Zhixiong Pan
Zhixiong Pan|Dec 29, 2025 16:10
I burned 500 million tokens just to translate 6000 abstracts of AI conference NeurIPS 2025 papers and develop two visualization charts. Take a look at GPT-5.2 as the ceiling and see how accurate it is to translate these cutting-edge AI papers. If these tokens are converted into API prices for on-demand calls, they should be at least $200. I know, this doesn't sound very cost-effective. After all, there are many affordable translation tools available now, and most people who frequently read academic papers are simply eating raw meat. But I'm just curious, if we use AI to forcefully tackle something seemingly absurd, can we achieve a miracle with great force? I deliberately chose the cutting-edge GPT-5.2, hoping that it could translate professional terminology more accurately (although don't expect it to be 100% perfect). Moreover, as a ChatGPT Pro user, since the Coding Agent quota is not fully utilized, it would be better to use it for an extreme test. The final result is that I have successfully translated all the abstracts of over 6000 papers selected for NeurIPS 2025 into Chinese. For the convenience of everyone's reference, I also manually created a front-end page and added two visual charts to assist in filtering: 1. Keyword association graph: Clicking on hot keywords such as "reasoning" or "vision language models" can directly locate relevant papers and discover potential research trends and associations. 2. Cross border cooperation network: For example, clicking on the line connecting "Singapore" and "China" can filter out papers on cooperation between the two countries. Of course, you will find that the connection between China and the United States is the thickest, as these two countries have a far greater number of papers. Since the $200 computing power has already been burned, let's treat it as my treat and invite you to experience this achievement directly. By the way, we can also verify the true level of GPT-5.2 translation of cutting-edge professional literature under a stress test of 6000 papers. Link: https://(randomarea. com)/neuips-2025/
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