- cross-posted to:
- energia
- cross-posted to:
- energia
Wapo journalist verifies that robotaxis fail to stop for pedestrians in marked crosswalk 7 out of 10 times. Waymo admitted that it follows “social norms” rather than laws.
The reason is likely to compete with Uber, 🤦
Wapo article: https://www.washingtonpost.com/technology/2024/12/30/waymo-pedestrians-robotaxi-crosswalks/
Cross-posted from: https://mastodon.uno/users/rivoluzioneurbanamobilita/statuses/113746178244368036
Whether you call in it programming or training, the designers still designed a car that doesn’t obey traffic laws.
People need to get it out of their heads that AI is some kind of magical monkey-see-monkey-do. AI isn’t magic, it’s just a statistical model. Garbage in = Garbage out. If the machine fails because it’s only copying us, that’s not the machine’s fault, not AI’s fault, not our fault, it’s the programmer’s fault. It’s fundamentally no different, had they designed a complicated set of logical rules to follow. Training a statistical model is programming.
You’re whole “explanation” sounds like a tech-bro capitalist news conference sound bite released by a corporation to avoid guilt for running down a child in a crosswalk.
It’s not apologeia. It’s illustrating the foundational limits of the technology. And it’s why I’m skeptical of most machine learning systems. You’re right that it’s a statistical model. But what people miss is that these models are black boxes. That is the crucial distinction between programming and training that I’m trying to get at. Imagine being handed a 10 million x 10 million matrix of real numbers and being told, “here change this so it always stops at crosswalks.” It isn’t just some line of code that can be edited.
The distinction between training and programming is absolutely critical here. You cannot hand waive away that distinction. These models are trained like we train animals. They aren’t taught through hard coded rules.
And that is a fundamental limit of the technology. We don’t know how to program a computer how to drive a car. Instead we only know how to make a computer mimic human driving behavior. And that means the computer can ultimately never peform better than an attentive sober human with some increases reaction time and visibility. But if there is any common errors that humans frequently make, then it will be duplicated in the machine.
It’s obvious now that you literally don’t have any idea how programming or machine learning works, thus you think no one else does either. It is absolutely not some “black box” where the magic happens. That attitude (combined with your oddly misplaced condescension) is toxic and honestly kind of offensive. You can’t hand waive away responsibility like this when doing any kind of engineering. That’s like first day ethics-101 shit.