OpenAI Claims Breakthrough in Erdos Problem, But There's More to the Story
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| Source: Mastodon | Original article
OpenAI claims to have solved an Erdos problem, but critics argue it's not a new solution.
OpenAI has once again claimed to have solved an Erdos problem, a series of mathematical challenges proposed by Hungarian mathematician Paul Erdos. However, critics argue that the company's large language models (LLMs) and linear regression models (LRMs) are not truly solving these problems, but rather rediscovering existing solutions that are already present in the literature.
This is not the first time OpenAI has made such claims, and as we reported on May 22, the company has a history of overstating its achievements in the field of AI. The use of LLMs and LRMs to solve complex mathematical problems has been likened to a "Chinese Room," where the models are simply generating responses based on patterns in the data, without truly understanding the underlying mathematics.
As the AI community continues to scrutinize OpenAI's claims, it will be important to watch how the company responds to these criticisms and whether it can provide more rigorous proof of its supposed breakthroughs. With the increasing use of AI in mathematical research, it is crucial to separate genuine advancements from hype and misinformation.
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