Why Transformers Are Quadratic | The Real Reason They’re So Expensive

Explaining why attention is O(n²) and why long context is expensive. If you double the length of the input, the cost doesn’t double. It quadruples. Yes! Transformers are quadratic. Transformers power modern AI systems like GPT and large language models. But there’s a hidden cost behind their power. In this video, I explain why transformer attention scales quadratically with sequence length, using simple visuals and no math-heavy explanations. You’ll finally understand why long-context models are expensive, why memory usage explodes, and why researchers are racing to fix this limitation. In…