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

Is the Mistic Backdoor Hiding in Your Security Tools?

Introduction The emergence of the Mistic backdoor represents a sophisticated advancement in the arsenal of modern cybercriminals, specifically those operating within the niche of Initial Access Brokering (IAB). This malicious software, also identified by some security researchers as MLTBackdoor, has been actively infiltrating corporate environments throughout the first half of 2026. Its primary strength lies in its ability to camouflage

Is the Redmi 17C the New King of Budget Smartphones?

Dominic Jainy is a seasoned IT professional with a deep understanding of how hardware evolution impacts the budget mobile market. Today, he breaks down Xiaomi’s latest strategic move with the Redmi 17C, a device that surprisingly leaps over a generation to deliver high-refresh-rate displays and massive battery life to the entry-level segment. We explore the balance between essential utility features,

How Can PowerTool Speed Up Business Central Data Migrations?

Modern enterprises frequently encounter significant friction during ERP transitions because traditional data migration methods often fail to accommodate the sheer volume and complexity of contemporary datasets. In 2026, the demand for agility within Microsoft Dynamics 365 Business Central has reached a point where standard configuration packages, while functional for small tasks, often act as a bottleneck for larger implementations. The

How to Move Beyond the Portal to a True Developer Platform?

Dominic Jainy stands at the forefront of the modern cloud-native movement, possessing a deep technical mastery of artificial intelligence, machine learning, and blockchain architectures. With years of experience navigating the complexities of large-scale IT infrastructures, he has become a leading voice in the evolution of platform engineering. His perspective is shaped by the practical realities of moving beyond simple automation

Will AI Token Costs Soon Surpass Developer Salaries?

Recent financial projections indicate that the cost of maintaining high-frequency artificial intelligence interactions is rapidly approaching the median annual compensation of experienced software engineers in the global market. As the software development industry undergoes a radical transformation, the traditional overhead associated with human labor is being challenged by the sheer volume of data processed through large language models. This shift