Companies like One X deploy robots that are remotely operated by humans to complete tasks. This strategy provides immediate value to customers while simultaneously collecting vast amounts of real-world training data, which is the primary bottleneck for developing full autonomy.

The primary problem for AI creators isn't convincing people to trust their product, but stopping them from trusting it too much in areas where it's not yet reliable. This "low trustworthiness, high trust" scenario is a danger zone that can lead to catastrophic failures. The strategic challenge is managing and containing trust, not just building it.

A significant portion of content released by competitors in the humanoid space is not autonomous. Instead, the robots are being remotely controlled (teleoperated) by a human. This is a crucial, often hidden, detail that misrepresents the true state of a company's AI capabilities.

The 1X robot's teleoperation, often seen as a sign of immaturity, is actually a key feature. It allows for both a "human-in-the-loop" expert service for complex tasks and personal remote control, like checking on a pet, creating immediate utility beyond full autonomy.

While many in the robotics industry chase the "fully autonomous" narrative, teleoperation—having remote workers control machines with Xbox controllers—is an extremely valuable and practical step. Customers care about task completion, not the level of autonomy, making teleop a key tool for gathering training data and ensuring reliability.

AI model capabilities have outpaced their value delivery due to a fundamental design problem. Users are inherently scared and distrustful of autonomous agents. The key challenge is creating interaction patterns that build trust by providing the right level of oversight and feedback without being annoying—a problem of design, not technology.

Companies developing humanoid robots, like One X, market a vision of autonomy but will initially ship a teleoperated product. This "human-in-the-loop" model allows them to enter the market and gather data while full autonomy is still in development.

While Figure's CEO criticizes competitors for using human operators in robot videos, this 'wizard of oz' technique is a critical data-gathering and development stage. Just as early Waymo cars had human operators, teleoperation is how companies collect the training data needed for true autonomy.

Dr. Fei-Fei Li asserts that trust in the AI age remains a fundamentally human responsibility that operates on individual, community, and societal levels. It's not a technical feature to be coded but a social norm to be established. Entrepreneurs must build products and companies where human agency is the source of trust from day one.