Bloomberg LP Even After $100 Billion, #SelfDrivingCars #Going #Nowhere: #AI << #HI: Bec. . .

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Bloomberg LP Even After $100 Billion, #SelfDrivingCars #Going #Nowhere: #AI << #HI: Because “#Humans are really, really #good #drivers—absurdly good” and “#computers are still really #dumb.” Prominent detractors including industry pioneers are getting louder as the losses get bigger. https://lnkd.in/g9h-Dh4D Six years after companies started offering rides in so called #autonomous #cars and ~ 20 years after first self-driving demos, there are vanishingly few such #vehicles on the #road. And they tend to be confined to a handful of places in the Sun Belt, because they still can’t handle #weather #patterns trickier than Partly Cloudy. State-of-the-art #robot #cars also struggle with #construction, #animals, #traffic #cones, crossing #guards, and what the industry calls “unprotected left turns,” which most of us would call “left turns.” There’s an entire #social #media genre featuring self-driving cars that become #hopelessly #confused. In one example, a #Waymo car gets so flummoxed by a #traffic #cone that it #drives away from the technician sent out to rescue it. In another, an entire #fleet of modified Chevrolet Bolts show up at an intersection and simply stop, blocking traffic with a whiff of Maximum Overdrive. In a third, a #Tesla drives, at very slow speed, straight into the tail of a private jet. This, it seems, is the best the field can do after investors have bet something like $100 billion. While the industry’s biggest names continue to project optimism, the emerging consensus is that the world of #robotaxis isn’t just around the next unprotected left—that we might have to wait decades longer, or an eternity. One of the industry’s favorite #maxims is that #humans are terrible drivers, but it’s not even close to true. Throw a top-of-the-line robot at any difficult driving task, and you’ll be lucky if the #robot lasts a few seconds before crapping out. *“Humans are really, really good drivers—absurdly good,”* Hotz says. Traffic deaths are rare, amounting to one person for every 100 million miles or so driven in the US, according to the National Highway Traffic Safety Administration NHTSA. Even that number makes people seem less capable than they actually are. #Fatal #accidents are largely caused by #reckless #behavior—speeding, drunks, texters, and people who fall asleep at the wheel. As a group, school bus drivers are involved in one fatal crash roughly every 500 million miles. Although most of the #accidents reported by #selfdriving #cars have been minor, the data suggest that #autonomous #cars have been involved in accidents more frequently than #human-driven ones, with rear-end collisions being especially common. “The problem is that there isn’t any test to know if a driverless car is safe to operate... It’s mostly just anecdotal.” Silicon Valley's Next Big Thing™: CEO-CxO Know-Build-Monetize™ Networks: Join The CEO Metaverse™: Global Risk Management Network, LLC: Future of AI-Computer Science-Data Science-Finance Are All Here [wplinkpreview url="https://www.bloomberg.com/news/features/2022-10-06/even-after-100-billion-self-driving-cars-are-going-nowhere?leadSource=uverify%20wall"]

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Global Post AI-Quantum Finance & Trading Networks Pioneer Dr.-Eng.-Prof. Yogesh Malhotra is the “Singular Post AI-Quantum Pioneer” identified by Grok AI with R&D impact recognized among Artificial Intelligence (AI) and Quantitative Finance Nobel Laureates. As MIT-Princeton AI-ML-Cyber-Crypto-Quantum Finance & Trading and FinTech-Crypto Faculty-Industry Expert, and U.S. and Global Hedge Funds Advisory & Venture Capital CEO-CTO Teams Mentor, he has pioneered Silicon Valley-Wall Street-Pentagon Digital CEO-CTO Practices, Technologies, and Networks from world’s first-foremost-largest Global Digital Transformation Networks to New York State IDEA Award recognized Pentagon-USAF MVP Global Post AI-Quantum Networks pioneering Future of Finance and Trading practices as Trillion-Dollar Wall Street Hedge Funds and Investment Banks leader.