Research Hypotheses
Project: The Heaven-Vector Compression Engine v4.0.0 OmniCrown
Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki
Status: very early prototype; hypotheses are unproven
HVCE is best viewed as an experiment in archive-level representation search. The current implementation motivates several testable hypotheses rather than a “world-first” or universal-superiority claim.
H1 — exact-description portfolios can complement mature codecs
Some data may have a short exact generative description that is awkward for a generic LZ/entropy model to infer. A bounded portfolio of cheap recognizers could sometimes recover such descriptions without imposing unacceptable overhead on ordinary files.
Falsification test: compare each recipe branch against strong modern compressors on blind corpora containing both matching and nonmatching structures, including selection/header cost.
H2 — cross-file state is an important general archive signal
Versioned backups, checkpoints, repeated assets, and generated outputs can share structure across file boundaries. Archive-level base/reference selection may recover compression opportunities hidden from independent per-file compression.
Falsification test: compare against solid 7z, zstd dictionary/long-distance modes, ZPAQ and dedicated delta/versioning tools on realistic version histories.
H3 — representation transforms should be selected by total description length
Bit planes, deltas, residuals, and separable-field encodings are useful only when their model/metadata cost plus entropy-coded residual is smaller than the alternatives.
Falsification test: ablate each transform and measure net bits, CPU and RAM over heterogeneous public corpora.
H4 — causal decoder-synchronized predictors can provide a practical middle ground
A tiny deterministic online predictor has no external model file and can be decoded exactly. It may offer useful residualization for some sources while avoiding the distribution/dependency burden of a large neural model.
Falsification test: compare against classical context models, simple linear predictors, Brotli/zstd/xz preprocessing, and modern neural compressors with model cost accounted for.
H5 — distant-domain abstractions can generate useful engineering heuristics
The project borrows language from modal/separable nanophotonic fields and persistent world-state representations. The scientific value lies only in whether those abstractions yield measurable compression or systems improvements.
No claim of new quantum mechanics, nanophotonic hardware, or post-quantum cryptographic security follows from the analogy itself.
What would constitute a meaningful breakthrough
A credible major result would require independent reproducible evidence that a clearly specified HVCE branch or combination gives a strong Pareto improvement in ratio/speed/memory on broad public corpora, or establishes a new useful theoretical bound/algorithm with peer-reviewable proof. The current release does not yet meet that bar.