In a fireside chat, Lisa Su and Clem Delangue emphasized the transformative potential of AI driven by openness, transparency, and developer collaboration, highlighting the growth of accessible AI models and the shift toward localized AI hardware. They underscored the importance of empowering developers as AI builders to foster innovation, trust, and societal impact, calling for continued openness and community engagement to shape the future of AI.
The fireside chat between Lisa Su, CEO of AMD, and Clem Delangue, CEO of Hugging Face, centered on the transformative power of AI driven by openness and developer collaboration. Clem shared Hugging Face’s journey over the past decade, highlighting the explosive growth of open models and datasets across diverse domains such as text, video, biology, and robotics. With over three million public models and one million datasets, the platform exemplifies how AI is becoming increasingly accessible and integrated into various fields, signaling just the beginning of AI’s broad impact.
A key theme discussed was the importance of openness in AI, especially as agentic AI—autonomous systems capable of decision-making—advances rapidly. Clem emphasized that transparency, control, and understanding are critical for safely deploying autonomous agents, which necessitates open models and the ability for companies to own and customize their AI agents rather than relying on black-box solutions. This openness fosters trust and innovation, enabling developers to tailor AI to specific needs and constraints.
The conversation also explored the evolving landscape of AI hardware and accessibility. Lisa Su highlighted the shift from centralized data center computing to more localized AI capabilities, such as AI-powered PCs and devices like the Ryzen AI Max box. Clem echoed this, noting the excitement among developers for local AI options that allow hands-on experimentation, optimization, and deployment of models. This democratization of AI hardware empowers more developers to become AI builders, accelerating innovation beyond large cloud providers.
Looking ahead, Clem predicted a future where the number of AI models could rival the vast number of code repositories today, with models customized for countless individual use cases. He also stressed the growing community of AI builders, facilitated by platforms like Hugging Face, which lower barriers to entry and enable software engineers to create, optimize, and deploy AI solutions. Both leaders agreed that fostering open collaboration and community engagement is essential to overcoming silos and driving collective progress in AI development.
In closing, Lisa and Clem reflected on the broader societal impact of AI and the responsibility of the developer community to demystify the technology. They encouraged turning AI users into AI builders to shift perceptions from fear to empowerment. By making AI accessible and understandable, more people can harness its potential to innovate and solve real-world problems. The session ended with a call to action for continued collaboration, openness, and optimism, emphasizing that the future of AI will be shaped by the collective efforts of developers and the ecosystems they build.