# NVIDIA GEAR 实验室推出 ENPIRE：首次在物理世界启用 AutoResearch

- 来源：Jim Fan (@DrJimFan)
- 发布时间：2026-06-17 00:31
- AIHOT 分数：64
- AIHOT 链接：https://aihot.virxact.com/items/cmqgvrahc00xcslpupgh8h503
- 原文链接：https://x.com/DrJimFan/status/2066921736369766762

## AI 摘要

NVIDIA GEAR 实验室首次在物理世界启用 AutoResearch，推出 ENPIRE 项目。给 8 个 Codex 智能体分配机器人舰队、GPU 和 token 预算，目标快速安全完成任务。人类退出后，机器人舰队自主学会寻找视觉线索、重置场景、练习新技能、调整控制栈、阅读论文、辩论反思。ENPIRE 能高精度完成扎带、整理细针、安装 GPU 等任务。发现物理扩展：8 机器人并行探索比少机器人效率显著提升。实验室部分可整夜自我改进，早上读取报告。所有内容将开源。

## 正文

Today， we enable AutoResearch in the physical world for the first time！ Introducing ENPIRE： we give 8 Codex agents a fleet of robots， an allocation of GPUs， and generous token budget. We set them free with a simple goal： solve the task as quickly as possible， keep the robots busy but stay safe， don't waste precious compute. Make no mistake.

Then humans step aside and our watch begins. The robot fleet starts to come alive： they learn to look for visual clues， reset the scene， practice novel skills， tinker with control stack， read papers online， debate， reflect， get stuck， and try again directly on the hardware. All we did is to give Codex an API to the world of atoms， and the rest is emergence.

ENPIRE is able to solve high-precision tasks like tying zip-ties， organizing fine pins， and installing GPUs all by itself. We also discovered a new type of "physical scaling"： 8 robots exploring in parallel improves significantly faster than fewer ones.

A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning.

/goal： we all take a holiday and Jensen wouldn't even notice ；）

We will be open-sourcing everything， so you can host your self-running robot lab at home too！ Deep dive in the thread：