CortexAI

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@cortexairobot

Building the world's most diverse real-world, real-workplace, and industry-scale egocentric + robot dataset.

San Francisco, CA cortexrobot.ai Joined April 2025

11 Following 684 Followers 43 Posts

Latest posts 5

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CortexAI @cortexairobot Oct 6

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.

Here’s how it works 🧵

1:00

CortexAI @cortexairobot 3d

subtask: walk_to_booth_701 ✅

Cortex AI is coming to CoRL in Austin, Nov 9–12.

We collect real-world data to train robots, and we deploy them with humans in the loop.

Come say hi at Booth #701.
@corl_conf #CoRL2026 🤠🤖

CortexAI @cortexairobot Oct 27

We're at @SwitchSingapore this week demoing Cortex Harness 🤖

Use natural language to tell robot arms to perform a task and see how we use human intervened recovery data to help robots perform more intelligently 🦾

CortexAI @cortexairobot Sep 17

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. 🥇

Here are some few surprising things that Astra did to come out on top. 🧵

0:04

CortexAI @cortexairobot Jun 21

Open science robotics foundation models are the fastest way to get robots into the real world.

MolmoAct 2 has now seen 600k+ downloads across its models and datasets.

Cortex AI contributed high-quality, long-horizon real-world data for the bimanual YAM setup and conducted large-scale real-world evaluations across multiple policies.

We'll keep pushing open science to bring robot intelligence out of the lab and into the real world.

Stay tuned.

RoboPapers Verified account @RoboPapers Jun 18

There are few truly open models in the world, including both weights and data. However, these models are crucial for research and development of new systems — they help us learn which data is important and help develop new capabilities for deploying robots in the real world.

MolmoAct2 provides a foundation for open research into robotics. It is associated with its own open dataset, an open-data action tokenizer, and a reasoning variant which predicts depth tokens. And people have actually been using it across the community, running experiments in their own labs or homes.

@hq_fang and @DJiafei tell us more. Watch Episode 87 of RoboPapers, with @micoolcho and @chris_j_paxton, now!

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