Boston Dynamics Big Dog (new video March 2008)

On a more flippant level, isn't it pretty obvious that robot ponies are going to be a thing that is possible to have some time in the next century or two? We've already got something that's kind of moving in that direction, and this was a few years ago: this video

link Insight, creativity, and general intelligence are all different and active areas of research. There is quite a lot of progress in creativity. Google for 'creative software'. Insight can mean many things, but Watson can now provide insights into cancer diagnosis. Consciousness is actually fairly well understood in terms of attention, focus, and other aspects. Artificial general intelligence is a very active field seeing quite a bit of progress. Here is a bird that flies with flapping wings: link (By the way, that is completely unrelated to AI). Walking over uneven terrain, (also completely unrelated to artificial general intelligence): link this video Deep learning is beyond statistical pattern matching. It does involve both supervised and unsupervised learning. Deep learning is currently the most successful technique, but not the most ambitious approach in AGI. Google for 'AGI', 'deep learning', 'sparse autoencoder', 'hierarchical hidden Markov model', 'OpenCog', 'spiking neural network', 'Hierarchical Temporal Memory'

Just because he ruled it out doesn't mean that it's not a factor. People become attached to lots of inanimate items, and can feel emphathy for robots [1] [2], though perhaps not as strongly as with living creatures. US Military soldiers can develop an emotional connection with bomb disposal robots. [3] I definitely sympathize with this dog-like robot slipping on ice: this video Even though it's clearly a robot with no attempt to make it look or act like a dog. I can definitely believe that people can become attached, even fall in love with, their robot dogs. [1] link [2] link [3] link

> > Meanwhile, many of the tasks that seem most basic to us humans—like running over rough terrain or interpreting body language—are all but impossible for the machines of today and the foreseeable future. > Wow no. ...wow indeed. No research at all. Often I just read the comments here and skip the article, but that made me go and look to be sure. For anyone somehow still unaware (BigDog creepiness factor was nearly viral back when I was in college around 2008), BigDog has been handling rough terrain for over a decade: this video Here's BigDog getting abused to see what it can recover from (including being kicked in the side): link Here's a running cheetah robot jumping over unexpected obstacles (2015): link And here's a two-legged robot walking around outside (2017): link

Progress takes time, and ambulatory motion is a finicky, delicate nightmare that only seems simple in humans and animals thanks to millions of years of evolution. CAM was created in the 1960s[0], but BigDog[1] and other recent Boston Dynamics quadrupeds that aren't designed for human passengers are much faster[2], but still awkward. Also remember these are expensive prototypes designed to test things other than speed. Making them faster only guarantees that they break themselves harder when they run into a wall or trip over a cliff or something. [0] link [1] this video [2] link >I think Neal Stephenson described a skateboard with hundreds of tiny feet, moving faster than wheels on any surface. I want to see that. I am neither Neal Stephenson nor a physicist but I'm pretty sure the friction caused by the increased surface contact of "hundreds of tiny feet" versus wheels would still make the wheels faster and more efficient. Geckos and things can stick to vertical surfaces and move quickly because they're lightweight. Anything capable of sticking to an arbitrary surface and supporting human weight is going to be slow. And if moving downhill, wheels don't really need to do work - gravity does the work. Something with "hundreds of tiny feet" either has to slide or "walk."