Evan Huang

Physical AI x Health @robot_health

[Cheng Lou @_chenglou]

My dear friends, I’d like to show you my latest toy project

Introducing Handwired: turn your regular JavaScript code into a neural net!
- no training
- exact outputs vs the JS program
- fully differentiable

All runnable in a browser, without GPU

[Evan Huang @itseyh]

@aryind_ @adarshkulkarni Congrats Ary!

[Jacky Kwok @jackyk02]

Introducing Contrastive Language Model (CLM): an ultra-fast System One Model trained with a contrastive learning objective that connects states and actions.

CLM-8B is pre-trained on internet-scale data and delivers up to 9× faster inference than Jev ⚡ while achieving comparable performance across computer-use, gaming, and tool-calling tasks.

With lightweight fine-tuning, CLM-8B sets a new SOTA on challenging agentic coding benchmarks, such as DeepSWE (81.6%) and Terminal-Bench 2.1 (87.6%). In contrast, Jev fails to serve as an effective verifier for these long-horizon tasks.

We also build an efficient training and serving infra for CLMs by disaggregating states and actions, allowing their embeddings to be cached and reused independently. This substantially reduces inference latency in settings where the state evolves continuously while the action set remains fixed.

Finally, we establish scaling laws for CLMs and show that the test contrastive loss decreases predictably as a power law in training compute, model size, and dataset size.

📄 Blog: https://t.co/zwi9JOHKGx
💻 Code: https://t.co/rsHRYCGR8I
🗣️ Discord: https://t.co/Uqtdefvo3J
🤗 Data & Models: https://t.co/wdSWGGO3hu

More details on CLM’s architecture, data recipe, and scaling laws in the thread below 🧵

[Evan Huang @itseyh]

In an alternative reality, I too would love to live a life of training cormorants to fish for me. Amazing mini-documentary - I don't think AI can even dream of this idea...

https://t.co/3A6gFeuClZ

[Figure @Figure_robot]

Today we’re releasing Helix 2.5

We rented 30 homes in the Bay Area. The robots arrived with no additional training and started doing useful work

[Matthieu Lapeyre @matth_lapeyre]

Shenzhen is basically Claude Code for hardware people.

[World Labs @theworldlabs]

Introducing Atlas:

The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D.

Model the world, move the camera, and simulate space & time.

[Binh @pham_blnh]

just had a quick look at microduck_rl

the codebase is very elegant, i’d recommend reading the agent.md since it contains quite a few fun quirks for reward modeling like

head tracking too tight impairs walking cause the head is 38% of the duck’s weight, so it naturally oscillates -> to solve this, smooth the head tracking error using ema, essentially penalizing only the dc bias

also a few other quirks as you dig deeper into the codebase like how they model the backlash of the motor by adding an unactuated hinge (with very small range) in series with the motor

gg @antoinepirrone

https://t.co/p7tvex9RSp

[Anto Patrex (r/aw) @antopatrex1]

elder care robotics is the most underrated market in physical AI right now. japan is 5 years ahead on this and the results are real. robots helping seniors stay independent longer isn't dystopian, it's genuinely beautiful.

[Amy Mathews @amymatthy]

@sidsudhakaran @yurigagrinn @ReddySuryatej @abstract_alge 4/VOICE WAR ROOM: This wall is how App got built. And after launch, we erased it. We're a company that believes in clean surfaces

[Evan Huang @itseyh]

@antopatrex1 Super bummed that they discontinued it... it's crazy how much you can build using lego blocks

[Evan Huang @itseyh]

@JasonrShuman They are among the few Chinese cos that are deliberately building up a ground team here in the U.S., lots of presence from conference to local meetups - big confidence boost for after-sale support (e.g., not having to wait 6 weeks for replacement parts)

[Blake Marggraff @BlakeMarggraff]

In Shenzhen, Shanghai, & Guangzhou, the robots were cool, but the food was 🔥

[stash @stash_pomichter]

Excited to announce that Dimensional is now THE compliant gateway for robots to access the US

Big thanks to dimOS contributors cited in the National Security Determination and our supporters in government

Working closely with our partners home & abroad to secure network attacks, eliminate data exfiltration, and protect American infrastructure from foreign backdoors

[Elon Musk @elonmusk]

Starship as seen from Starlink satellites

[Stefan Weirich @stefan_weirich]

World models will eat robotics.
@bfl_ai x @mimicrobotics

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[Anto Patrex (r/aw) @antopatrex1]

industrial robotics deployments grew 31% YoY in Q1 2024 and everyone's celebrating. meanwhile 68% of manufacturers still say integration complexity is the main reason they can't actually deploy. hardware and software both work fine individually, the bottleneck is nobody has enough people who know how to wire them together on a factory floor running 15-year-old PLCs with zero documentation.