Cognivec · Research
Experiment reports
Selected reports from the research program, published as generated — including the negative results. All conversation corpora below are public, PII-redacted datasets (AIxBlock automotive & medical calls, Bitext support chat).
Cross-Industry Conversation Analysis
Semantic-physics features detect conversation phase transitions 2.5× above within-call shuffles, pinpoint critical micro-moments with 5–6× enrichment over baseline, and show the dominant semantic axis is universal across industries (99.9% PC1 correlation, automotive↔medical).
Honest Comparison: Cognivec vs an LLM
Where our features lose: on closed-set soft-close vs hard-close classification the LLM wins decisively (68% disagreement, Cognivec systematically too lenient). The honest recommendation is a hybrid pipeline — geometry ranks calls for free, the LLM classifies the top slice. We publish results like this on purpose.
Sample Deliverable: BDC Call Review
A worked example of the end product for a call-center manager: 120 calls triaged automatically, the 31 "soft close" calls that likely hold the week's lost revenue listed in priority order, with the evidence for each.
News Is Stochastic, Not Chaotic
A clean kill of a seductive idea: if the news flow were a low-dimensional chaotic system, chaos-theory tools would forecast it. We ran the full apparatus — Takens delay-embedding, recurrence quantification, largest Lyapunov exponent (Rosenstein) — on three countries' news-novelty series. Lyapunov ≈ 0 across all three: the news tape is stochastic, and dynamical-systems forecasting does not apply. Report in Russian.
Topology program · 15-year runs on daily news
Basins of the News
Each news day as a mountain landscape: topic capitals, watersheds, and passes named in words. The day after Brexit collapses into a single basin; the SVB hour splits into fear-of-the-year vs January data, with the pass running through the calendar. And 79.4% of days carry loops that are linked through each other. Market test of all scalars: honest null.
The Weather of Meaning
Optimal transport between consecutive days turns news into weather maps: a wind vector per word, a storm scale per day. The calmest day in fifteen years is Christmas — the sanity check passed. The scalar is market-silent; the wind direction is marginal and reported as exactly that.
The Law of Scalars
Ten barcode features per day, fifteen years, every one inside the placebo bands against next-day FX. Across the whole program the pattern never breaks: magnitudes of news geometry are market-silent, only directions ever survive. A uniform null elevated to a methodological law.
Interactive: Loops of Meaning
A semantic loop from the news, live: word vectors of a single day arranged in 3D, showing the closed circuit of meaning the coverage travels — including the day of the SVB collapse. This is the raw phenomenon behind the "topological holes" line: the loop is what the news keeps circling; the hole is what it never enters.
The Sound of EURUSD
Minute log-returns treated literally as an audio signal. The carrier is spectrally flat — white noise, exactly as market efficiency predicts. But the envelope (volatility) is where structure lives, and its spectrum carries a sharp weekly peak: an anthropogenic signature — the trading week itself — imprinted on the price process like a hum on a recording. Report in Russian.
Foundational studies · originals in Russian
Character = Destiny: 183 Writers
The core hypothesis tested at scale: a writer's semantic axis — the geometric mean direction of their language — carries their biography. Fate labels (tragic vs untroubled lives) were fixed before analysis; validation by leave-one-out with a 2,000-draw permutation null. The axis also encodes historical epoch (r = 0.71 with birth year). Report in Russian.
The Geometry of Talent
Can geometry alone tell a canonical author from amateur prose? Each text is run through a small LLM in teacher-forcing mode, comparing the word actually written against the word the model expected. Twenty deviation features per text separate classics from amateurs with AUC 0.88 — and the signature of talent turns out to be consistent, structured deviation from expectation, not randomness. Report in Russian.
Psychological Map of Sign Classes
Words cluster into discrete "sign classes" — patterns of pluses and minuses across the leading components of pair-difference space. Each class reads as a coherent psychological register, named by joint reading of its words, and the classes transfer across held-out authors. A vocabulary of style that generalizes. Report in Russian.
The Bible Through Vectors
A demonstration of method universality: the exact pipeline used for team communication — gram matrix, PCA axes with logit-lens poles, the "nerve" (the direction that most distinguishes a corpus from neutral English) — applied to scripture. Companion visualization: the New Testament fingerprint. Report in Russian.
Associative Portrait (concluded experiment)
A spoken word-association test turned into a personality instrument: free associations to 70 stimulus words, embedded and projected onto 17 robust psychometric axes built from 90+ antonym pairs, plus ~50 theme centroids and reaction-time analysis — yielding an interpretable "associative portrait" from a few dozen words. Consistent with published findings that embedding-scored associations correlate with standard psychometrics (r ≈ 0.3–0.6). The experiment is concluded; the public demo has been retired. Session-level reports contain personal data and are not published.
Markets line
FX Results Dossier
Headline results of the markets research line: eight surviving signal families (topological hole-direction, curvature bridges, semantic novelty, hard-pairs portfolio and more) with their out-of-sample Sharpe ratios and p-values — plus the graveyard of 100+ killed hypotheses that gives the survivors their meaning. Constructions and protocols deliberately withheld; verification offered by free 8-week forward-test instead.