The boundary between evolved and designed agents is becoming blurred through biorobotics and synthetic morphology.

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• "biological morphogenesis is not well-described by bottom-up, open-loop, mechanical models, but instead exhibits more complex policies as it navigates the space of possible anatomical shapes despite various perturbations"concept0.800
• Progress in machine behavior science and biohybrid engineering breaks down the simplistic dualism of life vs. machine, revealing a continuum of emergence, rational control, and agency.claim0.796
  Second central claim: life and machine form a continuous multidimensional space, not discrete bins
• Biology's robustness, open-endedness, evolvability, and unique complexity likely depend on the fact that evolution works with an agential material.claim0.792
  Central claim linking life's properties to the inherent competencies of its material substrate.
• The boundary between agent and environment is not a physical object discovered in the world but a modelling choiceclaim0.791
  Established via Zanardi (2002) and the Hamiltonian decomposition argument in §2.1; foundational for the emptiness formalisation
• The larger task of making these processes genuinely morphogenetic so that they generate deeper and more coherent living structure—still lies on the horizon.claim0.787
• The large-scale morphological goals of an organism override and harness the local competencies of individual cells to adaptively navigate morphospace.claim0.785
  Describes top-down control in morphogenesis.
• Hybrid bioengineered systems blur distinctions between intelligent machines and conscious life.claim0.783
  Brain-machine interfaces and biological-electronic hybrids demonstrate no principled line between subjectivity and engineering.
• 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.claim0.782
  Asserts that the time is ripe for formal models.