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Long-context efficiency has become a central priority in LLM development because agent harnesses require working with increasingly long contexts.

Drawn from what Sebastian Raschka said

LLMs

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  1. Sebastian Raschka

    AI research engineer working on large language models

    In 2026, long-context efficiency is king as more and more LLMs get plugged into agent harnesses (OpenClaw etc.), which requires working with longer and longer contexts.

Added to korrents 6 Jun 2026 · How quotes work · Something wrong? Tell us

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