People.
World population
UN projection · 2025
Doing business in the face of uncertainty.
The case for
computational
literacy.
Expert humans. Real projects.
Your work shipped. Guaranteed.
LEARN TO SPECIFY. EVALUATE. ADAPT. BUILD.The scale has changed ↓
2026 EDITION2025 DATA · SOURCES BELOW
People online.
Individuals using the internet
ITU estimate · 2025
GitHub accounts.
Platform participation
Octoverse · 2025
Firms using AI.
OECD countries with data
Business surveys · 2025
Computational literacy is what you can do.
Certainty 1:You are a poor communicator
You are a poor communicator
with the machines.
Give the machine something it can work with.
Try a working lesson ↓CERTAINTY 2YOU SUPPLY THE JUDGMENT
You are sufficient.
We all are.
What’s your favorite painting?
Choose. Watch a small model learn from you.
LOOK AGAIN
That slide made sense
to you, didn’t it?
Because you’ve been well trained (biased).
8% change. Same six numbers.
VERTICAL AXIS STARTS AT 98W1 → W6
Six invented values. Source: this exercise. A presentation can look convincing before you check it.
Certainty 3:
You are necessary.
The AIs need a guru.
You choose what matters.
Make the assumptions visible. Change them.
What matters?
CHANGE.
Explore.Learn.Adapt.Build.
Certainty 4: WTF is he talking about.
Business.
AI training and forward-deployed engineers.
People who build with you until you ship.
KEEP LEARNING0 OF 3 COMPLETED
Are you a
computer whisperer?
Specify. Automate. Train.
Inspect every result.
01 / SMALL BUSINESS
SHOW THE WORK.
LOCAL TEMPLATE / SYNTHETIC DATA
SYNTHETIC DATA. LOCAL COMPUTATION.
CHANGE.So you can work
So you can work
on better stuff.
Run commands against the current lesson.
YOUR TIME. YOUR WORK.
Who is doing what they
want right now?
Let’s all get there.
Build with Interdimensional ↗We just did the biz.
And we are still uncertain.
And we are still uncertain.
Adapted from Russell Foltz-Smith’s 2016 talk, The Case for Computational Literacy.