Generative AI models show strong verbal comprehension and working memory but near-floor perceptual reasoning, with abstract reasoning improving faster in language than visual formats across generations.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Denoising Recursion Models train multi-step noise reversal in looped transformers and outperform the prior Tiny Recursion Model on ARC-AGI.
citing papers explorer
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Uneven Evolution of Cognition Across Generations of Generative AI Models
Generative AI models show strong verbal comprehension and working memory but near-floor perceptual reasoning, with abstract reasoning improving faster in language than visual formats across generations.
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One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
Denoising Recursion Models train multi-step noise reversal in looped transformers and outperform the prior Tiny Recursion Model on ARC-AGI.