I’ve used LLMs dozens of times a day, everyday since about 3.5 and that’s just for my personal use cases not even including work. There is a weak argument to be made right now that coding is solved. Physical AI is exploding right now with robots getting tantalizingly close to actually being workers irl. What the hell are you talking about?
I've seen some interesting new robotics advances, but few have become viable products yet. An example that keeps coming up is laundry robots.
Here's one, https://www.weaverobotics.com/isaac-0, a $4000 static laundry folding robot. Of course it's only available in California and some unspecified percentage of folding will be completed via teleoperation.
Same company claims they will soon start selling an $8000 mobile maid bot that tidies and folds laundry.
IDK, it looks like it needs lots of work. If it was actually able to pick up my crap and fold my laundry, I'd be tempted, but it would also need to not phone home with camera data, the audio or other content of conversations. I'd also want an easy way to shut it down in an emergency.
When you can replace human sewing machine operators in garment factories, that's when you'll see widespread adoption of robots across the economy. Managing big pieces of fabric is hard.
I think we've still got a long way to go before we get jetsons style robot maids.
Unitree is not a joke. They’re pulling off some crazy stuff. That being said in the US Figure just put out like a nine hour video of it cleaning unseen homes. The tasks were all pretty basic, but it was able to do them and that’s just the start. Sunday robotics has a three hour stream of robots folding clothes correctly 99% of the time. We’re going to have a physical LLM lift off soon if we’re not already in it. They’re already seeing that increasing training data causes leaps in ability.
