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Microsoft separates decision-making from generative AI with a new model

Microsoft has launched Decision-1, an AI model that returns probabilities for predefined answers, allowing software applications to use its outputs directly instead of processing a free-form response from a large language model (LLM). The model targets tasks such as classifying requests, prioritizing incidents, and checking AI-generated responses. Microsoft says it can handle these decisions with…

Microsoft separates decision-making from generative AI with a new model

We haven't written up this one. Computerworld has the full story — the link below goes straight to it.

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Seu agente não é consistente: por que uma única execução não prova que ele funciona

O mesmo agente, o mesmo modelo, o mesmo prompt e o mesmo ambiente. Rode de novo. O resultado muda. O paper Identical Runs, Different Results: Benchmarking AI Coding Agents on Open-Weight Models…

  • Identical runs of same agent-model-prompt produced different results
  • Variation between identical runs > difference between different combinations
  • Tens to hundreds of runs needed to reliably order agents

How to Use AI to Compare Two Versions of the Same Real Estate Feasibility Model Published

Comparing two versions of a real estate feasibility model sounds like a different problem. It's mostly an interpretation problem. Excel can tell you that 214 cells changed. It can't tell you that three of those changes explain a four-point swing in IRR and the other 211 are formatting side effects.

  • AI can interpret complex model changes beyond simple cell diffs
  • Classify changes into inputs, formulas, hard-coded values, and value changes
  • AI explanation helps identify root causes of output metric shifts

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