本期主题
- Sponsors, Comments, and Reflections
- China vs US: Who wins the AI race?
- ChatGPT vs Claude vs Gemini vs Grok: Who is winning?
- Best AI for coding
- Open Source vs Closed Source LLMs
- Transformers: Evolution of LLMs since 2019
- AI Scaling Laws: Are they dead or still holding?
- How AI is trained: Pre-training, Mid-training, and Post-training
- Post-training explained: Exciting new research directions in LLMs
- Advice for beginners on how to get into AI development & research
- Work culture in AI (72+ hour weeks)
- Silicon Valley bubble
- Text diffusion models and other new research directions
- Tool use
- Continual learning
- Long context
- Robotics
- Timeline to AGI
- Will AI replace programmers?
- Is the dream of AGI dying?
- How AI will make money?
- Big acquisitions in 2026
- Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta
- Manhattan Project for AI
- Future of NVIDIA, GPUs, and AI compute clusters
- Future of human civilization
访谈亮点
本期对话围绕Sponsors, Comments, and Reflections、China vs US: Who wins the AI race?、ChatGPT vs Claude vs Gemini vs Grok: Who is winning?、Best AI for coding等话题展开。完整内容请收听原节目。
