Robot Dogs Learn New Tricks While I Learn Another Hangover

Nov. 12, 2024

Look, it’s 3 AM and I’m four fingers deep into a bottle of Kentucky’s finest when this story crosses my desk. Robot dogs doing parkour. Because apparently regular dogs weren’t good enough for the lab coat crowd – they had to build ones that could do backflips while we regular humans still trip over our own feet walking to the liquor store.

But here’s the thing that sobered me up real quick: they’re teaching these mechanical mutts using AI hallucinations. No, I’m not talking about the kind you get after mixing tequila with cold medicine. I’m talking about something called LucidSim, which is basically ChatGPT on steroids telling robot dogs where to put their feet.

Here’s how it works, and trust me, you’ll want to pour yourself a drink for this one: They fed ChatGPT thousands of prompts to describe different environments. We’re talking everything from “ancient alleys with tea houses” to “unkempt lawns with dry patches.” Sounds like ChatGPT’s been hanging out at some of the same dumps I frequent.

The genius part – and yeah, I hate admitting when these tech wizards actually do something impressive – is that they turned these AI fever dreams into actual training grounds. They mapped 3D geometry and physics onto these hallucinated environments, creating virtual obstacle courses for their robot pups.

Now, the numbers are where this gets interesting. They tested their robo-pooch against traditional training methods, and holy hell, the results are enough to make you spill your bourbon. In finding traffic cones, the AI-trained dog hit 100% success rate compared to 70% with old methods. Finding soccer balls? 85% versus a sad 35%. And stairs? Perfect score versus 50%.

You know what’s really keeping me up at night, besides this cheap whiskey? The fact that they did all this without the robot ever seeing the real world. That’s right. While I need three cups of coffee and a greasy breakfast to function after a rough night, these metal mongrels are learning to navigate our world through pure imagination.

The real kicker? This is just the beginning. One of the researchers, some MIT hotshot named Phillip Isola, says they could make it even better by using more sophisticated video models. Because apparently, teaching robots to do parkour better than Olympic athletes isn’t impressive enough already.

Let’s be honest here – this is simultaneously brilliant and terrifying. We’re essentially teaching machines to learn about our world through AI-generated fever dreams, and they’re getting better at it than we expected. It’s like that time I tried to teach my neighbor’s cat to fetch while completely hammered. Except this actually worked.

Here’s what keeps me up at night (besides the usual existential dread and cheap bourbon): We’re creating a generation of robots that can learn to navigate our world without ever actually experiencing it. They’re learning through pure simulation, getting better at physical tasks than some humans I know. And they don’t even need aspirin the next morning.

The future’s coming at us fast, friends. While we’re arguing about whether pineapple belongs on pizza, these four-legged chrome charmers are out there perfecting their parkour game through digital daydreams. And they’re doing it with the kind of success rate that makes my batting average at the local bar look pathetic.

But you want to know the really wild part? This might actually be good news. Because if we can teach robots to learn this way, maybe we can keep them in their virtual playpen a bit longer before letting them loose in our world. Though knowing our luck, they’ll probably figure out how to order delivery and never leave their charging stations, just like half the programmers I know.

So here’s to the future, where robot dogs learn through AI hallucinations and probably do backflips better than any of us ever could. At least they haven’t figured out how to drink bourbon yet. When that happens, you’ll find me in my bunker with my emergency stash of single malt.

Until next time, this is Henry Chinaski, signing off to stock up on more whiskey before the robot dogs learn to raid liquor stores.

[Posted at 4:17 AM from my usual barstool, where the neon still flickers and the bourbon still burns]


Source: Generative AI taught a robot dog to scramble around a new environment

Tags: ai robotics machinelearning innovation automation