The Claude Code plugin replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. This points to a mechanism in which a rapid, local score determines what information is retained, causing older data to be discarded in favor of recent signals while the scoring rule itself can be gamed by increasing the immediacy of the signal.
The mechanism works as follows. Actors responsible for maintaining low latency — here the plugin developers — implement a scoring function that can be evaluated quickly for each incoming item. The function uses only features available at the moment of arrival, such as recency or frequency of recent use, and assigns a numeric value. Items whose score falls below a threshold are either removed or shortened; those above the threshold are preserved exactly as they arrived. Because the score is computed from transient signals, the decision to keep or drop an item depends on the recent history of similar items rather than on any enduring value. Consequently, the system continuously favors the newest inputs and systematically erodes older ones, even when those older inputs might be critical for future corrective actions. The incentive to keep the scoring step fast creates a feedback loop: users can influence the score by generating more recent activity, which in turn raises the score of their own contributions and suppresses competing older material. The result is a bias toward the present that is intrinsic to the design, not a malfunction of any particular component.
This same pattern appears in disparate domains whenever a fast, local metric is used to decide what to keep. In web search, pages are ranked primarily by click‑through rates measured over short windows; publishers respond by crafting sensational headlines that attract immediate clicks, while longer, substantively richer articles lose visibility because their score does not rise quickly enough. The penny press of 1830s New York operated on an analogous principle: editors selected stories that could be set and printed rapidly, favoring scandal and brevity over investigative depth, which required more time to verify and set in type. In high‑frequency trading, algorithms evaluate micro‑price fluctuations on the order of milliseconds to decide whether to hold or sell a position; the emphasis on the most recent tick can trigger cascades of sell orders that ignore longer‑term fundamentals, as seen in the flash crashes of 2010 and later. The 1920s ticker tape encouraged a similar chase of instantaneous price changes, contributing to the speculative fervor that preceded the 1929 market crash.
In biology, the adaptive immune system expands lymphocyte clones that bind strongly to antigens encountered recently; the clonal selection process is essentially a rapid affinity score that favors the newest antigenic challenge. This can leave the host vulnerable to pathogens that evolve slowly, a phenomenon observed during the 1918 influenza pandemic where immune memory to earlier strains hindered response to the novel variant. In legal reasoning, many jurisdictions give greater weight to precedent set in the last decade, treating older rulings as less persuasive; attorneys therefore focus on recent case law when crafting arguments, sometimes overlooking foundational doctrines that could provide stronger support. The Lochner era of the early twentieth century exemplifies this drift, as courts repeatedly relied on recent economic liberty cases to strike down labor regulations, ignoring the longer historical acceptance of such regulation.
Political polling aggregates often weight the most recent surveys heavily to capture shifts in voter sentiment; campaigns then allocate resources to the issues that appear to be trending, potentially neglecting slower‑moving but structurally important concerns. The 1936 Literary Digest poll, which relied on a massive sample but over‑emphasized recent telephone and automobile owners, mispredicted the presidential outcome because it failed to account for the enduring Democratic base among lower‑income voters lacking those possessions. In urban traffic management, adaptive signal controllers adjust green times based on the last few minutes of vehicle flow; this can produce oscillations that worsen congestion when the underlying demand changes gradually, a behavior documented in London’s early gas‑lamp timed intersections where operators repeatedly over‑corrected to recent fluctuations.
Military intelligence units frequently prioritize intercepts from the last few hours when building situational awareness, assuming that older signals are less relevant; this can conceal a buildup of forces that prepares for an action well ahead of time. The warnings preceding the attack on Pearl Harbor included diplomatic messages weeks old that were deprioritized in favor of newer, less indicative traffic, contributing to the strategic surprise. In consumer credit, scoring models weigh recent payment behavior heavily to predict default; applicants with a troubled past but a stretch of timely payments can obtain loans that later fail when older patterns reassert themselves, a dynamic that fueled the expansion of subprime mortgages in the mid‑2000s.
Across these cases, the underlying incentive is the same: reduce the time or computational cost of evaluating each item by relying on a signal that is immediately available. The mechanism that enacts this incentive is a fast scoring function that discards items below a threshold derived from that signal. Because the score is insensitive to the enduring value of an item, the system inevitably accumulates a bias toward the recent and becomes susceptible to manipulation through the generation of short‑term activity. The historical record shows that whenever such a scoring rule is introduced — whether in a printing press, a trading floor, an immune response, a courtroom, a polling agency, a traffic controller, an intelligence analyst, or a credit bureau — the same degradation of long‑term fidelity follows, regardless of the specific technology or era.
The essential unresolved fact is that as long as the retention decision depends on a rapid, locally computed score, the system will systematically undervalue historical data and remain vulnerable to gaming; any remedy that preserves the scoring principle while attempting to recover lost context must either increase latency or introduce additional layers of indirection, thereby altering the very incentive that made the fast score attractive in the first place. The tension between speed and completeness is not a flaw to be patched but a structural trade‑off inherent to the mechanism itself.