claim
active
claim:living-things-are-not-20th-century-machines-but-may-be-21st-century-machinesLiving things are not 20th-century machines, but may be 21st-century machines.
Core thesis: the machine metaphor requires updating, not abandoning, in light of modern machine behavior.
Source paper
extracted_from(2021) · Joshua Bongard · Michael Levin
Neighborhood — ranked by edge-count
Thinkers (2)
thinker
- Michael Levinauthored
- Joshua Bongardauthored
Communities (3)
community
- Cross-scale frameworks linking spatial patterns, diagrams, and simplicity as expressions of care in design.
- Living systems as 21st-century machinesmembers_ofReconceptualizes life and biological complexity through modern computational principles—substrate-dependence, multiscale integration, irreducibility—rather than mechanical reductionism, bridging xenobiology and machine learning circa 2020s.
- Life-machine boundary dissolutionmembers_ofArgues 21st-century machines share properties once unique to living systems, collapsing categorical distinctions.
Frameworks (3)
framework
- OrganicismsupportsPhilosophical framework emphasizing wholeness, non-reductionism, and unique emergent features of life systems.
- Machine BehaviorsupportsEmerging multidisciplinary field at interface of artificial life, machine learning, and synthetic bioengineering that provides updated understanding of machines.
- Mechanism (Machine Metaphor)extendsLong-standing metaphor in science proposing that living systems function like machines, now in need of updating.
Claims (8)
claim
- Quantum computers, ML systems, and evolved machines exploit uncertainty rather than requiring determinism.
- Biological and technological systems increasingly manifest properties of both hardware and software simultaneously.
- Evolved machines increasingly exhibit self-similar, hierarchical structure like living systems.supportsArtificially evolved neural networks and robots often lack modularity unless selected for, resembling life.
- Machines can now make machines.supportsEvolutionary algorithms and self-organizing systems blur distinction between evolved and designed.
- Hybrid bioengineered systems blur distinctions between intelligent machines and conscious life.supportsBrain-machine interfaces and biological-electronic hybrids demonstrate no principled line between subjectivity and engineering.
- Challenges classical assumption that machines are separate from environment and each other.
- Deep neural networks, swarms, and complex autonomous systems require holistic ethological and cognitive approaches.
- Embodied AI, self-modeling robots, and 'life as it could be' blur the brain-body Cartesian divide.
Questions (1)
question
- What is an appropriate definition of machine, and does it apply to all, some, or no living forms?gatesCentral interrogative driving the paper's entire argumentative structure.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Paper arguing against machine metaphors for living systems, cited to clarify the distinction between tools and agents
- First central claim of the paper: the machine concept used in organicist critiques is historically contingent, not essential
- Key implication drawn from the sorting-algorithm and biobot evidence.
- Claim that the organism–machine dichotomy is outdated.
- General historical verdict.
- Even the beautiful descriptions of wholeness by scientists like Mae-Wan Ho remain mechanistic in detail and have not solved the bifurcation.
- Concluding pragmatic epistemology: the machine metaphor's value is heuristic, not ontological
- Foundational definitional question motivating the entire paper