Module 1 · What AI Really Is
A Short History and the Modern AI Landscape
65 min
Learning objectives
- Summarize the major waves of AI and why the current era is different
- Explain the three forces behind the modern AI boom: data, compute, and algorithms
- Place generative AI within the broader AI landscape
Three waves, one breakthrough
AI has gone through cycles of optimism and disappointment since the 1950s. Early 'symbolic AI' tried to encode human knowledge as explicit rules. It worked for narrow logic problems but collapsed under real-world messiness. The current era is powered by machine learning — and specifically deep learning — which learns directly from data.
- 1950s–80s: Symbolic AI / expert systems — hand-coded rules. Brittle.
- 1990s–early 2010s: Statistical machine learning — systems learn from data; practical wins in search, recommendations, fraud detection.
- 2012 onward: Deep learning — neural networks crack vision and speech. From ~2017, transformers unlock modern language models.
Why now? Data, compute, algorithms
Three forces converged. The internet created enormous datasets. Specialized chips (GPUs/TPUs) made it affordable to train huge models. And algorithmic breakthroughs — especially the transformer architecture in 2017 — let models learn from all that data effectively.
| Force | What changed | Why it mattered |
|---|---|---|
| Data | Internet-scale text, images, video | Models need huge volumes of examples to learn |
| Compute | GPUs/TPUs, cloud scale | Training large models became feasible and cheaper |
| Algorithms | Deep learning + transformers (2017) | Could finally turn data + compute into capability |
Generative AI (like ChatGPT) is not separate from AI — it's a recent, powerful branch of deep learning focused on creating content.
Transformer — A neural-network architecture introduced in 2017 that processes sequences in parallel using 'attention'; the foundation of modern large language models.
Knowledge check
Quick practice — not part of your exam score.
Which three forces are most responsible for the modern AI boom?
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