Modern reasoning models can be placed within the longstanding tradition framing computation as a physical process

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• Computation as a Physical Processconcept0.795
  Longstanding tradition the paper situates itself within, treating computational complexity as manifesting via physical dynamical phenomena.
• "Computational processes are abstract beings that inhabit computers... A computational process is indeed much like a sorcerer's idea of a spirit. It cannot be seen or touched. It is not composed of matter at all."quote0.789
  Load-bearing quote from SICP framing computation as spirit-like; grounds the cyberanimism framework
• "Here, we show that reasoning models exhibit transient chaos, a physical consequence of the computational complexity of difficult tasks."quote0.778
  Load-bearing abstract sentence stating the paper's central discovery.
• Computation is a game of empowerment and, therefore, the investment in opening the design process remains a critical challenge for contemporary architecture.claim0.776
  Final normative claim: computation’s nature as a game demands architectural openness, a challenge yet to be met.
• does chain-of-thought text faithfully reveal a model's internal reasoning process, or does it constitute performative theater?question0.772
  Central research question motivating the paper
• Late-20th-century holistic science still describes mechanisms; it has not overcome the mechanistic character of its models.claim0.770
  Even the beautiful descriptions of wholeness by scientists like Mae-Wan Ho remain mechanistic in detail and have not solved the bifurcation.
• The interactive processes described are reversible in a very strong sense, linking logic and physicsclaim0.769
  Partial involutions are invertible; the same structures can axiomatize quantum mechanics and analyse entanglement.
• Conceptual advances in the links between machine learning and evolution now provide quantitative formalisms with which to begin to develop testable models of collective intelligence across scales.claim0.768
  Asserts that the time is ripe for formal models.