About Gemini 1.5's 10M-token context window and whether huge contexts are useful.
Has this happened?
Yes 13 (10%)Not sure 33 (26%)No 82 (64%)
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
Hacker News has set AI a lot of challenges over the years. Which ones has it met?
About Gemini 1.5's 10M-token context window and whether huge contexts are useful.
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
You certainly don't need that much context for it to be useful, but it definitely opens up a LOT more possibilities without the compromises of implementing some type of RAG.
In addition, don't we want our AI to have superhuman capabilities? The ability to work on 10M+ tokens of context at a time could enable superhuman performance in many tasks. Why stop at 10M tokens? Imagine if AI could work on 1B tokens of context like you said?