Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

The article summarizes Prof. Melanie Mitchell's critique of current AI benchmarks. She argues that the concept of 'understanding' in AI is poorly defined and that current benchmarks, which often rely on task performance, are insufficient. She emphasizes the need for more rigorous testing methods from cognitive science, focusing on generalization and the limitations of large language models. The core argument is that current AI, despite impressive performance on some tasks, lacks common sense and a grounded understanding of the world, suggesting a fundamentally different form of intelligence than human intelligence.

• •Current AI benchmarks are insufficient for measuring true understanding.
• •Large language models lack common sense and grounded understanding.
• •More rigorous testing methods from cognitive science are needed.
• •Intelligence may be fundamentally different in AI compared to humans.