Kel Ruael calls for better AI-agent testing controls
Kel Ruael emphasizes the need for a more effective control system in AI-agent testing. He suggests that a platform should reveal what changes were made, what can be reverted, and the reasons behind trusting a particular run. This perspective shifts the focus from the ongoing debate on evaluations versus reliability towards actionable insights. His ideas could lead to more transparency and trust in AI systems. That's @kel_ruael.
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