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2:36:13ZH → English
Zhang Xiaojun Podcast· Feb 24, 2025Podcast · 2 speakersSonglin Yang on New Attention Papers from DeepSeek, Kimi, and MiniMaxGuest Songlin Yang(松琳) · Host 张小珺From dynamic sparse attention to hybrid linear-attention architectures: how three approaches to long context balance training, inference, and hardware efficiency.Transformers & attentionGPU programming & kernelsModels & training+2
2:49:35ZH → English
Zhang Xiaojun Podcast· Feb 4, 2025Podcast · 2 speakersPan Jiayi on R1, o1, and Kimi K1.5: How Reinforcement Learning Teaches Models to ReasonGuest 潘嘉怡 · Host 张小珺Pan Jiayi, a Berkeley PhD student, walks through reasoning-model reports from DeepSeek, OpenAI, and Kimi, unpacking long chains of thought, GRPO, reward design, and distillation. R1-Zero’s “aha moment” shows how reasoning strategies can emerge through reinforcement learning.Reinforcement LearningModels & trainingAI research+2
1:27:13ZH
Zhang Xiaojun Podcast· Dec 29, 2024Podcast · 2 speakers李想:汽车将从交通工具进化为空间机器人Guest 李想 · Host 张小珺理想汽车 CEO 李想谈公司为何从造车走向人工智能:基座模型是 AI 时代的操作系统,汽车是进入物理世界的重要载体。对他而言,技术路线最终要落实为更好的用户体验、能力与长期价值。AI StrategyProduct StrategyAutonomous Driving+2
1:33:07ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersLi Guangmi on a Year in Global LLMs: Scaling Law, the AGI Bet, and the US–China LandscapeGuest 李广密 · Host 张小珺Drawing on his front-row view from Silicon Valley, Shixiang Capital founder Li Guangmi looks back at the competition among OpenAI, Anthropic, Google, and Chinese model companies. He argues that model capability and cost together will shape the next wave of applications, while today’s enormous investments are bets on whether intelligence can keep scaling and how AI will reshape the economy and industry over the long term.Models & trainingScaling LawsAI research+2