Nathan Lambert

Nathan Lambert, an AI researcher from AI2 and Interconnects.ai, returns to explore the evolution of Reinforcement Learning with Verified Rewards (RLVR). He discusses how RLVR shifts from subjective feedback to verifiable reward signals, enhancing scalability and reliability. Lambert highlights the challenges of tool use in RL frameworks and showcases the Tulu model series aimed at democratizing AI development. The conversation dives into the balance of fine-tuning, user data significance, and the implications for future AI performance and design.

Join Nathan Lambert, a writer for the Interconnects newsletter and AI researcher at the Allen Institute, as he delves into the captivating world of artificial intelligence. Discover why OpenAI’s strategies seem to favor engagement farming and how this affects user interactions. Explore the competitive landscape of AI innovation in China versus the U.S., and get insights into Meta’s culture's impact on its Llama models. Nathan also shares unconventional career advice for succeeding in the AI landscape and recommends a thought-provoking book.

Nathan Lambert, an AI researcher at AI2, and Jasmine Sun, a Substack writer, dive into the fascinating ways AI is transforming media. They discuss the challenges of monetizing content and the disparities in pay within journalism. The duo debates the competitive landscape between U.S. and China in AI, advocating for transparency and innovation. They also explore the dynamics of gender and content creation, highlighting the unique barriers faced by female creators in the digital space. Tune in for a blend of humor and deep insights!

In this engaging discussion, David Marcus, co-founder of Lightspark, elaborates on his vision for a decentralized payment network leveraging Bitcoin. Ben Thompson analyzes the evolving tech landscape and AI's influence on business models. Richard Socher shares insights from the AI research front, while Naeem Talukdar discusses the fusion of AI in filmmaking. Scott Belsky reflects on the changing nature of creativity in the digital age. The conversation weaves through key industry changes, highlighting innovation and adaptability in technology.

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.