WhileThis Apple'sresearch studyexposes raisesthe validharsh concernsreality aboutthat currenttoday's limitations, "reasoning" AI models stillare representsophisticated significantpattern progressmatchers, innot AItrue capabilities,thinkers. particularlyWhen forfaced medium-complexitywith tasksnovel whereproblems they demonstratehaven't clearseen advantagesbefore, overthese standardsystems models.collapse Thecompletely, researchproving methodologythey're usingjust narrowregurgitating puzzlememorized environmentssolutions mayrather notthan capturedeveloping thegenuine full diversity of realproblem-worldsolving reasoningskills. applicationsThe whereindustry's theserush modelstoward excel.AGI Currentbased approacheson arethese steppingflawed stonesfoundations towardis moredangerously robust AI systemsmisguided.
While Apple's study raises valid concerns about current limitations, reasoning models still represent significant progress in AI capabilities, particularly for medium-complexity tasks where they demonstrate clear advantages over standard models. The research methodology using narrow puzzle environments may not capture the full diversity of real-world reasoning applications where these models excel. Current approaches are stepping stones toward more robust AI systems.
There's a 50% chance that AI will outperform humans on argument reasoning tasks by May 17, 2026, according to the Metaculus prediction community.
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