Motion

We’re excited to introduce Taste Labs. Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste. And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design. There are two sides to cracking this, the foundation model layer and the agent layer: - We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments. - We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs. We want a future where AI feels right. If you’re passionate about this mission, join us!

@motiondotdev arc() draws a curved flight path, and you can see the exact curve before it moves... it's one quadratic bézier: control = from + Δ*peak + perp*(±strength*dist) draw it as an SVG path and it matches perfectly 🌀 my fav: velocity

Massive thanks to @lochieaxon for pushing this through! Check out the example: examples.motion.dev/react/add-to-b… Docs: motion.dev/docs/arc