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Russian and Chinese navies practice destroying ‘enemy submarine', days after Trump move
Russian and Chinese navies practice destroying ‘enemy submarine', days after Trump move

Straits Times

time5 days ago

  • Politics
  • Straits Times

Russian and Chinese navies practice destroying ‘enemy submarine', days after Trump move

Sign up now: Get ST's newsletters delivered to your inbox The Chinese Navy submarine rescue vessel Xihu takes part in joint search and rescue drills with the Russian Navy. MOSCOW - The Russian and Chinese navies have practiced hunting and destroying an enemy submarine in the Sea of Japan, also known as the East Sea, Russia's defence ministry said on Aug 6, days after US President Donald Trump said he had moved two US nuclear subs closer to Russia . Russia said the exercise involved Chinese Y-8 anti-submarine aircraft and Il-38 planes from Russia's Pacific Fleet, as well as helicopter crews. "As a result of effective joint actions, the 'enemy' submarine was promptly detected and mock-destroyed," the defence ministry said. "After practicing anti-submarine tasks, the crews of the Russian and Chinese ships thanked each other for their fruitful work." Mr Trump said his submarine order on Aug 1 was made in response to what he called "highly provocative" remarks by former Russian president Dmitry Medvedev about the risk of war between the nuclear-armed adversaries. The Kremlin this week played down the significance of Mr Trump's announcement, saying US submarines are on constant combat duty anyway, and said that "everyone should be very, very careful with nuclear rhetoric". The episode came at a delicate moment, with Mr Trump threatening to impose new sanctions on Russia and buyers of its oil, including India and China, unless President Vladimir Putin agrees by Aug 8 to end the 3-1/2-year war in Ukraine. The anti-submarine exercise was part of a wider series of Russian-Chinese naval drills over the past week. The two countries, which signed a "no-limits" strategic partnership shortly before Russia went to war in Ukraine in 2022, conduct regular military exercises to rehearse coordination between their armed forces and send a deterrent signal to adversaries. REUTERS

Pony.ai's 1,000 Robotaxis Deal Could Redefine Urban Transport
Pony.ai's 1,000 Robotaxis Deal Could Redefine Urban Transport

Yahoo

time02-06-2025

  • Business
  • Yahoo

Pony.ai's 1,000 Robotaxis Deal Could Redefine Urban Transport

(NASDAQ:PONY) just took a major step in the driverless racesigning a multi-year partnership with Shenzhen's largest taxi operator, Xihu Group, to deploy over 1,000 Gen 7 robotaxis across the city. This move could accelerate the commercial rollout of autonomous vehicles in one of China's busiest urban markets. already authorized to operate fully driverless robotaxis in Shenzhen's city center, brings deep AI and software capabilities, while Xihu contributes decades of fleet experience, regulatory muscle, and a strong servicing network. Warning! GuruFocus has detected 1 Warning Sign with PONY. The two companies are rolling out what they describe as an asset-light + AI-empowered model. Xihu will take charge of managing the physical fleetvehicles, safety, maintenancewhile doubles down on AI innovation and scalable dispatch systems. This separation of roles could allow each party to stay lean and efficient, opening up faster, lower-cost growth in a notoriously complex market. The Gen 7 robotaxis, designed for high-traffic urban environments with tough layouts like tunnels and irregular intersections, are expected to form the backbone of the rollout. While the companies haven't set a hard timeline, the deal signals that fully autonomous vehicles could be inching closer to mainstream use in China's tier-one cities. With broader collaboration on the tablepotentially involving automakers and other mobility is positioning itself to scale faster and smarter. For investors, this could be an early look at how autonomous platforms are starting to align with real-world infrastructure and economics, inching beyond pilot zones and into daily mobility. This article first appeared on GuruFocus.

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