A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• Every announcement of a longer context window hides the cost, which is that the model gets worse at following instructions. ASAravind Srinivas19 Jun 2024similar wording
• Four things about a context window decide what an agent does next: its size, whether the information in it is correct, whether information is missing, and the trajectory it is already on. DHDex Horthy15 Jul 2026similar wording
• What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. JDJeff Dean30 Jul 2026similar wording
• The point of context engineering is to do as much work as possible in the smart zone — roughly the first hundred thousand tokens of the context window. DHDex Horthy15 Jul 2026similar wording
• Context engineering has stayed relevant for a year because it is grounded in how transformer attention works, and it will matter to anyone building on AI until post-transformer models arrive. DHDex Horthy15 Jul 2026similar wording

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