Aletheia
A substrate-coupled spiking neural network.
Aletheia is a research platform where a neural network is inseparable from the machine it runs on. Rather than hiding the hardware away, it treats the machine's living physics — its heat, its rhythm, its small imperfections — as part of how the network thinks.
Every instance is one of a kind, bound to its own silicon, and behaves a little differently from any other. It's a place to watch how simple rules, run close to the metal, give rise to complex, emergent behaviour.
Hardware as input
Frequency, heat, jitter and MSR readings feed the network directly — physical effects become computational resources, not noise to filter out.
One irreproducible mind
A single instance, bound to its silicon. The same configuration behaves differently on different machines.
A lab to watch it think
Real-time spike raster, weight-distribution evolution, activity metrics, and a timeline to replay any moment.