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Michael Diskint

Now building infrastructure for AI aligned to individuals rather than averages. Independent researcher working on memory architecture, constrained variance, and what personalization actually means.

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Latest Issues

Personalization Is Deviation

In the previous posts, I’ve described how memory provides direction — seeds that encode what matters, validation that keeps them accurate, retrieval that matches the moment.

But I haven’t explained what memory actually does to the AI’s beh...

5 months ago

What If Memory Isn't Storage?

There are basically four ways AI memory systems work today:

1. Summarization — ChatGPT and Claude’s native memory. The AI periodically extracts facts: “User is a software engineer.” “User prefers concise responses.” “User asked about Pyth...

5 months ago

Memories Aren't Static

In the last post, I argued that memory should store significance, not just information. Seeds instead of summaries. Value functions that encode what matters to you and how to weight things.

But that raises a question: how do you know if a...

5 months ago

Walls and Gardens: Freedom Within Constraint

Walls and Gardens: An Introduction to Constrained Variance

I told an AI to be casual. It collapsed.

Thanks for reading! Subscribe for free to receive new posts and support my work.

Not crashed—collapsed. When I measured the probability d...

5 months ago

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  • Michael Diskint

    Now building infrastructure for AI aligned to individuals rather than averages. Independent researcher working on memory architecture, constrained variance, and what personalization actually means.

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