Harness Engineering: the model is almost never the problem
Hace poco monté un experimento pequeño: el mismo modelo de IA, la misma tarea de código, tres configuraciones distintas de lo que tenía permitido hacer. El resultado más revelador no fue que el agente fallara: fue ver, con evidencia en pantalla, que la calidad de lo que produce depende mucho menos del modelo de lo que solemos asumir, y mucho más de la infraestructura que construimos alrededor de…
An experiment was conducted using the same AI model and coding task with different configurations. The results showed that the quality of the output depends more on the infrastructure built around the model, known as "harness engineering", than the model itself. Anthropic ran an experiment with the same model and prompt, but with different configurations, resulting in vastly different outcomes.
A harness is defined as everything in the engineering infrastructure that surrounds an agent, excluding the model weights, and includes components such as instructions, tools, environment, state, and feedback. The harness can be controlled and improved by the team using it, and is crucial in determining the performance of the agent.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
