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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
SubjectLLMs
What Sebastian Raschka actually said
- 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 20 Sept 2026 · How quotes work · Something wrong? Tell us
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