Post by MarkEAre these statements correct? Could they be better expressed?
Local entropy can decrease in an open system with an input of free energy.
Free energy alone is not sufficient to maintain or further decrease low
local entropy: an energy capture and transformation mechanism is also
needed.
Extant life *maintains* low local entropy through its organisation and
processes.
Evolving life *decreases* low local entropy through the ratcheting
mechanism natural selection acting on random mutations in instances
where that evolution increases functional complexity and organisation.
There is no other known mechanism apart from natural selection that does
this. For example, neutral drift alone increases entropy.
And for anyone interested, a response to the same prompt from version
4o1 which "Uses advanced reasoning", compared with the response from
version 4o which is "Great for most tasks". Pretty similar at a glance?
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Thought for 5 seconds
Below is a brief commentary and critique of each statement, with an
emphasis on clarifying terminology (especially entropy) and the nuances
of biological and thermodynamic processes.
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1. “Local entropy can decrease in an open system with an input of free
energy.”
Commentary:
• This is a standard thermodynamic principle: while overall entropy in
the universe increases, an open system can experience a local decrease
in entropy if it receives sufficient free energy from the environment.
Examples include crystallization processes, growing organisms, and the
organization within cells, all of which export heat or byproducts that
increase the entropy of their surroundings.
Critique:
• The statement is accurate but can be misread if one is not familiar
with the distinction between local and global entropy. Emphasizing that
“the total entropy (system + surroundings) still goes up” can prevent
misunderstandings.
• “Local entropy” can refer to thermodynamic entropy, informational
entropy, or the more general concept of “order.” Being explicit about
which is intended (usually thermodynamic) helps clarity.
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2. “Free energy alone is not sufficient to maintain or further decrease
low local entropy: an energy capture and transformation mechanism is
also needed.”
Commentary:
• Merely having access to free energy (e.g., sunlight, geothermal heat)
does not guarantee that a system will organize itself or maintain lower
entropy. You need a process—such as photosynthesis or chemiosmosis—that
harnesses and transforms that energy into work.
• In living systems, enzymes, membranes, and metabolic pathways are
crucial for channeling energy into productive, entropy-lowering processes.
Critique:
• This is a well-stated point because it highlights the importance of
structure and function in living (or pre-living) systems. For example,
an RNA-based protocell requires not just nucleotides and energy sources
but also a catalytic or templating mechanism to assemble and replicate
its molecules.
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3. “Extant life maintains low local entropy through its organisation and
processes.”
Commentary:
• Living organisms are prime examples of open systems. They maintain
internal order (low entropy) by constantly taking in free energy (food,
sunlight, etc.) and expelling waste heat and byproducts.
• Metabolic pathways, cellular repair, and reproduction all rely on
organizational frameworks that keep internal processes efficient and
structured.
Critique:
• The statement is accurate as a broad description of how life combats
entropy. However, a reader should remember that the net process
(organism + environment) still increases entropy overall.
• Additionally, “low local entropy” might be reworded to “high degree of
order,” since “low entropy” and “high order” are sometimes more
intuitive phrasing in discussions about life’s internal maintenance.
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4. “Evolving life decreases low local entropy through the ratcheting
mechanism natural selection acting on random mutations in instances
where that evolution increases functional complexity and organisation.”
Commentary:
• Evolutionary theory does suggest that in many lineages, complexity and
functional organization can increase over time. Natural selection, in a
“ratchet-like” manner, preserves advantageous variations and discards
harmful ones, cumulatively leading to higher organizational states in
certain contexts (e.g., the evolution of multicellularity, complex organ
systems, etc.).
• This ties an informational notion of entropy (where more complex,
well-ordered genetic or phenotypic structures might be considered “lower
entropy”) to evolutionary mechanisms.
Critique:
• Saying “decreases low local entropy” can be confusing, because in
strict thermodynamic terms, even highly complex organisms still produce
substantial entropy in their surroundings. The statement seems to lean
more on informational or organizational entropy (sometimes discussed in
evolutionary biology).
• Evolution does not always lead to increased complexity. Some lineages
undergo simplification (e.g., parasites lose functions). Thus, the
directionality toward greater complexity is not universal, but where it
happens, selection can indeed ratchet complexity upward.
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5. “There is no other known mechanism apart from natural selection that
does this. For example, neutral drift alone increases entropy.”
Commentary:
• Natural selection is indeed the main evolutionary mechanism that
systematically drives adaptive increases in complexity or organized
function. Neutral drift, by contrast, is random with respect to fitness
and can lead to loss of function or accumulation of “junk” over time,
which some might call an increase in entropy or disorder.
• From a purely adaptive standpoint, selection is the only consistent
force that pushes complexity upward (when complexity correlates with
higher fitness).
Critique:
• The statement might be too strong if taken literally. Gene
duplication, horizontal gene transfer, and other genetic processes can
contribute to increased complexity, but they typically rely on selection
to retain those beneficial changes over time. Hence, these additional
mechanisms plus selection shape complexity.
• Neutral drift does not always just increase entropy—sometimes neutral
or nearly neutral changes become exapted for new functions, later
co-opted by selection. So, while drift by itself does not drive
functional complexity, in combination with selection it can still
produce complexity.
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Final Thoughts
Overall, the statements highlight key ideas about how living systems can
locally decrease entropy (in the sense of increasing organization) and
how evolution—powered by natural selection—can lead to increased
functional complexity. The main points to clarify or refine involve:
1. Distinguishing local from global entropy (to avoid thermodynamic
misunderstandings).
2. Differentiating between thermodynamic entropy and
informational/organizational concepts of entropy (commonly used in
evolutionary and systems biology).
3. Emphasizing that natural selection works best when combined with
other genetic mechanisms (drift, mutation, recombination, etc.) to
create new variations, even though selection is the primary driver for
preserving complex, lower-entropy (i.e., more organized) states in
living systems.
These statements, with minor refinements, provide a good conceptual
framework for understanding how open systems (like organisms) maintain
and even extend internal order over time, despite the universal increase
of entropy in closed systems.