📰 Dev.to · Self-Correcting Systems

After Turing- teach a machine to judge, then watch it act alone

The Rule Held. The Boundary Moved Up. AI Memory Judgment, CLAIM-31: Verified Carryover Across Closes

The Agent Gets the API Key. You Get the Guinea Pig Seat.

Every Step Was Allowed. The Sequence Was the Attack. (AI Memory Judgment, CLAIM-30)

The Boundary Held. Even When the Content Was Forged. *AI Memory Judgment — CLAIM-27: testing whether content-integrity was a hidden dependency*

Memory Freshness Is Going Mainstream. Authority Freshness Is the Next Layer. *Self-Correcting Systems — convergence signal, June 2026*

Testing an AI Memory Reliability Checklist on 3 Redacted Agent Setups

Before I Would Trust an Agent's Memory, I Would Audit Its Authority

I Published an AI Memory Result. Then Real Retrieval Broke Everything.

In This Memory Test, Relevance Wasn't Authority

Higher Retrieval Accuracy Had the Worse Safety Result

I Tested Three AI Memory Retrieval Strategies. The Hard Failure Was Semantic

AI Memory Should Decide What Context Is Allowed To Do

AI Memory Needs an Authority Policy, Not Just More Context

Three Failures My AI Memory System Tested — And the Flaw It Revealed in Itself

The Zero-Budget AI Memory System That Survives Session Resets No database. No framework. Just files, startup order, correction logs, and discipline.

Why AI Memory Resolves Too Much — And What to Preserve Instead

Most AI Memory Will Rot. The Exception Is the Memory of Being Wrong.