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Los Angeles Surpasses S.F. in Public Transit Ridership

Plus, a new study identifies stumbling blocks to AI adoption, a dam in China will be Earth's largest 3D-printed structure built by automation and theft of cryptocurrency skyrockets.

LA Metro train at a stop
The age-old battle between Northern and Southern California has taken a new turn: While Los Angeles is historically known for its traffic-packed freeways and car-centric culture, for the first time it has managed to surpass San Francisco in public transit ridership. The Mercury News found that between 2019 and 2021, the Bay Area lost more riders than Los Angeles did — 283 million versus 157 million — and by June 2022, L.A. had regained 71 percent of its ridership compared to S.F.’s 55 percent.
Source: Fast Company

A new Gartner study identified a major stumbling block to organizations adopting AI for automation: getting projects out of the pilot phase. While nearly three-quarters — 72 percent — of those surveyed said they have the talent on board to make automation work, only 54 percent of AI pilots actually make it to production. Gartner analysts say part of the reason is discipline and ensuring that AI endeavors are in line with business value. Plus, 40 percent of surveyed organizations report having thousands of AI models in use, which leads to complexity in tracking ROI.
Source: Venture Beat

The 2022 uptick in cyber attacks to steal cryptocurrency has so far been significant: Between January and March, hackers nabbed $1.3 billion in crypto monies, 97 percent of which came from decentralized finance (DeFi) platforms, according to the FBI. That’s up from 72 percent in 2021 and 30 percent in 2020. The FBI recommends taking caution before putting money into an open source DeFi platform.
Source: Engadget

If all goes according to plan, a dam on China’s Yellow River in Qinghai Province will be the largest 3D-printed structure made by artificial intelligence on Earth. Research from Tsinghua University in Beijing has set plans to build the 594-foot-tall Yangqu dam using AI, 3D printing and robots — no human labor required. The dam would produce

5 billion kilowatt hours of electricity annually, enough to power 50 million homes.
Source: Ars Technica
Lauren Harrison is the managing editor for Government Technology magazine. She has a degree in English from the University of California, Berkeley, and 15 years’ experience in book and magazine publishing.