arXiv cs.AIPaper
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
This hits hard: if you're building MLE agents with auxiliary machinery, you're solving the wrong problem. The frontier model is doing the work. The implication for your team: spend money on better models and cleaner prompting, not orchestration frameworks. The harness becomes noise after a certain model quality threshold.