meemi's Shortform

The article discusses the controversy surrounding the FrontierMath benchmark, which was funded by OpenAI but not transparently communicated to contributors and contractors involved in its creation. The lack of transparency led to misunderstandings about the nature of the project, with many believing it was solely for evaluation purposes and not for advancing AI capabilities. OpenAI's involvement was only disclosed publicly after the launch of o3, leading to criticism of Epoch AI for not negotiating better terms to allow for transparency from the start. The article highlights concerns about OpenAI's access to the dataset and the potential use of the data for training, despite verbal agreements stating otherwise.

Epoch AI acknowledges the mistake in communication and commits to improving transparency in future collaborations. The article also raises questions about the integrity of the agreement between Epoch AI and OpenAI, suggesting that a written agreement would be more reassuring. There is skepticism about OpenAI's use of the data, with concerns that it could indirectly aid in capabilities advancement. The discussion emphasizes the importance of maintaining private and uncontaminated test sets to ensure accurate progress measurement and avoid conflicts of interest.

Key takeaways:

FrontierMath was funded by OpenAI, but this information was not transparently communicated to contributors and contractors until after the o3 announcement.
OpenAI has access to a large fraction of the FrontierMath dataset, though there is a holdout set for independent verification of model capabilities.
There is a verbal agreement that OpenAI will not use the dataset for training, but concerns remain about the potential use of the data for capabilities advancement.
Epoch AI acknowledges the lack of transparency as a mistake and commits to improving transparency in future collaborations.

meemi's Shortform

Key takeaways:

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