Cruise VS Genetic Cars 2

Foxglove CEO Adrian Macneil will talk about the recurring challenges he encountered while heading infrastructure at Cruise, and how that experience led to him founding Foxglove. Afterwards, we’ll have a live demo of the Foxglove platform, with some specific robotics development use cases. Source: 9 months ago

Let me challenge you on this one: We already know Volkswagen has CARIAD, Toyota has Woven (and TRI), Stellantis has STLA Brain, and GM has Ultifi and Cruise. Source: 12 months ago

I think it's a shame that Cruise https://getcruise.com/ isn't mentioned thus far. They've been fully autonomous in San Francisco for something like a year, and are piloting in Austin and Phoenix(?) ... No need to own a car if it can be doing dozens of trips instead of paying for parking. - Source: Hacker News / 12 months ago

I’ve experienced this at Cruise AI myself as an engineer in the Machine Learning Accelerators (MLA) team. Deploying big, bulky models onto hardware constrained environments like an autonomous vehicle with strict system performance limits remain a significant challenge. Friends working at various AI and robotics teams have expressed similar frustrations. Source: 12 months ago

I'm not sure what you can do to ride in a Waymo specifically, but if you're just looking to ride in a driverless car, you can also try Cruise. They have an autonomous fleet in SF, but I think they only operate after 10pm. More info here. Source: about 1 year ago

Maybe similar in spirit as idle games: I used to enjoy BoxCar2D where you just sit back and watch cars evolve using genetic algorithm. The original version[1] requires Flash, but looks like someone ported it to HTML5[2]: [1] http://boxcar2d.com/ [2] https://rednuht.org/genetic_cars_2/. - Source: Hacker News / 28 days ago

Watch this for a while, it randomly generates a bunch of triangles and circles, the ones that make it furthest to the right have their code passed onto the next generation with random mutations. In almost no time you'll have a bunch of cars that are evolved specifically for the niche of that track. No guidance needed. Source: 5 months ago

You can actually produce a better analogy with a genetic algorithm. In the linked example, you can watch the evolution of simulated cars. Just take note that while the simulation is a good illustration of evolution, it's also, by necessity, vastly simplified. (I guess running for about 4 billion years would incur off-putting cloud costs.). Source: 6 months ago

This really doesn't require a nural net. You can run similar learning algorithms in your browser. Source: 12 months ago

I learned about genetic algorithms: https://rednuht.org/genetic_cars_2/. Source: about 1 year ago