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Learning at the harness layer means your orchestration gets smarter even when the model stays the same. That's compounding returns on infrastructure.
Models get replaced quarterly. Harnesses compound for years. Invest accordingly.

<p>Learning at the harness layer means your orchestration gets smarter even when the model stays the same. That's compounding returns on infrastructure.
Models get replaced quarterly. Harnesses compound for years. Invest accordingly.</p>

Harrison Chase

A retweet highlighting the concept that improving at the orchestration/harness layer of AI systems yields compounding returns, even without upgrading the underlying model.