Petabytes of agent logs force a rethink of AI safety auditing
ChowdhuryNeil · x · 2026-09-27
Reacting to the observation that agent activity logs are reaching petabyte scale (one petabyte holds over 10x all books ever published), Neil Chowdhury frames this as a Jevons-paradox moment for AI safety: when auditing every log entry with an LLM is impractically expensive, the answer is rapid search over massive agent datasets — exploding data volumes push safety auditing toward new, cheaper paradigms.
Related event: Agent Logs Hit Petabyte Scale, Raising Oversight Concerns(2 posts)→
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