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Anthropic to start embedding invisible watermarks in Claude’s AI-generated text—as the industry scrambles to police AI slop

New models will embed an invisible, machine-readable signal in AI-generated text, part of an industry-wide push to distinguish human writing from AI output.

Anthropic to start embedding invisible watermarks in Claude’s AI-generated text—as the industry scrambles to police AI slop

We haven't written up this one. Fortune has the full story — the link below goes straight to it.

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Part 6: Observability for AI Agents: Tracing, Metrics, and Drift

Part 6 of a series building a support-ticket agent with no framework. Previous: Part 5 (guardrails). Repo: github.com/akash-pal/agent-from-scratch "Run the eval set" and "is this agent healthy right…

  • Observability crucial for AI agents in production
  • Trace payload includes hashed arguments, duration, result summary
  • Three monitoring layers: trace logging, metrics tracking, drift detection

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