Photo Jean-Baptiste Kempf

Jean-Baptiste Kempf

CTO & Tech Founder

Scaleway, Playruo

About Me

Jean-Baptiste Kempf is an engineer, entrepreneur, and open-source leader, known for creating the VideoLAN non-profit organization and driving the development of VLC media player, the iconic video player. He has been a key contributor to numerous open source projects, such as FFmpeg, x264, dav1d, VLC and a few others. He has also been the president of the VideoLAN foundation, since its foundation. He has created and led several startups in the multimedia and gaming space, around on open source solutions, like Videolabs, FFlabs, Klabs, Kyber or Playruo, and grew them to become profitable companies. Jean-Baptiste has been CTO of several major Tech companies and has managed engineering teams from 5 to over 300 engineers, including Shadow, Veepee and more recently Scaleway. As CTO of Scaleway, he leads the company’s efforts in building a high-performance, sovereign European cloud, offering a credible alternative to U.S. hyperscalers, an urgent mission as digital sovereignty becomes central to Europe’s strategic autonomy. His deep and strong expertise in the video and open source engineering field and in engineering organizations made him become a worldline lecturer, an advisor to startups and VC funds. The latest project is called Kyber, a fast-growing venture focused on real-time machine control for robotics, drones, and intelligent systems, especially in critical fields like healthcare and defense. His work continues to push the boundaries of ethical, scalable, and independent technology.

Hear My Insights

Shared Progress: How Can Open-Sourcing Speed the AI Race?

Today, artificial intelligence has become a transformative economic force shaping industries, influencing policies, and driving global competition. Amid the rapid scaling of AI models across industries and borders, a key debate continues to divide: should AI be open-source or closed-source? Early 2025 saw a surge in open-source AI initiatives, with advocates emphasizing its cost efficiency and lower energy demands. But can open-source truly redefine the AI landscape? And after the breakthroughs of the first half of the year, what’s next for open-source AI? This session will explore open sourcing, first tackling its definition, before examining key trade-offs and exploring a path forward that fosters innovation and responsible AI development.