You use it and cannot explain it
The answers arrive and you have no model of where they come from.
Courses
See what you would learn
Know what modern AI can and cannot do, and why it gets things wrong.
A course on how today's AI systems work, for people who use them and do not trust their own understanding. It covers how models learn patterns, why they make confident mistakes, and how to judge the claims made about them.
Open Cadence on the App Store, type the sentence when it asks what you want to learn, and answer a few setup questions. Free to start. Android testers can request early access.
Type this when Cadence asks what you want to learn
I want to understand what modern AI can and cannot do. Explain how it learns patterns, why it makes mistakes, and how to judge claims about its capabilities.
Change any word so it fits your situation. The course is built from what you type and a few setup questions.
- Best for
- AI & technology
- Prerequisites
- None. Bring the situation you have.
- Course length
- 7 to 30 lessons, sized to your goal
- Lesson pace
- About 10 minutes a day
- Format
- Read it, or play the audio
- Access
- Available on the App Store, with early features and Android testing access
Before the course is built
Setup asks about your situation first.
Lesson 1 opens on the moment you describe, and the examples use your role. For this request, expect questions like these.
- Do you use AI tools already, and for what?
- Is your interest practical, professional, or mainly curiosity about how it works?
- Which claim about AI do you most want to be able to judge?
Right for now
If any of this sounds familiar, start here.
The hype and the fear both sound plausible
You cannot tell which predictions deserve attention.
You are asked for an opinion at work
Someone wants to know what AI means for your team and you would like your answer to be grounded.
Course arc
Where the course goes, in order.
Cadence writes the lessons for you, so the exact path follows your answers. This is the ground a course built from this sentence covers.
01 / 06Learning from patterns
What training actually does, and why a model has no facts, only regularities.
Why it sounds so sure
Fluency versus accuracy, and where confident nonsense comes from.
What it is good at
Tasks that suit pattern learning, and why they cluster where they do.
What it is bad at
Counting, recency, reasoning under new conditions, and the reasons behind each.
Reading the claims
Benchmarks, demos and predictions, and how to weigh each.
Your own working model
A short account of how AI works that you can explain to someone else.
What changes
What you will be able to do, and what you will stop believing.
You will be able to
Explain how models learn
Describe pattern learning from data in plain words, without maths.
Predict where it fails
Anticipate confident errors from how the systems work.
Judge capability claims
Ask the questions that separate a demonstrated capability from a projected one.
Ideas this course corrects
AI understands what it says
It produces text that fits patterns in its training. Understanding, in the human sense, is not part of the mechanism.
It will keep improving at everything
Progress is uneven. Some limitations follow from how the systems work, not from their size.
Course questions
What to know before you start.
Is this a fixed course?
No. Cadence builds the course when you type the sentence and answer a few setup questions, so the lessons follow your situation. This page describes what a course built from this request covers. You see the whole path before Lesson 1.
Who is this course for?
A course on how today's AI systems work, for people who use them and do not trust their own understanding. It covers how models learn patterns, why they make confident mistakes, and how to judge the claims made about them. It sits under AI & technology in the Work & ambitions part of the library.
Do I need any prior experience?
No. Setup asks what you already know and where you want to use it, and the course starts from there. Bring a real situation if you have one; the examples are built around it.
How long does it take?
Courses run 7 to 30 lessons of about 10 minutes, sized to what you asked for. One lesson a day is the intended pace, and you can go faster. Lessons can be read or played as audio.
Does this course award a certificate or degree?
No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.
Start today
Type it, answer a few questions, open Lesson 1.
The sentence to type
I want to understand what modern AI can and cannot do. Explain how it learns patterns, why it makes mistakes, and how to judge claims about its capabilities.
Open Cadence on the App Store, type the sentence when it asks what you want to learn, and answer a few setup questions. Free to start. Android testers can request early access.