Developer Tools●●●Banger
412 deterministic modules so AI agents stop hallucinating commands
LLM picks modules instead of writing code—determinism and reusability without hallucination.
Big BrainSolve My ProblemShip It
ChesterHsu
113mo ago
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3 stars
A closed source engine that stops hallucinations deterministically
by MattijsMoens·Feb 26, 2026·2 points·3 comments
AI Analysis
○Pass
Marketing-heavy claims with zero auditable proof, no code, no reproducible benchmarks.
Strengths
- •Addresses real problem: RLHF/filtering is statistically fallible and provably bypassable.
Weaknesses
- •'Deterministic' AI safety is contradictory—LLMs are inherently probabilistic; rebranding doesn't change physics.
- •30-min Loom 'proof' is anecdotal theater; no peer review, no open methodology, no reproducible attack suite.
- •Closed source + extraordinary claims = impossible to verify; smells like fundraising narrative.
Category
Target Audience
AI safety researchers, enterprise security teams
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