had distinct patterns, and he noticed new patterns that he immediately identified as different from the known chemical compounds. With some additional research, he identified them as chlorinated paraffins found in MCCPs. Katz says the makeup of MCCPs are similar to PFAS, long-lasting toxic chemicals that break down slowly over time. Known as “forever chemicals,” their presence in soils recently led the Oklahoma Senate to ban biosolid fertilizer. Now that researchers know how to measure MCCPs, the next step might be to measure the pollutants at different times throughout the year to understand how levels change each season. Many unknowns surrounding MCCPs remain, and there’s much more to learn about their environmental impacts. “We identified them, but we still don’t know exactly what they do when they are in the atmosphere, and they need to be investigated further,” Katz said. “I think it’s important that we continue to have governmental agencies that are capable of evaluating the science and regulating these chemicals as necessary for public health and safety.” Reference: “Real-Time Measurements of Gas-Phase Medium-Chain Chlorinated Paraffins Reveal Daily Changes in Gas-Particle Partitioning Controlled by Ambient Temperature” by Daniel John Katz, Bri Dobson, Mitchell Alton, Harald Stark, Douglas R. Worsnop, Manjula R. Canagaratna and Eleanor C. Browne, 5 June 2025, ACS Environmental Au. DOI: 10.1021/acsenvironau.5c00038 Never miss a breakthrough: Join the SciTechDaily newsletter. #scientists #detect #unusual #airborne #toxin
    SCITECHDAILY.COM
    Scientists Detect Unusual Airborne Toxin in the United States for the First Time
    Researchers unexpectedly discovered toxic airborne pollutants in Oklahoma. The image above depicts a field in Oklahoma. Credit: Shutterstock University of Colorado Boulder researchers made the first-ever airborne detection of Medium Chain Chlorinated Paraffins (MCCPs) in the Western Hemisphere. Sometimes, scientific research feels a lot like solving a mystery. Scientists head into the field with a clear goal and a solid hypothesis, but then the data reveals something surprising. That’s when the real detective work begins. This is exactly what happened to a team from the University of Colorado Boulder during a recent field study in rural Oklahoma. They were using a state-of-the-art instrument to track how tiny particles form and grow in the air. But instead of just collecting expected data, they uncovered something completely new: the first-ever airborne detection of Medium Chain Chlorinated Paraffins (MCCPs), a kind of toxic organic pollutant, in the Western Hemisphere. The teams findings were published in ACS Environmental Au. “It’s very exciting as a scientist to find something unexpected like this that we weren’t looking for,” said Daniel Katz, CU Boulder chemistry PhD student and lead author of the study. “We’re starting to learn more about this toxic, organic pollutant that we know is out there, and which we need to understand better.” MCCPs are currently under consideration for regulation by the Stockholm Convention, a global treaty to protect human health from long-standing and widespread chemicals. While the toxic pollutants have been measured in Antarctica and Asia, researchers haven’t been sure how to document them in the Western Hemisphere’s atmosphere until now. From Wastewater to Farmlands MCCPs are used in fluids for metal working and in the construction of PVC and textiles. They are often found in wastewater and as a result, can end up in biosolid fertilizer, also called sewage sludge, which is created when liquid is removed from wastewater in a treatment plant. In Oklahoma, researchers suspect the MCCPs they identified came from biosolid fertilizer in the fields near where they set up their instrument. “When sewage sludges are spread across the fields, those toxic compounds could be released into the air,” Katz said. “We can’t show directly that that’s happening, but we think it’s a reasonable way that they could be winding up in the air. Sewage sludge fertilizers have been shown to release similar compounds.” MCCPs little cousins, Short Chain Chlorinated Paraffins (SCCPs), are currently regulated by the Stockholm Convention, and since 2009, by the EPA here in the United States. Regulation came after studies found the toxic pollutants, which travel far and last a long time in the atmosphere, were harmful to human health. But researchers hypothesize that the regulation of SCCPs may have increased MCCPs in the environment. “We always have these unintended consequences of regulation, where you regulate something, and then there’s still a need for the products that those were in,” said Ellie Browne, CU Boulder chemistry professor, CIRES Fellow, and co-author of the study. “So they get replaced by something.” Measurement of aerosols led to a new and surprising discovery Using a nitrate chemical ionization mass spectrometer, which allows scientists to identify chemical compounds in the air, the team measured air at the agricultural site 24 hours a day for one month. As Katz cataloged the data, he documented the different isotopic patterns in the compounds. The compounds measured by the team had distinct patterns, and he noticed new patterns that he immediately identified as different from the known chemical compounds. With some additional research, he identified them as chlorinated paraffins found in MCCPs. Katz says the makeup of MCCPs are similar to PFAS, long-lasting toxic chemicals that break down slowly over time. Known as “forever chemicals,” their presence in soils recently led the Oklahoma Senate to ban biosolid fertilizer. Now that researchers know how to measure MCCPs, the next step might be to measure the pollutants at different times throughout the year to understand how levels change each season. Many unknowns surrounding MCCPs remain, and there’s much more to learn about their environmental impacts. “We identified them, but we still don’t know exactly what they do when they are in the atmosphere, and they need to be investigated further,” Katz said. “I think it’s important that we continue to have governmental agencies that are capable of evaluating the science and regulating these chemicals as necessary for public health and safety.” Reference: “Real-Time Measurements of Gas-Phase Medium-Chain Chlorinated Paraffins Reveal Daily Changes in Gas-Particle Partitioning Controlled by Ambient Temperature” by Daniel John Katz, Bri Dobson, Mitchell Alton, Harald Stark, Douglas R. Worsnop, Manjula R. Canagaratna and Eleanor C. Browne, 5 June 2025, ACS Environmental Au. DOI: 10.1021/acsenvironau.5c00038 Never miss a breakthrough: Join the SciTechDaily newsletter.
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  • PlayStation finally removes regional restrictions from Helldivers 2 and more after infuriating gamers everywhere 

    You can trust VideoGamer. Our team of gaming experts spend hours testing and reviewing the latest games, to ensure you're reading the most comprehensive guide possible. Rest assured, all imagery and advice is unique and original. Check out how we test and review games here

    PlayStation’s annoying regional restrictions on PC games have proved infuriating for gamers all across the world. While most gamers were unaffected, those in some regions found themselves unable to play games like Helldivers 2 and other titles due to the restrictions. 
    Thankfully, after months of complaints, it appears that PlayStation is finally removing the regional restrictions of its PC releases for a large number of countries. However, not every title has been altered at the time of writing. 
    Regional restrictions removed from Helldivers 2 and more 
    As spotted by players online, a number of Steam database updates have changed the regional restrictions of PlayStation games on PC. 
    Games such as Helldivers 2, Spider-Man 2, God of War: Ragnarok and The Last of Us: Part 2 are now available to purchase in a large number of additional countries. The change appears to be rolling out to PlayStation PC releases at the time of writing.
    It’s been a long time coming, and the introduction of the restrictions last year was a huge controversy for the company. Since the restrictions were put in place, players who previously purchased Helldivers 2 were unable to play the title online without a VPN. 
    Additionally, Ghost of Tsushima could be played in a number of countries, but its Legends multiplayer mode was inaccessible due to the regional issues. 
    Honestly, PlayStation should’ve removed these restrictions far quicker than they initially did. However, the phrase “better late than never” exists for a reason, and we’re happy that more gamers around the world are no longer punished for simply being born in a different country. 
    For more PlayStation news, read the company’s recent comments about the next generation PlayStation 6 console. Additionally, read about potential PS Plus price increases that could be on the way as the company aims to “maximise profitability”. 

    Helldivers 2

    Platform:
    PC, PlayStation 5

    Genre:
    Action, Shooter, Third Person

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    #playstation #finally #removes #regional #restrictions
    PlayStation finally removes regional restrictions from Helldivers 2 and more after infuriating gamers everywhere 
    You can trust VideoGamer. Our team of gaming experts spend hours testing and reviewing the latest games, to ensure you're reading the most comprehensive guide possible. Rest assured, all imagery and advice is unique and original. Check out how we test and review games here PlayStation’s annoying regional restrictions on PC games have proved infuriating for gamers all across the world. While most gamers were unaffected, those in some regions found themselves unable to play games like Helldivers 2 and other titles due to the restrictions.  Thankfully, after months of complaints, it appears that PlayStation is finally removing the regional restrictions of its PC releases for a large number of countries. However, not every title has been altered at the time of writing.  Regional restrictions removed from Helldivers 2 and more  As spotted by players online, a number of Steam database updates have changed the regional restrictions of PlayStation games on PC.  Games such as Helldivers 2, Spider-Man 2, God of War: Ragnarok and The Last of Us: Part 2 are now available to purchase in a large number of additional countries. The change appears to be rolling out to PlayStation PC releases at the time of writing. It’s been a long time coming, and the introduction of the restrictions last year was a huge controversy for the company. Since the restrictions were put in place, players who previously purchased Helldivers 2 were unable to play the title online without a VPN.  Additionally, Ghost of Tsushima could be played in a number of countries, but its Legends multiplayer mode was inaccessible due to the regional issues.  Honestly, PlayStation should’ve removed these restrictions far quicker than they initially did. However, the phrase “better late than never” exists for a reason, and we’re happy that more gamers around the world are no longer punished for simply being born in a different country.  For more PlayStation news, read the company’s recent comments about the next generation PlayStation 6 console. Additionally, read about potential PS Plus price increases that could be on the way as the company aims to “maximise profitability”.  Helldivers 2 Platform: PC, PlayStation 5 Genre: Action, Shooter, Third Person 8 VideoGamer Subscribe to our newsletters! By subscribing, you agree to our Privacy Policy and may receive occasional deal communications; you can unsubscribe anytime. Share #playstation #finally #removes #regional #restrictions
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    PlayStation finally removes regional restrictions from Helldivers 2 and more after infuriating gamers everywhere 
    You can trust VideoGamer. Our team of gaming experts spend hours testing and reviewing the latest games, to ensure you're reading the most comprehensive guide possible. Rest assured, all imagery and advice is unique and original. Check out how we test and review games here PlayStation’s annoying regional restrictions on PC games have proved infuriating for gamers all across the world. While most gamers were unaffected, those in some regions found themselves unable to play games like Helldivers 2 and other titles due to the restrictions.  Thankfully, after months of complaints, it appears that PlayStation is finally removing the regional restrictions of its PC releases for a large number of countries. However, not every title has been altered at the time of writing.  Regional restrictions removed from Helldivers 2 and more  As spotted by players online (thanks, Wario64), a number of Steam database updates have changed the regional restrictions of PlayStation games on PC.  Games such as Helldivers 2, Spider-Man 2, God of War: Ragnarok and The Last of Us: Part 2 are now available to purchase in a large number of additional countries. The change appears to be rolling out to PlayStation PC releases at the time of writing. It’s been a long time coming, and the introduction of the restrictions last year was a huge controversy for the company. Since the restrictions were put in place, players who previously purchased Helldivers 2 were unable to play the title online without a VPN.  Additionally, Ghost of Tsushima could be played in a number of countries, but its Legends multiplayer mode was inaccessible due to the regional issues.  Honestly, PlayStation should’ve removed these restrictions far quicker than they initially did. However, the phrase “better late than never” exists for a reason, and we’re happy that more gamers around the world are no longer punished for simply being born in a different country.  For more PlayStation news, read the company’s recent comments about the next generation PlayStation 6 console. Additionally, read about potential PS Plus price increases that could be on the way as the company aims to “maximise profitability”.  Helldivers 2 Platform(s): PC, PlayStation 5 Genre(s): Action, Shooter, Third Person 8 VideoGamer Subscribe to our newsletters! By subscribing, you agree to our Privacy Policy and may receive occasional deal communications; you can unsubscribe anytime. Share
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  • Why Designers Get Stuck In The Details And How To Stop

    You’ve drawn fifty versions of the same screen — and you still hate every one of them. Begrudgingly, you pick three, show them to your product manager, and hear: “Looks cool, but the idea doesn’t work.” Sound familiar?
    In this article, I’ll unpack why designers fall into detail work at the wrong moment, examining both process pitfalls and the underlying psychological reasons, as understanding these traps is the first step to overcoming them. I’ll also share tactics I use to climb out of that trap.
    Reason #1 You’re Afraid To Show Rough Work
    We designers worship detail. We’re taught that true craft equals razor‑sharp typography, perfect grids, and pixel precision. So the minute a task arrives, we pop open Figma and start polishing long before polish is needed.
    I’ve skipped the sketch phase more times than I care to admit. I told myself it would be faster, yet I always ended up spending hours producing a tidy mock‑up when a scribbled thumbnail would have sparked a five‑minute chat with my product manager. Rough sketches felt “unprofessional,” so I hid them.
    The cost? Lost time, wasted energy — and, by the third redo, teammates were quietly wondering if I even understood the brief.
    The real problem here is the habit: we open Figma and start perfecting the UI before we’ve even solved the problem.
    So why do we hide these rough sketches? It’s not just a bad habit or plain silly. There are solid psychological reasons behind it. We often just call it perfectionism, but it’s deeper than wanting things neat. Digging into the psychologyshows there are a couple of flavors driving this:

    Socially prescribed perfectionismIt’s that nagging feeling that everyone else expects perfect work from you, which makes showing anything rough feel like walking into the lion’s den.
    Self-oriented perfectionismWhere you’re the one setting impossibly high standards for yourself, leading to brutal self-criticism if anything looks slightly off.

    Either way, the result’s the same: showing unfinished work feels wrong, and you miss out on that vital early feedback.
    Back to the design side, remember that clients rarely see architects’ first pencil sketches, but these sketches still exist; they guide structural choices before the 3D render. Treat your thumbnails the same way — artifacts meant to collapse uncertainty, not portfolio pieces. Once stakeholders see the upside, roughness becomes a badge of speed, not sloppiness. So, the key is to consciously make that shift:
    Treat early sketches as disposable tools for thinking and actively share them to get feedback faster.

    Reason #2: You Fix The Symptom, Not The Cause
    Before tackling any task, we need to understand what business outcome we’re aiming for. Product managers might come to us asking to enlarge the payment button in the shopping cart because users aren’t noticing it. The suggested solution itself isn’t necessarily bad, but before redesigning the button, we should ask, “What data suggests they aren’t noticing it?” Don’t get me wrong, I’m not saying you shouldn’t trust your product manager. On the contrary, these questions help ensure you’re on the same page and working with the same data.
    From my experience, here are several reasons why users might not be clicking that coveted button:

    Users don’t understand that this step is for payment.
    They understand it’s about payment but expect order confirmation first.
    Due to incorrect translation, users don’t understand what the button means.
    Lack of trust signals.
    Unexpected additional coststhat appear at this stage.
    Technical issues.

    Now, imagine you simply did what the manager suggested. Would you have solved the problem? Hardly.
    Moreover, the responsibility for the unresolved issue would fall on you, as the interface solution lies within the design domain. The product manager actually did their job correctly by identifying a problem: suspiciously, few users are clicking the button.
    Psychologically, taking on this bigger role isn’t easy. It means overcoming the fear of making mistakes and the discomfort of exploring unclear problems rather than just doing tasks. This shift means seeing ourselves as partners who create value — even if it means fighting a hesitation to question product managers— and understanding that using our product logic expertise proactively is crucial for modern designers.
    There’s another critical reason why we, designers, need to be a bit like product managers: the rise of AI. I deliberately used a simple example about enlarging a button, but I’m confident that in the near future, AI will easily handle routine design tasks. This worries me, but at the same time, I’m already gladly stepping into the product manager’s territory: understanding product and business metrics, formulating hypotheses, conducting research, and so on. It might sound like I’m taking work away from PMs, but believe me, they undoubtedly have enough on their plates and are usually more than happy to delegate some responsibilities to designers.
    Reason #3: You’re Solving The Wrong Problem
    Before solving anything, ask whether the problem even deserves your attention.
    During a major home‑screen redesign, our goal was to drive more users into paid services. The initial hypothesis — making service buttons bigger and brighter might help returning users — seemed reasonable enough to test. However, even when A/B testsshowed minimal impact, we continued to tweak those buttons.
    Only later did it click: the home screen isn’t the place to sell; visitors open the app to start, not to buy. We removed that promo block, and nothing broke. Contextual entry points deeper into the journey performed brilliantly. Lesson learned:
    Without the right context, any visual tweak is lipstick on a pig.

    Why did we get stuck polishing buttons instead of stopping sooner? It’s easy to get tunnel vision. Psychologically, it’s likely the good old sunk cost fallacy kicking in: we’d already invested time in the buttons, so stopping felt like wasting that effort, even though the data wasn’t promising.
    It’s just easier to keep fiddling with something familiar than to admit we need a new plan. Perhaps the simple question I should have asked myself when results stalled was: “Are we optimizing the right thing or just polishing something that fundamentally doesn’t fit the user’s primary goal here?” That alone might have saved hours.
    Reason #4: You’re Drowning In Unactionable Feedback
    We all discuss our work with colleagues. But here’s a crucial point: what kind of question do you pose to kick off that discussion? If your go-to is “What do you think?” well, that question might lead you down a rabbit hole of personal opinions rather than actionable insights. While experienced colleagues will cut through the noise, others, unsure what to evaluate, might comment on anything and everything — fonts, button colors, even when you desperately need to discuss a user flow.
    What matters here are two things:

    The question you ask,
    The context you give.

    That means clearly stating the problem, what you’ve learned, and how your idea aims to fix it.
    For instance:
    “The problem is our payment conversion rate has dropped by X%. I’ve interviewed users and found they abandon payment because they don’t understand how the total amount is calculated. My solution is to show a detailed cost breakdown. Do you think this actually solves the problem for them?”

    Here, you’ve stated the problem, shared your insight, explained your solution, and asked a direct question. It’s even better if you prepare a list of specific sub-questions. For instance: “Are all items in the cost breakdown clear?” or “Does the placement of this breakdown feel intuitive within the payment flow?”
    Another good habit is to keep your rough sketches and previous iterations handy. Some of your colleagues’ suggestions might be things you’ve already tried. It’s great if you can discuss them immediately to either revisit those ideas or definitively set them aside.
    I’m not a psychologist, but experience tells me that, psychologically, the reluctance to be this specific often stems from a fear of our solution being rejected. We tend to internalize feedback: a seemingly innocent comment like, “Have you considered other ways to organize this section?” or “Perhaps explore a different structure for this part?” can instantly morph in our minds into “You completely messed up the structure. You’re a bad designer.” Imposter syndrome, in all its glory.
    So, to wrap up this point, here are two recommendations:

    Prepare for every design discussion.A couple of focused questions will yield far more valuable input than a vague “So, what do you think?”.
    Actively work on separating feedback on your design from your self-worth.If a mistake is pointed out, acknowledge it, learn from it, and you’ll be less likely to repeat it. This is often easier said than done. For me, it took years of working with a psychotherapist. If you struggle with this, I sincerely wish you strength in overcoming it.

    Reason #5 You’re Just Tired
    Sometimes, the issue isn’t strategic at all — it’s fatigue. Fussing over icon corners can feel like a cozy bunker when your brain is fried. There’s a name for this: decision fatigue. Basically, your brain’s battery for hard thinking is low, so it hides out in the easy, comfy zone of pixel-pushing.
    A striking example comes from a New York Times article titled “Do You Suffer From Decision Fatigue?.” It described how judges deciding on release requests were far more likely to grant release early in the daycompared to late in the daysimply because their decision-making energy was depleted. Luckily, designers rarely hold someone’s freedom in their hands, but the example dramatically shows how fatigue can impact our judgment and productivity.
    What helps here:

    Swap tasks.Trade tickets with another designer; novelty resets your focus.
    Talk to another designer.If NDA permits, ask peers outside the team for a sanity check.
    Step away.Even a ten‑minute walk can do more than a double‑shot espresso.

    By the way, I came up with these ideas while walking around my office. I was lucky to work near a river, and those short walks quickly turned into a helpful habit.

    And one more trick that helps me snap out of detail mode early: if I catch myself making around 20 little tweaks — changing font weight, color, border radius — I just stop. Over time, it turned into a habit. I have a similar one with Instagram: by the third reel, my brain quietly asks, “Wait, weren’t we working?” Funny how that kind of nudge saves a ton of time.
    Four Steps I Use to Avoid Drowning In Detail
    Knowing these potential traps, here’s the practical process I use to stay on track:
    1. Define the Core Problem & Business Goal
    Before anything, dig deep: what’s the actual problem we’re solving, not just the requested task or a surface-level symptom? Ask ‘why’ repeatedly. What user pain or business need are we addressing? Then, state the clear business goal: “What metric am I moving, and do we have data to prove this is the right lever?” If retention is the goal, decide whether push reminders, gamification, or personalised content is the best route. The wrong lever, or tackling a symptom instead of the cause, dooms everything downstream.
    2. Choose the MechanicOnce the core problem and goal are clear, lock the solution principle or ‘mechanic’ first. Going with a game layer? Decide if it’s leaderboards, streaks, or badges. Write it down. Then move on. No UI yet. This keeps the focus high-level before diving into pixels.
    3. Wireframe the Flow & Get Focused Feedback
    Now open Figma. Map screens, layout, and transitions. Boxes and arrows are enough. Keep the fidelity low so the discussion stays on the flow, not colour. Crucially, when you share these early wires, ask specific questions and provide clear contextto get actionable feedback, not just vague opinions.
    4. Polish the VisualsI only let myself tweak grids, type scales, and shadows after the flow is validated. If progress stalls, or before a major polish effort, I surface the work in a design critique — again using targeted questions and clear context — instead of hiding in version 47. This ensures detailing serves the now-validated solution.
    Even for something as small as a single button, running these four checkpoints takes about ten minutes and saves hours of decorative dithering.
    Wrapping Up
    Next time you feel the pull to vanish into mock‑ups before the problem is nailed down, pause and ask what you might be avoiding. Yes, that can expose an uncomfortable truth. But pausing to ask what you might be avoiding — maybe the fuzzy core problem, or just asking for tough feedback — gives you the power to face the real issue head-on. It keeps the project focused on solving the right problem, not just perfecting a flawed solution.
    Attention to detail is a superpower when used at the right moment. Obsessing over pixels too soon, though, is a bad habit and a warning light telling us the process needs a rethink.
    #why #designers #get #stuck #details
    Why Designers Get Stuck In The Details And How To Stop
    You’ve drawn fifty versions of the same screen — and you still hate every one of them. Begrudgingly, you pick three, show them to your product manager, and hear: “Looks cool, but the idea doesn’t work.” Sound familiar? In this article, I’ll unpack why designers fall into detail work at the wrong moment, examining both process pitfalls and the underlying psychological reasons, as understanding these traps is the first step to overcoming them. I’ll also share tactics I use to climb out of that trap. Reason #1 You’re Afraid To Show Rough Work We designers worship detail. We’re taught that true craft equals razor‑sharp typography, perfect grids, and pixel precision. So the minute a task arrives, we pop open Figma and start polishing long before polish is needed. I’ve skipped the sketch phase more times than I care to admit. I told myself it would be faster, yet I always ended up spending hours producing a tidy mock‑up when a scribbled thumbnail would have sparked a five‑minute chat with my product manager. Rough sketches felt “unprofessional,” so I hid them. The cost? Lost time, wasted energy — and, by the third redo, teammates were quietly wondering if I even understood the brief. The real problem here is the habit: we open Figma and start perfecting the UI before we’ve even solved the problem. So why do we hide these rough sketches? It’s not just a bad habit or plain silly. There are solid psychological reasons behind it. We often just call it perfectionism, but it’s deeper than wanting things neat. Digging into the psychologyshows there are a couple of flavors driving this: Socially prescribed perfectionismIt’s that nagging feeling that everyone else expects perfect work from you, which makes showing anything rough feel like walking into the lion’s den. Self-oriented perfectionismWhere you’re the one setting impossibly high standards for yourself, leading to brutal self-criticism if anything looks slightly off. Either way, the result’s the same: showing unfinished work feels wrong, and you miss out on that vital early feedback. Back to the design side, remember that clients rarely see architects’ first pencil sketches, but these sketches still exist; they guide structural choices before the 3D render. Treat your thumbnails the same way — artifacts meant to collapse uncertainty, not portfolio pieces. Once stakeholders see the upside, roughness becomes a badge of speed, not sloppiness. So, the key is to consciously make that shift: Treat early sketches as disposable tools for thinking and actively share them to get feedback faster. Reason #2: You Fix The Symptom, Not The Cause Before tackling any task, we need to understand what business outcome we’re aiming for. Product managers might come to us asking to enlarge the payment button in the shopping cart because users aren’t noticing it. The suggested solution itself isn’t necessarily bad, but before redesigning the button, we should ask, “What data suggests they aren’t noticing it?” Don’t get me wrong, I’m not saying you shouldn’t trust your product manager. On the contrary, these questions help ensure you’re on the same page and working with the same data. From my experience, here are several reasons why users might not be clicking that coveted button: Users don’t understand that this step is for payment. They understand it’s about payment but expect order confirmation first. Due to incorrect translation, users don’t understand what the button means. Lack of trust signals. Unexpected additional coststhat appear at this stage. Technical issues. Now, imagine you simply did what the manager suggested. Would you have solved the problem? Hardly. Moreover, the responsibility for the unresolved issue would fall on you, as the interface solution lies within the design domain. The product manager actually did their job correctly by identifying a problem: suspiciously, few users are clicking the button. Psychologically, taking on this bigger role isn’t easy. It means overcoming the fear of making mistakes and the discomfort of exploring unclear problems rather than just doing tasks. This shift means seeing ourselves as partners who create value — even if it means fighting a hesitation to question product managers— and understanding that using our product logic expertise proactively is crucial for modern designers. There’s another critical reason why we, designers, need to be a bit like product managers: the rise of AI. I deliberately used a simple example about enlarging a button, but I’m confident that in the near future, AI will easily handle routine design tasks. This worries me, but at the same time, I’m already gladly stepping into the product manager’s territory: understanding product and business metrics, formulating hypotheses, conducting research, and so on. It might sound like I’m taking work away from PMs, but believe me, they undoubtedly have enough on their plates and are usually more than happy to delegate some responsibilities to designers. Reason #3: You’re Solving The Wrong Problem Before solving anything, ask whether the problem even deserves your attention. During a major home‑screen redesign, our goal was to drive more users into paid services. The initial hypothesis — making service buttons bigger and brighter might help returning users — seemed reasonable enough to test. However, even when A/B testsshowed minimal impact, we continued to tweak those buttons. Only later did it click: the home screen isn’t the place to sell; visitors open the app to start, not to buy. We removed that promo block, and nothing broke. Contextual entry points deeper into the journey performed brilliantly. Lesson learned: Without the right context, any visual tweak is lipstick on a pig. Why did we get stuck polishing buttons instead of stopping sooner? It’s easy to get tunnel vision. Psychologically, it’s likely the good old sunk cost fallacy kicking in: we’d already invested time in the buttons, so stopping felt like wasting that effort, even though the data wasn’t promising. It’s just easier to keep fiddling with something familiar than to admit we need a new plan. Perhaps the simple question I should have asked myself when results stalled was: “Are we optimizing the right thing or just polishing something that fundamentally doesn’t fit the user’s primary goal here?” That alone might have saved hours. Reason #4: You’re Drowning In Unactionable Feedback We all discuss our work with colleagues. But here’s a crucial point: what kind of question do you pose to kick off that discussion? If your go-to is “What do you think?” well, that question might lead you down a rabbit hole of personal opinions rather than actionable insights. While experienced colleagues will cut through the noise, others, unsure what to evaluate, might comment on anything and everything — fonts, button colors, even when you desperately need to discuss a user flow. What matters here are two things: The question you ask, The context you give. That means clearly stating the problem, what you’ve learned, and how your idea aims to fix it. For instance: “The problem is our payment conversion rate has dropped by X%. I’ve interviewed users and found they abandon payment because they don’t understand how the total amount is calculated. My solution is to show a detailed cost breakdown. Do you think this actually solves the problem for them?” Here, you’ve stated the problem, shared your insight, explained your solution, and asked a direct question. It’s even better if you prepare a list of specific sub-questions. For instance: “Are all items in the cost breakdown clear?” or “Does the placement of this breakdown feel intuitive within the payment flow?” Another good habit is to keep your rough sketches and previous iterations handy. Some of your colleagues’ suggestions might be things you’ve already tried. It’s great if you can discuss them immediately to either revisit those ideas or definitively set them aside. I’m not a psychologist, but experience tells me that, psychologically, the reluctance to be this specific often stems from a fear of our solution being rejected. We tend to internalize feedback: a seemingly innocent comment like, “Have you considered other ways to organize this section?” or “Perhaps explore a different structure for this part?” can instantly morph in our minds into “You completely messed up the structure. You’re a bad designer.” Imposter syndrome, in all its glory. So, to wrap up this point, here are two recommendations: Prepare for every design discussion.A couple of focused questions will yield far more valuable input than a vague “So, what do you think?”. Actively work on separating feedback on your design from your self-worth.If a mistake is pointed out, acknowledge it, learn from it, and you’ll be less likely to repeat it. This is often easier said than done. For me, it took years of working with a psychotherapist. If you struggle with this, I sincerely wish you strength in overcoming it. Reason #5 You’re Just Tired Sometimes, the issue isn’t strategic at all — it’s fatigue. Fussing over icon corners can feel like a cozy bunker when your brain is fried. There’s a name for this: decision fatigue. Basically, your brain’s battery for hard thinking is low, so it hides out in the easy, comfy zone of pixel-pushing. A striking example comes from a New York Times article titled “Do You Suffer From Decision Fatigue?.” It described how judges deciding on release requests were far more likely to grant release early in the daycompared to late in the daysimply because their decision-making energy was depleted. Luckily, designers rarely hold someone’s freedom in their hands, but the example dramatically shows how fatigue can impact our judgment and productivity. What helps here: Swap tasks.Trade tickets with another designer; novelty resets your focus. Talk to another designer.If NDA permits, ask peers outside the team for a sanity check. Step away.Even a ten‑minute walk can do more than a double‑shot espresso. By the way, I came up with these ideas while walking around my office. I was lucky to work near a river, and those short walks quickly turned into a helpful habit. And one more trick that helps me snap out of detail mode early: if I catch myself making around 20 little tweaks — changing font weight, color, border radius — I just stop. Over time, it turned into a habit. I have a similar one with Instagram: by the third reel, my brain quietly asks, “Wait, weren’t we working?” Funny how that kind of nudge saves a ton of time. Four Steps I Use to Avoid Drowning In Detail Knowing these potential traps, here’s the practical process I use to stay on track: 1. Define the Core Problem & Business Goal Before anything, dig deep: what’s the actual problem we’re solving, not just the requested task or a surface-level symptom? Ask ‘why’ repeatedly. What user pain or business need are we addressing? Then, state the clear business goal: “What metric am I moving, and do we have data to prove this is the right lever?” If retention is the goal, decide whether push reminders, gamification, or personalised content is the best route. The wrong lever, or tackling a symptom instead of the cause, dooms everything downstream. 2. Choose the MechanicOnce the core problem and goal are clear, lock the solution principle or ‘mechanic’ first. Going with a game layer? Decide if it’s leaderboards, streaks, or badges. Write it down. Then move on. No UI yet. This keeps the focus high-level before diving into pixels. 3. Wireframe the Flow & Get Focused Feedback Now open Figma. Map screens, layout, and transitions. Boxes and arrows are enough. Keep the fidelity low so the discussion stays on the flow, not colour. Crucially, when you share these early wires, ask specific questions and provide clear contextto get actionable feedback, not just vague opinions. 4. Polish the VisualsI only let myself tweak grids, type scales, and shadows after the flow is validated. If progress stalls, or before a major polish effort, I surface the work in a design critique — again using targeted questions and clear context — instead of hiding in version 47. This ensures detailing serves the now-validated solution. Even for something as small as a single button, running these four checkpoints takes about ten minutes and saves hours of decorative dithering. Wrapping Up Next time you feel the pull to vanish into mock‑ups before the problem is nailed down, pause and ask what you might be avoiding. Yes, that can expose an uncomfortable truth. But pausing to ask what you might be avoiding — maybe the fuzzy core problem, or just asking for tough feedback — gives you the power to face the real issue head-on. It keeps the project focused on solving the right problem, not just perfecting a flawed solution. Attention to detail is a superpower when used at the right moment. Obsessing over pixels too soon, though, is a bad habit and a warning light telling us the process needs a rethink. #why #designers #get #stuck #details
    SMASHINGMAGAZINE.COM
    Why Designers Get Stuck In The Details And How To Stop
    You’ve drawn fifty versions of the same screen — and you still hate every one of them. Begrudgingly, you pick three, show them to your product manager, and hear: “Looks cool, but the idea doesn’t work.” Sound familiar? In this article, I’ll unpack why designers fall into detail work at the wrong moment, examining both process pitfalls and the underlying psychological reasons, as understanding these traps is the first step to overcoming them. I’ll also share tactics I use to climb out of that trap. Reason #1 You’re Afraid To Show Rough Work We designers worship detail. We’re taught that true craft equals razor‑sharp typography, perfect grids, and pixel precision. So the minute a task arrives, we pop open Figma and start polishing long before polish is needed. I’ve skipped the sketch phase more times than I care to admit. I told myself it would be faster, yet I always ended up spending hours producing a tidy mock‑up when a scribbled thumbnail would have sparked a five‑minute chat with my product manager. Rough sketches felt “unprofessional,” so I hid them. The cost? Lost time, wasted energy — and, by the third redo, teammates were quietly wondering if I even understood the brief. The real problem here is the habit: we open Figma and start perfecting the UI before we’ve even solved the problem. So why do we hide these rough sketches? It’s not just a bad habit or plain silly. There are solid psychological reasons behind it. We often just call it perfectionism, but it’s deeper than wanting things neat. Digging into the psychology (like the research by Hewitt and Flett) shows there are a couple of flavors driving this: Socially prescribed perfectionismIt’s that nagging feeling that everyone else expects perfect work from you, which makes showing anything rough feel like walking into the lion’s den. Self-oriented perfectionismWhere you’re the one setting impossibly high standards for yourself, leading to brutal self-criticism if anything looks slightly off. Either way, the result’s the same: showing unfinished work feels wrong, and you miss out on that vital early feedback. Back to the design side, remember that clients rarely see architects’ first pencil sketches, but these sketches still exist; they guide structural choices before the 3D render. Treat your thumbnails the same way — artifacts meant to collapse uncertainty, not portfolio pieces. Once stakeholders see the upside, roughness becomes a badge of speed, not sloppiness. So, the key is to consciously make that shift: Treat early sketches as disposable tools for thinking and actively share them to get feedback faster. Reason #2: You Fix The Symptom, Not The Cause Before tackling any task, we need to understand what business outcome we’re aiming for. Product managers might come to us asking to enlarge the payment button in the shopping cart because users aren’t noticing it. The suggested solution itself isn’t necessarily bad, but before redesigning the button, we should ask, “What data suggests they aren’t noticing it?” Don’t get me wrong, I’m not saying you shouldn’t trust your product manager. On the contrary, these questions help ensure you’re on the same page and working with the same data. From my experience, here are several reasons why users might not be clicking that coveted button: Users don’t understand that this step is for payment. They understand it’s about payment but expect order confirmation first. Due to incorrect translation, users don’t understand what the button means. Lack of trust signals (no security icons, unclear seller information). Unexpected additional costs (hidden fees, shipping) that appear at this stage. Technical issues (inactive button, page freezing). Now, imagine you simply did what the manager suggested. Would you have solved the problem? Hardly. Moreover, the responsibility for the unresolved issue would fall on you, as the interface solution lies within the design domain. The product manager actually did their job correctly by identifying a problem: suspiciously, few users are clicking the button. Psychologically, taking on this bigger role isn’t easy. It means overcoming the fear of making mistakes and the discomfort of exploring unclear problems rather than just doing tasks. This shift means seeing ourselves as partners who create value — even if it means fighting a hesitation to question product managers (which might come from a fear of speaking up or a desire to avoid challenging authority) — and understanding that using our product logic expertise proactively is crucial for modern designers. There’s another critical reason why we, designers, need to be a bit like product managers: the rise of AI. I deliberately used a simple example about enlarging a button, but I’m confident that in the near future, AI will easily handle routine design tasks. This worries me, but at the same time, I’m already gladly stepping into the product manager’s territory: understanding product and business metrics, formulating hypotheses, conducting research, and so on. It might sound like I’m taking work away from PMs, but believe me, they undoubtedly have enough on their plates and are usually more than happy to delegate some responsibilities to designers. Reason #3: You’re Solving The Wrong Problem Before solving anything, ask whether the problem even deserves your attention. During a major home‑screen redesign, our goal was to drive more users into paid services. The initial hypothesis — making service buttons bigger and brighter might help returning users — seemed reasonable enough to test. However, even when A/B tests (a method of comparing two versions of a design to determine which performs better) showed minimal impact, we continued to tweak those buttons. Only later did it click: the home screen isn’t the place to sell; visitors open the app to start, not to buy. We removed that promo block, and nothing broke. Contextual entry points deeper into the journey performed brilliantly. Lesson learned: Without the right context, any visual tweak is lipstick on a pig. Why did we get stuck polishing buttons instead of stopping sooner? It’s easy to get tunnel vision. Psychologically, it’s likely the good old sunk cost fallacy kicking in: we’d already invested time in the buttons, so stopping felt like wasting that effort, even though the data wasn’t promising. It’s just easier to keep fiddling with something familiar than to admit we need a new plan. Perhaps the simple question I should have asked myself when results stalled was: “Are we optimizing the right thing or just polishing something that fundamentally doesn’t fit the user’s primary goal here?” That alone might have saved hours. Reason #4: You’re Drowning In Unactionable Feedback We all discuss our work with colleagues. But here’s a crucial point: what kind of question do you pose to kick off that discussion? If your go-to is “What do you think?” well, that question might lead you down a rabbit hole of personal opinions rather than actionable insights. While experienced colleagues will cut through the noise, others, unsure what to evaluate, might comment on anything and everything — fonts, button colors, even when you desperately need to discuss a user flow. What matters here are two things: The question you ask, The context you give. That means clearly stating the problem, what you’ve learned, and how your idea aims to fix it. For instance: “The problem is our payment conversion rate has dropped by X%. I’ve interviewed users and found they abandon payment because they don’t understand how the total amount is calculated. My solution is to show a detailed cost breakdown. Do you think this actually solves the problem for them?” Here, you’ve stated the problem (conversion drop), shared your insight (user confusion), explained your solution (cost breakdown), and asked a direct question. It’s even better if you prepare a list of specific sub-questions. For instance: “Are all items in the cost breakdown clear?” or “Does the placement of this breakdown feel intuitive within the payment flow?” Another good habit is to keep your rough sketches and previous iterations handy. Some of your colleagues’ suggestions might be things you’ve already tried. It’s great if you can discuss them immediately to either revisit those ideas or definitively set them aside. I’m not a psychologist, but experience tells me that, psychologically, the reluctance to be this specific often stems from a fear of our solution being rejected. We tend to internalize feedback: a seemingly innocent comment like, “Have you considered other ways to organize this section?” or “Perhaps explore a different structure for this part?” can instantly morph in our minds into “You completely messed up the structure. You’re a bad designer.” Imposter syndrome, in all its glory. So, to wrap up this point, here are two recommendations: Prepare for every design discussion.A couple of focused questions will yield far more valuable input than a vague “So, what do you think?”. Actively work on separating feedback on your design from your self-worth.If a mistake is pointed out, acknowledge it, learn from it, and you’ll be less likely to repeat it. This is often easier said than done. For me, it took years of working with a psychotherapist. If you struggle with this, I sincerely wish you strength in overcoming it. Reason #5 You’re Just Tired Sometimes, the issue isn’t strategic at all — it’s fatigue. Fussing over icon corners can feel like a cozy bunker when your brain is fried. There’s a name for this: decision fatigue. Basically, your brain’s battery for hard thinking is low, so it hides out in the easy, comfy zone of pixel-pushing. A striking example comes from a New York Times article titled “Do You Suffer From Decision Fatigue?.” It described how judges deciding on release requests were far more likely to grant release early in the day (about 70% of cases) compared to late in the day (less than 10%) simply because their decision-making energy was depleted. Luckily, designers rarely hold someone’s freedom in their hands, but the example dramatically shows how fatigue can impact our judgment and productivity. What helps here: Swap tasks.Trade tickets with another designer; novelty resets your focus. Talk to another designer.If NDA permits, ask peers outside the team for a sanity check. Step away.Even a ten‑minute walk can do more than a double‑shot espresso. By the way, I came up with these ideas while walking around my office. I was lucky to work near a river, and those short walks quickly turned into a helpful habit. And one more trick that helps me snap out of detail mode early: if I catch myself making around 20 little tweaks — changing font weight, color, border radius — I just stop. Over time, it turned into a habit. I have a similar one with Instagram: by the third reel, my brain quietly asks, “Wait, weren’t we working?” Funny how that kind of nudge saves a ton of time. Four Steps I Use to Avoid Drowning In Detail Knowing these potential traps, here’s the practical process I use to stay on track: 1. Define the Core Problem & Business Goal Before anything, dig deep: what’s the actual problem we’re solving, not just the requested task or a surface-level symptom? Ask ‘why’ repeatedly. What user pain or business need are we addressing? Then, state the clear business goal: “What metric am I moving, and do we have data to prove this is the right lever?” If retention is the goal, decide whether push reminders, gamification, or personalised content is the best route. The wrong lever, or tackling a symptom instead of the cause, dooms everything downstream. 2. Choose the Mechanic (Solution Principle) Once the core problem and goal are clear, lock the solution principle or ‘mechanic’ first. Going with a game layer? Decide if it’s leaderboards, streaks, or badges. Write it down. Then move on. No UI yet. This keeps the focus high-level before diving into pixels. 3. Wireframe the Flow & Get Focused Feedback Now open Figma. Map screens, layout, and transitions. Boxes and arrows are enough. Keep the fidelity low so the discussion stays on the flow, not colour. Crucially, when you share these early wires, ask specific questions and provide clear context (as discussed in ‘Reason #4’) to get actionable feedback, not just vague opinions. 4. Polish the Visuals (Mindfully) I only let myself tweak grids, type scales, and shadows after the flow is validated. If progress stalls, or before a major polish effort, I surface the work in a design critique — again using targeted questions and clear context — instead of hiding in version 47. This ensures detailing serves the now-validated solution. Even for something as small as a single button, running these four checkpoints takes about ten minutes and saves hours of decorative dithering. Wrapping Up Next time you feel the pull to vanish into mock‑ups before the problem is nailed down, pause and ask what you might be avoiding. Yes, that can expose an uncomfortable truth. But pausing to ask what you might be avoiding — maybe the fuzzy core problem, or just asking for tough feedback — gives you the power to face the real issue head-on. It keeps the project focused on solving the right problem, not just perfecting a flawed solution. Attention to detail is a superpower when used at the right moment. Obsessing over pixels too soon, though, is a bad habit and a warning light telling us the process needs a rethink.
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  • NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs

    Generative AI has reshaped how people create, imagine and interact with digital content.
    As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well.
    By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4.
    NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kitdouble performance.
    In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time, on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers.
    RTX-Accelerated AI
    NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs.
    Stable Diffusion 3.5 quantized FP8generates images in half the time with similar quality as FP16. Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution.
    To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one.
    SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs.
    FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup.
    Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch.
    The optimized models are now available on Stability AI’s Hugging Face page.
    NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July.
    TensorRT for RTX SDK Released
    Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers.
    Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time.
    With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature.
    The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview.
    For more details, read this NVIDIA technical blog and this Microsoft Build recap.
    Join NVIDIA at GTC Paris
    At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay.
    GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event.
    Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. 
    Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.
    Follow NVIDIA Workstation on LinkedIn and X. 
    See notice regarding software product information.
    #nvidia #tensorrt #boosts #stable #diffusion
    NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs
    Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4. NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kitdouble performance. In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time, on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers. RTX-Accelerated AI NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs. Stable Diffusion 3.5 quantized FP8generates images in half the time with similar quality as FP16. Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution. To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one. SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs. FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup. Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch. The optimized models are now available on Stability AI’s Hugging Face page. NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July. TensorRT for RTX SDK Released Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers. Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time. With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature. The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview. For more details, read this NVIDIA technical blog and this Microsoft Build recap. Join NVIDIA at GTC Paris At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay. GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #nvidia #tensorrt #boosts #stable #diffusion
    BLOGS.NVIDIA.COM
    NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs
    Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision. NVIDIA GeForce RTX 40 Series and the Ada Lovelace generation of NVIDIA RTX PRO GPUs support FP8 quantization to help run these quantized models, and the latest-generation NVIDIA Blackwell GPUs also add support for FP4. NVIDIA collaborated with Stability AI to quantize its latest model, Stable Diffusion (SD) 3.5 Large, to FP8 — reducing VRAM consumption by 40%. Further optimizations to SD3.5 Large and Medium with the NVIDIA TensorRT software development kit (SDK) double performance. In addition, TensorRT has been reimagined for RTX AI PCs, combining its industry-leading performance with just-in-time (JIT), on-device engine building and an 8x smaller package size for seamless AI deployment to more than 100 million RTX AI PCs. TensorRT for RTX is now available as a standalone SDK for developers. RTX-Accelerated AI NVIDIA and Stability AI are boosting the performance and reducing the VRAM requirements of Stable Diffusion 3.5, one of the world’s most popular AI image models. With NVIDIA TensorRT acceleration and quantization, users can now generate and edit images faster and more efficiently on NVIDIA RTX GPUs. Stable Diffusion 3.5 quantized FP8 (right) generates images in half the time with similar quality as FP16 (left). Prompt: A serene mountain lake at sunrise, crystal clear water reflecting snow-capped peaks, lush pine trees along the shore, soft morning mist, photorealistic, vibrant colors, high resolution. To address the VRAM limitations of SD3.5 Large, the model was quantized with TensorRT to FP8, reducing the VRAM requirement by 40% to 11GB. This means five GeForce RTX 50 Series GPUs can run the model from memory instead of just one. SD3.5 Large and Medium models were also optimized with TensorRT, an AI backend for taking full advantage of Tensor Cores. TensorRT optimizes a model’s weights and graph — the instructions on how to run a model — specifically for RTX GPUs. FP8 TensorRT boosts SD3.5 Large performance by 2.3x vs. BF16 PyTorch, with 40% less memory use. For SD3.5 Medium, BF16 TensorRT delivers a 1.7x speedup. Combined, FP8 TensorRT delivers a 2.3x performance boost on SD3.5 Large compared with running the original models in BF16 PyTorch, while using 40% less memory. And in SD3.5 Medium, BF16 TensorRT provides a 1.7x performance increase compared with BF16 PyTorch. The optimized models are now available on Stability AI’s Hugging Face page. NVIDIA and Stability AI are also collaborating to release SD3.5 as an NVIDIA NIM microservice, making it easier for creators and developers to access and deploy the model for a wide range of applications. The NIM microservice is expected to be released in July. TensorRT for RTX SDK Released Announced at Microsoft Build — and already available as part of the new Windows ML framework in preview — TensorRT for RTX is now available as a standalone SDK for developers. Previously, developers needed to pre-generate and package TensorRT engines for each class of GPU — a process that would yield GPU-specific optimizations but required significant time. With the new version of TensorRT, developers can create a generic TensorRT engine that’s optimized on device in seconds. This JIT compilation approach can be done in the background during installation or when they first use the feature. The easy-to-integrate SDK is now 8x smaller and can be invoked through Windows ML — Microsoft’s new AI inference backend in Windows. Developers can download the new standalone SDK from the NVIDIA Developer page or test it in the Windows ML preview. For more details, read this NVIDIA technical blog and this Microsoft Build recap. Join NVIDIA at GTC Paris At NVIDIA GTC Paris at VivaTech — Europe’s biggest startup and tech event — NVIDIA founder and CEO Jensen Huang yesterday delivered a keynote address on the latest breakthroughs in cloud AI infrastructure, agentic AI and physical AI. Watch a replay. GTC Paris runs through Thursday, June 12, with hands-on demos and sessions led by industry leaders. Whether attending in person or joining online, there’s still plenty to explore at the event. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.
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  • Mock up a website in five prompts

    “Wait, can users actually add products to the cart?”Every prototype faces that question or one like it. You start to explain it’s “just Figma,” “just dummy data,” but what if you didn’t need disclaimers?What if you could hand clients—or your team—a working, data-connected mock-up of their website, or new pages and components, in less time than it takes to wireframe?That’s the challenge we’ll tackle today. But first, we need to look at:The problem with today’s prototyping toolsPick two: speed, flexibility, or interactivity.The prototyping ecosystem, despite having amazing software that addresses a huge variety of needs, doesn’t really have one tool that gives you all three.Wireframing apps let you draw boxes in minutes but every button is fake. Drag-and-drop builders animate scroll triggers until you ask for anything off-template. Custom code frees you… after you wave goodbye to a few afternoons.AI tools haven’t smashed the trade-off; they’ve just dressed it in flashier costumes. One prompt births a landing page, the next dumps a 2,000-line, worse-than-junior-level React file in your lap. The bottleneck is still there. Builder’s approach to website mockupsWe’ve been trying something a little different to maintain speed, flexibility, and interactivity while mocking full websites. Our AI-driven visual editor:Spins up a repo in seconds or connects to your existing one to use the code as design inspiration. React, Vue, Angular, and Svelte all work out of the box.
    Lets you shape components via plain English, visual edits, copy/pasted Figma frames, web inspos, MCP tools, and constant visual awareness of your entire website.
    Commits each change as a clean GitHub pull request your team can review like hand-written code. All your usual CI checks and lint rules apply.And if you need a tweak, you can comment to @builderio-bot right in the GitHub PR to make asynchronous changes without context switching.This results in a live site the café owner can interact with today, and a branch your devs can merge tomorrow. Stakeholders get to click actual buttons and trigger real state—no more “so, just imagine this works” demos.Let’s see it in action.From blank canvas to working mockup in five promptsToday, I’m going to mock up a fake business website. You’re welcome to create a real one.Before we fire off a single prompt, grab a note and write:Business name & vibe
    Core pages
    Primary goal
    Brand palette & toneThat’s it. Don’t sweat the details—we can always iterate. For mine, I wrote:1. Sunny Trails Bakery — family-owned, feel-good, smells like warm cinnamon.
    2. Home, About, Pricing / Subscription Box, Menu.
    3. Drive online orders and foot traffic—every CTA should funnel toward “Order Now” or “Reserve a Table.”
    4. Warm yellow, chocolate brown, rounded typography, playful copy.We’re not trying to fit everything here. What matters is clarity on what we’re creating, so the AI has enough context to produce usable scaffolds, and so later tweaks stay aligned with the client’s vision. Builder will default to using React, Vite, and Tailwind. If you want a different JS framework, you can link an existing repo in that stack. In the near future, you won’t need to do this extra step to get non-React frameworks to function.An entire website from the first promptNow, we’re ready to get going.Head over to Builder.io and paste in this prompt or your own:Create a cozy bakery website called “Sunny Trails Bakery” with pages for:
    • Home
    • About
    • Pricing
    • Menu
    Brand palette: warm yellow and chocolate brown. Tone: playful, inviting. The restaurant is family-owned, feel-good, and smells like cinnamon.
    The goal of this site is to drive online orders and foot traffic—every CTA should funnel toward "Order Now" or "Reserve a Table."Once you hit enter, Builder will spin up a new dev container, and then inside that container, the AI will build out the first version of your site. You can leave the page and come back when it’s done.Now, before we go further, let’s create our repo, so that we get version history right from the outset. Click “Create Repo” up in the top right, and link your GitHub account.Once the process is complete, you’ll have a brand new repo.If you need any help on this step, or any of the below, check out these docs.Making the mockup’s order system workFrom our one-shot prompt, we’ve already got a really nice start for our client. However, when we press the “Order Now” button, we just get a generic alert. Let’s fix this.The best part about connecting to GitHub is that we get version control. Head back to your dashboard and edit the settings of your new project. We can give it a better name, and then, in the “Advanced” section, we can change the “Commit Mode” to “Pull Requests.”Now, we have the ability to create new branches right within Builder, allowing us to make drastic changes without worrying about the main version. This is also helpful if you’d like to show your client or team a few different versions of the same prototype.On a new branch, I’ll write another short prompt:Can you make the "Order Now" button work, even if it's just with dummy JSON for now?As you can see in the GIF above, Builder creates an ordering system and a fully mobile-responsive cart and checkout flow.Now, we can click “Send PR” in the top right, and we have an ordinary GitHub PR that can be reviewed and merged as needed.This is what’s possible in two prompts. For our third, let’s gussy up the style.If you’re like me, you might spend a lot of time admiring other people’s cool designs and learning how to code up similar components in your own style.Luckily, Builder has this capability, too, with our Chrome extension. I found a “Featured Posts” section on OpenAI’s website, where I like how the layout and scrolling work. We can copy and paste it onto our “Featured Treats” section, retaining our cafe’s distinctive brand style.Don’t worry—OpenAI doesn’t mind a little web scraping.You can do this with any component on any website, so your own projects can very quickly become a “best of the web” if you know what you’re doing.Plus, you can use Figma designs in much the same way, with even better design fidelity. Copy and paste a Figma frame with our Figma plugin, and tell the AI to either use the component as inspiration or as a 1:1 to reference for what the design should be.Now, we’re ready to send our PR. This time, let’s take a closer look at the code the AI has created.As you can see, the code is neatly formatted into two reusable components. Scrolling down further, I find a CSS file and then the actual implementation on the homepage, with clean JSON to represent the dummy post data.Design tweaks to the mockup with visual editsOne issue that cropped up when the AI brought in the OpenAI layout is that it changed my text from “Featured Treats” to “Featured Stories & Treats.” I’ve realized I don’t like either, and I want to replace that text with: “Fresh Out of the Bakery.”It would be silly, though, to prompt the AI just for this small tweak. Let’s switch into edit mode.Edit Mode lets you select any component and change any of its content or underlying CSS directly. You get a host of Webflow-like options to choose from, so that you can finesse the details as needed.Once you’ve made all the visual changes you want—maybe tweaking a button color or a border radius—you can click “Apply Edits,” and the AI will ensure the underlying code matches your repo’s style.Async fixes to the mockup with Builder BotNow, our pull request is nearly ready to merge, but I found one issue with it:When we copied the OpenAI website layout earlier, one of the blog posts had a video as its featured graphic instead of just an image. This is cool for OpenAI, but for our bakery, I just wanted images in this section. Since I didn’t instruct Builder’s AI otherwise, it went ahead and followed the layout and created extra code for video capability.No problem. We can fix this inside GItHub with our final prompt. We just need to comment on the PR and tag builderio-bot. Within about a minute, Builder Bot has successfully removed the video functionality, leaving a minimal diff that affects only the code it needed to. For example: Returning to my project in Builder, I can see that the bot’s changes are accounted for in the chat window as well, and I can use the live preview link to make sure my site works as expected:Now, if this were a real project, you could easily deploy this to the web for your client. After all, you’ve got a whole GitHub repo. This isn’t just a mockup; it’s actual code you can tweak—with Builder or Cursor or by hand—until you’re satisfied to run the site in production.So, why use Builder to mock up your website?Sure, this has been a somewhat contrived example. A real prototype is going to look prettier, because I’m going to spend more time on pieces of the design that I don’t like as much.But that’s the point of the best AI tools: they don’t take you, the human, out of the loop.You still get to make all the executive decisions, and it respects your hard work. Since you can constantly see all the code the AI creates, work in branches, and prompt with component-level precision, you can stop worrying about AI overwriting your opinions and start using it more as the tool it’s designed to be.You can copy in your team’s Figma designs, import web inspos, connect MCP servers to get Jira tickets in hand, and—most importantly—work with existing repos full of existing styles that Builder will understand and match, just like it matched OpenAI’s layout to our little cafe.So, we get speed, flexibility, and interactivity all the way from prompt to PR to production.Try Builder today.
    #mock #website #five #prompts
    Mock up a website in five prompts
    “Wait, can users actually add products to the cart?”Every prototype faces that question or one like it. You start to explain it’s “just Figma,” “just dummy data,” but what if you didn’t need disclaimers?What if you could hand clients—or your team—a working, data-connected mock-up of their website, or new pages and components, in less time than it takes to wireframe?That’s the challenge we’ll tackle today. But first, we need to look at:The problem with today’s prototyping toolsPick two: speed, flexibility, or interactivity.The prototyping ecosystem, despite having amazing software that addresses a huge variety of needs, doesn’t really have one tool that gives you all three.Wireframing apps let you draw boxes in minutes but every button is fake. Drag-and-drop builders animate scroll triggers until you ask for anything off-template. Custom code frees you… after you wave goodbye to a few afternoons.AI tools haven’t smashed the trade-off; they’ve just dressed it in flashier costumes. One prompt births a landing page, the next dumps a 2,000-line, worse-than-junior-level React file in your lap. The bottleneck is still there. Builder’s approach to website mockupsWe’ve been trying something a little different to maintain speed, flexibility, and interactivity while mocking full websites. Our AI-driven visual editor:Spins up a repo in seconds or connects to your existing one to use the code as design inspiration. React, Vue, Angular, and Svelte all work out of the box. Lets you shape components via plain English, visual edits, copy/pasted Figma frames, web inspos, MCP tools, and constant visual awareness of your entire website. Commits each change as a clean GitHub pull request your team can review like hand-written code. All your usual CI checks and lint rules apply.And if you need a tweak, you can comment to @builderio-bot right in the GitHub PR to make asynchronous changes without context switching.This results in a live site the café owner can interact with today, and a branch your devs can merge tomorrow. Stakeholders get to click actual buttons and trigger real state—no more “so, just imagine this works” demos.Let’s see it in action.From blank canvas to working mockup in five promptsToday, I’m going to mock up a fake business website. You’re welcome to create a real one.Before we fire off a single prompt, grab a note and write:Business name & vibe Core pages Primary goal Brand palette & toneThat’s it. Don’t sweat the details—we can always iterate. For mine, I wrote:1. Sunny Trails Bakery — family-owned, feel-good, smells like warm cinnamon. 2. Home, About, Pricing / Subscription Box, Menu. 3. Drive online orders and foot traffic—every CTA should funnel toward “Order Now” or “Reserve a Table.” 4. Warm yellow, chocolate brown, rounded typography, playful copy.We’re not trying to fit everything here. What matters is clarity on what we’re creating, so the AI has enough context to produce usable scaffolds, and so later tweaks stay aligned with the client’s vision. Builder will default to using React, Vite, and Tailwind. If you want a different JS framework, you can link an existing repo in that stack. In the near future, you won’t need to do this extra step to get non-React frameworks to function.An entire website from the first promptNow, we’re ready to get going.Head over to Builder.io and paste in this prompt or your own:Create a cozy bakery website called “Sunny Trails Bakery” with pages for: • Home • About • Pricing • Menu Brand palette: warm yellow and chocolate brown. Tone: playful, inviting. The restaurant is family-owned, feel-good, and smells like cinnamon. The goal of this site is to drive online orders and foot traffic—every CTA should funnel toward "Order Now" or "Reserve a Table."Once you hit enter, Builder will spin up a new dev container, and then inside that container, the AI will build out the first version of your site. You can leave the page and come back when it’s done.Now, before we go further, let’s create our repo, so that we get version history right from the outset. Click “Create Repo” up in the top right, and link your GitHub account.Once the process is complete, you’ll have a brand new repo.If you need any help on this step, or any of the below, check out these docs.Making the mockup’s order system workFrom our one-shot prompt, we’ve already got a really nice start for our client. However, when we press the “Order Now” button, we just get a generic alert. Let’s fix this.The best part about connecting to GitHub is that we get version control. Head back to your dashboard and edit the settings of your new project. We can give it a better name, and then, in the “Advanced” section, we can change the “Commit Mode” to “Pull Requests.”Now, we have the ability to create new branches right within Builder, allowing us to make drastic changes without worrying about the main version. This is also helpful if you’d like to show your client or team a few different versions of the same prototype.On a new branch, I’ll write another short prompt:Can you make the "Order Now" button work, even if it's just with dummy JSON for now?As you can see in the GIF above, Builder creates an ordering system and a fully mobile-responsive cart and checkout flow.Now, we can click “Send PR” in the top right, and we have an ordinary GitHub PR that can be reviewed and merged as needed.This is what’s possible in two prompts. For our third, let’s gussy up the style.If you’re like me, you might spend a lot of time admiring other people’s cool designs and learning how to code up similar components in your own style.Luckily, Builder has this capability, too, with our Chrome extension. I found a “Featured Posts” section on OpenAI’s website, where I like how the layout and scrolling work. We can copy and paste it onto our “Featured Treats” section, retaining our cafe’s distinctive brand style.Don’t worry—OpenAI doesn’t mind a little web scraping.You can do this with any component on any website, so your own projects can very quickly become a “best of the web” if you know what you’re doing.Plus, you can use Figma designs in much the same way, with even better design fidelity. Copy and paste a Figma frame with our Figma plugin, and tell the AI to either use the component as inspiration or as a 1:1 to reference for what the design should be.Now, we’re ready to send our PR. This time, let’s take a closer look at the code the AI has created.As you can see, the code is neatly formatted into two reusable components. Scrolling down further, I find a CSS file and then the actual implementation on the homepage, with clean JSON to represent the dummy post data.Design tweaks to the mockup with visual editsOne issue that cropped up when the AI brought in the OpenAI layout is that it changed my text from “Featured Treats” to “Featured Stories & Treats.” I’ve realized I don’t like either, and I want to replace that text with: “Fresh Out of the Bakery.”It would be silly, though, to prompt the AI just for this small tweak. Let’s switch into edit mode.Edit Mode lets you select any component and change any of its content or underlying CSS directly. You get a host of Webflow-like options to choose from, so that you can finesse the details as needed.Once you’ve made all the visual changes you want—maybe tweaking a button color or a border radius—you can click “Apply Edits,” and the AI will ensure the underlying code matches your repo’s style.Async fixes to the mockup with Builder BotNow, our pull request is nearly ready to merge, but I found one issue with it:When we copied the OpenAI website layout earlier, one of the blog posts had a video as its featured graphic instead of just an image. This is cool for OpenAI, but for our bakery, I just wanted images in this section. Since I didn’t instruct Builder’s AI otherwise, it went ahead and followed the layout and created extra code for video capability.No problem. We can fix this inside GItHub with our final prompt. We just need to comment on the PR and tag builderio-bot. Within about a minute, Builder Bot has successfully removed the video functionality, leaving a minimal diff that affects only the code it needed to. For example: Returning to my project in Builder, I can see that the bot’s changes are accounted for in the chat window as well, and I can use the live preview link to make sure my site works as expected:Now, if this were a real project, you could easily deploy this to the web for your client. After all, you’ve got a whole GitHub repo. This isn’t just a mockup; it’s actual code you can tweak—with Builder or Cursor or by hand—until you’re satisfied to run the site in production.So, why use Builder to mock up your website?Sure, this has been a somewhat contrived example. A real prototype is going to look prettier, because I’m going to spend more time on pieces of the design that I don’t like as much.But that’s the point of the best AI tools: they don’t take you, the human, out of the loop.You still get to make all the executive decisions, and it respects your hard work. Since you can constantly see all the code the AI creates, work in branches, and prompt with component-level precision, you can stop worrying about AI overwriting your opinions and start using it more as the tool it’s designed to be.You can copy in your team’s Figma designs, import web inspos, connect MCP servers to get Jira tickets in hand, and—most importantly—work with existing repos full of existing styles that Builder will understand and match, just like it matched OpenAI’s layout to our little cafe.So, we get speed, flexibility, and interactivity all the way from prompt to PR to production.Try Builder today. #mock #website #five #prompts
    WWW.BUILDER.IO
    Mock up a website in five prompts
    “Wait, can users actually add products to the cart?”Every prototype faces that question or one like it. You start to explain it’s “just Figma,” “just dummy data,” but what if you didn’t need disclaimers?What if you could hand clients—or your team—a working, data-connected mock-up of their website, or new pages and components, in less time than it takes to wireframe?That’s the challenge we’ll tackle today. But first, we need to look at:The problem with today’s prototyping toolsPick two: speed, flexibility, or interactivity.The prototyping ecosystem, despite having amazing software that addresses a huge variety of needs, doesn’t really have one tool that gives you all three.Wireframing apps let you draw boxes in minutes but every button is fake. Drag-and-drop builders animate scroll triggers until you ask for anything off-template. Custom code frees you… after you wave goodbye to a few afternoons.AI tools haven’t smashed the trade-off; they’ve just dressed it in flashier costumes. One prompt births a landing page, the next dumps a 2,000-line, worse-than-junior-level React file in your lap. The bottleneck is still there. Builder’s approach to website mockupsWe’ve been trying something a little different to maintain speed, flexibility, and interactivity while mocking full websites. Our AI-driven visual editor:Spins up a repo in seconds or connects to your existing one to use the code as design inspiration. React, Vue, Angular, and Svelte all work out of the box. Lets you shape components via plain English, visual edits, copy/pasted Figma frames, web inspos, MCP tools, and constant visual awareness of your entire website. Commits each change as a clean GitHub pull request your team can review like hand-written code. All your usual CI checks and lint rules apply.And if you need a tweak, you can comment to @builderio-bot right in the GitHub PR to make asynchronous changes without context switching.This results in a live site the café owner can interact with today, and a branch your devs can merge tomorrow. Stakeholders get to click actual buttons and trigger real state—no more “so, just imagine this works” demos.Let’s see it in action.From blank canvas to working mockup in five promptsToday, I’m going to mock up a fake business website. You’re welcome to create a real one.Before we fire off a single prompt, grab a note and write:Business name & vibe Core pages Primary goal Brand palette & toneThat’s it. Don’t sweat the details—we can always iterate. For mine, I wrote:1. Sunny Trails Bakery — family-owned, feel-good, smells like warm cinnamon. 2. Home, About, Pricing / Subscription Box, Menu (with daily specials). 3. Drive online orders and foot traffic—every CTA should funnel toward “Order Now” or “Reserve a Table.” 4. Warm yellow, chocolate brown, rounded typography, playful copy.We’re not trying to fit everything here. What matters is clarity on what we’re creating, so the AI has enough context to produce usable scaffolds, and so later tweaks stay aligned with the client’s vision. Builder will default to using React, Vite, and Tailwind. If you want a different JS framework, you can link an existing repo in that stack. In the near future, you won’t need to do this extra step to get non-React frameworks to function.(Free tier Builder gives you 5 AI credits/day and 25/month—plenty to follow along with today’s demo. Upgrade only when you need it.)An entire website from the first promptNow, we’re ready to get going.Head over to Builder.io and paste in this prompt or your own:Create a cozy bakery website called “Sunny Trails Bakery” with pages for: • Home • About • Pricing • Menu Brand palette: warm yellow and chocolate brown. Tone: playful, inviting. The restaurant is family-owned, feel-good, and smells like cinnamon. The goal of this site is to drive online orders and foot traffic—every CTA should funnel toward "Order Now" or "Reserve a Table."Once you hit enter, Builder will spin up a new dev container, and then inside that container, the AI will build out the first version of your site. You can leave the page and come back when it’s done.Now, before we go further, let’s create our repo, so that we get version history right from the outset. Click “Create Repo” up in the top right, and link your GitHub account.Once the process is complete, you’ll have a brand new repo.If you need any help on this step, or any of the below, check out these docs.Making the mockup’s order system workFrom our one-shot prompt, we’ve already got a really nice start for our client. However, when we press the “Order Now” button, we just get a generic alert. Let’s fix this.The best part about connecting to GitHub is that we get version control. Head back to your dashboard and edit the settings of your new project. We can give it a better name, and then, in the “Advanced” section, we can change the “Commit Mode” to “Pull Requests.”Now, we have the ability to create new branches right within Builder, allowing us to make drastic changes without worrying about the main version. This is also helpful if you’d like to show your client or team a few different versions of the same prototype.On a new branch, I’ll write another short prompt:Can you make the "Order Now" button work, even if it's just with dummy JSON for now?As you can see in the GIF above, Builder creates an ordering system and a fully mobile-responsive cart and checkout flow.Now, we can click “Send PR” in the top right, and we have an ordinary GitHub PR that can be reviewed and merged as needed.This is what’s possible in two prompts. For our third, let’s gussy up the style.If you’re like me, you might spend a lot of time admiring other people’s cool designs and learning how to code up similar components in your own style.Luckily, Builder has this capability, too, with our Chrome extension. I found a “Featured Posts” section on OpenAI’s website, where I like how the layout and scrolling work. We can copy and paste it onto our “Featured Treats” section, retaining our cafe’s distinctive brand style.Don’t worry—OpenAI doesn’t mind a little web scraping.You can do this with any component on any website, so your own projects can very quickly become a “best of the web” if you know what you’re doing.Plus, you can use Figma designs in much the same way, with even better design fidelity. Copy and paste a Figma frame with our Figma plugin, and tell the AI to either use the component as inspiration or as a 1:1 to reference for what the design should be.(You can grab our design-to-code guide for a lot more ideas of what this can help you accomplish.)Now, we’re ready to send our PR. This time, let’s take a closer look at the code the AI has created.As you can see, the code is neatly formatted into two reusable components. Scrolling down further, I find a CSS file and then the actual implementation on the homepage, with clean JSON to represent the dummy post data.Design tweaks to the mockup with visual editsOne issue that cropped up when the AI brought in the OpenAI layout is that it changed my text from “Featured Treats” to “Featured Stories & Treats.” I’ve realized I don’t like either, and I want to replace that text with: “Fresh Out of the Bakery.”It would be silly, though, to prompt the AI just for this small tweak. Let’s switch into edit mode.Edit Mode lets you select any component and change any of its content or underlying CSS directly. You get a host of Webflow-like options to choose from, so that you can finesse the details as needed.Once you’ve made all the visual changes you want—maybe tweaking a button color or a border radius—you can click “Apply Edits,” and the AI will ensure the underlying code matches your repo’s style.Async fixes to the mockup with Builder BotNow, our pull request is nearly ready to merge, but I found one issue with it:When we copied the OpenAI website layout earlier, one of the blog posts had a video as its featured graphic instead of just an image. This is cool for OpenAI, but for our bakery, I just wanted images in this section. Since I didn’t instruct Builder’s AI otherwise, it went ahead and followed the layout and created extra code for video capability.No problem. We can fix this inside GItHub with our final prompt. We just need to comment on the PR and tag builderio-bot. Within about a minute, Builder Bot has successfully removed the video functionality, leaving a minimal diff that affects only the code it needed to. For example: Returning to my project in Builder, I can see that the bot’s changes are accounted for in the chat window as well, and I can use the live preview link to make sure my site works as expected:Now, if this were a real project, you could easily deploy this to the web for your client. After all, you’ve got a whole GitHub repo. This isn’t just a mockup; it’s actual code you can tweak—with Builder or Cursor or by hand—until you’re satisfied to run the site in production.So, why use Builder to mock up your website?Sure, this has been a somewhat contrived example. A real prototype is going to look prettier, because I’m going to spend more time on pieces of the design that I don’t like as much.But that’s the point of the best AI tools: they don’t take you, the human, out of the loop.You still get to make all the executive decisions, and it respects your hard work. Since you can constantly see all the code the AI creates, work in branches, and prompt with component-level precision, you can stop worrying about AI overwriting your opinions and start using it more as the tool it’s designed to be.You can copy in your team’s Figma designs, import web inspos, connect MCP servers to get Jira tickets in hand, and—most importantly—work with existing repos full of existing styles that Builder will understand and match, just like it matched OpenAI’s layout to our little cafe.So, we get speed, flexibility, and interactivity all the way from prompt to PR to production.Try Builder today.
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  • NYT Connections Sports Edition today: Hints and answers for June 15, 2025

    Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite

    Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.

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    Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: Needed to sign a contractGreen: Teams that sponsor open-wheel race car drivingBlue: Like father, like sonPurple: Elite journeymen

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    Connections: How to play and how to win

    Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: People Often Involved in a Contract NegotiationGreen: F1 TeamsBlue: Baseball Father/Son DuosPurple: NBA Players to Win Titles With Three Different TeamsLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #265 is...What is the answer to Connections Sports Edition todayPeople Often Involved in a Contract Negotiation - AGENT, GM, OWNER, PLAYERF1 Teams- ASTON MARTIN, FERRARI, MCLAREN, MERCEDESBaseball Father/Son Duos - BONDS, GRIFFEY, GUERRERO, TATISNBA Players to Win Titles With Three Different Teams - GREEN, HORRY, JAMES, SALLEYDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections.

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    Connections
    #nyt #connections #sports #edition #today
    NYT Connections Sports Edition today: Hints and answers for June 15, 2025
    Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media. Mashable Top Stories Stay connected with the hottest stories of the day and the latest entertainment news. Sign up for Mashable's Top Stories newsletter By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: Needed to sign a contractGreen: Teams that sponsor open-wheel race car drivingBlue: Like father, like sonPurple: Elite journeymen Featured Video For You Connections: How to play and how to win Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: People Often Involved in a Contract NegotiationGreen: F1 TeamsBlue: Baseball Father/Son DuosPurple: NBA Players to Win Titles With Three Different TeamsLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #265 is...What is the answer to Connections Sports Edition todayPeople Often Involved in a Contract Negotiation - AGENT, GM, OWNER, PLAYERF1 Teams- ASTON MARTIN, FERRARI, MCLAREN, MERCEDESBaseball Father/Son Duos - BONDS, GRIFFEY, GUERRERO, TATISNBA Players to Win Titles With Three Different Teams - GREEN, HORRY, JAMES, SALLEYDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections. Topics Connections #nyt #connections #sports #edition #today
    MASHABLE.COM
    NYT Connections Sports Edition today: Hints and answers for June 15, 2025
    Credit: Image Credit: Ian Moore / James Martin / Viva Tung / Mashable Composite Connections: Sports Edition is a new version of the popular New York Times word game that seeks to test the knowledge of sports fans. Like the original Connections, the game is all about finding the "common threads between words." And just like Wordle, Connections resets after midnight and each new set of words gets trickier and trickier—so we've served up some hints and tips to get you over the hurdle.If you just want to be told today's puzzle, you can jump to the end of this article for the latest Connections solution. But if you'd rather solve it yourself, keep reading for some clues, tips, and strategies to assist you.What is Connections Sports Edition?The NYT's latest daily word game has launched in association with The Athletic, the New York Times property that provides the publication's sports coverage. Connections can be played on both web browsers and mobile devices and require players to group four words that share something in common.Each puzzle features 16 words and each grouping of words is split into four categories. These sets could comprise of anything from book titles, software, country names, etc. Even though multiple words will seem like they fit together, there's only one correct answer.If a player gets all four words in a set correct, those words are removed from the board. Guess wrong and it counts as a mistake—players get up to four mistakes until the game ends.Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media. Mashable Top Stories Stay connected with the hottest stories of the day and the latest entertainment news. Sign up for Mashable's Top Stories newsletter By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! Here's a hint for today's Connections Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:Yellow: Needed to sign a contractGreen: Teams that sponsor open-wheel race car drivingBlue: Like father, like sonPurple: Elite journeymen Featured Video For You Connections: How to play and how to win Here are today's Connections Sports Edition categoriesNeed a little extra help? Today's connections fall into the following categories:Yellow: People Often Involved in a Contract NegotiationGreen: F1 TeamsBlue: Baseball Father/Son DuosPurple: NBA Players to Win Titles With Three Different TeamsLooking for Wordle today? Here's the answer to today's Wordle.Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.Drumroll, please!The solution to today's Connections Sports Edition #265 is...What is the answer to Connections Sports Edition todayPeople Often Involved in a Contract Negotiation - AGENT, GM, OWNER, PLAYERF1 Teams- ASTON MARTIN, FERRARI, MCLAREN, MERCEDESBaseball Father/Son Duos - BONDS, GRIFFEY, GUERRERO, TATISNBA Players to Win Titles With Three Different Teams - GREEN, HORRY, JAMES, SALLEYDon't feel down if you didn't manage to guess it this time. There will be new Connections for you to stretch your brain with tomorrow, and we'll be back again to guide you with more helpful hints.Are you also playing NYT Strands? See hints and answers for today's Strands.If you're looking for more puzzles, Mashable's got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.Not the day you're after? Here's the solution to yesterday's Connections. Topics Connections
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