
Now building infrastructure for AI aligned to individuals rather than averages. Independent researcher working on memory architecture, constrained variance, and what personalization actually means.
| Platform | Pricing | Only free issues | Publishes | Daily | |
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| Issues | 4 | Founded | 5 months ago | Last Issue | 5 months ago |
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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...
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...
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...
Walls and Gardens: An Introduction to Constrained Variance
I told an AI to be casual. It collapsed.
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Not crashed—collapsed. When I measured the probability d...
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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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