OpenAI CBO: Internal Model Solves Navier-Stokes Problem, In-house Chip Jalapeño to Enter Production This Year
OpenAI Chief Business Officer Sarah Friar stated in her latest article that GPT-6 Astra is the most intelligent and aligned model to date, and the company currently has over 1 billion weekly active users and 2.5 million enterprise clients. She disclosed that an internal OpenAI model has provided a solution to the Navier-Stokes Millennium Prize Problem, a mathematical challenge that has remained unsolved for nearly 90 years. Additionally, OpenAI's first self-developed inference chip, Jalapeño, is planned for deployment by the end of the year, with its peak token throughput per watt being 1.5 to 1.9 times higher than existing commercial systems, and end-to-end latency reduced by 1.7 to 3.6 times. GPT-5.6 Sol has already reduced end-to-end service costs by 20% and improved token generation efficiency by over 15%.
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Disclaimer: This content reflects the author's personal views only and does not constitute investment advice.
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