Why treating one AI as the synthesis layer is often the wrong instinct: what 200K to 2M token context windows really change
https://www.last-bookmarks.win/1-look-relying-solely-on-chatgpt-for-contract-reviews-bit-me-once-missed-a-tricky-force-majeure-clause-that-led-to-a-costly-delay-now-we-combine-gpt-4-20-mo-with-legalrobot-25-mo-for-cross-validation-it-s-a-pain-but-worth-it-for-peace-of-mind
Big context windows have changed the conversation. With 200,000 to 2,000,000 token windows now possible, it's tempting to assume one giant model can read everything, hold the thread, and act as the single synthesis layer for complex workflows