Only explicit retention is currently durable, writable, and addressable at once

Type: kb/types/note.md · Tags: learning-theory, self-improving-systems, agent-memory

A system that learns during operation must retain what it learned in some form, and the candidate forms differ on three properties that decide whether the retention can be governed. Durability: the retention survives the session or run that produced it. Writability: the system's own operation can change it. Addressability: processes inside the boundary can treat a retained commitment as an object — retrieve it, say what it claims, criticize it, revise it selectively, carry it to a new problem — since reflection buys addressability. Cutting across all three is the tacit/explicit divide of representational form: explicit forms (prose, symbolic) encode commitments readably; tacit forms (distributed-parametric state, conditioned context state, embodied human expertise) encode competence that cannot be read out as commitments.

Retention form Durable Writable Addressable
In-context conditioning no — dies with the session yes — every token writes it no — the transcript is addressable; the competence it induces is not
Weights, selection-only profile yes no — swapping the sealed component is the only lever no
Weights, with fine-tuning yes yes no — no per-commitment retrieval, criticism, selective revision, or rollback
Human expertise yes yes — practice writes it no — stable, perhaps, but not inspectable, diffable, or transferable
Explicit artifacts (prose, symbolic) yes yes yes

Addressability here is comparative, not absolute — the reflection note is explicit that opaque retention still admits indirect handles (behavioral probing, wholesale rollback, retraining, steering). The column records whether any handle operates on the retained commitment as an object, and for every tacit row the answer is no.

Two rows deserve unpacking. In-context conditioning looks explicit because its medium is text. But the readable transcript and the induced competence are different objects: no sentence of the transcript contains the calibration the whole context conditions into the model, so the competence cannot be excerpted, revised, or transferred sentence-wise — the transcript is the explicit trace of a tacit state. Fine-tuned weights and human expertise fail the same property, and the symmetry is the point: both are durable, writable (by training, by practice), and rich, and in neither can a single retained commitment be diffed, cited, criticized, or rolled back. Verification collapses to behavioral probing in both cases, exactly as the per-form review obligation in reflective coverage predicts for the parametric form. So when methodological closure declines to count a maintainer's tacit-but-stable criterion as retained methodology, and when a knowledge system declines to retain lessons by fine-tuning, they apply one criterion, not two special rules: closure and governance read the addressable channel.

Externalization is the transport, not a preliminary

The conversion of a human-held decision to computational execution puts settlement — making the criterion explicit — before allocation. The table shows that ordering is forced, twice over. In a system whose operation profile over the parametric form is selection-only, explicit artifacts are the only durable writable channel there is: nothing else inside the boundary can receive the criterion at all. And even where fine-tuning adds parametric writability, the transfer is unaddressable — what was allocated can no longer be stated, reviewed, or revised as a commitment, so the allocation escapes governance at the moment it succeeds. Either way, a criterion moves to a computational actor only through an explicit representation. Externalization is the transport mechanism of allocation, not preparation for it.

The claim is current, and its falsifier is named

This is an empirical claim about existing substrates, so its application to a particular system should be stated as a profile line over the parametric form, not as a fact about technology at large — Commonplace as a reflective system records a selection-only line, and everything this note forces (explicit-only retention, externalization as transport) is downstream of that line. What would break the claim is not more writability: fine-tuning exists now, and continual-learning pipelines only add write channels. The falsifier is addressability of a tacit form — interpretability-grade editing under which a weight-encoded commitment can be individually retrieved, criticized, and revised. A system whose profile line crosses that boundary owes every artifact derived from this claim a re-derivation.

Scope

  • Not a ranking. Tacit forms hold what explicit ones cannot: the residue — calibration, situational feel, style — that resists articulation and is often the competence that matters. The trade runs both ways, and the consequences for what to retain in which form are developed in retaining the episode keeps a distilled rule re-derivable.
  • Retention through an actor the system neither observes nor selects — a provider training on usage data — is excluded: whatever returns through later model versions is not a retention pathway of the system, and no property in the table applies to it.

Open Questions

  • Whether behavioral probing, evals, and activation steering constitute a graded middle — partial addressability worth naming — or stay indirect handles in kind.
  • Host binding: the tacit-knowing literature (Polanyi's "we know more than we can tell"; Nonaka's externalization step) is the natural host for the tacit/explicit side of this claim. Inheritance is deferred until the sources are ingested and a canonical statement chosen.
  • Whether the conditioned-state/transcript split recurs often enough to need a registered term.

Relevant Notes: