Nathan Lambert

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, 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.

Nathan Lambert, a Bay Area-based CS PhD and writer for the Interconnects newsletter, joins to discuss the psyche of AI engineers in Silicon Valley and what Washington should understand about it. He explores the advancements of GPT-40 and the implications of Google's AI Dev Day, emphasizing the race for innovation. The conversation delves into the contrasting cultures of OpenAI and Google, the importance of user-centric design in AI, and how increased computational power reshapes organizational dynamics. It's a deep yet engaging dive into the current state and future of AI.