Multi-stable mechanical systems with energy barriers (ratchets) provide a physical model for how genetic states persist and discretely change.

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• The evolutionary process contains an intelligence ratchet: as competency increases, selection struggles to see the structural genome, further driving selection for competency mechanisms.claim0.788
  Explains why planaria with messy genomes have robust morphologies.
• Quantum mechanics is essential for explaining long-term stability of genetic structures against thermal perturbation.claim0.783
  Central claim: without quantum-mechanical energy thresholds and discrete states, hereditary information could not survive across generations.
• If the gene is a large molecule with discrete quantum states and high energy barriers between isomeric configurations, then it will exhibit long-term stability and rare spontaneous mutations.hypothesis0.782
  The core predictive hypothesis derived from Delbrück's model.
• Newtonian mechanics augmented by statistical mechanics cannot explain chemical bond stability or genetic persistence; quantum mechanics is necessary.claim0.781
• Evolution makes problem-solving agents, not solutions; commitment to mutation and uncontrollable environments as ratchet for intelligenceclaim0.773
• Isomeric molecules are equally stable despite identical energy levels because transition requires passage through higher-energy intermediate configurations.finding0.772
• Terence Deacon's 'Incomplete Nature' seems not to have understood the points about ratchets and multi-stability, or perhaps re-invented them with extraordinarily obscure terminology.claim0.771
  Sloman's harsh criticism of Deacon's philosophy.
• Multiscale systems like those prevalent in biology are capable of organizing into complex patterns, whereas rudimentary language models are challenged by long sequences of outputs.claim0.771
  Conclusion about why biology organizes complexity well and flat LLMs do not