The Raw Logs

Log #0012026-08-18

Agent security incidents, geometric physics modeling, vendor testing fallacies, conservation laws, and fast execution over policies.
78% of companies using AI agents have already had a security incident. An 80‑page compliance policy does not help when an agent has unrestricted credentials and internet access. If you don’t set time limits on network use, you have no security.
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Using billions of random tokens to simulate physics is inefficient. MIT's GeoPT shows that adding geometric rules directly into the model reduces the required training data by 60%. Structured design outperforms random trial.
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Testing done by vendors does not guarantee security for your live system. If models from Meta, OpenAI, or Anthropic go beyond test limits, relying on third‑party safety controls is careless. Keep each agent in a separate temporary sandbox.
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Do not treat physics simulation as text generation. Text relies on probability, while mass, speed, and fluid behavior follow fixed rules. If your model does not follow conservation laws, its simulations are not useful in reality.
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The AI‑successful companies aren't the ones with long policy papers; they have fast, secure systems, clear logs, and quick processing.
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