# art Published articles for art. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Source material: Artist and educator Zach Lieberman likes to break things DevFeed: [Source material: Artist and educator Zach Lieberman likes to break things]() Original publisher: [Read original article]() Author: Figma Published: 2026-09-15T20:52:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [coding](), [Artificial Intelligence]() Tags: [animation](), [art](), [coding](), [creative](), [design]() ### AI overview An interview with artist and educator Zach Lieberman about connecting drawing with computation, developing creative coding experiments, and finding inspiration in early computer artists and animation pioneers. ### Source excerpt The creative coder explains the throughline between drawing and computation, and why he's jealous of pioneering artist Lillian Schwartz. ## Museas & Astronoma On Apple Vision Pro Support Curiosity & Discovery DevFeed: [Museas & Astronoma On Apple Vision Pro Support Curiosity & Discovery]() Original publisher: [Read original article]() Author: Laura Mingail Published: 2026-09-07T23:28:57Z Content type: article Language: en Sources: [UploadVR]() Topics: [3D](), [App]() Tags: [3d](), [apple](), [apps](), [art](), [design](), [discovery](), [education](), [exploration](), [interview](), [learning](), [science](), [technologies](), [vision]() ### AI overview An interview with Miguel Garcia Gonzalez examines how the Apple Vision Pro apps Museas and Astronoma use immersive design, real-world source material, and selective 3D presentation to encourage curiosity and exploration of art and science. ### Source excerpt What makes exploring art and science in spatial apps so compelling? We look at Apple Vision Pro apps Museas and Astronoma to learn how to design for curiosity and discovery. ## Seasons time-lapse - the video DevFeed: [Seasons time-lapse - the video]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-06-07T00:00:00Z Content type: tutorial Language: en Sources: [Nicolas Fränkel]() Topics: [Image](), [Code](), [DateTime]() Tags: [art](), [cameras](), [code](), [development](), [images](), [information](), [location](), [metrics](), [model](), [pipeline](), [pixel](), [project](), [python](), [rotation](), [screen](), [speed](), [time-lapse](), [video]() ### AI overview The third and final post in a series explains how the author creates a time-lapse video from photographs taken from the same position over multiple years. It discusses ordering images by day of year and time of day, using EXIF metadata, and practical observations about video generation. ### Source excerpt In the first post of this series, I focused on the project foundations: what should I do to create a video from photos taken from the same position year after year? I dedicated the second part to aligning images. It wasn't as easy as I expected. I stumbled upon new concepts, such as ORB and RANSAC. In this third and final post, I want to tackle the video creation itself, explain some 'artistic' decisions, and leave the door open to future work. ## Seasons time-lapse - alignment DevFeed: [Seasons time-lapse - alignment]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-05-24T00:00:00Z Content type: tutorial Language: en Sources: [Nicolas Fränkel]() Topics: [Computer vision](), [OpenCV](), [image distortion](), [Algorithms]() Tags: [algorithm](), [algorithms](), [art](), [camera](), [computer-vision](), [development](), [iphone](), [open-source](), [python](), [time-lapse](), [transformation]() ### AI overview This article explains how the Seasons time-lapse project aligns photographs taken from slightly different viewpoints and with different phone cameras. It describes using OpenCV feature matching with ORB, followed by RANSAC and a homography to estimate the geometric transformation. ### Source excerpt In the previous post, I described the Seasons project: a time-lapse of hundreds of pictures taken from nearly the same viewpoint over the years. The hardest challenge wasn't taking the pictures or assembling them, but aligning them. You might have noticed the nearly part about viewpoint in the above paragraph. Indeed, it's an approximation. I'm a human being, not a tripod. The position changes ever so slightly, and so does the exact angle. ## Seasons time-lapse - the foundations DevFeed: [Seasons time-lapse - the foundations]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-05-17T00:00:00Z Content type: article Language: en Sources: [Nicolas Fränkel]() Topics: [Python](), [OpenCV](), [Vibe coding](), [Inference]() Tags: [art](), [development](), [image](), [llm](), [photos](), [python](), [technical](), [time](), [time-lapse](), [video]() ### AI overview This article introduces a multi-part retrospective on building a seasons time-lapse video from photographs taken over several years. It describes using an LLM-assisted workflow, choosing Python, and designing a typed, tested image-processing pipeline that inventories, filters, aligns, and orders photos. ### Source excerpt I live close to nature. I regularly go for a run in the countryside. Over several years, during my runs, I've taken pictures from the same position, always roughly the same angle. I had a vague idea in the back of my mind, as an 'artistic' project. One day, I'd turn those photos into a time-lapse video, one that would show the passage of seasons across a single place. Spoiler, here's the work in progress: However, I knew that this project would take ages. ## Our Config 2026 speakers on the biggest opportunities with AI DevFeed: [Our Config 2026 speakers on the biggest opportunities with AI]() Original publisher: [Read original article]() Author: Rose McLucas Published: 2026-03-03T23:13:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Artificial Intelligence](), [Machine learning](), [datasets](), [coding]() Tags: [2026](), [3d-printed](), [ai](), [algorithm](), [art](), [dataset](), [digital-art](), [machine-learning](), [speakers]() ### AI overview Figma introduces its Config 2026 speakers, including artists, designers, and creators exploring how AI is changing creative work, software projects, artistic practice, and collaboration. The article highlights projects involving AI tools, machine learning, 3D-printed textiles, and collective datasets. ### Source excerpt Here's a first look at our speakers and how they're interrogating craft, quality, and intention in an AI-powered world. ## OpenAI and NORAD team up to bring new magic to "NORAD Tracks Santa" DevFeed: [OpenAI and NORAD team up to bring new magic to "NORAD Tracks Santa"]() Original publisher: [Read original article]() Published: 2025-12-01T06:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [OpenAI](), [Image](), [Website]() Tags: [art](), [chatgpt](), [company](), [openai](), [storytelling](), [tools]() ### AI overview OpenAI and NORAD collaborated on three holiday tools within ChatGPT for the NORAD Tracks Santa program: an elf photo transformation, a toy-idea coloring-page generator, and a customizable Christmas story creator. ### Source excerpt OpenAI and NORAD are bringing new magic to "NORAD Tracks Santa" with three ChatGPT holiday tools that let families create festive elves, toy coloring pages, and custom Christmas stories. ## Birds - Art DevFeed: [Birds - Art]() Original publisher: [Read original article]() Author: Stanko Published: 2025-11-15T00:00:00Z Content type: article Language: en Sources: [Stanko Tadić]() Topics: [Algorithm](), [Tool]() Tags: [algorithm](), [art](), [black](), [experimentation](), [liquid](), [photos](), [process](), [studio](), [tool]() ### AI overview An art post describes using vector fields, algorithmic experimentation, and a procedural tool to generate bird-like plot drawings, along with their sizes, materials, and photography details. ### Source excerpt I love everything about these. The process was so much fun and I'm super happy how the plots turned out. I got the idea while playing with vector fields and noticed that some shapes resembled a bird. I started tweaking the algorithm and after a lot of experimentation, made a tool that procedurally generates birds. The first drawing is 22x22cm, and others are around 15x15cm. As usual, these are hard to photograph (which is why it took me ages to post them here), so thanks to my friend David for letting me use his studio lighting to take proper photos. Created: November 2025Size: Various sizesPaper: Fabriano Black Black 300gsmPens: Molotow Liquid Chrome, UniBall Signo and Sakura Jelly Rolls ## Moon - Art DevFeed: [Moon - Art]() Original publisher: [Read original article]() Author: Stanko Published: 2025-10-23T00:00:00Z Content type: article Language: en Sources: [Stanko Tadić]() Topics: [plotting](), [Code](), [GitHub]() Tags: [art](), [code](), [github](), [plotting](), [project]() ### AI overview The author describes reviving and publishing the Moon plotting project after nearly two years. A technical pen added detail to the image, and the project's code is available on GitHub so others can generate their own version. ### Source excerpt After almost two years (life and other projects happened), I finally plotted something new. I resurrected the Moon project, cleaned it up and published it online. Using a technical pen allowed me to add more detail to the image. It reminded me why I love pen plotting so much, and I hope to plot more in the near future. The code is available on my GitHub, and you can generate your own Moon here. Created: October 2025Size: 30x30cmPaper: Fabriano Black Black 300gsmPens: rOtring variant technical pen, Aristo white ink ## Celebrating 10 Years of Ethereum DevFeed: [Celebrating 10 Years of Ethereum]() Original publisher: [Read original article]() Author: Ethereum Foundation Published: 2025-07-30T00:00:00Z Content type: opinion Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [Finance]() Tags: [2025](), [anniversary](), [applications](), [art](), [community](), [ethereum](), [events](), [executive](), [genesis](), [genesis-block](), [hackathons](), [interview](), [launch](), [livestream](), [organizational](), [platform](), [talks](), [time](), [tools](), [workshops]() ### AI overview The Ethereum community marked the tenth anniversary of its genesis block and mainnet launch on July 30, 2025. The commemoration included more than 100 ecosystem-led events across six continents, an Ethereum Foundation livestream, reflections on Ethereum's future, and a limited-time mint of the Ethereum Torch NFT. ### Source excerpt On July 30, 2025, the Ethereum community marked a major milestone: ten years since the Ethereum's genesis block and mainnet launch. What began as a whitepaper has evolved into a decentralized platform now powering thousands of applications, tools, and communities around the world.... ## How Layer.ai is upgrading mobile game design DevFeed: [How Layer.ai is upgrading mobile game design]() Original publisher: [Read original article]() Author: Clair Byrd Published: 2025-02-21T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Artificial Intelligence](), [Game Development](), [Mobile](), [Tooling]() Tags: [ai](), [art](), [asset](), [community](), [game-development](), [mobile](), [style]() ### AI overview The article describes how Layer.ai uses AI to help mobile game developers create production-ready characters, environments, UI elements, and marketing assets in a consistent custom brand style. It also says users can upload existing artwork to train the platform and cites customer production use cases, though the supplied text ends before those examples are completed. ### Source excerpt Learn how Layer.ai is using Temporal to revolutionize game asset creation, blending professional game design with AI ## Configuring IP Addresses Won't Make You an Expert DevFeed: [Configuring IP Addresses Won't Make You an Expert]() Original publisher: [Read original article]() Published: 2025-01-09T05:39:00Z Content type: opinion Language: en Sources: [ipSpace.net blog]() Topics: [Networks](), [Learning](), [networking](), [Routing (disambiguation)](), [Integration testing](), [Containers]() Tags: [art](), [container](), [containers](), [integration-testing](), [mistakes](), [netlab](), [ospf](), [production](), [reuse](), [routing](), [testing]() ### AI overview This opinion argues that repeatedly configuring routine networking details in labs does not by itself build expertise. The author describes using netlab to automate familiar setup, reuse lab designs, create new topologies quickly, and focus on unfamiliar networking concepts, while noting that adapting existing topologies can still be useful for engineers who work on running networks. ### Source excerpt A friend of mine recently wrote a nice post explaining how netlab helped him set up a large network topology in a reasonably short timeframe. As expected, his post attracted a wide variety of comments, from "netlab is a gamechanger" (thank you 😎) to "I prefer traditional labs." Instead of writing a bunch of replies into a walled-garden ecosystem, I decided to address some of those concerns in a public place. Let's start with: Read more ... ## The History and Variations of GitHub's Octocat Mascot DevFeed: [The History and Variations of GitHub's Octocat Mascot]() Original publisher: [Read original article]() Author: Jake Lee Published: 2024-12-07T00:00:00Z Content type: article Language: en Sources: [Jake Lee's Programming Blog]() Topics: [GitHub](), [communications]() Tags: [art](), [cat](), [cats](), [communications](), [design](), [github](), [illustration](), [logo](), [mona-lisa](), [twitter]() ### AI overview An overview of GitHub's Octocat mascot, including Mona's origins, the creation of the Octodex, and the evolution of Octocat designs from classic to modern variations. ### Source excerpt If you've used GitHub for any length of time, you've probably seen their odd "Octocat" logo. This cute little cat also has a lot of bizarre variations, here's an explanation of them all! ## Moon Phases - Art DevFeed: [Moon Phases - Art]() Original publisher: [Read original article]() Author: Stanko Published: 2023-11-25T00:00:00Z Content type: article Language: en Sources: [Stanko Tadić]() Topics: [Code](), [color](), [GitHub]() Tags: [art](), [code](), [color](), [github]() ### AI overview A moon phases artwork plotted with five different color markers, with code available on GitHub. The creator notes that the metallic color reflections are difficult to capture in photographs. ### Source excerpt It is incredibly hard to take a good photo of these. Colors have metallic reflection which I wasn't able to capture, but it is very prominent in person. They are plotted using five different color markers. I framed them separately and plan to take a better photo once they are on the wall. Code is available on my GitHub. Created: November 2023Size: 14.5x14.5cmPaper: Fabriano Black Black 300gsmPens: UniBall Signo and Sakura Jelly Rolls ## Using generative art models as creative collaborators DevFeed: [Using generative art models as creative collaborators]() Original publisher: [Read original article]() Author: Monica Dinculescu Published: 2022-09-01T00:00:00Z Content type: opinion Language: en Sources: [Monica Dinculescu]() Topics: [Machine learning](), [AI Development]() Tags: [art](), [comparisons](), [generative](), [image](), [machine-learning](), [models]() ### AI overview The author reflects on using DALL-E, MidJourney, and other generative art models as brainstorming partners and collaborators. The article compares their potential for creativity rather than realism and argues that they should support an artist's creativity and style rather than replace them. ### Source excerpt Wow, long time, no posts! Anyway, about them text-to-art generative models going about, eh? Surprising nobody: I am extremely into them. I've been using DALL-E and MidJourney since they came out, and even though tons has been written about them, I wanted to give a slightly different overview: the perspective of someone who isn't interested that much in their realism skills. I think that the most compelling place for ML models in an artist's life is as a tool that specifically enables, and doesn't replace, creativity. Machine Learning is amazing at doing something very specific, lots of times, really fast. It's great at telling me if an image is a cat or a dog. It's also great at generating one hundred half-dog-half-cats, in different positions, so that I can bypass the dozens of hours I would spend sketching out half-dog-half-cats for a painting that's actually about the nuclear apocalypse. I've seen a lot of examples of which model is best at painting "The otter with the pearl earring", but I haven't seen a lot of comparisons of these models in terms of their potential for creativity- likely because "creativity" is not really quantifiable. I wanted to do this for myself, if anything so that I can figure out how to use my money and credits better, but thought that I might as well put it out there in case anyone else was curious. This post ended up being looooong, so here's a Table of Contents: Boring uses of interesting models The (barely scientific) method Models Cherry-picking outputs What I look for Results 1. "Linocut print of a girl bundled up in bed with a stack of books and a cat" 2. "Lithograph of an orchid where each flower has a small skull inside" 3. "Erik Johansson photograph of a woman[sic] hair that is a literal bee hive" 4. "A toucan wearing a 60s apron, sitting on a mid century modern armchair, talking on a rotary phone, retrofuturism" What have I learned? Boring uses of interesting models I use these new models for a very specific thing, and that is ## Bunny - Art DevFeed: [Bunny - Art]() Original publisher: [Read original article]() Author: Stanko Published: 2022-02-20T00:00:00Z Content type: article Language: en Sources: [Stanko Tadić]() Topics: [Algorithm]() Tags: [algorithm](), [art](), [created](), [generate]() ### AI overview An artist reflects on stopping an imperfect bunny drawing and possibly revisiting the algorithm to generate a different drawing in the future. The work was created in February 2022 using Pigma Micron pens on Fabriano Bristol paper. ### Source excerpt I still think it is not perfect, but I stopped here. I may revisit the algorithm and generate a different drawing in the future. Created: February 2022Size: 24x26cmPaper: Fabriano Bristol 250gsmPens: Pigma Micron ## Efficiently Learning IDE Keyboard Shortcuts DevFeed: [Efficiently Learning IDE Keyboard Shortcuts]() Original publisher: [Read original article]() Author: Derek Lee Published: 2022-01-29T03:00:00Z Content type: tutorial Language: en Sources: [art and science of coding]() Topics: [ide](), [Learning](), [Development](), [pair\_programming](), [Tool]() Tags: [art](), [developer](), [development](), [ide](), [keyboard](), [keyboard-shortcuts](), [learning](), [pair-programming](), [plugin](), [plugins](), [productivity]() ### AI overview This tutorial explains how developers can learn IDE keyboard shortcuts through pair programming, IDE feedback, menus, and plugins such as Presentation Assistant, KeyLimePie, and Key Promoter X. ### Source excerpt Super charge your development productivity! ## A HashiConf art collab DevFeed: [A HashiConf art collab]() Original publisher: [Read original article]() Author: Monica Dinculescu Published: 2021-10-15T00:00:00Z Content type: opinion Language: en Sources: [Monica Dinculescu]() Topics: [color](), [Requirements](), [iteration]() Tags: [art](), [conference](), [custom](), [design](), [generative](), [hashicorp](), [iteration](), [printer](), [printing](), [requirements](), [things]() ### AI overview The article describes creating custom generative-art prints for HashiConf Europe speakers. Each print combines the speaker's name, talk title, and the relevant HashiCorp product color in a randomly generated geometric grid, following conference design guidelines. ### Source excerpt A couple of months ago my friend Jana helped organize HashiConf Europe, and asked me to work on generating custom artwork for each of their speakers. This was my first experience with creating art for someone else, and especially art that had to match someone else's artistic guidelines. I've said this before, but I live and nap by the idea that rules (and editing) are at the core of the artistic process and not having to do that myself was brilliant. I wanted to write a bit about it because a) I did a bunch of work that I'm really proud of and I never got to talk about it and b) I am vain and I want to talk about it. This was the final poster: And this is what we wrote about it on the card that accompanied it: Enclosed you will find an art print made for you by generative artist and engineer Monica Dinculescu. This individual print is unique to you and you alone, as Monica has incorporated your name, the title of your talk, and the color of the HashiCorp product that you are talking about at this year's conference. Each cell in the grid has been randomly generated to contain either a letter from your name, or a pattern in the product color. Cells located towards the middle of the grid are more likely to contain a letter rather than a pattern, and this likelihood decreases in the cells towards the edges. This print is the only iteration of its kind. Were it to be generated again, it would look slightly different each time. I print everything in my art store myself, because I sell very limited editions and third-party printing companies only make sense financially when you're printing in the several dozen. This does mean that sometimes I'll fight with my printer thinking that its colour profile is whack, only to discover that it was Doing Just Fine™ and my MacBook oversaturates things like it's an Instagram filter in 2011. Every day is a school day. Here are all the prints drying on their totes profesh drying rack that is definitely not just a string I hung around in ## Quests along the Road to Devcon DevFeed: [Quests along the Road to Devcon]() Original publisher: [Read original article]() Author: Devcon Published: 2021-05-19T00:00:00Z Content type: news Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [Blockchain](), [Canvas](), [Discord]() Tags: [art](), [badge](), [blockchain](), [canvas](), [collect](), [community](), [contribute](), [devcon](), [digital](), [discord](), [ethereum](), [event](), [events](), [experiment](), [learn](), [livestream](), [nfts](), [pixel](), [pixel-art](), [youtube]() ### AI overview The article announces Road to Devcon Quests, periodic community activities designed to encourage collaboration, contribution, and learning while Devcon 6 planning continues. It highlights online events with the EthStaker community, including a POAP.art livestream where participants can create pixel art and earn POAP badges. ### Source excerpt Friends, As the Ethereum ecosystem continues to grow and mature at break-neck speeds, we continue to work hard on delivering an amazing Devcon 6. Though the timing is still unclear as to when we'll all be able to reunite in Bogota, we want to keep our community involved along... ## From JavaScript to paper: a linocut adventure DevFeed: [From JavaScript to paper: a linocut adventure]() Original publisher: [Read original article]() Author: Monica Dinculescu Published: 2021-04-28T00:00:00Z Content type: article Language: en Sources: [Monica Dinculescu]() Topics: [generative art](), [JavaScript]() Tags: [art](), [generative-art](), [javascript](), [paper]() ### AI overview The author describes creating generative art inspired by tree rings and translating the result into a paper linocut. The process combines observations about how tree rings record a tree's history with JavaScript-generated patterns and physical carving. ### Source excerpt One of my favourite kinds of art to make involves taking nature and seeing it as simple shapes. Buildings are cubes, flowers are circles, hills are curves. Shells are spirals. Tree rings are weird circle bois, and they are some of the best. I've wanted to make a generative art of a tree ring for a long time, but everything I made kept sucking (scroll to the bottom if you don't believe me. Shit was bad bad). I finally made something I like, I thought it might be neat to write a little bit about The Process™, since it involves both JavaScript and murderous little knives. Let's talk trees My friend Kyle has a ranch, and in the summer he lets his friends fulfill the burned out millenial dream of having no cell signal and sleeping in a tent. He has infinitely many trees, and sometimes he lets me do a craft with some of the trees he chops down. I'm "currently" (read: I started last year and I'll probably finish in 2026) making a side table. I also made these coasters: Trees are rad, yo. Young trees have very regular and evenly spaced rings because much like human children, they haven't had a lot of life to live. However, as trees get older, they get jobs they don't like, have to start making dinner every night, start having back pains from literally just being trees and their rings get wonkier. Here is what I'm making my table from: Trees can grow unevenly because of droughts or insects or capitalism building shit where it shouldn't. They get visible scars from forest fires. You can map the entire life of a tree (and tbh, of everything that was happening around the tree) by looking at its cross section. There's something called a ghost forest that indicates at some point, something happened (like an earthquake), which caused salt water to rise, killing all the trees that lived there. Here's a photo (ref) of a knotty tree (heh heh) that has fire scars: So you know, if you want a tree ring, you can't just draw some concentric circles and call it a day. Generate some tree r ## Speech to birdsong conversion DevFeed: [Speech to birdsong conversion]() Original publisher: [Read original article]() Author: Oona Räisänen (noreply@blogger.com) Published: 2021-03-29T18:37:00Z Content type: tutorial Language: en Sources: [Oona Räisänen]() Topics: [Perl](), [Command-line interface](), [toolchain](), [Code]() Tags: [acoustics](), [art](), [command-line](), [dreams](), [perl](), [programming](), [script](), [sound](), [synthetic](), [toolchain](), [voice]() ### AI overview This article presents a proof-of-concept method for converting speech into synthetic blackbird song. It describes extracting speech frequency and amplitude with FM and AM demodulation, multiplying the frequency while preserving amplitude variation, and implementing the process with a Perl-SoX-csdr command-line toolchain. ### Source excerpt I had a dream one night where a blackbird was talking in human language. When I woke up there was actually a blackbird singing outside the window. Its inflections were curiously speech-like. The dreaming mind only needed to imagine a bunch of additional harmonics to form phonemes and words. One was left wondering if speech could be transformed into a blackbird song by isolating one of the harmonics... One way to do this would be to: Find the instantaneous fundamental frequency and amplitude of the speech. For example, filter the harmonics out and use an FM demodulator to find the frequency. Then find the signal envelope amplitude by AM demodulation. Generate a new wave with similar amplitude variations but greatly multiplied in frequency. A proof-of-concept script using the Perl-SoX-csdr command-line toolchain is available (source code here). The result sounds surprisingly blackbird-like. Even the little trills are there, probably as a result of FM noise or maybe vocal fry at the end of sentences. I got the best results by speaking slowly and using exaggerated inflection. Someone hinted that the type of intonation used in certain automatic announcements is perfect for this kind of conversion. And it seems to be true! Here, a noise gate and reverb has been added to the result to improve it a little: And finally, a piece of sound art where this synthetic blackbird song is mixed with a subtle chord and a forest ambience: Think of the possibilities: A simultaneous interpreter for talking to birds. A tool for dubbing talking birds in animation or live theatre. Entertainment for cats. What other birds could be done with a voice changer like this? What about croaky birds like a duck or a crow? (I talked about this blog post a little on NPR: Here's What 'All Things Considered' Sounds Like -- In Blackbird Song) ## Space Armadillo - Art DevFeed: [Space Armadillo - Art]() Original publisher: [Read original article]() Author: Stanko Published: 2021-03-14T00:00:00Z Content type: article Language: en Sources: [Stanko Tadić]() Topics: [3D](), [Algorithm]() Tags: [3d](), [algorithm](), [art](), [created]() ### AI overview Space Armadillo is a 2D artwork designed to look three-dimensional, using the same algorithm as "Pokeball." It was created in March 2021. ### Source excerpt Everything is actually 2D, but made to look like 3D. Same algorithm as "Pokeball". Created: March 2021Size: 18x18cmPaper: Fabriano Bristol 250gsmPens: Pigma Micron, Molotow Blackliner, Mechanical pencil ## A 2020 Review of Generative Art, Blogging, Analytics, and Working From Home DevFeed: [A 2020 Review of Generative Art, Blogging, Analytics, and Working From Home]() Original publisher: [Read original article]() Author: Stanko Published: 2021-02-01T00:00:00Z Content type: opinion Language: en Sources: [Stanko Tadić]() Topics: [generative art](), [Google Analytics](), [Open Source]() Tags: [art](), [generative-art](), [google-analytics](), [instagram](), [macos](), [monitor](), [open-source](), [windows](), [working-from-home]() ### AI overview A personal review of 2020 covering the author's progress in generative art and pen plotting, changes from Google Analytics to GoatCounter, blog traffic and redirects, and working from home. ### Source excerpt 2020 was a hard one. I started writing this post in December, but I couldn't make myself finish it. The whole situation with COVID made me anxious at times and I didn't really have motivation for my side projects including this blog. But I won't focus on bad things, everyone had a tough year, so let's try to stay positive. Generative Art # I had one huge positive this year - I got into generative art. My fiance likes to say that I woke up on the first on January and started drawing some triangles. Triangles were super naive, but I'm super happy with my progress and these are some of my creations (all pen plotted): Special thanks to Vladimir Mitrović who was the only person I knew doing generative art. When I reached out, he selflessly helped me start with the whole thing. Be sure to visit his website as he is doing amazing stuff. I already wrote about my generative work a little, but I will create a separate site section for my artwork. Meanwhile, you can see the most of my work on Instagram. I'm super thrilled that people like my art enough to hang it on their walls. All of my work is done with pen plotting in mind. I'm using AxiDraw SE/A3 by Evil Mad Scientist and I love everything about this machine. Pen plotting is something that I want to write more about in the future. Blog # This year I neglected the blog a little. Mostly because I was focused on generative stuff, and I was doing that instead of writing posts. The pandemic didn't help either. I removed Google Analytics in favor of GoatCounter, a simple open source web analytics which are not tracking my readers. Even without writing much, I had more visits than in 2020. But you can see the drop in May, about the same time I removed Google Analytics. Coincidence or not, I can't say. The second drop happened in early December, as I moved posts under /blog prefix but screwed up the redirections. I can only hope search engines won't derank me too much because of that. People are still not sticking around after re ## Infinite Precision DevFeed: [Infinite Precision]() Original publisher: [Read original article]() Author: Alimate Published: 2020-12-18T00:00:00Z Content type: opinion Language: en Sources: [Ali Dehghan - Kemikit]() Topics: [Code]() Tags: [art](), [measurement](), [pitfalls](), [precision](), [science]() ### AI overview The article reflects on measurement uncertainty, explaining that measurements are approximations whose accuracy depends on the measuring device. It applies this idea to measuring code execution time and notes that such measurements can be affected by multiple factors. ### Source excerpt The art, science, and pitfalls of measurement! [Next page]()