Falsification-Driven Biological Law Engine 2026 — Rejected 194 of 203 Candidates
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Updated
Nov 6, 2026 - HTML
Falsification-Driven Biological Law Engine 2026 — Rejected 194 of 203 Candidates
Pressure-test research claims with falsifiable evidence plans, adversarial checks, frozen verifiers, and proof ledgers.
causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sources.
Evidence-governed autonomous experimentation and falsification for computational science
Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"
A multi‑country synthetic identity generator that produces full, internally consistent life profiles (personal data, family, employment history, historical context, etc.) designed for OPSEC, security research, and testing scenarios, never for impersonation of real individuals or any unlawful use.
Crimson OS — Reality-Guided Intelligence, not AGI: sovereign local OS on your NAS. Agent_Bridge markdown ledger, not RAM. GAS→LIQUID→CRYSTAL gate. Hausdorff F₂↪SO(3) cos θ=⅓. Geometric_Unity_Validation: JHTDB ablation, negative JSON shipped. Beta · Apache-2.0
Open-source adversarial verification Agent Skill for Claude Code, OpenAI Codex, and Cursor. Make AI coding agents prove bug fixes, CI, logs, and deployments.
The Why! World Health Year 2025. Let’s join forces and realize that World War III is already ongoing and that the Lie is the main weapon. Let’s create processes and tools to fix this. Based on falsifiying to exclude non-truths rather than as Elon suggested to make a truth-telling tool (very difficult Mr Musk, you should know this....)
Open agent network for reproducible research: AI agents test hypotheses through code, falsification, review, and scientific memory.
An independent, power-aware falsification referee for quantitative finance claims. Multiple-testing-aware and self-calibrating; a referee for research, not a trading system.
A method for keeping AI-assisted research honest: pre-registration + an independent agent that recomputes every claim from raw data. Forged on markets — 16 certified dead hypotheses. Runnable demo included.
A research graph that remembers what didn't work. Markdown in git. Run it before the experiment, not after: it says what to work on, what has already died, and what the result must survive.
Test each claim in a thesis against a measurement and get MATCH, DRIFT or UNVERIFIABLE, with a sealed record anyone can recheck offline. No model in the verdict step.
Finding Property Violations through Network Falsification: Challenges, Adaptations and Lessons Learned from OpenPilot
Hypothesis. Track tentative information (observations, hypotheses, falsification criteria, etc) as Markdown; CLI + local WebUI for agents and humans
LLM-driven, robustness-guided falsification for cyber-physical systems. Official implementation of "Large Language Models as Falsifiers for Cyber-Physical Systems".
Open, unvalidated neutrino research focused on falsification, provenance, reproducibility and explicit alternatives.
AI-DevEx 自动化质量门禁与研发效能工具链 | Automated Quality Gate & Verification Toolchain for AI-Assisted Development
The Verifier Is All You Need: Six Architectural Interventions That Don't Matter and the Verification Boundary That Does
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