Introducing Cortex Harness, a platform for running AI models on real robots with remote human guidance.
Prompt a robot to act. Steer it with language. Let a human take over remotely when needed to keep tasks moving.
Choose from GPT-6 Astra (Ultrafast), Claude, Gemini, open-weight models, and VLAs.
Hereโs how it works ๐งต
@robocurve Anywhere you have an internet connection, you can prompt Dream-1 to control your robot.
Here are rollouts from beta testers from 8 countries, and from our office in SF.
Introducing Cortex Harness, a platform for running AI models on real robots with remote human guidance.
Prompt a robot to act. Steer it with language. Let a human take over remotely when needed to keep tasks moving.
Choose from GPT-6 Astra (Ultrafast), Claude, Gemini, open-weight models, and VLAs.
Hereโs how it works ๐งต
@CyberRobooo Exactly! Cortex Harness connects AI models to real robots, with humans able to step in remotely when needed. Each recovery becomes data for future training.
@Scobleizer Thanks Robert! A human in Singapore helping a robot 8,000 miles away in SF recover with minimal latency, then handing control back to the model. Thatโs what we're building toward: robots that keep doing useful work, with less human intervention over time.
We're also inviting researchers, developers, and industry partners to our beta program. Participants will receive $100 in credits.
Read more about Cortex Harness and join our waitlist here ๐
https://t.co/mDSUnx8E3W
4. Capture every recovery ๐๏ธ
Each intervention records where the model got stuck, how a human helped, and what happened next so models can learn from every recovery.
The goal is a continuous improvement loop: deploy, identify failures, recover with human help, collect recovery examples, train, and redeploy.
To train MolmoAct 2 in collaboration with @allen_ai, we created the MolmoAct 2-Bimanual YAM dataset, a 700-hour collection of robot demonstrations involving two machine arms working together.
You can learn more about it here. ๐
https://t.co/6jtJF8WD93
We tested GPT-6 Astra, Gemini 3.8 Flash, and Fable 5.1 on two real-world robot tasks from our MolmoAct2 real-world evaluations:
1. Fitting a 5 mm pipette tip
2. Loading a microwave
Astra scored highest on both. ๐ฅ
Here are some few surprising things that Astra did to come out on top. ๐งต