In other words, neural networks are shockingly inefficient and the algorithmic ceiling on intelligence is way higher.
(An efficient representation would use more of the variance for itself)
Researchers built a soft floating robot for indoor interaction.
It uses helium and flapping fins instead of propellers.
The result is quiet, lightweight, and safe to touch.
It can follow people, give reminders, and act as a study buddy.
Published at ACM DIS 2026.
Surprised we have yet to see a robotics startup pitching a household rail system, which skips all the current hardware problems of batteries and legs
This lets it focus on the MVP, doing chores (in house), and hands.
NEO is amazing, but hot take: I think there are form factors more radical and exciting than humanoids... when will we see cthulu bots? What's with the robotics community's collective failure of imagination?
@signulll A huge real world application of AR will be hiding ugly features of cities (ie highways and parking lots). Post-“spatial computing” Houston could (for pedestrians) look like a European city.
@mathemagic1an I don’t follow. These seem independent. You could get audio observations from eg egocentric walking tour videos on YouTube. You could demonstrate speaker based noise cancellation with two speakers and a good mic
@zan2434 Would be epic to see:
- More advanced component selection (buttons, shapes)
- Concept painting (I want stuff under this square to look like an ornate flower display, and under that circle ramen)
- Output post processing, eg depth anything -> psuedo-3d output
- Bake to HTML