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by mplappert 93 days ago
That seems like quite an extrapolation and an extraordinary statement. This is a single task, in a lab setting. What your describing are extremely open-ended tasks in people’s homes.

What is informing these timelines?
1 comments
ilaksh 93 days ago
Look at recent developments/announcements involving novel increasingly generalizable learning capabilities from projects like 1X/Neo, Figure 03, Skild AI. Also see open published work like MimicDroid, HDMI, GenMimic, Humanoid-Union Dataset, RoboMirror, Being-H0

Figure 03:

https://www.youtube.com/watch?v=e-31-KBBuXM

https://www.youtube.com/watch?v=ZUTzuhkDG3w

1X Neo:

https://www.youtube.com/watch?v=lS_z60kjVEk

Skild AI

https://www.youtube.com/watch?v=YRmjBdKKLsc (Learning by Watching Human Videos)

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mplappert 93 days ago
Yeah those are demos. I think we‘re pretty far away from this becoming a real thing. I wrote up why here: https://matthiasplappert.com/blog/2026/humanoid-robot-in-the...
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ilaksh 92 days ago
You're not really trying to see the advances in things like the data flywheel. If you were you would see that those demos represent real movement towards generality.
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mplappert 92 days ago
Where’s the data flywheel exactly?
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