
Google Home speaker debacle worsens with more failures — lawsuit imminent
The problems appeared to be related to Google Assistant, the current voice assistant that Google is going to replace with Gemini AI. The assistant has already been losing features ahead of its successor.
Aniah Kattukaran, the Chief Product Officer for Google Home Nest, admitted to problems on X. "We hear you loud and clear and are committed to getting this right — and making sure we have a long term solution that provides better reliability and capability," he wrote.
He added that the company is working on major improvements and would have more to share in the fall. Unfortunately, the bugs are occurring now and people are not interested in waiting.
Despite acknowledging the problems, users are unhappy and Android Police found a Reddit thread on the Google Home subreddit with people reporting that voice controls for smart lights were totally out of commission.
Usually device subreddits are filled with questions about products or attempts to solve problems but a glance through the Google Home subreddit shows a number of posts complaining about voice controls.
It's so bad that an official Google moderator for the subreddit popped into that post twice in response to complaints.
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"We're aware of an issue with using voice commands to control some lights. We'll share an update as soon as possible, thanks for your patience," they wrote.
Another response from June 28 claimed that a fix for the issue was being rolled out, though it was tempered with "some users might still be experiencing issues."
One frustrated user commented, "You're not adding features..so how do you manage to screw up the old ones that worked?"
Not something you want to see when Google has already promised to fix the problem.
These complaints have gotten so so bad that a potential lawsuit may be in the works.
The law firm Kaplan Gore announced (via TechRadar) that it is looking into a possible class action suit against Google for "failing to remedy increasing problems with its Google Home service."
With so many complaints rolling in, Kaplan Gore says that "rather than fixing these issues, Google is allowing the issues with Google Home to increase in scale and frequency nationwide."
The law firm is asking affected customers to fill out a form where they can explain what problems they are having with Google Home. That information would help the firm decide if it has grounds for pursuing a lawsuit.
Unfortunately, it looks like Google's Home problems may get worse before they get better.
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Time Business News
22 minutes ago
- Time Business News
From Virginia to Wyoming: Mapping America's Top AI Data Center Builds and Their Power Strategies
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Home to tech giants like Amazon, Google, and Microsoft, this region hosts facilities with a combined capacity exceeding 4,000 megawatts (MW). The power mix here is evolving—historically reliant on coal, Virginia's grid is transitioning toward a coal-free future, with solar and nuclear energy gaining traction. Dominion Energy, the primary utility, is investing in 2,800 MW of solar and 400 MW of battery storage by 2026, reducing the carbon footprint. However, the region faces grid strain, with interconnection queues stretching two years, prompting some operators to explore onsite solar and microgrids. Texas is emerging as a hyperscale data center powerhouse, with projects like the 1,200 MW campus in Abilene by Lancium and CoreWeave's $6 billion Lancaster facility. These centers, designed to handle AI's intensive workloads, are projected to consume gigawatts of power, driven by natural gas and renewables. 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Silicon Valley's data centers, including those by Nvidia and Oracle, are upgrading to handle AI, with capacities reaching 800 MW. The state's grid relies on 40% renewables (sola By Kevin Gallagher, President of Panurgy The artificial intelligence revolution is reshaping America's technological landscape, driving an unprecedented boom in data center construction. Projections suggest that by 2028, AI data centers could account for 12% of U.S. electricity consumption, a staggering 580 billion kilowatt-hours annually, equivalent to powering 20 Chicagos. This article maps the top 10 AI data center builds across the United States, from Virginia to Wyoming, and explores the innovative power strategies fueling their growth. As businesses increasingly adopt AI, understanding these developments is critical, and services like IT Consulting in New Jersey are poised to help optimize IT infrastructures to meet this new era's challenges. Northern Virginia, often dubbed 'Data Center Alley,' leads the charge with over 35 million square feet of data center space. Home to tech giants like Amazon, Google, and Microsoft, this region hosts facilities with a combined capacity exceeding 4,000 megawatts (MW). The power mix here is evolving—historically reliant on coal, Virginia's grid is transitioning toward a coal-free future, with solar and nuclear energy gaining traction. Dominion Energy, the primary utility, is investing in 2,800 MW of solar and 400 MW of battery storage by 2026, reducing the carbon footprint. However, the region faces grid strain, with interconnection queues stretching two years, prompting some operators to explore onsite solar and microgrids. Texas is emerging as a hyperscale data center powerhouse, with projects like the 1,200 MW campus in Abilene by Lancium and CoreWeave's $6 billion Lancaster facility. These centers, designed to handle AI's intensive workloads, are projected to consume gigawatts of power, driven by natural gas and renewables. The state's abundant wind energy—Texas leads the nation with over 40,000 MW of installed capacity—pairs with natural gas to ensure 24/7 reliability. ERCOT, the state's grid operator, is adding 10,000 MW of new capacity by 2030, including solar farms. Yet, water usage for cooling remains a concern, with facilities consuming millions of gallons daily. Arizona's Phoenix area is seeing rapid data center growth, with over 160 new facilities built since 2022, contributing to 7.4% of the state's energy use. Companies like Meta and Apple are investing in campuses with capacities up to 500 MW each. Power comes from a mix of solar (Arizona boasts 5,000 MW of installed solar) and natural gas, with utilities like Arizona Public Service planning 1,000 MW of new generation by 2025. The arid climate poses water challenges, pushing adoption of air-cooling and direct liquid cooling technologies, which cut water use by 30%. Atlanta added 523 MW of data center capacity last year, with Google and Microsoft expanding their footprints. The region's power comes from a diverse grid, including hydroelectric from the Chattahoochee River and natural gas, with Georgia Power targeting 2,000 MW of solar by 2027. AI's demand here is expected to double electricity consumption by 2030, straining local grids. Innovative cooling solutions, like immersion cooling, are being tested to manage heat from high-density racks. Chicago is quietly becoming a data center hub, with over 1,000 MW of new capacity under construction by firms like Equinix. The city leverages nuclear power, which accounts for 20% of Illinois' grid, alongside wind from the Midwest. ComEd is adding 1,500 MW of renewable energy by 2026 to meet demand. The region's cold winters reduce cooling costs, but grid reliability remains a focus. Silicon Valley's data centers, including those by Nvidia and Oracle, are upgrading to handle AI, with capacities reaching 800 MW. The state's grid relies on 40% renewables (solar and wind) and nuclear from Diablo Canyon, set to remain operational until 2030. PG&E is investing $10 billion to bolster transmission, addressing a 3,000 MW gap. Water-efficient cooling is critical in this drought-prone area. Ohio's data centers, such as the 4.6 GW Homer City conversion, are repurposing old coal plants to power AI using natural gas. This 3,200-acre campus by GE Vernova will support 10 billion AI queries annually. The state aims for 1,000 MW of solar by 2025. Florida's Orlando region is adding 600 MW of capacity, with Microsoft and AWS leading. Solar power, with 2,000 MW installed, dominates, supplemented by natural gas. FPL plans 3,000 MW of new solar by 2028. Hurricane resilience is key, with elevated designs. Wyoming's 1.2 GW hydrogen-powered campus by Microsoft uses clean hydrogen for zero-emission power, a first in the U.S. This aligns with the state's 30% renewable goal by 2030. The remote location reduces grid strain but requires onsite generation. Colorado's Denver area is building 400 MW of capacity, powered by wind (3,000 MW installed) and solar. Xcel Energy targets 80% clean energy by 2030. High altitudes lower cooling needs. These projects highlight a shift toward sustainable power, from nuclear and hydrogen to renewables, addressing AI's 165% demand increase by 2030. MSPs play a vital role in helping businesses adapt by offering tailored IT solutions to enhance power and efficiency. The future of AI hinges on this balance—let's build it responsibly. (Word count: 962) By Kevin Gallagher, President of Panurgy The artificial intelligence revolution is reshaping America's technological landscape, driving an unprecedented boom in data center construction. Projections suggest that by 2028, AI data centers could account for 12% of U.S. electricity consumption, a staggering 580 billion kilowatt-hours annually, equivalent to powering 20 Chicagos. This article maps the top 10 AI data center builds across the United States, from Virginia to Wyoming, and explores the innovative power strategies fueling their growth. As businesses increasingly adopt AI, understanding these developments is critical, and services like IT Consulting in New Jersey are poised to help optimize IT infrastructures to meet this new era's challenges. Northern Virginia, often dubbed 'Data Center Alley,' leads the charge with over 35 million square feet of data center space. Home to tech giants like Amazon, Google, and Microsoft, this region hosts facilities with a combined capacity exceeding 4,000 megawatts (MW). The power mix here is evolving—historically reliant on coal, Virginia's grid is transitioning toward a coal-free future, with solar and nuclear energy gaining traction. Dominion Energy, the primary utility, is investing in 2,800 MW of solar and 400 MW of battery storage by 2026, reducing the carbon footprint. However, the region faces grid strain, with interconnection queues stretching two years, prompting some operators to explore onsite solar and microgrids. Texas is emerging as a hyperscale data center powerhouse, with projects like the 1,200 MW campus in Abilene by Lancium and CoreWeave's $6 billion Lancaster facility. These centers, designed to handle AI's intensive workloads, are projected to consume gigawatts of power, driven by natural gas and renewables. The state's abundant wind energy—Texas leads the nation with over 40,000 MW of installed capacity—pairs with natural gas to ensure 24/7 reliability. ERCOT, the state's grid operator, is adding 10,000 MW of new capacity by 2030, including solar farms. Yet, water usage for cooling remains a concern, with facilities consuming millions of gallons daily. Arizona's Phoenix area is seeing rapid data center growth, with over 160 new facilities built since 2022, contributing to 7.4% of the state's energy use. Companies like Meta and Apple are investing in campuses with capacities up to 500 MW each. Power comes from a mix of solar (Arizona boasts 5,000 MW of installed solar) and natural gas, with utilities like Arizona Public Service planning 1,000 MW of new generation by 2025. The arid climate poses water challenges, pushing the adoption of air-cooling and direct liquid cooling technologies, which cut water use by 30%. Atlanta added 523 MW of data center capacity last year, with Google and Microsoft expanding their footprints. The region's power comes from a diverse grid, including hydroelectric from the Chattahoochee River and natural gas, with Georgia Power targeting 2,000 MW of solar by 2027. AI's demand here is expected to double electricity consumption by 2030, straining local grids. Innovative cooling solutions, like immersion cooling, are being tested to manage heat from high-density racks. Chicago is quietly becoming a data center hub, with over 1,000 MW of new capacity under construction by firms like Equinix. The city leverages nuclear power, which accounts for 20% of Illinois' grid, alongside wind from the Midwest. ComEd is adding 1,500 MW of renewable energy by 2026 to meet demand. The region's cold winters reduce cooling costs, but grid reliability remains a focus. Silicon Valley's data centers, including those by Nvidia and Oracle, are upgrading to handle AI, with capacities reaching 800 MW. The state's grid relies on 40% renewables (solar and wind) and nuclear from Diablo Canyon, set to remain operational until 2030. PG&E is investing $10 billion to bolster transmission, addressing a 3,000 MW gap. Water-efficient cooling is critical in this drought-prone area. Ohio's data centers, like the 4.6 GW Homer City conversion, are repurposing old coal plants for natural gas to power AI. This 3,200-acre campus by GE Vernova will support 10 billion AI queries annually. The state aims for 1,000 MW of solar by 2025. Florida's Orlando region is adding 600 MW of capacity, with Microsoft and AWS leading. Solar power, with 2,000 MW installed, dominates, supplemented by natural gas. FPL plans 3,000 MW of new solar by 2028. Hurricane resilience is key, with elevated designs. Wyoming's 1.2 GW hydrogen-powered campus by Microsoft uses clean hydrogen for zero-emission power, a first in the U.S. This aligns with the state's 30% renewable goal by 2030. The remote location reduces grid strain but requires onsite generation. Colorado's Denver area is building 400 MW of capacity, powered by wind (3,000 MW installed) and solar. Xcel Energy targets 80% clean energy by 2030. High altitudes lower cooling needs. These projects highlight a shift toward sustainable power, from nuclear and hydrogen to renewables, addressing AI's 165% demand increase by 2030. MSPs play a vital role in helping businesses adapt, offering tailored IT solutions to manage power and efficiency. The future of AI hinges on this balance—let's build it responsibly. (Word count: 962) r and wind) and nuclear from Diablo Canyon, set to remain operational until 2030. PG&E is investing $10 billion to bolster transmission, addressing a 3,000 MW gap. Water-efficient cooling is critical in this drought-prone area. Ohio's data centers, such as the 4.6 GW Homer City conversion, are repurposing old coal plants to power AI using natural gas. This 3,200-acre campus by GE Vernova will support 10 billion AI queries annually. The state aims for 1,000 MW of solar by 2025. Florida's Orlando region is adding 600 MW of capacity, with Microsoft and AWS leading. Solar power, with 2,000 MW installed, dominates, supplemented by natural gas. FPL plans 3,000 MW of new solar by 2028. Hurricane resilience is key, with elevated designs. Wyoming's 1.2 GW hydrogen-powered campus by Microsoft uses clean hydrogen for zero-emission power, a first in the U.S. This aligns with the state's 30% renewable goal by 2030. The remote location reduces grid strain but requires onsite generation. Colorado's Denver area is building 400 MW of capacity, powered by wind (3,000 MW installed) and solar. Xcel Energy targets 80% clean energy by 2030. High altitudes lower cooling needs. These projects highlight a shift toward sustainable power, from nuclear and hydrogen to renewables, addressing AI's 165% demand increase by 2030. MSPs play a vital role in helping businesses adapt by offering tailored IT solutions to enhance power and efficiency. The future of AI hinges on this balance—let's build it responsibly. TIME BUSINESS NEWS

Yahoo
2 hours ago
- Yahoo
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Business Insider
2 hours ago
- Business Insider
Google Stock (GOOGL) Drops as it Signs AI Code ‘Chilling' European Growth
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