Advanced AI suffers ‘complete accuracy collapse’ in face of complex problems, study finds
Advanced AI suffers ‘complete accuracy collapse’ in face of complex problems, study finds
‘Pretty devastating’ Apple paper raises doubts about race to reach stage of AI at which it matches human intelligence
Apple researchers have found “fundamental limitations” in cutting-edge artificial intelligence models, in a paper raising doubts about the technology industry’s race to develop ever more powerful systems.
Apple said in a paper (PDF download) published at the weekend that large reasoning models (LRMs) – an advanced form of AI – faced a “complete accuracy collapse” when presented with highly complex problems.
It found that standard AI models outperformed LRMs in low-complexity tasks, while both types of model suffered “complete collapse” with high-complexity tasks. Large reasoning models attempt to solve complex queries by generating detailed thinking processes that break down the problem into smaller steps.
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The eggs we put all in one basket just cracked.