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AI Accuracy Is Not the Problem. Decision Risk Is.

This story is from 2026-10-23. It is preserved in the archive; the latest stories are on the live feed.

Why production AI systems need more than accurate models, and how to build automation that remains reliable when predictions are wrong. There has been a lot of discussion about comparing Jev with traditional large language models (LLMs). Most comparisons focus on which model gives more accurate ans…

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  1. 2026-10-23 16:12 · DEV Community — AI
    AI Accuracy Is Not the Problem. Decision Risk Is.

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  1. OpenAI makes its Jev competitor widely available as decision model competition heats up — TechCrunch AI
  2. Webinar Recording: Getting Started with Jev for AI Agents — r/learnmachinelearning
  3. Exploring Open Problems in AI Routing: Beyond Classification and Confidence Scores — r/AI_Agents
  4. Mica v0.5: The smartest 4B decision model is also the fastest one. 20 ms per answer, 25x faster than Jev — r/LocalLLM
  5. Using Jev to determine if an event occurred or not — r/PromptEngineering
  6. A former ChatGPT researcher says better chatbots won’t get us to AGI. His alternative doesn’t generate text at all. — r/agi
  7. The Sequence Learning Loop - Issue #955: From Persistent Agents to Decision Models — TheSequence
  8. The costs of “decisions” has dropped 10x in just a few months — r/LocalLLaMA

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