Ludwig Schmidt

@lschmidt3

Assistant professor at @Stanford and member of the technical staff at @AnthropicAI.

Palo Alto, CA

people.csail.mit.edu/ludwigs/

Replies Reposts Media

Ludwig Schmidt
@lschmidt3
Aug 31
Even more Terminal-Bench!
Ryan Marten
@ryan_marten
Aug 29
We've pushed a version update to the Terminal-Bench dataset and leaderboard. Terminal-Bench 4.0 calibrates task resources (time, cpu, memory), implements task fixes, and removes saturated tasks.
00:00
Ludwig Schmidt
@lschmidt3
Aug 28
Very excited about this new direction for Terminal-Bench!
Steven Dillmann
@StevenDillmann
Aug 27
We're releasing Terminal-Bench-Science: a benchmark for evaluating AI agents on research workflows across scientific domains. An ongoing Stanford-led community effort, built by the team behind Terminal-Bench together with scientific domain experts at research institutions
2
Ludwig Schmidt
@lschmidt3
Jun 25
Very excited to release the next project in the DataComp / OpenThoughts line of research! Like OpenThoughts we worked on post-training data, this time with a focus on agentic models.
Richard Zhuang
@RichardZ412
Jun 24
How can we train small agentic models that are highly capable of terminal use and coding? Announcing OpenThoughts-Agent + OpenThinkerAgent-32B, the strongest Qwen-3 based open-data agentic model: 44.8% avg across 7 agentic benchmarks! (1/n)
4
Ludwig Schmidt
@lschmidt3
Jun 23, 2025
I'm a big fan of the approach to research funding @andykonwinski and the Laude team are taking! Working with them on terminal-bench has been fantastic (thanks @alexgshaw!) and I'm excited that they're going to support more open, impact-oriented research.
Andy Konwinski
@andykonwinski
Jun 23, 2025
Today, I’m launching a deeply personal project. I’m betting $100M that we can help computer scientists create more upside impact for humanity. Built for and by researchers, including @JeffDean & @jpineau1 on the board, @LaudeInstitute catalyzes research with real-world impact.
2
Ludwig Schmidt
@lschmidt3
Jun 5, 2025
Very excited to finally release our paper for OpenThoughts! After DataComp and DCLM, this is the third large open dataset my group has been building in collaboration with the DataComp community. This time, the focus is on post-training, specifically reasoning data.
22