6g

Network data is easy to fake. Accountability is not. That is the uncomfortable little problem sitting behind synthetic data. A team can simulate users, devices, traffic surges, mobility patterns, channel interference, and edge-network behavior long before a full 6G deployment exists. This is useful. It is also slightly dangerous. A synthetic dataset can look realistic, train a model successfully, and still carry hidden bias, brittle assumptions, weak provenance, or regulatory gaps. Reality is not only a distribution. It is also a chain of responsibility. ...

Control is the unglamorous word hiding under the fashionable one. A telecom operator says: “Enter energy-saving mode, but keep user 3 above 50 Mbps and everyone else above 10 Mbps.” That sounds like a natural-language interface problem. Parse the sentence, extract the numbers, send the command. Very modern. Very demo-friendly. Also very incomplete. ...