Hsuan Su

Ph.D. student @ntu_spml
Research on Data Synthesis

[Fan-Yun Sun @sunfanyun]

This Thursday in SF. Come by to say hi, will be sharing some of our latest!

https://t.co/CkciUk9HAZ

[Fan-Yun Sun @sunfanyun]

@chrmanning is sharing our approach to embodied general intelligence at AI Engineers!

Room 2006

[Rebecca Qian @rebeccatqian]

3 years ago I was a researcher at @AIatMeta frustrated with LLM evals.

Today we are announcing our $50M Series B to develop agent simulation research and infrastructure 🚀🚀🚀

Also releasing a preview of our Digital World Model 👀

[Fan-Yun Sun @sunfanyun]

🚀

[Sharon Lee @sharonal_lee]

Taking main stage at AWE 2026 to demystify world models alongside @bilawalsidhu.

9:55–10:45 AM, Grand Ballroom. Details in comments
#awe2026

[Sharon Lee @sharonal_lee]

Thank you to everyone who came out to Moonlake’s Happy Hour at CVPR!
We had 750+ sign-ups overall, so we couldn’t accommodate everyone this time - but our team will be around for the next few hours if you’d still like to chat.
Grateful for the energy and support around Moonlake!

[Sharon Lee @sharonal_lee]

Join us tomorrow at CVPR for great food and even better company! We have an amazing group of researchers, founders, and industry leaders attending.

We’re currently over capacity, but if you’d like to join, DM me a short blurb about your research and we’ll do our best to fit you in.

https://t.co/odTcr3f01F

[Oncel Tuzel @OncelTuzel]

Our team at Apple MLR is presenting 4 papers at #CVPR2026! If you're attending, stop by and chat with the authors about our research. 🧵

📌 Velox — Malik et al.
https://t.co/bOoEP1LTLC
Jun 6, 11:45 AM MDT
📌 AMusE — Chowdhury et al.
https://t.co/ew9hiPp85i
Jun 6, 4:45 PM MDT

[Hsuan Su @jacksukk]

RT @VioletNPeng: My first paper at Google is out! Thank you @rohanpaul_ai for highlighting LEAP.

To share more thoughts on this direction:…

[Sharon Lee @sharonal_lee]

Heading to CVPR June 4–7. Shoot me a DM if you’d like to chat or have recommendations for events, talks, or meetups!

I’ll also be speaking about Moonlake and our journey so far: https://t.co/UbHelDKHVE

Come and say hi if you’re around!

[Sharon Lee @sharonal_lee]

Warehouse example.

[Sharon Lee @sharonal_lee]

We generate both the engine code and the reskinned, photorealistic outputs. DMs are open if either sounds relevant to you! :)

[Sharon Lee @sharonal_lee]

Here’s a sneak peak into a fully generated articulated, sim-ready engine output based on only input image. We work with point cloud and video inputs as well.

Any annotations needed i.e., segmentation comes for free as we have full visibility and control all of the engine code base.

Medical room example.
Reference image (left), 3D agent output (right)

[Fan-Yun Sun @sunfanyun]

Real-time neural rendering model @moonlake

Works on from any physics/game engine to close the sim-to-real gap.

If this is relevant to your team, I'd love to chat (my DM is open)!

[Sharon Lee @sharonal_lee]

Heading to the Robotics Summit & Expo in Boston right now (May 27–28).

If you're here and want to chat about digital twins/ simulations DM me!

[Sharon Lee @sharonal_lee]

We’re opening a few more spots for enterprise design partners to work closely with us on Moonlake’s 3D agent + world generation stack.

If your team works on environment art, world building, simulation, or large-scale content pipelines, we’d love to collaborate closely and shape the product around real production workflows.
Current partners are using it for:
• asset generation
• scene/world generation
• technical art workflows
• rapid iteration + prototyping

We’re keeping this small and hands-on for now. Feel free to DM me if this is relevant to your team!

[Fan-Yun Sun @sunfanyun]

If you believe digital AGI will be solved before physical AGI, work on simulation.

We will have:
A. self-improving physics engine. Newton can already be agentically adapted to different downstream applications (and is built in the first place with this intention).
B. on-demand generation of digital twins (e.g., @moonlake’s 3D agent and more generically, world models).

All of the hardest problems in physical AI will be reduced to a single question: “does the labor value unlocked by the policy exceed the simulation compute cost needed to bridge the deployment gap?”

[Sharon Lee @sharonal_lee]

Our agent is an autonomous system built for complex, multi-step workflows, not just one-off tool use or copilot.
It behaves like a technical artist over time, building assets, placing objects step by step, and maintaining consistency as the scene evolves.
It works through iterative refinement, improving its reward over long-horizon tasks spanning hundreds of steps.
It is a long-running agent, not just a copilot, and can learn to one-shot generalize to your workflows.

[Moonlake @moonlake]

Introducing Moonlake's 3D Agent.

Our agent acts like a technical artist that can build and reconstruct articulated assets and large-scale editable scenes with hundreds of objects from a single image and can improve its generations continuously.

Learn more in the thread below.

[Oncel Tuzel @OncelTuzel]

Our research group at @Apple is presenting 6 papers at ICLR 2026. If you're attending, come meet our colleagues @FartashFg, @raviteja_vemu, @ChangRick, Cem Koc, Ting-Yao Hu.

We’re also looking for strong researchers for an Efficient ML Research
https://t.co/9K5Q6gRTgc

Thread 👇