When can we say that two neural systems perform a task in the same way?

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• Different neural network models trained on different objectives and modalities are converging to a shared statistical model of reality in their representation spaceshypothesis0.781
  The central hypothesis of the paper; the platonic representation hypothesis itself
• Neural networks show substantial alignment with biological representations in the brain, driven by shared task and data constraintsclaim0.780
  Extends convergence argument to brain-machine alignment
• How do we establish bidirectional causal relationships between neural systems?question0.773
  Motivates the bidirectional design of MAS over unidirectional model stitching.
• Neural networks, trained with different objectives on different data and modalities, are converging to a shared statistical model of reality in their representation spaces.quote0.770
  The paper's central thesis statement, presented prominently after the abstract
• What Are The Deep Conceptual Similarities Between Neuralquestion0.764
• Neural Self-Other Overlap in Neuroscienceconcept0.760
  Neuroscientific phenomenon where self and other representations partially converge, linked to empathy and altruism
• There is a growing similarity in how datapoints are represented in different neural network models, spanning different architectures, training objectives, and data modalitiesclaim0.760
  Primary empirical claim of the paper
• Different learning systems facing similar computational problems will converge to similar consciousness-like solutions, including potentially biological and artificial systemshypothesis0.757
  Extension of the Universality Hypothesis to consciousness: if consciousness solves a well-defined computational problem, different systems will discover it independently