3D Gaussian Splatting (3DGS) is a cutting-edge 3D reconstruction and rendering technique that converts 2D images or video into highly detailed, photorealistic 3D scenes. Unlike traditional mesh-based methods, 3DGS uses millions of tiny 3D Gaussians (spheres/points) optimized via machine learning to represent scenes, enabling real-time, high-fidelity rendering for VR/AR and 3D modeling.
Method overview. (Left) Given an input image, Lyra 2.0 iteratively generates video segments guided by a user‑defined camera trajectory from an interactive 3D explorer and an optional text prompt, lifting each segment into 3D point clouds fed back for continued navigation. Generated video frames are finally reconstructed and exported as 3D Gaussians or meshes. (Right) At each step, history frames with maximal visibility of the target views are retrieved from the spatial memory. Their canonical coordinates are warped to establish dense 3D correspondences and injected into DiT via attention, together with compressed temporal history.
Shapes Constraint Language[1] (SHACL) is a World Wide Web Consortium (W3C) standard language for describing Resource Description Framework (RDF) graphs. SHACL has been designed to enhance the semantic and technical interoperability layers of ontologies expressed as RDF graphs.
SHACL (Shapes Constraint Language) is a W3C standard language used to validate and describe
RDF graphs by enforcing structural rules (shapes) on data. It ensures RDF data conforms to required formats (e.g., specific datatypes, cardinalities), acting as a validation schema. SHACL is designed to work directly with RDF and uses SPARQL for complex validations.
What is SHACL?
Shapes Graph: Defines constraints using node shapes (about the node) and property shapes (about values connected to the node).
Data Validation: It checks a "data graph" against a "shapes graph" to ensure compliance.
Capabilities: It ensures data quality, validates RDF against structural requirements, and can define constraints such as mandatory fields, data types (e.g., xsd:string), or valid value ranges.
Relationship to RDF
Native RDF Integration: SHACL shapes themselves are expressed in RDF, usually via the Turtle format.
Validates Data Graphs: SHACL operates directly on RDF triples (graphs), validating subjects, predicates, and objects.
Class/Instance Validation: It often targets RDF instances of specific classes within a dataset.
Relationship to SPARQL
Backend Engine: SHACL-SPARQL is an extension mechanism where validation constraints are defined as SPARQL queries.
Complex Rules: While core SHACL handles basic validation, SPARQL is used for complex cross-property or complex structural validation rules.
Query Transformation: A SHACL processor can transform shape definitions into SPARQL queries to validate data.
SHACL vs. RDF Schema/OWL
RDF Schema (RDFS) and OWL are used for inferencing (deriving new knowledge), while SHACL is used for validation (checking if data is right).
SHACL provides a standard way to validate that RDF data matches the intended structure and content constraints.
Key details regarding the ICON $99k home initiative:
Goal: To produce 3D-printed homes with construction costs, including printing and finishing, for less than
.
Technology: Utilizing advanced, faster 3D printing systems such as the "Phoenix" printer, which has a 70-foot reach, and CarbonX7/CarbonX99 concrete.
Affordability: The initiative aims to reduce the cost of building, with some 3D wall systems starting around
per square foot, and fully printed/finished wall systems at approximately
per square foot.
Purpose: These homes are designed to meet International Building Code (IBC) standards to provide accessible housing for individuals, couples, and small families.
Location: The project is part of a broader push to make 3D-printed homes a mainstream, affordable option, with developments already underway in areas like Community First! Village in Texas.
ICON is now taking orders for projects using Phoenix starting at $25/square foot for wall systems or $80/square foot including foundation and roof. This cost to build is lower than the most recent publicly available data for conventional construction of wall systems*. This wall system cost would represent a savings of up to $25,000 for the average American home versus conventional construction.
"Workflow DevKit lets you write durable, long-running workflows directly in your Next.js and Node.js apps. You define steps with ’use step’, and the SDK handles persistence, retries, and replay automatically. Workflows survive server restarts, can sleep for days, and resume exactly where they left off.
On Vercel, all of this works out of the box — the platform handles deployment versioning and queue routing behind the scenes. But what happens when you deploy to your own Kubernetes cluster? Version mismatch. And it’s subtle enough to corrupt data before you notice.
We built Platformatic World to fix this. It’s a drop-in World implementation that brings the same deployment safety to any Kubernetes cluster. Every workflow run is pinned to the code version that created it. Queue messages are routed to the correct versioned pods. Old versions stay alive until all their in-flight runs are complete."
Pi and OpenCode are both advanced AI coding agents, but they serve different needs: Pi is a minimal, highly customizable TypeScript-based agent for developers who want to build their own workflow, while OpenCode is a "batteries-included," tool offering a polished, ready-to-use experience, often considered a faster alternative to Claude Code.
Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks. Users report being able to hand off their hardest coding work—the kind that previously needed close supervision—to Opus 4.7 with confidence. Opus 4.7 handles complex, long-running tasks with rigor and consistency, pays precise attention to instructions, and devises ways to verify its own outputs before reporting back.
Microsoft announced Copilot Cowork, which is designed to take actions in Microsoft 365 apps, not just provide search results or chat in a separate work pane. Cowork is powered by its own “Work IQ” technology, an intelligence layer that tries to personalize Cowork for the user across Microsoft 365 apps.
Microsoft has also tapped Anthropic’s Claude to power Cowork, after it partnered with the AI lab late last year. Microsoft added Claude as an option available for Cowork. (While OpenClaw can work with multiple models, Claude remains the model of choice for many users of the open source project.) However, Cowork doesn’t run on the local hardware; it runs in the cloud.
Reveal.js 6.0: The HTML Presentation Framework — A long-standing way to bring elegant presentations to anyone with a browser. v6.0 has some breaking changes, switches to Vite, and introduces an official React wrapper.
many good examples for learning / refreshing GoLang
Better Go Playground 3.0 — Newly powered by CodeMirror, you get syntax highlighting, autocompletion, file loading/saving, a VIM mode, and WASM support for running code in the browser, though by default it calls the official playground behind the scenes. You can also deploy it with Docker for a playground of your own. GitHub repo.
3D is still complicated, both on web and apps... Missing abstraction levels...
WebGL = Assembly. (Moving raw memory bytes and crunching matrix math). Three.js = C. (Imperative, manual memory and buffer management, fast but verbose). Where is the Python? (High-level, expressive, using pre-built optimized modules).
1. The Foundation: The Low-Level APIs
Regardless of whether you use Three.js, Babylon.js, or X3D, the browser translates them into one of these low-level APIs to talk to the GPU:
WebGL 2.0: The long-standing standard based on OpenGL. It is a highly manual "state machine." Drawing a single triangle requires dozens of lines of dense mathematics, binding buffers, and compiling C-like shader code.
WebGPU: The modern successor to WebGL. It is designed to mimic native graphics APIs like Vulkan, Apple Metal, and DirectX 12. It gives web developers much closer access to the raw silicon of the GPU. It massively improves performance for high-object counts and allows for "Compute Shaders" (using the graphics card for general math/logic). Both Three.js and Babylon.js have fully integrated WebGPU pipelines.
2. The Framework Comparison
If WebGL/WebGPU is the engine block, the frameworks are the cars built around them.
Three.js (The Render Library)
Philosophy: It is a lightweight 3D rendering library, not a full game engine. It focuses entirely on drawing things on the screen.
Why it requires a lot of code: Three.js is imperative. You have to manually write the render loop (requestAnimationFrame), manually update the camera, and manually construct every material, geometry, and mesh.
Pros: Massive ecosystem. If you want to do something weird or custom (like writing a custom YAML compiler), Three.js gives you the low-level flexibility to do it.
Cons: Because it's bare-bones, you have to build your own architecture. Furthermore, the maintainers frequently break backwards compatibility in new updates.
Babylon.js (The Game Engine)
Philosophy: Backed by Microsoft, Babylon.js is a complete 3D game engine that runs in the browser.
Compared to Three.js: While Three.js just renders, Babylon has built-in physics engines, collision detection, UI management, and a highly advanced state-of-the-art WebGPU architecture.
Code Volume: It often requires less boilerplate code to get a complex scene running because the engine handles the render loops and optimizations for you.
Pros: Incredible performance optimization out-of-the-box. They also have a strict "no-break" policy—code written in Babylon.js 7 years ago still runs perfectly on the newest version.
Cons: The bundle size is larger than Three.js, and it has a slightly steeper learning curve if you aren't familiar with game engine paradigms.
Web X3D (The Document Standard)
Philosophy: It is a declarative document standard. It treats 3D objects as HTML-like nodes.
Compared to the others: You don't write JavaScript to render a scene; you write XML/HTML tags, and an engine (like X3DOM, which ironically uses WebGL under the hood) renders it.
Code Volume: Extremely low code for simple things. But virtually impossible to use for high-performance procedural generation because the browser's HTML DOM is fundamentally too slow to update thousands of 3D objects per second.
X3D is a royalty-free open standards file format and run-time architecture to represent and communicate 3D scenes and objects. The X3D family of standards is ratified by the International Standards Organization (ISO) to ensure archival stability and steady evolution. X3D graphics provides a system for the storage, retrieval and playback of 3D scenes in multiple applications, all within an open architecture to support a wide array of domains and user scenarios. X3D™ is a trademark of The Web3D Consortium.
Founded in 1997, the Web3D® Consortium is an International, non-profit, member-funded, industry standards development organization. We develop and maintain open, royalty-free ISO standards for web-based 3D graphics. The X3D standard is an extensible framework and ecosystem for describing, composing, simulating, and collaboratively navigating and constructing 3D scenes. It originated from VRML and is extensible, interoperable, and runs on all platforms including desktops, tablets, and phones
