Language is an insufficient substrate for quantitative reasoning, and consequential domains need large quantitative models
Read the original at arxiv.org→arXiv:2609.12105v1 Announce Type: new Abstract: The prevailing assumption in applied machine learning is that progress on consequential quantitative decisions such as pricing risk, allocating capital, triaging...
Original headline: "Language Is an Insufficient Substrate for Quantitative Reasoning, and Consequential Domains Need Large Quantitative Models"
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- Sep 14, 04:00 UTC arXiv cs.AI lead source Language Is an Insufficient Substrate for Quantitative Reasoning, and Consequential Domains Need Large Quantitative Models