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Open Source Robot Company K-Scale Labs has announced a ~$9,000 personal robot. The entire robotics open source system: hardware, software, and machine learning infrastructure, all tightly integrated and ready for your use case. I am placing an order. I will also order Optimus.

173,836 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

Profilbild von Brian Roemmele
Brian Roemmelevor 1 Jahr

“What are you going to do with that junk Apple. It’s not as fast as a real computer and you are dreaming if you think people will actually want to own a computer. Brian what the heck are they going to use it for, get real”—1977 Garage pioneers will hear this. Now with Robots.

Profilbild von Steve Bashakus
Steve Bashakusvor 1 Jahr

@kscalelabs If toast takes this long imagine how long it will take to finish the laundry.

Profilbild von Brian Roemmele
Brian Roemmelevor 1 Jahr

@kscalelabs Yep. Lived long enough to hear this about the Apple II. It’s interesting to see folks do the same thing over and over and try to find comedy in pioneering.

Profilbild von Kevin Henrikson
Kevin Henriksonvor 1 Jahr

@kscalelabs Best part: Opensource This one is definitely interesting. Will look more on this later.

Profilbild von DigitalEdward.hc.host
DigitalEdward.hc.hostvor 1 Jahr

@kscalelabs 9000 toaster 🤣🤣😁

Profilbild von Brian Roemmele
Brian Roemmelevor 1 Jahr

@kscalelabs Here ya go…

Profilbild von He stirs up the people
He stirs up the peoplevor 1 Jahr

@kscalelabs Wondering if software upgrades will keep you from having to buy the next version. Or will they make them like they make washing machines and hot water tanks nowadays, so that you have to buy a new one in a few years.

Profilbild von Ib1netmon
Ib1netmonvor 1 Jahr

@kscalelabs "get out of my way, you useless bag of bolts, you are too slow"

Profilbild von Liberrocky
Liberrockyvor 1 Jahr

@kscalelabs I just want Rosie, when can I get Rosie.

Profilbild von Isaac
Isaacvor 1 Jahr

@kscalelabs Open source robotics echoes how early computers evolved - from proprietary mainframes to the PC revolution. But neural nets need embodiment to truly learn (Pfeifer & Bongard, 2007). Physical robots interacting with the world will advance AI faster than pure software.

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