Evolving Benchmarks
Melanie and Tim discuss the limitations of static benchmarks in machine learning, emphasizing the need for evolving benchmarks to foster true general intelligence. They highlight the dangers of assuming machine capabilities based on human performance and the implications for AI risk debates.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!
Related Questions
Can AI achieve general intelligence?
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