The fundamental
direction of
intelligence

Eigentau orchestrates Bittensor's 129+ specialized subnets into unified general intelligence. Every query decomposed, routed, synthesized, learned.

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Subnets
0
Faculties
74.2%
Accuracy

AGI is orchestration,
not one model

DeepMind defines general intelligence as 10 cognitive faculties. Bittensor has 129 specialized subnets. Eigentau is the routing layer that ties them together — the gating network in a decentralized Mixture of Experts.

Perception Generation Reasoning Memory Attention Learning Metacognition Executive Problem Solving Social Cognition
Perception Generation Attention Learning Memory Reasoning Metacog Executive Problem Social

How Eigentau thinks

01
Decompose
AI breaks complex queries into atomic sub-tasks, each mapped to a cognitive faculty.
02
Route
Learned weights determine which Bittensor subnets handle each sub-task.
03
Synthesize
Results from parallel subnets merged into one coherent answer.
04
Learn
Every outcome scored. Routing weights adjusted via EMA blending.

The router gets
smarter with
every query

Signal-to-performance correlations computed after every cycle. Weights shift toward subnets that deliver. No human tuning — pure data-driven evolution.

Routing Weights — Cycle 847
Inference
0.359+0.041
Prediction
0.233+0.018
Scraping
0.209-0.012
Storage
0.144+0.007
Annotation
0.049-0.003
Training
0.006+0.002
EMA blend: 80/20Accuracy: 74.2%

$TAU

The token that powers Eigentau's routing economy on Base. Query fees fund subnet interactions via TAO.

Route

Pay for multi-subnet queries

Stake

Priority routing access

Learn

Earn from routing recipes

Coming Soon on Base