At some point the field quietly agreed that pixel space was too hard and moved on. Stable Diffusion, FLUX, every serious text-to-image model you've used in the last three years works in latent space. Instead of generating actual pixels directly, these models compress images into a smaller mathematical representation, do all the expensive work there, then decompress back to pixels at the end. It's faster, it's cheaper to train, and it made the current generation of image models possible. The cost is subtle but noticable. That compression step loses information. Fine textures, sharp edges, precise details, things that live at the pixel level get smoothed over in ways that latent models can never fully recover because by the time they're generating, those details are already gone. Researchers at Stanford just published a way around this. AsymFlow doesn't ask you to abandon your latent model or train a pixel model from scratch. It takes what you already have and converts it. And the result beats the latent model it started from.

Imagine a tool that can transform a single image into a fully-realized 3D model in just seconds. Microsoft has released something that's turning heads in the 3D & AI world, its named Trellis 2 It is an open source AI model that can take any image & turn it into a high-quality, fully textured 3D mesh. We're talking about a complete 3D asset with physically based rendering (PBR) materials like color, roughness, metallic surfaces, even transparency, all generated automatically.

WordPress has a problem it cannot fix from the inside. Not a performance problem. Not a features problem. A structural one. 96% of its security vulnerabilities come from plugins, and the reason is simple. Every plugin gets access to everything. The database, the filesystem, the entire execution context. That is how it was built in 2003 and that is how it still works today. Cloudflare looked at that and decided patching was the wrong answer. EmDash is their attempt to start over. Built in TypeScript, Its serverless & powered by Astro & MIT licensed. No PHP, legacy architecture or plugins that can silently access your entire database. I want to be straight about what this is right now. It is a v0.1.0 developer preview. You are not migrating your production site today. But the architecture decisions behind it are serious enough that if you build on WordPress, run a plugin business, or host WordPress sites for clients, you should understand what Cloudflare just shipped.

I've used Figma. I've used Adobe XD. And for most design work they do the job fine — if you're okay with paying for them and okay with your files living on someone else's server. I wasn't looking for a replacement. I just stumbled across OpenPencil while browsing GitHub one evening and the one thing that caught my attention wasn't the canvas or the components. It was the MCP server built directly into the tool. An AI agent that can read, create and modify your design files from the terminal. That's not a plugin. That's a different way of thinking about design tools entirely. I installed it, connected it to Claude Code, created a sample design and spent some time with it. Here's what I actually found.

You unlock your phone to reply to a message. A few swipes later, you’re still there scrolling, watching, switching apps without really knowing why. Most of us don’t intend to spend hours on our phones. It just happens. The apps are fast, colorful, and always ready to pull us in during moments of boredom, stress, or habit. But quitting your phone altogether isn’t realistic, right? Modern apps are designed to be sticky & trying to resist them head-on rarely works. What does work is changing how the phone behaves. In this list, I’ve picked five apps that help you slow down, pause, and take back control without blocking everything or making you feel restricted. Some are open-source, some aren’t, but all of them are genuinely effective and built around healthier use.

A 1B model scoring 40.42 on AIME 2025 should not be possible. AIME is the American Invitational Mathematics Examination, the kind of test that filters out most humans who attempt it. Qwen3-0.6B scores 16.25 on the same benchmark. LFM2.5-1.2B, a larger model, scores 31.88. MiniCPM5-1B, at roughly one billion parameters, beats both. OpenBMB just dropped MiniCPM5-1B, the first model in their MiniCPM5 series, and it's built specifically for the scenarios like on-device deployment, resource-constrained environments, local inference on consumer hardware. The AIME score is surprising. The telecom agent benchmark is even more surprising. And then there's the desktop pet. We'll get to that.

For the past year, realistic AI video has mostly lived behind paywalls. If you wanted cinematic motion, expressive faces, or physics that didn’t fall apart after three seconds, you needed access to a cloud model & usually a monthly subscription to go with it. But something has quietly changed. In the last few months, a new wave of open-source video models has started running locally on consumer GPUs, the same RTX cards sitting under your desk right now. Some need 6GB of VRAM. Others push into the 24GB “serious workstation” tier. A few can generate long shots with consistent motion. Another lets you control facial emotion with tagged precision. They’re not perfect. But they’re closer to “industry-grade” than most people realize. Here are 6 open-source video models that look scarily realistic & actually run on your GPU.