Keumars is the technology editor at Live Science. He has written for a variety of publications including ITPro, The Week Digital, ComputerActive, The Independent, The Observer, Metro and TechRadar Pro. He has worked as a technology journalist for more than five years, having previously held the role of features editor with ITPro.
Scientists have designed a new set of tests that measure whether artificial intelligence agents can modify their own code and improve its capabilities without human instruction.
Any future AI that scores well on the 75 tests that comprise MLE-bench may be considered powerful enough to be an artificial general intelligence system — a hypothetical AI that is much smarter than humans — the scientists said. If AI agents learn to perform machine learning research tasks autonomously, it could have numerous positive impacts such as accelerating scientific progress in healthcare, climate science, and other domains, the scientists wrote in the paper. But, if left unchecked, it could lead to unmitigated disaster.
They added that any model that could solve a"large fraction" of MLE-bench can likely execute many open-ended machine learning tasks by itself.—'Their capacity to emulate human language and thought is immensely powerful': Far from ending the world, AI systems might actually save it
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