Nathan Lambert, a machine learning scientist at the Allen Institute for AI, and AI ethicist Tom Gilbert discuss the contentious debate over open versus closed AI systems. They dive into the competitive landscape of AI innovation, questioning if France can rival China's advancements. The pair highlight the importance of democratizing access to technology and the challenges small businesses face in adopting AI. They also share insights from the NeurIPS conference, stressing transparency and collaboration in the evolving AI research ecosystem.
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insights INSIGHT
Fast Followers
Chinese and French AI models are only months behind those of OpenAI.
This is due to the accessibility of the internet and affordable compute.
insights INSIGHT
Innovator's Curse
OpenAI faces an innovator's curse: pioneering is harder than following.
Catching up is easier now, but this might change as AI models grow larger.
insights INSIGHT
China's AI Ambitions
Chinese companies are actively trying to compete with OpenAI.
It's politically important for China to be a leader in AI.
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This book is a monumental biography of Robert Moses, who was the single most powerful man in New York City and State during his time. It explores how Moses accumulated and wielded power, shaping the city through his public works projects, including highways, bridges, and parks. The book delves into Moses's early life, his idealistic beginnings, and his transformation into a powerful figure who dominated New York's politics without ever being elected. It also highlights the social and environmental impacts of his projects and his eventual fall from power. The biography is renowned for its detailed and nuanced portrayal of power dynamics in urban politics[2][4][5].
Exit, Voice, and Loyalty
Responses to Decline in Firms, Organizations, and States
Albert O. Hirschman
In this influential book, Albert O. Hirschman explores how individuals and groups respond to decline in various organizations. He introduces the concepts of 'exit' (withdrawing from the organization), 'voice' (attempting to improve the organization through complaint or protest), and 'loyalty' (the factor that can influence the choice between exit and voice). Hirschman argues that these responses are interdependent and that understanding their interaction is crucial for addressing organizational decline. The book applies these concepts to a wide range of economic, social, and political phenomena, including consumer behavior, political parties, and personal relationships.
Reinforcement Learning: An Introduction
Second Edition
Richard Sutton
Andrew G. Barto
This second edition of 'Reinforcement Learning: An Introduction' by Richard S. Sutton and Andrew G. Barto provides a clear and simple account of the field's key ideas and algorithms. The book is significantly expanded and updated, including new topics such as artificial neural networks, the Fourier basis, and expanded treatment of off-policy learning and policy-gradient methods. It also includes new chapters on the relationships between reinforcement learning and psychology/neuroscience, as well as updated case studies on AlphaGo, AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Understanding Deep Learning
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Simon Prince
Should AI be more open or closed? What does it mean to be open, anyway? And can France overtake China in AI??
Today I'm running a crossover episode with the Retort AI, hosted by AI Ethicist Tom Gilbert and Nathan Lambert who writes the fantastic https://www.interconnects.ai/ newsletter covering technological advancements in machine learning.
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