Wynonna Judd has been constantly praised by fans and the media as a symbol of strength, especially for continuing The Judds Final tour without her mother. The music industry was shaken in 2022 when country music legend Naomi Judd passed away at 76 after a long battle with mental illness. The late singer left behind her singing partner and daughter Wynonna and a scheduled final tour date. The mother-daughter duo sang together on several stages and had a successful career together as they won five Grammy Awards and repeatedly topped the charts before they separated in 1991. The Judds were among the most recognizable and foremost faces in country music. One prominent show the mother-daughter duo performed together in is the Austin City Limits(ACL) show in 1997. However, in a twist of fate, Wynonna returned to sing on this show in November 2024, but this time without her mother. While it was an outstanding performance, it was a painful reminder to both Wynonna and fans of the loss they experienced. Wynonna Judd paid tribute to her mother at ACL Wynonna Judd/Instagram Wynonna honored her late mother by singing solo at the show. The 60-year-old sang the song “Give a Little Love,” which was a single from their Greatest hit album. Before she began her performance, she tried to lighten the mood; she joked that her mother was a “little prissy butt” and she mimicked her mother’s signature dance style, swinging her arms from right to left. As she began to sing, it was clear that her performance would leave a lasting impression. The emotion in her powerful voice was palpable, and she poured her heart into each note, displaying skillfulness, a testament to her own musical prowess and talent. Wynonna also sang ten other songs in her set at ACL, which included both her old and new music, like “Rock Bottom” and “All Downhill From Ashland.” Wynonna Judd and Naomi Judd/Instagram Wynonna Judd shared her struggles with grief After leaving her audience in awe, Wynonna shared her struggles with grief since Naomi’s passing. She confessed that her faith had been tested since her mother’s death, and she thought she was going to die of a broken heart. She admitted that she felt overwhelming emotions ranging from anger, sadness, and disbelief, but fans and family supported her through it. Wynonna Judd/Instagram Wynonna also explained how she processed her grief. “Music healed me,” she said. In a previous interview, the singer claimed that music was an “incredible opportunity” for her to heal. While some questioned and criticized her for going on tour so soon after her mother’s passing, she responded that it was the only way she could heal. Next up: Dolly Parton Hopes To Host Kate Middleton And The Royal Family At Dollywood This Thanksgiving The post Wynonna Judd Honors Her Mother Naomi Judd with Heart-felt Performance At Austin City Limits appeared first on DoYouRemember? - The Home of Nostalgia. Author, Peace A

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Artificial Intelligence (AI) is rapidly advancing and reshaping industries across the globe. However, behind its impressive capabilities lies an interesting issue: the significant strain it places on the power grid. As AI systems, huge language models, and deep learning algorithms demand enormous computing power, the electricity required to support them is increasing sharply. This demand drives energy prices and puts pressure on power infrastructure, with costs ultimately trickling down to ordinary consumers and businesses.   Rising Energy Demands of AI Data centers, the backbone of AI operations, are experiencing unprecedented growth. A single large-scale data center can consume as much electricity as a small city. To power and cool the thousands of processors working around the clock to train and run AI models, data centers are becoming one of the most energy-intensive parts of the tech sector. According to the International Energy Agency (IEA), data centers worldwide already consume about 1% of global electricity. With the rapid adoption of AI, this number is expected to rise significantly. AI models like OpenAI’s GPT-3, Google’s BERT, and other large-scale language models require vast amounts of power to train. Training a single, large-scale AI model can consume more than 1,000 megawatt-hours of electricity, equivalent to powering hundreds of homes for a year. This surge in energy demand has led many data centers to expand their operations, further straining the power grid and increasing electricity demand.   “According to the International Energy Agency (IEA), data centers worldwide already consume about 1% of global electricity.” Examples of Electricity Pricing Increases The rising energy demand from AI and data centers is impacting energy prices across the United States. For example, electricity prices for consumers in the U.S. increased by an average of 14% in 2022, the highest year-over-year increase in over a decade, according to the U.S. Energy Information Administration (EIA). While this increase can’t be attributed solely to AI, the cumulative effect of heightened demand from data centers, especially in states like Virginia and Texas where data center growth is most concentrated, has added pressure on regional grids, contributing to price hikes. In California, where both AI operations and data centers are on the rise, residents have felt the effects of increased electricity demand. Between 2021 and 2023, residents and businesses’ electricity rates rose nearly 25%. Utilities cite increased demand, grid maintenance costs, and climate-related expenses as contributing factors. However, data centers remain a significant factor. Northern Virginia, home to the world’s largest concentration of data centers, has experienced localized spikes in electricity rates due to the heavy energy draw of these facilities.   The Path Forward: Efficiency and Renewable Energy Addressing the power needs of AI without overburdening the grid or further rising costs will require substantial investment in infrastructure and energy efficiency. Tech companies are increasingly aware of these challenges. They are investing in renewable energy sources to offset their carbon footprint and ease their reliance on the grid. For instance, Google has committed to running all its data centers on carbon-free energy by 2030, and Microsoft has set similar sustainability goals. However, it’s not likely that renewable energy integration alone will solve the problem of increased demand AI placed on the grid. Energy-efficient hardware, improved cooling methods, and better distribution computing strategies will be crucial to ensuring that the rise of AI does not continue to drive up electricity costs for everyday consumers. Without these advancements, the expanding AI sector will continue to force electricity prices upward, leaving ordinary folks to bear the burden of higher energy bills.   The post AI’s Insatiable Demand For Electricity Is Taxing the Power Grid And Raising Power Bills For Consumers And Businesses appeared first on Off The Grid News.

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