Enterprise hits and misses - robotics and gen AI converge, the FTC shakes up non-competes, and AI projects need critical thinkers
- by Diginomica
- Apr 29, 2024
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Summary:
This weeks - robotics and generative AI converge, but what breakthroughs are needed? The FTC issues a landmark non-compete policy change, and IBM wants to buy Hashicorp, and enterprises need to rethink AI model sizes. Plus: your whiffs.
Share this article via Facebook Meanwhile, Chris updated on a robotics startup that is applying LLM breakthroughs to their physical machines in Sanctuary AI CEO - the robots really are coming! Thanks to transformer AI:
So, you can see how the once-separate goals of robotics and AI companies are now aligned - and why it is ‘Sanctuary AI’, not ‘Sanctuary Robotics’.
From his explanation, therefore, it seems that Rose is essentially talking about applying transformer AI models to humanoid robots (which could also embody LLMs, where necessary to receive or impart information).
I believe that LLMs will make robots much more effective in receiving instructions and interacting with the humans in their environments. This alone seems promising; I still have near-collisions with a almost-useless atonally beeping robot in my local grocery store named "Marty." Marty makes R2D2 seem like Albert Einstein.
On the other hand, I don't see the robotics breakthroughs in other types of sensory input, from touch, to smell, to just plain old survival instinct, that allows humans to adapt to situations where robots will continue to struggle. Nor do I see a path to so-called "AGI" from this particular route, but that's a debate for another time. Asking a robot to "empty all the trash from the living room" simply cannot include the rare baseball card that fell to the floor, not to mention the pet hamster. But as Chris notes, Sanctuary's CEO is lining up their growth with better use cases:
So, is Elon Musk on the right path with Tesla’s Optimus humanoids, which some reports suggest could be on sale before the end of this year?
Rose laughs and says:
'Anybody who tries to take a technology like this and penetrate the home with it first is going to flame out and die. That is a terrible idea!'
What jumps out here is the convergence of robotics and generative AI. That should help the startups in this space be more effective, hedge their bets, and go to where the short-term action/advancements are. Even if I'm right that AGI won't be found along this route, other useful inventions will surely happen from this convergence. As George notes, this seems to be the case for Rabbit, which has developed a new operating system (OS) based on what they call "Large Action Models":
Long before demoing the R1 at the CES conference, the company was working on Rabbit OS, built on a Large Action Model (LAM), a type of Large Language Model (LLM) specifically optimized for understanding and automating tasks. At the release party, Rabbit co-founder and CEO Jesse Lyu described their long-term ambitions for generative user interfaces that will allow anyone to simplify and personalize experience across multiple tools.
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