Scaling computational connectomics for superintelligence
AI gets good at what it can practice, and medicine for the brain has had nowhere to practice. We are a tiny lab building the data tooling and reinforcement learning infrastructure that turn brain maps into emulations. Inside them, Neuro-SuperPoDS runs massively parallel learning, so superintelligence, today’s frontier AI agents and multi-agent swarms, can learn to design cutting-edge medicines and therapeutics.
An illustration of a sample run follows: 32 Neuro-SuperPoDS pods in parallel, each emulating a named neuron type or brain region toward its own reward. One pod finds a breakthrough and opens into its workspace showing the circuit it calibrated, the strategy tournament between the pods and a test of how its lessons transfer to new circuits.
Every emulation begins as a map: neurons traced, synapse by synapse, from electron microscopy.
A map is still. An emulation runs.
We turn brain maps into running emulations: models of a brain region where an agent can act, try interventions and learn from the result.
The Super
Stack
Five layers. One research loop.
Neuro-SuperPoDSThe environmentLayer 1/5
Many brain emulations running in parallel. A place where AI practices before anything reaches a lab.
LearnersThe designersLayer 2/5
Frontier agents and swarms that observe, intervene and measure, learn from results and improve their own methods.
RewardThe goalLayer 3/5
Published experiments turned into tests. What “better” means is reproducing what they recorded.
EmulationThe shared worldLayer 4/5
One fast, GPU-native kernel where every experiment runs: measured wiring where a region is mapped, a learned stand-in where it is not.
ChecksThe reality checkLayer 5/5
Every result is scored on sealed tests, beside a copy with shuffled wiring, before it counts.
Questions
- What is Mythein Labs?
- A lab scaling computational connectomics: the data tooling and reinforcement learning infrastructure that turn brain maps into emulations, where superintelligence can learn to design medicines and therapeutics. Read the research
- What is an emulation?
- A running model of a brain region, built from its wiring map, with a clear goal, where an agent can act, try interventions and learn from the result. Many of them run in parallel on Neuro-SuperPoDS.
- What do you mean by superintelligence?
- Today’s frontier AI agents and multi-agent swarms. In many domains they are already superhuman.
- Are the results ready for the clinic?
- No. This is research in progress, no emulation has been scored against a published experiment yet, and every result needs independent checking in a lab before it is used.
- How can we work together?
- Write to us with the brain region, the data or the problem you have in mind. Talk to us