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Ed Sweeney
navicore
Software Engineering Manager, startups and enterprise, lots of experience with fintech, retail, IOT, and AI.
The Patch Languages are a small family of embeddable languages designed to
co-exist without collapsing into a single compromised “one language to rule them
all.” Each Patch language is intentionally tiny, opinionated, and good at
exactly one thing.
Alternative Computer Architectures: Overview, Timeline, and Diagrams
This document summarizes several historically important non–von Neumann (or von-Neumann-adjacent-but-alternative) architectures, compares them, and places them on a rough timeline. It also includes example Graphviz and PlantUML diagram source you can render locally.
Convincing Isn’t Correct: Why You Must Fact-Check AI
Most of the AI headlines today are about LLMs, short for Large Language Models.
When we say “tokens” in this context, think of them as little pieces of text — often whole words, sometimes parts of words or punctuation.
What AI really does
An AI language model is a token predictor. It looks at huge amounts of text and learns which pieces of text usually follow others. That’s it. There’s no built-in check for truth. It doesn’t know fact from fiction—it just knows what’s statistically common.
Why training can’t fix this
Some people assume you can “train AI for truth.” But there’s no truth label on all the text of the Internet. Even fine-tuning with curated correct examples only adjusts probabilities—it doesn’t change the fact that the model is a probability machine at its core.
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