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Jaegeonyoon/README.md

Philosophy, AI, and open-source systems

I approach AI from a philosophical starting point.

My interests are epistemic and existential: what AI can know, how it should explain itself, how humans can trust or question it, and how meaning, memory, and responsibility can be preserved in future systems.

To turn these questions into working systems, I am returning to software development through open-source contribution, developer documentation, cloud-native tools, and AI-assisted development.

Open-source work

I keep a public log of selected open-source contributions, issue investigations, and technical notes:

Current focus

  • AI and knowledge systems
  • epistemic trust and AI reasoning
  • OpenTelemetry and observability
  • Kubernetes and Helm
  • developer documentation
  • cloud-native infrastructure

Pinned Loading

  1. opentelemetry-helm-charts opentelemetry-helm-charts Public

    Forked from open-telemetry/opentelemetry-helm-charts

    OpenTelemetry Helm Charts

    Go Template

  2. opentelemetry.io opentelemetry.io Public

    Forked from open-telemetry/opentelemetry.io

    The OpenTelemetry website and documentation

    JavaScript

  3. semantic-conventions semantic-conventions Public

    Forked from open-telemetry/semantic-conventions

    Open Policy Agent

  4. website website Public

    Forked from kubernetes/website

    Kubernetes website and documentation repo:

    HTML

  5. open-source-activity-log open-source-activity-log Public

    Curated public log of open-source investigations, pull requests, and technical learning in OpenTelemetry, Kubernetes, Helm, and cloud-native observability.