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Gnosys Labs introduces an autonomous model engineering method that improves classifiers under label scarcity, outperforming standard optimizers like GEPA on the ToxicChat benchmark.
Factory's Droid Shield 2.0 uses two small post-trained models for secret detection, outperforming GPT-5.5 and Opus 4.8 on this task while being faster and cheaper.
A guide on building autonomous engineering pipelines, covering integration with services like Slack and GitHub, and highlighting Devin's built-in capabilities for rapid setup.
The author argues that human-designed structural frameworks for AI agents should be replaced by AI-engineered ones, introducing a Three Regimes Framework to show how this shift unlocks mid-sized model capabilities. Citing projects like Meta Harness, they predict an imminent transition where AI will autonomously optimize its own system architecture.