Chris Yoo

15x hackathon winner | Physical AI

[Jim Fan @DrJimFan]

ENPIRE -> ASPIRE, our 2nd work in the series for Physical AutoResearch. We are building the components for robot self-improvement, one /skill at a time.

[Eren Chen @ErenChenAI]

In talks with a lot of robotics founders, researchers, and professors recently.

I've noticed a clear shift: More and more people are preparing to start companies.

It feels like robotics is entering a phase where ideas will flourish, startups will multiply.

And while consolidation is inevitable, the long-term outlook has never looked more exciting.

[Yan Chang @Dr_YanChang]

How can robots learn dexterous manipulation from human demonstrations at scale?
Excited to share CHORD: Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration.
CHORD learns from human demos by focusing not only on where contact happens, but how that contact moves the object through force and torque guidance.
This unified contact-wrench representation carries human manipulation skills across diverse behaviors, long-horizon tasks, whole-body embodiments, and real-world hardware.
We evaluated CHORD on large-scale, long-horizon, contact-rich tasks paired with human demonstrations, spanning rigid, articulated, and multi-object manipulation.
At scale:
* 82.12% average success across 1,831 tasks
* 90.77% whole-body manipulation success
* 4,739 sim-ready dexterous manipulation benchmark
* Transfer to real dexterous hands

Project page: https://t.co/cAnHaJUy6P
Tech report: https://t.co/oWMzszwrgw
Code will be released soon as part of Video to Data repo https://t.co/spdPL4Gxt6, our end-to-end pipeline for converting human demonstration videos into simulation-ready assets and physics-grounded robot training data.
Huge thanks to amazing contributors: @zhu_xinghao , Zixi Liu, Shalin Jain, Chenran Li, Milad Noori, Huihua Zhao, John Welsh, @michaelv03, Wei Liu, @TingwuWang , Xingye (Dennis) Da, @zhengyiluo, Vishal Kulkarni, @sNaema, @yukez, @DrJimFan, @bowenwen_me, @danfei_xu, @SohaPouya, @Dr_YanChang.
#Robotics #PhysicalAI #DexterousManipulation #RobotLearning #NVIDIA

[Qwen @Alibaba_Qwen]

📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc adaptation.

🤔 LLMs are trained to be better agents — better at acting in environments. But nobody has trained them to model the environments themselves.

🗺️ Our roadmap: investigate how language world modeling can push the boundaries of general agent capabilities, along two routes:

1️⃣ Build a foundation model for environment simulation — outperforming Claude Opus 4.8 and GPT-5.4 on AgentWorldBench

2️⃣ Investigate how world modeling enhances agent training:
🔬 Controllable Sim RL (agentic RL with LWM as environments) surpasses training in real environments
🧠 Learning to predict environments (LWM warm-up) makes agents stronger — remarkably, even without any agent-specific training, this predictive knowledge transfers to agentic tasks with zero fine-tuning

📑 Paper: https://t.co/Jx2l5RKq71
📖 Blog: https://t.co/7tVcKyhsx2
💻 GitHub: https://t.co/B5Lvb1UZCn
🤗 HuggingFace: https://t.co/Kw3QBL1TM5
🧩 ModelScope: https://t.co/YBnGYgMWWI

[Enactic @enactic_ai]

We are excited to announce the release of a new OpenArm teleoperation device: KER (Kinematic Equivalent Replica). This is a lightweight leader device that shares the exact same joint structure as OpenArm 2.0.

KER uses only encoders for each joint, no motors, allowing for smooth and easy operation with zero resistance. Every joint maps 1:1 to OpenArm 2.0, so no coordinate transforms are needed.

This release marks the completion of the OpenArm 2.0 ecosystem. KER, OpenArm, and the Cell are all open source and are ready to be used in state-of-the-art reproducible research! 🦾

#OpenArm #OpenSource #Robotics

[Chris Paxton @chris_j_paxton]

Berry pickup from @KyberLabsRobots

Robot hands that can pick up fragile objects quickly will be important to solving long-tail of robotics problems not currently automated

[LeRobot @LeRobotHF]

You don't need hardware to play with robots!

Thanks to this project you can have SO-ARM101 running an ACT policy inside your browser. Really cool project!

[Chris Yoo @pentestduck]

@rynhay

[Chris Yoo @pentestduck]

TikTok for startup jobs.
Swipe right to apply with a 60s video.

Transparency first: show runway, funding size etc. on first scroll
Discoverability first: get your early-stage startup's roles in a wide hiring network + build a talent pool

Reply "startup" for waitlist

[Chris Yoo @pentestduck]

@anything LFG

[Anything @anything]

Introducing Anything Max: Vibe Coding that's leaps above Lovable and Bolt

We've raised money at a $100M valuation and built what we believe is the future of vibe coding.

We asked 100 vibe coders to build their apps side by side on Lovable, Bolt, and Anything Max and they rated Anything Max the winner across all 3 categories - accuracy, design, and 'overall'.

Here's why:

• Full-stack control: Max can test backend hooks, branch database states, and debug issues, because Anything owns the full infrastructure.

• Max can load up your app in its own browser and click on all buttons like a human tester to find all edge case bugs, then trace the bug across the stack - could be a frontend, backend, or a database issue (only we can do this, read #1) and autonomously fix it with 97% accuracy.

Lovable and Bolt build prototypes, but Max users are building production-ready apps and already charging money for them.

Blake built a gut biome app to $10K run rate
Anthony built a referral tool to $20k in revenue
Yuri built a suite of apps doing $40K

Build your app with Max: https://t.co/haQw8s04mB

--------------------------------------------

We're hosting a $100K Hackathon to help people grow their app to $10K MRR.

- We'll teach you everything we know about growing to 1M users.
- You'll have 30 days to build a real product in public and get paying customers for it.

If you do it well, you can start the New Year with a functioning business.

Retweet and comment “LFG”, and we’ll send you a $100 discount code and the link to participate

[Chris Yoo @pentestduck]

@fdotinc https://t.co/8ckQnkCQMB

Tastebuds - run multiple vibe-prototyping agents in parallel, then swipe to pick your favorite design.

[Chris Yoo @pentestduck]

Tastebuds: the vibe-prototyping platform that lets your explore your taste.😝

Spin up dozens of agents with different models & flavors, then swipe to pick your favorite.

Great for devs who want to see the design possibilities before building it out.

https://t.co/YGKfyo6DFO

[Chris Yoo @pentestduck]

Woah, my post about @ylecun leaving Meta to build World Models just blew up on LinkedIn 🤯💥

https://t.co/htTDXdb71E

[Chris Yoo @pentestduck]

I'm noticing a trend with vibe coding:

First it was frontend prototyping,
then it became full stack with backend functionalities,
then it became even more full stack with DB, auth, payment built-in,
now you can visually click on elements to edit them.

What's next?

[Chris Yoo @pentestduck]

Ever opened up 4 tabs of vibe coding platforms (Lovable/v0/Replit/Bolt) and copy-pasted the same prompt just to choose the best design?

Now you don't have to. Run dozens of vibe-coding agents at once, then Tinder-swipe to pick your favorite design.

https://t.co/8ckQnkCQMB

[Chris Yoo @pentestduck]

CompTIA Linux+ Beta passed - 781/721!

[Chris Yoo @pentestduck]

I just pwned Driver in Hack The Box! https://t.co/LQvF9XUxsy #hackthebox #htb #cybersecurity

[Chris Yoo @pentestduck]

I just pwned Previse in Hack The Box! https://t.co/geEhck7l8z #hackthebox #htb #cybersecurity