• herramienta de medición, Leica BLK3D, tecnología de medición, mediciones en 3D, telemetría, diseño arquitectónico, innovación tecnológica

    ## Introducción

    El **Leica BLK3D**, un dispositivo que se presenta como la panacea para todos nuestros problemas de medición, es simplemente otra herramienta más en un mercado saturado. Nos dicen que es versátil, que permite medir en fotos, que tiene un telesquímetro integrado y que hace maravillas con su función de "Sketch" y exportación de planos en 3D. Pe...
    herramienta de medición, Leica BLK3D, tecnología de medición, mediciones en 3D, telemetría, diseño arquitectónico, innovación tecnológica ## Introducción El **Leica BLK3D**, un dispositivo que se presenta como la panacea para todos nuestros problemas de medición, es simplemente otra herramienta más en un mercado saturado. Nos dicen que es versátil, que permite medir en fotos, que tiene un telesquímetro integrado y que hace maravillas con su función de "Sketch" y exportación de planos en 3D. Pe...
    Leica BLK3D: ¿Realmente Necesitamos Otra Herramienta de Medición Mediocre?
    herramienta de medición, Leica BLK3D, tecnología de medición, mediciones en 3D, telemetría, diseño arquitectónico, innovación tecnológica ## Introducción El **Leica BLK3D**, un dispositivo que se presenta como la panacea para todos nuestros problemas de medición, es simplemente otra herramienta más en un mercado saturado. Nos dicen que es versátil, que permite medir en fotos, que tiene un...
    Like
    Love
    Wow
    Sad
    Angry
    617
    1 Comments 0 Shares 0 Reviews
  • Sharpen the story – a design guide to start-up’s pitch decks

    In early-stage start-ups, the pitch deck is often the first thing investors see. Sometimes, it’s the only thing. And yet, it rarely gets the same attention as the website or the socials. Most decks are pulled together last minute, with slides that feel rushed, messy, or just off.
    That’s where designers can really make a difference.
    The deck might seem like just another task, but it’s a chance to work on something strategic early on and help shape how the company is understood. It offers a rare opportunity to collaborate closely with copywriters, strategists and the founders to turn their vision into a clear and convincing story.
    Founders bring the vision, but more and more, design and brand teams are being asked to shape how that vision is told, and sold. So here are five handy things we’ve learned at SIDE ST for the next time you’re asked to design a deck.
    Think in context
    Designers stepping into pitch work should begin by understanding the full picture – who the deck is for, what outcomes it’s meant to drive and how it fits into the broader brand and business context. Their role isn’t just to make things look good, but to prioritise clarity over surface-level aesthetics.
    It’s about getting into the founders’ mindset, shaping visuals and copy around the message, and connecting with the intended audience. Every decision, from slide hierarchy to image selection, should reinforce the business goals behind the deck.
    Support the narrative
    Visuals are more subjective than words, and that’s exactly what gives them power. The right image can suggest an idea, reinforce a value, or subtly shift perception without a single word.
    Whether it’s hinting at accessibility, signalling innovation, or grounding the product in context, design plays a strategic role in how a company is understood. It gives designers the opportunity to take centre stage in the storytelling, shaping how the company is understood through visual choices.
    But that influence works both ways. Used thoughtlessly, visuals can distort the story, suggesting the wrong market, implying a different stage of maturity, or confusing people about the product itself. When used with care, they become a powerful design tool to sharpen the narrative and spark interest from the very first slide.
    Keep it real
    Stock photos can be tempting. They’re high-quality and easy to drop in, especially when the real images a start-up has can be grainy, unfinished, or simply not there yet.
    But in early-stage pitch decks, they often work against your client. Instead of supporting the story, they flatten it, and rarely reflect the actual team, product, or context.
    This is your chance as a designer to lean into what’s real, even if it’s a bit rough. Designers can elevate even scrappy assets with thoughtful framing and treatment, turning rough imagery into a strength. In early-stage storytelling, “real” often resonates more than “perfect.”
    Pay attention to the format
    Even if you’re brought in just to design the deck, don’t treat it as a standalone piece. It’s often the first brand touchpoint investors will see—but it won’t be the last. They’ll go on to check the website, scroll through social posts, and form an impression based on how it all fits together.
    Early-stage startups might not have full brand guidelines in place yet, but that doesn’t mean there’s no need for consistency. In fact, it gives designers a unique opportunity to lay the foundation. A strong, thoughtful deck can help shape the early visual language and give the team something to build on as the brand grows.
    Before you hit export
    For designers, the deck isn’t just another deliverable. It’s an early tool that shapes and impacts investor perception, internal alignment and founder confidence. It’s a strategic design moment to influence the trajectory of a company before it’s fully formed.
    Designers who understand the pressure, pace and uncertainty founders face at this stage are better equipped to deliver work that resonates. This is about more than simply polishing slides, it’s about helping early-stage teams tell a sharper, more human story when it matters most.
    Maor Ofek is founder of SIDE ST, a brand consultancy that works mainly with start-ups. 
    #sharpen #story #design #guide #startups
    Sharpen the story – a design guide to start-up’s pitch decks
    In early-stage start-ups, the pitch deck is often the first thing investors see. Sometimes, it’s the only thing. And yet, it rarely gets the same attention as the website or the socials. Most decks are pulled together last minute, with slides that feel rushed, messy, or just off. That’s where designers can really make a difference. The deck might seem like just another task, but it’s a chance to work on something strategic early on and help shape how the company is understood. It offers a rare opportunity to collaborate closely with copywriters, strategists and the founders to turn their vision into a clear and convincing story. Founders bring the vision, but more and more, design and brand teams are being asked to shape how that vision is told, and sold. So here are five handy things we’ve learned at SIDE ST for the next time you’re asked to design a deck. Think in context Designers stepping into pitch work should begin by understanding the full picture – who the deck is for, what outcomes it’s meant to drive and how it fits into the broader brand and business context. Their role isn’t just to make things look good, but to prioritise clarity over surface-level aesthetics. It’s about getting into the founders’ mindset, shaping visuals and copy around the message, and connecting with the intended audience. Every decision, from slide hierarchy to image selection, should reinforce the business goals behind the deck. Support the narrative Visuals are more subjective than words, and that’s exactly what gives them power. The right image can suggest an idea, reinforce a value, or subtly shift perception without a single word. Whether it’s hinting at accessibility, signalling innovation, or grounding the product in context, design plays a strategic role in how a company is understood. It gives designers the opportunity to take centre stage in the storytelling, shaping how the company is understood through visual choices. But that influence works both ways. Used thoughtlessly, visuals can distort the story, suggesting the wrong market, implying a different stage of maturity, or confusing people about the product itself. When used with care, they become a powerful design tool to sharpen the narrative and spark interest from the very first slide. Keep it real Stock photos can be tempting. They’re high-quality and easy to drop in, especially when the real images a start-up has can be grainy, unfinished, or simply not there yet. But in early-stage pitch decks, they often work against your client. Instead of supporting the story, they flatten it, and rarely reflect the actual team, product, or context. This is your chance as a designer to lean into what’s real, even if it’s a bit rough. Designers can elevate even scrappy assets with thoughtful framing and treatment, turning rough imagery into a strength. In early-stage storytelling, “real” often resonates more than “perfect.” Pay attention to the format Even if you’re brought in just to design the deck, don’t treat it as a standalone piece. It’s often the first brand touchpoint investors will see—but it won’t be the last. They’ll go on to check the website, scroll through social posts, and form an impression based on how it all fits together. Early-stage startups might not have full brand guidelines in place yet, but that doesn’t mean there’s no need for consistency. In fact, it gives designers a unique opportunity to lay the foundation. A strong, thoughtful deck can help shape the early visual language and give the team something to build on as the brand grows. Before you hit export For designers, the deck isn’t just another deliverable. It’s an early tool that shapes and impacts investor perception, internal alignment and founder confidence. It’s a strategic design moment to influence the trajectory of a company before it’s fully formed. Designers who understand the pressure, pace and uncertainty founders face at this stage are better equipped to deliver work that resonates. This is about more than simply polishing slides, it’s about helping early-stage teams tell a sharper, more human story when it matters most. Maor Ofek is founder of SIDE ST, a brand consultancy that works mainly with start-ups.  #sharpen #story #design #guide #startups
    WWW.DESIGNWEEK.CO.UK
    Sharpen the story – a design guide to start-up’s pitch decks
    In early-stage start-ups, the pitch deck is often the first thing investors see. Sometimes, it’s the only thing. And yet, it rarely gets the same attention as the website or the socials. Most decks are pulled together last minute, with slides that feel rushed, messy, or just off. That’s where designers can really make a difference. The deck might seem like just another task, but it’s a chance to work on something strategic early on and help shape how the company is understood. It offers a rare opportunity to collaborate closely with copywriters, strategists and the founders to turn their vision into a clear and convincing story. Founders bring the vision, but more and more, design and brand teams are being asked to shape how that vision is told, and sold. So here are five handy things we’ve learned at SIDE ST for the next time you’re asked to design a deck. Think in context Designers stepping into pitch work should begin by understanding the full picture – who the deck is for, what outcomes it’s meant to drive and how it fits into the broader brand and business context. Their role isn’t just to make things look good, but to prioritise clarity over surface-level aesthetics. It’s about getting into the founders’ mindset, shaping visuals and copy around the message, and connecting with the intended audience. Every decision, from slide hierarchy to image selection, should reinforce the business goals behind the deck. Support the narrative Visuals are more subjective than words, and that’s exactly what gives them power. The right image can suggest an idea, reinforce a value, or subtly shift perception without a single word. Whether it’s hinting at accessibility, signalling innovation, or grounding the product in context, design plays a strategic role in how a company is understood. It gives designers the opportunity to take centre stage in the storytelling, shaping how the company is understood through visual choices. But that influence works both ways. Used thoughtlessly, visuals can distort the story, suggesting the wrong market, implying a different stage of maturity, or confusing people about the product itself. When used with care, they become a powerful design tool to sharpen the narrative and spark interest from the very first slide. Keep it real Stock photos can be tempting. They’re high-quality and easy to drop in, especially when the real images a start-up has can be grainy, unfinished, or simply not there yet. But in early-stage pitch decks, they often work against your client. Instead of supporting the story, they flatten it, and rarely reflect the actual team, product, or context. This is your chance as a designer to lean into what’s real, even if it’s a bit rough. Designers can elevate even scrappy assets with thoughtful framing and treatment, turning rough imagery into a strength. In early-stage storytelling, “real” often resonates more than “perfect.” Pay attention to the format Even if you’re brought in just to design the deck, don’t treat it as a standalone piece. It’s often the first brand touchpoint investors will see—but it won’t be the last. They’ll go on to check the website, scroll through social posts, and form an impression based on how it all fits together. Early-stage startups might not have full brand guidelines in place yet, but that doesn’t mean there’s no need for consistency. In fact, it gives designers a unique opportunity to lay the foundation. A strong, thoughtful deck can help shape the early visual language and give the team something to build on as the brand grows. Before you hit export For designers, the deck isn’t just another deliverable. It’s an early tool that shapes and impacts investor perception, internal alignment and founder confidence. It’s a strategic design moment to influence the trajectory of a company before it’s fully formed. Designers who understand the pressure, pace and uncertainty founders face at this stage are better equipped to deliver work that resonates. This is about more than simply polishing slides, it’s about helping early-stage teams tell a sharper, more human story when it matters most. Maor Ofek is founder of SIDE ST, a brand consultancy that works mainly with start-ups. 
    Like
    Love
    Wow
    Sad
    Angry
    557
    2 Comments 0 Shares 0 Reviews
  • Inside the thinking behind Frontify Futures' standout brand identity

    Who knows where branding will go in the future? However, for many of us working in the creative industries, it's our job to know. So it's something we need to start talking about, and Frontify Futures wants to be the platform where that conversation unfolds.
    This ambitious new thought leadership initiative from Frontify brings together an extraordinary coalition of voices—CMOs who've scaled global brands, creative leaders reimagining possibilities, strategy directors pioneering new approaches, and cultural forecasters mapping emerging opportunities—to explore how effectiveness, innovation, and scale will shape tomorrow's brand-building landscape.
    But Frontify Futures isn't just another content platform. Excitingly, from a design perspective, it's also a living experiment in what brand identity can become when technology meets craft, when systems embrace chaos, and when the future itself becomes a design material.
    Endless variation
    What makes Frontify Futures' typography unique isn't just its custom foundation: it's how that foundation enables endless variation and evolution. This was primarily achieved, reveals developer and digital art director Daniel Powell, by building bespoke tools for the project.

    "Rather than rely solely on streamlined tools built for speed and production, we started building our own," he explains. "The first was a node-based design tool that takes our custom Frame and Hairline fonts as a base and uses them as the foundations for our type generator. With it, we can generate unique type variations for each content strand—each article, even—and create both static and animated type, exportable as video or rendered live in the browser."
    Each of these tools included what Daniel calls a "chaos element: a small but intentional glitch in the system. A microstatement about the nature of the future: that it can be anticipated but never fully known. It's our way of keeping gesture alive inside the system."
    One of the clearest examples of this is the colour palette generator. "It samples from a dynamic photo grid tied to a rotating colour wheel that completes one full revolution per year," Daniel explains. "But here's the twist: wind speed and direction in St. Gallen, Switzerland—Frontify's HQ—nudges the wheel unpredictably off-centre. It's a subtle, living mechanic; each article contains a log of the wind data in its code as a kind of Easter Egg."

    Another favourite of Daniel's—yet to be released—is an expanded version of Conway's Game of Life. "It's been running continuously for over a month now, evolving patterns used in one of the content strand headers," he reveals. "The designer becomes a kind of photographer, capturing moments from a petri dish of generative motion."
    Core Philosophy
    In developing this unique identity, two phrases stood out to Daniel as guiding lights from the outset. The first was, 'We will show, not tell.'
    "This became the foundation for how we approached the identity," recalls Daniel. "It had to feel like a playground: open, experimental, and fluid. Not overly precious or prescriptive. A system the Frontify team could truly own, shape, and evolve. A platform, not a final product. A foundation, just as the future is always built on the past."

    The second guiding phrase, pulled directly from Frontify's rebrand materials, felt like "a call to action," says Daniel. "'Gestural and geometric. Human and machine. Art and science.' It's a tension that feels especially relevant in the creative industries today. As technology accelerates, we ask ourselves: how do we still hold onto our craft? What does it mean to be expressive in an increasingly systemised world?"
    Stripped back and skeletal typography
    The identity that Daniel and his team created reflects these themes through typography that literally embodies the platform's core philosophy. It really started from this idea of the past being built upon the 'foundations' of the past," he explains. "At the time Frontify Futures was being created, Frontify itself was going through a rebrand. With that, they'd started using a new variable typeface called Cranny, a custom cut of Azurio by Narrow Type."
    Daniel's team took Cranny and "pushed it into a stripped-back and almost skeletal take". The result was Crany-Frame and Crany-Hairline. "These fonts then served as our base scaffolding," he continues. "They were never seen in design, but instead, we applied decoration them to produce new typefaces for each content strand, giving the identity the space to grow and allow new ideas and shapes to form."

    As Daniel saw it, the demands on the typeface were pretty simple. "It needed to set an atmosphere. We needed it needed to feel alive. We wanted it to be something shifting and repositioning. And so, while we have a bunch of static cuts of each base style, we rarely use them; the typefaces you see on the website and social only exist at the moment as a string of parameters to create a general style that we use to create live animating versions of the font generated on the fly."
    In addition to setting the atmosphere, it needed to be extremely flexible and feature live inputs, as a significant part of the branding is about the unpredictability of the future. "So Daniel's team built in those aforementioned "chaos moments where everything from user interaction to live windspeeds can affect the font."
    Design Process
    The process of creating the typefaces is a fascinating one. "We started by working with the custom cut of Azuriofrom Narrow Type. We then redrew it to take inspiration from how a frame and a hairline could be produced from this original cut. From there, we built a type generation tool that uses them as a base.
    "It's a custom node-based system that lets us really get in there and play with the overlays for everything from grid-sizing, shapes and timing for the animation," he outlines. "We used this tool to design the variants for different content strands. We weren't just designing letterforms; we were designing a comprehensive toolset that could evolve in tandem with the content.
    "That became a big part of the process: designing systems that designers could actually use, not just look at; again, it was a wider conversation and concept around the future and how designers and machines can work together."

    In short, the evolution of the typeface system reflects the platform's broader commitment to continuous growth and adaptation." The whole idea was to make something open enough to keep building on," Daniel stresses. "We've already got tools in place to generate new weights, shapes and animated variants, and the tool itself still has a ton of unused functionality.
    "I can see that growing as new content strands emerge; we'll keep adapting the type with them," he adds. "It's less about version numbers and more about ongoing movement. The system's alive; that's the point.
    A provocation for the industry
    In this context, the Frontify Futures identity represents more than smart visual branding; it's also a manifesto for how creative systems might evolve in an age of increasing automation and systematisation. By building unpredictability into their tools, embracing the tension between human craft and machine precision, and creating systems that grow and adapt rather than merely scale, Daniel and the Frontify team have created something that feels genuinely forward-looking.
    For creatives grappling with similar questions about the future of their craft, Frontify Futures offers both inspiration and practical demonstration. It shows how brands can remain human while embracing technological capability, how systems can be both consistent and surprising, and how the future itself can become a creative medium.
    This clever approach suggests that the future of branding lies not in choosing between human creativity and systematic efficiency but in finding new ways to make them work together, creating something neither could achieve alone.
    #inside #thinking #behind #frontify #futures039
    Inside the thinking behind Frontify Futures' standout brand identity
    Who knows where branding will go in the future? However, for many of us working in the creative industries, it's our job to know. So it's something we need to start talking about, and Frontify Futures wants to be the platform where that conversation unfolds. This ambitious new thought leadership initiative from Frontify brings together an extraordinary coalition of voices—CMOs who've scaled global brands, creative leaders reimagining possibilities, strategy directors pioneering new approaches, and cultural forecasters mapping emerging opportunities—to explore how effectiveness, innovation, and scale will shape tomorrow's brand-building landscape. But Frontify Futures isn't just another content platform. Excitingly, from a design perspective, it's also a living experiment in what brand identity can become when technology meets craft, when systems embrace chaos, and when the future itself becomes a design material. Endless variation What makes Frontify Futures' typography unique isn't just its custom foundation: it's how that foundation enables endless variation and evolution. This was primarily achieved, reveals developer and digital art director Daniel Powell, by building bespoke tools for the project. "Rather than rely solely on streamlined tools built for speed and production, we started building our own," he explains. "The first was a node-based design tool that takes our custom Frame and Hairline fonts as a base and uses them as the foundations for our type generator. With it, we can generate unique type variations for each content strand—each article, even—and create both static and animated type, exportable as video or rendered live in the browser." Each of these tools included what Daniel calls a "chaos element: a small but intentional glitch in the system. A microstatement about the nature of the future: that it can be anticipated but never fully known. It's our way of keeping gesture alive inside the system." One of the clearest examples of this is the colour palette generator. "It samples from a dynamic photo grid tied to a rotating colour wheel that completes one full revolution per year," Daniel explains. "But here's the twist: wind speed and direction in St. Gallen, Switzerland—Frontify's HQ—nudges the wheel unpredictably off-centre. It's a subtle, living mechanic; each article contains a log of the wind data in its code as a kind of Easter Egg." Another favourite of Daniel's—yet to be released—is an expanded version of Conway's Game of Life. "It's been running continuously for over a month now, evolving patterns used in one of the content strand headers," he reveals. "The designer becomes a kind of photographer, capturing moments from a petri dish of generative motion." Core Philosophy In developing this unique identity, two phrases stood out to Daniel as guiding lights from the outset. The first was, 'We will show, not tell.' "This became the foundation for how we approached the identity," recalls Daniel. "It had to feel like a playground: open, experimental, and fluid. Not overly precious or prescriptive. A system the Frontify team could truly own, shape, and evolve. A platform, not a final product. A foundation, just as the future is always built on the past." The second guiding phrase, pulled directly from Frontify's rebrand materials, felt like "a call to action," says Daniel. "'Gestural and geometric. Human and machine. Art and science.' It's a tension that feels especially relevant in the creative industries today. As technology accelerates, we ask ourselves: how do we still hold onto our craft? What does it mean to be expressive in an increasingly systemised world?" Stripped back and skeletal typography The identity that Daniel and his team created reflects these themes through typography that literally embodies the platform's core philosophy. It really started from this idea of the past being built upon the 'foundations' of the past," he explains. "At the time Frontify Futures was being created, Frontify itself was going through a rebrand. With that, they'd started using a new variable typeface called Cranny, a custom cut of Azurio by Narrow Type." Daniel's team took Cranny and "pushed it into a stripped-back and almost skeletal take". The result was Crany-Frame and Crany-Hairline. "These fonts then served as our base scaffolding," he continues. "They were never seen in design, but instead, we applied decoration them to produce new typefaces for each content strand, giving the identity the space to grow and allow new ideas and shapes to form." As Daniel saw it, the demands on the typeface were pretty simple. "It needed to set an atmosphere. We needed it needed to feel alive. We wanted it to be something shifting and repositioning. And so, while we have a bunch of static cuts of each base style, we rarely use them; the typefaces you see on the website and social only exist at the moment as a string of parameters to create a general style that we use to create live animating versions of the font generated on the fly." In addition to setting the atmosphere, it needed to be extremely flexible and feature live inputs, as a significant part of the branding is about the unpredictability of the future. "So Daniel's team built in those aforementioned "chaos moments where everything from user interaction to live windspeeds can affect the font." Design Process The process of creating the typefaces is a fascinating one. "We started by working with the custom cut of Azuriofrom Narrow Type. We then redrew it to take inspiration from how a frame and a hairline could be produced from this original cut. From there, we built a type generation tool that uses them as a base. "It's a custom node-based system that lets us really get in there and play with the overlays for everything from grid-sizing, shapes and timing for the animation," he outlines. "We used this tool to design the variants for different content strands. We weren't just designing letterforms; we were designing a comprehensive toolset that could evolve in tandem with the content. "That became a big part of the process: designing systems that designers could actually use, not just look at; again, it was a wider conversation and concept around the future and how designers and machines can work together." In short, the evolution of the typeface system reflects the platform's broader commitment to continuous growth and adaptation." The whole idea was to make something open enough to keep building on," Daniel stresses. "We've already got tools in place to generate new weights, shapes and animated variants, and the tool itself still has a ton of unused functionality. "I can see that growing as new content strands emerge; we'll keep adapting the type with them," he adds. "It's less about version numbers and more about ongoing movement. The system's alive; that's the point. A provocation for the industry In this context, the Frontify Futures identity represents more than smart visual branding; it's also a manifesto for how creative systems might evolve in an age of increasing automation and systematisation. By building unpredictability into their tools, embracing the tension between human craft and machine precision, and creating systems that grow and adapt rather than merely scale, Daniel and the Frontify team have created something that feels genuinely forward-looking. For creatives grappling with similar questions about the future of their craft, Frontify Futures offers both inspiration and practical demonstration. It shows how brands can remain human while embracing technological capability, how systems can be both consistent and surprising, and how the future itself can become a creative medium. This clever approach suggests that the future of branding lies not in choosing between human creativity and systematic efficiency but in finding new ways to make them work together, creating something neither could achieve alone. #inside #thinking #behind #frontify #futures039
    WWW.CREATIVEBOOM.COM
    Inside the thinking behind Frontify Futures' standout brand identity
    Who knows where branding will go in the future? However, for many of us working in the creative industries, it's our job to know. So it's something we need to start talking about, and Frontify Futures wants to be the platform where that conversation unfolds. This ambitious new thought leadership initiative from Frontify brings together an extraordinary coalition of voices—CMOs who've scaled global brands, creative leaders reimagining possibilities, strategy directors pioneering new approaches, and cultural forecasters mapping emerging opportunities—to explore how effectiveness, innovation, and scale will shape tomorrow's brand-building landscape. But Frontify Futures isn't just another content platform. Excitingly, from a design perspective, it's also a living experiment in what brand identity can become when technology meets craft, when systems embrace chaos, and when the future itself becomes a design material. Endless variation What makes Frontify Futures' typography unique isn't just its custom foundation: it's how that foundation enables endless variation and evolution. This was primarily achieved, reveals developer and digital art director Daniel Powell, by building bespoke tools for the project. "Rather than rely solely on streamlined tools built for speed and production, we started building our own," he explains. "The first was a node-based design tool that takes our custom Frame and Hairline fonts as a base and uses them as the foundations for our type generator. With it, we can generate unique type variations for each content strand—each article, even—and create both static and animated type, exportable as video or rendered live in the browser." Each of these tools included what Daniel calls a "chaos element: a small but intentional glitch in the system. A microstatement about the nature of the future: that it can be anticipated but never fully known. It's our way of keeping gesture alive inside the system." One of the clearest examples of this is the colour palette generator. "It samples from a dynamic photo grid tied to a rotating colour wheel that completes one full revolution per year," Daniel explains. "But here's the twist: wind speed and direction in St. Gallen, Switzerland—Frontify's HQ—nudges the wheel unpredictably off-centre. It's a subtle, living mechanic; each article contains a log of the wind data in its code as a kind of Easter Egg." Another favourite of Daniel's—yet to be released—is an expanded version of Conway's Game of Life. "It's been running continuously for over a month now, evolving patterns used in one of the content strand headers," he reveals. "The designer becomes a kind of photographer, capturing moments from a petri dish of generative motion." Core Philosophy In developing this unique identity, two phrases stood out to Daniel as guiding lights from the outset. The first was, 'We will show, not tell.' "This became the foundation for how we approached the identity," recalls Daniel. "It had to feel like a playground: open, experimental, and fluid. Not overly precious or prescriptive. A system the Frontify team could truly own, shape, and evolve. A platform, not a final product. A foundation, just as the future is always built on the past." The second guiding phrase, pulled directly from Frontify's rebrand materials, felt like "a call to action," says Daniel. "'Gestural and geometric. Human and machine. Art and science.' It's a tension that feels especially relevant in the creative industries today. As technology accelerates, we ask ourselves: how do we still hold onto our craft? What does it mean to be expressive in an increasingly systemised world?" Stripped back and skeletal typography The identity that Daniel and his team created reflects these themes through typography that literally embodies the platform's core philosophy. It really started from this idea of the past being built upon the 'foundations' of the past," he explains. "At the time Frontify Futures was being created, Frontify itself was going through a rebrand. With that, they'd started using a new variable typeface called Cranny, a custom cut of Azurio by Narrow Type." Daniel's team took Cranny and "pushed it into a stripped-back and almost skeletal take". The result was Crany-Frame and Crany-Hairline. "These fonts then served as our base scaffolding," he continues. "They were never seen in design, but instead, we applied decoration them to produce new typefaces for each content strand, giving the identity the space to grow and allow new ideas and shapes to form." As Daniel saw it, the demands on the typeface were pretty simple. "It needed to set an atmosphere. We needed it needed to feel alive. We wanted it to be something shifting and repositioning. And so, while we have a bunch of static cuts of each base style, we rarely use them; the typefaces you see on the website and social only exist at the moment as a string of parameters to create a general style that we use to create live animating versions of the font generated on the fly." In addition to setting the atmosphere, it needed to be extremely flexible and feature live inputs, as a significant part of the branding is about the unpredictability of the future. "So Daniel's team built in those aforementioned "chaos moments where everything from user interaction to live windspeeds can affect the font." Design Process The process of creating the typefaces is a fascinating one. "We started by working with the custom cut of Azurio (Cranny) from Narrow Type. We then redrew it to take inspiration from how a frame and a hairline could be produced from this original cut. From there, we built a type generation tool that uses them as a base. "It's a custom node-based system that lets us really get in there and play with the overlays for everything from grid-sizing, shapes and timing for the animation," he outlines. "We used this tool to design the variants for different content strands. We weren't just designing letterforms; we were designing a comprehensive toolset that could evolve in tandem with the content. "That became a big part of the process: designing systems that designers could actually use, not just look at; again, it was a wider conversation and concept around the future and how designers and machines can work together." In short, the evolution of the typeface system reflects the platform's broader commitment to continuous growth and adaptation." The whole idea was to make something open enough to keep building on," Daniel stresses. "We've already got tools in place to generate new weights, shapes and animated variants, and the tool itself still has a ton of unused functionality. "I can see that growing as new content strands emerge; we'll keep adapting the type with them," he adds. "It's less about version numbers and more about ongoing movement. The system's alive; that's the point. A provocation for the industry In this context, the Frontify Futures identity represents more than smart visual branding; it's also a manifesto for how creative systems might evolve in an age of increasing automation and systematisation. By building unpredictability into their tools, embracing the tension between human craft and machine precision, and creating systems that grow and adapt rather than merely scale, Daniel and the Frontify team have created something that feels genuinely forward-looking. For creatives grappling with similar questions about the future of their craft, Frontify Futures offers both inspiration and practical demonstration. It shows how brands can remain human while embracing technological capability, how systems can be both consistent and surprising, and how the future itself can become a creative medium. This clever approach suggests that the future of branding lies not in choosing between human creativity and systematic efficiency but in finding new ways to make them work together, creating something neither could achieve alone.
    0 Comments 0 Shares 0 Reviews
  • Free alternatives to Photoshop, Office, Premiere, and Netflix

    You don't have to go for the paid software options. Image: Timothy Exodus/Unsplash

    Get the Popular Science daily newsletter
    Breakthroughs, discoveries, and DIY tips sent every weekday.

    Most of us are signed up to plenty of digital subscriptions, covering streaming services, cloud storage, fitness apps, and plenty more. This extends to software subscriptions, too: Both Adobe Photoshop and Microsoft Officeask for monthly or yearly subscriptions if you want to stay up to date.
    Add up here and there and you can soon find yourself paying out more each week than you want. What you might not know is that for just about every paid software program out there, there’s a perfectly adequate and free replacement—so you can cut your dependency on software subscriptions right down.
    GIMP is an image editor packed with features. Screenshot: GIMP
    The rather oddly named GIMP—it stands for GNU Image Manipulation Program—is a head-on challenger to Adobe Photoshop, with a lot of the same advanced features on offer across object selections and manipulations, layers, and effects. GIMP doesn’t have as much AI stuffed into it as Photoshop does, but you might see that as a benefit.
    Whether you want to touch up and enhance the photos you’ve taken, or you want to create digital art, GIMP can handle it all. Open up the software and you’ll see you get a wealth of tools to play around with; there are plenty of third-party extensions and customizations available too—plus lots of tutorials and more help on the web.
    Download GIMP for Windows or macOS.
    LibreOffice Writer is a solid alternative to Microsoft Word. Screenshot: LibreOffice
    Microsoft Office is now called Microsoft 365, but however you refer to it, it’s anchored by Word, Excel, and PowerPoint. While Microsoft asks for a one-off fee or regular subscription, you can use LibreOffice completely free of charge—including the equivalent apps Writer, Calc, and Impress.
    If you have any experience using the Microsoft apps, you’ll feel right at home inside the LibreOffice apps—and they can import and export using Office file formats too. And just because you’re not paying for the software doesn’t mean you’re missing out on features, because these programs come backed with a host of useful options and tools.
    Download LibreOffice for Windows or macOS.
    Watch as much as you want on Tubi, for free. Screenshot: Tubi
    When it comes to movies and shows, there are plenty of services that will charge you a fee for access, including Netflix. Not so Tubi, which is completely funded by ads. Okay, it might not have the latest and greatest selection of titles, but there’s still plenty to watch, completely free. You aren’t going to run out of viewing material anytime soon.
    Tubi is one of a growing number of FAST streaming services, which stands for free ad-supported streaming television; others you might want to check out include Pluto TV and the Roku Channel. While content on these platforms is usually older than on the alternatives, you’ll probably be surprised at how much good stuff there is.
    Watch Tubi on the web, or on Android or iOS.
    Use KeePass as your password manager
    KeePass is a simple, straightforward password manager. Screenshot: KeePass
    We’ve written before about the benefits of using a password manager, but most of them require a subscription to use all of their features. If a password manager offers a free plan at all, it usually restricts how many passwords you can save or how many devices you can sync between, or apply some other limitations.
    KeePass is different, as it’s completely free and open source. It comes with plenty of features to keep your passwords private and secure, and while there’s only an official version for Windows, there are several unofficial ports so you can sync your passwords across macOS, Android, and iOS too.
    Download KeePass for Windows.
    Create videos with ease with OpenShot. Screenshot: OpenShot
    We’ll finish where we started, with an alternative to a program from the Adobe Creative Cloud suite. Unless you’re a professional filmmaker who needs the very best in industry-standard tools, OpenShot will give you everything you need in video editing features and options, and it’s capable of some impressive results.
    The extensive list includes support for key frame animations, an unlimited number of tracks, easy-to-use scaling and trimming tools, compositing, image overlays, title creating, and support for a broad range of video, audio, and image formats. Despite all of those features and more, you won’t find it difficult to use.
    Download OpenShot for Windows or macOS.
    #free #alternatives #photoshop #office #premiere
    Free alternatives to Photoshop, Office, Premiere, and Netflix
    You don't have to go for the paid software options. Image: Timothy Exodus/Unsplash Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. Most of us are signed up to plenty of digital subscriptions, covering streaming services, cloud storage, fitness apps, and plenty more. This extends to software subscriptions, too: Both Adobe Photoshop and Microsoft Officeask for monthly or yearly subscriptions if you want to stay up to date. Add up here and there and you can soon find yourself paying out more each week than you want. What you might not know is that for just about every paid software program out there, there’s a perfectly adequate and free replacement—so you can cut your dependency on software subscriptions right down. GIMP is an image editor packed with features. Screenshot: GIMP The rather oddly named GIMP—it stands for GNU Image Manipulation Program—is a head-on challenger to Adobe Photoshop, with a lot of the same advanced features on offer across object selections and manipulations, layers, and effects. GIMP doesn’t have as much AI stuffed into it as Photoshop does, but you might see that as a benefit. Whether you want to touch up and enhance the photos you’ve taken, or you want to create digital art, GIMP can handle it all. Open up the software and you’ll see you get a wealth of tools to play around with; there are plenty of third-party extensions and customizations available too—plus lots of tutorials and more help on the web. Download GIMP for Windows or macOS. LibreOffice Writer is a solid alternative to Microsoft Word. Screenshot: LibreOffice Microsoft Office is now called Microsoft 365, but however you refer to it, it’s anchored by Word, Excel, and PowerPoint. While Microsoft asks for a one-off fee or regular subscription, you can use LibreOffice completely free of charge—including the equivalent apps Writer, Calc, and Impress. If you have any experience using the Microsoft apps, you’ll feel right at home inside the LibreOffice apps—and they can import and export using Office file formats too. And just because you’re not paying for the software doesn’t mean you’re missing out on features, because these programs come backed with a host of useful options and tools. Download LibreOffice for Windows or macOS. Watch as much as you want on Tubi, for free. Screenshot: Tubi When it comes to movies and shows, there are plenty of services that will charge you a fee for access, including Netflix. Not so Tubi, which is completely funded by ads. Okay, it might not have the latest and greatest selection of titles, but there’s still plenty to watch, completely free. You aren’t going to run out of viewing material anytime soon. Tubi is one of a growing number of FAST streaming services, which stands for free ad-supported streaming television; others you might want to check out include Pluto TV and the Roku Channel. While content on these platforms is usually older than on the alternatives, you’ll probably be surprised at how much good stuff there is. Watch Tubi on the web, or on Android or iOS. Use KeePass as your password manager KeePass is a simple, straightforward password manager. Screenshot: KeePass We’ve written before about the benefits of using a password manager, but most of them require a subscription to use all of their features. If a password manager offers a free plan at all, it usually restricts how many passwords you can save or how many devices you can sync between, or apply some other limitations. KeePass is different, as it’s completely free and open source. It comes with plenty of features to keep your passwords private and secure, and while there’s only an official version for Windows, there are several unofficial ports so you can sync your passwords across macOS, Android, and iOS too. Download KeePass for Windows. Create videos with ease with OpenShot. Screenshot: OpenShot We’ll finish where we started, with an alternative to a program from the Adobe Creative Cloud suite. Unless you’re a professional filmmaker who needs the very best in industry-standard tools, OpenShot will give you everything you need in video editing features and options, and it’s capable of some impressive results. The extensive list includes support for key frame animations, an unlimited number of tracks, easy-to-use scaling and trimming tools, compositing, image overlays, title creating, and support for a broad range of video, audio, and image formats. Despite all of those features and more, you won’t find it difficult to use. Download OpenShot for Windows or macOS. #free #alternatives #photoshop #office #premiere
    WWW.POPSCI.COM
    Free alternatives to Photoshop, Office, Premiere, and Netflix
    You don't have to go for the paid software options. Image: Timothy Exodus/Unsplash Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. Most of us are signed up to plenty of digital subscriptions, covering streaming services, cloud storage, fitness apps, and plenty more. This extends to software subscriptions, too: Both Adobe Photoshop and Microsoft Office (now Microsoft 365) ask for monthly or yearly subscriptions if you want to stay up to date. Add up $5 here and $10 there and you can soon find yourself paying out more each week than you want. What you might not know is that for just about every paid software program out there, there’s a perfectly adequate and free replacement—so you can cut your dependency on software subscriptions right down. GIMP is an image editor packed with features. Screenshot: GIMP The rather oddly named GIMP—it stands for GNU Image Manipulation Program—is a head-on challenger to Adobe Photoshop, with a lot of the same advanced features on offer across object selections and manipulations, layers, and effects. GIMP doesn’t have as much AI stuffed into it as Photoshop does, but you might see that as a benefit. Whether you want to touch up and enhance the photos you’ve taken, or you want to create digital art, GIMP can handle it all. Open up the software and you’ll see you get a wealth of tools to play around with; there are plenty of third-party extensions and customizations available too—plus lots of tutorials and more help on the web. Download GIMP for Windows or macOS. LibreOffice Writer is a solid alternative to Microsoft Word. Screenshot: LibreOffice Microsoft Office is now called Microsoft 365, but however you refer to it, it’s anchored by Word, Excel, and PowerPoint. While Microsoft asks for a one-off fee or regular subscription, you can use LibreOffice completely free of charge—including the equivalent apps Writer (documents), Calc (spreadsheets), and Impress (presentations). If you have any experience using the Microsoft apps, you’ll feel right at home inside the LibreOffice apps—and they can import and export using Office file formats too. And just because you’re not paying for the software doesn’t mean you’re missing out on features, because these programs come backed with a host of useful options and tools. Download LibreOffice for Windows or macOS. Watch as much as you want on Tubi, for free. Screenshot: Tubi When it comes to movies and shows, there are plenty of services that will charge you a fee for access, including Netflix. Not so Tubi, which is completely funded by ads. Okay, it might not have the latest and greatest selection of titles, but there’s still plenty to watch, completely free. You aren’t going to run out of viewing material anytime soon. Tubi is one of a growing number of FAST streaming services, which stands for free ad-supported streaming television; others you might want to check out include Pluto TV and the Roku Channel. While content on these platforms is usually older than on the alternatives, you’ll probably be surprised at how much good stuff there is. Watch Tubi on the web, or on Android or iOS. Use KeePass as your password manager KeePass is a simple, straightforward password manager. Screenshot: KeePass We’ve written before about the benefits of using a password manager, but most of them require a subscription to use all of their features. If a password manager offers a free plan at all, it usually restricts how many passwords you can save or how many devices you can sync between, or apply some other limitations. KeePass is different, as it’s completely free and open source (so you can look at the source code yourself, if you wish). It comes with plenty of features to keep your passwords private and secure, and while there’s only an official version for Windows, there are several unofficial ports so you can sync your passwords across macOS, Android, and iOS too. Download KeePass for Windows. Create videos with ease with OpenShot. Screenshot: OpenShot We’ll finish where we started, with an alternative to a program from the Adobe Creative Cloud suite. Unless you’re a professional filmmaker who needs the very best in industry-standard tools, OpenShot will give you everything you need in video editing features and options, and it’s capable of some impressive results. The extensive list includes support for key frame animations, an unlimited number of tracks, easy-to-use scaling and trimming tools, compositing, image overlays, title creating (including 3D titles), and support for a broad range of video, audio, and image formats. Despite all of those features and more, you won’t find it difficult to use. Download OpenShot for Windows or macOS.
    0 Comments 0 Shares 0 Reviews
  • How To Create & Animate Breakdance-Inspired Streetwear

    IntroductionHi, my name is Pankaj Kholiya, and I am a Senior 3D Character Artist. I've been working in the game industry for the past 8 years. I worked on titles like Call of Duty: Black Ops 6, That Christmas, Ghost of Tsushima Director's Cut, Star Wars: Outlaws, Alan Wake 2, Street Fighter 6, and many more. Currently, I'm working as a freelancer for the gaming and cinematics industry.Since my last interview, I made a few personal works, was a part of a Netflix movie, That Christmas, and worked with Platige on Star Wars: Outlaws and Call of Duty: Black Ops 6 cinematic.The Breakdancing Clothing ProjectIt all started when I witnessed a dance battle that a friend organized. It was like watching Step Up live. There, I got the inspiration to create a break dancer. I started by gathering different references from the internet. I found one particular image on Pinterest and decided to recreate it in 3D.At first, the idea was to create the outfit in one pose, but along the way, I also decided to create a dancing version of the character and explore Unreal Engine. Here is the ref I used for the dancing version:Getting StartedFor the upcoming talents, I'll try to describe my process in a few points. Even before starting Marvelous Designer, I made sure to have my base character ready for animation and simulation. This time, I decided to use the MetaHuman creator for the base due to its high-quality textures and materials. My primary focus was on the clothing, so using MetaHuman saved a lot of time.After I was satisfied with how my MetaHuman looked, I took it to Mixamo to get some animations. I was really impressed by how good the animations worked on the MetaHuman. Once I had the animations, I took the animation into Marvelous Designer and simulated the clothes.For the posed character, I adjusted the rig to match the pose like the reference and used the same method as in this tutorial to pose the character:ClothingFor this particular project, I didn't focus on the topology as it was just for a single render. I just packed the UVs in Marvelous Designer, exported the quad mesh from Marvelous Designer, subdivided it a few times, and started working on the detailing part in ZBrush.For the texture, I used the low-division mesh from the ZBrush file, as I already had the UVs on it. I then baked the normal and other maps on it and took it to Substance 3D Painter.AnimationThere are multiple ways to animate the metahuman character. For this project, I've used Mixamo. I imported my character into Mixamo, selected the animation I liked, and exported it. After that, I just imported it to Marvelous Designer and hit the simulation button. You can check my previous breakdown for the Mixamo pipeline.Once happy with the result, I exported the simulated cloth as an Alembic to Unreal Engine. Tutorial for importing clothes into Unreal Engine:Lighting & RenderingThe main target was to match the lighting closely to the reference. This was my first project in Unreal Engine, so I wanted to explore the lighting and see how far I could go with it. Being new to the Unreal Engine, I went through a lot of tutorials. Here are the lights I've used for the posed version:For the dancing version, I've created a stage like the ref from the Step Up movie: Some tips I found useful for the rendering are in the video below:ConclusionAt first, I had a clear direction for this project and was confident in my skills to tackle the art aspect of it. But things changed when I dived into Unreal Engine for my presentation. More than half the time on this project went into learning and getting used to Unreal Engine. I don't regret a single second I invested in Unreal, as it was a new experience. It took around 15 days to wrap this one up.The lesson I learned is that upgrading your knowledge and learning new things will help you grow as an artist in the long run. Approaching how you make an artwork has changed a lot ever since I started 3D, and adapting to the changing art environment is a good thing. Here are some recommendations if you are interested in learning Unreal Engine.Pankaj Kholiya, Senior 3D Character ArtistInterview conducted by Amber Rutherford
    #how #create #ampamp #animate #breakdanceinspired
    How To Create & Animate Breakdance-Inspired Streetwear
    IntroductionHi, my name is Pankaj Kholiya, and I am a Senior 3D Character Artist. I've been working in the game industry for the past 8 years. I worked on titles like Call of Duty: Black Ops 6, That Christmas, Ghost of Tsushima Director's Cut, Star Wars: Outlaws, Alan Wake 2, Street Fighter 6, and many more. Currently, I'm working as a freelancer for the gaming and cinematics industry.Since my last interview, I made a few personal works, was a part of a Netflix movie, That Christmas, and worked with Platige on Star Wars: Outlaws and Call of Duty: Black Ops 6 cinematic.The Breakdancing Clothing ProjectIt all started when I witnessed a dance battle that a friend organized. It was like watching Step Up live. There, I got the inspiration to create a break dancer. I started by gathering different references from the internet. I found one particular image on Pinterest and decided to recreate it in 3D.At first, the idea was to create the outfit in one pose, but along the way, I also decided to create a dancing version of the character and explore Unreal Engine. Here is the ref I used for the dancing version:Getting StartedFor the upcoming talents, I'll try to describe my process in a few points. Even before starting Marvelous Designer, I made sure to have my base character ready for animation and simulation. This time, I decided to use the MetaHuman creator for the base due to its high-quality textures and materials. My primary focus was on the clothing, so using MetaHuman saved a lot of time.After I was satisfied with how my MetaHuman looked, I took it to Mixamo to get some animations. I was really impressed by how good the animations worked on the MetaHuman. Once I had the animations, I took the animation into Marvelous Designer and simulated the clothes.For the posed character, I adjusted the rig to match the pose like the reference and used the same method as in this tutorial to pose the character:ClothingFor this particular project, I didn't focus on the topology as it was just for a single render. I just packed the UVs in Marvelous Designer, exported the quad mesh from Marvelous Designer, subdivided it a few times, and started working on the detailing part in ZBrush.For the texture, I used the low-division mesh from the ZBrush file, as I already had the UVs on it. I then baked the normal and other maps on it and took it to Substance 3D Painter.AnimationThere are multiple ways to animate the metahuman character. For this project, I've used Mixamo. I imported my character into Mixamo, selected the animation I liked, and exported it. After that, I just imported it to Marvelous Designer and hit the simulation button. You can check my previous breakdown for the Mixamo pipeline.Once happy with the result, I exported the simulated cloth as an Alembic to Unreal Engine. Tutorial for importing clothes into Unreal Engine:Lighting & RenderingThe main target was to match the lighting closely to the reference. This was my first project in Unreal Engine, so I wanted to explore the lighting and see how far I could go with it. Being new to the Unreal Engine, I went through a lot of tutorials. Here are the lights I've used for the posed version:For the dancing version, I've created a stage like the ref from the Step Up movie: Some tips I found useful for the rendering are in the video below:ConclusionAt first, I had a clear direction for this project and was confident in my skills to tackle the art aspect of it. But things changed when I dived into Unreal Engine for my presentation. More than half the time on this project went into learning and getting used to Unreal Engine. I don't regret a single second I invested in Unreal, as it was a new experience. It took around 15 days to wrap this one up.The lesson I learned is that upgrading your knowledge and learning new things will help you grow as an artist in the long run. Approaching how you make an artwork has changed a lot ever since I started 3D, and adapting to the changing art environment is a good thing. Here are some recommendations if you are interested in learning Unreal Engine.Pankaj Kholiya, Senior 3D Character ArtistInterview conducted by Amber Rutherford #how #create #ampamp #animate #breakdanceinspired
    80.LV
    How To Create & Animate Breakdance-Inspired Streetwear
    IntroductionHi, my name is Pankaj Kholiya, and I am a Senior 3D Character Artist. I've been working in the game industry for the past 8 years. I worked on titles like Call of Duty: Black Ops 6, That Christmas, Ghost of Tsushima Director's Cut, Star Wars: Outlaws, Alan Wake 2, Street Fighter 6, and many more. Currently, I'm working as a freelancer for the gaming and cinematics industry.Since my last interview, I made a few personal works, was a part of a Netflix movie, That Christmas, and worked with Platige on Star Wars: Outlaws and Call of Duty: Black Ops 6 cinematic.The Breakdancing Clothing ProjectIt all started when I witnessed a dance battle that a friend organized. It was like watching Step Up live. There, I got the inspiration to create a break dancer. I started by gathering different references from the internet. I found one particular image on Pinterest and decided to recreate it in 3D.At first, the idea was to create the outfit in one pose, but along the way, I also decided to create a dancing version of the character and explore Unreal Engine. Here is the ref I used for the dancing version:Getting StartedFor the upcoming talents, I'll try to describe my process in a few points. Even before starting Marvelous Designer, I made sure to have my base character ready for animation and simulation. This time, I decided to use the MetaHuman creator for the base due to its high-quality textures and materials. My primary focus was on the clothing, so using MetaHuman saved a lot of time.After I was satisfied with how my MetaHuman looked, I took it to Mixamo to get some animations. I was really impressed by how good the animations worked on the MetaHuman. Once I had the animations, I took the animation into Marvelous Designer and simulated the clothes.For the posed character, I adjusted the rig to match the pose like the reference and used the same method as in this tutorial to pose the character:ClothingFor this particular project, I didn't focus on the topology as it was just for a single render. I just packed the UVs in Marvelous Designer, exported the quad mesh from Marvelous Designer, subdivided it a few times, and started working on the detailing part in ZBrush.For the texture, I used the low-division mesh from the ZBrush file, as I already had the UVs on it. I then baked the normal and other maps on it and took it to Substance 3D Painter.AnimationThere are multiple ways to animate the metahuman character. For this project, I've used Mixamo. I imported my character into Mixamo, selected the animation I liked, and exported it. After that, I just imported it to Marvelous Designer and hit the simulation button. You can check my previous breakdown for the Mixamo pipeline.Once happy with the result, I exported the simulated cloth as an Alembic to Unreal Engine. Tutorial for importing clothes into Unreal Engine:Lighting & RenderingThe main target was to match the lighting closely to the reference. This was my first project in Unreal Engine, so I wanted to explore the lighting and see how far I could go with it. Being new to the Unreal Engine, I went through a lot of tutorials. Here are the lights I've used for the posed version:For the dancing version, I've created a stage like the ref from the Step Up movie: Some tips I found useful for the rendering are in the video below:ConclusionAt first, I had a clear direction for this project and was confident in my skills to tackle the art aspect of it. But things changed when I dived into Unreal Engine for my presentation. More than half the time on this project went into learning and getting used to Unreal Engine. I don't regret a single second I invested in Unreal, as it was a new experience. It took around 15 days to wrap this one up.The lesson I learned is that upgrading your knowledge and learning new things will help you grow as an artist in the long run. Approaching how you make an artwork has changed a lot ever since I started 3D, and adapting to the changing art environment is a good thing. Here are some recommendations if you are interested in learning Unreal Engine.Pankaj Kholiya, Senior 3D Character ArtistInterview conducted by Amber Rutherford
    0 Comments 0 Shares 0 Reviews
  • Cape to Cairo: the making and unmaking of colonial road networks

    In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.  
    The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west. 
    Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa. This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism. 
    Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black

    The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area, established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent. 
    Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent. 
    ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’
    However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970. 
    Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction. 
    The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell
    Credit: Fox Photos / Getty
    The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire
    Credit: Library of Congress, Geography and Map Division
    This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated. 
    These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism. 
    Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship. 
    Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968
    Credit: Associated Press / Alamy
    The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism

    At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps

    There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’. 
    But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise.

    2025-06-13
    Kristina Rapacki

    Share
    #cape #cairo #making #unmaking #colonial
    Cape to Cairo: the making and unmaking of colonial road networks
    In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.   The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west.  Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa. This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism.  Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area, established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent.  Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent.  ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’ However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970.  Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction.  The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell Credit: Fox Photos / Getty The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire Credit: Library of Congress, Geography and Map Division This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated.  These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism.  Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship.  Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968 Credit: Associated Press / Alamy The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’.  But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise. 2025-06-13 Kristina Rapacki Share #cape #cairo #making #unmaking #colonial
    WWW.ARCHITECTURAL-REVIEW.COM
    Cape to Cairo: the making and unmaking of colonial road networks
    In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.   The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west.  Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa (UNECA). This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism.  Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area (AfCFTA), established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway (TAH) 4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent.  Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent.  ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’ However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970.  Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction.  The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell Credit: Fox Photos / Getty The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire Credit: Library of Congress, Geography and Map Division This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated.  These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism.  Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship.  Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968 Credit: Associated Press / Alamy The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’.  But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise. 2025-06-13 Kristina Rapacki Share
    Love
    1
    0 Comments 0 Shares 0 Reviews
  • Two Unreal & Unity Asset Bundles

    Two Unreal & Unity Asset Bundles / News / June 14, 2025 /

    There are a pair of asset bundles for game developers on Gumroad from Leartes, the Summertime Unreal Engine Assets Bundle and the Summertime Unity Assets Bundle. Make sure you use code S60 at checkout to drop the price from to ! As you can see from the video below with assets running in the Godot game engine, the assets can easily be exported to other game enginesand there are a number of handy guides below.
    Summertime Unreal Asset Bundle Contents:
    Environments:

    Dark Medieval Environment Megapack
    Modular English Mansion Environment
    Demonic Village Environment
    Stylized Wild West Environment
    Haunted Prison Environment
    Medieval Village Environment
    Forgotten Echoes Environment
    Desert Planet Environment
    Fire Watch Tower Environment
    Medieval Russian Village Environment
    Oriental Building Environment
    Horror MansionMadrid Street Environment
    Bowling Alley
    Stylized Countryside
    English Cottage Interior
    Stylized Eastern Province Environment

    Tools and Other Assets:

    Ultimate Lighting and Camera ToolUltimate Level Art Tool
    Cosmos 50% Discount Coupon
    Cosmos One month Subscription
    SFX Character Movement
    SFX Cyberpunk Guns
    Cosmos Rocket PluginVFX Explosion
    VFX Blood
    SUV 04
    SUV 01 Driveable / Animated / Realistic

    Summer Time Unity Asset Bundle Contents:
    Environments:

    Dark Medieval Village Environment MegapackModular English Mansion Environment
    Demonic Village Environment
    Medieval Village Environment / Camelot
    Fire Watch Tower Environment
    Abandoned Horror Mansion Interior
    Bowling Alley Environment
    Stylized Countryside
    Spanish Cottage Environment
    Chinese Alley Environment
    Tortuga Lighthouse Island
    Ramen Restaurant Environment
    Stylized Lowpoly Cyberpunk City
    Stylized Japanese Shrine Environment
    French Quarter Street Environment
    Will’s Room Environment
    Witch Village Environment
    Office Corridor Environment
    Neptune’s Roman Bath
    Vintage Bar Interior Environment

    Tools and Other Assets:

    Cosmos 50% Discount Coupon
    Cosmos One month Subscription
    SFX Character Movement
    SFX Cyberpunk Guns

    If you are looking at using the Unreal or Unity assets in another game engine, be sure to check out the following conversion guides:
    You can learn more about the Unity and Unreal Engine asset bundles in the video below. Once again, be sure to use the code S60 at checkout. Using links on this page helps support GFS
    #two #unreal #ampamp #unity #asset
    Two Unreal & Unity Asset Bundles
    Two Unreal & Unity Asset Bundles / News / June 14, 2025 / There are a pair of asset bundles for game developers on Gumroad from Leartes, the Summertime Unreal Engine Assets Bundle and the Summertime Unity Assets Bundle. Make sure you use code S60 at checkout to drop the price from to ! As you can see from the video below with assets running in the Godot game engine, the assets can easily be exported to other game enginesand there are a number of handy guides below. Summertime Unreal Asset Bundle Contents: Environments: Dark Medieval Environment Megapack Modular English Mansion Environment Demonic Village Environment Stylized Wild West Environment Haunted Prison Environment Medieval Village Environment Forgotten Echoes Environment Desert Planet Environment Fire Watch Tower Environment Medieval Russian Village Environment Oriental Building Environment Horror MansionMadrid Street Environment Bowling Alley Stylized Countryside English Cottage Interior Stylized Eastern Province Environment Tools and Other Assets: Ultimate Lighting and Camera ToolUltimate Level Art Tool Cosmos 50% Discount Coupon Cosmos One month Subscription SFX Character Movement SFX Cyberpunk Guns Cosmos Rocket PluginVFX Explosion VFX Blood SUV 04 SUV 01 Driveable / Animated / Realistic Summer Time Unity Asset Bundle Contents: Environments: Dark Medieval Village Environment MegapackModular English Mansion Environment Demonic Village Environment Medieval Village Environment / Camelot Fire Watch Tower Environment Abandoned Horror Mansion Interior Bowling Alley Environment Stylized Countryside Spanish Cottage Environment Chinese Alley Environment Tortuga Lighthouse Island Ramen Restaurant Environment Stylized Lowpoly Cyberpunk City Stylized Japanese Shrine Environment French Quarter Street Environment Will’s Room Environment Witch Village Environment Office Corridor Environment Neptune’s Roman Bath Vintage Bar Interior Environment Tools and Other Assets: Cosmos 50% Discount Coupon Cosmos One month Subscription SFX Character Movement SFX Cyberpunk Guns If you are looking at using the Unreal or Unity assets in another game engine, be sure to check out the following conversion guides: You can learn more about the Unity and Unreal Engine asset bundles in the video below. Once again, be sure to use the code S60 at checkout. Using links on this page helps support GFS #two #unreal #ampamp #unity #asset
    GAMEFROMSCRATCH.COM
    Two Unreal & Unity Asset Bundles
    Two Unreal & Unity Asset Bundles / News / June 14, 2025 / There are a pair of asset bundles for game developers on Gumroad from Leartes, the Summertime Unreal Engine Assets Bundle and the Summertime Unity Assets Bundle. Make sure you use code S60 at checkout to drop the price from $99 to $39! As you can see from the video below with assets running in the Godot game engine, the assets can easily be exported to other game engines (especially from the Unreal Engine bundle) and there are a number of handy guides below. Summertime Unreal Asset Bundle Contents: Environments: Dark Medieval Environment Megapack Modular English Mansion Environment Demonic Village Environment Stylized Wild West Environment Haunted Prison Environment Medieval Village Environment Forgotten Echoes Environment Desert Planet Environment Fire Watch Tower Environment Medieval Russian Village Environment Oriental Building Environment Horror Mansion (Abandoned Grand Mansion, Exterior + Interior, Modular) Madrid Street Environment Bowling Alley Stylized Countryside English Cottage Interior Stylized Eastern Province Environment Tools and Other Assets: Ultimate Lighting and Camera Tool (ULCT, Unreal Engine Plugin) Ultimate Level Art Tool Cosmos 50% Discount Coupon Cosmos One month Subscription SFX Character Movement SFX Cyberpunk Guns Cosmos Rocket Plugin (Drag and Drop to Unreal Engine Plugin) VFX Explosion VFX Blood SUV 04 SUV 01 Driveable / Animated / Realistic Summer Time Unity Asset Bundle Contents: Environments: Dark Medieval Village Environment Megapack (Modular with Full Interiors) Modular English Mansion Environment Demonic Village Environment Medieval Village Environment / Camelot Fire Watch Tower Environment Abandoned Horror Mansion Interior Bowling Alley Environment Stylized Countryside Spanish Cottage Environment Chinese Alley Environment Tortuga Lighthouse Island Ramen Restaurant Environment Stylized Lowpoly Cyberpunk City Stylized Japanese Shrine Environment French Quarter Street Environment Will’s Room Environment Witch Village Environment Office Corridor Environment Neptune’s Roman Bath Vintage Bar Interior Environment Tools and Other Assets: Cosmos 50% Discount Coupon Cosmos One month Subscription SFX Character Movement SFX Cyberpunk Guns If you are looking at using the Unreal or Unity assets in another game engine, be sure to check out the following conversion guides: You can learn more about the Unity and Unreal Engine asset bundles in the video below. Once again, be sure to use the code S60 at checkout. Using links on this page helps support GFS (and thanks so much if you do!)
    0 Comments 0 Shares 0 Reviews
  • Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm

    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more

    When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development.
    What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute. 
    As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention.
    Engineering around constraints
    DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement.
    While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well.
    This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just million — less than 1.2% of OpenAI’s investment.
    If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate. Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development.
    That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently.
    This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing.
    Pragmatism over process
    Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process.
    The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of expertsarchitectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content.
    This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations. 
    Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance.
    Market reverberations
    Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders.
    Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI. 
    With OpenAI reportedly spending to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending billion or billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change.
    This economic reality prompted OpenAI to pursue a massive billion funding round that valued the company at an unprecedented billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s.
    Beyond model training
    Another significant trend accelerated by DeepSeek is the shift toward “test-time compute”. As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training.
    To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning”. This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards.
    The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM”. But, as with its model distillation approach, this could be considered a mix of promise and risk.
    For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted.
    At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of othersto create what is likely the first full-stack application of SPCT in a commercial effort.
    This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails.
    Moving into the future
    So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity. 
    Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market.
    Meta has also responded,
    With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail.
    Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching.
    Jae Lee is CEO and co-founder of TwelveLabs.

    Daily insights on business use cases with VB Daily
    If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.
    Read our Privacy Policy

    Thanks for subscribing. Check out more VB newsletters here.

    An error occured.
    #rethinking #deepseeks #playbook #shakes #highspend
    Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm
    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate. Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of expertsarchitectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending billion or billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive billion funding round that valued the company at an unprecedented billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute”. As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning”. This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM”. But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of othersto create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured. #rethinking #deepseeks #playbook #shakes #highspend
    VENTUREBEAT.COM
    Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm
    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere $6 million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent $500 million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just $5.6 million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate (even though it makes a good story). Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of experts (MoE) architectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending $7 to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending $7 billion or $8 billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive $40 billion funding round that valued the company at an unprecedented $300 billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute” (TTC). As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning” (SPCT). This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM” (generalist reward modeling). But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of others (think OpenAI’s “critique and revise” methods, Anthropic’s constitutional AI or research on self-rewarding agents) to create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately $80 billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
    0 Comments 0 Shares 0 Reviews
CGShares https://cgshares.com