Dongxi NLP argues a cheap System-1 should gate costly System-2 compute toward AGI
Overview
Dongxi NLP (@dongxi_nlp) argues that progress toward AGI depends less on adding compute than on a cheap System-1 that decides what an expensive System-2 should compute.
The post says every rollout, reasoning step and tool call is paid for before its usefulness is known, and that most do not help. The author links to an article making the same argument. The post presents this as a claim and gives no experiments or measured results.
Written by AI from the articles below · updated Oct 30, 5:14 AM ET
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Dongxi NLP@dongxi_nlpXDoes scaling toward AGI depend on what System-1 lets System-2 execute?AIDongxi NLP argues that the next step toward AGI depends less on computing more than on a cheap System-1 that decides what an expensive System-2 should compute. The post says every rollout, reasoning step, and tool call is paid for before its usefulness is known, and that most do not help. The author links this to a linked article that makes the same argument.
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