Qwen3.8 27B 开启推理后在 DGX Spark 上算对 169 位数加法实验
Qwen3.8 27B addition in words
有人在 DGX Spark 上重跑了 GPT-4o 的文字加法实验，Qwen3.8 27B 开推理后 169 次只错 2 次，还能看到逐位进位的思考过程。
Simon Willison 复现了 Colin Frasier 两年前在 GPT-4o 上做过的大数加法实验，要求模型以文字形式返回答案。他用本地 DGX Spark 硬件跑 Qwen3.8-27B-Q4_K_M.gguf，每组 30 次、关闭推理时错误率明显更高。开启推理后仅测 169 次，Qwen3.8-27B 答对 167 次，推理轨迹显示模型逐位对齐并从右往左进位计算。
Qwen3.8 27B addition in words
Research: Qwen3.8 27B addition in words Colin Frasier posted on Bluesky about an experiment he ran over two years ago using GPT-4o to see how well it could "compute the sum but return the answer in words" across increasingly large numbers. Here's the chart he shared of those results: I'm confident GPT-4o didn't cheat and use a calculator, especially since it got so many of the calculations wrong, but I was inspired to run the experiment again on local hardware (a DGX Spark) to explore the effect in a fully controlled environment. I pasted his image into a Codex Remote session (GPT-6 Astra) and had it run the same experiment using Qwen3.8-27B-Q4_K_M.gguf . Here's the result for a run of 30 attempts per combination with reasoning disabled: Then I ran it again with reasoning enabled. This took a lot longer per pair, so instead of running 30 samples per square I ran just one - which results in a much less visually appealing heatmap since each square is either 100% or 0%: It got the right answer in 167 out of 169 attempts, and since these were one-shot I'm confident a second run would produce different results here. Here's a version of the report that includes the reasoning traces from some of those larger calculations, which include text like this: Wait, let me redo this more carefully. 4,299,366,105,622 6,088,794,067,970 Let me align them: 4 2 9 9 3 6 6 1 0 5 6 2 2 6 0 8 8 7 9 4 0 6 7 9 7 0 Adding from right to left: Position 1 (units): 2 + 0 = 2 Position 2 (tens): 2 + 7 = 9 Position 3 (hundreds): 6 + 9 = 15, write 5, carry 1 Tags: mathematics , ai , generative-ai , local-llms , llms , qwen , llm-reasoning , dgx-spark
