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中文(ZH) 独家专访|苏炜杰加入OpenAI:Scaling Law撞墙后为什么需要数学家出手?

Statistics Professor Su Weijie Joins OpenAI to Tackle LLM Challenges

Su Weijie, a distinguished statistics professor from the University of Pennsylvania's Wharton School, has joined OpenAI to contribute to their model training efforts. His move from academia to industry is driven by the desire to conduct large-scale experiments and address fundamental challenges in large language models that are currently bottlenecked by engineering limitations. Weijie believes that as AI development progresses, theoretical expertise in mathematics and statistics will become increasingly crucial for breakthroughs, especially in areas like robustness, data understanding, and alignment. AI

IMPACT This move signals a growing need for theoretical expertise in AI, potentially accelerating breakthroughs in model robustness and alignment.

RANK_REASON Hiring of a prominent academic by a leading AI lab to address core research challenges. [lever_c_demoted from significant: ic=1 ai=1.0]

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Statistics Professor Su Weijie Joins OpenAI to Tackle LLM Challenges

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  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    Exclusive Interview | Wei Jie So Joins OpenAI: Why Mathematicians Are Needed After Scaling Laws Hit a Wall?

    <p><span style="color: #000000;">大模型正在走进一片没有地图的深水区。</span></p><p><span style="color: #000000;">Scaling Law开始撞墙、高质量数据接近枯竭、AI解释性问题依然没有解决,行业逐渐进入后Scaling时代。</span></p><p><span style="color: #000000;">越来越多人开始意识到,那些最关键的瓶颈,单靠工程经验已经无法突破了。</span></p><p><span style="color: #000000;">问题摆在眼前…