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In this podcast episode, Nathan Lambert and Sebastian Raschka discuss the state of AI in 2026, exploring advancements in large language models, scaling laws, tool use, open-source models, post-training techniques, and the broader implications of AI for human civilization.
A deep dive into Z.ai's innovative AI development culture, exploring their approach to model training, global branding, multilingual capabilities, and the unique challenges and opportunities in the Chinese AI landscape.
Nathan Lambert and Luca Soldaini from AI2 discuss the release of OLMo 3, a fully open-source AI model that provides unprecedented transparency into model training, highlighting the complex process of developing reasoning AI and the importance of open-source efforts in the global AI landscape.