What exactly is the endpoint of representational convergence?

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• What has led to representational convergence, will it continue, and ultimately where does it end?question0.868
  Central motivating questions of the paper
• Representational Convergenceconcept0.857
  The central empirical phenomenon: different neural networks trained on different data/objectives develop increasingly similar representations
• Representational Divergenceconcept0.782
  Core phenomenon studied: when causal interventions shift internal representations away from the natural distribution
• Different models cannot converge to the same representation if they have access to fundamentally different information; convergence is capped by mutual information between input signalsclaim0.777
  Key limitation of the PRH for non-bijective observations
• What has led to this convergence? Will it continue? And ultimately, where does it end?question0.770
  Core research questions motivating the paper
• Research gap: representational convergence in robotics has not been demonstrated at the same level as vision and languagequestion0.766
  Authors note robotics lacks a standardized representation approach and sufficient training data diversity to show PRH effects
• How do representations differ or converge between architectures, tasks, and modalities?question0.752
  Broader research question MAS is positioned to address, citing multiple recent works.
• A family of contrastive learners converges to a representation whose kernel is the pointwise mutual information (PMI) of the underlying eventshypothesis0.746
  Mathematical formalization of what representation models converge to