What is artificial intelligence and how does it work?
AI gives machines the ability to mimic human intelligence — learning, reasoning, and problem solving. Not magic; statistics and big data.
Core definition
Artificial intelligence (AI) is the field enabling computer systems to perform tasks requiring human intelligence — vision, speech, decision-making, translation. Most modern AI is built on machine learning (ML): learning patterns from data to predict on new data.
How it works
Three main paradigms:
- Supervised learning: Models trained on labeled data (e.g., spam filter).
- Unsupervised learning: Hidden structures found in unlabeled data (e.g., customer segmentation).
- Reinforcement learning: Agent learns optimal behavior via reward/punishment in an environment (e.g., game bots, robotics).
Deep learning uses multi-layer neural networks to model complex patterns; today's LLMs are the scaled-up incarnation of this paradigm.
Why the explosion now?
Three factors converged: (1) GPU/TPU made compute cheap, (2) internet-era accumulation of trillions of text/code tokens, (3) Transformer architecture (2017) revolutionized sequence modeling. Their intersection sparked the post-2022 ChatGPT moment.