This is off-the-cuff, so forgive me if it sounds dumb ; What about 'AI Tendrils' <-- tiny AI workers on little devices that feed the Mother AI - like an agent

This is off-the-cuff, so forgive me if it sounds dumb ; What about 'AI Tendrils' <-- tiny AI workers on little devices that feed the Mother AI - like an agent would monitor, but you tell it what info or behaviours are allowed and have that securly streamed back to the AI/model/LLM? (I dont know where the data would go) but then when you run your query/prompt youre running it against a much closer-to-processing-power than if you had to go query each device on a request? -- I thought this output from GPT was interesting for thinking of the above: https://i.imgur.com/WsxwuJh.png https://i.imgur.com/WsxwuJh.png and a BOM https://i.imgur.com/5g1mXfp.png https://i.imgur.com/5g1mXfp.png https://i.imgur.com/MdbQKx1.png https://i.imgur.com/MdbQKx1.png https://i.imgur.com/Bi0PRTQ.png https://i.imgur.com/Bi0PRTQ.png -- Actually, I asked gpt to recommend additional columns, here is the result User what columns would you suggest to add ChatGPT Here are some additional columns that you may consider adding to the HN table: * Display type: OLED, LCD, AMOLED, etc. * Display resolution: the number of pixels on the screen. * Water resistance: the level of protection against water damage. * Heart rate monitor: whether the wearable device has a built-in heart rate monitor. * Sleep tracking: whether the wearable device can track your sleep patterns. * Music playback: whether the wearable device can play music and if it has built-in storage. * NFC: whether the wearable device supports near-field communication for contactless payments. * Voice assistant: whether the wearable device has a built-in voice assistant like Siri, Google Assistant, or Alexa. * Other sensors: such as an accelerometer, gyroscope, barometer, altimeter, or compass. Keep in mind that the more columns you add, the wider the table becomes, which may make it more difficult to view or analyze. So, you may want to choose the most important columns for your specific use case and audience.