Can You Learn Six Months of Material in 30 Days?
A challenge in Human Intelligence, Artificial Intelligence, and Lateral Thinking.
V3.0 Thinking Challenge Learnability PO × AIDon't Just Test What You Know. Test How You Think With AI.
Welcome to Test Your (A)IQ
What does it mean to be intelligent when artificial intelligence is available to almost everyone?
Is intelligence simply knowing the correct answer? Or does it also involve asking better questions, challenging assumptions, generating possibilities, exercising judgment, and accomplishing something meaningful?
Test Your (A)IQ is a new AIYING series exploring these questions through short, practical thinking challenges.
Each episode combines:
- IQ: Your independent reasoning.
- AIQ: Your ability to think and work with AI.
- (A)IQ: Your ability to combine human judgment, AI capabilities, and Lateral Thinking to discover and accomplish something new.
This is an educational thinking framework, not a standardized or scientifically validated intelligence test.
1. The Challenge
Imagine a student who has 30 days to develop practical competence in a subject that normally takes six months to learn.
The student has access to Generative AI, online resources, and sufficient motivation.
But time is limited.
Reveal the (A)IQ Discovery
The strongest choice is D, with an important qualification.
Begin with a suitably scoped practical task, while respecting essential prerequisites and safety requirements.
Option C can also be useful. A personalized plan may support the task-first approach.
The deeper discovery is not simply choosing D.
It is questioning whether learning must always precede application.
What if application itself could drive learning?
2. IQ — Think Independently
The conventional learning sequence is:
This sequence is useful, especially when a subject requires foundational knowledge.
But it also contains an assumption:
Learning must be substantially completed before meaningful application can begin.
Is that always true?
Consider learning photography, spreadsheets, programming, cooking, or a new digital tool.
People often begin with a practical problem, encounter difficulty, learn what they need, and then try again.
The question changes from:
How can I study six times faster?
To:
How might I redesign the learning process?
3. AIQ — Think With Artificial Intelligence
Generative AI offers several useful learning capabilities.
- Explaining unfamiliar concepts.
- Generating worked examples.
- Creating practice exercises.
- Asking diagnostic questions.
- Identifying knowledge gaps.
- Providing feedback on attempts.
- Suggesting alternative approaches.
But there is a subtle limitation.
If we ask AI to summarize an entire six-month syllabus, we may simply accelerate the existing learning process.
The greater opportunity is to use AI to redesign the relationship between learning and doing.
4. PO — Reverse the Learning Sequence
This is a deliberate Lateral Thinking provocation.
It is not a literal recommendation to undertake complex or safety-critical work without adequate preparation.
Its purpose is to escape the assumption that application must always come last.
In Edward de Bono's Lateral Thinking, provocation is used to interrupt established patterns.
We do not need to prove the provocative statement correct.
Instead, we use it as a stepping stone toward new possibilities.
5. Movement — Generate a New Learning Process
Movement 1 — Start With an Outcome
Instead of asking, "Which chapters should I complete?" ask:
"What meaningful task should I become capable of performing?"
Movement 2 — Attempt Early
Try a small, suitable task before completing every lesson.
The first attempt reveals what you already know and what you still need to learn.
Movement 3 — Let Difficulty Guide Learning
Identify the concept preventing progress.
Learn that concept and immediately apply it.
Movement 4 — Use AI as a Learning Companion
Ask AI to explain, question, demonstrate, and provide feedback.
But retain responsibility for your own reasoning.
Movement 5 — Verify Competence
Repeat the task, test the result, and explain what you learned in your own words.
Repeat this cycle as needed.
6. The (A)IQ Discovery
This changes how progress is understood.
Instead of asking only:
"How much material have I covered?"
We also ask:
- What can I now do?
- What can I explain independently?
- What mistakes can I recognize?
- What can I verify?
- What can I accomplish without AI completing the entire task for me?
This does not mean that every subject can be mastered quickly.
Deep understanding, foundational knowledge, and sustained practice remain important.
But task-driven learning offers another way to organize part of the journey.
7. Accomplish — Your First (A)IQ Experiment
Objective
Learn one small new capability by starting with a practical task.
Tool: ChatGPT
Suggested duration: 20–30 minutes.
Step 1 — Choose a Subject
Examples include spreadsheets, Python, AI evaluation, data visualization, or another practical skill.
Step 2 — Copy This Prompt
I want to learn [SUBJECT] through practical accomplishment. Propose one beginner-accessible task I can attempt in approximately 20 minutes. Do not teach me the entire subject upfront. Help me attempt the task first. Identify what I do not know. Teach me the minimum necessary concepts to make progress. Ask questions that require my own reasoning. Do not complete every step for me. After I finish, evaluate my work against clear success criteria. Finally, help me identify: 1. What I learned. 2. What I can now do. 3. What I still do not understand. 4. What I should attempt next.
Step 3 — Attempt the Task
Do the work yourself. Use AI for explanations, hints, and feedback.
Step 4 — Verify Your Result
Check the output using suitable evidence or tests.
Ask yourself whether you could repeat the task and explain the important steps.
Step 5 — Record Your Accomplishment
Checklist selections are local to the page and are not stored or submitted.
8. What Does This Tell Us About Intelligence?
Traditional IQ tests measure selected cognitive abilities under standardized conditions.
Test Your (A)IQ explores something different:
How effectively can human reasoning, artificial intelligence, and creative thinking work together to produce a meaningful result?
AI can generate information, explanations, and alternatives.
Human intelligence remains essential for framing problems, evaluating evidence, exercising judgment, and deciding what matters.
The purpose is not to outsource intelligence.
It is to expand what we can intelligently accomplish.
9. The (A)IQ Takeaway
It also includes the ability to discover a better way to learn.
And in the age of AI, that ability may become increasingly valuable.
10. Coming Next
If three AI systems provide the same answer, should we trust their agreement?
Or is there another hidden assumption waiting to be challenged?
Further Reading
- Edward de Bono, Serious Creativity: Using the Power of Lateral Thinking to Create New Ideas (1992).
- ChatGPT — Practical AI Learning Tool
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