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concept:antonello-huth-2024

Antonello & Huth (2024)

Posited that generality of representations rather than particular task explains alignment with biological representations

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  • Introduced the Contravariance principle; closely related theoretical foundation for multitask scaling hypothesis
  • Showed robust agents learn causal world models; related to PRH claim about convergence to reality model
  • Cited for analysis of AI and economic growth relevant to Malthusian dynamics of digital minds
  • Abrini et al. 2025concept0.654
    Recent ToM in AI work cited as emphasizing inference of others' beliefs, contrasted with this paper's self-focus
  • Found Rosetta Neurons — neurons activated by same patterns across diverse vision models