Georgia regulators have unanimously approved Georgia Power's plan to add nearly 10 gigawatts of new generation and storage capacity, one of the nation's largest expansions, to address surging electricity demand from data centers supporting artificial intelligence and high-performance computing. The Georgia Public Service Commission authorized procurement of a diverse mix including natural gas, battery storage, and solar with storage. Georgia hosts key bitcoin mining operators like CleanSpark and Core Scientific. The utility highlighted "extraordinary" load growth, with about 80% of new capacity serving data centers, equivalent to powering 4 million homes. A stipulated agreement ensures revenues from large customers provide at least $556 million in annual benefits, easing residential rates post-2028. Commission Chairman Jason Shaw emphasized shifting risk to the utility if demand falters. This aggressive approach positions Georgia to reliably fuel innovation while protecting consumers.
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In "The Mundanity of Excellence," sociologist Daniel Chambliss argues that superior performance in competitive swimming arises not from innate talent, rare personality traits, or sheer quantitative effort, but from qualitative differences in technique, discipline, and attitude. Drawing on years of observation across all levels of the sport, Chambliss shows that excellence emerges from mundane, repeatable actions executed consistently and correctly. Olympic champions do not simply train harder; they perform different strokes, maintain stricter habits, and embrace what others find tedious. "Superlative performance is really a confluence of dozens of small skills or activities, each one learned or stumbled upon, which have been carefully drilled into habit," he writes. Mary T. Meagher, three-time Olympic gold medalist, echoed this: "People don’t know how ordinary success is." These insights suggest a realistic path forwards: the correct sustained small refinements, accessible to anyone willing to adopt them, compound into extraordinary achievement.
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Fears of artificial intelligence displacing jobs echo historical concerns dating back to Aristotle, the Luddites, and anxieties over electricity and computers, writes Brian Morgenstern for the New York Post. Yet, technology has consistently boosted productivity, created new industries, and raised living standards, from tractors enabling mass education to personal computers spawning software and e-commerce careers. AI excels at routine tasks like summarizing text or drafting boilerplate, freeing professionals in law, medicine, programming, and trades to focus on judgment, relationships, and creativity. "AI is not a job killer, but a job accelerator," Morgenstern argues, promising democratized expertise, greater accessibility, and upward mobility. As competitors like China advance unchecked, embracing AI could unlock innovation, new demands in health, education, and culture, fostering both human flourishing and economic growth.
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The Satoshi Nakamoto Institute is advancing its mission to create a comprehensive, freely accessible archive preserving Bitcoin's intellectual heritage, encompassing Satoshi's writings alongside foundational ideas from Austrian economics, cryptography, cypherpunk principles, free software, and political philosophy. As links decay and original voices fade, the institute is constructing robust, institutional-grade infrastructure to ensure long-term integrity and provenance. Notably, it incorporates OpenTimestamps for cryptographic proof of document entry dates, enabling future verification of authenticity. This effort empowers key holders, node runners, miners, policymakers, and researchers worldwide with reliable context for deeper understanding and innovation. "The struggle of man against power is the struggle of memory against forgetting," as the institute cites Milan Kundera, emphasizing preservation for generational knowledge and wealth.
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Couldn't agree more, the scale of energy needed for AI is truely mind-boggling. Do you see this driving innovation in green energy even faster?