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Why Jev Is Changing How We Build With AI

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Why Jev Is Changing How We Build With AI

Why it matters

Diogo Almeida discusses Jev, TypeSafe’s model for bringing fast, reliable intelligence into software, and why he believes text-generation models are poorly suited to some real-world automation decisions. The conversation covers how Jev differs from classifiers and LLM-based approaches, reinforcement learning from calibrated decisions (RLCD), uncertainty estimation, and how models and code might work together in AI agents.

Discuss: How might Jev’s emphasis on calibrated decisions change the balance between models and code in AI-powered software?

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Watch: https://www.youtube.com/watch?v=9Aato-NfjoU

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