SAN FRANCISCO – ExperienceFlow.AI, a pioneer in artificial general intelligence for enterprises, is honored to announce Professor Richard Sutton, a distinguished researcher and 2024 Turing Award winner, as its Chief Scientific Officer.

Prof. Sutton is the pioneer of Reinforcement Learning (RL) and his ground breaking research has significantly advanced the field. His core focus is to develop highly scalable learning and search algorithms that can lead us to Artificial General Intelligence (AGI).

“We are thrilled to have Prof. Sutton join us at such an important moment when the field of AGI is transitioning from the Age of Human Data to the Age of Experience,” said Giri ATG, Co-founder & CEO of ExperienceFlow.AI. “We firmly believe AI systems will evolve from learning from human data to learning from their own flow of experiences. This powerful approach will lead to new breakthroughs, as AI agents will explore new possibilities that are not limited by human data.”

“The Bitter Lesson of AI teaches us that the world is infinitely, irredeemably complex, and the only way to win is to continually adapt to the portion of the world that is currently being experienced. Only when we can learn from experience in a general way will we able to build true AGI,” says Prof. Sutton.

“With Prof. Sutton as our Chief Scientific Officer, we are building a dedicated AI team to accelerate our roadmap for the next wave of super intelligence based on Reinforcement Learning Agents that can learn from their own experience. This experience-powered approach goes beyond OpenAI’s RLHF and DeepSeek’s R1, which are limited by human experts’ data and verifiable (math like) rewards respectively,” said Giri ATG.

As edge compute becomes cheaper with hardware like Nvidia’s DGX Spark, ExperienceFlow will help reconfigure the intelligence architecture of enterprises and nations to a new approach wherein enterprises and nations can own and differentiate their network of intelligent agents.

“A Digital Nervous System for an enterprise would inherently be spatially distributed and asynchronous. Creating it requires new ideas in decentralized AI architectures,” says Prof. Sutton.

At ExperienceFlow.AI, our commitment to building experience-powered RL and decentralized AI is unwavering. We believe Prof. Sutton’s deep RL expertise, visionary approach, and academic rigor will propel our research initiatives and position us at the forefront of cutting-edge developments.

Please join us in warmly welcoming the 2024 Turing Award Winner, Prof. Sutton, to our team! 

Press Release: ExperienceFlow.AI Announces 2024 Turing Award Winner as its Chief Scientific Officer

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