Everyone's bragging about "1 million token context windows" right now. 🤯 Almost nobody explains what that actually buys you, or the catch that never makes the launch slide. So I wrote the plainest version I could, built around a desk you can picture. 🪑
Stuff that's easy to miss: 📏 1M tokens ≈ 750,000 words, about five novels in one prompt 💸 Double the window and you don't double the cost. You QUADRUPLE it (attention is O(n²)) 🕳️ Models reliably lose facts buried in the middle. The usable band is often 16K to 64K, not 1M 🧹 A tidy small desk beats a messy giant one, basically every time
Bigger isn't automatically smarter. Here's what I found 👇
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