Field Notes

Editorial notes on AI-engineering releases and research, each tied to its primary sources.

993 notes471 topicsJSON index
1-12 of 157 matching notes
  1. 3 sources

    Model Fit Needs a Task Taxonomy, Not One Leaderboard

    A mathematical taxonomy, an individual writing preference, and a small-model catalog show why asking which model is best is meaningless without task class, budget, and an accepted result.

    • evals
    • new-models
    • reasoning
  2. 3 sources

    Context Plumbing Becomes a Product Surface

    Web tools, configuration changes, and memory retrieval expose the layer beneath the model: context must be connected, bounded, versioned, retrieved, and injected deliberately.

    • context-engineering
    • memory
    • retrieval
  3. 4 sources

    Judgment Becomes the Scarce Resource in Agent Workflows

    As model competence rises, the bottleneck moves to choosing criteria, packaging questions for people, accepting results, and refusing to treat unread generated text as finished work.

    • workflow
    • agents
    • trends
  4. 4 sources

    Agent Security Moves Outside the Model

    As agent autonomy grows, security is moving to external boundaries: sandbox containment, network observation, protocol-aware policy, constrained credentials, and independent receipts.

    • security
    • agents
    • architecture
  5. 18 sources

    When Goals Enter the Org Chart

    The next durable unit of an AI-native organization may be neither a person nor an agent, but a bounded goal with memory, authority, resources, an execution runtime, and a proof of completion.

    • ai-native-organizations
    • agent-operations
    • organization-design
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