# GPT-5 and the future of mathematical discovery

DevFeed: [GPT-5 and the future of mathematical discovery](<https://devfeed.tech/articles/gpt-5-and-the-future-of-mathematical-discovery-6435.md>)

Original publisher: [Read original article](<https://openai.com/index/gpt-5-mathematical-discovery>)

Published: 2025-11-24T00:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Algorithm](<https://devfeed.tech/topics/algorithm.md>), [Math and Logic](<https://devfeed.tech/topics/math-and-logic.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [future](<https://devfeed.tech/tags/future.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [large-language-model](<https://devfeed.tech/tags/large-language-model.md>), [llm](<https://devfeed.tech/tags/llm.md>), [math](<https://devfeed.tech/tags/math.md>), [math-and-logic](<https://devfeed.tech/tags/math-and-logic.md>), [openai](<https://devfeed.tech/tags/openai.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [speed](<https://devfeed.tech/tags/speed.md>)

## AI overview

The article describes how UCLA mathematician Ernest Ryu used GPT-5 to investigate a longstanding open problem in optimization theory involving the Nesterov Accelerated Gradient method. GPT-5 helped surface mathematical ideas and techniques quickly, contributing to an explanation of why NAG can accelerate optimization while remaining stable.

## Source excerpt

UCLA Professor Ernest Ryu and GPT-5 solved a key question in optimization theory, showcasing AI's role in accelerating mathematical discovery.