Jack and James

Issue 01 — Learning, in the open

Three tools the team is actually learning from.

A small, shared corner of the internet. Open one, click around, then leave a note for the rest of us — what clicked, what didn't, what we should steal for Cortex™.

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Hours explored

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People learning

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The reading list

03 — picks
01 · Statistics

Seeing Theory

Brown University

A visual introduction to probability and statistics. Drag, toss, and simulate your way through regression, variance and distributions.

Pairs well with: research design, A/B tests, NHR data interpretation.

Open tool
02 · Machine Learning

Interactive ML

interactive-ml.com

A playground for fundamental ML algorithms. Move sliders, watch decision boundaries and metrics shift in real time.

Pairs well with: model intuition, precision/recall debates, demo days.

Open tool
03 · Large Language Models

LLM Visualization

Brendan Bycroft

A 3D walkthrough of GPT-2 — every embedding, attention head and matrix multiplication, all in the open.

Pairs well with: Cortex™ internals, prompt engineering, onboarding.

Open tool

Log learning

What stuck?

One paragraph is fine. A sentence is fine. Future-you will be grateful.

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