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There has been a lot of hype news in robotics + AI lately, as the AI updates just continue to come at a blinding pace. From Tesla/XAI we have the Optimus robot, which I can't tell if this is a major breakthrough or just another marketing splash driven by Elon.
On the other side of the fence, you have Nvidia releasing an open foundational model for robotics and partnering with Disney of all companies to make a droid robot.
You also have Google's I/O, which I haven't had the energy to look into.
With the speed of AI updates and the wars of hype, it's always hard to tell who is actually advancing the frontier. But it does seem that in particular robotics are advancing quite rapidly compared to even a couple of years ago. Personally I think that while automating white collar work is useful and such, AI entering into robotics will be the real game changer. If we can begin to massively automate building things like housing, roads, and mass manufactured goods, all of the sudden we get into an explosive growth curve.
Of course, this is where AGI doomer fears do become more salient, so that's something to watch out for.
Either way, another day, another AI discourse. What do you think of this current crop of news?
It’s true that robotics is getting renewed attention, but this seems to be more the result of increased investment rather than any foundational sea change in knowledge or theory. The fixation on a bipedal and human-ish one is also just that, a fixation, and still leads to some difficulty even moving around consistently - see for example the robot marathon and of course claims that the Tesla robots have been somewhat relying on human controllers last I heard. No new paradigms yet there.
There continues to be progress on the LLM front but this is actually, maybe contrary to the impression you are getting, slowing. I wouldn’t call it a plateau at all but there’s a real sense of struggle out there. Most of the focus in the last six months has been tool use of various kinds, rather than fundamental improvements, though there are some theoretical ideas kicking around that might prove fruitful. On the contrary the major research labs have started to see some diminishing returns. Meta notably can’t even catch fully up to the front players and most of the team quit in frustration. Anthropic has been stuck in a bit of a rut with 3.7 only a mixed improvement over 3.5 and in some ways a regression. OpenAI has had trouble getting the so-called “version 5” off the ground that’s an impressive enough improvement to deserve the name. Google is catching up and adding some neat things. Context windows are going up. “Agent” systems are being experimented with more. Video generation is showing some sparks of brilliance but the compute required is pretty steep. Deepfake video and voice, even real time stuff, is the biggest issue right now, more than any AGI crap.
Do you have any source on this? I'd love to learn more.
This article is a good top level summary. This post was unverified but the reasons seem to match other reporting that the most recent model is a massive sunk cost. The head and VP not only both resigned last month but also asked their names not to be put on the eventual release. “Most of the team” probably overstated sorry. I accidentally took out of context the still notable fact that 11 of 14 of the authors of a major paper on the fundamental AI research team at Meta have left since publication and formation in 2023. Either way, Meta is behind absolutely but everyone is slowing. IMO we need another theoretical leap, probably about implementing “memory”, to keep progress rolling.
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