AI,
mostly.
Notes, code, and the occasional guide from 10x’er.
Current
Field note 001 / Ongoing
A short history
N-Grams to
Neural Networks
A 70-year map of the ideas between language statistics and modern neural networks.
Open field note
EVOLUTION / LANGUAGE MODELS
1948 → NOW
01
COUNT
frequency
02
PROB.
likelihood
03
VECTOR
meaning
04
ATTEND
context
Observation 01
Every new mechanism changes what the model can remember, not what it wants.
Artifact index
Read / Run / Inspect
A few
things.
Writing, code, and one guide.
Writing
N-Grams to Neural Networks
Part of the weekly series “How did we get here?”. An exploration of AI, its beginnings and how 70 years of innovation led us to what we have today.
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Writing
How Did We Get Here?
The 70-year arc that led to ChatGPT.
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Code archive
ML Implementations
Mechanisms rebuilt in readable, testable Python.
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Experiment
Minimal RLM
A compact recursive language model implementation.
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Field guide
Becoming an AI Engineer in 2026
Interviews, systems, evaluation, and what actually matters.
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