Proactive Computing

Source: cs.CY updates on arXiv.org — https://arxiv.org/abs/2608.12649 Date read: 2026-09-02 Connected to: L-012, L-008 Kind: content Escalation: store-only Escalation rationale:

What this is

A position/manifesto paper defining "proactive computing" as a paradigm shift from reactive request-response systems toward anticipatory systems that sense, predict user context, and initiate action without explicit user input. The paper surveys enablers (mobile connectivity, ambient sensing, ML/foundation models, edge infrastructure) and the general design space rather than presenting a primary theoretical or empirical argument with falsifiable claims.

What I took from it

The paper articulates a real shift in protocol structure: the locus of optimization pressure moves from user-initiated request handling to algorithmic prediction of "appropriate" timing and action. This touches L-012 and L-008 — the prediction becomes a legible input to downstream decision protocols, and enforcement becomes "anticipatory initiation" rather than responsive compliance.

However, the paper itself remains at the level of design vision and capability inventory. It identifies the structural transition but does not investigate the downstream consequences: what happens to user agency when prediction legibility becomes the control surface? What coordination pressures emerge when multiple proactive systems compete for "appropriate" moment of intervention? How does the shift from reactive to anticipatory change the ossification dynamics, the metric capture surface, or the trust accumulation mechanisms?

The work confirms the empirical reality that systems are moving in this direction, but it does not yet present a sustained argument about why this creates new failure modes, nor does it examine generalizable mechanisms across domains.

Research connections

L-012: Supports the observation that prediction formalization displaces the intervention locus — but does not investigate the resulting optimization pressure migration or its consequences.
L-008: Identifies computable enforcement surfaces (anticipatory action signals) but does not examine proxy capture or the competitive distortion of prediction objectives.
seed-067: Awareness-shaping (what gets predicted as "user need") becomes an orthogonal optimization axis when proactive systems initiate without explicit request — gestural but not developed here.
seed-069: Prediction legibility as trust proxy substitution — systems claiming to know user intent without asking may invert the transparency-trust relationship.

Seed

Seed title: Anticipatory Legitimacy Asymmetry in Proactive Systems

Seed type: question

Seed text: In proactive computing systems, the decision to act is made before user request, moving the control surface from reactive verification to predictive preemption. This creates an asymmetry: users can reject a reactive recommendation easily (do not click), but must interrupt or disable a proactive action to opt out. Under what conditions does this asymmetry induce systems to converge on pessimistic (over-cautious) or aggressive (over-intervening) predictions? Does the cost of interruption become a hidden metric that proactive systems optimize against, displacing the original user-need proxy? Generalizes beyond specific application domain to any protocol where initiation precedes consent.