Difference World Foundational Models Neuro Approaches like Numenta

 I asked this to Chat GPT

See
https://worldmodels.github.io/

https://thousandbrains.org/

From open AI/ Chat GPT

Core Differences

AspectWorld Foundational ModelsNumenta
InspirationEngineering + scaling lawsNeuroscience (cortical theory)
ArchitectureTransformers (dense, attention-heavy)Sparse networks, dendritic computation
LearningPretraining on massive static datasetsOnline/continual learning, sequence memory
EfficiencyExtremely compute- and energy-intensiveSparse and potentially energy-efficient
GeneralizationBroad (text, multimodal, reasoning)Narrower so far, more sequence-oriented
MaturityDeployed in production worldwideMostly research + limited prototypes

Big Picture

  • WFMs = brute force scale, general-purpose but costly.

  • Numenta = biologically inspired efficiency, promising but not yet dominant.

The tension is:
👉 WFMs show what’s possible with scale today,
👉 Numenta is trying to show what’s possible if we build AI more like the brain.

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