Ian Scheffler
In the world of AI, experts frequently discuss so-called “scaling laws,” which describe how large language models (LLMs) grow exponentially more powerful as their training data increases.
While recent research suggests that scaling laws may have reached a point of diminishing returns, AI Month at Penn Engineering shows no signs of slowing down.
Now in its second year, AI Month scaled up to include everything from events featuring luminaries like Meta’s Yann LeCun and NVIDIA’s Bill Dally to alumni panels and research seminars.
Focused on the relationship between AI and human well-being, AI Month 2025 gave members of the Penn community — and the broader AI world — a chance to see how Penn Engineering is helping shape the future of this rapidly evolving field.