Cosmo Explains

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How did machine learning grow from a simple question about thinking machines into the technology behind modern AI?

This slow, relaxing journey traces the full history of machine learning—from Alan Turing, early artificial neurons and the perceptron to backpropagation, AI winters, support vector machines, GPUs, AlexNet, transformers and large language models. Along the way, you’ll discover how computers learn from examples, why progress took decades, and why today’s AI remains both remarkably powerful and deeply misunderstood.

Settle in, relax, and explore the ideas, people and breakthroughs that shaped machine learning.

Resources

• Alan Turing — Computing Machinery and Intelligence
https://academic.oup.com/mind/article/LIX/236/433/986238

• Rumelhart, Hinton & Williams — Learning Representations by Back-Propagating Errors
https://www.nature.com/articles/323533a0

• Krizhevsky, Sutskever & Hinton — ImageNet Classification with Deep Convolutional Neural Networks
https://papers.nips.cc/paper_files/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html

• Vaswani et al. — Attention Is All You Need
https://papers.nips.cc/paper_files/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa-Abstract.html

Everything About Machine Learning Explained Slowly (For Sleep)

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