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American Focus > Blog > Entertainment > Rylee Arnold Reunites With Scott Hoying Onstage After DWTS Elimination
Entertainment

Rylee Arnold Reunites With Scott Hoying Onstage After DWTS Elimination

Last updated: November 9, 2025 5:55 pm
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Rylee Arnold Reunites With Scott Hoying Onstage After DWTS Elimination
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Scott Hoying and Rylee Arnold’s partnership on Dancing With the Stars may have come to an end, but their friendship continues to shine. The duo, who were eliminated during season 34 of the popular dance competition, recently reunited on stage during one of Hoying’s Pentatonix concerts.

The pair recreated part of their TikTok Night routine to Jennie’s “Like Jennie,” which originally earned them a combined score of 22 out of 30 from judges Carrie Ann Inaba, Derek Hough, and Bruno Tonioli. The crowd was thrilled to see them back together, and Hoying and Arnold shared a sweet embrace after their performance.

Arnold took to her Instagram Story to express her excitement about reuniting with Hoying on stage. She shared a video of him introducing her to the crowd, showcasing their strong bond both on and off the dance floor.

Their journey on DWTS came to a bittersweet end in October, following a contemporary routine to “The Wizard and I” that earned them a score of 28 out of 40. Reflecting on their elimination, Hoying admitted to getting “really flustered” during the performance, attributing it to a “weird freak accident” that caused him to forget some of the choreography.

Despite their early exit from the competition, Hoying and Arnold remain grateful for the experience and the friendship they have forged. Arnold praised Hoying for his patience, work ethic, and kindness throughout their time together, highlighting the growth they both experienced during their partnership.

Looking ahead, Hoying shared that he would be focusing on the upcoming Pentatonix tour, which he had been juggling alongside DWTS. While he expressed disappointment at not being able to continue dancing with Arnold, he saw the silver lining in being able to dedicate all his energy to the tour.

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Arnold, on the other hand, expressed her gratitude for the memories they created during their time on the show, emphasizing the strong bond they share. She described Hoying as one of the most genuine, kind, and caring people she knows, and expressed her excitement for the future adventures they will embark on together.

As fans eagerly await the next chapter in their journey, they can catch up on all the DWTS action airing on ABC and Disney+ on Tuesdays at 8 p.m. ET. And for those looking to test their DWTS knowledge, they can join the Bracketology DWTS fantasy league to predict which pairs will make it to the finale for season 34 and compete against other fans and Us editors for a chance to win prizes. Join the league for free today and showcase your love for the dance competition! The world of technology is constantly evolving, with new innovations and advancements being made every day. One area that has seen significant growth in recent years is artificial intelligence (AI). AI refers to the simulation of human intelligence processes by machines, particularly computer systems. It involves the use of algorithms and data to enable machines to perform tasks that would typically require human intelligence, such as learning, problem-solving, and decision-making.

One of the most exciting developments in AI is the concept of deep learning. Deep learning is a subset of machine learning, which in turn is a subset of AI. It involves the use of neural networks, which are algorithms inspired by the structure and function of the human brain. These neural networks are capable of learning from large amounts of data and can make predictions and decisions based on that data.

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One of the key advantages of deep learning is its ability to handle unstructured data, such as images, videos, and text. This has led to significant advancements in areas such as computer vision, natural language processing, and speech recognition. For example, deep learning algorithms are now able to accurately identify objects in images, translate languages in real-time, and recognize speech with high accuracy.

Another area where deep learning is making a big impact is healthcare. Researchers are using deep learning algorithms to analyze medical images, such as X-rays and MRIs, to detect diseases like cancer at an early stage. This can help doctors make more accurate diagnoses and provide better treatment options for patients. Deep learning is also being used to develop personalized treatment plans based on a patient’s genetic makeup and medical history.

In the field of autonomous vehicles, deep learning is playing a crucial role in enabling cars to navigate and make decisions on the road. By analyzing data from sensors and cameras in real-time, deep learning algorithms can detect obstacles, pedestrians, and other vehicles, and make split-second decisions to avoid accidents. This technology has the potential to revolutionize the transportation industry and make roads safer for everyone.

Despite its many benefits, deep learning also poses challenges, such as the need for large amounts of labeled data and computational power. Researchers are constantly working to improve the efficiency and accuracy of deep learning algorithms to overcome these challenges and unlock the full potential of AI.

Overall, deep learning is a powerful technology that is driving innovation and transforming industries across the globe. As researchers continue to push the boundaries of what is possible with AI, we can expect to see even more exciting developments in the near future. The possibilities are endless, and the future of deep learning is looking brighter than ever.

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