Kais

Introducing Open Collider: an open-source engine that mechanically improves LLM creativity. It generates non-trivial, high-quality ideas at scale, for any ideation problem. LLMs collapse on the same ideas. Sample the same brief 100 times → most outputs land in the same place. Researchers call it the Artificial Hivemind (Jiang et al., 2025). "Be more creative" moves the LLM's output by ~0.04 in embedding space. Forcing structurally distant domain collisions moves it by ~0.28. 7× more. Same model, same brief. So I built Open Collider: a pipeline based on the theory of bisociations (Koestler 1964), the same model that drives human creativity. 📊 Across 12 real-world ideation problems: •⁠ ⁠12/12 sign-test wins on embedding distance (p = .0002) •⁠ ⁠60%+ originality wins on 4,320 blind LLM-judge verdicts •⁠ ⁠4–13× further from the default cloud than "be original" prompts or longer context •⁠ ⁠Idea relevance holds (win rate >50% on overall quality) 💻 Engine: first reply 👇 📝 Launch study: pinned tweet Try it, Break it, Tell me what you find!

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