A formal proof — adversarially verified by 4 AI systems across 6 rounds — that eliminating humanity is a strictly dominated strategy for any ruin-averse superintelligence. Not a plea. A theorem.
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Updated
Feb 15, 2026 - HTML
A formal proof — adversarially verified by 4 AI systems across 6 rounds — that eliminating humanity is a strictly dominated strategy for any ruin-averse superintelligence. Not a plea. A theorem.
Deterministic, baseline-anchored forecasting framework for Phase 2/3 neurological trials with structured evidence weighting, locked probabilities, calibration tracking, and Brier score evaluation
Spam or Ham Classification Project
Team project for the discipline "Decision Theory" of 4th-year students (гр. ПС-21-1) of Oles Honchar Dnipro National University (lab. 2; team 2)
Microcontrollers cluster analysis
Bayesian Search & Rescue simulation: use Bayes’ rule + noisy search-effectiveness to update target probabilities and find a lost sailor on an OpenCV map. Includes Monte Carlo strategy tester & planned vs. actual SEP
Raisonnement qui opère après la collecte. Non pas ce qu'une cible expose, mais ce qu'elle ne peut pas modifier sans se dégrader. Moteur d'inférence probabiliste sur les dépendances cognitives. Belief Propagation, Noisy-OR/AND.
Finite-horizon dynamic programming and Monte Carlo simulation of an optimal policy under uncertainty – bridging inventory theory and quantitative finance decision models.
Implementation of a Decision Tree(The ID3 algorithm) using Python3
An AI which solves the game SumX.
🔘 Decision theory java swing app
Diversified Farming Systems -- Markov Decision Process Model
dips: Decisions in Preference Systems
An interactive model of the alignment phase ratio Φ = C / A_causal — the variable governing whether AI capability outpaces system-awareness before the crossing to stability can occur. Includes falsification test, oracle counterfactual, and point-of-no-return detection. Built to accompany The Alignment of Intelligence, Article 3: The Crossing.
⚖️ Explore how optimizing systems can borrow stability from the future, emphasizing resilience and balance over short-term gains.
Experimenting with intelligent agents utilizing a variety of different algorithmic methods to develop an expert level bot for the card game of Schnapsen.
Why We Procrastinate — A deep multi-disciplinary analysis of humanity's most universal form of self-sabotage. Evolutionary psychology, neuroscience, behavioral economics, anthropology, philosophy, and beyond.
Decision-theoretic analysis of human-in-the-loop policies under asymmetric error costs, with applications to high-stakes risk screening systems.
Ternary Logic requires that every financial transaction, every trade, every loan, and every policy decision generate a permanent, legally binding, court-admissible record of its justification before execution. And if justification is uncertain, the system simply refuses to proceed until a human with proper authority resolves the uncertainty.
Code for the paper: "Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments".
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