"The real test of a theory is its ability to predict."
— Richard Feynman
This principle anchors our approach to whole brain emulation. We build AI models that predict future neural activity, training large-scale architectures on extensive, perturbed data captured at single-neuron resolution.
We transform these models into instruments for uncovering the brain's dynamics. Embracing the bitter lesson (that scale and learning outperform hand-crafted solutions) charts our path toward human brain emulation and, ultimately, mind uploading.