It’s never been easier to design your dream house.
Draw a shape. Define your rooms. Set your constraints.
@DraftedAI generates complete floor plans, elevations, and 3D home designs in seconds.
Over the last month, 120,000 people generated 325,000+ home designs with https://t.co/XqC0LP5n3y.
Launching our new paper on arXiv: we trained the largest multilingual food model ever built.
4.1M recipes. 7 languages. 1,790 ingredients. 300 dimensions.
All of human cooking compressed into 2 megabytes.
jina-embeddings-v5-omni is here! Our first universal embedding model for text, images, audio, and video. Available in two sizes: small (1.57B, 1024-dim, 32K context) and nano (0.95B, 768-dim, 8K context). Both support Matryoshka truncation down to 32 dimensions.
v5-omni is back-compatible: if you already use jina-embeddings-v5-text-small/nano, the existing text indexes work with v5-omni out of the box. Without reindexing the text, just index your multimodal content with v5-omni and start searching images, audio, and video.
These are some of the flows the app is based on.
They were created by Claude via Figma's MCP and turned out super accurate, outlining not only user flows, but Information architecture and the data used at every step.
This alone is a great foundation for the future app - paired with Design.md, and could potentially replace the prompts that I used.
just launched: @mobbin mcp 💛
your AI agents can now search 600,000+ real app screens. paywalls, onboarding, checkout, permissions — from apps that already shipped.
ai tools can write code. they just don't know what good looks like. now they do.
👉 https://t.co/WL3IofRU84
@hannah_hearth implement
"Make Claude and Codex do Pair Programming" (mentioned in Vercel team's best practice) via https://t.co/8QZ6FVHduO (`npm install @motivation-labs/crosscheck@beta` for lastest update). The crosscheck works like below
@hannah_hearth implement
"Make Claude and Codex do Pair Programming" (mentioned in Vercel team's best practice) via https://t.co/8QZ6FVHduO (`npm install @motivation-labs/crosscheck@beta` for lastest update). The crosscheck works like below
Neural networks might speak English, but they think in shapes.
Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision.
Starting today, we’re releasing a series of posts on this research agenda. 🧵
Claude writes code. Codex reviews it.
Codex writes code. Claude reviews it.
That’s the loop behind crosscheck — a local, cross-vendor AI code review orchestrator for PRs.
Built for catching agent mistakes before they land.
https://t.co/KUG5P6CGkD