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Tesla Launches Solar-Powered 'Oasis' Supercharger Station: 30-Acre Solar Farm, 39 MWh of Off-Grid Batteries

2 months 1 week ago
"Tesla has launched its new Oasis Supercharger," reports Electrek, "the long-promised EV charging station of the future, with a solar farm and off-grid batteries." Early in the deployment of the Supercharger network, Tesla promised to add solar arrays and batteries to the Supercharger stations, and CEO Elon Musk even said that most stations would be able to operate off-grid... Last year, Tesla announced a new project called 'Oasis', which consists of a new model Supercharger station with a solar farm and battery storage enabling off-grid operations in Lost Hills, California. Tesla has now unveiled the project and turned on most of the Supercharger stalls. The project consists of 168 chargers, with half of them currently operational, making it one of the largest Supercharger stations in the world. However, that's not even the most notable aspect of it. The station is equipped with 11 MW of ground-mounted solar panels and canopies, spanning 30 acres of land, and 10 Tesla Megapacks with a total energy storage capacity of 39 MWh. It can be operated off-grid, which is the case right now, according to Tesla. With off-grid operations, Tesla was about to bring 84 stalls online just in time for the Fourth of July travel weekend. The rest of the stalls and a lounge are going to open later this year. The article makes that point that "This is what charging stations should be like: fully powered by renewable energy."

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EditorDavid

How Do You Teach Computer Science in the Age of AI?

2 months 1 week ago
"A computer science degree used to be a golden ticket to the promised land of jobs," a college senior tells the New York Times. But "That's no longer the case." The article notes that in the last three years there's been a 65% drop from companies seeking workers with two years of experience or less (according to an analysis by technology research/education organization CompTIA), with tech companies "relying more on AI for some aspects of coding, eliminating some entry-level work." So what do college professors teach when AI "is coming fastest and most forcefully to computer science"? Computer science programs at universities across the country are now scrambling to understand the implications of the technological transformation, grappling with what to keep teaching in the AI era. Ideas range from less emphasis on mastering programming languages to focusing on hybrid courses designed to inject computing into every profession, as educators ponder what the tech jobs of the future will look like in an AI economy... Some educators now believe the discipline could broaden to become more like a liberal arts degree, with a greater emphasis on critical thinking and communication skills. The National Science Foundation is funding a program, Level Up AI, to bring together university and community college educators and researchers to move toward a shared vision of the essentials of AI education. The 18-month project, run by the Computing Research Association, a research and education nonprofit, in partnership with New Mexico State University, is organising conferences and roundtables and producing white papers to share resources and best practices. The NSF-backed initiative was created because of "a sense of urgency that we need a lot more computing students — and more people — who know about AI in the workforce," said Mary Lou Maher, a computer scientist and a director of the Computing Research Association. The future of computer science education, Maher said, is likely to focus less on coding and more on computational thinking and AI literacy. Computational thinking involves breaking down problems into smaller tasks, developing step-by-step solutions and using data to reach evidence-based conclusions. AI literacy is an understanding — at varying depths for students at different levels — of how AI works, how to use it responsibly and how it is affecting society. Nurturing informed skepticism, she said, should be a goal. The article raises other possibilities. Experts also suggest the possibility of "a burst of technology democratization as chatbot-style tools are used by people in fields from medicine to marketing to create their own programs, tailored for their industry, fed by industry-specific data sets." Stanford CS professor Alex Aiken even argues that "The growth in software engineering jobs may decline, but the total number of people involved in programming will increase." Last year, Carnegie Mellon actually endorsed using AI for its introductory CS courses. The dean of the school's undergraduate programs believes that coursework "should include instruction in the traditional basics of computing and AI principles, followed by plenty of hands-on experience designing software using the new tools."

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EditorDavid