TWITTER_POST

Garry Tan highlights Karpathy's newly open-sourced "autoresearch" as an ML…

Brief

Garry Tan highlights Karpathy's newly open-sourced "autoresearch" as an ML experimentation system designed to batch large numbers of runs with minimal manual coding. He frames its key advantage as shifting the bottleneck from compute availability to the user's ability to clearly define an experimental program in Markdown.

Source evidence

title: @garrytan: Karpathy just open-sourced autoresearch. One GPU. 100 ML experiments. Overnight....
author: garrytan
contenttype: twitterpost
published: 2026-03-08T02:01:39+00:00
source_url: https://x.com/garrytan/status/2030463927981903978

word_count: 28

Tweet by @garrytan

Karpathy just open-sourced autoresearch. One GPU. 100 ML experiments. Overnight. You never touch the code — just write a Markdown file. The bottleneck isn't compute. It's your program.md.


Posted: 2026-03-08T02:01:39.000Z
Engagement: 3243 likes, 364 retweets, 115 replies