Recently, there has been a change in the robotics track that I think is more worth paying attention to than 'robots are getting smarter': Robots are transitioning from demos to real production environments. For example, Agility Robotics' Digit, according to its disclosure on September 15th, has accumulated over 65000 hours of work at customer sites in North America; In GXO's warehouse, over 100000 tote transfers have been completed with an accuracy rate of approximately 98%. This means that a problem is starting to become very realistic: After robots start truly creating value, who will verify that they have completed their work? Who sets the price for it? Who is responsible for settlement? This is also a point that Konnex pays more attention to. At present, AI models are already very rich. There are a large number of models on Hugging Face that can be used for robot control and task execution. In the future, developers can provide these "robot AI brains" to other robots or enterprises for use. But the fact that the model can be used does not mean that the completion of the task can be reliably confirmed. The core of Konnex's Proof of Physical Work is to turn whether a robot has completed a task into a verifiable question. for example A warehouse robot receives a handling task → the robot executes → generates cameras GPS、 Motion/torque data → Independent Validator verifies these evidences → Confirm task completion → Release custodial funds. In this way, AI、 A closed loop has truly formed between robots and payments: AI provides capabilities → Robot executes physical tasks → Proof verifies results → Stablecoin completes settlement I think the real value of Web3 here is not simply to attach a token to the robot, but to try to solve a problem that is difficult to be solved by the traditional Internet: How can a machine without a shared trust base pay for physical work completed by another machine? Furthermore, if this mechanism matures, it may lead to: Robot A releases tasks → Robot B receives orders → Robot B completes tasks → network verification → automatic settlement. That is, the Machines hiring Machines described by Konnex. Of course, we are still far from this stage. So I am actually more concerned about its actual performance on Testnet now: Can Proof of Physical Work maintain sufficient validation reliability in complex and realistic physical tasks? This may be more important than any narrative. At present, Testnet can explore scenarios such as drone navigation, robotic arm tasks, and 3D Mapping. If you are interested, you can go for a run and see https://hub.konnex.world/points?referral_code=CUTHDFH1