Omi looks a little like an Apple AirTag and wants to be your next wearable AI companion. The goal is for Omi to know when you’re talking to it without a prompt, no “Hey…” needed. Hopes for Omi go much farther, with the catchphrase: thought to action. Whether Omi takes off or not its pretty clear in near future, AI will always be listening (if it isn’t already).
For now, the Omi’s actual purpose is much simpler: it’s an always-listening device (the battery apparently lasts three days on a charge) that you wear on a lanyard around your neck that can help you make sense of your day-to-day life. There’s no wake word, but you can still talk to it directly because it’s always on. Think of it as 80 percent companion and 20 percent Alexa assistant.
Shevchenko is confident that Omi can improve on those other devices. All of Omi’s code is open source, and there are already 250 apps in the store. Omi’s plan is to be a big, broad platform, rather than a specific device or app — the device itself is only one piece of the puzzle. The company is using models from OpenAI and Meta to power Omi, so it can iterate more quickly on the product itself.
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while omi seems cool the always listening nature and data overreach of ai models leaves much to be desired.
the neurosky platform was easier to build and integrate with more privacy.
it was even compatible with artoo in ruby. if they offered a circuit python version with a neurosky style approach that would be a more secure and less invasive interface.
thought to action still relies on bad models that mistranslate. even youtube cant get closed captions right so i doubt any model will truly get the thoughts right.
Every Wednesday is Wearable Wednesday here at Adafruit! We’re bringing you the blinkiest, most fashionable, innovative, and useful wearables from around the web and in our own original projects featuring our wearable Arduino-compatible platform, FLORA. Be sure to post up your wearables projects in the forums or send us a link and you might be featured here on Wearable Wednesday!
while omi seems cool the always listening nature and data overreach of ai models leaves much to be desired.
the neurosky platform was easier to build and integrate with more privacy.
it was even compatible with artoo in ruby. if they offered a circuit python version with a neurosky style approach that would be a more secure and less invasive interface.
thought to action still relies on bad models that mistranslate. even youtube cant get closed captions right so i doubt any model will truly get the thoughts right.