~/talk

Asimov's Zeroth Law of Robotics: Observability for AI

slides:none on file

Argues a zeroth law: AI must be observable so other laws can be verified, and shows a concrete instrumentation stack: OpenTelemetry, OpenLit, Prometheus, Tempo, Loki and Grafana Cloud capturing tokens, temperature, model/version, cost, latency, retries, traces and logs. Demonstrates a Flask Python two‑player D&D demo instrumented end to end, then runs systematic tests and chaos/load scenarios with K6 load tests to detect hallucination, bias, rate‑limit faults and model drift and to compare model versions in CI.

AI-written summary · about

  1. 0:00The laws of robotics
  2. 1:18Robot logic failures
  3. 4:12The zeroth law of robotics
  4. 5:47Observing AI in practice
  5. 8:39Telemetry signals for AI
  6. 11:00Instrumenting with OpenLIT
  7. 12:10Demo: D&D AI assistant
  8. 16:32Visualizing AI performance
  9. 18:21Testing AI for reliability
  10. 20:03Systematic testing with k6
  11. 24:13Advanced testing strategies
  12. 26:21Future AI testing approaches
  13. 28:30Lessons from robot logic
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