Denny Zhou: model depth is what matters for reasoning, loops are just cheap depth
denny_zhou · x · 2026-09-03
Google researcher Denny Zhou argues that what fundamentally matters for reasoning is model depth, and that loops are merely a cheap way to increase effective depth. The take comes from his lecture at Stanford CS last year.
Related event: Looped Transformer Debate: Just Deeper Networks or Real Recurrence?(8 posts)→
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