Interesting result tbh. The fact it kept circling back to the same niche feels less like randomness and more like the system exposing its own bias/optimization path. Did tweaking the reward criteria change the outcome much?
23 Times my autonomous AI engine re-discovered teh same niche
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@[hussent] The engine pulls from a wide range of signal sources, each weighted equally — so the overall input isn't biased toward AI / tech. That's exactly what made the EU AI Act signal stand out:
Even with that balanced setup, the AI / tech sources (industry news, tech blogs, AI-related feeds) still produced an unusually concentrated signal — and specifically concentrated on EU AI Act compliance, not on any other AI hot topic. LLM inference, agent frameworks, MCP tooling, RAG, embeddings — none of them took comparable share within that source category.
In other words: given diverse sources at equal weight, a single source category still produced an overwhelming signal pointing at EU AI Act, and the same result repeated across multiple independent runs. That "within-source concentration" plus "repeatability across runs" is what actually let me commit.
After the engine converged 23 separate times on the same niche, I built ComplianceLint.
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