Unverified50% confidenceOpinionExact time
Optimists believe current large language models are already on the verge of AGI, while skeptics argue that existing systems still lack genuine reasoning, causal understanding, and autonomous goal-setting capabilities.
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50%
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Long-term
Relevance
9/18/2026
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Related Claims
UnverifiedYann LeCun believes that current AI based on large language models lacks a true world model and causal reasoning capabilities, and that fundamental technological breakthroughs are still needed before AGI can be achieved.73% similarUnverifiedCurrent AI systems lack genuine causal reasoning capabilities and rely primarily on statistical correlations rather than an understanding of causality—a core argument cited by many researchers for why AGI has not yet been achieved.72% similarUnverified社区共识认为AI幻觉问题远未被彻底解决，更像是大语言模型架构的固有特性而非可修复的bug71% similarUnverifiedGeneral-purpose large language models still have significant shortcomings in rigorous logical reasoning and can hallucinate seemingly plausible but actually incorrect proof steps.69% similarUnverifiedCritics argue that applying welfare concepts to current language models is an anthropomorphic overreach that may divert attention from more pressing AI safety and societal impact issues.68% similar
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