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Delivered October 8, 2026

Decision APIs, edge models, and knowing when to stop

  1. Story 1

    Decisions API is in public beta

    OpenAI’s public beta returns typed decisions from text and images, with GPT-6 Luna as the supported model.

    Why it matters: Classification and routing workflows can request a typed result without parsing a prose answer.

    Read the primary source ↗
  2. Story 2

    Multimodal open d1 decision models for the edge

    LiquidAI’s open d1 models target edge decisions; the smaller multimodal release remains experimental.

    Why it matters: Edge-device builders can evaluate a local decision model for bounded tasks instead of generating an answer token by token.

    Read the primary source ↗
  3. Story 3

    Bridging technical depth and usability: The story behind Radar’s redesign

    Radar’s redesign puts traffic and outages on a map, with a clearer path into detailed Internet data.

    Why it matters: Teams explaining an outage to less technical colleagues have a clearer starting point for exploring the affected geography.

    Read the primary source ↗
  4. Story 4

    Apple Pass Designer

    Pass Designer combines Wallet pass templates, device previews, field editing, and validation in one tool.

    Why it matters: Teams can review a pass’s appearance and required fields before handing the design off for distribution.

    Read the primary source ↗
  5. Story 5

    Part 3: Knowing when your agent doesn’t know: the confidence layer

    The guide connects calibrated confidence, independent review, and human handoff to control when an agent acts automatically.

    Why it matters: Agent builders need measured thresholds and an escalation path before allowing uncertain outputs to trigger actions.

    Read the primary source ↗
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