The quintessential symbol of Manhattan, Waldorf Astoria New York officially reopened for the public this year after an extensive renovation. Over its long history, the property has undergone numerous transformations, from its 19th-century beginnings to the modern landmark that stands between Park Avenue and Lexington Avenue.
Reimagining a building that pioneered modern hospitality—a jewel in New York's skyline—posed a challenge that required close collaboration between preservationists, 3D visualizers, architects, and designers. Together, they worked to preserve its protected architectural heritage while meeting contemporary expectations for craftsmanship and comfort.
Snaptrude announced the launch of the Snaptrude Student Plan, a free offering that gives architecture students worldwide full access to Snaptrude's professional platform and intelligent AI workflows. The initiative reflects Snaptrude's commitment to strengthening architectural education and ensuring that emerging designers can build real-world skills while still in school. Full access to the professional platform and AI tools empowers students to design faster and build portfolio-ready work.
Architecture's design process has always been shaped by the tools at hand. We once drew with pen and ink on fragile sheets, copied by blueprint and guarded against smudges and tears; then Mylar arrived, making revisions and preservation easier and nudging drawings toward a leaner, more deliberate economy of lines. Computer-aided drafting followed, speeding coordination and changing how we think about scale and precision. Today, AI adds another layer—gathering information in seconds and spinning images on command—promising new efficiencies while raising fresh questions about authorship and craft. What we make, and how we make it, has evolved with each tool; the history of our methods is the history of our ideas.
Beginning in the post-war era, Mylar (developed in the 1950s) eased drawing reproduction and hastened the shift from blueprint to whiteprint processes. Before Mylar, simply preserving drawings—keeping an idea intact, legible, and undamaged—was a significant task. Post-war design priorities often leaned toward efficiency, simplicity, and an industrial minimalism aligned with reconstruction needs. The tools reinforced this: architectural work remained predominantly hand-drawn, where every line took time to lay down and even more time to erase. That labour sharpened the economy of drawing; each stroke had to earn its place.
Despite major breakthroughs in other industries, with tools like Cursor reshaping how software gets built, or AlphaFold revolutionizing protein structure prediction, AEC is still waiting on its defining AI moment. Yes, many visualization tools have made waves, especially when it comes to generating beautiful imagery. But they fall short when it comes to understanding the actual design process. They don't grasp the constraints, logic, and decisions that turn those visuals into real, buildable architecture.
And that's exactly where AI's most valuable use case in AEC lies: not in how a building looks, but in how it comes together.
Designing the next 'wow' project? It's like trying to catch lightning in a bottle—except with BIG and D5 Render, you're handed the jar. Bjarke Ingels Group (BIG), a global leader in architecture, is renowned for its bold designs and commitment to innovation. Constantly exploring new tools, BIG pushes the boundaries of design technology to optimize workflows and enhance creativity. With iconic projects worldwide, BIG has redefined architectural storytelling. By leveraging D5 Render's all-in-one platform, the firm has optimized its real-time design and visualization workflow, combining D5 rendering, animation, and AI to bring concepts to life with exceptional speed and precision.
The Phasing Animation feature in D5 Render 2.9 redefines how professionals present complex projects. It simplifies the creation of dynamic, step-by-step visualizations, perfect for showcasing construction phases, product assemblies, and landscape transformations. With pre-designed templates like Drop/Rise or Ascend/Descend, users can quickly arrange objects in sequence without the need for complex keyframing, making it easier to illustrate how a structure is built, how a product is installed, or how elements grow and evolve within a landscape.
For centuries, models have been central to architectural design, providing architects with a tangible way to explore ideas, test concepts, and communicate their vision. From the Renaissance to Modernism, models have been instrumental in the construction and reflection processes, offering insights into form, proportion, and spatial relationships. However, in today's digital age, where 3D modelsand Virtual Reality(VR) have become powerful and efficient tools, the question arises: Are physical models still relevant in contemporary architecture?
The Second Studio (formerly The Midnight Charette) is an explicit podcast about design, architecture, and the everyday. Hosted by Architects David Lee and Marina Bourderonnet, it features different creative professionals in unscripted conversations that allow for thoughtful takes and personal discussions.
A variety of subjects are covered with honesty and humor: some episodes are interviews, while others are tips for fellow designers, reviews of buildings and other projects, or casual explorations of everyday life and design. The Second Studio is also available on iTunes, Spotify, and YouTube.
This week David and Marina of FAME Architecture & Design discuss how they use 3D images and renderings in their process. The two discuss the value of 3D images as a design tool and communication tool, the limitations and downsides of 3D images, and how these visuals are used during the different project phases.
https://www.archdaily.com/1011220/the-second-studio-podcast-the-pros-and-cons-of-3d-visualizationThe Second Studio Podcast
We are witnessing a major shift in the process of generating images. The recent influx and growth of machine learning and artificial intelligence raises questions about the way in which creative processes evolve and develop through technology. Systems like DALL-E, DALL-E 2, and Midjourney are AI programs trained to generate images from text descriptions using a dataset of text-image pairs. The diverse set of capabilities includes creating anthropomorphized versions of animals and objects, combining unrelated concepts in plausible ways, and applying transformations to existing images.
Architecture is a referential discipline. From ziggurats, machines for living, to contemporary biophilic high-rises designs, it is impossible to know whether ideas are genuinely novel or whether they have been conceptualized before. Artificial intelligence has ignited the conversation on intellectual property (IP) even more. As millions generate unique graphic work by typing keywords, controversies have arisen, specifically concerning protecting creative work and the Copyright of architects in their creations. Therefore, understanding the scope of what is protected helps determine whether licenses are sufficient, whether trademark registration's long road is worth it; or perhaps a graphic piece cannot be protected and belongs to the public domain.
2022 has been the year of AI image generators. Over the past few years, these machine learning systems have been tweaked and refined, undergoing multiple iterations to find their present popularity with the everyday internet user. These image generators—DALL-E and Midjourney arguably the most prominent—generate imagery from a variety of text prompts, for instance allowing people to create conceptual renditions of architectures of the future, present, and past. But as we exist in a digital landscape filled with human biases—navigating these image generators requires careful reflection.
Looking around, it is clear that the world is developing at a rapid rate, and so are cities. Architects and designers inevitably take on the challenge of building better cities and homes, so time needs to be properly allocated for efficiency. After all, in this industry, time really is money.
For years architects have been accustomed to working in a conventional way: they stick with traditional offline renderers and wait until the modeling part is all done to start rendering from scratch.
This is where software like D5 Render comes in, to resolve such problems and change the game. The market is growing and shifting, and so should the tools architects use.
Developed by indie entrepreneur @levelsio, This House Does Not Exist is a platform that allows users to generate images of modern architecture homes in the style of ArchDaily. The program uses latent text-to-image diffusion to automatically generate realistic images of modern houses. The website is intuitive and easy to use, with one button at the top right reading “tap image to generate new house”. The website also allows users to vote for the best images generated or see similar houses by clicking on the keywords displayed at the bottom of the image.
It is nearly impossible nowadays not to present accompanying renders when proposing a new project. No matter the method, software or style that is used, it is a valuable reference that bares more practical weight than one might think. Not only can it be one of the closest possible representations of the architect's vision, if approved, it can also become a promise to clients, investors, and the general public.
When it comes to works from renowned architects, the render becomes a critical reference to the project participants and to the expectant community. A lot of details can be developed and considered when creating the images. In most cases, special attention is brought to the lighting, materials, and context in order to make the most accurate representation possible.
Render by Giovanna Bobbetti. Image Courtesy of CURA
The question may seem straightforward, but the answer can be very complex, leading to a whole series of issues related to the target audience of hyper-realistic architectural renderings, as well as to what their goals are.
Digital literacy is not a topic architects usually consider. For Aliza Leventhal, Head of the Technical Services Section, Prints & Photographs Division at the Library of Congress, the processes of literacy and design go hand-in-hand. Previously the corporate librarian and archivist for Sasaki, Aliza is leading national conversations on everything from born-digital design files and archiving to institutional memory and knowledge sharing. Today, she's working with architects and designers to reimagine digital workflows for future access and ideation.
Collage by Matthew Maganga. Image Courtesy of Forbes Massie-Heatherwick Studio
Fifty-one years ago, in 1970, a Japanese roboticist named Masahiro Mori came up with the concept of the “Uncanny Valley”. Around the same time, architectural renderings done using analog methods were still in vogue – collages and photomontages used to get ideas across to clients. A decade later, personal computers came along, and that saw the emergence of CAD and the wider adoption of digital rendering. Today’s architectural renderings are almost imperceptible from reality, with the increase in sophistication of rendering sofware. We struggle to tell the difference between what is a rendering and what is not – or rather we are able to tell a slight difference and it leaves us slightly uncomfortable, which brings us to Mori’s uncanny valley.
With increasingly better renderings becoming ubiquitous, students and architects alike feel the pressure of mastering an additional set of skills to get their ideas across. To what extent do renderings make or break a portfolio or a project? How important are they in the design process, and do renderings inform of a particular set of skills besides the software ones? This article explores different perspectives on the role of renderings within the profession.
.jpg?1618071837 "Courtesy of BIG")
.jpg?1618071843 "Courtesy of Alexis Christodoulou")
