Mark Chen
Chief Research Officer, OpenAI
關於
Mark Chen is the Chief Research Officer at OpenAI, where he oversees the company's research priorities and direction toward artificial general intelligence. Before joining OpenAI in 2018, he worked as a quantitative trader at Jane Street Capital and Integral Technology. A graduate of MIT with a degree in Mathematics with Computer Science, Chen has been instrumental in developing landmark AI systems including DALL-E, Codex, and GPT-4, and played a key role in building OpenAI's o1 and o3 reasoning models.
主要貢獻
- Co-led DALL·E, one of the first systems to make text-to-image generation legible to the public
- Helped build Codex, connecting language-model research to practical code generation and developer tools
- Contributed to GPT-4-era multimodal and frontier-model research before moving into top research leadership
- Worked on OpenAI's reasoning-model line, including the o-series shift from next-token fluency toward deliberative problem solving
- Became OpenAI's Chief Research Officer, putting him in charge of research direction at one of the most consequential closed AI labs
- His low public profile contrasts with the power of the role, raising the broader question of how much frontier-AI research accountability depends on company insiders
影片與訪談
思想連結
Ilya Sutskever
曾經合作共同創辦人・Safe Superintelligence Inc.
Chen 是〈Evaluating Large Language Models Trained on Code〉（2021）的第一作者——那篇把語言模型變成程式設計工具的 Codex 論文；Sutskever 的名字在五十八位作者的末端，首席科學家署名的位置。這篇論文標記了「什麼算證據」的轉向：從模型預測得多準，轉向模型實際被測出能做到什麼。Chen 後來接下了 Sutskever 曾據守的研究位置，成為 OpenAI 的首席研究長，卻幾乎沒有隨之而來的公共能見度。
arxiv.org
Terence Tao
曾經對談Professor of Mathematics, UCLA
兩人在 UCLA 的 IPAM 同台對談，談的是機器可能在數學裡做些什麼——Chen 來自一間打造推理模型的實驗室，陶哲軒則來自一種「證明要嘛被驗證、要嘛什麼都不是」的實作。陶哲軒的興趣格外具體：他實際使用這些系統，並如實回報它們錯在哪裡。這場對談收錄在本站，也是少數幾個把「機器會不會推理」這個問題，交給一位握有獨立判準的人來回答的場合。
youtube.com
