Temporal Inversion for MiroFish: Bayesian DAG Reversal in ~46ms (0 LLM calls)

Dev.to AI
Generative AI Data Science

What I Built I forked MiroFish (swarm intelligence prediction engine) and added Temporal Inversion - answering "What had to be true for this outcome?" by reversing the prediction DAG with Bayes' theorem. No LLM in the math core: ~46ms, 0 API calls. Repo: github.com/BAESY2/MiroFish The Idea MiroFish simulates forward: seed → uncertainty grows → predictions. This fork inverts backward: outcome ← certainty grows ← preconditions. Temporal pincer: combine forward and inverted views; the Turnstile is where the outcome becomes effectively inevitable.