Nanogram, a 'TikTok for games' app, uses AI agents and a custom engine to allow users to generate fully playable 3D games from simple text prompts. What once took a programmer a week can now be accomplished in about 90 seconds, dramatically lowering the barrier to game creation.
While people commonly share video clips or text, sharing interactive games is not an established behavior. Nanogram is changing this, observing that for every 100 likes on a game, it receives 30 to 50 shares. This high ratio suggests the platform is creating a new viral loop.
To create a powerful data flywheel for AI training, ONE X estimates that deploying 10,000 robots into the world would generate a data influx comparable to the daily upload rate of YouTube. This provides a concrete benchmark for the scale required to achieve self-improving general intelligence in robotics.
Instead of focusing on in-app purchases, Nanogram's founders envision a future where brands create engaging, interactive ads. For example, Domino's could build a playable game where asteroids are pizzas, and the call-to-action is to order the pizza created in-game.
Instead of reacting to its environment, ONE X's world model AI allows its robots to 'think' forward and simulate potential outcomes of an action. Like a human anticipating spilling hot coffee, the robot can identify risks and select the safest trajectory, which is critical for operating in a home.
For zero-to-one technologies like humanoid robotics, relying on a supply chain is too slow. ONE X develops everything in-house, from new materials to foundation AI models. This enables rapid, cross-disciplinary iteration, as key discoveries happen at the intersection of hardware, software, and materials science.
The mobile gaming app has 20% of its users playing over 25 games per session, with average session times of 21 minutes. This high level of engagement, achieved without a sophisticated content algorithm, indicates a powerful core product loop and strong initial product-market fit.
Contrary to starting in controlled industrial settings, ONE X believes the complex, diverse, and social nature of the home is the best environment to develop true general intelligence. The robot must learn to navigate social context, like holding a door for someone, which is data unavailable in a factory.
ONE X designs its robots with human-like physical properties, down to skin tissue stiffness. This allows them to effectively leverage the internet's vast repository of human video data (e.g., YouTube) as a training set, bootstrapping intelligence without needing to create an entirely new internet-sized dataset.