• The protests in Los Angeles have brought a lot of attention, but honestly, it’s just the same old story. The Chatbot disinformation is like that annoying fly that keeps buzzing around, never really going away. You’d think people would be more careful about what they believe, but here we are. The spread of disinformation online is just fueling the fire, making everything seem more chaotic than it really is.

    It’s kind of exhausting to see the same patterns repeat. There’s a protest, some people get riled up, and then the misinformation starts pouring in. It’s like a never-ending cycle. Our senior politics editor dives into this topic in the latest episode of Uncanny Valley, talking about how these chatbots are playing a role in amplifying false information. Not that many people seem to care, though.

    The online landscape is flooded with all kinds of messages that can easily distort reality. It’s almost as if people are too tired to fact-check anymore. Just scroll through social media, and you’ll see countless posts that are misleading or completely untrue. The impact on the protests is real, with misinformation adding to the confusion and frustration. One could argue that it’s a bit depressing, really.

    As the protests continue, it’s hard to see a clear path forward. Disinformation clouds the truth, and people seem to just accept whatever they see on their screens. It’s all so monotonous. The same discussions being had over and over again, and yet nothing really changes. The chatbots keep generating content, and the cycle goes on.

    Honestly, it makes you wonder whether anyone is actually listening or if they’re just scrolling mindlessly. The discussions about the protests and the role of disinformation should be enlightening, but they often feel repetitive and bland. It’s hard to muster any excitement when the conversations feel so stale.

    In the end, it’s just more noise in a world that’s already too loud. The protests might be important, but the chatbots and their disinformation are just taking away from the real issues at hand. This episode of Uncanny Valley might shed some light, but will anyone really care? Who knows.

    #LosAngelesProtests
    #Disinformation
    #Chatbots
    #UncannyValley
    #Misinformation
    The protests in Los Angeles have brought a lot of attention, but honestly, it’s just the same old story. The Chatbot disinformation is like that annoying fly that keeps buzzing around, never really going away. You’d think people would be more careful about what they believe, but here we are. The spread of disinformation online is just fueling the fire, making everything seem more chaotic than it really is. It’s kind of exhausting to see the same patterns repeat. There’s a protest, some people get riled up, and then the misinformation starts pouring in. It’s like a never-ending cycle. Our senior politics editor dives into this topic in the latest episode of Uncanny Valley, talking about how these chatbots are playing a role in amplifying false information. Not that many people seem to care, though. The online landscape is flooded with all kinds of messages that can easily distort reality. It’s almost as if people are too tired to fact-check anymore. Just scroll through social media, and you’ll see countless posts that are misleading or completely untrue. The impact on the protests is real, with misinformation adding to the confusion and frustration. One could argue that it’s a bit depressing, really. As the protests continue, it’s hard to see a clear path forward. Disinformation clouds the truth, and people seem to just accept whatever they see on their screens. It’s all so monotonous. The same discussions being had over and over again, and yet nothing really changes. The chatbots keep generating content, and the cycle goes on. Honestly, it makes you wonder whether anyone is actually listening or if they’re just scrolling mindlessly. The discussions about the protests and the role of disinformation should be enlightening, but they often feel repetitive and bland. It’s hard to muster any excitement when the conversations feel so stale. In the end, it’s just more noise in a world that’s already too loud. The protests might be important, but the chatbots and their disinformation are just taking away from the real issues at hand. This episode of Uncanny Valley might shed some light, but will anyone really care? Who knows. #LosAngelesProtests #Disinformation #Chatbots #UncannyValley #Misinformation
    The Chatbot Disinfo Inflaming the LA Protests
    On this episode of Uncanny Valley, our senior politics editor discusses the spread of disinformation online following the onset of the Los Angeles protests.
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  • How to optimize your hybrid waterfall with CPM buckets

    In-app bidding has automated most waterfall optimization, yet developers still manage multiple hybrid waterfalls, each with dozens of manual instances. Naturally, this can be timely and overwhelming to maintain, keeping you from optimizing to perfection and focusing on other opportunities to boost revenue.Rather than analyzing each individual network and checking if instances are available at each price point, breaking down your waterfall into different CPM ranges allows you to visualize the waterfall and easily identify the gaps.Here are some tips on how to use CPM buckets to better optimize your waterfall’s performance.What are CPM buckets?CPM buckets show you exactly how much revenue and how many impressions you’re getting from each CPM price range, giving you a more granular idea of how different networks are competing in the waterfall. CPM buckets are a feature of real time pivot reports, available on ironSource LevelPlay.Identifying and closing the gapsTypically in a waterfall, you can only see each ad network’s average CPM. But this keeps you from seeing ad network distribution across all price points and understanding exactly where ad networks are bidding. Bottom line - you don’t know where in the waterfall you should add a new instance.By separating CPM into buckets,you understand exactly which networks are driving impressions and revenue and which CPMs aren’t being filledNow how do you do it? As a LevelPlay client, simply use ironSource’s real time pivot reports - choose the CPM bucket filter option and sort by “average bid price.” From here, you’ll see how your revenue spreads out among CPM ranges and you’ll start to notice gaps in your bar graph. Every gap in revenue - where revenue is much lower than the neighboring CPM group - indicates an opportunity to optimize your monetization strategy. The buckets can range from small increments like to larger increments like so it’s important to compare CPM buckets of the same incremental value.Pro tip: To best set up your waterfall, create one tab with the general waterfalland make sure to look at Revenue and eCPM in the “measures” dropdown. In the “show” section, choose CPM buckets and sort by average bid price. From here, you can mark down any gaps.But where do these gaps come from? Gaps in revenue are often due to friction in the waterfall, like not enough instances, instances that aren’t working, or a waterfall setup mistake. But gaps can also be adjusted and fixed.Once you’ve found a gap, you can look at the CPM buckets around it to better understand the context. Let’s say you see a strong instance generating significant revenue in the CPM bucket right below it, in the -80 group. This instance from this specific ad network has a lot of potential, so it’s worth trying to push it to a higher CPM bucket.In fact, when you look at higher CPM buckets, you don’t see this ad network anywhere else in the waterfall - what a missed opportunity! Try adding another instance of this network higher up in the waterfall. If you’re profiting well with a -80 CPM, imagine how much more revenue you could bring at a CPM.Pro tip: Focusing on higher areas in the waterfall makes a larger financial impact, leading to bigger increases in ARPDAU.Let’s say you decide to add 5 instances of that network to higher CPM buckets. You can use LevelPlay’s quick A/B test to understand if this adjustment boosts your revenue - not just for this gap, but for any and all that you find. Simply compare your existing waterfall against the new waterfall with these 5 higher instances - then implement the one that drives the highest instances.Božo Janković, Head of Ad Monetization at GameBiz Consulting, uses CPM buckets "to understand at which CPMs the bidding networks are filling. From there, I can pinpoint exactly where in the waterfall to add more traditional instances - which creates more competition, especially for the bidding networks, and creates an opportunity for revenue growth."Finding new insightsYou can dig even deeper into your data by filtering by ad source. Before CPM buckets, you were limited to seeing an average eCPM for each bidding network. Maybe you knew that one ad source had an average CPM of but the distribution of impression across the waterfall was a black box. Now, we know exactly which CPMs the bidders are filling. “I find ironSource CPM buckets feature very insightful and and use it daily. It’s an easy way to identify opportunities to optimize the waterfall and earn even more revenue."

    -Božo Janković, Head of Ad Monetization at GameBiz ConsultingUnderstanding your CPM distribution empowers you to not only identify your revenue sources, but also to promote revenue growth. Armed with the knowledge of which buckets some of their stronger bidding networking are performing in, some publishers actively add instances from traditional networks above those ranges. This creates better competition and also helps drive up the bids from the biddersThere’s no need for deep analysis - once you see the gaps, you can quickly understand who’s performing in the lower and higher buckets, and see exactly what’s missing. This way, you won’t miss out on any lost revenue.Learn more about CPM buckets, available exclusively to ironSource LevelPlay here.
    #how #optimize #your #hybrid #waterfall
    How to optimize your hybrid waterfall with CPM buckets
    In-app bidding has automated most waterfall optimization, yet developers still manage multiple hybrid waterfalls, each with dozens of manual instances. Naturally, this can be timely and overwhelming to maintain, keeping you from optimizing to perfection and focusing on other opportunities to boost revenue.Rather than analyzing each individual network and checking if instances are available at each price point, breaking down your waterfall into different CPM ranges allows you to visualize the waterfall and easily identify the gaps.Here are some tips on how to use CPM buckets to better optimize your waterfall’s performance.What are CPM buckets?CPM buckets show you exactly how much revenue and how many impressions you’re getting from each CPM price range, giving you a more granular idea of how different networks are competing in the waterfall. CPM buckets are a feature of real time pivot reports, available on ironSource LevelPlay.Identifying and closing the gapsTypically in a waterfall, you can only see each ad network’s average CPM. But this keeps you from seeing ad network distribution across all price points and understanding exactly where ad networks are bidding. Bottom line - you don’t know where in the waterfall you should add a new instance.By separating CPM into buckets,you understand exactly which networks are driving impressions and revenue and which CPMs aren’t being filledNow how do you do it? As a LevelPlay client, simply use ironSource’s real time pivot reports - choose the CPM bucket filter option and sort by “average bid price.” From here, you’ll see how your revenue spreads out among CPM ranges and you’ll start to notice gaps in your bar graph. Every gap in revenue - where revenue is much lower than the neighboring CPM group - indicates an opportunity to optimize your monetization strategy. The buckets can range from small increments like to larger increments like so it’s important to compare CPM buckets of the same incremental value.Pro tip: To best set up your waterfall, create one tab with the general waterfalland make sure to look at Revenue and eCPM in the “measures” dropdown. In the “show” section, choose CPM buckets and sort by average bid price. From here, you can mark down any gaps.But where do these gaps come from? Gaps in revenue are often due to friction in the waterfall, like not enough instances, instances that aren’t working, or a waterfall setup mistake. But gaps can also be adjusted and fixed.Once you’ve found a gap, you can look at the CPM buckets around it to better understand the context. Let’s say you see a strong instance generating significant revenue in the CPM bucket right below it, in the -80 group. This instance from this specific ad network has a lot of potential, so it’s worth trying to push it to a higher CPM bucket.In fact, when you look at higher CPM buckets, you don’t see this ad network anywhere else in the waterfall - what a missed opportunity! Try adding another instance of this network higher up in the waterfall. If you’re profiting well with a -80 CPM, imagine how much more revenue you could bring at a CPM.Pro tip: Focusing on higher areas in the waterfall makes a larger financial impact, leading to bigger increases in ARPDAU.Let’s say you decide to add 5 instances of that network to higher CPM buckets. You can use LevelPlay’s quick A/B test to understand if this adjustment boosts your revenue - not just for this gap, but for any and all that you find. Simply compare your existing waterfall against the new waterfall with these 5 higher instances - then implement the one that drives the highest instances.Božo Janković, Head of Ad Monetization at GameBiz Consulting, uses CPM buckets "to understand at which CPMs the bidding networks are filling. From there, I can pinpoint exactly where in the waterfall to add more traditional instances - which creates more competition, especially for the bidding networks, and creates an opportunity for revenue growth."Finding new insightsYou can dig even deeper into your data by filtering by ad source. Before CPM buckets, you were limited to seeing an average eCPM for each bidding network. Maybe you knew that one ad source had an average CPM of but the distribution of impression across the waterfall was a black box. Now, we know exactly which CPMs the bidders are filling. “I find ironSource CPM buckets feature very insightful and and use it daily. It’s an easy way to identify opportunities to optimize the waterfall and earn even more revenue." -Božo Janković, Head of Ad Monetization at GameBiz ConsultingUnderstanding your CPM distribution empowers you to not only identify your revenue sources, but also to promote revenue growth. Armed with the knowledge of which buckets some of their stronger bidding networking are performing in, some publishers actively add instances from traditional networks above those ranges. This creates better competition and also helps drive up the bids from the biddersThere’s no need for deep analysis - once you see the gaps, you can quickly understand who’s performing in the lower and higher buckets, and see exactly what’s missing. This way, you won’t miss out on any lost revenue.Learn more about CPM buckets, available exclusively to ironSource LevelPlay here. #how #optimize #your #hybrid #waterfall
    UNITY.COM
    How to optimize your hybrid waterfall with CPM buckets
    In-app bidding has automated most waterfall optimization, yet developers still manage multiple hybrid waterfalls, each with dozens of manual instances. Naturally, this can be timely and overwhelming to maintain, keeping you from optimizing to perfection and focusing on other opportunities to boost revenue.Rather than analyzing each individual network and checking if instances are available at each price point, breaking down your waterfall into different CPM ranges allows you to visualize the waterfall and easily identify the gaps.Here are some tips on how to use CPM buckets to better optimize your waterfall’s performance.What are CPM buckets?CPM buckets show you exactly how much revenue and how many impressions you’re getting from each CPM price range, giving you a more granular idea of how different networks are competing in the waterfall. CPM buckets are a feature of real time pivot reports, available on ironSource LevelPlay.Identifying and closing the gapsTypically in a waterfall, you can only see each ad network’s average CPM. But this keeps you from seeing ad network distribution across all price points and understanding exactly where ad networks are bidding. Bottom line - you don’t know where in the waterfall you should add a new instance.By separating CPM into buckets, (for example, seeing all the ad networks generating a CPM of $10-$20) you understand exactly which networks are driving impressions and revenue and which CPMs aren’t being filledNow how do you do it? As a LevelPlay client, simply use ironSource’s real time pivot reports - choose the CPM bucket filter option and sort by “average bid price.” From here, you’ll see how your revenue spreads out among CPM ranges and you’ll start to notice gaps in your bar graph. Every gap in revenue - where revenue is much lower than the neighboring CPM group - indicates an opportunity to optimize your monetization strategy. The buckets can range from small increments like $1 to larger increments like $10, so it’s important to compare CPM buckets of the same incremental value.Pro tip: To best set up your waterfall, create one tab with the general waterfall (filter app, OS, Ad unit, geo/geos from a specific group) and make sure to look at Revenue and eCPM in the “measures” dropdown. In the “show” section, choose CPM buckets and sort by average bid price. From here, you can mark down any gaps.But where do these gaps come from? Gaps in revenue are often due to friction in the waterfall, like not enough instances, instances that aren’t working, or a waterfall setup mistake. But gaps can also be adjusted and fixed.Once you’ve found a gap, you can look at the CPM buckets around it to better understand the context. Let’s say you see a strong instance generating significant revenue in the CPM bucket right below it, in the $70-80 group. This instance from this specific ad network has a lot of potential, so it’s worth trying to push it to a higher CPM bucket.In fact, when you look at higher CPM buckets, you don’t see this ad network anywhere else in the waterfall - what a missed opportunity! Try adding another instance of this network higher up in the waterfall. If you’re profiting well with a $70-80 CPM, imagine how much more revenue you could bring at a $150 CPM.Pro tip: Focusing on higher areas in the waterfall makes a larger financial impact, leading to bigger increases in ARPDAU.Let’s say you decide to add 5 instances of that network to higher CPM buckets. You can use LevelPlay’s quick A/B test to understand if this adjustment boosts your revenue - not just for this gap, but for any and all that you find. Simply compare your existing waterfall against the new waterfall with these 5 higher instances - then implement the one that drives the highest instances.Božo Janković, Head of Ad Monetization at GameBiz Consulting, uses CPM buckets "to understand at which CPMs the bidding networks are filling. From there, I can pinpoint exactly where in the waterfall to add more traditional instances - which creates more competition, especially for the bidding networks, and creates an opportunity for revenue growth."Finding new insightsYou can dig even deeper into your data by filtering by ad source. Before CPM buckets, you were limited to seeing an average eCPM for each bidding network. Maybe you knew that one ad source had an average CPM of $50, but the distribution of impression across the waterfall was a black box. Now, we know exactly which CPMs the bidders are filling. “I find ironSource CPM buckets feature very insightful and and use it daily. It’s an easy way to identify opportunities to optimize the waterfall and earn even more revenue." -Božo Janković, Head of Ad Monetization at GameBiz ConsultingUnderstanding your CPM distribution empowers you to not only identify your revenue sources, but also to promote revenue growth. Armed with the knowledge of which buckets some of their stronger bidding networking are performing in, some publishers actively add instances from traditional networks above those ranges. This creates better competition and also helps drive up the bids from the biddersThere’s no need for deep analysis - once you see the gaps, you can quickly understand who’s performing in the lower and higher buckets, and see exactly what’s missing. This way, you won’t miss out on any lost revenue.Learn more about CPM buckets, available exclusively to ironSource LevelPlay here.
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  • Sienna Net-Zero Home / billionBricks

    Sienna Net-Zero Home / billionBricksSave this picture!© Ron Mendoza , Mark Twain C , BB teamHouses, Sustainability•Quezon City, Philippines

    Architects:
    billionBricks
    Area
    Area of this architecture project

    Area: 
    45 m²

    Year
    Completion year of this architecture project

    Year: 

    2024

    Photographs

    Photographs:Ron Mendoza , Mark Twain C , BB teamMore SpecsLess Specs
    this picture!
    Text description provided by the architects. Built to address homelessness and climate change, the Sienna Net-Zero Home is a self-sustaining, solar-powered, cost-efficient, and compact housing solution. This climate-responsive and affordable home, located in Quezon City, Philippines, represents a revolutionary vision for social housing through its integration of thoughtful design, sustainability, and energy self-sufficiency.this picture!this picture!this picture!Designed with the unique tropical climate of the Philippines in mind, the Sienna Home prioritizes natural ventilation, passive cooling, and rainwater management to enhance indoor comfort and reduce reliance on artificial cooling systems. The compact 4.5m x 5.1m floor plan has been meticulously optimized for functionality, offering a flexible layout that grows and adapts to the families living in them.this picture!this picture!this picture!A key architectural feature is BillionBricks' innovative Powershade technology - an advanced solar roofing system that serves multiple purposes. Beyond generating clean, renewable energy, it acts as a protective heat barrier, reducing indoor temperatures and improving thermal comfort. Unlike conventional solar panels, Powershade seamlessly integrates with the home's structure, providing reliable energy generation while doubling as a durable roof. This makes the Sienna Home energy-positive, meaning it produces more electricity than it consumes, lowering utility costs and promoting long-term energy independence. Excess power can also be stored or sold back to the grid, creating an additional financial benefit for homeowners.this picture!When multiple Sienna Homes are built together, the innovative PowerShade roofing solution transcends its role as an individual energy source and transforms into a utility-scale solar rooftop farm, capable of powering essential community facilities and generating additional income. This shared energy infrastructure fosters a sense of collective empowerment, enabling residents to actively participate in a sustainable and financially rewarding energy ecosystem.this picture!this picture!The Sienna Home is built using lightweight prefabricated components, allowing for rapid on-site assembly while maintaining durability and structural integrity. This modular approach enables scalability, making it an ideal prototype for large-scale, cost-effective housing developments. The design also allows for future expansions, giving homeowners the flexibility to adapt their living spaces over time.this picture!Adhering to BP 220 social housing regulations, the unit features a 3-meter front setback and a 2-meter rear setback, ensuring proper ventilation, safety, and community-friendly spaces. Additionally, corner units include a 1.5-meter offset, enhancing privacy and accessibility within neighborhood layouts. Beyond providing a single-family residence, the Sienna House is designed to function within a larger sustainable community model, integrating shared green spaces, pedestrian pathways, and decentralized utilities. By promoting energy independence and environmental resilience, the project sets a new precedent for affordable yet high-quality housing solutions in rapidly urbanizing regions.this picture!The Sienna Home in Quezon City serves as a blueprint for future developments, proving that low-cost housing can be both architecturally compelling and socially transformative. By rethinking traditional housing models, BillionBricks is pioneering a future where affordability and sustainability are seamlessly integrated.

    Project gallerySee allShow less
    About this officebillionBricksOffice•••
    Published on June 15, 2025Cite: "Sienna Net-Zero Home / billionBricks" 14 Jun 2025. ArchDaily. Accessed . < ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否
    You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream
    #sienna #netzero #home #billionbricks
    Sienna Net-Zero Home / billionBricks
    Sienna Net-Zero Home / billionBricksSave this picture!© Ron Mendoza , Mark Twain C , BB teamHouses, Sustainability•Quezon City, Philippines Architects: billionBricks Area Area of this architecture project Area:  45 m² Year Completion year of this architecture project Year:  2024 Photographs Photographs:Ron Mendoza , Mark Twain C , BB teamMore SpecsLess Specs this picture! Text description provided by the architects. Built to address homelessness and climate change, the Sienna Net-Zero Home is a self-sustaining, solar-powered, cost-efficient, and compact housing solution. This climate-responsive and affordable home, located in Quezon City, Philippines, represents a revolutionary vision for social housing through its integration of thoughtful design, sustainability, and energy self-sufficiency.this picture!this picture!this picture!Designed with the unique tropical climate of the Philippines in mind, the Sienna Home prioritizes natural ventilation, passive cooling, and rainwater management to enhance indoor comfort and reduce reliance on artificial cooling systems. The compact 4.5m x 5.1m floor plan has been meticulously optimized for functionality, offering a flexible layout that grows and adapts to the families living in them.this picture!this picture!this picture!A key architectural feature is BillionBricks' innovative Powershade technology - an advanced solar roofing system that serves multiple purposes. Beyond generating clean, renewable energy, it acts as a protective heat barrier, reducing indoor temperatures and improving thermal comfort. Unlike conventional solar panels, Powershade seamlessly integrates with the home's structure, providing reliable energy generation while doubling as a durable roof. This makes the Sienna Home energy-positive, meaning it produces more electricity than it consumes, lowering utility costs and promoting long-term energy independence. Excess power can also be stored or sold back to the grid, creating an additional financial benefit for homeowners.this picture!When multiple Sienna Homes are built together, the innovative PowerShade roofing solution transcends its role as an individual energy source and transforms into a utility-scale solar rooftop farm, capable of powering essential community facilities and generating additional income. This shared energy infrastructure fosters a sense of collective empowerment, enabling residents to actively participate in a sustainable and financially rewarding energy ecosystem.this picture!this picture!The Sienna Home is built using lightweight prefabricated components, allowing for rapid on-site assembly while maintaining durability and structural integrity. This modular approach enables scalability, making it an ideal prototype for large-scale, cost-effective housing developments. The design also allows for future expansions, giving homeowners the flexibility to adapt their living spaces over time.this picture!Adhering to BP 220 social housing regulations, the unit features a 3-meter front setback and a 2-meter rear setback, ensuring proper ventilation, safety, and community-friendly spaces. Additionally, corner units include a 1.5-meter offset, enhancing privacy and accessibility within neighborhood layouts. Beyond providing a single-family residence, the Sienna House is designed to function within a larger sustainable community model, integrating shared green spaces, pedestrian pathways, and decentralized utilities. By promoting energy independence and environmental resilience, the project sets a new precedent for affordable yet high-quality housing solutions in rapidly urbanizing regions.this picture!The Sienna Home in Quezon City serves as a blueprint for future developments, proving that low-cost housing can be both architecturally compelling and socially transformative. By rethinking traditional housing models, BillionBricks is pioneering a future where affordability and sustainability are seamlessly integrated. Project gallerySee allShow less About this officebillionBricksOffice••• Published on June 15, 2025Cite: "Sienna Net-Zero Home / billionBricks" 14 Jun 2025. ArchDaily. Accessed . < ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream #sienna #netzero #home #billionbricks
    WWW.ARCHDAILY.COM
    Sienna Net-Zero Home / billionBricks
    Sienna Net-Zero Home / billionBricksSave this picture!© Ron Mendoza , Mark Twain C , BB teamHouses, Sustainability•Quezon City, Philippines Architects: billionBricks Area Area of this architecture project Area:  45 m² Year Completion year of this architecture project Year:  2024 Photographs Photographs:Ron Mendoza , Mark Twain C , BB teamMore SpecsLess Specs Save this picture! Text description provided by the architects. Built to address homelessness and climate change, the Sienna Net-Zero Home is a self-sustaining, solar-powered, cost-efficient, and compact housing solution. This climate-responsive and affordable home, located in Quezon City, Philippines, represents a revolutionary vision for social housing through its integration of thoughtful design, sustainability, and energy self-sufficiency.Save this picture!Save this picture!Save this picture!Designed with the unique tropical climate of the Philippines in mind, the Sienna Home prioritizes natural ventilation, passive cooling, and rainwater management to enhance indoor comfort and reduce reliance on artificial cooling systems. The compact 4.5m x 5.1m floor plan has been meticulously optimized for functionality, offering a flexible layout that grows and adapts to the families living in them.Save this picture!Save this picture!Save this picture!A key architectural feature is BillionBricks' innovative Powershade technology - an advanced solar roofing system that serves multiple purposes. Beyond generating clean, renewable energy, it acts as a protective heat barrier, reducing indoor temperatures and improving thermal comfort. Unlike conventional solar panels, Powershade seamlessly integrates with the home's structure, providing reliable energy generation while doubling as a durable roof. This makes the Sienna Home energy-positive, meaning it produces more electricity than it consumes, lowering utility costs and promoting long-term energy independence. Excess power can also be stored or sold back to the grid, creating an additional financial benefit for homeowners.Save this picture!When multiple Sienna Homes are built together, the innovative PowerShade roofing solution transcends its role as an individual energy source and transforms into a utility-scale solar rooftop farm, capable of powering essential community facilities and generating additional income. This shared energy infrastructure fosters a sense of collective empowerment, enabling residents to actively participate in a sustainable and financially rewarding energy ecosystem.Save this picture!Save this picture!The Sienna Home is built using lightweight prefabricated components, allowing for rapid on-site assembly while maintaining durability and structural integrity. This modular approach enables scalability, making it an ideal prototype for large-scale, cost-effective housing developments. The design also allows for future expansions, giving homeowners the flexibility to adapt their living spaces over time.Save this picture!Adhering to BP 220 social housing regulations, the unit features a 3-meter front setback and a 2-meter rear setback, ensuring proper ventilation, safety, and community-friendly spaces. Additionally, corner units include a 1.5-meter offset, enhancing privacy and accessibility within neighborhood layouts. Beyond providing a single-family residence, the Sienna House is designed to function within a larger sustainable community model, integrating shared green spaces, pedestrian pathways, and decentralized utilities. By promoting energy independence and environmental resilience, the project sets a new precedent for affordable yet high-quality housing solutions in rapidly urbanizing regions.Save this picture!The Sienna Home in Quezon City serves as a blueprint for future developments, proving that low-cost housing can be both architecturally compelling and socially transformative. By rethinking traditional housing models, BillionBricks is pioneering a future where affordability and sustainability are seamlessly integrated. Project gallerySee allShow less About this officebillionBricksOffice••• Published on June 15, 2025Cite: "Sienna Net-Zero Home / billionBricks" 14 Jun 2025. ArchDaily. Accessed . <https://www.archdaily.com/1031072/sienna-billionbricks&gt ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream
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  • STOP 3D MODELING!! ASK YVO3D INSTEAD!! 9 Minutes | 4K | AI AAA Models!!!

    Sign up for the YVO3D waitlist and get early access here: /

    Are you tired of spending hours, even days, on 3D modeling? Prepare to have your mind blown! In this video, I'm introducing YVO3D, the groundbreaking AI tool that's set to revolutionize how we create 3D models forever!

    Seriously, this isn't a drill. YVO3D can generate stunning, high-quality 4K 3D models in as little as 9 minutes – models so detailed and realistic, they're ready for AAA game production or professional rendering, with no extra software or complex steps.

    In this video, you'll see:

    The Shocking Speed: Watch me generate a complex 4K model in minutes right before your eyes.
    Insane Quality: Get a close look at the unparalleled detail and realism of the AI-generated textures and meshes.
    Effortless Workflow: A quick tour of YVO3D's incredibly intuitive UI – just type a prompt or upload an image, and let the AI do the rest.
    Seamless Unreal Engine Integration: See how easily these GLB models import into UE5, ready for your projects.
    Future-Proofing Your Workflow: I'll share an exciting announcement about YVO3D's upcoming native integrations with major 3D software like Blender, Unreal Engine, and Unity!
    This isn't just a new tool; it's a new paradigm for 3D creation. Stop modeling and start generating! Join the waitlist now while there's still space to be among the first to experience the future of 3D.

    Scene Used in This Video:


    Mario Bava Sleeps In a Little Later Than He Expected To by Chris Zabriskie is licensed under a Creative Commons Attribution 4.0 licence. /
    #stop #modeling #ask #yvo3d #instead
    STOP 3D MODELING!! ASK YVO3D INSTEAD!! 9 Minutes | 4K | AI AAA Models!!!
    Sign up for the YVO3D waitlist and get early access here: / Are you tired of spending hours, even days, on 3D modeling? Prepare to have your mind blown! In this video, I'm introducing YVO3D, the groundbreaking AI tool that's set to revolutionize how we create 3D models forever! Seriously, this isn't a drill. YVO3D can generate stunning, high-quality 4K 3D models in as little as 9 minutes – models so detailed and realistic, they're ready for AAA game production or professional rendering, with no extra software or complex steps. In this video, you'll see: The Shocking Speed: Watch me generate a complex 4K model in minutes right before your eyes. Insane Quality: Get a close look at the unparalleled detail and realism of the AI-generated textures and meshes. Effortless Workflow: A quick tour of YVO3D's incredibly intuitive UI – just type a prompt or upload an image, and let the AI do the rest. Seamless Unreal Engine Integration: See how easily these GLB models import into UE5, ready for your projects. Future-Proofing Your Workflow: I'll share an exciting announcement about YVO3D's upcoming native integrations with major 3D software like Blender, Unreal Engine, and Unity! This isn't just a new tool; it's a new paradigm for 3D creation. Stop modeling and start generating! Join the waitlist now while there's still space to be among the first to experience the future of 3D. 🧰 Scene Used in This Video: Mario Bava Sleeps In a Little Later Than He Expected To by Chris Zabriskie is licensed under a Creative Commons Attribution 4.0 licence. / #stop #modeling #ask #yvo3d #instead
    WWW.YOUTUBE.COM
    STOP 3D MODELING!! ASK YVO3D INSTEAD!! 9 Minutes | 4K | AI AAA Models!!!
    Sign up for the YVO3D waitlist and get early access here: https://yvo3d.com/ Are you tired of spending hours, even days, on 3D modeling? Prepare to have your mind blown! In this video, I'm introducing YVO3D, the groundbreaking AI tool that's set to revolutionize how we create 3D models forever! Seriously, this isn't a drill. YVO3D can generate stunning, high-quality 4K 3D models in as little as 9 minutes – models so detailed and realistic, they're ready for AAA game production or professional rendering, with no extra software or complex steps. In this video, you'll see: The Shocking Speed: Watch me generate a complex 4K model in minutes right before your eyes. Insane Quality: Get a close look at the unparalleled detail and realism of the AI-generated textures and meshes. Effortless Workflow: A quick tour of YVO3D's incredibly intuitive UI – just type a prompt or upload an image, and let the AI do the rest. Seamless Unreal Engine Integration: See how easily these GLB models import into UE5, ready for your projects. Future-Proofing Your Workflow: I'll share an exciting announcement about YVO3D's upcoming native integrations with major 3D software like Blender, Unreal Engine, and Unity! This isn't just a new tool; it's a new paradigm for 3D creation. Stop modeling and start generating! Join the waitlist now while there's still space to be among the first to experience the future of 3D. 🧰 Scene Used in This Video: https://www.fab.com/listings/88dd113a-865c-4d61-bc15-49754b22fa04 Mario Bava Sleeps In a Little Later Than He Expected To by Chris Zabriskie is licensed under a Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/
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  • Nike Introduces the Air Max 1000 its First Fully 3D Printed Sneaker

    Global sportswear leader Nike is reportedly preparing to release the Air Max 1000 Oatmeal, its first fully 3D printed sneaker, with a launch tentatively scheduled for Summer 2025. While Nike has yet to confirm an official release date, industry sources suggest the debut may occur sometime between June and August. The retail price is expected to be approximately This model marks a step in Nike’s exploration of additive manufacturing, enabled through a collaboration with Zellerfeld, a German startup known for its work in fully 3D printed footwear.
    Building Buzz Online
    The “Oatmeal” colorway—a neutral blend of soft beige tones—has already attracted attention on social platforms like TikTok, Instagram, and X. In April, content creator Janelle C. Shuttlesworth described the shoes as “light as air” in a video preview. Sneaker-focused accounts such as JustFreshKicks and TikTok user @shoehefner5 have also offered early walkthroughs. Among fans, the nickname “Foamy Oat” has started to catch on.
    Nike’s 3D printed Air Max 1000 Oatmeal. Photo via Janelle C. Shuttlesworth.
    Before generating buzz online, the sneaker made a public appearance at ComplexCon Las Vegas in November 2024. There, its laceless, sculptural silhouette and smooth, seamless texture stood out—merging futuristic design with signature Air Max elements, such as the visible heel air unit.
    Reimagining the Air Max Legacy
    Drawing inspiration from the original Air Max 1, the Air Max 1000 retains the iconic air cushion in the heel while reinventing the rest of the structure using 3D printing. The shoe’s upper and outsole are formed as a single, continuous piece, produced from ZellerFoam, a proprietary flexible material developed by Zellerfeld.
    Zellerfeld’s fused filament fabricationprocess enables varied material densities throughout the shoe—resulting in a firm, supportive sole paired with a lightweight, breathable upper. The laceless, slip-on design prioritizes ease of wear while reinforcing a sleek, minimalist aesthetic.
    Nike’s Chief Innovation Officer, John Hoke, emphasized the broader impact of the design, noting that the Air Max 1000 “opens up new creative possibilities” and achieves levels of precision and contouring not possible with traditional footwear manufacturing. He also pointed to the sustainability benefits of AM, which produces minimal waste by fabricating only the necessary components.
    Expansion of 3D Printed Footwear Technology
    The Air Max 1000 joins a growing lineup of 3D printed footwear innovations from major brands. Gucci, the Italian luxury brand known for blending traditional craftsmanship with modern techniques, unveiled several Cub3d sneakers as part of its Spring Summer 2025collection. The brand developed Demetra, a material made from at least 70% plant-based ingredients, including viscose, wood pulp, and bio-based polyurethane. The bi-material sole combines an EVA-filled interior for cushioning and a TPU exterior, featuring an Interlocking G pattern that creates a 3D effect.
    Elsewhere, Syntilay, a footwear company combining artificial intelligence with 3D printing, launched a range of custom-fit slides. These slides are designed using AI-generated 3D models, starting with sketch-based concepts that are refined through AI platforms and then transformed into digital 3D designs. The company offers sizing adjustments based on smartphone foot scans, which are integrated into the manufacturing process.
    Join our Additive Manufacturing Advantageevent on July 10th, where AM leaders from Aerospace, Space, and Defense come together to share mission-critical insights. Online and free to attend.Secure your spot now.
    Who won the2024 3D Printing Industry Awards?
    Subscribe to the 3D Printing Industry newsletterto keep up with the latest 3D printing news.
    You can also follow us onLinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content.
    Featured image shows Nike’s 3D printed Air Max 1000 Oatmeal. Photo via Janelle C. Shuttlesworth.

    Paloma Duran
    Paloma Duran holds a BA in International Relations and an MA in Journalism. Specializing in writing, podcasting, and content and event creation, she works across politics, energy, mining, and technology. With a passion for global trends, Paloma is particularly interested in the impact of technology like 3D printing on shaping our future.
    #nike #introduces #air #max #its
    Nike Introduces the Air Max 1000 its First Fully 3D Printed Sneaker
    Global sportswear leader Nike is reportedly preparing to release the Air Max 1000 Oatmeal, its first fully 3D printed sneaker, with a launch tentatively scheduled for Summer 2025. While Nike has yet to confirm an official release date, industry sources suggest the debut may occur sometime between June and August. The retail price is expected to be approximately This model marks a step in Nike’s exploration of additive manufacturing, enabled through a collaboration with Zellerfeld, a German startup known for its work in fully 3D printed footwear. Building Buzz Online The “Oatmeal” colorway—a neutral blend of soft beige tones—has already attracted attention on social platforms like TikTok, Instagram, and X. In April, content creator Janelle C. Shuttlesworth described the shoes as “light as air” in a video preview. Sneaker-focused accounts such as JustFreshKicks and TikTok user @shoehefner5 have also offered early walkthroughs. Among fans, the nickname “Foamy Oat” has started to catch on. Nike’s 3D printed Air Max 1000 Oatmeal. Photo via Janelle C. Shuttlesworth. Before generating buzz online, the sneaker made a public appearance at ComplexCon Las Vegas in November 2024. There, its laceless, sculptural silhouette and smooth, seamless texture stood out—merging futuristic design with signature Air Max elements, such as the visible heel air unit. Reimagining the Air Max Legacy Drawing inspiration from the original Air Max 1, the Air Max 1000 retains the iconic air cushion in the heel while reinventing the rest of the structure using 3D printing. The shoe’s upper and outsole are formed as a single, continuous piece, produced from ZellerFoam, a proprietary flexible material developed by Zellerfeld. Zellerfeld’s fused filament fabricationprocess enables varied material densities throughout the shoe—resulting in a firm, supportive sole paired with a lightweight, breathable upper. The laceless, slip-on design prioritizes ease of wear while reinforcing a sleek, minimalist aesthetic. Nike’s Chief Innovation Officer, John Hoke, emphasized the broader impact of the design, noting that the Air Max 1000 “opens up new creative possibilities” and achieves levels of precision and contouring not possible with traditional footwear manufacturing. He also pointed to the sustainability benefits of AM, which produces minimal waste by fabricating only the necessary components. Expansion of 3D Printed Footwear Technology The Air Max 1000 joins a growing lineup of 3D printed footwear innovations from major brands. Gucci, the Italian luxury brand known for blending traditional craftsmanship with modern techniques, unveiled several Cub3d sneakers as part of its Spring Summer 2025collection. The brand developed Demetra, a material made from at least 70% plant-based ingredients, including viscose, wood pulp, and bio-based polyurethane. The bi-material sole combines an EVA-filled interior for cushioning and a TPU exterior, featuring an Interlocking G pattern that creates a 3D effect. Elsewhere, Syntilay, a footwear company combining artificial intelligence with 3D printing, launched a range of custom-fit slides. These slides are designed using AI-generated 3D models, starting with sketch-based concepts that are refined through AI platforms and then transformed into digital 3D designs. The company offers sizing adjustments based on smartphone foot scans, which are integrated into the manufacturing process. Join our Additive Manufacturing Advantageevent on July 10th, where AM leaders from Aerospace, Space, and Defense come together to share mission-critical insights. Online and free to attend.Secure your spot now. Who won the2024 3D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletterto keep up with the latest 3D printing news. You can also follow us onLinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content. Featured image shows Nike’s 3D printed Air Max 1000 Oatmeal. Photo via Janelle C. Shuttlesworth. Paloma Duran Paloma Duran holds a BA in International Relations and an MA in Journalism. Specializing in writing, podcasting, and content and event creation, she works across politics, energy, mining, and technology. With a passion for global trends, Paloma is particularly interested in the impact of technology like 3D printing on shaping our future. #nike #introduces #air #max #its
    3DPRINTINGINDUSTRY.COM
    Nike Introduces the Air Max 1000 its First Fully 3D Printed Sneaker
    Global sportswear leader Nike is reportedly preparing to release the Air Max 1000 Oatmeal, its first fully 3D printed sneaker, with a launch tentatively scheduled for Summer 2025. While Nike has yet to confirm an official release date, industry sources suggest the debut may occur sometime between June and August. The retail price is expected to be approximately $210. This model marks a step in Nike’s exploration of additive manufacturing (AM), enabled through a collaboration with Zellerfeld, a German startup known for its work in fully 3D printed footwear. Building Buzz Online The “Oatmeal” colorway—a neutral blend of soft beige tones—has already attracted attention on social platforms like TikTok, Instagram, and X. In April, content creator Janelle C. Shuttlesworth described the shoes as “light as air” in a video preview. Sneaker-focused accounts such as JustFreshKicks and TikTok user @shoehefner5 have also offered early walkthroughs. Among fans, the nickname “Foamy Oat” has started to catch on. Nike’s 3D printed Air Max 1000 Oatmeal. Photo via Janelle C. Shuttlesworth. Before generating buzz online, the sneaker made a public appearance at ComplexCon Las Vegas in November 2024. There, its laceless, sculptural silhouette and smooth, seamless texture stood out—merging futuristic design with signature Air Max elements, such as the visible heel air unit. Reimagining the Air Max Legacy Drawing inspiration from the original Air Max 1 (1987), the Air Max 1000 retains the iconic air cushion in the heel while reinventing the rest of the structure using 3D printing. The shoe’s upper and outsole are formed as a single, continuous piece, produced from ZellerFoam, a proprietary flexible material developed by Zellerfeld. Zellerfeld’s fused filament fabrication (FFF) process enables varied material densities throughout the shoe—resulting in a firm, supportive sole paired with a lightweight, breathable upper. The laceless, slip-on design prioritizes ease of wear while reinforcing a sleek, minimalist aesthetic. Nike’s Chief Innovation Officer, John Hoke, emphasized the broader impact of the design, noting that the Air Max 1000 “opens up new creative possibilities” and achieves levels of precision and contouring not possible with traditional footwear manufacturing. He also pointed to the sustainability benefits of AM, which produces minimal waste by fabricating only the necessary components. Expansion of 3D Printed Footwear Technology The Air Max 1000 joins a growing lineup of 3D printed footwear innovations from major brands. Gucci, the Italian luxury brand known for blending traditional craftsmanship with modern techniques, unveiled several Cub3d sneakers as part of its Spring Summer 2025 (SS25) collection. The brand developed Demetra, a material made from at least 70% plant-based ingredients, including viscose, wood pulp, and bio-based polyurethane. The bi-material sole combines an EVA-filled interior for cushioning and a TPU exterior, featuring an Interlocking G pattern that creates a 3D effect. Elsewhere, Syntilay, a footwear company combining artificial intelligence with 3D printing, launched a range of custom-fit slides. These slides are designed using AI-generated 3D models, starting with sketch-based concepts that are refined through AI platforms and then transformed into digital 3D designs. The company offers sizing adjustments based on smartphone foot scans, which are integrated into the manufacturing process. Join our Additive Manufacturing Advantage (AMAA) event on July 10th, where AM leaders from Aerospace, Space, and Defense come together to share mission-critical insights. Online and free to attend.Secure your spot now. Who won the2024 3D Printing Industry Awards? Subscribe to the 3D Printing Industry newsletterto keep up with the latest 3D printing news. You can also follow us onLinkedIn, and subscribe to the 3D Printing Industry Youtube channel to access more exclusive content. Featured image shows Nike’s 3D printed Air Max 1000 Oatmeal. Photo via Janelle C. Shuttlesworth. Paloma Duran Paloma Duran holds a BA in International Relations and an MA in Journalism. Specializing in writing, podcasting, and content and event creation, she works across politics, energy, mining, and technology. With a passion for global trends, Paloma is particularly interested in the impact of technology like 3D printing on shaping our future.
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  • Premier Truck Rental: Inside Sales Representative - Remote Salt Lake Area

    Are you in search of a company that resonates with your proactive spirit and entrepreneurial mindset? Your search ends here with Premier Truck Rental! Company Overview At Premier Truck Rental, we provide customized commercial fleet rentals nationwide, helping businesses get the right trucks and equipment to get the job done. Headquartered in Fort Wayne, Indiana, PTR is a family-owned company built on a foundation of integrity, innovation, and exceptional service. We serve a wide range of industriesincluding construction, utilities, and infrastructureby delivering high-quality, ready-to-work trucks and trailers tailored to each customers needs. At PTR, we dont just rent truckswe partner with our customers to drive efficiency and success on every job site. Please keep reading Not sure if you meet every requirement? Thats okay! We encourage you to apply if youre passionate, hardworking, and eager to contribute. We know that diverse perspectives and experiences make us stronger, and we want you to be part of our journey. Inside Sales Representativeat PTR is a friendly, people-oriented, and persuasive steward of the sales process. This role will support our Territory Managers with their sales pipeline while also prospecting and cross-selling PTR products themselves. This support includes driving results by enrolling the commitment and buy-in of other internal departments to achieve sales initiatives. The Inside Sales Representative will also represent PTRs commitment to being our customers easy button by serving as the main point of contact. They will be the front-line hero by assisting them in making informed decisions, providing guidance on our rentals, and resolving any issues they might face. We are seeking someone eager to develop their sales skills and grow within our organization. This role is designed as a stepping stone to a Territory Sales Managerposition, providing hands-on experience with customer interactions, lead qualification, and sales process execution. Ideal candidates will demonstrate a strong drive for results, the ability to build relationships, and a proactive approach to learning and development. High-performing ISRs will have the opportunity to be mentored, trained, and considered for promotion into a TSM role as part of their career path at PTR. COMPENSATION This position offers a competitive compensation package of base salaryplus uncapped commissions =OTE annually. RESPONSIBILITIES Offer top-notch customer service and respond with a sense of urgency for goal achievement in a fast-paced sales environment. Build a strong pipeline of customers by qualifying potential leads in your territory. This includes strategic prospecting and sourcing. Develop creative ways to engage and build rapport with prospective customers by pitching the Premier Truck Rental value proposition. Partner with assigned Territory Managers by assisting with scheduling customer visits, trade shows, new customer hand-offs, and any other travel requested. Facilitate in-person meetings and set appointments with prospective customers. Qualify and quote inquiries for your prospective territories both online and from the Territory Manager. Input data into the system with accuracy and follow up in a timely fashion. Facilitate the onboarding of new customers through the credit process. Drive collaboration between customers, Territory Managers, Logistics, and internal teams to coordinate On-Rent and Off-Rent notices with excellent attention to detail. Identify and arrange the swap of equipment from customers meeting the PTR de-fleeting criteria. Manage the sales tools to organize, compile, and analyze data with accuracy for a variety of activities and multiple projects occurring simultaneously.Building and developing a new 3-4 state territory! REQUIREMENTS MUST HAVE2+ years of strategic prospecting or account manager/sales experience; or an advanced degree or equivalent experience converting prospects into closed sales. Tech-forward approach to sales strategy. Excellent prospecting, follow-up, and follow-through skills. Committed to seeing deals through completion. Accountability and ownership of the sales process and a strong commitment to results. Comfortable with a job that has a variety of tasks and is dynamic and changing. Proactive prospecting skills and can overcome objections; driven to establish relationships with new customers. Ability to communicate in a clear, logical manner in formal and informal situations. Proficiency in CRMs and sales tracking systems Hunters mindsetsomeone who thrives on pursuing new business, driving outbound sales, and generating qualified opportunities. Prospecting: Going on LinkedIn, Looking at Competitor data, grabbing contacts for the TM, may use technology like Apollo and LinkedIn Sales Navigator Partner closely with the Territory Manager to ensure a unified approach in managing customer relationships, pipeline development, and revenue growth. Maintain clear and consistent communication to align on sales strategies, customer needs, and market opportunities, fostering a seamless and collaborative partnership with the Territory Manager. Consistently meet and exceed key performance indicators, including rental revenue, upfit revenue, and conversion rates, by actively managing customer accounts and identifying growth opportunities. Support the saturation and maturation of the customer base through strategic outreach, relationship management, and alignment with the Territory Manager to drive long-term success. Remote in the United States with some travel to trade shows, quarterly travel up to a week at a time, and sales meetingsNICE TO HAVE Rental and/or sales experience in the industry. Proficiency in , Apollo.io , LinkedIn Sales Navigator, Power BI, MS Dynamics, Chat GPT. Established relationships within the marketplace or territory. Motivated to grow into outside territory management position with relocation On Target Earnings:EMPLOYEE BENEFITSWellness & Fitness: Take advantage of our on-site CrossFit-style gym, featuring a full-time personal trainer dedicated to helping you reach your fitness goals. Whether you're into group classes, virtual personal training, personalized workout plans, or nutrition coaching, weve got you covered!Exclusive Employee Perks: PTR Swag & a Uniform/Boot Allowance, On-site Micro-Markets stocked with snacks & essentials, discounts on phone plans, supplier vehicles, mobile detailing, tools, & equipmentand much more!Profit SharingYour Success, rewarded: At PTR, we believe in sharing success. Our Profit-SharingComprehensive BenefitsStarting Day One:Premium healthcare coverage401matching & long-term financial planning Paid time off that lets you recharge Life, accidental death, and disability coverage Ongoing learning & development opportunitiesTraining, Growth & RecognitionWe partner with Predictive Index to better understand your strengths, ensuring tailored coaching, structured training, and career development. Performance and attitude evaluations every 6 months keep you on track for growth.Culture & ConnectionMore Than Just a JobAt PTR, we dont just build relationships with our customerswe build them with each other. Our tech-forward, highly collaborative culture is rooted in our core values. Connect and engage through:PTR Field Days & Team EventsThe Extra Mile Recognition ProgramPTR Text Alerts & Open CommunicationPremier Truck Rental Is an Equal Opportunity Employer We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need support or accommodation due to a disability, contact us at PI6e547fa1c5-
    #premier #truck #rental #inside #sales
    Premier Truck Rental: Inside Sales Representative - Remote Salt Lake Area
    Are you in search of a company that resonates with your proactive spirit and entrepreneurial mindset? Your search ends here with Premier Truck Rental! Company Overview At Premier Truck Rental, we provide customized commercial fleet rentals nationwide, helping businesses get the right trucks and equipment to get the job done. Headquartered in Fort Wayne, Indiana, PTR is a family-owned company built on a foundation of integrity, innovation, and exceptional service. We serve a wide range of industriesincluding construction, utilities, and infrastructureby delivering high-quality, ready-to-work trucks and trailers tailored to each customers needs. At PTR, we dont just rent truckswe partner with our customers to drive efficiency and success on every job site. Please keep reading Not sure if you meet every requirement? Thats okay! We encourage you to apply if youre passionate, hardworking, and eager to contribute. We know that diverse perspectives and experiences make us stronger, and we want you to be part of our journey. Inside Sales Representativeat PTR is a friendly, people-oriented, and persuasive steward of the sales process. This role will support our Territory Managers with their sales pipeline while also prospecting and cross-selling PTR products themselves. This support includes driving results by enrolling the commitment and buy-in of other internal departments to achieve sales initiatives. The Inside Sales Representative will also represent PTRs commitment to being our customers easy button by serving as the main point of contact. They will be the front-line hero by assisting them in making informed decisions, providing guidance on our rentals, and resolving any issues they might face. We are seeking someone eager to develop their sales skills and grow within our organization. This role is designed as a stepping stone to a Territory Sales Managerposition, providing hands-on experience with customer interactions, lead qualification, and sales process execution. Ideal candidates will demonstrate a strong drive for results, the ability to build relationships, and a proactive approach to learning and development. High-performing ISRs will have the opportunity to be mentored, trained, and considered for promotion into a TSM role as part of their career path at PTR. COMPENSATION This position offers a competitive compensation package of base salaryplus uncapped commissions =OTE annually. RESPONSIBILITIES Offer top-notch customer service and respond with a sense of urgency for goal achievement in a fast-paced sales environment. Build a strong pipeline of customers by qualifying potential leads in your territory. This includes strategic prospecting and sourcing. Develop creative ways to engage and build rapport with prospective customers by pitching the Premier Truck Rental value proposition. Partner with assigned Territory Managers by assisting with scheduling customer visits, trade shows, new customer hand-offs, and any other travel requested. Facilitate in-person meetings and set appointments with prospective customers. Qualify and quote inquiries for your prospective territories both online and from the Territory Manager. Input data into the system with accuracy and follow up in a timely fashion. Facilitate the onboarding of new customers through the credit process. Drive collaboration between customers, Territory Managers, Logistics, and internal teams to coordinate On-Rent and Off-Rent notices with excellent attention to detail. Identify and arrange the swap of equipment from customers meeting the PTR de-fleeting criteria. Manage the sales tools to organize, compile, and analyze data with accuracy for a variety of activities and multiple projects occurring simultaneously.Building and developing a new 3-4 state territory! REQUIREMENTS MUST HAVE2+ years of strategic prospecting or account manager/sales experience; or an advanced degree or equivalent experience converting prospects into closed sales. Tech-forward approach to sales strategy. Excellent prospecting, follow-up, and follow-through skills. Committed to seeing deals through completion. Accountability and ownership of the sales process and a strong commitment to results. Comfortable with a job that has a variety of tasks and is dynamic and changing. Proactive prospecting skills and can overcome objections; driven to establish relationships with new customers. Ability to communicate in a clear, logical manner in formal and informal situations. Proficiency in CRMs and sales tracking systems Hunters mindsetsomeone who thrives on pursuing new business, driving outbound sales, and generating qualified opportunities. Prospecting: Going on LinkedIn, Looking at Competitor data, grabbing contacts for the TM, may use technology like Apollo and LinkedIn Sales Navigator Partner closely with the Territory Manager to ensure a unified approach in managing customer relationships, pipeline development, and revenue growth. Maintain clear and consistent communication to align on sales strategies, customer needs, and market opportunities, fostering a seamless and collaborative partnership with the Territory Manager. Consistently meet and exceed key performance indicators, including rental revenue, upfit revenue, and conversion rates, by actively managing customer accounts and identifying growth opportunities. Support the saturation and maturation of the customer base through strategic outreach, relationship management, and alignment with the Territory Manager to drive long-term success. Remote in the United States with some travel to trade shows, quarterly travel up to a week at a time, and sales meetingsNICE TO HAVE Rental and/or sales experience in the industry. Proficiency in , Apollo.io , LinkedIn Sales Navigator, Power BI, MS Dynamics, Chat GPT. Established relationships within the marketplace or territory. Motivated to grow into outside territory management position with relocation On Target Earnings:EMPLOYEE BENEFITSWellness & Fitness: Take advantage of our on-site CrossFit-style gym, featuring a full-time personal trainer dedicated to helping you reach your fitness goals. Whether you're into group classes, virtual personal training, personalized workout plans, or nutrition coaching, weve got you covered!Exclusive Employee Perks: PTR Swag & a Uniform/Boot Allowance, On-site Micro-Markets stocked with snacks & essentials, discounts on phone plans, supplier vehicles, mobile detailing, tools, & equipmentand much more!Profit SharingYour Success, rewarded: At PTR, we believe in sharing success. Our Profit-SharingComprehensive BenefitsStarting Day One:Premium healthcare coverage401matching & long-term financial planning Paid time off that lets you recharge Life, accidental death, and disability coverage Ongoing learning & development opportunitiesTraining, Growth & RecognitionWe partner with Predictive Index to better understand your strengths, ensuring tailored coaching, structured training, and career development. Performance and attitude evaluations every 6 months keep you on track for growth.Culture & ConnectionMore Than Just a JobAt PTR, we dont just build relationships with our customerswe build them with each other. Our tech-forward, highly collaborative culture is rooted in our core values. Connect and engage through:PTR Field Days & Team EventsThe Extra Mile Recognition ProgramPTR Text Alerts & Open CommunicationPremier Truck Rental Is an Equal Opportunity Employer We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need support or accommodation due to a disability, contact us at PI6e547fa1c5- #premier #truck #rental #inside #sales
    WEWORKREMOTELY.COM
    Premier Truck Rental: Inside Sales Representative - Remote Salt Lake Area
    Are you in search of a company that resonates with your proactive spirit and entrepreneurial mindset? Your search ends here with Premier Truck Rental! Company Overview At Premier Truck Rental (PTR), we provide customized commercial fleet rentals nationwide, helping businesses get the right trucks and equipment to get the job done. Headquartered in Fort Wayne, Indiana, PTR is a family-owned company built on a foundation of integrity, innovation, and exceptional service. We serve a wide range of industriesincluding construction, utilities, and infrastructureby delivering high-quality, ready-to-work trucks and trailers tailored to each customers needs. At PTR, we dont just rent truckswe partner with our customers to drive efficiency and success on every job site. Please keep reading Not sure if you meet every requirement? Thats okay! We encourage you to apply if youre passionate, hardworking, and eager to contribute. We know that diverse perspectives and experiences make us stronger, and we want you to be part of our journey. Inside Sales Representative (ISR) at PTR is a friendly, people-oriented, and persuasive steward of the sales process. This role will support our Territory Managers with their sales pipeline while also prospecting and cross-selling PTR products themselves. This support includes driving results by enrolling the commitment and buy-in of other internal departments to achieve sales initiatives. The Inside Sales Representative will also represent PTRs commitment to being our customers easy button by serving as the main point of contact. They will be the front-line hero by assisting them in making informed decisions, providing guidance on our rentals, and resolving any issues they might face. We are seeking someone eager to develop their sales skills and grow within our organization. This role is designed as a stepping stone to a Territory Sales Manager (TSM) position, providing hands-on experience with customer interactions, lead qualification, and sales process execution. Ideal candidates will demonstrate a strong drive for results, the ability to build relationships, and a proactive approach to learning and development. High-performing ISRs will have the opportunity to be mentored, trained, and considered for promotion into a TSM role as part of their career path at PTR. COMPENSATION This position offers a competitive compensation package of base salary ($50,000/yr) plus uncapped commissions =OTE $85,000 annually. RESPONSIBILITIES Offer top-notch customer service and respond with a sense of urgency for goal achievement in a fast-paced sales environment. Build a strong pipeline of customers by qualifying potential leads in your territory. This includes strategic prospecting and sourcing. Develop creative ways to engage and build rapport with prospective customers by pitching the Premier Truck Rental value proposition. Partner with assigned Territory Managers by assisting with scheduling customer visits, trade shows, new customer hand-offs, and any other travel requested. Facilitate in-person meetings and set appointments with prospective customers. Qualify and quote inquiries for your prospective territories both online and from the Territory Manager. Input data into the system with accuracy and follow up in a timely fashion. Facilitate the onboarding of new customers through the credit process. Drive collaboration between customers, Territory Managers, Logistics, and internal teams to coordinate On-Rent and Off-Rent notices with excellent attention to detail. Identify and arrange the swap of equipment from customers meeting the PTR de-fleeting criteria. Manage the sales tools to organize, compile, and analyze data with accuracy for a variety of activities and multiple projects occurring simultaneously.Building and developing a new 3-4 state territory! REQUIREMENTS MUST HAVE2+ years of strategic prospecting or account manager/sales experience; or an advanced degree or equivalent experience converting prospects into closed sales. Tech-forward approach to sales strategy. Excellent prospecting, follow-up, and follow-through skills. Committed to seeing deals through completion. Accountability and ownership of the sales process and a strong commitment to results. Comfortable with a job that has a variety of tasks and is dynamic and changing. Proactive prospecting skills and can overcome objections; driven to establish relationships with new customers. Ability to communicate in a clear, logical manner in formal and informal situations. Proficiency in CRMs and sales tracking systems Hunters mindsetsomeone who thrives on pursuing new business, driving outbound sales, and generating qualified opportunities. Prospecting: Going on LinkedIn, Looking at Competitor data, grabbing contacts for the TM, may use technology like Apollo and LinkedIn Sales Navigator Partner closely with the Territory Manager to ensure a unified approach in managing customer relationships, pipeline development, and revenue growth. Maintain clear and consistent communication to align on sales strategies, customer needs, and market opportunities, fostering a seamless and collaborative partnership with the Territory Manager. Consistently meet and exceed key performance indicators (KPIs), including rental revenue, upfit revenue, and conversion rates, by actively managing customer accounts and identifying growth opportunities. Support the saturation and maturation of the customer base through strategic outreach, relationship management, and alignment with the Territory Manager to drive long-term success. Remote in the United States with some travel to trade shows, quarterly travel up to a week at a time, and sales meetingsNICE TO HAVE Rental and/or sales experience in the industry. Proficiency in , Apollo.io , LinkedIn Sales Navigator, Power BI, MS Dynamics, Chat GPT. Established relationships within the marketplace or territory. Motivated to grow into outside territory management position with relocation On Target Earnings: ($85,000)EMPLOYEE BENEFITSWellness & Fitness: Take advantage of our on-site CrossFit-style gym, featuring a full-time personal trainer dedicated to helping you reach your fitness goals. Whether you're into group classes, virtual personal training, personalized workout plans, or nutrition coaching, weve got you covered!Exclusive Employee Perks: PTR Swag & a Uniform/Boot Allowance, On-site Micro-Markets stocked with snacks & essentials, discounts on phone plans, supplier vehicles, mobile detailing, tools, & equipmentand much more!Profit SharingYour Success, rewarded: At PTR, we believe in sharing success. Our Profit-SharingComprehensive BenefitsStarting Day One:Premium healthcare coverage (medical, dental, vision, mental health & virtual healthcare)401(k) matching & long-term financial planning Paid time off that lets you recharge Life, accidental death, and disability coverage Ongoing learning & development opportunitiesTraining, Growth & RecognitionWe partner with Predictive Index to better understand your strengths, ensuring tailored coaching, structured training, and career development. Performance and attitude evaluations every 6 months keep you on track for growth.Culture & ConnectionMore Than Just a JobAt PTR, we dont just build relationships with our customerswe build them with each other. Our tech-forward, highly collaborative culture is rooted in our core values. Connect and engage through:PTR Field Days & Team EventsThe Extra Mile Recognition ProgramPTR Text Alerts & Open CommunicationPremier Truck Rental Is an Equal Opportunity Employer We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need support or accommodation due to a disability, contact us at PI6e547fa1c5-
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  • OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

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

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

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

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

    As AI faces court challenges from Disney and Universal, legal battles are shaping the industry's future | Opinion
    Silicon advances and design innovations do still push us forward – but the future landscape of the industry is also being sculpted in courtrooms and parliaments

    Image credit: Disney / Epic Games

    Opinion

    by Rob Fahey
    Contributing Editor

    Published on June 13, 2025

    In some regards, the past couple of weeks have felt rather reassuring.
    We've just seen a hugely successful launch for a new Nintendo console, replete with long queues for midnight sales events. Over the next few days, the various summer events and showcases that have sprouted amongst the scattered bones of E3 generated waves of interest and hype for a host of new games.
    It all feels like old times. It's enough to make you imagine that while change is the only constant, at least it's we're facing change that's fairly well understood, change in the form of faster, cheaper silicon, or bigger, more ambitious games.
    If only the winds that blow through this industry all came from such well-defined points on the compass. Nestled in amongst the week's headlines, though, was something that's likely to have profound but much harder to understand impacts on this industry and many others over the coming years – a lawsuit being brought by Disney and NBC Universal against Midjourney, operators of the eponymous generative AI image creation tool.
    In some regards, the lawsuit looks fairly straightforward; the arguments made and considered in reaching its outcome, though, may have a profound impact on both the ability of creatives and media companiesto protect their IP rights from a very new kind of threat, and the ways in which a promising but highly controversial and risky new set of development and creative tools can be used commercially.
    A more likely tack on Midjourney's side will be the argument that they are not responsible for what their customers create with the tool
    I say the lawsuit looks straightforward from some angles, but honestly overall it looks fairly open and shut – the media giants accuse Midjourney of replicating their copyrighted characters and material, and of essentially building a machine for churning out limitless copyright violations.
    The evidence submitted includes screenshot after screenshot of Midjourney generating pages of images of famous copyrighted and trademarked characters ranging from Yoda to Homer Simpson, so "no we didn't" isn't going to be much of a defence strategy here.
    A more likely tack on Midjourney's side will be the argument that they are not responsible for what their customers create with the tool – you don't sue the manufacturers of oil paints or canvases when artists use them to paint something copyright-infringing, nor does Microsoft get sued when someone writes something libellous in Word, and Midjourney may try to argue that their software belongs in that tool category, with users alone being ultimately responsible for how they use them.

    If that argument prevails and survives appeals and challenges, it would be a major triumph for the nascent generative AI industry and a hugely damaging blow to IP holders and creatives, since it would seriously undermine their argument that AI companies shouldn't be able to include copyrighted material into training data sets without licensing or compensation.
    The reason Disney and NBCU are going after Midjourney specifically seems to be partially down to Midjourney being especially reticent to negotiate with them about licensing fees and prompt restrictions; other generative AI firms have started talking, at least, about paying for content licenses for training data, and have imposed various limitations on their software to prevent the most egregious and obvious forms of copyright violation.
    In the process, though, they're essentially risking a court showdown over a set of not-quite-clear legal questions at the heart of this dispute, and if Midjourney were to prevail in that argument, other AI companies would likely back off from engaging with IP holders on this topic.
    To be clear, though, it seems highly unlikely that Midjourney will win that argument, at least not in the medium to long term. Yet depending on how this case moves forward, losing the argument could have equally dramatic consequences – especially if the courts find themselves compelled to consider the question of how, exactly, a generative AI system reproduces a copyrighted character with such precision without storing copyright-infringing data in some manner.
    The 2020s are turning out to be the decade in which many key regulatory issues come to a head all at once
    AI advocates have been trying to handwave around this notion from the outset, but at some point a court is going to have to sit down and confront the fact that the precision with which these systems can replicate copyrighted characters, scenes, and other materials requires that they must have stored that infringing material in some form.
    That it's stored as a scattered mesh of probabilities across the vertices of a high-dimensional vector array, rather than a straightforward, monolithic media file, is clearly important but may ultimately be considered moot. If the data is in the system and can be replicated on request, how that differs from Napster or The Pirate Bay is arguably just a matter of technical obfuscation.
    Not having to defend that technical argument in court thus far has been a huge boon to the generative AI field; if it is knocked over in that venue, it will have knock-on effects on every company in the sector and on every business that uses their products.
    Nobody can be quite sure which of the various rocks and pebbles being kicked on this slope is going to set off the landslide, but there seems to be an increasing consensus that a legal and regulatory reckoning is coming for generative AI.
    Consequently, a lot of what's happening in that market right now has the feel of companies desperately trying to establish products and lock in revenue streams before that happens, because it'll be harder to regulate a technology that's genuinely integrated into the world's economic systems than it is to impose limits on one that's currently only clocking up relatively paltry sales and revenues.

    Keeping an eye on this is crucial for any industry that's started experimenting with AI in its workflows – none more than a creative industry like video games, where various forms of AI usage have been posited, although the enthusiasm and buzz so far massively outweighs any tangible benefits from the technology.
    Regardless of what happens in legal and regulatory contexts, AI is already a double-edged sword for any creative industry.
    Used judiciously, it might help to speed up development processes and reduce overheads. Applied in a slapdash or thoughtless manner, it can and will end up wreaking havoc on development timelines, filling up storefronts with endless waves of vaguely-copyright-infringing slop, and potentially make creative firms, from the industry's biggest companies to its smallest indie developers, into victims of impossibly large-scale copyright infringement rather than beneficiaries of a new wave of technology-fuelled productivity.
    The legal threat now hanging over the sector isn't new, merely amplified. We've known for a long time that AI generated artwork, code, and text has significant problems from the perspective of intellectual property rights.
    Even if you're not using AI yourself, however – even if you're vehemently opposed to it on moral and ethical grounds, the Midjourney judgement and its fallout may well impact the creative work you produce yourself and how it ends up being used and abused by these products in future.
    This all has huge ramifications for the games business and will shape everything from how games are created to how IP can be protected for many years to come – a wind of change that's very different and vastly more unpredictable than those we're accustomed to. It's a reminder of just how much of the industry's future is currently being shaped not in development studios and semiconductor labs, but rather in courtrooms and parliamentary committees.
    The ways in which generative AI can be used and how copyright can persist in the face of it will be fundamentally shaped in courts and parliaments, but it's far from the only crucially important topic being hashed out in those venues.
    The ongoing legal turmoil over the opening up of mobile app ecosystems, too, will have huge impacts on the games industry. Meanwhile, the debates over loot boxes, gambling, and various consumer protection aspects related to free-to-play models continue to rumble on in the background.
    Because the industry moves fast while governments move slow, it's easy to forget that that's still an active topic for as far as governments are concerned, and hammers may come down at any time.
    Regulation by governments, whether through the passage of new legislation or the interpretation of existing laws in the courts, has always loomed in the background of any major industry, especially one with strong cultural relevance. The games industry is no stranger to that being part of the background heartbeat of the business.
    The 2020s, however, are turning out to be the decade in which many key regulatory issues come to a head all at once, whether it's AI and copyright, app stores and walled gardens, or loot boxes and IAP-based business models.
    Rulings on those topics in various different global markets will create a complex new landscape that will shape the winds that blow through the business, and how things look in the 2030s and beyond will be fundamentally impacted by those decisions.
    #faces #court #challenges #disney #universal
    As AI faces court challenges from Disney and Universal, legal battles are shaping the industry's future | Opinion
    As AI faces court challenges from Disney and Universal, legal battles are shaping the industry's future | Opinion Silicon advances and design innovations do still push us forward – but the future landscape of the industry is also being sculpted in courtrooms and parliaments Image credit: Disney / Epic Games Opinion by Rob Fahey Contributing Editor Published on June 13, 2025 In some regards, the past couple of weeks have felt rather reassuring. We've just seen a hugely successful launch for a new Nintendo console, replete with long queues for midnight sales events. Over the next few days, the various summer events and showcases that have sprouted amongst the scattered bones of E3 generated waves of interest and hype for a host of new games. It all feels like old times. It's enough to make you imagine that while change is the only constant, at least it's we're facing change that's fairly well understood, change in the form of faster, cheaper silicon, or bigger, more ambitious games. If only the winds that blow through this industry all came from such well-defined points on the compass. Nestled in amongst the week's headlines, though, was something that's likely to have profound but much harder to understand impacts on this industry and many others over the coming years – a lawsuit being brought by Disney and NBC Universal against Midjourney, operators of the eponymous generative AI image creation tool. In some regards, the lawsuit looks fairly straightforward; the arguments made and considered in reaching its outcome, though, may have a profound impact on both the ability of creatives and media companiesto protect their IP rights from a very new kind of threat, and the ways in which a promising but highly controversial and risky new set of development and creative tools can be used commercially. A more likely tack on Midjourney's side will be the argument that they are not responsible for what their customers create with the tool I say the lawsuit looks straightforward from some angles, but honestly overall it looks fairly open and shut – the media giants accuse Midjourney of replicating their copyrighted characters and material, and of essentially building a machine for churning out limitless copyright violations. The evidence submitted includes screenshot after screenshot of Midjourney generating pages of images of famous copyrighted and trademarked characters ranging from Yoda to Homer Simpson, so "no we didn't" isn't going to be much of a defence strategy here. A more likely tack on Midjourney's side will be the argument that they are not responsible for what their customers create with the tool – you don't sue the manufacturers of oil paints or canvases when artists use them to paint something copyright-infringing, nor does Microsoft get sued when someone writes something libellous in Word, and Midjourney may try to argue that their software belongs in that tool category, with users alone being ultimately responsible for how they use them. If that argument prevails and survives appeals and challenges, it would be a major triumph for the nascent generative AI industry and a hugely damaging blow to IP holders and creatives, since it would seriously undermine their argument that AI companies shouldn't be able to include copyrighted material into training data sets without licensing or compensation. The reason Disney and NBCU are going after Midjourney specifically seems to be partially down to Midjourney being especially reticent to negotiate with them about licensing fees and prompt restrictions; other generative AI firms have started talking, at least, about paying for content licenses for training data, and have imposed various limitations on their software to prevent the most egregious and obvious forms of copyright violation. In the process, though, they're essentially risking a court showdown over a set of not-quite-clear legal questions at the heart of this dispute, and if Midjourney were to prevail in that argument, other AI companies would likely back off from engaging with IP holders on this topic. To be clear, though, it seems highly unlikely that Midjourney will win that argument, at least not in the medium to long term. Yet depending on how this case moves forward, losing the argument could have equally dramatic consequences – especially if the courts find themselves compelled to consider the question of how, exactly, a generative AI system reproduces a copyrighted character with such precision without storing copyright-infringing data in some manner. The 2020s are turning out to be the decade in which many key regulatory issues come to a head all at once AI advocates have been trying to handwave around this notion from the outset, but at some point a court is going to have to sit down and confront the fact that the precision with which these systems can replicate copyrighted characters, scenes, and other materials requires that they must have stored that infringing material in some form. That it's stored as a scattered mesh of probabilities across the vertices of a high-dimensional vector array, rather than a straightforward, monolithic media file, is clearly important but may ultimately be considered moot. If the data is in the system and can be replicated on request, how that differs from Napster or The Pirate Bay is arguably just a matter of technical obfuscation. Not having to defend that technical argument in court thus far has been a huge boon to the generative AI field; if it is knocked over in that venue, it will have knock-on effects on every company in the sector and on every business that uses their products. Nobody can be quite sure which of the various rocks and pebbles being kicked on this slope is going to set off the landslide, but there seems to be an increasing consensus that a legal and regulatory reckoning is coming for generative AI. Consequently, a lot of what's happening in that market right now has the feel of companies desperately trying to establish products and lock in revenue streams before that happens, because it'll be harder to regulate a technology that's genuinely integrated into the world's economic systems than it is to impose limits on one that's currently only clocking up relatively paltry sales and revenues. Keeping an eye on this is crucial for any industry that's started experimenting with AI in its workflows – none more than a creative industry like video games, where various forms of AI usage have been posited, although the enthusiasm and buzz so far massively outweighs any tangible benefits from the technology. Regardless of what happens in legal and regulatory contexts, AI is already a double-edged sword for any creative industry. Used judiciously, it might help to speed up development processes and reduce overheads. Applied in a slapdash or thoughtless manner, it can and will end up wreaking havoc on development timelines, filling up storefronts with endless waves of vaguely-copyright-infringing slop, and potentially make creative firms, from the industry's biggest companies to its smallest indie developers, into victims of impossibly large-scale copyright infringement rather than beneficiaries of a new wave of technology-fuelled productivity. The legal threat now hanging over the sector isn't new, merely amplified. We've known for a long time that AI generated artwork, code, and text has significant problems from the perspective of intellectual property rights. Even if you're not using AI yourself, however – even if you're vehemently opposed to it on moral and ethical grounds, the Midjourney judgement and its fallout may well impact the creative work you produce yourself and how it ends up being used and abused by these products in future. This all has huge ramifications for the games business and will shape everything from how games are created to how IP can be protected for many years to come – a wind of change that's very different and vastly more unpredictable than those we're accustomed to. It's a reminder of just how much of the industry's future is currently being shaped not in development studios and semiconductor labs, but rather in courtrooms and parliamentary committees. The ways in which generative AI can be used and how copyright can persist in the face of it will be fundamentally shaped in courts and parliaments, but it's far from the only crucially important topic being hashed out in those venues. The ongoing legal turmoil over the opening up of mobile app ecosystems, too, will have huge impacts on the games industry. Meanwhile, the debates over loot boxes, gambling, and various consumer protection aspects related to free-to-play models continue to rumble on in the background. Because the industry moves fast while governments move slow, it's easy to forget that that's still an active topic for as far as governments are concerned, and hammers may come down at any time. Regulation by governments, whether through the passage of new legislation or the interpretation of existing laws in the courts, has always loomed in the background of any major industry, especially one with strong cultural relevance. The games industry is no stranger to that being part of the background heartbeat of the business. The 2020s, however, are turning out to be the decade in which many key regulatory issues come to a head all at once, whether it's AI and copyright, app stores and walled gardens, or loot boxes and IAP-based business models. Rulings on those topics in various different global markets will create a complex new landscape that will shape the winds that blow through the business, and how things look in the 2030s and beyond will be fundamentally impacted by those decisions. #faces #court #challenges #disney #universal
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    As AI faces court challenges from Disney and Universal, legal battles are shaping the industry's future | Opinion
    As AI faces court challenges from Disney and Universal, legal battles are shaping the industry's future | Opinion Silicon advances and design innovations do still push us forward – but the future landscape of the industry is also being sculpted in courtrooms and parliaments Image credit: Disney / Epic Games Opinion by Rob Fahey Contributing Editor Published on June 13, 2025 In some regards, the past couple of weeks have felt rather reassuring. We've just seen a hugely successful launch for a new Nintendo console, replete with long queues for midnight sales events. Over the next few days, the various summer events and showcases that have sprouted amongst the scattered bones of E3 generated waves of interest and hype for a host of new games. It all feels like old times. It's enough to make you imagine that while change is the only constant, at least it's we're facing change that's fairly well understood, change in the form of faster, cheaper silicon, or bigger, more ambitious games. If only the winds that blow through this industry all came from such well-defined points on the compass. Nestled in amongst the week's headlines, though, was something that's likely to have profound but much harder to understand impacts on this industry and many others over the coming years – a lawsuit being brought by Disney and NBC Universal against Midjourney, operators of the eponymous generative AI image creation tool. In some regards, the lawsuit looks fairly straightforward; the arguments made and considered in reaching its outcome, though, may have a profound impact on both the ability of creatives and media companies (including game studios and publishers) to protect their IP rights from a very new kind of threat, and the ways in which a promising but highly controversial and risky new set of development and creative tools can be used commercially. A more likely tack on Midjourney's side will be the argument that they are not responsible for what their customers create with the tool I say the lawsuit looks straightforward from some angles, but honestly overall it looks fairly open and shut – the media giants accuse Midjourney of replicating their copyrighted characters and material, and of essentially building a machine for churning out limitless copyright violations. The evidence submitted includes screenshot after screenshot of Midjourney generating pages of images of famous copyrighted and trademarked characters ranging from Yoda to Homer Simpson, so "no we didn't" isn't going to be much of a defence strategy here. A more likely tack on Midjourney's side will be the argument that they are not responsible for what their customers create with the tool – you don't sue the manufacturers of oil paints or canvases when artists use them to paint something copyright-infringing, nor does Microsoft get sued when someone writes something libellous in Word, and Midjourney may try to argue that their software belongs in that tool category, with users alone being ultimately responsible for how they use them. If that argument prevails and survives appeals and challenges, it would be a major triumph for the nascent generative AI industry and a hugely damaging blow to IP holders and creatives, since it would seriously undermine their argument that AI companies shouldn't be able to include copyrighted material into training data sets without licensing or compensation. The reason Disney and NBCU are going after Midjourney specifically seems to be partially down to Midjourney being especially reticent to negotiate with them about licensing fees and prompt restrictions; other generative AI firms have started talking, at least, about paying for content licenses for training data, and have imposed various limitations on their software to prevent the most egregious and obvious forms of copyright violation (at least for famous characters belonging to rich companies; if you're an individual or a smaller company, it's entirely the Wild West out there as regards your IP rights). In the process, though, they're essentially risking a court showdown over a set of not-quite-clear legal questions at the heart of this dispute, and if Midjourney were to prevail in that argument, other AI companies would likely back off from engaging with IP holders on this topic. To be clear, though, it seems highly unlikely that Midjourney will win that argument, at least not in the medium to long term. Yet depending on how this case moves forward, losing the argument could have equally dramatic consequences – especially if the courts find themselves compelled to consider the question of how, exactly, a generative AI system reproduces a copyrighted character with such precision without storing copyright-infringing data in some manner. The 2020s are turning out to be the decade in which many key regulatory issues come to a head all at once AI advocates have been trying to handwave around this notion from the outset, but at some point a court is going to have to sit down and confront the fact that the precision with which these systems can replicate copyrighted characters, scenes, and other materials requires that they must have stored that infringing material in some form. That it's stored as a scattered mesh of probabilities across the vertices of a high-dimensional vector array, rather than a straightforward, monolithic media file, is clearly important but may ultimately be considered moot. If the data is in the system and can be replicated on request, how that differs from Napster or The Pirate Bay is arguably just a matter of technical obfuscation. Not having to defend that technical argument in court thus far has been a huge boon to the generative AI field; if it is knocked over in that venue, it will have knock-on effects on every company in the sector and on every business that uses their products. Nobody can be quite sure which of the various rocks and pebbles being kicked on this slope is going to set off the landslide, but there seems to be an increasing consensus that a legal and regulatory reckoning is coming for generative AI. Consequently, a lot of what's happening in that market right now has the feel of companies desperately trying to establish products and lock in revenue streams before that happens, because it'll be harder to regulate a technology that's genuinely integrated into the world's economic systems than it is to impose limits on one that's currently only clocking up relatively paltry sales and revenues. Keeping an eye on this is crucial for any industry that's started experimenting with AI in its workflows – none more than a creative industry like video games, where various forms of AI usage have been posited, although the enthusiasm and buzz so far massively outweighs any tangible benefits from the technology. Regardless of what happens in legal and regulatory contexts, AI is already a double-edged sword for any creative industry. Used judiciously, it might help to speed up development processes and reduce overheads. Applied in a slapdash or thoughtless manner, it can and will end up wreaking havoc on development timelines, filling up storefronts with endless waves of vaguely-copyright-infringing slop, and potentially make creative firms, from the industry's biggest companies to its smallest indie developers, into victims of impossibly large-scale copyright infringement rather than beneficiaries of a new wave of technology-fuelled productivity. The legal threat now hanging over the sector isn't new, merely amplified. We've known for a long time that AI generated artwork, code, and text has significant problems from the perspective of intellectual property rights (you can infringe someone else's copyright with it, but generally can't impose your own copyright on its creations – opening careless companies up to a risk of having key assets in their game being technically public domain and impossible to protect). Even if you're not using AI yourself, however – even if you're vehemently opposed to it on moral and ethical grounds (which is entirely valid given the highly dubious land-grab these companies have done for their training data), the Midjourney judgement and its fallout may well impact the creative work you produce yourself and how it ends up being used and abused by these products in future. This all has huge ramifications for the games business and will shape everything from how games are created to how IP can be protected for many years to come – a wind of change that's very different and vastly more unpredictable than those we're accustomed to. It's a reminder of just how much of the industry's future is currently being shaped not in development studios and semiconductor labs, but rather in courtrooms and parliamentary committees. The ways in which generative AI can be used and how copyright can persist in the face of it will be fundamentally shaped in courts and parliaments, but it's far from the only crucially important topic being hashed out in those venues. The ongoing legal turmoil over the opening up of mobile app ecosystems, too, will have huge impacts on the games industry. Meanwhile, the debates over loot boxes, gambling, and various consumer protection aspects related to free-to-play models continue to rumble on in the background. Because the industry moves fast while governments move slow, it's easy to forget that that's still an active topic for as far as governments are concerned, and hammers may come down at any time. Regulation by governments, whether through the passage of new legislation or the interpretation of existing laws in the courts, has always loomed in the background of any major industry, especially one with strong cultural relevance. The games industry is no stranger to that being part of the background heartbeat of the business. The 2020s, however, are turning out to be the decade in which many key regulatory issues come to a head all at once, whether it's AI and copyright, app stores and walled gardens, or loot boxes and IAP-based business models. Rulings on those topics in various different global markets will create a complex new landscape that will shape the winds that blow through the business, and how things look in the 2030s and beyond will be fundamentally impacted by those decisions.
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