Don't Blindly Trust AI Labs: Good Engineering Beats No Engineering
bendee983 · x · 2026-08-06
The author argues that AI labs are commercially incentivized to drive up token consumption, which is why they often downplay the need to provide specific instructions or add determinism to the AI harness.
While models are indeed getting more powerful, solid engineering practices—such as rigorous prompting and system architecture—will always outperform relying entirely on the model's zero-shot capabilities.
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