aiqbench analysis
This article addresses a critical transparency issue regarding OpenAI's training data practices, specifically concerning the potential inclusion of unpublished mathematical research and researcher interactions in its models. The controversy highlights ongoing debates about attribution, ethical boundaries, and the reproducibility of AI breakthroughs in specialized scientific domains like mathematics.
Mathematicians want proof OpenAI didn’t use their work
Sam Altman, chief executive officer of OpenAI, during a media tour of the Stargate AI data center. | Bloomberg via Getty Images Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter row erupted over whether the company's models benefited from unpublished work, a second mathematician has come forward accusing the AI giant of unethical and "dishonest" behavior and a lack of transparency about the origins of its training data. In a series of posts on Mastodon, mathematician Andreas Thom raised concerns that interactions he and his colleagues had had with the ChatGPT chatbot before OpenAI's triumphant announcement may have contributed to its success in the field. One of the … Read the full story at The Verge.
Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter row erupted over whether the company’s models benefited from unpublished work, a second mathematician has come forward accusing the AI giant of unethical and “dishonest” behavior and a lack of transparency about the origins of its training data. In a series of posts on Mastodon, mathematician Andreas Thom raised concerns that interactions he and his colleagues had had with the…
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