# swyx谈模拟智能体：从玩梗到严肃

- 来源：swyx (@swyx)
- 发布时间：2026-08-22 07:47
- AIHOT 分数：35
- AIHOT 链接：https://aihot.virxact.com/items/cmt3lvsk00vl8ro6t3e6vmmsj
- 原文链接：https://x.com/swyx/status/2090948945753076141

## AI 摘要

swyx在访谈中坦言，自己迟了两年才真正理解为何Karpathy、李飞飞等人支持Simile团队，并称“模拟是新的扩展定律”并非营销话术。他认为，当模型自动化大部分ML研究和AI工程后，最后壁垒是模拟人类行为与反馈。Simile已实现85%准确率的数字孪生，并在财富100强企业中找到PMF。

## 正文

I think its easy to say "Simulation is a new scaling law" and treat it as marketing hyperbole, but midway along this interview you can hear me go from somewhat shitposting to very very serious.

I am 2 years late to this but finally understand why @karpathy and @drfeifei backed @joon_s_pk @msbernst @percyliang et al - Smallville at the time had zero commercial applications, but if you take RSI seriously, from models automating increasingly large parts of ML research and AI engineering, the last* barrier is simulating humans and human feedback, and Simile is obviously the team to do this and already finding PMF at Fortune 100s even at this early stage.

I've never been so happy to be so wrong.

*or second last ! :) more soon on the Science pod

### 引用推文

> Latent.Space：Simulating Humanity: 85% accurate digital twins, behavioral foundation models, social physics, & 8 billion agents https://www.latent.space/p/simile @simile_ai C...
