AI 2026: Scaling Laws, China, and the Race for AGI

Is the global AI landscape shifting toward a "DeepSeek moment" where cheaper, open-weight models from China challenge the dominance of US frontier labs? Join machine learning experts Sebastian Raschka and Nathan Lambert as they dissect the technical breakthroughs of 2025, from the evolving physics of inference-time scaling to the intensifying competition between organizations like OpenAI, Anthropic, and their international counterparts. Listeners will discover how these advancements are fundamentally transforming the future of software engineering and explore the realistic, often "jagged" roadmap toward AGI.