Thomas Wolf
Showing 1–3 of 3 transcripts.
- RAISE Summit41 min
From Research to Reality: Why Open Source Is the Engine of AI | RAISE Summit 2026
Ion Stoica, Thomas Wolf, Dillon Rolnick, Eiso Kant, Robin Rombach, Mark Porter, Dylan Rolnick
Founders from Poolside, Databricks, Neuse Research, and Hugging Face, moderated by Mark Porter, convened to debate preventing AI monopoly through open-weight models rather than closed ecosystems. The panelists argued that open source remains the only viable path for critical sectors like robotics and scientific discovery while highlighting risks of geopolitical bias and regulatory lockout under current centralized control. Ultimately, the group emphasized a strategic shift toward commoditized infrastructure and real-world evaluation to avoid security fears and drive the next wave of physical and scientific breakthroughs.
- RAISE Summit30 min
RAISE Summit 2025: The AI Evolution Open Source, Fast Inference, and the Agentic Revolution
Tony Kim, Thomas Wolf, Rodrigo Liang, Arjun Kharpal
The AI sector is rapidly pivoting from foundational model development to agentic inference and production, driven by a strategic race for full-stack superiority where proprietary models currently retain a six-to-twelve-month performance lead. Enterprises are increasingly adopting open-source alternatives to ensure data privacy and cost efficiency, prompting a hardware shift focused on energy-efficient inference rather than raw training power. While consumer assistants and automated SaaS applications are expected to mature within two years, the industry faces critical bottlenecks regarding gigawatt-scale energy demands and the potential for data security breaches.
- Sequoia Capital43 min
Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI
Thomas Wolf, Sonya Huang, Pat Grady
Hugging Face has expanded its LeRobot ecosystem to a global community of 10,000 members while accelerating hardware accessibility through the $100 SO-100 robotic arm and the $300 Ritchie Mini unit. By leveraging decentralized datasets, advanced world models, and a coexisting open-source strategy, the platform aims to transform robotics from a niche industry into a horizontal software platform accessible to developers and hobbyists alike. This strategic shift targets an imminent "iPhone moment" in entertainment and education, eventually driving the cost of adaptive robot form factors below $10,000 within the next decade.