Agents optimizing agents: the wins that stick aren't in the prompt
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Scale just published research showing an AI agent can meaningfully improve another AI agent — automatically, and in a verifiable way. The framework is called VeRO (Versioning, Rewards, and Observations), and it was presented at ICML 2026 in Seoul today. The headline number: up to 19 points of improvement on GAIA, a benchmark for multi-step, tool-heavy tasks. The catch: it only works on certain kinds of problems. "Optimizer agents are good at improving how a target agent interacts with the…
1Key Takeaways
- Scale just published research showing an AI agent can meaningfully improve another AI agent — automatically, and in a verifiable way.
- The framework is called VeRO (Versioning, Rewards, and Observations), and it was presented at ICML 2026 in Seoul today.
- The headline number: up to 19 points of improvement on GAIA, a benchmark for multi-step, tool-heavy tasks.
- The catch: it only works on certain kinds of problems.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that scale just published research showing an AI agent can meaningfully improve another AI agent — automatically, and in a verifiable way.
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