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Ster-Kinekor to close Cavendish, Gateway theatres — but it still sees growth

Ster-Kinekor to close Cavendish, Gateway theatres — but it still sees growth

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Olympic champion Lilly King will swim final US meet at IU Natatorium in Indianapolis
Olympic champion Lilly King will swim final US meet at IU Natatorium in Indianapolis

Yahoo

time34 minutes ago

  • Yahoo

Olympic champion Lilly King will swim final US meet at IU Natatorium in Indianapolis

Six-time Olympic swimming medalist Lilly King announced on Instagram that she will retire after this season. King, an Evansville native who won NCAA titles while at Indiana University, said in her announcement that she "accomplished everything I have ever wanted in this sport. I feel fulfilled." Advertisement King's final meet on U.S. soil will be the Toyota National Championships at IU Natatorium. The event will be held in Indianapolis, June 3-7. "I have been racing in the IU Natatorium since I was 10 years old," King said. "From state meets, to NCAAs, Nationals, and anything in between, this pool has been my home. I didn't quite make it 20 years (only 18) of racing in Indy, but this is as close as I'm going to get! I look forward to racing in front of a home crowd one last time." King won three gold medals at the 2016 and 2024 Olympics. She also has two silver medals and a bronze medal from the 2020 games. At the 2024 Olympics in Paris, King helped the women's 4x100-meter medley relay set a world record of 3:49.63 in the final event. In June 2024, King announced that the 2024 U.S. Olympic Swim Trials would be her final time competing in such an event. According to a report from the Indianapolis Business Journal, the 2028 U.S. Swim Trials will return to Lucas Oil Stadium, but King will not compete at the event. This article originally appeared on Indianapolis Star: Lilly King will swim final US meet at IU Natatorium in Indianapolis

Jensen Huang Praised Tesla, Said Every Car Will Need Autonomous Capability—'It's Safer, It's More Convenient, It's 'More Fun To Drive'
Jensen Huang Praised Tesla, Said Every Car Will Need Autonomous Capability—'It's Safer, It's More Convenient, It's 'More Fun To Drive'

Yahoo

time37 minutes ago

  • Yahoo

Jensen Huang Praised Tesla, Said Every Car Will Need Autonomous Capability—'It's Safer, It's More Convenient, It's 'More Fun To Drive'

Elon Musk posted on X on Sunday a segment from a year-old Yahoo Finance interview with Nvidia (NASDAQ:NVDA) CEO Jensen Huang. The conversation touched on many interesting points, but the reason Musk posted it is because of Huang's take on self-driving cars that stood Miss: Hasbro, MGM, and Skechers trust this AI marketing firm — Huang called Tesla (NASDAQ:TSLA) 'far ahead in self-driving cars' and predicted that every automaker will need to follow suit. 'Every single car someday will have to have autonomous capability,' Huang said. 'It's safer, it's more convenient, it's more fun to drive.' He explained that training self-driving systems is evolving. Instead of using labeled images, companies now feed raw video into AI models. 'Now we just put video right into the car and let the car figure it out by itself,' he said. This shift mimics how large language models are trained and signals a move toward AIs that better understand the physical world. Huang praised Tesla's use of end-to-end generative AI in its Full Self-Driving system. 'It learns from watching video, surround video, and it learns about how to drive end-to-end,' he said. 'It's really revolutionary.' Trending: Invest where it hurts — and help millions heal:. Video-based AI requires enormous data and processing power, and Huang made clear that Nvidia is ready. 'The best way to teach these AIs how the physical world behaves is through video—just watching tons and tons and tons of videos,' he said. Beyond Tesla, Huang cited growing interest from other automakers and industries. He said biotech companies are building AI supercomputers to generate molecules for drug discovery, and that even cloud providers are being outpaced by new sectors jumping into generative AI. 'We now have a software and AI model that can understand and learn almost any language—the language of English, of images, of video, of chemicals, of protein, even physics,' Huang said. 'And to be able to generate almost anything.'While Huang praised Tesla's approach, not everyone in the financial world is fully on board with its near-term autonomous driving ambitions. Future Fund LLC Managing Director Gary Black recently voiced concern about investor expectations tied to Tesla's Robotaxi rollout. 'I have warned $TSLA investors numerous times not to get too far ahead of themselves on unsupervised autonomy, including again yesterday,' Black wrote on X on May 22. He expects the term 'supervised autonomy' to become more common as Tesla moves closer to launching its ride-hailing Robotaxi service in Austin, Texas. 'Which is a far cry from unsupervised autonomy that supports many investors' robotaxi valuation models,' he added. CEO Elon Musk has said Tesla plans to launch the Robotaxis by the end of June, starting with over 10 vehicles. He also noted the company would be 'very careful' with the first introduction of unsupervised full self-driving. Musk also dismissed the idea of working with ride-hailing company Uber Technologies (NYSE:UBER), hinting instead at a proprietary Tesla platform where owners could add or remove their vehicles from the fleet. Read Next:Can you guess how many retire with a $5,000,000 nest egg? .UNLOCKED: 5 NEW TRADES EVERY WEEK. Click now to get top trade ideas daily, plus unlimited access to cutting-edge tools and strategies to gain an edge in the markets. Get the latest stock analysis from Benzinga? APPLE (AAPL): Free Stock Analysis Report TESLA (TSLA): Free Stock Analysis Report This article Jensen Huang Praised Tesla, Said Every Car Will Need Autonomous Capability—'It's Safer, It's More Convenient, It's 'More Fun To Drive' originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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