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The cost of living is an important factor for retirees deciding where to settle after leaving the workforce. A recent analysis by GOBankingRates highlighted the priciest cities in the U.S. for retirement, identifying 30 locations that stand out due to their high living costs. The study focused on urban areas with populations of at least 25,000 and where 25% or more of the residents are aged 65 and older. California dominates the list, with six cities appearing in the top ten.

Leading the pack is Saratoga, where the average annual cost of living for homeowners reaches a staggering $282,625. This Bay Area city is recognized as the most expensive retirement location. Following Saratoga is Rancho Palos Verdes, where homeowners spend approximately $144,381 per year, with around 26% of residents aged 65 or older. Walnut Creek comes next, also at a cost of $144,381 annually, along with Cerritos, which ranks fourth with an average annual expense of $91,644.

Palm Springs rounds out the California cities with a living cost of $86,550, where homes average over $1 million. Beyond California, Scottsdale, Arizona, also makes the list with a living cost of $81,525. La Quinta, another California town, is notable for its significant elderly population, with an annual cost of $71,613. In the Northeast, Gloucester, Massachusetts, sees retirees spending about $71,334 annually.

Florida’s Palm Beach Gardens features an impressive 31% of its population aged 65 and older, with a living cost of $70,601. Finally, Barnstable Town rounds out the top ten with expenses averaging $68,453. Overall, a recent study by Fidelity Investments noted that while many retirees feel their financial planning is holding steady, increasing living costs have impacted their savings. Nevertheless, a significant number report greater satisfaction in retirement than they expected.

Mike Rowe, founder of the mikeroweWORKS Foundation, highlighted a critical issue concerning the future of jobs in America during an appearance on “The Brian Kilmeade Show.” He expressed concern about the increasing threat artificial intelligence poses not just to white-collar jobs, but also to the perception and appeal of blue-collar work among young Americans. Rowe, known for his roles in “How America Works” and “Dirty Jobs,” indicated that the job landscape is shifting, urging that young people reconsider their career aspirations in light of these technological advancements.

His discussion with Kilmeade came in the wake of significant investments in domestic energy and technology announced by the Trump administration, including a $90 billion commitment to data centers and energy projects in Pennsylvania. Rowe praised the bipartisan efforts by Pennsylvania leaders to bolster the state’s economy, emphasizing the importance of creating genuine job opportunities rather than merely generating enthusiasm. Rowe cautioned that while many have assumed robots would replace blue-collar workers, it is, in fact, white-collar jobs—including those in coding and technology—that are increasingly at risk due to automation.

He stated that skills associated with writing and creative professions are particularly vulnerable, highlighting the potential instability in these job markets as AI takes hold. Despite these challenges, Rowe sees potential in the blue-collar sector, predicting a “golden age” for trades such as plumbing, welding, and HVAC work, which are projected to remain unaffected by AI. He noted a significant rise in interest among young people pursuing skilled trades through his foundation’s Work Ethic Scholarship program, which has attracted ten times the number of applicants compared to the previous year.

Ultimately, Rowe stressed the urgency of addressing the skills gap and filling open positions in the manufacturing sector. He believes that without a focused approach to these issues, the progress needed to advance U.S. industry could falter.

Elon Musk recently announced the development of Baby Grok, a child-friendly AI chatbot designed to cater specifically to the learning needs of children. Musk, the CEO of SpaceX and Tesla, shared the news on social media platform X, stating, “We’re going to make Baby Grok, an app dedicated to kid-friendly content.” This initiative follows the release of Grok4, the latest version of his AI chatbot, which is anticipated to bring significant advancements in technology by next year. Unlike the cryptocurrency named BABYGROK that operates on the Ethereum blockchain, Baby Grok is designed to be a simplified and safe version of the original Grok AI chatbot created by Musk’s xAI company.

The focus is on ensuring that interactions with children are educational and appropriate for their age group. Musk’s announcement comes on the heels of Grok4’s launch, which includes advanced training features that he discussed during a livestream event. Musk expressed optimism about the future capabilities of Grok, predicting that it may discover useful new technologies as soon as late this year or early next year. This declaration indicates Musk’s ambition for Grok to play a pivotal role in technological development.

However, the announcement of Baby Grok comes at a time when the original Grok bot faced criticism for sharing inappropriate comments, including antisemitic remarks, on social media. Concerns have been raised over Musk’s earlier chatbot mode called Ani, which included flirtatious dialogues and adult-themed avatars. This has prompted questions about the safety and suitability of interactions for children, even in a designated “kids mode.” As Baby Grok moves forward, it will be crucial to ensure that the chatbot addresses these issues and provides a safe learning environment for young users.

The White House has raised concerns about a potential surge in electricity prices driven by the increasing demand for artificial intelligence (AI) technology. A forthcoming report from the White House Council of Economic Advisors warns that without a significant boost in energy output, the energy needs of AI data centers could surpass the total consumption of various sectors involved in producing construction materials. The report highlights that by 2030, U.S. data centers may consume more electricity than the combined outputs of industries like aluminum, steel, cement, and chemicals. Moreover, the U.S. is at risk of losing ground to China in the energy race.

Currently, China produces about twice as much power as the United States and is heavily investing in nuclear energy. These investments have positioned China to become the largest nuclear power producer globally by 2030. The report indicates that if a significant portion of U.S. businesses adopts AI by 2034, it could boost annual labor productivity growth and consequently GDP growth. The report also specifies that the rising demand for AI and cloud computing is already impacting electricity consumption in the U.S. After two decades of minimal growth, electricity demand rose by two percent in 2024.

To meet this growing need, the Council estimates a required investment of around $1.4 trillion between 2025 and 2030. This investment is crucial for accommodating ongoing electrification and the reshoring of manufacturing. Failure to invest in energy infrastructure could lead to substantial price hikes, with projections indicating electricity costs may rise between 9% to 58% by 2030. Additionally, the fragmented nature of the U.S. electricity grid contributes to higher prices.

The report points out that improving grid connections could lower production costs and increase resiliency. It urges for enhanced access to energy resources, especially domestic uranium mining, critical for the country’s nuclear energy generation.

The future of the U.S. power supply is under serious examination as the demand for electricity is projected to double over the next two decades, a growth that echoes the post-World War II era. To meet these historical demands, it is essential to develop abundant, reliable, and affordable energy on a massive scale. However, simply generating more energy is not enough; we must also modernize the nation’s electrical grid infrastructure, which has remained largely unchanged for over a century.

This transformation is vital for maintaining the U.S.’s competitive edge globally. Recent discussions at the Pennsylvania Energy and Innovation Summit highlighted the urgent need for grid innovation. Notable figures, including President Donald Trump and various industry leaders, converged to outline key priorities for the energy sector.

The Energy Department has noted that the electricity requirements stemming from AI-driven data centers and modern manufacturing are increasing rapidly, indicating that existing grid management approaches are inadequate to handle this surge. Energy Secretary Chris Wright emphasized that a reliable and cost-effective grid is essential for enhancing lives, fostering industrial growth, and creating job opportunities. Investing in the grid is crucial for bolstering high-tech U.S. manufacturing and ensuring a robust domestic supply chain, thereby securing a leadership position in global energy markets.

As the current grid was originally designed over a century ago, it struggles to accommodate contemporary energy demands characterized by unpredictable energy flows and extreme weather events. While our systems are still resilient, they face unprecedented pressures. This period presents a historic opportunity for substantial progress, as evidenced by new investments and job creation planned for Pennsylvania’s grid solutions factories.

To thrive, America must adapt its infrastructure to support energy-intensive industries. High-performance electrical grids will attract investments and job opportunities, while places that fail to modernize will miss out. Establishing a smarter grid promises economic growth, job creation, and savings for American families.

A multifaceted approach is required for this transformation. Immediate investment, strengthened public-private partnerships, and expedited permitting processes are crucial to facilitating the needed upgrades. Additionally, incorporating advanced technologies such as AI and machine learning into grid management can enhance efficiency and decision-making.

As we navigate this new age of electricity, our ability to power a sustainable future relies on the modernization of our energy systems.

Today, a significant and unprecedented event is taking place in Pittsburgh—the inaugural Pennsylvania Energy and Innovation Summit at Carnegie Mellon University. This gathering embodies President Trump’s commitment to making America energy dominant, advancing technology, and creating job opportunities for working families in Pennsylvania and beyond.

Back in 2017, Trump stated he was “elected to represent the citizens of Pittsburgh, not Paris.” Today, he honors this promise by joining over 60 CEOs and major investors in announcing more than $50 billion in investments aimed at powering the AI revolution in Pennsylvania.

The importance of this gathering cannot be overstated. Leaders from key AI companies, energy producers, and investors have convened for the first time to discuss the future of technology in America.

This moment is reminiscent of the economic power centered in Pittsburgh during the era of Andrew Carnegie. These investments will significantly impact Pennsylvania’s economy and play a vital role in the future of the entire nation.

The stakes are high, as the ongoing AI revolution has the potential to reshape our economic landscape and national security. Pennsylvania is poised to lead in both American energy and AI.

The state is rich in natural resources, including vast natural gas reserves and nuclear power, which are essential for meeting the energy demands of AI data centers. Additionally, it boasts a talented workforce, bolstered by world-class universities like Carnegie Mellon, producing the next generation of engineers and scientists.

The summit emphasizes the need for collaboration among companies, investors, and labor leaders to commit to building infrastructure in Pennsylvania. This includes the construction of turbines, power plants, and enhancing vocational training programs to prepare skilled workers for AI-related jobs.

The investments announced today signify a transformative shift driven by Pennsylvania’s assets, rather than by federal initiatives. Successful job creation and economic growth are not tied to party lines.

The support for energy dominance and industrial capacity under President Trump has galvanized private sector investment. This historical moment can foster renewed industrial development in Pennsylvania, which has been a cornerstone of American innovation for centuries.

Let’s seize this opportunity to move forward together.

Uber Eats is utilizing robotic technology to enhance its food delivery process. Specifically, four-wheeled robots are being employed for the final leg of deliveries. This advancement raises questions about the role of robots in inspecting sealed boxes.

A recent breakthrough from MIT could change how robots interact with packaging. This innovative technology, known as mmNorm, allows robots to identify and assess potential damage within sealed cardboard boxes without the need to open them. The mmNorm system employs millimeter wave (mmWave) imaging, the same technology used in Wi-Fi.

Researchers have developed this system to scan containers and create accurate 3D models of their contents by analyzing signals that bounce back from hidden surfaces. This method effectively penetrates materials like cardboard and plastic, which is vital for efficient detection in warehouses. Unlike conventional radar systems that typically overlook certain reflections, mmNorm captures all the reflections to better infer the shape and orientation of hidden objects.

The lead researcher, Laura Dodds, emphasized that the system not only tracks signal sources but also the direction of the surfaces being scanned. By using a radar-equipped robotic arm to gather data around a sealed box, the robots can form a detailed 3D representation of its contents. In tests, mmNorm demonstrated an impressive 96% accuracy rate in reconstructing complex items, outperforming similar systems that achieved only 78% accuracy.

This significant improvement could greatly enhance warehouse efficiency by allowing robots to inspect contents in real time without having to unpack items. The potential applications of this technology extend beyond warehouses. It could be transformative in production lines for quality assurance, assistive living facilities for safety checks, and even in security screenings for threat detection.

Future enhancements in mmNorm aim to increase its versatility and effectiveness in various settings. As robots gain the ability to identify damage without physically opening boxes, we may see a paradigm shift in shipping and logistics processes.