GitHub Next on X: "Messing around with @typesafeai Jev for real-time styling
🔤 🔜 🎨
If you can define a bounded, semantically meaningful property space, you can project a natural language expression into that space in one generation step"
Messing around with @typesafeai Jev for real-time styling
🔤 🔜 🎨
If you can define a bounded, semantically meaningful property space, you can project a natural language expression into that space in one generation step
Messing around with @typesafeai Jev for real-time styling
🔤 🔜 🎨
If you can define a bounded, semantically meaningful property space, you can project a natural language expression into that space in one generation step
This framing is way more interesting than “just another fast model.” Constraining the output space turns natural language into a much cleaner decision primitive for agents.