# Nathan Lambert 讲解 AI 评测演进与智能体评测

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-08-06 04:43
- AIHOT 分数：50
- AIHOT 链接：https://aihot.virxact.com/items/cmsgkyag308siro5qiipv1197
- 原文链接：https://x.com/natolambert/status/2085104437924888597

## AI 摘要

Nathan Lambert 发布评测讲座，梳理其亲历的评测时代变迁：从 GPT-3 提示词式“高级自动补全”，到如今复杂的智能体沙盒环境。讲座重点剖析智能体评测（借鉴 @xeophon 观点），并探讨评测如何被操纵及其真实用途，涵盖后训练评测时代、智能体评测入门及“数字能否可信”等章节。

## 正文

My evaluation lecture! I walk you through different evaluation eras I've been a part of, from prompting GPT-3 as elaborate autocomplete to today's complex agentic sandboxes (I expand on agentic more than any other topic, drawing on @xeophon's insights).

This lecture is a birds eye view of how evaluation has changed, how it can be gamed, and what it's actually used for.

00:00 Intro: frontier evaluation is harder than ever
03:39 Part 1: The eras of post-training evaluation
17:36 Part 2: An intro to agentic evals
21:19 Part 3: Can you trust the number?
30:41 Takeaways & conclusion

Thanks for watching! Just one more lecture after this :)