Age problems: one model, five versions
From ages 40 and 30 to the 69–65 puzzle: derive the (4k, 3k) model and solve five variants with AI.
ReadArtificial intelligence and thinking
Artificial intelligence and thinking
Essays on reasoning, education and work in the age of artificial intelligence.
Artificial intelligence and thinking
The programmer in the age of artificial intelligence
From MOSAICO to intent-driven programming: experience, architecture, verification and responsibility.
ReadMathematics in the age of artificial intelligence
What should we teach when a machine can solve the exercises? An essay on reasoning at school, with examples and simulated lessons.
ReadIf I ask someone to help, why should the job take longer?
A lesson with AI: why averaging times is wrong, how to add work and derive t = (a × b) ÷ (a + b) without a least common multiple.
ReadChestnuts, ages and AI’s hidden assumptions
A simulated lesson: 770 chestnuts, three girls and a crucial question. Distinguishing ratios, possible ages and assumptions introduced by AI.
ReadIf we can ask AI everything, why should we still study?
A simulated debate with three examples: incomplete solutions, new questions and code reuse. Getting an answer does not mean understanding it.
ReadThe answer is not the end: exploring mathematics with AI
A simulated lesson: from Pythagoras to percentages, follow-up questions turn AI answers into a journey of mathematical exploration.
ReadThe code works. But who manages the complexity?
From SQL views to automatic documentation: why closer collaboration between AI and the designer turns working code into quality software.
ReadWhen a correct solution is poorly designed
A lesson on AI, random numbers and MOSAICO: from RandomNumero to RandomRange, distinguishing correctness, reuse and responsibility.
ReadComputational thinking
Computational thinking in everyday life
Eleven everyday situations for organising activities, coordinating people and checking assumptions. With explained questions and an interactive laboratory.
ReadFrom problem to algorithm: sequences, decisions and loops
Build ordered instructions, choose with IF/ELSE and repeat with REPEAT or WHILE. Human/machine examples and the Guide the robot laboratory.
ReadComputational thinking: from intuition to precise algorithms
From seeing an answer to explaining a procedure: 17 digit examples, three worked applications and a method for designing, testing and reusing algorithms.
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