OpenAI releases 722 math manuscripts spanning 372 result families

OpenAI releases 722 math manuscripts spanning 372 result families

Langsung•7 Okt, 08:30 PG•2 minit bacaan•
Takeshi Yamamoto
Takeshi Yamamoto

OpenAI revealed solutions to long-standing math problems from an unreleased frontier model in 722 manuscripts across 372 result families, first reported by The Verge. The release arrives amid debate over research ethics, academic conduct and how companies credit human mathematicians whose work their systems build upon and potentially use to produce results.

The 372 result families group related papers. The release also includes some summaries of the model’s reasoning, estimates of compute used and statistics on the number of problems attempted. OpenAI says the average result used the equivalent of three hours of ChatGPT Pro thinking.

In September, OpenAI said its model had resolved more than 100 long-standing open problems across most areas of mathematics. AGMAI says the new release includes solutions to hundreds of open questions.

AGMAI, the Advisory Group on Mathematics and Artificial Intelligence, is a newly formed independent advisory group of elite mathematicians assembled to communicate the results responsibly. It published its first recommendations in late September, urging AI labs to release mathematical results promptly through established academic channels where possible and disclose the model name, prompts and compute costs.

AGMAI also urged AI companies not to treat mathematical-result releases as marketing vehicles for their models, saying that practice inflicts significant harm on the mathematical community.

OpenAI said it is publishing the results in a GitHub repository with protocols for paper revisions and citations. It is continuing to explore other community-hosted alternatives for this release that meet the committee’s guidelines. OpenAI said it is committed, for future releases, to further improving the quality of the papers through citations, mathematical exposition and presentation of the results.

The manuscript counts give the release’s scale, while AGMAI’s recommendations address how results are shared.

The full impact is likely to take time as mathematicians assess and digest the results. They add to a rapidly growing body of mathematical results from OpenAI and rival labs such as Anthropic that the field is still processing, including results concerning a Millennium Prize problem, among the field’s most famous open questions.

Boston Dynamics names former Amazon AI executive Rohit Prasad CEO

Boston Dynamics has named former Amazon executive Rohit Prasad as CEO, effective tomorrow, nearly nine months after former CEO Robert Playter stepped down, first reported by Therobotreport. Prasad will replace interim CEO Amanda McMaster, as Boston Dynamics says his appointment will accelerate its physical AI strategy of combining robotics and advanced AI to commercialize intelligent machines at scale.

McMaster took over after Playter left in February. Prasad is the company’s third CEO; founder Marc Raibert led it from its creation in 1992 until 2020.

Before joining Boston Dynamics, Prasad was Amazon’s senior vice president and head scientist for Alexa and artificial general intelligence. During 12 years at Amazon, he helped build Alexa from its earliest days and later led development of the Amazon Nova foundation model family used by enterprises. Before Amazon, he spent nearly 14 years at Raytheon BBN Technologies, leading machine-learning research and its real-world application for U.S. government and commercial use.

Prasad said he plans to productize intelligent robotic systems to improve safety, productivity and operational efficiency across industrial and commercial environments. His background spans consumer AI and enterprise foundation models, while Boston Dynamics says its strategy combines advanced AI with robotics to commercialize intelligent machines.

Jaehoon Chang, Hyundai vice chair and chair of Boston Dynamics’ board, said the company’s robotics, Prasad’s AI product experience, and Hyundai Motor Group’s manufacturing, logistics and mobility capabilities provide a foundation to build and scale physical AI. Hyundai acquired a controlling stake in Boston Dynamics from SoftBank Group in 2021.

Subject to the relevant approval process, Prasad is also expected to join the company’s board.