Search results for tag #selfdriving
“The head of the International Monetary Fund (#IMF) recently predicted that 60% of #jobs in advanced #economies will be #eliminated or transformed by artificial intelligence, “like a tsunami hitting the #LabourMarket”.
In #SanFrancisco, you can already see the early signs, as Uber #drivers compete with #SelfDriving Waymos, and #baristas are replaced by #RoboticCoffee bars.
Professional business services that support the #tech industry have also been negatively affected by the #layoffs. The *pressure to grind* in the tech world could be an early signal – a harbinger for what many other industries will feel soon.”
#WhiteCollar / #ZeroHourWork / #AI / #startups <https://www.theguardian.com/technology/ng-interactive/2026/feb/17/ai-startups-work-culture-san-francisco>
Is a career in long-haul trucking soon to be a thing of the past? Aurora Innovations’ self-driving trucks can now travel nonstop on a 1,000-mile route between Fort Worth and Phoenix — exceeding what a human driver can legally accomplish. Read more from @Techcrunch:
#Tech #AuroraInnovations #Transportation #SelfDriving #Technology
@mathewi 4/
I’m going to delay elaborating my other concerns about the maturity of #SelfDriving #autonomous vehicles. For now, please consider the following:
1. #AI in general, self-driving cars in particular, are not people. These technology systems do not have our human-lived experiences, they do not think like us, even if you believe that thinking is computational. With a few exceptions, such systems have no common sense ability to reason about the world. They don’t understand human behavior the way we do.
2. They will not make the same mistakes that humans make while driving. That is not only a requirement, it follows from 1. Instead, they will make their own mistakes. We are already seeing plenty of these. Sure, engineers will grind out most of these, but not all.
3. The first two points mean that the behavior of self-driving cars will be difficult to predict in all but the most common vanilla driving situations. People complain about how rigid the current vehicles are at following the law. What? Now you want them to break the law when it is expedient?
4. There are a near infinite number of “edge cases” and those are when safe driving is the most difficult — exactly when we want self-driving vehicles to excel. There are too many to test. The complexity of the real-world, specifically edge cases, cannot be simulated in a laboratory. A decade or more experience on the road is required.
5. Cars are increasingly connected and computerized, and that makes them a new #security threat. Any modern car today can be hacked and remotely controlled. AI systems add multiple new attack vectors. Yes, companies are working on security, but so are the bad guys. #Infosec people will tell you their world is hand-to-hand combat. The more such cars are on the road, the greater the opportunity and attraction for mischief (or worse).
The big question is when will we, as a society, feel safe and convinced by the benefits of self-driving cars? That question is a trap, because most people don’t know the details. It is already happening.
Speaking as an expert and a grandfather, I will not be putting my grandchildren in the back seat of a self-driving car any time soon.
Waymo driverless taxi takes passengers into apparent police standoff - ABC News https://abcnews.go.com/US/waymo-driverless-taxi-passengers-police-standoff-los-angeles/story?id=128041525 #Waymo #SelfDriving #cars #PoliceStandoff
Self-driving vehicles by Waymo have violated traffic safety laws in Austin, Texas. Coming soon to a city near you!