Minsuk Chang
minsuk.bsky.social
Minsuk Chang
@minsuk.bsky.social
Research Scientist @ Google Deepmind. Opinions are my own.

minsukchang.com
Utterance Is Place Enough | Frances Richard
Mapping conversation
www.cabinetmagazine.org
November 25, 2025 at 5:46 AM
Reposted by Minsuk Chang
Come be our colleague in the robotics and embodied intelligence center at NYU!
🔷 Professor in Robotics / Embodied AI (Open Rank)
apply.interfolio.com/176977
🔷 Faculty Fellow in Robotics / Embodied AI
apply.interfolio.com/177077
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
November 18, 2025 at 8:01 PM
Reposted by Minsuk Chang
Physical Intelligence has a recipe for real world RL on top of VLAs and it looks impressive: www.pi.website/blog/pistar06
A VLA that Learns from Experience
A method for training our generalist policies with RL to improve success rate and throughput on real-world tasks.
www.pi.website
November 18, 2025 at 12:41 AM
I'm hiring a student researcher for next summer at the intersection of MARL x LLM. If you're a phd student with experience in MARL algorithm research, please apply and drop me an email so that I know you've applied! www.google.com/about/career...
Student Researcher, PhD, Winter/Summer 2026 — Google Careers
www.google.com
November 7, 2025 at 4:31 AM
Reposted by Minsuk Chang
Hundreds of hours of European driving data from NVIDIA! 1700 hours total
Big day for autonomous driving research.
Nvidia just dropped 1700 hours of public driving data on HuggingFace from over 2500 cities:

huggingface.co/datasets/nvi...
huggingface.co
October 28, 2025 at 8:20 PM
Reposted by Minsuk Chang
Trying to keep my professional chill but I’m SO excited Carnegie Mellon is launching a cluster hire in computational humanities—MULTIPLE JOBS!

1. Asst Teaching Track Prof in Computational Humanities - apply.interfolio.com/173622
2. Asst Tenure Track Prof in CH - apply.interfolio.com/173626
September 18, 2025 at 7:27 PM
Reposted by Minsuk Chang
Our NeurIPS submission arxiv.org/abs/2502.08938 did not get in, but it's one of my favorite papers and I think one of the better papers we've ever put out so I want to highlight it
Reevaluating Policy Gradient Methods for Imperfect-Information Games
In the past decade, motivated by the putative failure of naive self-play deep reinforcement learning (DRL) in adversarial imperfect-information games, researchers have developed numerous DRL algorithm...
arxiv.org
September 18, 2025 at 8:35 PM
Reposted by Minsuk Chang
Do you have a PhD (or equivalent) or will have one in the coming months (i.e. 2-3 months away from graduating)? Do you want to help build open-ended agents that help humans do humans things better, rather than replace them? We're hiring 1-2 Research Scientists! Check the 🧵👇
July 21, 2025 at 2:21 PM
Reposted by Minsuk Chang
Archive of archives.
worrydream.com/Links2025/
Links 2025
worrydream.com
June 29, 2025 at 4:58 PM
Reposted by Minsuk Chang
Claude Code, meet your rival: Gemini CLI 🔥🚀

Google just unleashed Gemini 2.5 Pro at the command line—free, open-source (Apache 2.0) , 1-million-token brain baked right into your terminal. Chat, code, search, script—all with zero tab fatigue.
June 26, 2025 at 1:21 AM
Reposted by Minsuk Chang
Don't have a robot? Try our newest Gemini Robotics on-Device VLA in simulation!

Or become a trusted tester and tune and adapt the model yourself!

www.youtube.com/watch?v=nVMY...
Gemini Robotics on-device in simulation
YouTube video by Google DeepMind
www.youtube.com
June 24, 2025 at 2:34 PM
I really think ACs can be completely replaced by LLMs. Finding the right reviewers, sending (reminder) emails, nudging them for discussions, summarizing reviews, etc... The only issue is that LLM calls are expensive, whereas human ACs work for free because we all volunteer. Sigh.
June 24, 2025 at 12:07 AM
Reposted by Minsuk Chang
Hiring a postdoc to scale up and deploy RL-based planning onto some self-driving cars! We'll be building on arxiv.org/abs/2502.03349 and learn what the limits and challenges of RL planning are. Shoot me a message if interested and help spread the word please!

Full posting to come in a bit.
Robust Autonomy Emerges from Self-Play
Self-play has powered breakthroughs in two-player and multi-player games. Here we show that self-play is a surprisingly effective strategy in another domain. We show that robust and naturalistic drivi...
arxiv.org
June 21, 2025 at 5:14 PM
Reposted by Minsuk Chang
I work in the best university in the world, less than 3 hours from my rural hometown, yet superstar students travel here from all over the world… if we keep treating them badly, will centers of excellence move elsewhere?

"If my kids excel, will they move away?"

jeffreybigham.com/blog/2025/wh...
In Pittsburgh, I’m a professor at Carnegie Mellon University in the top computer science school in the world. I’ve also worked in various large technology companies, who have offices in Pittsburgh to connect with and employ Carnegie Mellon faculty and students.
jeffreybigham.com
June 22, 2025 at 1:13 PM
Reposted by Minsuk Chang
👀This is impressive: Using an autonomous agent based on o3-mini and GPT-4.1, a team from Harvard, MIT & other institutions reproduced and updated an entire issue of Cochrane Reviews in two days… saving 12 person-years of work.

The AI reviews captured more papers & were more accurate than humans.
June 14, 2025 at 2:00 AM
Reposted by Minsuk Chang
Yes!! Originally, generative ML modeled a joint distribution, e.g., P(X,Y), whereas discriminative ML modeled a conditional distribution, e.g., P(Y|X). A famous paper by Ng and Jordan (papers.nips.cc/paper_files/...) compared naive Bayes (generative) to logistic regression (discriminative). 1/
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
papers.nips.cc
June 3, 2025 at 4:42 AM
Reposted by Minsuk Chang
🤖💡 Are LLMs really developing social behaviors—or just reproducing familiar patterns from training? In our new paper, @pettertornberg.com and I take a closer look at recent claims of emergent conventions in AI and offer a different perspective... 🧵
June 2, 2025 at 6:41 AM
Reposted by Minsuk Chang
Weave household robot cleaning up. This is teleop, but it's a really cool first step towards a commercial product.
May 29, 2025 at 4:54 AM
Reposted by Minsuk Chang
Humans' ability to invent their own games & goals is at the core of open-ended learning.

Understanding and modeling computationally how they do it would be enlightening to understand better human cognition and build open-ended AI

Great step in this direction in new paper by Guy Davidson et al.
May 28, 2025 at 2:20 PM
TPUs are amazing.
May 24, 2025 at 7:01 PM
TIL Canada has its own professional men's basketball league and Vancouver has a team.
May 23, 2025 at 10:01 PM
Reposted by Minsuk Chang
Announcing AlphaEvolve, our new LLM coding agent that has
- made new scientific discoveries
- discovered algorithms that are now deployed at Google (in Gemini, Transformers, TPU hardware design & data centers)

Blog: deepmind.google/discover/blo...
White paper:
storage.googleapis.com/deepmind-med...
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
deepmind.google
May 14, 2025 at 8:11 PM
Reposted by Minsuk Chang
The idea of "AI alignment" grew out of a community that thought you could solve morals like it was a CS problem set. Nice to see a more nuanced take.
May 9, 2025 at 2:49 PM
Reposted by Minsuk Chang
[1/2] We've released the code for LegoGPT. Our autoregressive model generates physically stable and buildable designs from text prompts by integrating physics laws and assembly constraints into LLM training and inference.

Code: github.com/AvaLovelace1...
Website: avalovelace1.github.io/LegoGPT/
May 10, 2025 at 3:06 AM
Coach Pop, please write a book.
May 3, 2025 at 4:44 AM