I highlight .fr08, a legendary 64kb demoscene production by Farbrausch. It is a milestone in procedural generation, packing high-fidelity 3D graphics and audio into a tiny executable file.
I checked out Princeton's 3D search engine, which lets you find objects based on shape. It is an interesting experiment, though I am skeptical about the actual use cases for the models it retrieves.
Focus on generating visual assets as code rather than pixels to enable iterative improvement. Use SVG for 2D UI and Blender scripts or USD for 3D modeling, leveraging agents like VIGA for editable, precise graphics.
I looked into speech editing tools and GPT-4o Mini's impressive performance. I also listed dozens of text-based formats LLMs can generate to create physical artifacts like 3D models or circuits, and explored self-hosted PaaS solutions like Piku.
I explored OpenAI's custom tool types for DSL generation, new Node.js 2025 features like single-executable bundling, and Markdown directive syntax. I also shared my Claude Code usage costs and thoughts on vibe coding.
I discovered a collection of free and affordable software tools that replicate the professional visual effects pipelines used by studios like ILM. These resources provide accessible alternatives for high-end compositing, 3D modeling, and cinematic post-production.