Each time a brand new AI mannequin is launched, it’s usually touted as acing its efficiency towards a sequence of benchmarks. OpenAI’s GPT-4o, for instance, was launched in Could with a compilation of outcomes that confirmed its efficiency topping each different AI firm’s newest mannequin in a number of assessments.
The issue is that these benchmarks are poorly designed, the outcomes exhausting to duplicate, and the metrics they use are ceaselessly arbitrary, in keeping with new analysis. That issues as a result of AI fashions’ scores towards these benchmarks decide the extent of scrutiny they obtain.
AI corporations ceaselessly cite benchmarks as testomony to a brand new mannequin’s success, and people benchmarks already type a part of some governments’ plans for regulating AI. However proper now, they may not be adequate to make use of that manner—and researchers have some concepts for the way they need to be improved.
—Scott J Mulligan
We have to begin wrestling with the ethics of AI brokers
Generative AI fashions have grow to be remarkably good at conversing with us, and creating photos, movies, and music for us, however they’re not all that good at doing issues for us.
AI brokers promise to vary that. Final week researchers printed a brand new paper explaining how they educated simulation brokers to duplicate 1,000 individuals’s personalities with beautiful accuracy.
AI fashions that mimic you may exit and act in your behalf within the close to future. If such instruments grow to be low cost and straightforward to construct, it’ll elevate a number of new moral considerations, however two specifically stand out. Learn the complete story.
—James O’Donnell
