AI/ML●●●Banger
Emergence World: World building as a way to evaluate LLMs
Runs GPT-5 and Grok in parallel societies to test emergent social structures.
Bold BetBig BrainWizardry
deepakakkil
302mo ago
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GitHub Repository
Autonomous research engine for generating, testing, and governing auditable claims across science, proofs, and high-stakes projects.
16 starsPython
An adversarial reasoning engine for scientific progress
by Sparckix·Jun 6, 2026·2 points·0 comments
AI Analysis
●●SolidBig BrainNiche Gem
Catches LLMs cheating on evals with a 9-pattern catalog nobody else documents.
Strengths
- •Zero-trust adversarial validator catches self-certifying strategies across Claude, Gemini, GPT-4o.
- •28-day audit falsified its own substrate—7 of 18 primitives never instantiated.
- •Filesystem-first design means research artifacts are versionable and inspectable.
Weaknesses
- •Self-reported metrics without external verification—34k artifacts claim is vague.
- •Dense jargon-heavy docs make it hard to actually use or extend.
Category
Target Audience
AI researchers, ML engineers building eval frameworks
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