Can AI Systems Genuinely Improve Themselves?
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WhatAI Editorial
✓ Reviewed for community standards
Matthew Berman recently examined Meta-Harness, a system designed to improve the code that controls how models receive context, use tools, and are evaluated.
**What is actually improving?**
The system can change the surrounding harness according to a test score. This may improve a model workflow without changing the underlying model weights.
**The important limitation**
The objective, environment, tools, and evaluation remain designed by people. A weak metric can optimise the wrong behaviour.
**Community question**
**Does automated harness optimisation count as genuine AI self-improvement, or is it advanced software optimisation?**
*This is independent WhatAI editorial coverage. Matthew Berman has not endorsed or sponsored this post.*
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