Xiang Fu Profile
Xiang Fu

@xiangfu_ml

Followers
2K
Following
1K
Media
28
Statuses
394

mts @periodiclabs. prev @AIatMeta @MIT_CSAIL

San Francisco, CA
Joined July 2019
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@xiangfu_ml
Xiang Fu
27 days
I joined @periodiclabs in May. We’re building AI scientists + autonomous labs to create breakthroughs you can hold. Longer take: https://t.co/g4kMSiwYBP More on Periodic:
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periodic.com
From bits to atoms.
@LiamFedus
William Fedus
27 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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@HannesStaerk
Hannes Stärk
22 hours
Excited to release BoltzGen which brings SOTA folding performance to binder design! The best part of this project has been collaborating with many leading biologists who tested BoltzGen at an unprecedented scale, showing success on many novel targets and pushing its limits! 🧵..
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@xiangfu_ml
Xiang Fu
24 hours
To adapt to today's world, crank down discount factor and crank up learning rate
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@xiangfu_ml
Xiang Fu
3 days
Every AI researcher should read two essays. One of them you already know. The other is "More is Different" by P. W. Anderson.
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@ChenyuW64562111
Chenyu (Monica) Wang
9 days
Introducing SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models We propose a new policy gradient algorithm, SPG, for diffusion large language models. SPG improves the accuracy over the previous state-of-the-art RL methods by 3.6% in GSM8K, 2.6% in MATH500, 18.4%
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@xiangfu_ml
Xiang Fu
5 days
It’s sad to see great researchers leaving FAIR, a research org that was once the best place to do AI research.
@tydsh
Yuandong Tian
5 days
Several of my team members + myself are impacted by this layoff today. Welcome to connect :)
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@gabe_mrgl
Gabe Margolis
6 days
Excited to share SoftMimic -- a new approach for learning compliant humanoid policies that interact gently with the world.
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@LiamFedus
William Fedus
22 days
@periodiclabs is following the natural progression of reward functions since 2022 from human-preference models (in RLHF), from math + code verifiable RMs (in reasoning models), to reward functions grounded in the physical world (in end-to-end optimization against experiment)
@a16z
a16z
22 days
ChatGPT learned from human feedback. The next generation of AI will learn from the laws of nature. Liam Fedus (co-creator of ChatGPT, now at Periodic Labs) says models will train through “experiment in the loop”, using real-world results, not human preference, as their reward
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@johnschulman2
John Schulman
26 days
Tinker provides an abstraction layer that is the right one for post-training R&D -- it's the infrastructure I've always wanted. I'm excited to see what people build with it. "Civilization advances by extending the number of important operations which we can perform without
@thinkymachines
Thinking Machines
26 days
Introducing Tinker: a flexible API for fine-tuning language models. Write training loops in Python on your laptop; we'll run them on distributed GPUs. Private beta starts today. We can't wait to see what researchers and developers build with cutting-edge open models!
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@mzhangio
Michael Zhang
27 days
excited to share what we’ve been up to! at Periodic Labs, we’re creating AI scientists they think, design experiments, and optimize for results they also run experiments by moving robot arms in an autonomous lab it’s a fun, multi-turn task, with lots of open problems for AI
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periodic.com
From bits to atoms.
@LiamFedus
William Fedus
27 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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@emirhan_krtls
Emirhan Kurtuluş
27 days
I am proud to have helped build @periodiclabs as a founding team member. Creating AI scientists and autonomous labs, RL-maxxing our way there, is the mission of a lifetime. Looking forward to be back in January to keep advancing the science x AI frontier. Incredible team, blindly
@LiamFedus
William Fedus
27 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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@VincentMoens
vmoens
27 days
🚀 Thrilled to share that I’ve joined Periodic Labs in my dream role! We’re building end-to-end AI systems that act as scientists in the real world. Most people talk about “AI scientists” as LLMs that reason about data. We’re aiming higher...
@LiamFedus
William Fedus
27 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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@yusan_lin
Yusan Lin
27 days
Today, my boyfriend @LiamFedus launched his company, Periodic Labs. I feel so lucky to have witnessed it from day one—Liam is the hardest-working person I know and the most passionate about science. From the start, our home became a gathering place for some of the brightest
@LiamFedus
William Fedus
27 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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@khoomeik
Rohan Pandey
27 days
Oh btw huge thanks to @johnohallman @aryaman2020 @bayeslord @tszzl @willccbb @dwarkesh_sp @itsclivetime @dylan522p @LiamFedus @tamaybes @AnjneyMidha for reading drafts of this essay and providing insightful feedback! The full substack (<5 min read) is linked below.
@khoomeik
Rohan Pandey
27 days
Excited to finally announce what I've been up to since leaving OpenAI: autonomous science at @PeriodicLabs Why? Because I Take the Bitter Lesson Seriously To accelerate AI, we must enable it to hill-climb compute & energy through experimentally verifiable science 🧵
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@a16z
a16z
27 days
Why haven’t LLMs done new science yet? One reason from @periodiclabs cofounder @ekindogus: science is iterative. LLMs haven’t been able to iterate experimentally yet. “ LLMs can be very smart, but if they're not iterating on science, they won't discover science. To be honest,
@a16z
a16z
27 days
Building an AI Physicist: ChatGPT Co-Creator’s Next Venture Scaling laws took us from GPT-1 to GPT-5 Pro. But in order to crack physics, we need a new approach. We sat down with Liam Fedus (co-creator of ChatGPT) and Ekin Dogus Cubuk (ex-materials science and chemistry lead at
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@miramurati
Mira Murati
27 days
@LiamFedus @ekindogus @periodiclabs Congratulations Liam & Dogus! Using AI to accelerate real world scientific explorations is an important pursuit
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@LiamFedus
William Fedus
27 days
*Highly* recommend Slater's article on Periodic Labs. It's a historical walk-through of computation in the sciences and an identification of current bottlenecks
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@johnschulman2
John Schulman
27 days
@LiamFedus @ekindogus @periodiclabs Congrats on the launch! Doing things in the physical world is underrated by AI people.
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@karpathy
Andrej Karpathy
27 days
@LiamFedus @ekindogus @periodiclabs We're not going to reason our way to Dyson spheres. Excited for you and all the best to the team!
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@slaterstich
Slater Stich
27 days
Very excited (millions of eV) to be working with @LiamFedus and @ekindogus and the rest of the @periodiclabs team. In the long arc of scientific history, there are a few key moments when things really accelerated — and Periodic is working on the next one. Below are some
@LiamFedus
William Fedus
27 days
Today, @ekindogus and I are excited to introduce @periodiclabs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is
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