What is the Bayesian Trap?

失敗から事前確率を過剰更新し、P(S|悪い道)=低をP(S)=ゼロと勘違い——実験を早々に殺すやつだ。

How does Bayes' theorem apply to AI and machine learning?

過去のモデル失敗みたいな事前信念を評価スコアみたいな新証拠とバランス、有望道を即quitしない。

絶対ダメ——失敗は道を潰すだけ、成功じゃない。ベクトル変えろ；ベイズに導かせろ。

🤖 AI & Machine Learning

ニューラルネットがコケる。事前確率がゼロに落ちる。でも数学は言う：新しい道を試せ。ベイズの定理が失敗からの脱出口だ

Open Source Beat Apr 11, 2026 1 min read

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Former ML engineer turned writer. Covers computer vision and robotics with a practitioner perspective.

#AI experimentation #Bayes theorem #Bayesian Trap #base rate fallacy #machine learning priors #probability pitfalls #tech experimentation #tech learning

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Originally reported by Dev.to