Falsification-Driven Biological Law Engine 2026 — Rejected 194 of 203 Candidates
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Updated
Jul 4, 2026 - HTML
Falsification-Driven Biological Law Engine 2026 — Rejected 194 of 203 Candidates
Reviews pull requests for the shortcuts AI coding agents take to look done without being done: relaxed tests, swallowed errors, fake renames, 11 checks in all. Flags them for a human by default, or blocks the merge if you turn that on. Can also turn a goal into a checklist and only accept a patch once every check passes.
causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sources.
Pressure-test research claims with falsifiable evidence plans, adversarial checks, frozen verifiers, and proof ledgers.
Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"
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
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....)
Finding Property Violations through Network Falsification: Challenges, Adaptations and Lessons Learned from OpenPilot
Open agent network for reproducible research: AI agents test hypotheses through code, falsification, review, and scientific memory.
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.
Public-safe falsifier lab for observer-aware AI research: synthetic demos, evidence gates, negative controls and witness logs.
A falsification-first quant research project: a confirmed multi-asset TSMOM core, then four overlays (crash-defense, vol-breakout, seasonality, yield-curve regime) and a cross-sectional momentum (XSMOM) counterpart — all systematically tested and honestly rejected, each with a mechanism. Paired-bootstrap + BH-FDR throughout.
Source-available IX-Function causal-transfer harness: tests cross-domain causal structure reuse through pre-outcome prediction, reality-delta scoring, uncertainty preservation, falsification, negative controls, model review, donor handoffs, and bounded Wave 6 review gates. No AGI claim.
Provenance-first nuclear-data audit toolkit for superheavy nuclei: IAEA/AMDC/ENSDF-style ingestion, decay-chain observability, route-feasibility scoring, Bayesian/Monte Carlo sensitivity, benchmarks, ablation, and falsification logic.
MIT synthetic simulation sandbox for observable runs, falsifier examples and public-safe research boundary demos.
Evidence-first Claude Skill for anti-apophenic reasoning: falsification, null models, confidence gates, controls, and strict verdicts before pattern claims.
Evidenced-negative taste object — failed the geometry-bearing fit gate (metric_fit 0.207 vs 0.6 threshold). The committed negative reference is preserved as the lab record. No positive taste codec is claimed.
Calibration and falsification toolkit for AI claims: null models, evidence grades, claim boundaries and observer-aware workflow examples.
PressureX is an engineering evaluation package for a passive layered structural mitigation concept using shear-thickening fluid behavior to broaden impulsive loads and reduce peak transmitted response in high-vibration aerospace structures. Targets are design-intent until validated.
Falsification Chain of Thought — post-hoc verification of AI judgments using falsificationism to counter sycophancy bias
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