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Yang Zhilin, founder and CEO of Moonshot AI, combines rigor with a long-term focus on AGI. His work on Transformer-XL and XLNet, followed by Kimi’s long-context capabilities, reflects a conviction that technological excellence should make AI more useful.
Arthur Mensch is co-founder and CEO of Mistral AI. A former Google DeepMind researcher and École Polytechnique alumnus, he leads a French AI company building frontier models, developer tools, applications, and compute.
Liang Wenfeng, founder of DeepSeek and co-founder of High-Flyer, moved from quantitative finance into AI. His strategy combines efficient open-source models, fundamental research, and young talent with a larger ambition: making China a contributor to global technological innovation.
Nick Szabo, a computer scientist, legal scholar, and cryptographer, helped shape digital currency and blockchain thinking. His smart-contract concept asks how agreements can execute themselves when their terms are encoded directly, bringing software architecture into dialogue with law.
François Chollet, an artificial intelligence researcher at Google and creator of the Keras deep-learning library, challenges the field’s prevailing hype. His perspective asks for a grounded, nuanced account of intelligence that can distinguish human capacities from artificial systems.
Joel Hellermark, founder of the AI-powered learning platform Sana, began the company at nineteen. His thinking connects artificial intelligence, education, and work through a mission to augment human intelligence and examine how AI could transform learning.
Bob McGrew, former Chief Research Officer at OpenAI and an early engineer at Palantir, brings an experienced builder’s perspective to the future of AI and AGI. His central subject is how increasingly capable systems may develop and matter.
David Holz, founder of Midjourney and a serial entrepreneur and technologist, places human imagination at the center of AI. His vision asks how image generation and human-computer interaction can expand creativity without reducing technology to mere automation.