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Information as the Fundamental Currency of Life

From genes to algorithms, how bits build bodies and power

April 15, 20265 min read
Information as the Fundamental Currency of Life cover

The ledger beneath life

Life runs on ledgers. Long before markets tallied money, molecules tallied copies. A gene’s success is measured in the accounting of information—how accurately it persists, how widely it spreads, and how deftly it engineers the bodies that carry it. Today, our societies are reorganized around new ledgers: platforms and sensors that price, predict, and optimize behavior. This essay follows one thread from the origin of replicators to the rise of the data economy, asking what we gain—and risk—when information becomes the coin of the realm.

Before bodies: the first currency was a copy

In a primordial soup, a molecule learned to make more of itself. Replication turned chemistry into history, because each copy preserved a record of what worked. Errors—mutations—created variety, and natural selection began to discriminate among patterns based on longevity, fecundity, and fidelity.

From this perspective, bodies are packaging—ingenious vehicles that replicators built to improve their odds. But the essential entity is the information that survives across generations. The key is not flesh but persistence: the copy that endures when everything else changes.

Life’s information stack

Life organizes information with stunning economy. DNA sequences are transcribed to RNA and translated to proteins via a universal triplet code. This directional flow—DNA to RNA to protein—became known as biology’s central dogma. A single base change can ripple upward to deform a protein and a life, proof that tiny edits to the code can carry vast consequences.

But code alone isn’t enough. Cells regulate what gets read and when, imprinting and erasing chemical marks as a kind of cellular memory. They also recombine genes, shuffling decks to generate variation—the raw material for evolution’s long computation.

Genes trade in expected value

If information is the unit, survival is an expected-value calculation. Genes prosper when they increase their representation in the future—by building bodies that allocate effort where the payoff is highest. Kinship becomes a discount rate on altruism: a gene can spread even if it causes self-sacrifice, provided the benefit to relatives—weighted by relatedness—exceeds the cost.

This math reframes “selfish” genes as cool accountants. They titrate care toward siblings, cousins, or offspring, and sometimes even toward non-kin when reciprocity can be reliably tracked. Bodies feel unified, but beneath the skin, strategies are scored in copies saved.

Cooperation needs ledgers, too

Vampire bats share blood with roost-mates that previously helped them. This tit-for-tat reciprocity requires memory—individual recognition and records of who gave what, when. Where records are trustworthy, cooperation flourishes; where they aren’t, it decays.

Context can turn rivals into partners in an instant. In a famous football match, news that a third team had lost transformed a zero-sum fight into a nonzero-sum truce: both clubs now benefited by drawing. Information changed the payoff landscape; the ledger’s structure—not the players’ character—drove the outcome.

The new lords of the ledger

Today’s platforms extend sensing into the world, creating an “Economy of Things” that extracts value from “dark data.” As more activity becomes computer-mediated, every act emits signals that can be priced, predicted, and optimized. The physical world is liquified into indices and tokens, readable by machines.

With this shift comes a political rearrangement. Who knows? Who decides? And who decides who decides? The answers once balanced across institutions now tilt toward firms that dominate society’s division of learning, claiming unilateral authority over the information life cycle.

Reflection

Who knows? Who decides? Who decides who decides?

Owning erasure: memory as a right

When a court affirmed the right to be forgotten, it challenged the presumption that private firms decide what remains in digital memory. The ruling forced a new kind of ledger correction: not just the power to write entries, but the power to delete them.

This is governance as information biology. Just as genomes mark, unmark, and silence sequences to maintain function, societies must regulate indexing and retention to balance utility with dignity. The right to erase is the right to resist compounding informational debt.

The hive and the hunger for metrics

Some social platforms operate like engineered hives, eliciting behavior under the perpetual gaze of metrics. The social mirror becomes an addictive instrument, compelling self-presentation and conformity. In this synthetic environment, value accrues to those who can capture, rank, and nudge the flows.

The imperative is simple and sweeping: turn experience into data, and data into prediction. When human worth is measured by contribution to the processing stream, interiority becomes noise and expression becomes inventory.

Two teams, one banker

On the final day of a football season in the 1970s, two struggling teams, Bristol and Coventry, faced off in a match that, at kickoff, was a classic zero-sum contest. If one won, the other would likely be relegated. Every tackle carried existential stakes, every minute a skirmish in a war both could not win.

Midway through, a message arrived: a third team elsewhere had lost. Suddenly, the payoff matrix shifted. A draw would save both. The aggression ebbed; the game softened into a careful choreography that preserved the tie. Fans saw what looked like collusion, but it was something subtler: a ledger update.

Information acted as an external banker, offering a nonzero-sum payout that neither side could unlock alone. The rules, field, and players stayed the same; only the accounting changed. It was enough to invert incentives, proving that competition and cooperation are not moral properties but outcomes of how payoffs are recorded. In biology, as in markets, the shape of the ledger shapes the game.

Designing humane information ecologies

Biology hints at design principles for healthier digital ledgers. Modularity contains damage—modern genes are organized in discrete units so mutations don’t corrupt the whole. Regulation and cellular memory let systems adapt without surrendering control, while recombination preserves novelty.

Our information systems could emulate these traits: constrain data flows into well-bounded modules, build enforceable rights to mark, silence, and erase, and maintain plural sources of variation and oversight so no single actor monopolizes the ledger. The aim is not to halt information, but to civilize it.

Action

Try this: map your top three data exhaust streams (phone, car, cards), set one concrete retention limit (deletion or export cadence), and add one reciprocity check (only share where you can later audit or revoke).

Key Takeaways

  • Life’s core unit is information that persists through replication, not the bodies that carry it.
  • The genetic “stack” (code, regulation, recombination) shows how complex systems govern information flow.
  • Cooperation depends on trustworthy ledgers—memory, recognition, and payoff structures—not just goodwill.
  • Modern platforms monetize behavior by liquifying the physical world into machine-readable signals.
  • Control over indexing, retention, and erasure is political power; the right to be forgotten asserts public authority over memory.
  • Social media’s hive dynamics convert experience into metrics, valuing data production over interiority.
  • Designing humane information systems means modular limits, enforceable controls, and plural oversight, echoing lessons from biology.
Reading time
5 min

Based on 220 wpm

Published
April 15, 2026

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