AI architectures were designed around GPU limitations. Brains aren’t dense matrices. Connections are sparse, synapses are plastic, neurons fire dynamically. Matrix-based AIs might have unknown, fundamental expressivity limitations, preventing them from capturing the flexibility of true intelligence.
Data Scientists & ML Specialists [archived]
AI architectures were designed around GPU limitations. Brains aren’t dense matrices. Connections are sparse, synapses are plastic, neurons fire dynamically. Matrix-based AIs might have unknown, fundamental expressivity limitations, preventing them from capturing the flexibility of true intelligence.
Single-ChoicePredictedPublic
ID
fae91a50-18ae-425f-9b45-9eb5cc483641
Created
2024-07-18T13:20:06.967+00:00
Question Text
AI architectures were designed around GPU limitations. Brains aren’t dense matrices. Connections are sparse, synapses are plastic, neurons fire dynamically. Matrix-based AIs might have unknown, fundamental expressivity limitations, preventing them from capturing the flexibility of true intelligence.