Bittensor's subnets mapped to DeepMind's 10 AGI cognitive faculties.
Processing sensory input — vision, image analysis, data scraping, deepfake detection
Creating new content — text, image, audio, video, 3D, code generation
Logical analysis — inference, prediction, forecasting, fact-checking
Storing and retrieving — datasets, storage, RAG chunking, data curation
Improving from experience — model training, fine-tuning, RL, architecture search
Focusing resources — search, real-time filtering, context compression
Coordination and infrastructure — compute, networking, governance, DeFi
Self-evaluation — model evaluation, alignment, AI safety, consciousness
Multi-step task completion — agents, optimization, drug discovery, trading
Understanding social context — advertising, recommendations, sales, content creation