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Attestly: Generate EU AI Act Annex IV docs from your agents’ operational traces

Most of the evidence needed for EU AI Act Annex IV documentation already exists inside the operational traces your AI agents produce — tool calls, human interventions, errors, model invocations, and deployment changes. Attestly reads those traces (OpenTelemetry, LangSmith, AgentOps, MCP logs, etc.) and maps them into structured technical documentation and evidence trails. Every section is clearly…

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I built an epistemic gate to stop LLM data poisoning during fine-tuning. Tested across 5 architectures, orchestrated on a 2006 Toshiba laptop for $0.

Hi everyone, For a long time, the AI industry has pushed the narrative that advanced safety research, data poisoning auditing, and model alignment require massive clusters and millions of dollars.

  • Researchers conducted 16 experiments on 2006 Toshiba laptop with 2GB RAM
  • Beatriz, an epistemic gate, detects data poisoning during fine-tuning
  • Beatriz provides low-cost solution to mitigate data poisoning risk

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