1X and OpenAI Bet on Neo Gamma for Real-World Humanoid Robot Trials

Article Highlights
Off On

Norwegian startup 1X, supported by OpenAI, is set to initiate real-world home trials of their humanoid robot, Neo Gamma. Launched at Nvidia’s GTC event, the tests aim to collect critical data for refining the robot’s functionalities, marking a significant step towards commonplace household humanoid assistants.

1X’s CEO Bernt Børnich announced plans to place several hundred to a few thousand Neo Gamma units in homes by the end of the year. Early adopters will host the robots to gather data on how Neo Gamma interacts with people in real-world settings, rather than in controlled lab environments. Although Neo Gamma can perform basic tasks like walking and balancing through AI, it still needs human teleoperators for complex movements. This teleoperation helps gather essential data to enhance its future autonomous capabilities.

The trials will be vital for 1X’s internal AI model development, despite their collaborations with OpenAI and Nvidia. To address privacy concerns, 1X ensures users can control human operator access to the robot’s visual and auditory data. The growing interest in domestic humanoid robots is apparent, with competitors like Figure AI planning similar trials. There are also rumors that OpenAI is developing its own humanoid systems, highlighting the transformative potential of these robots for household chores, despite significant challenges.

Deploying robots in homes poses challenges similar to those faced by autonomous vehicle developers. Børnich acknowledges that Neo Gamma is not yet commercially viable or fully autonomous, but the data from these trials is critical for overcoming current limitations. This initiative by 1X to introduce Neo Gamma into homes marks a significant moment in domestic robotics. Combining AI with human oversight, the company aims to gather essential real-world data, paving the way for humanoid robots to become an integral part of daily life.

Explore more

What Businesses Need to Know About Customer Identity Verification

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of