From the spark of artificial neural networks to the era of generative language models — a journey through decades of breakthroughs that changed everything.
From theoretical foundations to the generative AI revolution.
The key innovations that transformed AI from a research curiosity to a global technology.
Stacked layers of simple units learn hierarchical representations from raw data — mimicking how the brain processes information.
The transformer's breakthrough — allowing models to weigh the importance of every word in a sentence simultaneously, regardless of position.
Models trained on trillions of tokens — the internet's knowledge compressed into neural network weights, enabling unprecedented understanding.
The discovery that performance improves predictably with more data, parameters, and compute — turning AI into an engineering problem.
Aligning model outputs with human values through reward modeling, making AI systems more helpful and aligned.
From LLaMA to Mistral — open models have made AI accessible to researchers, developers, and hobbyists worldwide.
"AI is the new electricity. It's going to transform every industry, just like electricity did in the 20th century."
— John Hopfield, Nobel Laureate in Physics
Where AI is headed — and the questions that lie ahead.