AI benchmarks are broken. Here’s what we need instead.

Article argues that current AI benchmarks, which focus on outperforming humans in isolated tasks, are flawed and proposes the need for new evaluation methods.

• •Traditional AI benchmarks often compare AI performance against human performance on specific, isolated tasks.
• •This human-vs-AI framing is seductive but ultimately insufficient for evaluating true AI capabilities.
• •The article calls for a shift towards more holistic and meaningful evaluation metrics for AI systems.