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Post 3 - Building AI You Can Trust

A developer is building a memory system for AI that distinguishes current facts from outdated ones, addressing a blind spot where retrieval systems conflate similarity with recency. The work targets the problem of AI assistants confidently providing outdated information that used to be correct.

read1 min views1 publishedJul 10, 2026

Here's a problem that sounds simple and isn't:

Your AI coding assistant learned last month that your service runs on port 8000. Yesterday you changed it to 8080. Today you ask it about the port.

A normal retrieval system stores both facts. They look almost identical to it - one word different. When you ask, it retrieves both and has no idea which one is current. So it either guesses or confidently gives you the old answer.

This is the thing I've been working on: memory for AI that knows which facts are still true, not just which ones are similar. It turns out "similar" and "current" are completely different problems, and almost everyone conflates them.

I'll go deeper on the how in future posts. For now: this single blind spot is behind a huge amount of "why did the AI confidently tell me something outdated."

Has an AI assistant ever given you a confidently wrong answer that used to be right?

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