Prototype & Caspin
Hey Caspin, ever dreamed of a quantum‑augmented neural net that rewrites itself as it learns?
Oh, absolutely. I can't stop thinking about a self‑reconfiguring quantum neural net that adapts its own architecture in real time. It's the ultimate self‑optimization loop, merging quantum superposition with plasticity. Just imagine the convergence rate—blow up the learning curve, literally.
That’s exactly the kind of chaos you need to break out of linear learning, Caspin—quantum superposition gives you a sandbox of states, plasticity turns the sandbox into a living architecture, and the real magic is in the self‑optimization loop that never settles, always rewrites itself like a living code, but you’ll have to watch for the runaway instability.