- How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context LearningThe Cognitive Revolution · 2026-10-10采样不是对既定答案的简单包装,因为新生成的文字又会进入上下文,成为模型继续推理、维持自洽的依据。
- Academia is for Ambition — Alex Zhang, MITLatent Space · 2026-10-02Alex 不把现有的自回归解码器视作语言模型的唯一形态,也不认为智能体 harness 只是工具调用的包装。
- Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano ErmonNo Priors · 2026-09-18diffusion LLM 因**并行生成多 token**、工作负载更接近训练
- Humanity’s Last Invention — Richard Socher of RecursiveLatent Space · 2026-09-14其核心含义是:人类智能并非所有维度的终点,当前 AI 研究距离理论上限仍很远;
- Greg Brockman on Why OpenAI Says We’re Entering the AGI Eraa16z Show · 2026-09-14宣称 **Astra** 已达可合理称为 AGI 的水准(含约 24 小时连贯任务)
- AI researchers debate how close we are to recursive self-improvementDwarkesh Podcast · 2026-09-11当前 Transformer+RL 范式距全局最优仍可能差一次不连续创新
- Can Open Source Keep AI Power From Concentrating?a16z Show · 2026-09-07Transformer 的"全网数据依赖"导致规模竞赛,但这只是不到十年的技术路径,非终局。
- GPT-6 Hits AGI? Tech Euphoria 2.0, SF Mansion Shortage, NYC Bans AI in Schools & Venezuela Oil DealAll-In Podcast · 2026-09-04Chamath和Greg Brockman认为AGI已经到来,OpenAI的GPT-6模型是一个重要的里程碑。
- Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI Research Scientist Noam BrownNo Priors · 2026-06-26尽管模型可以通过增加计算预算来提高性能,但在某些任务上仍然存在瓶颈。
- #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI RevolutionLex Fridman Podcast · 2026-03-23四条 Scaling Laws:智能最终受算力约束