Field Notes

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

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1-12 of 157 matching notes
  1. claude.com

    Anthropic AI-Native SDLC Playbook

    Anthropic's playbook argues the software lifecycle, not code generation, is now the constraint: the six stages survive but stop being discrete phases owned by separate roles.

    • agents
    • ai
    • ai-software
  2. openai.com

    Jalapeno first inference results

    OpenAI published measured results for Jalapeño, its first custom inference chip, claiming 1.5-1.9x more work per watt and 1.7-3.6x lower latency on a public third-party benchmark.

    • agent-retrieval
    • agents
    • ai
  3. github.blog

    GitHub Copilot moves into Slack and Microsoft Teams

    GitHub's Slack integration now starts Copilot agent sessions that triage issues, fix failures in a cloud sandbox and open pull requests, with GitHub as a launch partner for Slack Code.

    • agents
    • ai
    • ai-software
  4. blog.cloudflare.com

    Cloudflare Spectre attack against Workers

    Cloudflare rebuilt a remote Spectre proof-of-concept against production Workers and found a limitation in the process-isolation defence it shipped after the 2021 assessment.

    • agent-security
    • agents
    • ai
  5. huggingface.co

    Role Anchor exposes role drift in compound LLM pipelines

    A paper names role drift: modules in a compound LLM system keep end-task accuracy while quietly abandoning their assigned roles, a failure invisible to system-level evaluation.

    • agent-security
    • agents
    • ai
  6. huggingface.co

    Measuring benchmark optimization in speech recognition

    Hume's team argues public voice benchmarks now measure familiarity with the test, and adds held-out sets to three leaderboards to separate learned patterns from real capability.

    • agent-retrieval
    • agents
    • ai
  7. arxiv.org

    Full-bandwidth Transformers

    A preprint widens the narrow vertical channel between decoding steps by feeding the previous top-layer hidden state back in, letting non-verbalized computation re-enter the stack.

    • agent-security
    • agents
    • ai
  8. arxiv.org

    Policy Algebra for trust-preserving agent execution

    A preprint argues capability is not reliability: an agent is reliably capable only when every action stayed admissible under identity, data, budget, approval and audit constraints.

    • agent-security
    • agents
    • ai
  9. arxiv.org

    Agent Lightning v1.0

    Agent Lightning v1.0 names the pattern where the deploy-time harness owns the environment loop during reinforcement learning, and catalogues the training problems that creates.

    • agent-security
    • agents
    • ai
  10. developers.googleblog.com

    How to evaluate live and voice agents in ADK

    Google brought live evaluation into ADK: a simulated user speaks its turns as audio so spoken replies can be scored inside the same eval loop already used for text agents.

    • agent-security
    • agents
    • ai
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