# Nathan Lambert 与 Epoch AI 的 datagenproc 录制播客，探讨决定前沿 AI 未来的开放问题

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-09-22 21:43
- AIHOT 分数：41
- AIHOT 链接：https://aihot.news/items/cmucqndi10k6troedrztdimfh
- 原文链接：https://x.com/natolambert/status/2102393303849111984

## AI 摘要

Nathan Lambert 与 Epoch AI 的 @datagenproc 录制新播客，探讨决定前沿 AI 未来的开放问题。话题涵盖 RSI 预测、机器人技术在 AI 加速中的作用、中国模型落后程度、蒸馏能否解释差距、中国实验室招聘信息透露的信号、开源与闭源模型安全性对比，以及前沿后训练配方长什么样。

## 正文

New podcast with @datagenproc of @EpochAIResearch digging into the open questions determining the future of frontier AI! We cover:

00:00 Predictions for RSI
18:15 The role of robotics in an AI acceleration
24:20 How far behind are Chinese models?
27:39 Does distillation explain the gap?
40:58 What Chinese job postings reveal about their labs
48:13 Are open or closed models safer?
58:10 How Epoch AI ticks
1:00:55 What a frontier post-training recipe looks like

He's one of the people who gives the best feedback on my writing, so I was stoked to have him on.