MASA

Turned the whole article into one 30-second poster Everything on it moves by the rules it explains What you're looking at: → Top panel: the same 3 elements, two prompts. Left is an open "make it modern" prompt: centered, one linear fade, all at once. Right is the same scene with STYLE.md: left-aligned, spring(), 5 frames apart → The 7 rules, each with a live demo: 1. spring() for every move, no linear interpolate() 2. fade + 40px on one axis, not opacity alone 3. stagger 5 frames, in reading order 4. max 3 elements, one message per scene 5. one background, one accent, no gradients 6. a named font (800 / 400), not Inter or Arial 7. timing in frames: 18 in, 45+ hold, 10 out → Bottom: the 5 bugs Claude writes in Remotion (Math.random, CSS keyframes, late fonts…) and how to keep the token bill down on Opus 5.5 Built with Claude + Remotion, from the same 7 lines Full guide, code and sources below ↓

Your Claude animations look AI-generated for one reason: you left the choices open! Linear fades. Centered text. Purple gradients. Everything moving at once! Here's the 7-line fix, with real Remotion code and sources from Anthropic's own docs

AI agents are getting smarter, but memory is still a challenge 5 open-source GitHub repos worth exploring if you're building agents that need to remember: 1) claude-mem — Keeps coding context across sessions instead of starting from scratch github.com/thedotmack/claude… 2) Mem0 — Adds persistent memory and user preferences to AI apps github.com/mem0ai/mem0 3) MemPalace — Organizes long-term agent knowledge for better recall github.com/MemPalace/mempala… 4) OpenViking — Unifies agent memory, RAG and skills in one context system github.com/volcengine/OpenVi… 5) Graphiti — Builds temporal knowledge graphs so agents can track relationships and changing facts github.com/getzep/graphiti Which approach would you use for your agent?

Zoom in on those tiny 3D details. That's where @Hi3D_AI gets interesting Been exploring their tech and there's a lot going on under the hood Hi3D V3.0 supports 2048³ geometry resolution and up to 8K textures, targeting fine engravings, sharp edges, scales, and complex surface details The really interesting part for 3D artists is their newly released Hi3D V1.0 It takes a rough mesh + reference image and refines the geometry through 3 stages: 512³ → 1024³ → 1536³ The inference code and model weights are now public under their own license Pretty useful direction for anyone working on detailed 3D assets, collectibles, or 3D printing Made a little flying Tesla concept for this showcase :)

I gave @NousResearch a debugging challenge It passed every test. But the code was still wrong After I challenged the fix, Hermes identified a flawed test, corrected its approach, and turned the lesson into a reusable skill Then I tested that skill on new tasks Did it improve performance? Not proven Did it save and reuse what it learned? Yes Built a little experiment to see Hermes' Learning Loop in action

5 trending GitHub repos worth checking out this week All gained thousands of stars this week. Here's why they're useful: 1. Orca — Manage multiple AI coding agents like Claude Code and Codex in one workspace. Great for building features in parallel. ⭐ +9.6K this week | 106K total github.com/stablyai/orca 2. Graphify — Turns codebases into searchable knowledge graphs, helping AI agents understand project structure and dependencies. ⭐ +6.9K | 136K total github.com/Graphify-Labs/gra… 3. OpenCode — An open-source coding agent that helps you write, debug, and modify code directly from your terminal. ⭐ +5.9K | 222K total github.com/anomalyco/opencod… 4. HyperFrames — Create videos and motion graphics using HTML and CSS. Useful for AI-generated product demos and automated content. ⭐ +5.6K | 72.4K total github.com/heygen-com/hyperf… 5. ComfyUI — Build node-based AI workflows for image and video generation, with customizable pipelines and local model support. ⭐ +4.8K | 143K total github.com/Comfy-Org/ComfyUI Which one would you try first?

As AI becomes more capable, the question of control becomes even more important! That's what made Ledger OP3N 2026 interesting to me From new hardware to Agent Intent, @Ledger explored how security and ownership might evolve alongside AI Because the future isn't just about what technology can do, but who remains in control of it #LedgerOp3n2026