This system uses a sensor to receive user inputs and then figures out what those inputs mean. Based on this understanding, it routes the inputs to specific functions or capabilities, even adjusting for subtle changes in meaning over time. Crucially, it also physically moves and positions the sensor to get the best possible input from the user.
Why it matters: Filed before advanced AI models could infer semantics. The semantic inference and drift logic is now more feasible with current LLM capabilities.
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