

Interconnects
Nathan Lambert
Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories. www.interconnects.ai
Episodes
Mentioned books

30 snips
Sep 9, 2025 • 14min
On China's open source AI trajectory
Dive into China's ambitious open-source AI strategies and their quest for global influence. The podcast highlights government efforts to bolster national AI capabilities and the geopolitical ramifications of these developments. It discusses the pride within Chinese tech sectors, the ongoing pursuit of self-sufficiency, and the innovative spirit driving this evolution. Listeners can ponder the potential impacts of China's AI efforts on the international landscape thanks to initiatives like the AI Plus plan.

69 snips
Aug 17, 2025 • 13min
Ranking the Chinese Open Model Builders
China is surging ahead in the AI race with groundbreaking open model releases this summer. The discussion highlights the top 19 labs, including the impressive DeepSeek, known for their high-quality models. Emerging players are also making waves, contributing to a rapidly evolving ecosystem. With standout releases like Qwen 3 and Kimi K2, the landscape is a blend of established and new innovators. The future looks promising as these labs are set to rival their Western counterparts, keeping AI enthusiasts on their toes.

72 snips
Aug 15, 2025 • 10min
Contra Dwarkesh on Continual Learning
The discussion centers on the concept of continual learning in AI and its implications for true artificial general intelligence. One thought-provoking argument suggests that continual learning may not be the primary bottleneck in AI advancement. Instead, the focus should be on scaling existing systems. The conversation also critiques the perceived limitations of current large language models in generating human-like responses, questioning why they haven't transformed Fortune 500 workflows despite their capabilities.

65 snips
Aug 7, 2025 • 11min
GPT-5 and the arc of progress
The discussion dives into the chaotic expectations surrounding the release of GPT-5. It balances the ambition for AGI against the realities of its consumer-friendly features. Reactions range from disappointment among insiders to excitement from everyday users. The hosts highlight how GPT-5 reinforces OpenAI's market position while also being affordable and effective. This upgrade may not fulfill all lofty narratives but solidifies its status as a high-performing AI system.

19 snips
Aug 5, 2025 • 14min
gpt-oss: OpenAI validates the open ecosystem (finally)
OpenAI's latest release introduces two powerful open-weight language models, revolutionizing the AI landscape. The smaller and larger variants boast impressive parameter counts, making them accessible on various hardware. This launch marks a significant shift, as OpenAI's competitive stance evolves by offering models that rival their own products. The discussion highlights the newfound potential of open models, addressing previous concerns about risks and performance. It’s a game-changing moment for the AI ecosystem!

16 snips
Aug 4, 2025 • 22min
Towards American Truly Open Models: The ATOM Project
Exciting developments in AI as a new initiative aims to boost open language models in the U.S. The ATOM Project seeks to reclaim America's leadership in AI research amid growing competition from China. It encourages community participation instead of traditional fundraising, emphasizing investment in open models. The discussion highlights the evolution from the original DeepSeek concept and stresses the importance of maintaining a competitive edge in a rapidly changing technological landscape.

91 snips
Jul 29, 2025 • 1h 15min
Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
Ross Taylor, Co-founder of Papers with Code and former Galactica lead at Meta, dives deep into the dynamic landscape of AI. He discusses recent breakthroughs in Chinese models and OpenAI’s future releases, shedding light on the competitive AI ecosystem. Ross shares critical 'do's and don’ts' for training organizations and highlights overlooked areas in reasoning research. The conversation touches on evolving evaluation metrics and the impact of AI on productivity, all while navigating the complexities of model development and organizational culture.

15 snips
Jul 23, 2025 • 13min
The White House's plan for open models & AI research in the U.S.
The White House's new AI Action Plan highlights the necessity of open models for driving innovation and academic progress. It discusses how these models can empower startups and researchers while reinforcing U.S. leadership in AI. The podcast also delves into geopolitical challenges affecting access to computing resources and the importance of formulating strategic policies. Furthermore, it explores how global standards influenced by other nations, like China, necessitate a U.S. response that upholds democratic values in AI governance.

53 snips
Jul 14, 2025 • 7min
Kimi K2 and when "DeepSeek Moments" become normal
The launch of Kimi K2 marks a pivotal moment in AI, showcasing China's competitive edge over Western models. As an open-source agentic model, Kimi K2 highlights a significant shift in AI development that could reshape global dynamics. Discussions revolve around the implications for geopolitics and the urgent need for the West to reevaluate its AI strategies. With Kimi K2 outperforming existing models, the episode also touches on notions of open modeling and the evolution of AI's frontier.

58 snips
Jul 4, 2025 • 11min
The American DeepSeek Project
The podcast dives into America's waning influence in the AI landscape, highlighting China's rapid advancements in open-source models and datasets. It discusses the alarming trend of researchers favoring Chinese publications over Western ones. There’s a call to action for the DeepSeek Project to champion trustworthy AI development. The need for open access to AI technologies is emphasized to prevent monopolization and encourage community-driven, ethical AI practices. Listeners are urged to support responsible developments in the evolving AI sector.